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Water Resources in South Asia: An Assessment of Climate Related Vulnerabilities

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Listed:
  • Markandya, Anil
  • Golub, Elena
  • Sahin, Sebnem
  • Golub, Alexander
  • Kumer Mitra, Bijon
  • Taheripour, Farzad
  • Narayanan, Badri

Abstract

South Asia faces serious challenges in water availability, which are expected to increase in the coming years as populations and demand for food grow, the competition for water from non-agricultural sectors increases, and climate change aggravates the water stress in some river basins. Even without taking account of climate change the amount of water available for irrigation is estimated to drop by between 20-40 percent in several important river basins in the region. The additional impact of climate change is variable and could be positive in some basins but add to the scarcity in others. Also, sea level rise and water-related extreme events are predicted to have an adverse effect on South Asian economies. This paper separates the implications of the growing scarcity of water in South Asia for economic and demographic reasons from those related to climate change. Furthermore, it evaluates specific measures that could be taken to addresses the economic and physical constraints against sustainable water management in the region. The aim is to develop a comprehensive analytical basis to support South Asia’s decision-makers in promoting policies that achieve higher levels of water efficiency, facilitate economic growth in the presence of water scarcity, and promote climate resilience to help farmers to maintain their income in the face of severe climate conditions. The following simulations are developed using the model: BAU describes a baseline to 2050 for South Asian economies. Scenario 1 analyzes the impacts of improvements in water use efficiency in irrigation on the agricultural sector and the economy more widely. Scenario 2 reports the economy-wide impacts of climate-induced water stress. Scenario 3 examines the energy-water-climate linkages, specifically from water for electricity. Scenario 4 estimates the economy-wide impacts of sea level rise and more frequent extreme events in the South Asian region.

Suggested Citation

  • Markandya, Anil & Golub, Elena & Sahin, Sebnem & Golub, Alexander & Kumer Mitra, Bijon & Taheripour, Farzad & Narayanan, Badri, 2017. "Water Resources in South Asia: An Assessment of Climate Related Vulnerabilities," Conference papers 330178, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    • Handle: RePEc:ags:pugtwp:330178
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    References listed on IDEAS

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    1. Farzad Taheripour & Thomas W. Hertel & Wallace E. Tyner, 2011. "Implications of biofuels mandates for the global livestock industry: a computable general equilibrium analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 42(3), pages 325-342, May.
    2. Mark W. Rosegrant & Claudia Ringler & Tingju Zhu & Simla Tokgoz & Prapti Bhandary, 2013. "Water and food in the bioeconomy: challenges and opportunities for development," Agricultural Economics, International Association of Agricultural Economists, vol. 44(s1), pages 139-150, November.
    3. World Bank, 2014. "Republic of India : Accelerating Agricultural Productivity Growth," World Bank Publications - Reports 18736, The World Bank Group.
    4. Radha, Y. & Reddy, K. Yella & Rao, G. Subba & Chandra, S. Ramesh & Babu, G. Kishore, 2009. "Water-saving Rice Production Technologies in Krishna Western Delta Command of Andhra Pradesh – An Economic Analysis," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 22(Conferenc).
    5. Burniaux, Jean-Marc & Truong Truong, 2002. "GTAP-E: An Energy-Environmental Version of the GTAP Model," GTAP Technical Papers 923, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    6. Taheripour, Farzad & Tyner, Wallace E., 2011. "Global Land Use Changes and Consequent CO2 Emissions due to US Cellulosic Biofuel Program: A Preliminary Analysis," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103559, Agricultural and Applied Economics Association.
    7. Burniaux, Jean-March & Truong, Truong P., 2002. "Gtap-E: An Energy-Environmental Version Of The Gtap Model," Technical Papers 28705, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
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