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The Limits of Buyer Power
(2018)
This paper studies the behavior of buyers confronting an incumbent monopolist and a potential market entrant in a repeated trade situation. In the experiment, buyers have two possibilities to demand lower prices in future trade periods. First, they can withhold demand. Second, they can voluntarily pay a higher price to the entrant in order to encourage future re-entry. Both these forms of buyer behavior occur in the experiment. They are less frequent when the number of buyers is large as opposed to small. A control treatment tests to what extent such behavior can be attributed to strategic motives.
This paper presents an experiment on the effect of retroactive price-reduction schemes on buyers’ repeated purchase decisions. Such schemes promise buyers a reduced price for all units that are bought in a certain time frame if the total quantity that is purchased passes a given threshold. This study finds a loyalty-enhancing effect of retroactive price-reduction schemes only if the buyers ex-ante expected that entering into the scheme would maximize their monetary gain, but later learn that they should leave the scheme. Furthermore, the effect crucially hinges on the framing of the price reduction.
Being ignorant of key aspects of a strategic interaction can represent an advantage rather than a handicap. We study one particular context in which ignorance can be beneficial: iterated strategic interactions in which voluntary cooperation may be sustained into the final round if players voluntarily forego knowledge about the time horizon. We experimentally examine this option to remain ignorant about the time horizon in a finitely repeated two-person prisoners’ dilemma game. We confirm that pairs without horizon knowledge avoid the drop in cooperation that otherwise occurs toward the end of the game. However, this effect is superposed by cooperation declining more rapidly in pairs without horizon knowledge during the middle phase of the game, especially if players do not know that the other player also wanted to remain ignorant of the time horizon.
Envy is an unpleasant emotion. If individuals anticipate that comparing their payoff with the (potentially higher) payoff of others will make them envious, they may want to actively avoid information about other people’s payoffs. Given the opportunity to reduce another person’s payoff, an individual’s envy may trigger behavior that is detrimental to welfare. In this case, if individuals anticipate that they will react in a welfare-reducing way, they may also avoid information about other people’s payoffs from the outset. We investigated these two hypotheses using three experiments. We found that 13% of our potentially envious subjects avoided information when they did not have the opportunity to reduce another participant’s payoff. Psychological scales do not explain this behavior. We also found that voluntarily uninformed subjects did neither deduct less of the payoff nor less frequently than subjects who could not avoid the information.
”Thanks in Advance”
(2019)
This paper studies the effect of the commonly used phrase “thanks in advance” on compliance with a small request. In a controlled laboratory experiment we ask participants to give a detailed answer to an open question. The treatment variable is whether or not they see the phrase “thanks in advance.” Our participants react to the treatment by exerting less effort in answering the request even though they perceive the phrase as polite.
We examine the determinants of the disclosure of value-based (VB) performance measures in Germany. We argue that firms are more likely to disclose VB performance measures when information asymmetry is greater, as greater information asymmetry means firms have a greater need to credibly signal a shareholder value orientation. Using a hand-collected dataset of German listed firms covering 1,528 firm-years from 2004 to 2011, we demonstrate that firms are more likely to disclose a VB performance measure if the free float is larger than the blocking minority and also, when firms are large, if they have high foreign sales to total sales ratios and are not cross-listed internationally. Our results indicate that German firms use VB performance measures to improve investor communication and to substantiate their shareholder value orientation. Our results should be interpreted against a background of increased shareholder value orientation and sophisticated cost accounting in German firms.
This paper analyses the interaction of domestic political elites and external donors against the backdrop of Mozambique’s decentralisation process. The empirical research at national and local levels supports the hypothesis that informal power structures influence the dynamics of this interaction. Consequently, this contributes to an outcome of externally induced democratisation different to what was intended by external actors. The decentralisation process has been utilised by ruling domestic elites for political purposes. Donors have rather focused on the technical side and ignored this informal dimension. By analysing the diverging objectives and perceptions of external and internal actors, as well as the instrumentalisation of formal democratic structures, it becomes clear, that the ‘informal has to be seen as normal’. At a theoretical level, the analysis contributes to elite-oriented approaches of post-conflict democratisation by adding ‘the informal’ as an additional factor for the dynamics of external-internal interaction. At a policy level, external actors need to take more into account informal power structures and their ambivalence for state-building and democratisation.
The economic impact analysis contained in this book shows how irrigation farming is particularly susceptible when applying certain water management policies in the Australian Murray-Darling Basin, one of the world largest river basins and Australia’s most fertile region. By comparing different pricing and non-pricing water management policies with the help of the Water Integrated Market Model, it is found that the impact of water demand reducing policies is most severe on crops that need to be intensively irrigated and are at the same time less water productive. A combination of increasingly frequent and severe droughts and the application of policies that decrease agricultural water demand, in the same region, will create a situation in which the highly water dependent crops rice and cotton cannot be cultivated at all.
This paper studies the impact of a ban on late-night off-premise alcohol sales between 10 p.m. and 5 a.m. in Germany. We use three large administrative data sets: (i) German diagnosis related groups-Statistik, (ii) data from a large social health insurance, and (iii) Road Traffic Accident Statistics. Applying difference-in-differences and synthetic-control-group methods, we find that the ban had no effects on alcohol-related road casualties, but significantly reduced alcohol-related hospitalizations (doctor visits) among young people by around 9 (18) percent. The decrease is driven by fewer hospitalizations due to acute alcohol intoxication during the night—when the ban is in place—but not during the day.
Public debate about energy relations between the EU and Russia is distorted. These distortions present considerable obstacles to the development of true partnership. At the core of the conflict is a struggle for resource rents between energy producing, energy consuming and transit countries. Supposed secondary aspects, however, are also of great importance. They comprise of geopolitics, market access, economic development and state sovereignty. The European Union, having engaged in energy market liberalisation, faces a widening gap between declining domestic resources and continuously growing energy demand. Diverse interests inside the EU prevent the definition of a coherent and respected energy policy. Russia, for its part, is no longer willing to subsidise its neighbouring economies by cheap energy exports. The Russian government engages in assertive policies pursuing Russian interests. In so far, it opts for a different globalisation approach, refusing the role of mere energy exporter. In view of the intensifying struggle for global resources, Russia, with its large energy potential, appears to be a very favourable option for European energy supplies, if not the best one. However, several outcomes of the strategic game between the two partners can be imagined. Engaging in non-cooperative strategies will in the end leave all stakeholders worse-off. The European Union should therefore concentrate on securing its partnership with Russia instead of damaging it. Stable cooperation would need the acceptance that the partner may pursue his own goals, which might be different from one’s own interests. The question is, how can a sustainable compromise be found? This thesis finds that a mix of continued dialogue, a tit for tat approach bolstered by an international institutional framework and increased integration efforts appears as a preferable solution.
Public debate about energy relations between the EU and Russia is distorted. These distortions present considerable obstacles to the development of true partnership. At the core of the conflict is a struggle for resource rents between energy producing, energy consuming and transit countries. Supposed secondary aspects, however, are also of great importance. They comprise of geopolitics, market access, economic development and state sovereignty. The European Union, having engaged in energy market liberalisation, faces a widening gap between declining domestic resources and continuously growing energy demand. Diverse interests inside the EU prevent the definition of a coherent and respected energy policy. Russia, for its part, is no longer willing to subsidise its neighbouring economies by cheap energy exports. The Russian government engages in assertive policies pursuing Russian interests. In so far, it opts for a different globalisation approach, refusing the role of mere energy exporter. In view of the intensifying struggle for global resources, Russia, with its large energy potential, appears to be a very favourable option for European energy supplies, if not the best one. However, several outcomes of the strategic game between the two partners can be imagined. Engaging in non-cooperative strategies will in the end leave all stakeholders worse-off. The European Union should therefore concentrate on securing its partnership with Russia instead of damaging it. Stable cooperation would need the acceptance that the partner may pursue his own goals, which might be different from one’s own interests. The question is, how can a sustainable compromise be found? This thesis finds that a mix of continued dialogue, a tit for tat approach bolstered by an international institutional framework and increased integration efforts appears as a preferable solution.
Accurately solving classification problems nowadays is likely to be the most relevant machine learning task. Binary classification separating two classes only is algorithmically simpler but has fewer potential applications as many real-world problems are multi-class. On the reverse, separating only a subset of classes simplifies the classification task. Even though existing multi-class machine learning algorithms are very flexible regarding the number of classes, they assume that the target set Y is fixed and cannot be restricted once the training is finished. On the other hand, existing state-of-the-art production environments are becoming increasingly interconnected with the advance of Industry 4.0 and related technologies such that additional information can simplify the respective classification problems. In light of this, the main aim of this thesis is to introduce dynamic classification that generalizes multi-class classification such that the target class set can be restricted arbitrarily to a non-empty class subset M of Y at any time between two consecutive predictions.
This task is solved by a combination of two algorithmic approaches. First, classifier calibration, which transforms predictions into posterior probability estimates that are intended to be well calibrated. The analysis provided focuses on monotonic calibration and in particular corrects wrong statements that appeared in the literature. It also reveals that bin-based evaluation metrics, which became popular in recent years, are unjustified and should not be used at all. Next, the validity of Platt scaling, which is the most relevant parametric calibration approach, is analyzed in depth. In particular, its optimality for classifier predictions distributed according to four different families of probability distributions as well its equivalence with Beta calibration up to a sigmoidal preprocessing are proven. For non-monotonic calibration, extended variants on kernel density estimation and the ensemble method EKDE are introduced. Finally, the calibration techniques are evaluated using a simulation study with complete information as well as on a selection of 46 real-world data sets.
Building on this, classifier calibration is applied as part of decomposition-based classification that aims to reduce multi-class problems to simpler (usually binary) prediction tasks. For the involved fusing step performed at prediction time, a new approach based on evidence theory is presented that uses classifier calibration to model mass functions. This allows the analysis of decomposition-based classification against a strictly formal background and to prove closed-form equations for the overall combinations. Furthermore, the same formalism leads to a consistent integration of dynamic class information, yielding a theoretically justified and computationally tractable dynamic classification model. The insights gained from this modeling are combined with pairwise coupling, which is one of the most relevant reduction-based classification approaches, such that all individual predictions are combined with a weight. This not only generalizes existing works on pairwise coupling but also enables the integration of dynamic class information.
Lastly, a thorough empirical study is performed that compares all newly introduced approaches to existing state-of-the-art techniques. For this, evaluation metrics for dynamic classification are introduced that depend on corresponding sampling strategies. Thereafter, these are applied during a three-part evaluation. First, support vector machines and random forests are applied on 26 data sets from the UCI Machine Learning Repository. Second, two state-of-the-art deep neural networks are evaluated on five benchmark data sets from a relatively recent reference work. Here, computationally feasible strategies to apply the presented algorithms in combination with large-scale models are particularly relevant because a naive application is computationally intractable. Finally, reference data from a real-world process allowing the inclusion of dynamic class information are collected and evaluated. The results show that in combination with support vector machines and random forests, pairwise coupling approaches yield the best results, while in combination with deep neural networks, differences between the different approaches are mostly small to negligible. Most importantly, all results empirically confirm that dynamic classification succeeds in improving the respective prediction accuracies. Therefore, it is crucial to pass dynamic class information in respective applications, which requires an appropriate digital infrastructure.
Dealing with spam is very costly, and many organizations have tried to reduce spam-related costs by installing spam filters. Relying on modern econometric methods to reduce the selection bias of installing a spam filter, we use a unique data setting implemented at a German university to measure the costs associated with spam and the costs savings of spam filters. Our methodological framework accounts for effect heterogeneity and can be easily used to estimate the effect of other IS technologies implemented in organizations.
The majority of costs stem from the time that employees spend identifying and deleting spam, amounting to an average of approximately five minutes per employee per day. Our analysis, which accounts for selection bias, finds that the installation of a spam filter reduces these costs by roughly one third. Failing to account for the selection bias would lead to a result that suggests that installing a spam filter does not reduce working time losses.
However, cost savings only occur when the spam burden is high, indicating that spam filters do not necessarily reduce costs and are therefore no universal remedy. The analysis further shows that spam filters alone are a countermeasure against spam that exhibits only limited effectiveness because they only reduce costs by one third.
We propose a combined approach of propensity score matching with difference-in-differences methods for reducing selection biases of products being reviewed by critics. Critics' decision to review products may be driven by observable (e.g., star power) and unobservable (e.g., critics' individual preferences) factors, raising the question of reverse causality and selection biases. Our proposed approach enables to rigorously control for selection biases by observable and unobservable characteristics. We apply our methodological framework on data from the German book market and estimate the sales effect of a well-known TV critic. We identify substantial selection effects of individual critics, which result in serious underestimation of the short-term effect (up to 29 %) and the long-term effect (up to 37 %). The results emphasize the relevance of the proposed methodological framework by demonstrating that observable and unobservable factors drive selection effects.
We model migration across domestic labor markets (internal migration) as the outcome of a job search process in which job seekers form subjective beliefs about the return search effort that are related to their locus of control. Job seekers with an internal locus of control are predicted to search across larger geographic areas and migrate more frequently as a result. We empirically test the relationship between locus of control and the propensity to migrate using data from the German Socio-Economic Panel (SOEP). We find that not only do individuals with an internal locus of control express more willingness to migrate, they do in fact also migrate more often.
Standard job search theory assumes that unemployed individuals have perfect information about the effect of their search effort on the job offer arrival rate. We present an alternative model that assumes that each individual has a subjective belief about the impact of her search effort on the job arrival. These beliefs depend in part on an individual's locus of control. We estimate the impact of locus of control on job search behavior using a data set of newly unemployed individuals in Germany. Consistent with our theoretical predictions, we find evidence that individuals with an internal locus of control search more and that individuals who believe that their future outcomes are determined by external factors have lower reservation wages.
Risk attitudes influence the complete life cycle of entrepreneurs. Whereas recent research underpins the theoretical proposition of a positive correlation between risk attitudes and the decision to become self-employed, the effects on survival are not as straightforward. Psychological research posits an inverse U-shaped relationship between risk attitudes and entrepreneurial survival. On the basis of experimentally validated data of the German Socio-Economic Panel (SOEP), we examine the extent to which risk attitudes influence survival rates in self-employment in Germany. The empirical results confirm that persons whose risk attitudes are in the medium range survive significantly longer as entrepreneurs than do persons with particularly low or high risk attitudes.
Experimental evidence reveals that there is a strong willingness to trust and to act in both positively and negatively reciprocal ways. So far it is rarely analyzed whether these variables of social cognition influence everyday decision making behavior. We focus on entrepreneurs who are permanently facing exchange processes in the interplay with investors, sellers, and buyers, as well as needing to trust others and reciprocate with their network. We base our analysis on the German Socio-Economic Panel with its recently introduced questions about trust, positive reciprocity, and negative reciprocity to examine the extent that these variables influence the entrepreneurial decision processes. More specifically, we analyze whether (i) the willingness to trust other people influences the probability of starting a business; (ii) trust, positive reciprocity, and negative reciprocity influence the exit probability of entrepreneurs; and (iii) willingness to trust and to act reciprocally influences the probability of being an entrepreneur versus an employee or a manager. Our findings reveal that, in particular, trust impacts entrepreneurial development. Interestingly, entrepreneurs are more trustful than employees, but much less trustful than managers.
Based on a large, representative German household panel, we investigate to what extent the personality of individuals influences the entry decision into and the exit decision from self-employment. We reveal that some traits, such as openness to experience, extraversion, and risk tolerance affect entry, but different ones, such as agreeableness or different parameter values of risk tolerance, affect exit from self-employment. Only locus of control has a similar influence on the entry and exit decisions. The explanatory power of all observed traits among all observable variables amounts to 30 %, with risk tolerance, locus of control, and openness having the highest explanatory power.
What Makes an Employer?
(2019)
As the policy debate on entrepreneurship increasingly centers on firm growth in terms of job creation, it is important to better understand which variables influence the first hiring decision and which ones influence the subsequent survival as an employer. Using the German Socio-economic Panel (SOEP), we analyze what role individual characteristics of entrepreneurs play in sustainable job creation. While human and social capital variables positively influence the hiring decision and the survival as an employer in the same direction, we show that none of the personality traits affect the two outcomes in the same way. Some traits are only relevant for survival as an employer but do not influence the hiring decision, other traits even unfold a revolving door effect, in the sense that employers tend to fail due to the same characteristics that positively influenced their hiring decision.
Why do entrepreneurship rates differ so markedly by gender? Using data from a large representative German household panel, we investigate to what extent personality traits, human capital, and the employment history influence the start-up decision and can explain the gender gap in entrepreneurship. Applying a decomposition analysis, we observe that the higher risk aversion among women explains a large share of the entrepreneurial gender gap. We also find an education effect contributing to the gender difference. In contrast, the Big Five model and the current employment state have effects in the opposite direction, meaning that the gender gap in entrepreneurial entry would be even larger if women had the same scores and the same employment status as men. (JEL codes: L26, J16, D81, J24, M13).
Entrepreneurial persistence is demonstrated by an entrepreneur’s continued positive maintenance of entrepreneurial motivation and constantly-renewed active engagement in a new business venture despite counter forces or enticing alternatives. It is thus a crucial factor for entrepreneurs when pursuing and exploiting their business opportunities and to realize potential economic gains and benefits. Using rich data on a representative sample of German business founders, we investigate the determinants of entrepreneurial persistence. Next to observed survival we also construct a hybrid persistence measure capturing also the motivational dimension of persistence. We analyze the influence of individual-level (human capital and personality) and business-related characteristics on both measures as well as their relative importance. We find that the two indicators emphasize different aspects of persistence. For the survival indicator, the predictive power is concentrated in business characteristics and human capital, while for hybrid persistence, the dominant factors are business characteristics and personality. Finally, we show that results are heterogeneous across subgroups. In particular, formerly-unemployed founders do not differ in survival chances, but they are more likely to lack a high psychological commitment to their business ventures.
Offering unemployed individuals a subsidy to become self-employed is a widespread active labor market policy strategy. Previous studies have illustrated its high effectiveness to help participants escaping unemployment and improving their labor market prospects compared to other unemployed individuals. However, the examination of start-up subsidies from a business perspective has only received little attention to date. Using a new dataset based on a survey allows us to compare subsidized start-ups out of unemployment with regular business founders, with respect to not only personal characteristics but also business outcomes. The results indicate that previously unemployed entrepreneurs face disadvantages in variables correlated with entrepreneurial ability and access to capital. Nineteen months after start-up, the subsidized businesses experience higher survival, but lag behind regular business founders in terms of income, business growth and innovation. Moreover, we show that expected deadweight effects related to start-up subsidies occur on a (much) lower scale than usually assumed.
Sin embargo, todavia no se han analizado los efectos potencialmente heterogeneos de los programas para proyectos empresariales en los diferentes mercados laborales de ambito regional. Las restricciones en la demanda de empleo en areas mas desfavorecidas generalmente hacen aumentar el numero de personas que aprovechan estos programas porque las ofertas laborales son limitadas. Sin embargo, la supervivencia de empresas en estas areas es tambien mas baja, de modo que sigue sin estar claro el efecto general. Basandonos en datos alemanes, observamos que el proceso de creacion, el desarrollo de negocios y la eficacia de los programas estan influenciados por las condiciones economicas imperantes en el momento de la creacion de la empresa.
Many countries support business start-ups to spur economic growth and reduce unemployment with different programmes. Evaluation studies of such programmes commonly rely on the conditional independence assumption (CIA), allowing a causal interpretation of the results only if all relevant variables affecting participation and success are accounted for. While the entrepreneurship literature has emphasised the important role of personality traits as predictors for start-up decisions and business success, these variables were neglected in evaluation studies so far due to data limitations. In this paper, we evaluate a new start-up subsidy for unemployed individuals in Germany using propensity score matching under the CIA. Having access to rich administrative-survey data allows us to incorporate usually unobserved personality measures in the evaluation and investigate their impact on the estimated effects. We find strong positive effects on labour market reintegration and earned income for the new programme. Most importantly, results including and excluding individuals׳ personalities do not differ significantly, implying that concerns about potential overestimation of programme effects in the absence of personality measures might be less justified if the set of other control variables is rich enough.
Low female labor market participation is a problem many developed countries have to face. Beside activating inactive women, one possible solution is to support the re-integration of unemployed women. Due to female-specific labor market constraints (preferences for flexible working hours, discrimination), this is a difficult task, and the question arises whether active labor market policies (ALMP) are an appropriate tool to help. It has been shown that the effectiveness of traditional (ALMP) programs-which focus on the integration in dependent (potentially inflexible) employment-is positive but limited. At the same time, recent evidence for Austria shows that these programs reduce fertility which might be judged unfavorable from a societal perspective. Promoting self-employment among unemployed women might therefore be a promising alternative. Starting their own business might give women more independence and flexibility to reconcile work and family and increase labor market participation. Based on long-term informative data, we find that start-up programs persistently integrate former unemployed women into the labor market, and the impact on fertility is less detrimental than for traditional ALMP programs.
In many European countries, labor markets are characterized by high regional disparities in terms of unemployment rates on the one hand and low geographical mobility among the unemployed on the other hand. In order to counteract the geographical mismatch of workers, the German active labor market policy offers a subsidy covering moving costs to incentivize unemployed job seekers to search/accept jobs in distant regions. Based on administrative data, this study provides the first empirical evidence on the impact of this subsidy on participants' prospective labor market outcomes. We use an instrumental variable approach to take endogenous selection based on observed and unobserved characteristics into account when estimating causal treatment effects. We find that unemployed job seekers who participate in the subsidy program and move to a distant region receive higher wages and find more stable jobs compared to non-participants. We show that the positive effects are (to a large extent) the consequence of a better job match due to the increased search radius of participants.
In some countries including Germany unemployed workers can increase their income by working a few hours per week. The intention is to keep unemployed job seekers attached to the labour market and to increase their job-finding probabilities. To analyze the unemployment dynamics of job seekers with and without marginal employment, we consider an inflow sample into unemployment and estimate multivariate duration models. While we do not find any significant impact on the job finding probability in a model with homogeneous effects, models allowing for time-varying coefficients indicate a decreased job finding probability of marginal employment at the beginning of the unemployment spell and an increased job finding probability for the long-term unemployed. Our results suggest that job seekers with marginal employment find more stable post-unemployment jobs, and we find some evidence that the relationship between marginal employment and wages and employment stability varies with respect to skill levels, sector and labor market tightness. (C) 2016 Elsevier B.V. All rights reserved.
From an active labor market policy perspective, start-up subsidies for unemployed individuals are very effective in improving long-term labor market outcomes for participants. From a business perspective, however, the assessment of these public programs is less clear since they might attract individuals with low entrepreneurial abilities and produce businesses with low survival rates and little contribution to job creation, economic growth, and innovation. In this paper, we use a rich data set to compare participants of a German start-up subsidy program for unemployed individuals to a group of regular founders who started from nonunemployment and did not receive the subsidy. The data allows us to analyze their business performance up until 40 months after business formation. We find that formerly subsidized founders lag behind not only in survival and job creation, but especially also in innovation activities. The gaps in these business outcomes are relatively constant or even widening over time. Hence, we do not see any indication of catching up in the longer run. While the gap in survival can be entirely explained by initial differences in observable start-up characteristics, the gap in business development remains and seems to be the result of restricted access to capital as well as differential business strategies and dynamics. Considering these conflicting results for the assessment of the subsidy program from an ALMP and business perspective, policy makers need to carefully weigh the costs and benefits of such a strategy to find the right policy mix.
In 2015, Germany introduced a statutory hourly minimum wage that was not only universally binding but also set at a relatively high level. We discuss the short-run effects of this new minimum wage on a wide set of socio-economic outcomes, such as employment and working hours, earnings and wage inequality, dependent and self-employment, as well as reservation wages and satisfaction. We also discuss difficulties in the implementation of the minimum wage and the measurement of its effects related to non-compliance and suitability of data sources. Two years after the minimum wage introduction, the following conclusions can be drawn: while hourly wages increased for low-wage earners, some small negative employment effects are also identifiable. The effects on aspired goals, such as poverty and inequality reduction, have not materialized in the short run. Instead, a tendency to reduce working hours is found, which alleviates the desired positive impact on monthly income. Additionally, the level of non-compliance was substantial in the short run, thus drawing attention to problems when implementing such a wide-reaching policy.
The German start-up subsidy (SUS) program for the unemployed has recently undergone a major make-over, altering its institutional setup, adding an additional layer of selection and leading to ambiguous predictions of the program’s effectiveness. Using propensity score matching (PSM) as our main empirical approach, we provide estimates of long-term effects of the post-reform subsidy on individual employment prospects and labor market earnings up to 40 months after entering the program. Our results suggest large and persistent long-term effects of the subsidy on employment probabilities and net earned income. These effects are larger than what was estimated for the pre-reform program. Extensive sensitivity analyses within the standard PSM framework reveal that the results are robust to different choices regarding the implementation of the weighting procedure and also with respect to deviations from the conditional independence assumption. As a further assessment of the results’ sensitivity, we go beyond the standard selection-on-observables approach and employ an instrumental variable setup using regional variation in the likelihood of receiving treatment. Here, we exploit the fact that the reform increased the discretionary power of local employment agencies in allocating active labor market policy funds, allowing us to obtain a measure of local preferences for SUS as the program of choice. The results based on this approach give rise to similar estimates. Thus, our results indicating that SUS are still an effective active labor market program after the reform do not appear to be driven by “hidden bias”.
1. Abstract 2. Introduction to the main monetary policy tools in China 2.1 Reserve requirements 2.2 Open market operations 2.3 Interest rate policy 2.4 Credit policy and window guidance 2.5 Real estate credit control 3. Loosening monetary policy and its effect on the banking 3.1 Loosening monetary policy measures 3.2 The effect of the expansionary monetary policy on the banking 4. Sound monetary policy with tight trend and its effect on banking 4.1 Main measures of the sound monetary policy with tight trend 4.2 The effect of sound monetary policy with tight trend on banking 5. Conclusion
China, as being the largest foreign direct investment (FDI) host country in the world and the leading developing country in terms of volume of FDI inflows, has been increasingly attracting international attention from companies and policy makers. As more and more German manufacturing companies move into China, the investment is becoming larger in size and of higher quality. In the meantime, issues of the motives and nature of German FDI in China and related technological activities are developed to a more important topic for both Chinese and overseas researchers. This paper aims at the analysis and explanation of FDI movement driven by German companies in China and the role of technology hereby. Our research includes a literature review, a database analysis and a mail survey on German firms investing in China. Different indicators suggest that the motives for German FDI are long-term based and are deeply market-oriented, which can be characterised through seeking new markets and enlarging market shares. Technology transfer is therefore mainly dedicated to production and managerial facilities.
New survey data for a panel of Polish firms is used to estimate employment and wage adjustments under various forms of ownership (insider vs. outsider) and asymmetric response to exogenous shocks. In contrast to earlier studies, dynamic panel data estimators (GMM) allow for endogeneity of observed variables and partial adjustment to shocks. Results differ from other findings in the transition literature: wages have little effect on dynamic labor demand and the firm-size wage effect is confirmed. Firms that expand employment have to pay significantly larger wage increases and rising sales add little to employment, suggesting labor hoarding. Dec1ining sales, however, significantly reduce employment and privatization (or anticipation thereof) has the expected benefits.
Privatisation and ownership : the impact on firms in transition survey evidence from Bulgaria
(1999)
Previous papers in this Special Series, have described in detail the theoretical background and development patterns, along with some empirical results, for the privatisation processes in Bulgaria and Poland. A range of issues have been raised which demand closer empirical investigation. For this purpose, the research group has developed questionnaire studies for Bulgaria and Poland. In Bulgaria, the National Statistical Institute (NSI) carried out the case studies between February and April 1998. The problems of the questionnaire set-up were identified in apre-test study, but unlike the Polish case, they led to only minor differentiation. Since financial limitations prevented a larger sample size, a sample size of 61 mid-sized and large Bulgarian enterprises was selected. Failure to respond was not a serious problem, unlike with the Polish questionnaire; this is because the NSI has maintained good links to the enterprise sector and management were prepared to give detailed answers, even on questions of their firms' financial status. However, as the Polish experience suggests, it has become obvious that the privatisation process is also associated with management's increasing reluctance to answer comparatively 'intimate' questions. Thus, future questionnaire studies must take a much higher rate of refusals into consideration. The pre-selection procedure in Bulgaria was determined by the project target, which sought to analyse the effects of the privatisation process on firm' s behaviour during the transition process, and hence only firms which had already existed before the changes were included. For small and medium-size enterprises (SME's), most of which were founded after the changes, partly due to the legal processes of spontaneous privatisation, some empirical, as weIl as analytical, studies were carried out. Thus, the research group limited the scope of investigation to enterprises with more than 250 employees. The underlying hypothesis is that employment problems are concentrated in larger firms, in particular amongst those still (partly) state owned. Because of the former ownership structures and relatively slower capacity for management change, the assumption is that state-owned enterprises (SOE's) which have only been recently privatised might still have traditional links to government even after privatisation. On the one hand, the SME's are obviously more prone to, and linked with, market processes. As a result, they don't have the financial potential and incentives to follow job-hoarding strategies. On the other hand, there are almost no SME's which are still stateowned. Hence, the prevailing opinion in the literature is that 'larger industrial firms were apt to be least efficient, most often producing inadequate and non-competitive products, with a high degree ofunder-utilisation oflabour and most inflexible to change' (lones & Nikolov 1997, p. 252). Thus, as mentioned above, though there may be some limitations with regard to firm representation, our sample characterises a number of enterprises that offer fertile ground for the analysis of firms' adjustment to the newly established market realities in a transition economy. Our study is unique in the sense that existing empirical studies on privatisation and enterprise restructuring generally cover the time period just before and after the initial stages of transition, e.g. 1988/89 to 1992. In those studies, samples of firms in the Czech Republic, Poland, Hungary and Bulgaria recognise that behavioural adaptations at the enterprise level had taken place just before the actual privatisation process materialised. Therefore, almost all of the firms under examination were still state-owned. The firms were usually divided according to their performance as 'good', 'average' and 'bad' enterprises. The main findings of those early studies have shown that the macroeconomic adaptations (i.e., macro-level changes which induced micro-level adjustment by the firms), as well as emerging market structures, have created enormous pressures which in turn have influenced firms' economic behaviour, reallocation of resources and consequent restructuring. This evidence supports the hypothesis that the SOE's started restructuring and adjusting their behaviour and performance, in response to the harsh realities of more open markets, before privatisation actually started. In this paper, we seek to present some results on these developments in Bulgaria, at the later stages of transition and privatisation (1992-1996). The aim of our questionnaire study is therefore to show the effects of the privatisation process and ownership on the behavioural adaptations of firms which had once been state-owned or continue to be owned by the state. The period under investigation is 1992 to 1996. For 1990 and 1991, the number of missing values is reactively high and, where relevant, we partly exclude these observations from our analysis. The paper contains seven sections. Section 11 outlines the macroeconomic environment in which our sample firms operate, provides some specifics of the Bulgarian privatisation process, and discusses data quality. Section 111 concentrates on the analysis of privatisation, the specific forms of ownership that resulted from it, and firm size. In Section IV, we describe the trends of the main economic variables within firms (such as employment, wages, labour productivity, etc), and a number of proxies of firm viability, while Section V presents some regression results to corroborate the discussion of the previous section. Section VI gives an overview of survey results of the impact of enterprise determined wage policy, trade union activity and membership, government control, and social benefits on enterprise restructuring. Section VII is a summary of our findings.
In socialist economies firms have provided various social benefits, like child care, health care, food subsidies, housing etc. Using panel data from Bulgarian and Polish firms, this paper attempts to explain firm-specific provision of social benefits in the process of transition. We investigate empirically with the help of qualitative response models, how ownership type and structure, firm size, profitability, change in management, foreign direct investment, wage and employment policies, union involvement and employee power have impacted the state of non-wage benefits provision.
The newly collected Potsdam Grievance Statistics File (PGSF) holds data on the number and topics of grievances (Eingaben) that were addressed to local authorities of the German Democratic Republic (GDR) in the years 1970 to 1989. The PGSF allows quantitative analyses on topics such as participation, quality of life, and value change in the German Democratic Republic. This paper introduces the concepts of the data set and discusses the validity of its contents.
This paper examines the consequences of international financial integration in a two-sector standard incomplete markets model with occupational choice under risk and financial constraints affecting entrepreneurial activity. We endogenize international productivity differences and discuss the implications of international integration for the macroeconomy, inequality, and welfare. Lending countries are characterized by tighter domestic constraints and experience an increase in gross national product, whereas the gross domestic product effect is ambiguous. We conclude that international integration is beneficial only for economies where there are substantial financial constraints on entrepreneurial activity. Otherwise, a majority of households suffer, due to the unequal distribution of welfare gains and losses across the heterogeneous population.
This paper describes the equilibrium properties and dynamics of a model which combines the key features of the standard incomplete market model (Aiyagari, 1994) with a standard endogenous growth mechanism to gain a deeper understanding of the feedback effects between growth and wealth inequality in the presence of credit frictions and idiosyncratic risk. We characterize growth equilibria and find that a balanced growth path not necessarily exists if households are subject to ad hoc borrowing constraints. Growth, inequality, and risk are positively related in our model, but we also identify a hump-shaped relationship between welfare and risk, indicating a tradeoff relationship between risk-pooling and growth in the determination of welfare. The growth rate responds to changes in the wealth distribution and displays transitional dynamics towards the balanced growth path. (C) 2015 Elsevier Inc. All rights reserved.
In this paper we examine the relationship between the default risk of banks and sovereigns, i.e. the 'doom-loop'. Specifically, we try to assess the effectiveness of the implementation of the new recovery and resolution framework in the European Union. We use a panel with daily data on European banks and sovereigns ranging from 2012 to 2016 in order to test the effects of the Bank Recovery and Resolution Directive on the two-way feedback process. We find that there was a pronounced feedback loop between banks and sovereigns from 2012 to 2014. However, after the implementation of the European Banking Union, in 2015/2016, the magnitude of the doom-loop decreased and the spillovers became not statistically significant. Furthermore, our results suggest that the implementation of the new resolution framework is a suitable candidate to explain this finding. Overall, the results are robust across several specifications.
Increasing production activities have been observed in many EU member states since the EU Commission sent a clear signal establishing and supporting the bioenergy industry. This article discusses current sector developments and therewith evolving biofuel value chain activities and management requirements by means of two German biofuel processing firms. Usually, the processing company can be regarded as the initiator of the regional value chains. In order to safeguard the high initial investments and secure efficient supply, the processing company relies on contract farming or profit participation rights rather than spot market interactions. In addition to discussing that point, this paper also explores opportunities and threats for the suppliers of raw materials as well as for the processors.
Structural change in the agricultural sector as well as in the whole agricultural value chain is an ongoing dynamic process and affords a number of diverse phenomena. Since the EU Commission sent a clear signal establishing and supporting the bioenergy industry, increasing production activities can be observed in many EU member states. In this paper, we discuss current sector developments and address the organisation structure of the biomass-based energy value chain, exemplifying the production of bioethanol and biodiesel separately. Usually, the processing company can be regarded as the initiator of the regional value chains. In order to safeguard the high initial investments and secure efficient supply, the processing company relies on contract farming or profit participation rights rather than spot market interactions. In addition to discussing that point, this article also explores opportunities and threats for the suppliers as well as for the processors.
The role of knowledge in the policy process remains a central theoretical puzzle in policy analysis and political science. This article argues that an important yet missing piece of this puzzle is the systematic exploration of the political use of policy knowledge. While much of the recent debate has focused on the question of how the substantive use of knowledge can improve the quality of policy choices, our understanding of the political use of knowledge and its effects in the policy process has remained deficient in key respects. A revised conceptualization of the political use of knowledge is introduced that emphasizes how conflicting knowledge can be used to contest given structures of policy authority. This allows the analysis to differentiate between knowledge creep and knowledge shifts as two distinct types of knowledge effects in the policy process. While knowledge creep is associated with incremental policy change within existing policy structures, knowledge shifts are linked to more fundamental policy change in situations when the structures of policy authority undergo some level of transformation. The article concludes by identifying characteristics of the administrative structure of policy systems or sectors that make knowledge shifts more or less likely.
This article merges theoretical literature on non-controlling minority shareholdings (NCMS) in a coherent model to study the effects of NCMS on competition and collusion. The model encompasses both the case of a common owner holding shares of rival firms as well as the case of cross ownership among rivals. We find that by softening competition, NCMS weaken the sustainability of collusion under a greater variety of situations than was indicated by earlier literature. Such effects exist, in particular, in the presence of an effective competition authority.
This article merges theoretical literature on non-controlling minority shareholdings (NCMS) in a coherent model to study the effects of NCMS on competition and collusion. The model encompasses both the case of a common owner holding shares of rival firms as well as the case of cross ownership among rivals. We find that by softening competition, NCMS weaken the sustainability of collusion under a greater variety of situations than was indicated by earlier literature. Such effects exist, in particular, in the presence of an effective competition authority.
Traditional organizations are strongly encouraged by emerging digital customer behavior and digital competition to transform their businesses for the digital age. Incumbents are particularly exposed to the field of tension between maintaining and renewing their business model. Banking is one of the industries most affected by digitalization, with a large stream of digital innovations around Fintech. Most research contributions focus on digital innovations, such as Fintech, but there are only a few studies on the related challenges and perspectives of incumbent organizations, such as traditional banks. Against this background, this dissertation examines the specific causes, effects and solutions for traditional banks in digital transformation − an underrepresented research area so far.
The first part of the thesis examines how digitalization has changed the latent customer expectations in banking and studies the underlying technological drivers of evolving business-to-consumer (B2C) business models. Online consumer reviews are systematized to identify latent concepts of customer behavior and future decision paths as strategic digitalization effects. Furthermore, the service attribute preferences, the impact of influencing factors and the underlying customer segments are uncovered for checking accounts in a discrete choice experiment. The dissertation contributes here to customer behavior research in digital transformation, moving beyond the technology acceptance model. In addition, the dissertation systematizes value proposition types in the evolving discourse around smart products and services as key drivers of business models and market power in the platform economy.
The second part of the thesis focuses on the effects of digital transformation on the strategy development of financial service providers, which are classified along with their firm performance levels. Standard types are derived based on fuzzy-set qualitative comparative analysis (fsQCA), with facade digitalization as one typical standard type for low performing incumbent banks that lack a holistic strategic response to digital transformation. Based on this, the contradictory impact of digitalization measures on key business figures is examined for German savings banks, confirming that the shift towards digital customer interaction was not accompanied by new revenue models diminishing bank profitability. The dissertation further contributes to the discourse on digitalized work designs and the consequences for job perceptions in banking customer advisory. The threefold impact of the IT support perceived in customer interaction on the job satisfaction of customer advisors is disentangled.
In the third part of the dissertation, solutions are developed design-oriented for core action areas of digitalized business models, i.e., data and platforms. A consolidated taxonomy for data-driven business models and a future reference model for digital banking have been developed. The impact of the platform economy is demonstrated here using the example of the market entry by Bigtech. The role-based e3-value modeling is extended by meta-roles and role segments and linked to value co-creation mapping in VDML. In this way, the dissertation extends enterprise modeling research on platform ecosystems and value co-creation using the example of banking.
A Local Dimension of Integration Policies? A Comparative Study of Berlin, Malmo, and Rotterdam
(2015)
This study examines three theses on local integration policies by a qualitative comparative case study of integration policies in three cities in three different countries (Berlin, Malmo, and Rotterdam). We found little evidence of a congruent local dimension of integration policies. Local policies resemble their national policy frameworks fairly well in terms of policy approaches and domains. Our multi-level perspective shows that this is not the result of top-down hierarchical governance, but rather of a multilevel dynamic of two-way interaction. Local policy legacies and local politics matter and national policies are also influenced by local approaches of integration.
This paper analyses the macroeconomic developments which have taken place in the Bulgarian economy in the period 1993-1997. The paper also looks at the institutional arrangements and the process of economic policy-making in the country. In this context the problems the Bulgarian economy has experienced in the transition process towards a market-oriented economy are also studied. The paper proceeds as follows: Section 2 looks at the institutional arrangements and the process of economic policy-making through 1995. Section 3 studies the deep economic crisis in 1996 and points out what went wrong in that period. Section 4 continues studying the economic crisis of the Bulgarian economy as well as the problems in the transition process during the first half of 1997. Section 5 looks at the economic developments during the second half of 1997 and points to the prospects for growth in 1998. Section 6 deals with the Bulgarian financial institutions and the existing institutional arrangements. Finally, Section 7 concludes the paper.
Limiting global warming to well below 2 degrees C may pose threats to macroeconomic and financial stability. In an estimated Euro Area New Keynesian model with financial frictions and climate policy, we study the possible perils of a low-carbon transition and evaluate the role of monetary policy and financial regulation. We show that, even for very ambitious climate targets, transition costs are moderate along a timely and gradual mitigation pathway. Inflation volatility strongly increases for disorderly climate policy, demanding a strong monetary response by central banks. In reaction to an adverse financial shock originating in the fossil sector, a green quantitative easing policy can provide an effective stimulus to the economy, but its stabilizing properties do not significantly differ from those of market neutral asset purchase programs. A financial regulation, encouraging the decarbonization of the banks' balance sheets via ad hoc capital requirements, can significantly reduce the severity of a financial crisis, but prolongs the recovery phase. Our results suggest that the involvement of central banks in climate actions must be carefully designed to be in compliance with their mandate and to avoid unintended trade-offs.
Coal transitions - part 1
(2021)
A rapid coal phase-out is needed to meet the goals of the Paris Agreement, but is hindered by serious challenges ranging from vested interests to the risks of social disruption. To understand how to organize a global coal phase-out, it is crucial to go beyond cost-effective climate mitigation scenarios and learn from the experience of previous coal transitions. Despite the relevance of the topic, evidence remains fragmented throughout different research fields, and not easily accessible. To address this gap, this paper provides a systematic map and comprehensive review of the literature on historical coal transitions. We use computer-assisted systematic mapping and review methods to chart and evaluate the available evidence on historical declines in coal production and consumption. We extracted a dataset of 278 case studies from 194 publications, covering coal transitions in 44 countries and ranging from the end of the 19th century until 2021. We find a relatively recent and rapidly expanding body of literature reflecting the growing importance of an early coal phase-out in scientific and political debates. Previous evidence has primarily focused on the United Kingdom, the United States, and Germany, while other countries that experienced large coal declines, like those in Eastern Europe, are strongly underrepresented. An increasing number of studies, mostly published in the last 5 years, has been focusing on China. Most of the countries successfully reducing coal dependency have undergone both demand-side and supply-side transitions. This supports the use of policy approaches targeting both demand and supply to achieve a complete coal phase-out. From a political economy perspective, our dataset highlights that most transitions are driven by rising production costs for coal, falling prices for alternative energies, or local environmental concerns, especially regarding air pollution. The main challenges for coal-dependent regions are structural change transformations, in particular for industry and labor. Rising unemployment is the most largely documented outcome in the sample. Policymakers at multiple levels are instrumental in facilitating coal transitions. They rely mainly on regulatory instruments to foster the transitions and compensation schemes or investment plans to deal with their transformative processes. Even though many models suggest that coal phase-outs are among the low-hanging fruits on the way to climate neutrality and meeting the international climate goals, our case studies analysis highlights the intricate political economy at work that needs to be addressed through well-designed and just policies.
Wie hängen Vertrauen, Konsumeinstellungen und Verhalten bezüglich Fairtrade zusammen?
Dies ist die grundlegende Frage, mit der sich diese Arbeit beschäftigt. Lea Dirkwinkel analysiert die Fragestellung am Beispiel des Fairtrade-Labels, das als Symbol für das Produktzertifizierungssystem von Fairtrade International steht und das bekannteste Beispiel der Fairtrade-Bewegung darstellt.
Die Forschungsfrage wird einerseits zurückgeführt auf die Tatsache, dass die Qualität von Fairtrade-Gütern durch Konsumenten nicht erfasst werden kann, und andererseits durch die sogenannte Einstellungs-Verhaltens-Lücke begründet. Die Einstellungs-Verhaltens-Lücke beschreibt die kognitive Dissonanz zwischen positiven ethischen Einstellungen und Kaufintentionen sowie dem tatsächlichen Kaufverhalten und widerspricht traditionellen Einstellungs-Verhaltens-Modellen, die besagen, dass die Einstellung das Verhalten von Menschen bestimmt. Beide zuvor genannten Aspekte begründen in der Marketingtheorie die Relevanz von Vertrauen für den Konsum von Fairtrade-Produkten, aber auch anderen nachhaltigen Gütern.
Die Analyse basiert auf einer Online-Datenerhebung und erfolgte anhand der Kombination aus Conjoint Analyse und Strukturgleichungsanalyse. Die innovative methodische Vorgehensweise lieferte sowohl für die Marketingforschung als auch für die Praxis relevante Ergebnisse. Zum einem wird die wichtige Rolle von Vertrauen für den Fairtrade-Konsum bestätigt; zum anderen erklärt die Arbeit, wie sich Fairtrade-Vertrauen auswirkt. Das Vertrauen in das Fairtrade-Label stellt den Ausgangspunkt für Vertrauensbeziehungen zwischen Fairtrade und den Konsumenten dar und wird auf die zertifizierten Produkte übertragen.
Empfehlungen, die sich daraus ergeben, konzentrieren sich auf Maßnahmen, die das Vertrauen in Fairtrade-Labels stärken, z.B. durch die Reduzierung der Anzahl verschiedener Labels oder die verstärkte Kommunikation der Unabhängigkeit von Zertifizierungsorganisationen.
In the recent years there are many researchs discussing the effects of trade policy (tariffs, subsidies etc.) in international trade. The results are manifold. Some authors show that trade policy has negative effects on welfare, some spatial economists demonstrate that trade policy can have positive effects on welfare. This paper considers the effects of the trade policy made by both countries participating in international trade in a spatial economic model. It can be showed that trade policy of both trade partners (tariffs of one country and export subsidies of the other country) can improve the world welfare in comparison with free trade.
1. Porter strategic competitive analysis 2. A Porter analysis of the competitive advantage of banks in business lending and proprietary trading 3. Summary, competitive advantage of banks in business lending and proprietary trading 4. JPMorgan’s “London Whale” speculation 5. A common misapprehension about hedged positions in corporate debt 6. Conclusion
Technological advancements are giving rise to the fourth industrial revolution - Industry 4.0 -characterized by the mass employment of smart objects in highly reconfigurable and thoroughly connected industrialproduct-service systems. The purpose of this paper is to propose a theory-based knowledgedynamics model in the smart grid scenario that would provide a holistic view on the knowledge-based interactions among smart objects, humans, and other actors as an underlyingmechanism of value co-creation in Industry 4.0. A multi-loop and three-layer - physical, virtual, and interface - model of knowledge dynamics is developedby building on the concept of ba - an enabling space for interactions and theemergence of knowledge. The model depicts how big data analytics are just one component inunlocking the value of big data, whereas the tacit engagement of humans-in-the-loop - theirsense-making and decision-making - is needed for insights to be evoked fromanalytics reports and customer needs to be met.
Recent research suggests that design thinking practices may foster the development of needed capabilities in new digitalised landscapes. However, existing publications represent individual contributions, and we lack a holistic understanding of the value of design thinking in a digital world. No review, to date, has offered a holistic retrospection of this research. In response, in this bibliometric review, we aim to shed light on the intellectual structure of multidisciplinary design thinking literature related to capabilities relevant to the digital world in higher education and business settings, highlight current trends and suggest further studies to advance theoretical and empirical underpinnings. Our study addresses this aim using bibliometric methods—bibliographic coupling and co-word analysis as they are particularly suitable for identifying current trends and future research priorities at the forefront of the research. Overall, bibliometric analyses of the publications dealing with the related topics published in the last 10 years (extracted from the Web of Science database) expose six trends and two possible future research developments highlighting the expanding scope of the design thinking scientific field related to capabilities required for the (more sustainable and human-centric) digital world. Relatedly, design thinking becomes a relevant approach to be included in higher education curricula and human resources training to prepare students and workers for the changing work demands. This paper is well-suited for education and business practitioners seeking to embed design thinking capabilities in their curricula and for design thinking and other scholars wanting to understand the field and possible directions for future research.
Recent research suggests that design thinking practices may foster the development of needed capabilities in new digitalised landscapes. However, existing publications represent individual contributions, and we lack a holistic understanding of the value of design thinking in a digital world. No review, to date, has offered a holistic retrospection of this research. In response, in this bibliometric review, we aim to shed light on the intellectual structure of multidisciplinary design thinking literature related to capabilities relevant to the digital world in higher education and business settings, highlight current trends and suggest further studies to advance theoretical and empirical underpinnings. Our study addresses this aim using bibliometric methods—bibliographic coupling and co-word analysis as they are particularly suitable for identifying current trends and future research priorities at the forefront of the research. Overall, bibliometric analyses of the publications dealing with the related topics published in the last 10 years (extracted from the Web of Science database) expose six trends and two possible future research developments highlighting the expanding scope of the design thinking scientific field related to capabilities required for the (more sustainable and human-centric) digital world. Relatedly, design thinking becomes a relevant approach to be included in higher education curricula and human resources training to prepare students and workers for the changing work demands. This paper is well-suited for education and business practitioners seeking to embed design thinking capabilities in their curricula and for design thinking and other scholars wanting to understand the field and possible directions for future research.
Many European countries have experienced a significant increase of unemployment in recent years. This paper reviews several theoretical models that try to explain this phenomenon. Predominantly, these models claim a link between the poor performance of European labor markets and the high level of market regulation. Commonly referred to as the Eurosclerosis debate, prominent approaches consider insider-outsider relationships, search-models, and the influence of hiring and firing costs on equilibrium employment. The paper presents empirical evidence of each model and studies the relevance of the identified rigidities as a determinant of high unemployment in Europe. Furthermore, a case study analyzes the unemployment problem in Germany and critically discusses new reform efforts. In particular this section analyzes whether the recently enacted Hartz reforms can induce higher employment.
This paper-based dissertation aims to contribute to the open innovation (OI) and technology management (TM) research fields by investigating their mechanisms, and potentials at the operational level. The dissertation connects the well-known concept of technology management with OI formats and applies these on specific manufacturing technologies within a clearly defined setting.
Technological breakthroughs force firms to continuously adapt and reinvent themselves. The pace of technological innovation and their impact on firms is constantly increasing due to more connected infrastructure and accessible resources (i.e. data, knowledge). Especially in the manufacturing sector it is one key element to leverage new technologies to stay competitive. These technological shifts call for new management practices.
TM supports firms with various tools to manage these shifts at different levels in the firm. It is a multifunctional and multidisciplinary field as it deals with all aspects of integrating technological issues into business decision-making and is directly relevant to a number of core business processes. Thus, it makes sense to utilize this theory and their practices as a foundation of this dissertation. However, considering the increasing complexity and number of technologies it is not sufficient anymore for firms to only rely on previous internal R&D and managerial practices. OI can expanse these practices by involving distributed innovation processes and accessing further external knowledge sources. This expansion can lead to an increasing innovation performance and thereby accelerate the time-to-market of technologies.
Research in this dissertation was based on the expectations that OI formats will support the R&D activities of manufacturing technologies on the operational level by providing access to resources, knowledge, and leading-edge technology. The dissertation represents uniqueness regarding the rich practical data sets (observations, internal documents, project reviews) drawn from a very large German high-tech firm. The researcher was embedded in an R&D unit within the operational TM department for manufacturing technologies. The analyses include 1.) an exploratory in-depth analysis of a crowdsourcing initiative to elaborate the impact on specific manufacturing technologies, 2.) a deductive approach for developing a technology evaluation score model to create a common understanding of the value of selected manufacturing technologies at the operational level, and 3.) an abductive reasoning approach in form of a longitudinal case study to derive important indicator for the in-process activities of science-based partnership university-industry collaboration format. Thereby, the dissertation contributed to research and practice 1.) linkages of TM and OI practices to assimilate technologies at the operational level, 2.) insights about the impact of CS on manufacturing technologies and a related guideline to execute CS initiatives in this specific environment 3.) introduction of manufacturing readiness levels and further criteria into the TM and OI research field to support decision-makers in the firm in gaining a common understanding of the maturity of manufacturing technologies and, 4.) context-specific important indicators for science based university-industry collaboration projects and a holistic framework to connect TM with the university-industry collaboration approach
The findings of this dissertation illustrate that OI formats can support the acceleration of time-to-market of manufacturing technologies and further improve the technical requirements of the product by leveraging external capabilities. The conclusions and implications made are intended to foster further research and improve managerial practices to evolve TM into an open collaborative context with interconnectivities between all internal and external involved technologies, individuals and organizational levels.
This book deals with the inner life of the capitalist firm. There we find numerous conflicts, the most important of which concerns the individual employment relationship which is understood as a principal-agent problem between the manager, the principal, who issues orders that are to be followed by the employee, the agent. Whereas economic theory traditionally analyses this relationship from a (normative) perspective of the firm in order to support the manager in finding ways to influence the behavior of the employees, such that the latter – ideally – act on behalf of their superior, this book takes a neutral stance. It focusses on explaining individual behavioral patterns and the resulting interactions between the actors in the firm by taking sociological, institutional, and above all, psychological research into consideration. In doing so, insights are gained which challenge many assertions economists take for granted.
This thesis puts the citizen-state interaction at its center. Building on a comprehensive model incorporating various perspectives on this interaction, I derive selected research gaps. The three articles, comprising this thesis, tackle these gaps. A focal role plays the citizens’ administrative literacy, the relevant competences and knowledge necessary to successfully interact with public organizations. The first article elaborates on the different dimensions of administrative literacy and develops a survey instrument to assess these. The second study shows that public employees change their behavior according to the competences that citizens display during public encounters. They treat citizens preferentially that are well prepared and able to persuade them of their application’s potential. Thereby, they signal a higher success potential for bureaucratic success criteria which leads to the employees’ cream-skimming behavior. The third article examines the dynamics of employees’ communication strategies when recovering from a service failure. The study finds that different explanation strategies yield different effects on the client’s frustration. While accepting the responsibility and explaining the reasons for a failure alleviates the frustration and anger, refusing the responsibility leads to no or even reinforcing effects on the client’s frustration. The results emphasize the different dynamics that characterize the nature of citizen-state interactions and how they establish their short- and long-term outcomes.
The public encounter
(2019)
This thesis puts the citizen-state interaction at its center. Building on a comprehensive model incorporating various perspectives on this interaction, I derive selected research gaps. The three articles, comprising this thesis, tackle these gaps. A focal role plays the citizens’ administrative literacy, the relevant competences and knowledge necessary to successfully interact with public organizations. The first article elaborates on the different dimensions of administrative literacy and develops a survey instrument to assess these. The second study shows that public employees change their behavior according to the competences that citizens display during public encounters. They treat citizens preferentially that are well prepared and able to persuade them of their application’s potential. Thereby, they signal a higher success potential for bureaucratic success criteria which leads to the employees’ cream-skimming behavior. The third article examines the dynamics of employees’ communication strategies when recovering from a service failure. The study finds that different explanation strategies yield different effects on the client’s frustration. While accepting the responsibility and explaining the reasons for a failure alleviates the frustration and anger, refusing the responsibility leads to no or even reinforcing effects on the client’s frustration. The results emphasize the different dynamics that characterize the nature of citizen-state interactions and how they establish their short- and long-term outcomes.
Public pensions in the U.S.
(2005)
Contents: The Public Old Age Insurance of the U.S. -Historical overview -Technical details -Individual equity and social adequacy The Economic Problem of Old Age -Risks and economic security -Old age, retirement, and idividual precaution -Insurance markets, market failures, and social insurance -Options for public pension systems The Problems of Social Security -The financial balance of OASDI -Causes of the long-run problems -Rates of return -Conclusion - The case for Social Security reform Proposed Remedies -Full, partial, or no privatization? -The President's Commission to Strengthen Social Security -Kotlikoff's Personal Security System -The Diamond-Orszag Three-Part plan
Pigou in the 21st century
(2021)
The year 2020 marks the centennial of the publication of Arthur Cecil Pigou's magnum opus The Economics of Welfare. Pigou's pricing principles have had an enduring influence on the academic debate, with a widespread consensus having emerged among economists that Pigouvian taxes or subsidies are theoretically desirable, but politically infeasible. In this article, we revisit Pigou's contribution and argue that this consensus is somewhat spurious, particularly in two ways: (1) Economists are too quick to ignore the theoretical problems and subtleties that Pigouvian pricing still faces; (2) The wholesale skepticism concerning the political viability of Pigouvian pricing is at odds with its recent practical achievements. These two points are made by, first, outlining the theoretical and political challenges that include uncertainty about the social cost of carbon, the unclear relationship between the cost-benefit and cost-effectiveness approaches, distributional concerns, fragmented ministerial responsibilities, an unstable tax base, commitment problems, lack of acceptance and trust between government and citizens as well as incomplete international cooperation. Secondly, we discuss the recent political success of Pigouvian pricing, as evidenced by the German government's 2019 climate policy reform and the EU's Green Deal. We conclude by presenting a research agenda for addressing the remaining barriers that need to be overcome to make Pigouvian pricing a common political practice.
How assets get stranded
(2020)
Internalizing external costs of carbon is a fundamental goal of climate policy. Since the seminal work of Arthur Pigou in 1920, economic theory has analyzed the efficiency gains arising from various instruments that internalize externalities and lead to Pareto-improvements. It is widely recognized in environmental economics that a carbon price would effectively reflect the scarcity of the atmospheric disposal space for carbon depending on the temperature target that is to be achieved. The question of how to organize the transition process, i.e. moving from inefficient to efficient allocations, and implementing the necessary policies, has gained increasing attention in recent years. Arguably, the transition process is tightly interwoven with political processes that include complex interactions between societal stakeholders, such as households and firms, on the one hand, and political decision makers, on the other. Accordingly, understanding political-economy aspects of the transition process, including distributional outcomes, is becoming increasingly relevant. While a growing literature discusses the distributional implications of climate policy on households, it is less well understood how asset owners might be affected by climate policy and how these potential impacts would interact with the transition process. This Special Section focuses on public policy challenges related to this transition problem, with special emphasis on asset owners. A core theme is the special role of stranded assets, i.e. a devaluation of capital stocks or financial assets either by introducing a stringent carbon price or by omitting a pre-announced policy of this kind.
Research suggests a positive link between critical thinking and creativity. However, this relationship has not been measured in an empirical study. This study aims to explore whether critical thinking can serve to enhance creativity and whether creativity positively mediates the relationship between critical thinking and business performance. In this study, we analyse these relationships within the entrepreneurial context of a web-based business start-up simulation. We examined data from 26 teams of three to four senior business students and found partial support for our hypotheses. Critical thinking positively influenced creativity, measured as the total number of unique product designs. Creativity (unique product designs) also positively mediated the link between critical thinking and performance. This effect, however, did not exist when creativity was assessed through advertisement designs. This research contributes to entrepreneurship and innovation management by demonstrating the importance of critical thinking as a basis for creativity and testing this relationship in a business start-up simulation context.
There is a clear trend in Western democratic countries towards regularizing the status of long-term ethnic minority residents through the conferral of full and equal citizenship rights. Ethnic minorities who arrived as irregular or temporary migrants in the West are increasingly allowed to follow the immigrant path towards integration into the broader citizenry. This is largely due to recognition that the price of exclusion is not only unjust, but it increases the risk of racial tensions, criminality, and social violence. Investigating the relevance of these Western developments to Cambodia, this article focuses on Cambodia's ethnic Vietnamese minority. Despite residing in Cambodia for generations, ethnic Vietnamese have traditionally been regarded as 'foreign residents' and denied citizenship. Based on extensive field research, this article considers the history and reality of Cambodia's ethnic Vietnamese minority as well as the ethnically-exclusionary policies and practices of the state and Khmer majority towards them.
We employ a neoclassical growth model to assess the impact of financial liberalization in a developing country on capital owners' and workers' consumption and welfare. We find for an average non-OECD country that capital owners suffer a 42% reduction in permanent consumption because capital inflows reduce their return to capital while workers gain 8% of permanent consumption because capital inflows increase wages. These huge gross impacts contrast with the small positive net effect found in a neoclassical representative agent model by Gourinchas and Jeanne (2006). Our findings provide an estimate of the amount of redistribution needed to overcome capitalists' opposition to capital inflows.
Small and medium-sized enterprises (SME) contribute to innovation and economic growth, despite their resource shortages and lack of professional intellectual property (IP) management practices. Drawing on social practice theory and combining insights from recent scholarship on IP strategies and its management, this paper examines the cases of three pharmaceutical SME providing insights into how they appropriate returns on research and development (R&D) investments. It discusses their IP strategies and management practices, examining how the IP management practices are embedded in the firm's organisational structure. Moreover, this paper develops recommendations for SME regarding the professionalisation of their IP management practices.
Background: Cloud computing promises to essentially improve healthcare delivery performance. However, shifting sensitive medical records to third-party cloud providers could create an adoption hurdle because of security and privacy concerns. Methods: We empirically investigate our research question by a survey with over 260 full responses. For the setting with a high confidentiality assurance, we base on a recent multi-cloud architecture which provides very high confidentiality assurance through a secret-sharing mechanism: Health information is cryptographically encoded and distributed in a way that no single and no small group of cloud providers is able to decode it.
Background: Voice-controlled intelligent personal assistants (VIPAs), such as Amazon Echo and Google Home, involve artificial intelligence-powered algorithms designed to simulate humans. Their hands-free interface and growing capabilities have a wide range of applications in health care, covering off-clinic education, health monitoring, and communication. However, conflicting factors, such as patient safety and privacy concerns, make it difficult to foresee the further development of VIPAs in health care. <br /> Objective: This study aimed to develop a plausible scenario for the further development of VIPAs in health care to support decision making regarding the procurement of VIPAs in health care organizations. Methods: We conducted a two-stage Delphi study with an internationally recruited panel consisting of voice assistant experts, medical professionals, and representatives of academia, governmental health authorities, and nonprofit health associations having expertise with voice technology. Twenty projections were formulated and evaluated by the panelists. Descriptive statistics were used to derive the desired scenario. <br /> Results: The panelists expect VIPAs to be able to provide solid medical advice based on patients' personal health information and to have human-like conversations. However, in the short term, voice assistants might neither provide frustration-free user experience nor outperform or replace humans in health care. With a high level of consensus, the experts agreed with the potential of VIPAs to support elderly people and be widely used as anamnesis, informational, self-therapy, and communication tools by patients and health care professionals. Although users' and governments' privacy concerns are not expected to decrease in the near future, the panelists believe that strict regulations capable of preventing VIPAs from providing medical help services will not be imposed. <br /> Conclusions: According to the surveyed experts, VIPAs will show notable technological development and gain more user trust in the near future, resulting in widespread application in health care. However, voice assistants are expected to solely support health care professionals in their daily operations and will not be able to outperform or replace medical staff.
This paper presents in the first section a methodological introduction concerning statistics of consumer prices in Georgia. The second section gives a general idea of the development of consumer prices from January 1994 till September 1999. A detailed regional analysis is added in section 3. The fourth section analyses the development of consumer prices for the eight main groups included in the total CPI. Section 5 compares the changes in Georgian CPI with the movements of foreign exchange rates in Georgian Lari. This paper ends with a summary including a short outlook to the next years.
The German Banking System
(2013)
A new model that links visionary leadership with team performance is
postulated. It is proposed that leader prototypicality will negatively
moderate the effect of visionary leadership on team goal monitoring and performance. This model underlines that teams will compensate for the less prototypicality of a visionary leader by engaging in more goal monitoring, which is a process that is conducive to team performance. A field study included 60 teams, 180 individuals, and 60 team leaders was conducted in Egypt. Parameters were collected on the individual level.
Aggregation measures (rwg, ICC1 & ICC2) were acceptable and the averages were calculated for each team. The proposed three-factor model exhibited a reasonable fit to the data, χ2(130) = 259.93, p-value0.01; CFI = 0.90; and RMSEA = 0.13). The hypothesized negative moderation effect of leader prototypicality on the relationship between visionary leadership and team goal monitoring was statistically significant (-0.16; s.e.= 0.06; t = -3.13; p <0.01; 95% CI: -0.31, -0.07). Results showed a significant index of moderated mediation (-0.07; s.e.= 0.05; 95% CI: -0.20, -0.01). As predicted, the indirect effect of visionary leadership on team performance mediated by team goal monitoring was more strongly positive when leader prototypicality was low (b = 0.27; s.e.= 0.16; 95% CI: 0.04, 0.68), rather than high (b = 0.13; s.e.= 0.10; 95% CI: 0.01, 0.45). A proposal for extending the dimensions of identity-based leadership is discussed. This dissertation makes four significant contributions to theory and research on leadership. First, the main contribution of this research lies in showing that visionary leadership is more strongly positively related to team performance when leader prototypicality is low, rather than high. Second, this dissertation provides a contribution toward overcoming the fragmentation in the leadership literature by desegregating the literature on visionary leadership and leader-team prototypicality. Third, team goal monitoring as a mechanism that explains the interactive effects of visionary leadership and leader prototypicality on team performance was identified. Fourth, this study tests the postulated research model in Egypt, a culture that has in the past received scant attention.
Inequality of opportunity, particularly when overlaid with socioeconomic, ethnic, or cultural differences, may limit the scope of cooperation between individuals. A central question, then, is how to overcome such obstacles to cooperation. We study this question in the context of Germany, by asking whether the propensity of immigrant youth to cooperate with native peers was affected by a major integration reform: the introduction of birthright citizenship. Our unique setup exploits data from a large-scale lab-in-the-field experiment in a quasi-experimental evaluation framework. We find that the policy caused male, but not female, immigrants to significantly increase their cooperativeness toward natives. We show that the increase in out-group cooperation among immigrant boys is an outcome of more trust rather than a reflection of stronger other-regarding preferences towards natives. In exploring factors that may explain these behavioral effects, we present evidence that the policy also led to a near-closure of the educational achievement gap between young immigrant men and their native peers. Our results high -light that, through integration interventions, governments can modify prosocial behavior in a way that generates higher levels of efficiency in the interaction between social groups.
This article examines the effect of parental socialization and interest in politics on entering and staying in public service careers. We incorporate two related explanations, yet commonly used in different fields of literature, to explain public sector choice. First, following social learning theory, we hypothesize that parents serve as role models and thereby affect their children's sector choice. Additionally, we test the hypothesis that parental socialization leads to a longer stay in public sector jobs while assuming that it serves as a buffer against turnover. Second, following public service motivation process theory, we expect that 'interest in politics' is influenced by parental socialization and that this concept, in turn, leads to a public sector career. A representative set of longitudinal data from the Swiss household panel (1999-2014) was used to analyse these hypotheses (n = 2,933, N = 37,328). The results indicate that parental socialization serves as a stronger predictor of public sector choice than an interest in politics. Furthermore, people with parents working in the public sector tend to stay longer in their public sector jobs. Points for practitioners For practitioners, the results of this study are relevant as they highlight the limited usefulness of addressing job applicants' interest in politics in the recruitment process. Human resources managers who want to ensure a public-service-motivated workforce are therefore advised to focus on human resources activities that stimulate public service motivation after job entry. We also advise close interaction between universities and public organizations so that students develop a realistic picture of the government as a future employer and do not experience a 'reality shock' after job entry.
Recent debates in international relations increasingly focus on bureaucratic apparatuses of international organizations and highlight their role, influence, and autonomy in global public policy. In this contribution we follow the recent call made by Moloney and Rosenbloom in this journal to make use of “public administrative theory and empirically based knowledge in analyzing the behavior of international and regional organizations” and offer a systematic analysis of the inner structures of these administrative bodies. Changes in these structures can reflect both the (re-)assignment of responsibilities, competencies, and expertise, but also the (re)allocation of resources, staff, and corresponding signalling of priorities. Based on organizational charts, we study structural changes within 46 international bureaucracies in the UN system. Tracing formal changes to all internal units over two decades, this contribution provides the first longitudinal assessment of structural change at the international level. We demonstrate that the inner structures of international bureaucracies in the UN system became more fragmented over time but also experienced considerable volatility with periods of structural growth and retrenchment. The analysis also suggests that IO's political features yield stronger explanatory power for explaining these structural changes than bureaucratic determinants. We conclude that the politics of structural change in international bureaucracies is a missing piece in the current debate on international public administrations that complements existing research perspectives by reiterating the importance of the political context of international bureaucracies as actors in global governance.
Entrepreneurship is a regional and persistent phenomenon. We jointly investigate spatial dependence and serial dynamics of new business formation. Using panel data from all 402 German counties for 1996-2011, we estimate dynamic spatial panel data models of start-up activity in the high-tech and manufacturing industries. We consider regions of different sizes and systematically search for the most suitable spatial weights matrices. We find substantial spatial dependence as well as time persistence of start-up activity, especially in the high-tech industry. This suggests that local start-up activity has positive extemal effects and that entrepreneurship policy could play an efficiency-enhancing role.
Carbon dioxide removal (CDR) moves atmospheric carbon to geological or land-based sinks. In a first-best setting, the optimal use of CDR is achieved by a removal subsidy that equals the optimal carbon tax and marginal damages. We derive second-best policy rules for CDR subsidies and carbon taxes when no global carbon price exists but a national government implements a unilateral climate policy. We find that the optimal carbon tax differs from an optimal CDR subsidy because of carbon leakage and a balance of resource trade effect. First, the optimal removal subsidy tends to be larger than the carbon tax because of lower supply-side leakage on fossil resource markets. Second, net carbon exporters exacerbate this wedge to increase producer surplus of their carbon resource producers, implying even larger removal subsidies. Third, net carbon importers may set their removal subsidy even below their carbon tax when marginal environmental damages are small, to appropriate producer surplus from carbon exporters.
In this study, we contribute to the scholarly conversation on firm-level business model changes following a neoconfigurational approach. By exploring configurations of business model changes over time, we add the direction of business model changes-namely business model convergence or divergence-as a vital avenue to the business model innovation literature. We identify necessary business model convergence and divergence recipes in a sample of N = 217 strategic dyadic alliances. Firstly, technological proximity emerges as a single precondition to both converging and diverging business models. Secondly, business models between competitors either converge through complementarities or tend not to change relative to each other. Thirdly, equity participation enables business model divergence through co-specialization. We conclude with a discussion of business model trajectories and future research directions.
We investigate whether people are more willing to become self-employed during boom periods or during recessions and to what extent business cycles and unemployment levels influence entries into entrepreneurship. Our analysis for Germany reveals that there is a positive relationship between unemployment rates and start-up activities. Moreover, new business formation is higher during recessions than in boom periods, implying that it is counter-cyclical. When disentangling periods of low and high unemployment we find that the effect of unemployment on new business formation is only statistically significant if the level of unemployment is below the trend, indicating a "low unemployment retain effect".