TY - JOUR A1 - Šedová, Barbora A1 - Kalkuhl, Matthias T1 - Who are the climate migrants and where do they go? BT - Evidence from rural India JF - World development N2 - 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. KW - climate change KW - migration KW - household analysis KW - India KW - econometrics Y1 - 2020 U6 - https://doi.org/10.1016/j.worlddev.2019.104848 SN - 0305-750X SN - 1873-5991 VL - 129 PB - Elsevier Science CY - Amsterdam ER - TY - JOUR A1 - Wenz, Leonie A1 - Kalkuhl, Matthias A1 - Steckel, Jan Christoph A1 - Creutzig, Felix T1 - Teleconnected food supply shocks JF - Environmental research letters N2 - 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. KW - food security KW - trade shocks KW - vulnerability KW - climate change KW - teleconnections Y1 - 2016 U6 - https://doi.org/10.1088/1748-9326/11/3/035007 SN - 1748-9326 VL - 11 PB - IOP Publ. Ltd. CY - Bristol ER - TY - JOUR A1 - Sureth, Michael A1 - Kalkuhl, Matthias A1 - Edenhofer, Ottmar A1 - Rockström, Johan T1 - A welfare economic approach to planetary boundaries JF - Jahrbücher für Nationalökonomie und Statistik N2 - 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. KW - cost-benefit analysis KW - cost-effectiveness analysis KW - global commons KW - planetary boundaries KW - precautionary principle KW - shadow price KW - uncertainty KW - welfare economics Y1 - 2023 U6 - https://doi.org/10.1515/jbnst-2022-0022 SN - 0021-4027 SN - 2366-049X VL - 243 IS - 5 SP - 477 EP - 542 PB - De Gruyter Oldenbourg CY - Berlin ER - TY - RPRT A1 - Steckel, Jan Christoph A1 - Missbach, Leonard A1 - Ohlendorf, Nils A1 - Feindt, Simon A1 - Kalkuhl, Matthias T1 - Effects of the energy price crisis on European households BT - socio-political challenges and policy options Y1 - 2022 UR - https://www.mcc-berlin.net/fileadmin/data/C18_MCC_Publications/2022_MCC_Effects_of_the_energy_price_crisis_on_European_households.pdf PB - Mercator Research Institute on Global Commons and Climate Change (MCC) gGmbH CY - Berlin ER - TY - JOUR A1 - Singhal, Puja A1 - Pahle, Michael A1 - Kalkuhl, Matthias A1 - Sommer, Stephan A1 - Levesque, Antoine A1 - Berneiser, Jessica T1 - Beyond good faith BT - why evidence-based policy is necessary to decarbonize buildings cost-effectively JF - SSRN eLibrary / Social Science Research Network N2 - 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. KW - energy efficiency KW - decarbonization KW - housing sector KW - heat demand KW - evidence-based policy Y1 - 2021 U6 - https://doi.org/10.2139/ssrn.3947800 SN - 1556-5068 PB - SSRN - Elsevier CY - Rochester, NY ER - TY - JOUR A1 - Sedova, Barbora A1 - Kalkuhl, Matthias A1 - Mendelsohn, Robert T1 - Distributional impacts of weather and climate in rural India JF - Economics of disasters and climate change N2 - 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. KW - climate change KW - weather KW - inequality KW - household analysis KW - India KW - econometrics Y1 - 2019 U6 - https://doi.org/10.1007/s41885-019-00051-1 SN - 2511-1280 SN - 2511-1299 VL - 4 IS - 1 SP - 5 EP - 44 PB - Springer CY - Cham ER - TY - GEN A1 - Otto, Christian A1 - Piontek, Franziska A1 - Kalkuhl, Matthias A1 - Frieler, Katja T1 - Event-based models to understand the scale of the impact of extremes T2 - Nature energy N2 - 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. KW - Climate-change impacts KW - Energy economics KW - Socioeconomic scenarios Y1 - 2020 U6 - https://doi.org/10.1038/s41560-020-0562-4 SN - 2058-7546 VL - 5 IS - 2 SP - 111 EP - 114 PB - Nature Publishing Group CY - London ER - TY - JOUR A1 - Montrone, Lorenzo A1 - Steckel, Jan Christoph A1 - Kalkuhl, Matthias T1 - The type of power capacity matters for economic development BT - evidence from a global panel JF - Resource and energy economics N2 - 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. KW - Energy and development KW - Economic growth KW - Public infrastructure KW - Public investments KW - Electricity sector Y1 - 2022 U6 - https://doi.org/10.1016/j.reseneeco.2022.101313 SN - 0928-7655 VL - 69 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Kotz, Maximilian A1 - Wenz, Leonie A1 - Stechemesser, Annika A1 - Kalkuhl, Matthias A1 - Levermann, Anders T1 - Day-to-day temperature variability reduces economic growth JF - Nature climate change N2 - 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. KW - Climate change KW - Climate-change impacts KW - Economics KW - Environmental economics KW - Environmental impact Y1 - 2021 U6 - https://doi.org/10.1038/s41558-020-00985-5 SN - 1758-678X SN - 1758-6798 VL - 11 IS - 4 SP - 319 EP - 325 PB - Nature Publishing Group CY - London ER - TY - RPRT A1 - Kellner, Maximilian A1 - Amberg, Maximilian A1 - Bergmann, Tobias A1 - Roolfs, Christina A1 - Kalkuhl, Matthias T1 - Entlastungspakete für Energiepreisanstiege BT - Auswirkungen und Nachbesserungsbedarf Y1 - 2022 UR - https://www.mcc-berlin.net/fileadmin/user_upload/Kalkuhl/2022_MCC_Entlastungspakete_fuer_Energiepreisanstiege_.pdf U6 - https://doi.org/10.5281/zenodo.6617130 PB - Mercator Research Institute on Global Commons and Climate Change (MCC) gGmbH CY - Berlin ER -