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Russ, Jason

Office of the Chief Economist of the Sustainable Development Practice, The World Bank
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Economics of Development, Environment, Water economics
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0000-0003-4967-1983
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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.
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2010 - 20192
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Region: Africa × Country: Congo, Democratic Republic of ×

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Now showing 1 - 2 of 2
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    Infrastructure in Conflict-Prone and Fragile Environments: Evidence from the Democratic Republic of Congo
    (World Bank, Washington, DC, 2015-05) Ali, Rubaba; Barra, A. Federico; Berg, Claudia N.; Damania, Richard; Nash, John D.; Russ, Jason; Russ, Jason
    In conflict-prone situations, access to markets is necessary to restore economic growth and generate the preconditions for peace and reconstruction. Hence, the rehabilitation of damaged transport infrastructure has emerged as an overarching investment priority among donors and governments. This paper brings together two distinct strands of literature on the effects of conflict on welfare and on the economic impact of transport infrastructure. The theoretical model explores how transport infrastructure affects conflict incidence and welfare when selection into rebel groups is endogenous. The implications of the model are tested with data from the Democratic Republic of Congo. The analysis addresses the problems of the endogeneity of transport costs and conflict using a novel set of instrumental variables. For transport costs, a new instrument is developed, the natural-historical path, which measures the most efficient travel route to a market, taking into account topography, land cover, and historical caravan routes. Recognizing the imprecision in measuring the geographic impacts of conflict, the analysis develops a spatial kernel density function to proxy for the incidence of conflict. To account for its endogeneity, it is instrumented with ethnic fractionalization and distance to the eastern border. A variety of indicators of well-being are used: a wealth index, a poverty index, and local gross domestic product. The results suggest that, in most situations, reducing transport costs has the expected beneficial impacts on all the measures of welfare. However, when there is intense conflict, improvements in infrastructure may not have the anticipated benefits. The results suggest the need for more nuanced strategies that take into account varying circumstances and consider actions that jointly target governance with construction activities.
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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.