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The substantial booms and busts in agricultural prices marked by extreme events across commodities lead to heated debates about the effects of speculative trading on commodity price fluctuations. This study proposes a new approach to understanding extreme events and boom-bust processes in agricultural markets. Using weekly futures data for twelve indexed agricultural commodities during 2006 to 2016, we find that extreme price changes, located in the 10% tails of the distribution, cluster across agricultural markets. We then implement a multinomial logit model to investigate which factors are associated with the propagation of extreme events. Specifically, we disentangle three transmission conduits. (1) The macroeconomic conduit captures the possibility that the synchronized extreme price events are generated by business-cycle driven demand shifts mainly in emerging economies. (2) The financial conduit refers to potential links between extreme returns and the increasing flow of money from financial participants into agricultural futures markets. (3) Finally, the energy conduit accounts for possible spillover effects due to oil price shocks. Our results indicate an important role of managed money positions and oil prices while the real demand channel remains mostly insignificant. (C) 2017 Elsevier Ltd. All rights reserved.
The crises of both the climate and the biosphere are manifestations of the imbalance between human extractive, and polluting activities and the Earth’s regenerative capacity. Planetary boundaries define limits for biophysical systems and processes that regulate the stability and life support capacity of the Earth system, and thereby also define a safe operating space for humanity on Earth. Budgets associated to planetary boundaries can be understood as global commons: common pool resources that can be utilized within finite limits. Despite the analytical interpretation of planetary boundaries as global commons, the planetary boundaries framework is missing a thorough integration into economic theory. We aim to bridge the gap between welfare economic theory and planetary boundaries as derived in the natural sciences by presenting a unified theory of cost-benefit and cost-effectiveness analysis. Our pragmatic approach aims to overcome shortcomings of the practical applications of CEA and CBA to environmental problems of a planetary scale. To do so, we develop a model framework and explore decision paradigms that give guidance to setting limits on human activities. This conceptual framework is then applied to planetary boundaries. We conclude by using the realized insights to derive a research agenda that builds on the understanding of planetary boundaries as global commons.
All or nothing
(2020)
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.
Beyond good faith
(2021)
The ambitious climate targets set by industrialized nations worldwide cannot be met without decarbonizing the building stock. Using Germany as a case study, this paper takes stock of the extensive set of energy efficiency policies that are already in place and clarifies that they have been designed “in good faith” but lack in overall effectiveness as well as cost-efficiency in achieving these climate targets. We map out the market failures and behavioural considerations that are potential reasons for why realized energy savings fall below expectations and why the household adoption of energy-efficient and low-carbon technologies has remained low. We highlight the pressing need for data and modern empirical research to develop targeted and cost-effective policies seeking to correct these market failures. To this end, we identify some key research questions and identify gaps in the data required for evidence-based policy.
Economists argue that land rent taxation is an ideal form of taxation as it causes no deadweight losses. Nevertheless, pure land rent taxation is rarely applied. This paper revisits the case of land taxation for developing countries. We first provide an up-to-date review on land taxation in development countries, including feasibility and implementation challenges. We then simulate land tax reforms for Rwanda, Peru, Nicaragua and Indonesia, based on household surveys. We find that (i) land taxes provide a substantial untapped potential for tax revenues at minimal deadweight losses; that (ii) linear land value taxes tend to put a high relative burden on poor households as land ownership is pervasive; (iii) non-linear tax schemes could avoid adverse effects on the poor; and that (iv) with technological advances, administrative costs of land taxes have reduced substantially and are outweighed by tax revenues and co-benefits of formalized land tenure. Enforcement and compliance remain, however, a key challenge.
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.
Elevated annual average temperature has been found to impact macro-economic growth. However, various fundamental elements of the economy are affected by deviations of daily temperature from seasonal expectations which are not well reflected in annual averages. Here we show that increases in seasonally adjusted day-to-day temperature variability reduce macro-economic growth independent of and in addition to changes in annual average temperature. Combining observed day-to-day temperature variability with subnational economic data for 1,537 regions worldwide over 40 years in fixed-effects panel models, we find that an extra degree of variability results in a five percentage-point reduction in regional growth rates on average. The impact of day-to-day variability is modulated by seasonal temperature difference and income, resulting in highest vulnerability in low-latitude, low-income regions (12 percentage-point reduction). These findings illuminate a new, global-impact channel in the climate–economy relationship that demands a more comprehensive assessment in both climate and integrated assessment models.
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.
Climate change entails an intensification of extreme weather events that can potentially trigger socioeconomic and energy system disruptions. As we approach 1 degrees C of global warming we should start learning from historical extremes and explicitly incorporate such events in integrated climate-economy and energy systems models.
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.
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.
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.
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.
Price shock transmission
(2017)
This study assesses the degree of vertical price transmission along the wheat-bread value chain in Ethiopia. This is pursued by applying a vector error correction model and an impulse response analysis using monthly price data for the period 2000-2015. Our analysis considers transmission of price shocks across different market levels, including from the international and domestic wheat grain markets at the upstream to the domestic wheat bread market at the downstream of the value chain. The empirical findings indicate that significant cointegration exists across prices of the different market stages. There is a transmission from international prices to domestic prices at downstream markets, in particular to flour and bread prices. Prices at upstream markets are largely influenced by the domestic wholesale market. In general, the speed of adjustment is quite slow with a half-life of about one year for restoring the equilibrium price relationship. As price margins between the different market stages in the value chain have substantially decreased in the last 15 years, higher transmission, and thus exposure to international market shocks, can be expected in the future. The results also show that causal relationships exist between prices at different market stageswith the wholesale market identified as the key market level where prices and price expectations are formed.
Ramsey meets Thünen
(2016)
Land taxes can increase production in the manufacturing sector and enhance land conservation at the same time, which can lead to overall macroeconomic growth. Existing research emphasizes the non-distorting properties of land taxes (when fixed factors are taxed) as well as growth-enhancing impacts (when asset portfolios are shifted to reproducible capital). This paper furthers the neoclassical perspective on land taxes by endogenizing land allocation decisions in a multi-sector growth model. Based on von Thünen’s observation, agricultural land is created from wilderness through conversion and cultivation, both of which are associated with costs. In the steady state of our general equilibrium model, land taxes not only may reduce land consumption (associated with environmental benefits) but may also affect overall economic output, while leaving wages and interest rates unaffected. When labor productivity is higher in the manufacturing than in the agricultural sector and agricultural and manufactured goods are substitutes (or the economy is open to world trade), land taxes increase aggregate economic output. There is a complex interplay of conservation policy, technological change and land taxes, depending on consumer preferences, sectoral labor productivities and openness-to-trade. Our model introduces a new perspective on land taxes in current policy debates on development, tax reforms as well as forest conservation.
The 2008-2010 food crisis might have been a harbinger of fundamental climate-induced food crises with geopolitical implications. Heat-wave-induced yield losses in Russia and resulting export restrictions led to increases in market prices for wheat across the Middle East, likely contributing to the Arab Spring. With ongoing climate change, temperatures and temperature variability will rise, leading to higher uncertainty in yields for major nutritional crops. Here we investigate which countries are most vulnerable to teleconnected supply-shocks, i.e. where diets strongly rely on the import of wheat, maize, or rice, and where a large share of the population is living in poverty. We find that the Middle East is most sensitive to teleconnected supply shocks in wheat, Central America to supply shocks in maize, and Western Africa to supply shocks in rice. Weighing with poverty levels, Sub-Saharan Africa is most affected. Altogether, a simultaneous 10% reduction in exports of wheat, rice, and maize would reduce caloric intake of 55 million people living in poverty by about 5%. Export bans in major producing regions would put up to 200 million people below the poverty line at risk, 90% of which live in Sub-Saharan Africa. Our results suggest that a region-specific combination of national increases in agricultural productivity and diversification of trade partners and diets can effectively decrease future food security risks.
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.
We examine the relationship between different types of power investments and regional economic dynamics. We construct a novel panel dataset combining data on regional GDP and power capacity additions for different technologies between 1960 and 2015, which covers 65% of the global power capacity that has been installed in this period. We use an event study design to identify the effect of power capacity addition on GDP per capita, exploiting the fact that the exact amount of power capacity coming online each year is determined by random construction delays. We find evidence that GDP per capita increases by 0.2% in the 6 years around the coming online of 100 MW coal-fired power capacity. We find similar effects for hydropower capacity, but not for any other type of power capacity. The positive effects are regionally bounded and stronger for projects on new sites (green-field). The magnitude of this effect might not be comparable to the total external costs of building new coal-fired power capacity, yet our results help to explain why policymakers favor coal investments for spurring regional growth.
In this paper, we move from the large strand of research that looks at evidence of climate migration to the questions: who are the climate migrants? and where do they go? These questions are crucial to design policies that mitigate welfare losses of migration choices due to climate change. We study the direct and heterogeneous associations between weather extremes and migration in rural India. We combine ERAS reanalysis data with the India Human Development Survey household panel and conduct regression analyses by applying linear probability and multinomial logit models. This enables us to establish a causal relationship between temperature and precipitation anomalies and overall migration as well as migration by destination. We show that adverse weather shocks decrease rural-rural and international migration and push people into cities in different, presumably more prosperous states. A series of positive weather shocks, however, facilitates international migration and migration to cities within the same state. Further, our results indicate that in contrast to other migrants, climate migrants are likely to be from the lower end of the skill distribution and from households strongly dependent on agricultural production. We estimate that approximately 8% of all rural-urban moves between 2005 and 2012 can be attributed to weather. This figure might increase as a consequence of climate change. Thus, a key policy recommendation is to take steps to facilitate integration of less educated migrants into the urban labor market.