@misc{HoelzleBoerBjoerk2020, author = {H{\"o}lzle, Katharina and Boer, Harry and Bj{\"o}rk, Jennie}, title = {Crisis management through creativity and innovation}, series = {Creativity and innovation management}, volume = {29}, journal = {Creativity and innovation management}, number = {2}, publisher = {Wiley-Blackwell}, address = {Oxford [u.a.]}, issn = {0963-1690}, doi = {10.1111/caim.12385}, pages = {195 -- 197}, year = {2020}, language = {en} } @misc{deHaasPaha2020, author = {de Haas, Samuel and Paha, Johannes}, title = {Non-controlling minority shareholdings and collusion}, series = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, journal = {Zweitver{\"o}ffentlichungen der Universit{\"a}t Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe}, number = {3}, issn = {1867-5808}, doi = {10.25932/publishup-59599}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-595993}, pages = {26}, year = {2020}, abstract = {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.}, language = {en} } @article{KalkuhlSteckelEdenhofer2020, author = {Kalkuhl, Matthias and Steckel, Jan Christoph and Edenhofer, Ottmar}, title = {All or nothing}, series = {Journal of environmental economics and management}, volume = {100}, journal = {Journal of environmental economics and management}, publisher = {Elsevier}, address = {San Diego}, issn = {0095-0696}, doi = {10.1016/j.jeem.2019.01.012}, pages = {21}, year = {2020}, abstract = {This paper develops a new perspective on stranded assets in climate policy using a partial equilibrium model of the energy sector. Political-economy related aspects are considered in the government's objective function. Lobbying power of firms or fiscal considerations by the government lead to time inconsistency: The government will deviate from a previously announced carbon tax which creates stranded assets. Under rational expectations, we show that a time-consistent policy outcome exists with either a zero carbon tax or a prohibitive carbon tax that leads to zero fossil investments - an "all-or-nothing" policy. Although stranded assets are crucial to such a bipolar outcome, they disappear again under time-consistent policy. Which of the two outcomes (all or nothing) prevails depends on the lobbying power of owners of fixed factors (land and fossil resources) but not on fiscal revenue considerations or on the lobbying power of renewable or fossil energy firms.}, language = {en} } @article{SedovaKalkuhlMendelsohn2020, author = {Sedova, Barbora and Kalkuhl, Matthias and Mendelsohn, Robert}, title = {Distributional impacts of weather and climate in rural India}, series = {Economics of disasters and climate change}, volume = {4}, journal = {Economics of disasters and climate change}, number = {1}, publisher = {Springer}, address = {Cham}, issn = {2511-1280}, doi = {10.1007/s41885-019-00051-1}, pages = {5 -- 44}, year = {2020}, abstract = {Climate-related costs and benefits may not be evenly distributed across the population. We study distributional implications of seasonal weather and climate on within-country inequality in rural India. Utilizing a first difference approach, we find that the poor are more sensitive to weather variations than the non-poor. The poor respond more strongly to (seasonal) temperature changes: negatively in the (warm) spring season, more positively in the (cold) rabi season. Less precipitation is harmful to the poor in the monsoon kharif season and beneficial in the winter and spring seasons. We show that adverse weather aggravates inequality by reducing consumption of the poor farming households. Future global warming predicted under RCP8.5 is likely to exacerbate these effects, reducing consumption of poor farming households by one third until the year 2100. We also find inequality in consumption across seasons with higher consumption during the harvest and lower consumption during the sowing seasons.}, language = {en} } @article{EdenhoferKalkuhlRequateetal.2020, author = {Edenhofer, Ottmar and Kalkuhl, Matthias and Requate, Tilman and Steckel, Jan Christoph}, title = {How assets get stranded}, series = {Journal of environmental economics and management}, volume = {100}, journal = {Journal of environmental economics and management}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0095-0696}, doi = {10.1016/j.jeem.2020.102300}, pages = {4}, year = {2020}, abstract = {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.}, language = {en} } @article{KalkuhlWenz2020, author = {Kalkuhl, Matthias and Wenz, Leonie}, title = {The impact of climate conditions on economic production}, series = {Journal of Environmental Economics and Management}, volume = {103}, journal = {Journal of Environmental Economics and Management}, publisher = {Elsevier}, address = {San Diego}, issn = {0095-0696}, doi = {10.1016/j.jeem.2020.102360}, pages = {20}, year = {2020}, abstract = {We present a novel data set of subnational economic output, Gross Regional Product (GRP), for more than 1500 regions in 77 countries that allows us to empirically estimate historic climate impacts at different time scales. Employing annual panel models, long-difference regressions and cross-sectional regressions, we identify effects on productivity levels and productivity growth. We do not find evidence for permanent growth rate impacts but we find robust evidence that temperature affects productivity levels considerably. An increase in global mean surface temperature by about 3.5°C until the end of the century would reduce global output by 7-14\% in 2100, with even higher damages in tropical and poor regions. Updating the DICE damage function with our estimates suggests that the social cost of carbon from temperature-induced productivity losses is on the order of 73-142\$/tCO2 in 2020, rising to 92-181\$/tCO2 in 2030. These numbers exclude non-market damages and damages from extreme weather events or sea-level rise.}, language = {en} } @article{PlonerHessGrumetal.2020, author = {Ploner, Tina and Hess, Steffen and Grum, Marcus and Drewe-Boss, Philipp and Walker, Jochen}, title = {Using gradient boosting with stability selection on health insurance claims data to identify disease trajectories in chronic obstructive pulmonary disease}, series = {Statistical methods in medical research}, volume = {29}, journal = {Statistical methods in medical research}, number = {12}, publisher = {Sage Publ.}, address = {London [u.a.]}, issn = {0962-2802}, doi = {10.1177/0962280220938088}, pages = {3684 -- 3694}, year = {2020}, abstract = {Objective We propose a data-driven method to detect temporal patterns of disease progression in high-dimensional claims data based on gradient boosting with stability selection. Materials and methods We identified patients with chronic obstructive pulmonary disease in a German health insurance claims database with 6.5 million individuals and divided them into a group of patients with the highest disease severity and a group of control patients with lower severity. We then used gradient boosting with stability selection to determine variables correlating with a chronic obstructive pulmonary disease diagnosis of highest severity and subsequently model the temporal progression of the disease using the selected variables. Results We identified a network of 20 diagnoses (e.g. respiratory failure), medications (e.g. anticholinergic drugs) and procedures associated with a subsequent chronic obstructive pulmonary disease diagnosis of highest severity. Furthermore, the network successfully captured temporal patterns, such as disease progressions from lower to higher severity grades. Discussion The temporal trajectories identified by our data-driven approach are compatible with existing knowledge about chronic obstructive pulmonary disease showing that the method can reliably select relevant variables in a high-dimensional context. Conclusion We provide a generalizable approach for the automatic detection of disease trajectories in claims data. This could help to diagnose diseases early, identify unknown risk factors and optimize treatment plans.}, language = {en} } @article{BorckSchrauth2020, author = {Borck, Rainald and Schrauth, Philipp}, title = {Population density and urban air quality}, series = {Regional science and urban economics}, volume = {86}, journal = {Regional science and urban economics}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0166-0462}, doi = {10.1016/j.regsciurbeco.2020.103596}, pages = {24}, year = {2020}, abstract = {We use panel data from Germany to analyze the effect of population density on urban air pollution (nitrogen oxides, particulate matter, ozone, and an aggregate index for bad air quality [AQI]). To address unobserved heterogeneity and omitted variables, we present long difference/fixed effects estimates and instrumental variables estimates, using historical population and soil quality as instruments. Using our preferred estimates, we find that the concentration increases with density for NO2 with an elasticity of 0.25 and particulate matter with elasticity of 0.08. The O-3 concentration decreases with density with an elasticity of -0.14. The AQI increases with density, with an elasticity of 0.11-0.13. We also present a variety of robustness tests. Overall, the paper shows that higher population density worsens local air quality.}, language = {en} } @article{KalkuhlSchwerhoffWaha2020, author = {Kalkuhl, Matthias and Schwerhoff, Gregor and Waha, Katharina}, title = {Land tenure, climate and risk management}, series = {Ecological economics}, volume = {171}, journal = {Ecological economics}, publisher = {Elsevier Science}, address = {Amsterdam [u.a.]}, issn = {0921-8009}, doi = {10.1016/j.ecolecon.2019.106573}, pages = {16}, year = {2020}, abstract = {We analyze to what extent climate conditions affect the prevalence of sharecropping as a form of traditional land tenure. We investigate how sharecropping tenure is related to climate risk and how it interacts with fertilizer use and livestock ownership that both influence production risk. We first develop a stylized theoretical model to illustrate the role of climate for land tenure and production. Our empirical analysis is based on more than 9000 households with considerable heterogeneity in climate conditions across several African countries. We find that farmers in areas with low precipitation are more likely to be sharecroppers. We further find evidence for risk management interaction effects as sharecropping farmers are less likely to own livestock and more likely to use fertilizer. In economies where formal kinds of insurance are unavailable, sharecropping thus functions as a form of insurance and reduces the need for potentially costly risk management strategies.}, language = {en} } @inproceedings{KoesterBaumannKrasnovaetal.2020, author = {K{\"o}ster, Antonia and Baumann, Annika and Krasnova, Hanna and Avital, Michel and Lyytinen, Kalle and Rossi, Matti}, title = {Panel 1: to share or not to share}, series = {Proceedings of the 28th European Conference on Information Systems (ECIS): ECIS 2020 Panels}, booktitle = {Proceedings of the 28th European Conference on Information Systems (ECIS): ECIS 2020 Panels}, publisher = {AIS Electronic Library (AISeL)}, address = {[Erscheinungsort nicht ermittelbar]}, year = {2020}, abstract = {Data sharing requires researchers to publish their (primary) data and any supporting research materials. With increased attention on reproducibility and more transparent research requiring sharing of data, the issues surrounding data sharing are moving beyond whether data sharing is beneficial, to what kind of research data should be shared and how. However, despite its benefits, data sharing still is not common practice in Information Systems (IS) research. The panel seeks to discuss the controversies related to data sharing in research, specifically focusing on the IS discipline. It remains unclear how the positive effects of data sharing that are often framed as extending beyond the individual researcher (e.g., openness for innovation) can be utilized while reducing the downsides often associated with negative consequences for the individual researcher (e.g., losing a competitive advantage). To foster data sharing practices in IS, the panel will address this dilemma by drawing on the panelists' expertise.}, language = {en} }