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  • 1
    UID:
    almafu_9960054838502883
    Format: 1 online resource (38 pages)
    Series Statement: Policy research working papers.
    Content: 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.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 2
    UID:
    almafu_9958246518902883
    Format: 1 online resource (40 pages)
    Series Statement: Policy research working papers.
    Content: This paper addresses an old and recurring theme in development economics: the slow adoption of new technologies by farmers in many developing countries. The paper explores a somewhat novel link to explain this puzzle-the link between market access and the incentives to adopt a new technology when there are non-convexities. The paper develops a theoretical model to guide the empirical analysis, which uses spatially disaggregated agricultural production data from Spatial Production Allocation Model and Living Standards Measurement Study survey data for Nigeria. The model is used to estimate the impact of transport costs on crop production, the adoption of modern technologies, and the differential impact on returns of modern versus traditional farmers. To overcome the limitation of data availability on travel costs for much of Africa, road survey data are combined with geographic information road network data to generate the most thorough and accurate road network available. With these data and the Highway Development Management Model, minimum travel costs from each location to the market are computed. Consistent with the theory, analysis finds that transportation costs are critical in determining technology choices, with a greater responsiveness among farmers who adopt modern technologies, and at times a perverse (negative) response to lower transport costs among those who employ more traditional techniques. In sum, the paper presents compelling evidence that the constraints to the adoption of modern technologies and access to markets are interconnected, and so should be targeted jointly.
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Volltext  (kostenfrei)
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  • 3
    UID:
    almafu_9958246518802883
    Format: 1 online resource (58 pages)
    Series Statement: Policy research working papers.
    Content: 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.
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Volltext  (kostenfrei)
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  • 4
    UID:
    almafu_9958246519002883
    Format: 1 online resource (67 pages)
    Series Statement: Policy research working papers.
    Content: Transport infrastructure is deemed to be central to development and consumes a large fraction of the development assistance envelope. Yet there is debate about the economic impact of road projects. This paper proposes an approach to assess the differential development impacts of alternative road construction and prioritize various proposals, using Nigeria as a case study. Recognizing that there is no perfect measure of economic well-being, a variety of outcome metrics are used, including crop revenue, livestock revenue, non-agricultural income, the probability of being multi-dimensionally poor, and local gross domestic product for Nigeria. Although the measure of transport is the most accurate possible, it is still endogenous because of the nonrandom placement of road infrastructure. This endogeneity is addressed using a seemingly novel instrumental variable termed the natural path: the time it would take to walk along the most logical route connecting two points without taking into account other, bias-causing economic benefits. Further, the analysis considers the potential endogeneity from nonrandom placement of households and markets through carefully chosen control variables. It finds that reducing transportation costs in Nigeria will increase crop revenue, non-agricultural income, the wealth index, and local gross domestic product. Livestock sales increase as well, although this finding is less robust. The probability of being multi-dimensionally poor will decrease. The results also cast light on income diversification and structural changes that may arise. These findings are robust to relaxing the exclusion restriction. The paper also demonstrates how to prioritize alternative road programs by comparing the expected development impacts of alternative New Partnership for Africa's Development projects.
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
    URL: Volltext  (kostenfrei)
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  • 5
    UID:
    almafu_9959377670102883
    Format: 1 online resource (25 pages)
    Series Statement: Policy research working papers.
    Content: 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.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 6
    UID:
    b3kat_BV048272876
    Format: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Content: 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
    Language: English
    URL: Volltext  (kostenfrei)
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  • 7
    UID:
    almafu_9959377670202883
    Format: 1 online resource (33 pages)
    Series Statement: Water Papers
    Content: 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.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 8
    UID:
    b3kat_BV049080846
    Format: 1 Online-Ressource (158 Seiten)
    Content: Migration shapes the lives of those who move and transforms the geographies and economies of their points of departure and destinations alike. The water sector, and the availability of water itself, implicitly and explicitly shape migration flows. Ebb and Flow: Volume 1. Water, Migration, and Development presents new global evidence to advance our understanding of how fluctuations in water availability, as induced by rainfall shocks, influence internal migration, and hence regional development. It finds that cumulative water deficits result in five times as much migration as water excess does. But there are important nuances in why and when these events lead to migration. Where there is extreme poverty and migration is costly, water deficits are more likely to trap people than induce them to migrate. Water shocks can also influence who migrates. Workers leaving regions because of water deficits are often less advantaged than typical migrants and bring with them lower skills, raising important implications for the migrants themselves and receiving regions. Cities are the destination of most internal migrants, but even here, water scarcity can haunt them. Water shortages in urban areas, which lead to so-called day zero events, can significantly slow urban growth and compound the vulnerability of migrants. No single policy can be completely effective at protecting people and their assets from water shocks. Instead, the report puts forth a menu of overlapping and complementary policy options that target both people and places to improve livelihoods and turn water-induced crises into opportunities for growth. A key message is that policies that focus on reducing the impacts of water shocks must be complemented by strategies that broaden opportunities and build the longterm resilience of communities. Doing so will give individuals more agency to determine the best outcome for themselves and to thrive wherever they may choose to locate
    Additional Edition: Erscheint auch als Druckausgabe ISBN 9781464817458
    Language: English
    URL: Volltext  (kostenfrei)
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  • 9
    UID:
    b3kat_BV048272878
    Format: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Content: 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
    Language: English
    URL: Volltext  (kostenfrei)
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  • 10
    UID:
    b3kat_BV048272877
    Format: 1 Online-Ressource
    Series Statement: World Bank E-Library Archive
    Content: 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
    Language: English
    URL: Volltext  (kostenfrei)
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