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The history of concentrating solar power (CSP) is characterized by a boom-bust pattern caused by policy support changes. Following the 2014-2016 bust phase, the combination of Chinese support and several low-cost projects triggered a new boom phase. We investigate the near- to mid-term cost, industry, market and policy outlook for the global CSP sector and show that CSP costs have decreased strongly and approach cost-competitiveness with new conventional generation. Industry has been strengthened through the entry of numerous new companies. However, the project pipeline is thin: no project broke ground in 2019 and only four projects are under construction in 2020. The only remaining large support scheme, in China, has been canceled. Without additional support soon creating a new market, the value chain may collapse and recent cost and technological advances may be undone. If policy support is renewed, however, the global CSP sector is prepared for a bright future.
As presidents approach the end of their constitutionally defined term in office, they face a number of difficulties, most importantly the deprivation of sources of power, personal enrichment, and protection from prosecution. This leads many of them to attempt to circumvent their term limits. Recent studies explain both the reasons for the extension or full abolition of term limits, and failed attempts to do so. Key explanations include electoral competition and the post-term fate of previous post holders. What we do not know yet is how compliance with term limits may be tied to the current president's expectations for their post-term fate. In particular, we do not know whether leaders who attempt to remove term limits and fail to do so jeopardize their post-term career as a result, and conversely, whether leaders who comply will have better outcomes in terms of security, prestige, and economic gain. Hence, we ask how the decision of a leader to comply or not comply with term limits is conditioned by the expectation of their post-term fate. To address this question, this article introduces new data on the career trajectories of term-limited presidents and its systematic effect on term limit compliance.
In order to achieve the temperature goals of the Paris Agreement, the world must reach net-zero carbon emissions around mid-century, which calls for an entirely new energy system. Carbon pricing, in the shape of taxes or emissions trading schemes, is often seen as the main, or only, necessary climate policy instrument, based on theoretical expectations that this would promote innovation and diffusion of the new technologies necessary for full decarbonization. Here, we review the empirical knowledge available in academic ex-post analyses of the effectiveness of existing, comparatively high-price carbon pricing schemes in the European Union, New Zealand, British Columbia, and the Nordic countries. Some articles find short-term operational effects, especially fuel switching in existing assets, but no article finds mentionable effects on technological change. Critically, all articles examining the effects on zero-carbon investment found that existing carbon pricing scheme have had no effect at all. We conclude that the effectiveness of carbon pricing in stimulating innovation and zero-carbon investment remains a theoretical argument. So far, there is no empirical evidence of its effectiveness in promoting the technological change necessary for full decarbonization. This article is categorized under: Climate Economics > Economics of Mitigation
Faced with an accelerating climate crisis caused by burning fossil fuels we have to change the way the economy works. We can no longer go on with a system that just maximises private profit without consideration for its effects. Instead we have to conciously plan how to change to a fossil fuel free society.
The need is urgent.
The transformation will be vast.
Nothing similar has been done in the West since the days of wartime mobilisation.
This book explains the basic science of climate change before looking at the transformations needed to our energy and basic industries. It looks at the previous successful history of deliberate planning practiced in the UK from 1939 to the 1960s and how, using modern computing techniques it will be possible to organise resources so as to effect the change.
Friends or foes?
(2020)
Energy efficiency measures and the deployment of renewable energy are commonly presented as two sides of the same coin-as necessary and synergistic measures to decarbonize energy systems and reach the temperature goals of the Paris Agreement. Here, we quantitatively investigate the policies and performances of the EU Member States to see whether renewables and energy efficiency policies are politically synergistic or if they rather compete for political attention and resources. We find that Member States, especially the ones perceived as climate leaders, tend to prioritize renewables over energy efficiency in target setting. Further, almost every country performs well in either renewable energy or energy efficiency, but rarely performs well in both. We find no support for the assertion that the policies are synergistic, but some evidence that they compete. However, multi-linear regression models for performance show that performance, especially in energy efficiency, is also strongly associated with general economic growth cycles, and not only efficiency policy as such. We conclude that renewable energy and energy efficiency are not synergistic policies, and that there is some competition between them.
This paper examines and discusses the biases and pitfalls of retrospective survey questions that are currently being used in many medical, epidemiological, and sociological studies on the COVID-19 pandemic. By analyzing the consistency of answers to retrospective questions provided by respondents who participated in the first two waves of a survey on the social consequences of the COVID-19 pandemic, we illustrate the insights generated by a large body of survey research on the use of retrospective questions and recall accuracy.
Women's rights are a core part of a global consensus on human rights. However, we are currently experiencing an increasing popularity of anti-feminist and misogynist politics threatening to override feminist gains. In order to help explain this current revival and appeal, in this article I analyse how anti-feminist communities construct their collective identities at the intersection of local and global trends and affiliations. Through an in-depth analysis of representations in the collective identities of six popular online anti-feminist communities based in India, Russia and the United States, I shed light on how anti-feminists discursively construct their anti-feminist 'self' and the feminist 'other' between narratives of localized resistance to change and backlash against the results of broader societal developments associated with globalization. The results expose a complex set of global-local dynamics, which provide a nuanced understanding of the differences and commonalities of anti-feminist collective identity-building and mobilization processes across contexts. By explicitly focusing on the role of discursively produced locations for anti-feminist identity-building and providing new evidence on anti-feminist communities across three different continents, the article contributes to current discussions on transnational anti-feminist mobilizations in both social movement studies and feminist International Relations.
Whilst the Covid-19 pandemic affects all European countries, the ways in which these countries are prepared for the health and subsequent economic crisis varies considerably. Financial solidarity within the European Union (EU) could mitigate some of these inequalities but depends upon the support of the citizens of individual member states for such policies. This paper studies attitudes of the Austrian population - a net-contributor to the European budget - towards financial solidarity using two waves of the Austrian Corona Panel Project collected in May and June 2020. We find that individuals (i) who are less likely to consider the Covid-19 pandemic as a national economic threat, (ii) who believe that Austria benefits from supporting other countries, and (iii) who prefer the crisis to be organized more centrally at EU-level show higher support for European financial solidarity. Using fixed effects models, we further show that perceiving economic threats and preferring central crisis management also explain attitude dynamics within individuals over time. We conclude that cost-benefit perceptions are important determinants for individual support of European financial solidarity during the Covid-19 pandemic.
The recent debate on administrative bodies in international organizations has brought forward multiple theoretical perspectives, analytical frameworks, and methodological approaches. Despite these efforts to advance knowledge on these actors, the research program on international public administrations (IPAs) has missed out on two important opportunities: reflection on scholarship in international relations (IR) and public administration and synergies between these disciplinary perspectives. Against this backdrop, the essay is a discussion of the literature on IPAs in IR and public administration. We found influence, authority, and autonomy of international bureaucracies have been widely addressed and helped to better understand the agency of such non-state actors in global policy-making. Less attention has been given to the crucial macro-level context of politics for administrative bodies, despite the importance in IR and public administration scholarship. We propose a focus on agency and politics as future avenues for a comprehensive, joint research agenda for international bureaucracies.
In this paper, we show how socialist planning can be based on input-output data. We argue that the information required for this can be obtained by a central planning agency and thus dismiss Hayek’s information argument against socialism. We further show how economic planning can be made responsive to consumer demand through a feedback control mechanism. Output targets of products would be adjusted in response to observed consumer demand or based on predictions about future demand. Planners can use machine learning to make more accurate forecasts. The valuation of goods plays an important role in the feedback control mechanism. The values of goods can either be measured by the labour time necessary for their production (labour values) or through shadow prices based on linear programming.
Keeping up with the Patels
(2020)
End-users base their consumption decisions not only on available budget and direct use value, but also on their social environment. The underlying social dynamics are particularly important in the case of consumer goods that implicate high future energy demand and are, hence, also key for climate mitigation. This paper investigates the impact of social factors, with a focus on 'status perceptions', on car and appliance ownerships by urban India households. Using two rounds of the household-level data from the India Human Development Survey (IHDS, 2005 and 2012), we test for the impact of social factors in addition to economic, demographic, locational, and housing on ownership levels. Starting with factor analysis to categorise appliances by their latent characteristics, we then apply the bivariate ordered probit model to identify drivers of consumption among the urban households. We find that while income and household demographics are predominant drivers of car and appliance uptake, the household's perception of status, instrumented by a variable measuring expenditure on conspicuous consumption, emerges as a key social dimension influencing the uptake. The results indicate how households identify themselves in society influences their corresponding car and appliance consumption. A deeper understanding of status-based consumption is, therefore, essential to designing better demand-side solutions to low carbon consumption.
Moving Forces
(2017)
Throughout a large part of the twentieth century, the body was interpreted as a field of signs, the meaning of which pointed to an unconscious dimension. At the height of the popularity of structuralism, Jacques Lacan deemed the unconscious to be “structured like a language.” Starting in the early 1990s, however, a deep shift occurred in the way the body was interpreted. A new movement cast tremendous doubt on the hegemony of language and instead advocated a performative, pictorial, and affective approach — the so-called material turn — which encompassed all of these. In the words of Karen Barad, this turn inquired as to why meaning, history, and truth are assigned to language only, whereas the movements of materiality are given less prominence: “How did language come to be more trustworthy than matter? Why are language and culture granted their own agency and historicity while matter is figured as passive and immutable?” With this shift toward the material, bodies began to be seen in a different light and their materiality understood as something that follows its own laws and movements, which cannot be understood exclusively in terms of social-cultural codes. Instead, these laws and movements call into question the very dichotomies of nature/culture and body/spirit.
The design of embedded systems is becoming continuously more complex such that efficient system-level design methods are becoming crucial. Recently, combined Answer Set Programming (ASP) and Quantifier Free Integer Difference Logic (QF-IDL) solving has been shown to be a promising approach in system synthesis. However, this approach still has several restrictions limiting its applicability. In the paper at hand, we propose a novel ASP modulo Theories (ASPmT) system synthesis approach, which (i) supports more sophisticated system models, (ii) tightly integrates the QF-IDL solving into the ASP solving, and (iii) makes use of partial assignment checking. As a result, more realistic systems are considered and an early exclusion of infeasible solutions improves the entire system synthesis.
Becoming a Student of Reform
(2017)
Global Legitimacy Crises
(2022)
Global Legitimacy Crises addresses the consequences of legitimacy in global governance, in particular asking: when and how do legitimacy crises affect international organizations and their capacity to rule. The book starts with a new conceptualization of legitimacy crisis that looks at public challenges from a variety of actors. Based on this conceptualization, it applies a mixed-methods approach to identify and examine legitimacy crises, starting with a quantitative analysis of mass media data on challenges of a sample of 32 IOs. It shows that some, but not all organizations have experienced legitimacy crises, spread over several decades from 1985 to 2020. Following this, the book presents a qualitative study to further examine legitimacy crises of two selected case studies: the WTO and the UNFCCC. Whereas earlier research assumed that legitimacy crises have negative consequences, the book introduces a theoretical framework that privileges the activation inherent in a legitimacy crisis. It holds that this activation may not only harm an IO, but could also strengthen it, in terms of its material, institutional, and decision-making capacity. The following statistical analysis shows that whether a crisis has predominantly negative or positive effects depends on a variety of factors. These include the specific audience whose challenges define a certain crisis, and several institutional properties of the targeted organization. The ensuing in-depth analysis of the WTO and the UNFCCC further reveals how legitimacy crises and both positive and negative consequences are interlinked, and that effects of crises are sometimes even visible beyond the organizational borders.
“Broadcast your gender.”
(2022)
Social media platforms provide a large array of behavioral data relevant to social scientific research. However, key information such as sociodemographic characteristics of agents are often missing. This paper aims to compare four methods of classifying social attributes from text. Specifically, we are interested in estimating the gender of German social media creators. By using the example of a random sample of 200 YouTube channels, we compare several classification methods, namely (1) a survey among university staff, (2) a name dictionary method with the World Gender Name Dictionary as a reference list, (3) an algorithmic approach using the website gender-api.com, and (4) a Multinomial Naïve Bayes (MNB) machine learning technique. These different methods identify gender attributes based on YouTube channel names and descriptions in German but are adaptable to other languages. Our contribution will evaluate the share of identifiable channels, accuracy and meaningfulness of classification, as well as limits and benefits of each approach. We aim to address methodological challenges connected to classifying gender attributes for YouTube channels as well as related to reinforcing stereotypes and ethical implications.