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Russ, Jason

Office of the Chief Economist of the Sustainable Development Practice, The World Bank
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Fields of Specialization
Economics of Development, Environment, Water economics
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Last updated May 3, 2023
Biography
Jason Russ is a Senior Economist in the Office of the Chief Economist of the Sustainable Development Practice at the World Bank. His professional interests center on using econometrics and data analytics to diagnose development challenges, and quantify the economic and social impacts of environmental externalities. His tenure at the World Bank includes five years in the Water Global Practice where he helped to develop and coordinate the analytical work program of the Economics Global Solutions Group, including authoring many of its global flagship reports. He has authored numerous publications in academic journals largely related to environmental and development economics. Prior to joining the World Bank he was an analyst at PricewaterhouseCoopers. He holds a Ph.D. in Economics from George Washington University.
Citations 3 Scopus

Publication Search Results

Now showing 1 - 10 of 11
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    Framework for Conducting Benefit-Cost Analyses of Investments in Hydro-Meteorological Systems
    (World Bank, Washington, DC, 2014-06) Malik, Arun S. ; Amacher, Gregory S. ; Russ, Jason ; Esikuri, Enos E. ; Ashida Tao, Keiko
    The whitepaper is organized as follows: section two provides an overview of the types of benefits associated with hydromet investments, the process by which the benefits are generated, and their expected development impacts; section three explains the rationale for public sector investment in hydromet systems and involvement by the World Bank; section four discusses the wide range of factors that influence the magnitude of benefits generated by hydromet systems, in particular the value of weather and climate forecasts. The discussion is supplemented by a stylized example presented in annex one; section five provides an overview of approaches that have been used to estimate the value of improved forecasts of routine climate to specific user groups or sectors of an economy; section six then turns to an overview of approaches that have been used to estimate the net benefits of hydromet investments at the country level. The primary benefits estimated by these approaches are those associated with improved forecasts of extreme meteorological events; section seven contains a discussion of the costs of hydromet investments, with particular attention given to the challenges faced in estimating these costs in developing countries; section eight lays out a framework for estimating the expected net benefits of hydromet investments at a country level. The framework builds on existing approaches and is designed to be used with data available from secondary sources. This section will be of central interest to those tasked with conducting economic evaluations of hydromet investments; section nine describes data that can be collected to conduct interim and ex-post evaluations of hydromet investments that supplement and refine ex-ante evaluations of these investments; and section ten offers conclusions and recommendations.
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    Economic Boom or Ecologic Doom?: Using Spatial Analysis to Reconcile Road Development with Forest Conservation
    (Washington, DC: World Bank, 2016-05-20) Barra, Alvaro Federico ; Burnouf, Mathilde ; Damania, Richard ; Russ, Jason
    The natural endowment of the Democrat Republic of Congo, in the form of land, minerals, and forests, is unparalleled. The right mix of policies has the potential to unleash incentives that could transform the economy. However, transport infrastructure in the DRC is amongst the sparsest and most dilapidated in the world, and this lack of infrastructure is likely a significant constraint to growth. This work considerably advances the information that is available to infrastructure planners, and provides methodologies that could be used to make more informed decisions to identify trade-offs between economic growth and environmental endangerment. The approach draws from the state-of the art across a variety of disciplines – spatial (GIS) analysis, spatial econometrics, economic theory, and conservation biology – to create an approach that can guide the location and level of investments by estimating benefits and environmental costs at a highly disaggregated spatial scale. The analysis proceeds in four related phases that combine economic assessments with geospatial analysis. First transport costs are estimated using GIS techniques. A variety of econometric procedures are then used to determine the economic effects of changing transport costs. Second, highly disaggregated spatial data is used to estimate the effects of roads on forest cover, and the resulting biodiversity that would be at risk from local deforestation. Next the two spatial estimates are combined to simulate the effects of different policies. Finally this provides a series of maps that identify regions where there are large trade-offs between economic and ecological goals. Overall the results suggests that the siting of infrastructure needs to consider impacts at the very outset of the planning process. This report presents both new data and new techniques that can be used to identify areas of opportunity, risk, and potential for REDD+ financing. Such upstream planning has been rendered both feasible and cost effective with the availability of geo-referenced information on forest cover and economic data. This report provides the data and easily comprehensible maps for such an exercise.
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    Transport, Economic Growth, and Deforestation in the Democratic Republic of Congo: A Spatial Analysis
    (World Bank, Washington, DC, 2016-01-13) Damania, Richard ; Barra, Alvaro Federico ; Burnouf, Mathilde ; Russ, Jason Daniel
    The purpose of this study is to demonstrate several techniques which can be used to evaluate pathways to sustainable growth in the Democratic Republic of Congo (DRC) via infrastructure improvement. Decades of conflict and neglect have left the DRC’s transport infrastructure amongst the sparsest and most dilapidated in the world.
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    The Impact of Water Quality on GDP Growth: Evidence from Around the World
    (World Bank, Washington, DC, 2019-12-10) Desbureaux, Sebastien ; Damania, Richard ; Rodella, Aude-Sophie ; Russ, Jason ; Zaveri, Esha
    Declining water quality can impact the economy in various ways. Impacts can be found in the health sector, where labor productivity can be affected, in agriculture, where the quality and quantity of food produced can be reduced, and in tourism, real estate, aquaculture/fisheries and other sectors which rely on environmental quality and ecosystem services. Despite these well-known impacts, finding economy-wide affects of water quality on economic activity can be elusive. In this paper we attempt to fill this gap by using a conventional empirical approach in contemporary environmental economics and new data on economic activity and water quality for nineteen countries from 1990-2014. The authors find that when rivers become very heavily polluted, regions downstream see reductions in economic growth, losing between 0.8 and 2.0 percent of economic growth. These losses imply that in many places, the costs of environmental degradation are severely under-estimated and well above efficient levels.
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    The Nitrogen Legacy: The Long-Term Effects of Water Pollution on Human Capital
    (World Bank, Washington, DC, 2019-12-10) Zaveri, Esha ; Russ, Jason ; Desbureaux, Sebastien ; Damania, Richard ; Rodella, Aude-Sophie ; Ribeiro, Giovanna
    The fallout of nitrogen pollution is considered one of the largest global externalities facing the world, impacting air, water soil and human health. This paper presents new evidence that nitrogen pollution in water is an important determinant of variations in human capital. Data from the Demographic and Health Survey dataset across India, Vietnam, and 33 African countries are combined to analyze the causal links between pollution exposure experienced during the very earliest stages of life and later-life health. Results show that pollution exposure experienced in the critical years of development from the period of birth up until year three – is associated with decreased height as an adult, a well-known indicator of overall health and productivity, and is robust to several statistical checks. Because adult height is related to education, labor productivity, and income, this also implies a loss of earning potential. Results are consistent and show that early-life exposure to nitrogen pollution in water can lower height-for-age scores during childhood in Vietnam and during infancy in Africa. These findings add to the evidence on the enduring consequences of water pollution and identify a critical area for policy intervention.
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    Quality Unknown: The Invisible Water Crisis
    (Washington, DC: World Bank, 2019-08-20) Damania, Richard ; Desbureaux, Sébastien ; Rodella, Aude-Sophie ; Russ, Jason ; Zaveri, Esha
    Water quantity—too much in the case of floods, or too little in the case of droughts—grabs public attention and the media spotlight. Water quality—being predominantly invisible and hard to detect—goes largely unnoticed. Quality Unknown: The Invisible Water Crisis presents new evidence and new data that call urgent attention to the hidden dangers lying beneath water’s surface. It shows how poor water quality stalls economic progress, stymies human potential, and reduces food production. Quality Unknown examines the effects of water quality on economic growth and finds upstream pollution lowers growth in downstream regions. It reveals that some of the most ubiquitous contaminants in water, such as nitrates and salt, have impacts that are larger, deeper, and wider than has been acknowledged. And it traces the damage to crop yields and the stark implications for food security in affected regions. An important step toward tackling the world’s water quality challenge is recognizing its scale. The world needs reliable, accurate, and comprehensive information so that policy makers can have new insights, decision making can be evidence based, and citizens can call for action. The report calls for a paradigm shift that emphasizes safer, and often more cost-effective remedies that prevent pollution by combining smarter policies with newer technologies. A key message of Quality Unknown is that such solutions exist and change is possible.
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    The Nitrogen Legacy: The Long-Term Effects of Water Pollution on Human Capital
    (World Bank, Washington, DC, 2020-02) Zaveri, Esha ; Russ, Jason ; Desbureaux, Sebastien ; Damania, Richard ; Rodella, Aude-Sophie ; Ribeiro, Giovanna
    The fallout of nitrogen pollution is considered one of the largest global externalities facing the world, impacting air, water, soil, and human health. This paper combines data from the Demographic and Health Survey data set across India, Vietnam, and 33 African countries to analyze the causal links between pollution exposure experienced during the very earliest stages of life and later-life health. The results show that pollution exposure experienced in the critical years of development—from birth until age three—is associated with decreased height as an adult, a well-known indicator of overall health and productivity, and is robust to several statistical checks. Because adult height is related to education, labor productivity, and income, this also implies a loss of earning potential. The analysis begins within an assessment in India, where the data are more available, and is then extended to geographic settings including Vietnam and 33 countries in Africa. The results are consistent and show that early-life exposure to nitrogen pollution in water can lower height-for-age scores during childhood in Vietnam and during infancy in Africa. These findings add to the evidence on the enduring consequences of water pollution and identify a critical area for policy intervention.
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    Putting the Green Back in Greenbacks: Opportunities for a Truly Green Stimulus
    (World Bank, Washington, DC, 2021-07) Taheripour, Farzad ; Chepeliev, Maksym ; Damania, Richard ; Farole, Thomas ; Lozano Gracia, Nancy ; Russ, Jason Daniel
    Can countries reorient their productive capacity to become more environmentally friendly and inclusive? To investigate this question, this paper uses a standard input-output modeling framework and data from 141 countries and regions to construct a new global data set of employment, value-added, greenhouse gas emissions (disaggregated into carbon dioxide and non-carbon dioxide elements), and air pollution (including nine categories of air pollutants such as fine particulate matter multipliers from supply-side investments. The analysis finds that many of the traditional sectors in agriculture and industry have large employment multipliers, but also generate male dominant, lower skill employment, and tend to have higher emissions multipliers. It is in economies dominated by these sectors that trade-offs to a “greener” transition will emerge most sharply. However, the analysis finds substantial heterogeneity in outcomes, so even in these economies, there exist other sectors with high employment multipliers and low emissions, including sectors that are more conducive to female employment. In addition, the analysis finds a high correlation between industries that generate greenhouse gas emissions, which cause long-term climate impacts, and those that generate air pollution, which have immediate harmful impacts on human health, suggesting that policies could be designed to confer longer climate benefits simultaneously with immediate health improvements. The results confirm some of the findings from recent research and shed new light on opportunities for greening economies.
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    Uncharted Waters: The New Economics of Water Scarcity and Variability
    (World Bank, Washington, DC, 2017-10-24) Damania, Richard ; Desbureaux, Sébastien ; Hyland, Marie ; Islam, Asif ; Moore, Scott ; Rodella, Aude-Sophie ; Russ, Jason ; Zaveri, Esha
    The 21st century will witness the collision of two powerful forces – burgeoning population growth, together with a changing climate. With population growth, water scarcity will proliferate to new areas across the globe. And with climate change, rainfall will become more fickle, with longer and deeper periods of droughts and deluges. This report presents new evidence to advance understanding on how rainfall shocks coupled with water scarcity, impacts farms, firms, and families. On farms, the largest consumers of water in the world, impacts are channeled from declining yields to changing landscapes. In cities, water extremes especially when combined with unreliable infrastructure can stall firm production, sales, and revenue. At the center of this are families, who feel the impacts of this uncertainty on their incomes, jobs, and long-term health and welfare. Although a rainfall shock may be fleeting, its consequences can become permanent and shape the destiny of those who experience it. Pursuing business as usual will lead many countries down a “parched path” where droughts shape destinies. Avoiding this misery in slow motion will call for fundamental changes to water policy around the globe. Building resilience to rainfall variability will require using different policy instruments to address the multifaceted nature of water. A key message of this report is that water has multiple economic attributes, each of which entail distinct policy responses. If water is not managed more prudently—from source, to tap, and back to source—the crises observed today will become the catastrophes of tomorrow.
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    Salt of the Earth: Quantifying the Impact of Water Salinity on Global Agricultural Productivity
    (World Bank, Washington, DC, 2020-02) Russ, Jason ; Zaveri, Esha ; Damania, Richard ; Desbureaux, Sebastien ; Escurra, Jorge ; Rodella, Aude-Sophie
    Salinity in surface waters is on the rise throughout much of the world. Many factors contribute to this change, including increased water extraction, poor irrigation management, and sea-level rise. To date no study has attempted to quantify the impacts on global food production. This paper develops a plausibly causal model to test the sensitivity of global and regional agricultural productivity to changes in water salinity. To do so, it utilizes several local and global data sets on water quality and agricultural productivity and a model that isolates the impact of exogenous changes in water salinity on yields. The analysis trains a machine-learning model to predict salinity globally, to simulate average global food losses over 2000-13. These losses are found to be high, in the range of the equivalent of 124 trillion kilocalories, or enough to feed more than 170 million people every day, each year. Global maps building on these results show that pockets of high losses occur on all continents, but the losses can be expected to be particularly problematic in regions already experiencing malnutrition challenges.