Person:
Damania, Richard

Sustainable Development Practice Group, The World Bank
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Fields of Specialization
Development Economics, Environmental Economics, Natural Resource Economics, Agricultural Economics, Water Economics, Game Theory
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Last updated November 29, 2023
Biography
Richard Damania is the Chief Economist of the Sustainable Development Practice Group. He has held several positions in the World Bank including as Senior Economic Advisor in the Water Practice, Lead Economist in the Africa Region’s Sustainable Development Department, in the South Asia and Latin America and Caribbean Regions of the World Bank. His work has spanned across multiple sectors and has helped the World Bank become an acknowledged thought-leader on matters relating to environment, water and the economy. Prior to joining the World Bank he held positions in academia and has published extensively with over 100 papers in scientific journals.

Publication Search Results

Now showing 1 - 7 of 7
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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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    Salt of the Earth: Quantifying the Impact of Water Salinity on Global Agricultural Productivity
    (World Bank, Washington, DC, 2019-12-10) Russ, Jason ; Damania, Richard ; Desbureaux, Sebastien ; Escurra, Jorge ; Rodella, Aude-Sophie ; Zaveri, Esha
    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 impacts on global food production. In this paper we develop a plausibly causal model to test the sensitivity of global and regional agricultural productivity to changes in water salinity. To do so, we utilize several local and global datasets on water quality and agricultural productivity and a model which isolates the impact of exogenous changes in water salinity on yields. We then train a machine learning model to predict salinity globally in order to simulate average global food losses from 2000-2013. These losses are found to be high, in the range of the equivalent of 124 trillion kilocalories, or enough to feed over 170 million people every day, each year. Global maps building on these results show that pockets of high losses occur on all continents but can be expected to be particularly problematic in regions already experiencing malnutrition challenges.
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    Does Rainfall Matter for Economic Growth? Evidence from Global Sub-National Data (1990-2014)
    (World Bank, Washington, DC, 2019-06) Damania, Richard ; Desbureaux, Sebastien ; Zaveri, Esha
    Much micro-econometric evidence suggests that precipitation has wide ranging impacts on vital economic indicators such as agricultural yields, human capital, and even conflict. And yet paradoxically most macro-econometric evidence (especially in the climate economy literature) finds that precipitation has no robust and significant impact on various measures of aggregate economic output. This paper argues that spatial aggregation of weather at the country level explains this result. The paper uses annual subnational gross domestic product data to show a concave relationship between precipitation and local gross domestic product growth between 1990 and 2014. It then demonstrates that when the data are aggregated at larger spatial scales, the impact decreases and eventually vanishes. The impact of precipitation on aggregate economic activity is predominantly felt in developing countries; it is insignificant in developed countries. Agriculture is found to be the dominant pathway. The results have significant consequences for measuring the economic impacts of climate change.
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    When Good Conservation Becomes Good Economics: Kenya’s Vanishing Herds
    (World Bank, Washington, DC, 2019-10-07) Damania, Richard ; Desbureaux, Sebastien ; Scandizzo, Pasquale Lucio ; Mikou, Mehdi ; Gohil, Deepali ; Said, Mohammed
    It is no exaggeration to state that Kenya’s wildlife has done much to shape the image and development fortunes of the country. Today tourism is among Kenya’s top sources of foreign exchange, dominates the service sector, and contributes significantly to employment, especially in rural areas where economic opportunities are limited. The typical international tourist arrives on a package tour that may include a safari, a visit to the beach, or both. It is safari tourism, however, that generates the most employment and economic activity across the country. But the wildlife that has lured travelers to Kenya by the planeload is in dramatic decline. In the past three decades, the country has lost more than half of its wildlife. Wild herds that once roamed freely across the borders of Kenya and Tanzania have shrunk dramatically in numbers and vanished completely from much of the North. Perhaps most troubling is that recent monitoring of wildlife populations suggests that long-term declines of many of the charismatic species that attract tourists like lions, elephants, giraffes, impalas, and others are occurring at the same rates within the country’s national parks as outside of these protected areas. This report identifies with greater precision the drivers of land conversion from natural habitats to other uses, and examines the extent to which land conversion leads to the extirpation of wildlife and the loss of tourism incomes.
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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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    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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    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.