Person:
Rentschler, Jun
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Fields of Specialization
Economics of Development, Environment, and Climate
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Last updated
May 3, 2023
Biography
Jun Rentschler is a Senior Economist at the Office of the Chief Economist for Sustainable Development, working at the intersection of climate change and sustainable resilient development. Prior to joining The World Bank in 2012, he served as an Economic Adviser at the German Foreign Ministry. He also spent two years at the European Bank for Reconstruction and Development (EBRD) working on private sector investment projects in resource efficiency and climate change. Before that he worked on projects with Grameen Microfinance Bank in Bangladesh and the Partners for Financial Stability Program by USAID in Poland. He is a Visiting Fellow at the Payne Institute for Public Policy, following previous affiliations with the Oxford Institute for Energy Studies and the Graduate Institute for Policy Studies in Tokyo. Jun holds a PhD in Economics from University College London (UCL), specializing in development, climate, and energy.
Publication Search Results
1 - 10 of 14
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Publication
Air Pollution and Poverty: PM2.5 Exposure in 211 Countries and Territories
(World Bank, Washington, DC, 2022-04)Air pollution is one of the leading causes of death worldwide, especially affecting poorer people who tend to be more exposed and vulnerable. This study contributes (i) updated global exposure estimates for the World Health Organizations's 2021 revised fine particulate matter (PM2.5) thresholds, and (ii) estimates of the number of poor people exposed to unsafe PM2.5 concentrations. It shows that 7.28 billion people, or 94 percent of the world population, are directly exposed to unsafe average annual PM2.5 concentrations. Low- and middle-income countries account for 80 percent of people exposed to unsafe PM2.5 levels. Moreover, 716 million poor people (living on less than $1.90 per day) live in areas with unsafe air pollution. Around half of them are located in just three countries: India, Nigeria, and the Democratic Republic of Congo. Air pollution levels are particularly high in lower-middle-income countries, where economies tend to rely more heavily on polluting industries and technologies. The findings are based on high-resolution air pollution and population maps with global coverage, as well as subnational poverty estimates based on harmonized household surveys. -
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Infrastructure Disruptions: How Instability Breeds Household Vulnerability
(World Bank, Washington, DC, 2019-06)This review examines the literature on the welfare impacts of infrastructure disruptions. There is widespread evidence that households suffer from the consequences of a lack of infrastructure reliability, and that being connected to the grid is not sufficient to close the infrastructure gap. Disruptions and irregular service have adverse effects on household welfare, due to missed work and education opportunities, and negative impact on health. Calibrating costs of unreliable infrastructure on existing willingness to pay assessments, we estimate the welfare losses associated with blackouts and water outages. Overall, between 0.1 and 0.2 percent of GDP would be lost each year because of unreliable infrastructure -- electricity, water and transport. -
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The Impact of Flooding on Urban Transit and Accessibility: A Case Study of Kinshasa
(World Bank, Washington, DC, 2020-12)Transportation networks underpin socioeconomic development by enabling the movement of goods and people. However, little is known about how flooding disrupts transportation systems in urban areas in developing country cities, despite these natural disasters occurring frequently. This study documents the channels through which regular flooding in Kinshasa, the Democratic Republic of Congo, impacts transport services, commuters' ability to reach their jobs, and the associated economic opportunity costs from travel delays. This assessment is based on transit feed specification data sets collected specifically for this analysis under normal and flooded conditions. These data sets were combined with travel survey data containing travelers' socioeconomic attributes and trip parameters, as well as a high-resolution flood maps. The results show that (1) flood disruptions cause increases in public transit headways and transit re-routing, decreases in travel speeds, and thus travel time delays, which translate into substantial economic costs to local commuters; (2) accessibility to jobs decreases under flooded conditions, hindering the establishment of an integrated citywide labor market; (3) there are spatial clusters where some of the poorest commuters experience among the highest travel delays, highlighting socio-spatial equity aspects of floods; (4) certain road segments are critical for the transport network and should be prioritized for resilience measures; and (5) the estimated daily cost of flood disruption to commuters’ trips in Kinshasa is $1,166,000. The findings of this assessment provide disaster mitigation guidance to the Office des Voiries et Drainage under the Ministry of Infrastructure, as well as strategic investment recommendations to the Ministry of Housing and Planning. -
Publication
Resilient Shores: Vietnam’s Coastal Development Between Opportunity and Disaster Risk
(World Bank, Washington, DC, 2020-10-20)In a country that is among the most exposed to natural hazards, Vietnam’s coastline often bears the brunt. Typhoons, storm surges, riverine flooding, coastal erosion, droughts, or saline intrusion are all-too-familiar threats to most people living along the coast. Yet despite these risks, coastal regions host thriving economic sectors, providing livelihoods for a growing and rapidly urbanizing population. The coastal regions could be a powerful engine for Vietnam’s continued socioeconomic development, but rapid urbanization, economic growth, and climate change mean that disaster risks are bound to increase in the future. Although the government of Vietnam has made impressive progress in reducing and managing natural risks, current trends show that the work is far from complete. To guide effective action, this report provides an in-depth and multi-sectoral analysis of natural risks in coastal Vietnam and reviews current efforts in risk management, proposing a concrete action plan to balance the risks and opportunities of coastal development. These actions, if taken decisively, are an opportunity to strengthen the resilience of coastal communities and hence the prosperity of coming generations. -
Publication
People in Harm's Way: Flood Exposure and Poverty in 189 Countries
(World Bank, Washington, DC, 2020-10)Flooding is among the most prevalent natural hazards affecting people around the world. This study provides a global estimate of the number of people who face the risk of intense fluvial, pluvial, or coastal flooding. The findings suggest that 1.47 billion people, or 19 percent of the world population, are directly exposed to substantial risks during 1-in-100 year flood events. The majority of flood exposed people, about 1.36 billion, are located in South and East Asia; China (329 million) and India (225 million) account for over a third of global exposure. Of the 1.47 billion people who are exposed to flood risk, 89 percent live in low- and middle-income countries. Of the 132 million people who are estimated to live in both extreme poverty (under $1.9 per day) and in high flood risk areas, 55 percent are in Sub-Saharan Africa. About 587 million people face high flood risk, while living on less than $5.5 per day. These findings are based on high-resolution flood hazard and population maps that enable global coverage, as well as poverty estimates from the World Bank's Global Monitoring Database of harmonized household surveys. -
Publication
Rapid Urban Growth in Flood Zones: Global Evidence since 1985
(World Bank, Washington, DC, 2022-04)As countries rapidly urbanize, settlements are expanding into hazardous flood zones. This study provides a global analysis of spatial urbanization patterns and the evolution of flood exposure between 1985 and 2015. Using high-resolution annual data, it shows that settlements across the world grew by 85 percent to over 1.28 million square kilometers. In the same period, settlements exposed to the highest flood hazard level increased by 122 percent. In many regions, risky growth is outpacing safe growth, particularly in East Asia, where high-risk settlements have expanded 60 percent faster than safe ones. Developing countries are driving the recent growth of flood exposure: 36,500 square kilometers of settlements were built in the world’s highest-risk zones since 1985–82 percent of which are in low- and middle-income countries. In comparison, recent growth in high-income countries has been relatively slow and safe. These results document a divergence in countries’ exposure to flood hazards. Rather than adapting their exposure to climatic hazards, many countries are actively increasing their exposure. -
Publication
From A Rocky Road to Smooth Sailing: Building Transport Resilience to Natural Disasters
(World Bank, Washington, DC, 2019-06)Reliable transport infrastructure is one of the backbones of a prosperous economy, providingaccess to markets, jobs and social services. Sustainable Development Goal 9 (SDG9) calls forincreased access to sustainable transport infrastructure in low- and middle-income countries.Collectively, these countries will need to spend between 0.5 percent and 3.3 percent of their GDPannually (157 billion to 1 trillion US Dollars) in new transport infrastructure by 2030 – plus an additional 1 percent to 2 percent of GDP to maintain their network – depending on their ambition and their efficiency in service delivery (Rozenberg and Fay, 2019). Because of the wide spatial distribution of transport infrastructure, many transport assets are exposed and vulnerable to natural hazards, increasing costs for national transport agencies and operators. During the 2015 floods in Tbilisi, Georgia, the repair of transport assets contributed approximately 60 percent of the total damage cost (GFDRR, 2015). In the 1995 earthquake in Kobe, Japan, accessibility as measured by the length of open networks directly after the shock dropped by 86 percent for highways and by 71 percent for railways (Kazama and Noda, 2012b). Such transport disruptions necessarily have direct impacts on the local economy. Employees face difficulties commuting, access to firms is disrupted for clients, interruptions in the supply chain inhibit production, and finished products cannot be easily shipped (Kajitani and Tatano, 2014). The paper, prepared as background material for the Lifelines report on infrastructure resilience, summarizes the main findings on the risk faced by transport networks and users as a result of natural disasters and climate change, and the main recommendations for building more resilient transport networks. It starts by describing how transport disruptions affect firms and households either directly and through supply chains. It then proposes a range of approaches and solutions for building more resilient transport networks, showing that the additional cost of resilience is not high if resources are well spent. Finally, it provides a set of practical recommendations. -
Publication
Well Spent: How Governance Determines the Effectiveness of Infrastructure Investments
(World Bank, Washington, DC, 2019-06)This study explores the role of governance in improving infrastructure reliability. It estimates that increasing infrastructure spending and improving governance in parallel is six times more effective at enhancing transport system performance than increasing spending alone. It also estimates that under current fiscal budgeting, every $1 spent on infrastructure maintenance is as effective as $1.5 of new investments in many OECD economies. Overall, the evidence in this study demonstrates that it is the quality rather than the quantity of infrastructure spending that determines the quality of infrastructure services. -
Publication
Floods and Their Impacts on Firms: Evidence from Tanzania
(World Bank, Washington, DC, 2021-09)This study explores how businesses in Tanzania are impacted by floods, and which strategies they use to cope and adapt. These insights are based on firm survey data collected in 2018 using a tailored questionnaire, covering a sample of more than 800 firms. To assess the impact of disasters on businesses, the study considers direct damages and indirect effects through infrastructure systems, supply chains, and workers. While direct on-site damages from flooding can be substantial, they tend to affect a relatively small share of firms. Indirect impacts of floods are more prevalent and sizable. Flood-induced infrastructure disruptions—especially electricity and transport—obstruct the operations of firms even when they are not directly located in flood zones. The effects of such disruptions are further propagated and multiplied along supply chains. The study estimates that supply chain multipliers are responsible for 30 to 50 percent of all flood-related delivery delays. To cope with these impacts, firms apply a variety of strategies. Firms mitigate supply disruptions by adjusting the size and geographical reach of their supply networks, and by adjusting inventory holdings. By investing in costly backup capacity (such as water tanks and electricity generators), firms mitigate the impact of infrastructure disruptions. The study estimates that only 13 percent of firms receive government support in the aftermath of floods. -
Publication
Where Are All the Jobs ?: A Machine Learning Approach for High Resolution Urban Employment Prediction in Developing Countries
(World Bank, Washington, DC, 2022-03)Globally, both people and economic activity are increasingly concentrated in urban areas. Yet, for the vast majority of developing country cities, little is known about the granular spatial organization of such activity despite its key importance to policy and urban planning. This paper adapts a machine learning based algorithm to predict the spatial distribution of employment using input data from open access sources such as Open Street Map and Google Earth Engine. The algorithm is trained on 14 test cities, ranging from Buenos Aires in Argentina to Dakar in Senegal. A spatial adaptation of the random forest algorithm is used to predict within-city cells in the 14 test cities with extremely high accuracy (R- squared greater than 95 percent), and cells in out-of-sample ”unseen” cities with high accuracy (mean R-squared of 63 percent). This approach uses open data to produce high resolution estimates of the distribution of urban employment for cities where such information does not exist, making evidence-based planning more accessible than ever before.