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Agricultural water allocation efficiency in a developing country canal irrigation system

  • Agha Ali Akram (a1) and Robert Mendelsohn (a2)

Abstract

There is ample evidence that canal systems often fail to reach their design capacity. This study argues that inefficient allocation of water within canals is one cause. This study collects precise measures of farm-level water withdrawals using flow meters in a canal in Pakistan. These data reveal that farmers near the head of the canal get more canal water than farmers near the tail, even accounting for conveyance efficiency. The results suggest that improvements in canal water management would yield efficiency gains for the canal.

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Ali, I. (1988), The Punjab under Imperialism 1885–1947, Princeton, NJ: Princeton University Press.
Bandaragoda, D.J. (1998), ‘Design and practice of water allocation rules: lessons from Warabandi in Pakistan's Punjab’, IIMI Research Report No. 17, International Irrigation Management Institute, Colombo, Sri Lanka.
Booker, J.F. and Young, R.A. (1994), ‘Modeling intrastate and interstate markets for Colorado River water resources’, Journal of Environmental Economics and Management 26: 6687.
Chakravorty, U. and Roumasset, J. (1991), ‘Efficient spatial allocation of irrigation water’, American Journal of Agricultural Economics 73(1): 165173.
Hurd, B.H and Harrod, M. (2001), ‘Water resources: economic analysis’, in Mendelsohn, R. (ed.), Global Warming and the American Economy: A Regional Analysis, Cheltenham: Edward Elgar, pp. 106131.
Hurd, B.H., Calloway, J.M., Smith, J.B., and Kirshen, P. (1999), ‘Economic effects of climate change on US water resources’, in Mendelsohn, R. and Neumann, J. (eds), The Impact of Climate Change on the United States Economy, Cambridge: Cambridge University Press, pp. 133177.
IWMI (International Water Management Institute) (2014), ‘Recalibrating irrigation water rates’, Focus on Pakistan Policy Brief 3.
Lund, J.R., Zhu, T., Tanaka, S.K., and Jenkins, M.J. (2006), ‘Water resources impact’, in Smith, J. and Mendelsohn, R. (eds), The Impact of Climate Change on Regional Systems: A Comprehensive Analysis of California, Northampton, MA: Edward Elgar, pp. 165187.
McKenzie, D. (2015), ‘Tools of the trade: a joint test of orthogonality when testing for balance’, Development Impact Blog, World Bank, [Avai- lable at] http://blogs.worldbank.org/impactevaluations/tools-trade-joint-test- orthogonality-when-testing-balance.
Mukherji, A., Facon, T., De Fraiture, C., Molden, D., and Chartres, C. (2012), ‘Growing more food with less water: how can revitalizing Asia's irrigation help?’, Water Policy 14(3): 430446.
Pakistan Bureau of Statistics (2013), Household Integrated Economic Survey 2011–12, Islamabad: Pakistan Bureau of Statistics.
Qaddumi, H.M. (2005), ‘ Essays on efficient water allocation in the agriculture sector ’, PhD thesis, Yale University.
Seo, N. and Mendelsohn, R. (2008), ‘Climate change impacts on Latin American farmland values: the role of farm type’, Revista de Economia e Agronegocio 6: 159176.
Tsur, Y. (1997), ‘The economics of conjunctive ground and surface water irrigation systems: basic principles and empirical evidence from Southern California’, in Parker, D. and Tsur, Y. (eds), Decentralization and Coordination of Water Resource Management, Boston, MA: Kluwer Academic, pp. 339361.
Yu, W., Yang, Y.C.E., Savitsky, A., Alford, D., Brown, C., Wescoat, J., Debowicz, D., and Robinson, S. (2013), The Indus Basin of Pakistan: The Impacts of Climate Risks on Water and Agriculture, Washington, DC: World Bank.
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Agricultural water allocation efficiency in a developing country canal irrigation system

  • Agha Ali Akram (a1) and Robert Mendelsohn (a2)

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