@article{WardWenzSteckeletal.2018, author = {Ward, Hauke and Wenz, Leonie and Steckel, Jan Christoph and Minx, Jan Christoph}, title = {Truncation error estimates in process life cycle assessment using input-output analysis}, series = {Journal of Industrial Ecology}, volume = {22}, journal = {Journal of Industrial Ecology}, number = {5}, publisher = {Wiley}, address = {Hoboken}, issn = {1088-1980}, doi = {10.1111/jiec.12655}, pages = {1080 -- 1091}, year = {2018}, abstract = {Process life cycle assessment (PLCA) is widely used to quantify environmental flows associated with the manufacturing of products and other processes. As PLCA always depends on defining a system boundary, its application involves truncation errors. Different methods of estimating truncation errors are proposed in the literature; most of these are based on artificially constructed system complete counterfactuals. In this article, we review the literature on truncation errors and their estimates and systematically explore factors that influence truncation error estimates. We classify estimation approaches, together with underlying factors influencing estimation results according to where in the estimation procedure they occur. By contrasting different PLCA truncation/error modeling frameworks using the same underlying input-output (I-O) data set and varying cut-off criteria, we show that modeling choices can significantly influence estimates for PLCA truncation errors. In addition, we find that differences in I-O and process inventory databases, such as missing service sector activities, can significantly affect estimates of PLCA truncation errors. Our results expose the challenges related to explicit statements on the magnitude of PLCA truncation errors. They also indicate that increasing the strictness of cut-off criteria in PLCA has only limited influence on the resulting truncation errors. We conclude that applying an additional I-O life cycle assessment or a path exchange hybrid life cycle assessment to identify where significant contributions are located in upstream layers could significantly reduce PLCA truncation errors.}, 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{KotzLevermannWenz2022, author = {Kotz, Maximilian and Levermann, Anders and Wenz, Leonie}, title = {The effect of rainfall changes on economic production}, series = {Nature : the international journal of science}, volume = {601}, journal = {Nature : the international journal of science}, number = {7892}, publisher = {Macmillan Publishers Limited, part of Springer Nature}, address = {London}, issn = {0028-0836}, doi = {10.1038/s41586-021-04283-8}, pages = {223 -- 227}, year = {2022}, abstract = {Macro-economic assessments of climate impacts lack an analysis of the distribution of daily rainfall, which can resolve both complex societal impact channels and anthropogenically forced changes(1-6). Here, using a global panel of subnational economic output for 1,554 regions worldwide over the past 40 years, we show that economic growth rates are reduced by increases in the number of wet days and in extreme daily rainfall, in addition to responding nonlinearly to the total annual and to the standardized monthly deviations of rainfall. Furthermore, high-income nations and the services and manufacturing sectors are most strongly hindered by both measures of daily rainfall, complementing previous work that emphasized the beneficial effects of additional total annual rainfall in low-income, agriculturally dependent economies(4,7). By assessing the distribution of rainfall at multiple timescales and the effects on different sectors, we uncover channels through which climatic conditions can affect the economy. These results suggest that anthropogenic intensification of daily rainfall extremes(8-10) will have negative global economic consequences that require further assessment by those who wish to evaluate the costs of anthropogenic climate change.}, language = {en} } @article{UeckerdtFrielerLangeetal.2019, author = {Ueckerdt, Falko and Frieler, Katja and Lange, Stefan and Wenz, Leonie and Luderer, Gunnar and Levermann, Anders}, title = {The economically optimal warming limit of the planet}, series = {Earth system dynamics}, volume = {10}, journal = {Earth system dynamics}, number = {4}, publisher = {Copernicus}, address = {G{\"o}ttingen}, issn = {2190-4979}, doi = {10.5194/esd-10-741-2019}, pages = {741 -- 763}, year = {2019}, abstract = {Both climate-change damages and climate-change mitigation will incur economic costs. While the risk of severe damages increases with the level of global warming (Dell et al., 2014; IPCC, 2014b, 2018; Lenton et al., 2008), mitigating costs increase steeply with more stringent warming limits (IPCC, 2014a; Luderer et al., 2013; Rogelj et al., 2015). Here, we show that the global warming limit that minimizes this century's total economic costs of climate change lies between 1.9 and 2 ∘C, if temperature changes continue to impact national economic growth rates as observed in the past and if instantaneous growth effects are neither compensated nor amplified by additional growth effects in the following years. The result is robust across a wide range of normative assumptions on the valuation of future welfare and inequality aversion. We combine estimates of climate-change impacts on economic growth for 186 countries (applying an empirical damage function from Burke et al., 2015) with mitigation costs derived from a state-of-the-art energy-economy-climate model with a wide range of highly resolved mitigation options (Kriegler et al., 2017; Luderer et al., 2013, 2015). Our purely economic assessment, even though it omits non-market damages, provides support for the international Paris Agreement on climate change. The political goal of limiting global warming to "well below 2 degrees" is thus also an economically optimal goal given above assumptions on adaptation and damage persistence.}, language = {en} } @article{StechemesserLevermannWenz2022, author = {Stechemesser, Annika and Levermann, Anders and Wenz, Leonie}, title = {Temperature impacts on hate speech online: evidence from 4 billion geolocated tweets from the USA}, series = {The lancet. Planetary health}, volume = {6}, journal = {The lancet. Planetary health}, number = {9}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2542-5196}, doi = {10.1016/S2542-5196(22)00173-5}, pages = {E714 -- E725}, year = {2022}, abstract = {Background - A link between weather and aggression in the offline world has been established across a variety of societal settings. Simultaneously, the rapid digitalisation of nearly every aspect of everyday life has led to a high frequency of interpersonal conflicts online. Hate speech online has become a prevalent problem that has been shown to aggravate mental health conditions, especially among young people and marginalised groups. We examine the effect of temperature on the occurrence of hate speech on the social media platform Twitter and interpret the results in the context of the interlinkage between climate change, human behaviour, and mental health. Methods - In this quantitative empirical study, we used a supervised machine learning approach to identify hate speech in a dataset containing around 4 billion geolocated tweets from 773 cities across the USA between May 1, 2014 and May 1, 2020. We statistically evaluated the changes in daily hate tweets against changes in local temperature, isolating the temperature influence from confounding factors using binned panel-regression models. Findings - The prevalence of hate tweets was lowest at moderate temperatures (12 to 21?) and marked increases in the number of hate tweets were observed at hotter and colder temperatures, reaching up to 12middot5\% (95\% CI 8middot0-16middot5) for cold temperature extremes (-6 to -3?) and up to 22middot0\% (95\% CI 20middot5-23middot5) for hot temperature extremes (42 to 45?). Outside of the moderate temperature range, the hate tweets also increased as a proportion of total tweeting activity. The quasi-quadratic shape of the temperature-hate tweet curve was robust across varying climate zones, income quartiles, religious and political beliefs, and both city-level and state-level aggregations. However, temperature ranges with the lowest prevalence of hate tweets were centred around the local temperature mean and the magnitude of the increases in hate tweets for hot and cold temperatures varied across the climate zones. Interpretation - Our results highlight hate speech online as a potential channel through which temperature alters interpersonal conflict and societal aggression. We provide empirical evidence that hot and cold temperatures can aggravate aggressive tendencies online. The prevalence of the results across climatic and socioeconomic subgroups points to limitations in the ability of humans to adapt to temperature extremes.}, language = {en} } @article{WenzKalkuhlSteckeletal.2016, author = {Wenz, Leonie and Kalkuhl, Matthias and Steckel, Jan Christoph and Creutzig, Felix}, title = {Teleconnected food supply shocks}, series = {Environmental research letters}, volume = {11}, journal = {Environmental research letters}, publisher = {IOP Publ. Ltd.}, address = {Bristol}, issn = {1748-9326}, doi = {10.1088/1748-9326/11/3/035007}, pages = {10}, year = {2016}, abstract = {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.}, language = {en} } @article{WenzWillnerRadebachetal.2015, author = {Wenz, Leonie and Willner, Sven N. and Radebach, Alexander and Bierkandt, Robert and Steckel, Jan Christoph and Levermann, Anders}, title = {Regional and sectoral disaggregation of multi-regional input-output tables - a flexible algorithm}, series = {Economic systems research : journal of the International Input-Output Association}, volume = {27}, journal = {Economic systems research : journal of the International Input-Output Association}, number = {2}, publisher = {Routledge, Taylor \& Francis Group}, address = {Abingdon}, issn = {0953-5314}, doi = {10.1080/09535314.2014.987731}, pages = {194 -- 212}, year = {2015}, abstract = {A common shortcoming of available multi-regional input-output (MRIO) data sets is their lack of regional and sectoral detail required for many research questions (e.g. in the field of disaster impact analysis). We present a simple algorithm to refine MRIO tables regionally and/or sectorally. By the use of proxy data, each MRIO flow in question is disaggregated into the corresponding sub-flows. This downscaling procedure is complemented by an adjustment rule ensuring that the sub-flows match the superordinate flow in sum. The approximation improves along several iteration steps. The algorithm unfolds its strength through the flexible combination of multiple, possibly incomplete proxy data sources. It is also flexible in a sense that any target sector and region resolution can be chosen. As an exemplary case we apply the algorithm to a regional and sectoral refinement of the Eora MRIO database.}, language = {en} } @article{WenzLevermannWillneretal.2020, author = {Wenz, Leonie and Levermann, Anders and Willner, Sven N. and Otto, Christian and Kuhla, Kilian}, title = {Post-Brexit no-trade-deal scenario: short-term consumer benefit at the expense of long-term economic development}, series = {PLoS ONE}, volume = {15}, journal = {PLoS ONE}, number = {9}, publisher = {PLOS}, address = {San Francisco}, pages = {14}, year = {2020}, abstract = {After the United Kingdom has left the European Union it remains unclear whether the two parties can successfully negotiate and sign a trade agreement within the transition period. Ongoing negotiations, practical obstacles and resulting uncertainties make it highly unlikely that economic actors would be fully prepared to a "no-trade-deal" situation. Here we provide an economic shock simulation of the immediate aftermath of such a post-Brexit no-trade-deal scenario by computing the time evolution of more than 1.8 million interactions between more than 6,600 economic actors in the global trade network. We find an abrupt decline in the number of goods produced in the UK and the EU. This sudden output reduction is caused by drops in demand as customers on the respective other side of the Channel incorporate the new trade restriction into their decision-making. As a response, producers reduce prices in order to stimulate demand elsewhere. In the short term consumers benefit from lower prices but production value decreases with potentially severe socio-economic consequences in the longer term.}, language = {en} } @article{WenzLevermannAuffhammer2017, author = {Wenz, Leonie and Levermann, Anders and Auffhammer, Maximilian}, title = {North-south polarization of European electricity consumption under future warming}, series = {Proceedings of the National Academy of Sciences of the United States of America}, volume = {114}, journal = {Proceedings of the National Academy of Sciences of the United States of America}, publisher = {National Acad. of Sciences}, address = {Washington}, issn = {0027-8424}, doi = {10.1073/pnas.1704339114}, pages = {E7910 -- E7918}, year = {2017}, abstract = {There is growing empirical evidence that anthropogenic climate change will substantially affect the electric sector. Impacts will stem both from the supply sidethrough the mitigation of greenhouse gasesand from the demand sidethrough adaptive responses to a changing environment. Here we provide evidence of a polarization of both peak load and overall electricity consumption under future warming for the worlds third-largest electricity marketthe 35 countries of Europe. We statistically estimate country-level doseresponse functions between daily peak/total electricity load and ambient temperature for the period 2006-2012. After removing the impact of nontemperature confounders and normalizing the residual load data for each country, we estimate a common doseresponse function, which we use to compute national electricity loads for temperatures that lie outside each countrys currently observed temperature range. To this end, we impose end-of-century climate on todays European economies following three different greenhouse-gas concentration trajectories, ranging from ambitious climate-change mitigationin line with the Paris agreementto unabated climate change. We find significant increases in average daily peak load and overall electricity consumption in southern and western Europe (similar to 3 to similar to 7\% for Portugal and Spain) and significant decreases in northern Europe (similar to-6 to similar to-2\% for Sweden and Norway). While the projected effect on European total consumption is nearly zero, the significant polarization and seasonal shifts in peak demand and consumption have important ramifications for the location of costly peak-generating capacity, transmission infrastructure, and the design of energy-efficiency policy and storage capacity.}, language = {en} } @article{OttoWillnerWenzetal.2017, author = {Otto, Christian and Willner, Sven N. and Wenz, Leonie and Frieler, Katja and Levermann, Anders}, title = {Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate}, series = {Journal of economic dynamics \& control}, volume = {83}, journal = {Journal of economic dynamics \& control}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0165-1889}, doi = {10.1016/j.jedc.2017.08.001}, pages = {232 -- 269}, year = {2017}, abstract = {World markets are highly interlinked and local economies extensively rely on global supply and value chains. Consequently, local production disruptions, for instance caused by extreme weather events, are likely to induce indirect losses along supply chains with potentially global repercussions. These complex loss dynamics represent a challenge for comprehensive disaster risk assessments. Here, we introduce the numerical agent-based model acclimate designed to analyze the cascading of economic losses in the global supply network. Using national sectors as agents, we apply the model to study the global propagation of losses induced by stylized disasters. We find that indirect losses can become comparable in size to direct ones, but can be efficiently mitigated by warehousing and idle capacities. Consequently, a comprehensive risk assessment cannot focus solely on first-tier suppliers, but has to take the whole supply chain into account. To render the supply network climate-proof, national adaptation policies have to be complemented by international adaptation efforts. In that regard, our model can be employed to assess reasonable leverage points and to identify dynamic bottlenecks inaccessible to static analyses. (C) 2017 Elsevier B.V. All rights reserved.}, language = {en} }