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Analysing industrial water demand in India: An input distance function approach

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  • Kumar, Surender

    (National Institute of Public Finance and Policy)

Abstract

This study investigates the water demand of Indian manufacturing plants. It adopts an input distance function approach and approximates it by a translog form. Duality between cost function and input distance function is exploited to retrieve information concerning substitutability and the shadow price of water. The model is estimated, using linear programming approach, on a sample of 92 firms over the three years. The results show that the average shadow price of water is rupees 7.21 per kilolitre and the price elasticity of derived demand for water is high, -1.11 on average, a value similar to what has been found by other researchers working on developing countries (for example, China and Brazil). This indicates that water charges may be an effective instrument for water conservation.

Suggested Citation

  • Kumar, Surender, 2004. "Analysing industrial water demand in India: An input distance function approach," Working Papers 04/12, National Institute of Public Finance and Policy.
    • Handle: RePEc:npf:wpaper:04/12
    Note: Working Paper 12, 2004
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    References listed on IDEAS

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    1. Diane Dupont & Steven Renzetti, 2001. "The Role of Water in Manufacturing," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 18(4), pages 411-432, April.
    2. Arnaud Reynaud, 2003. "An Econometric Estimation of Industrial Water Demand in France," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(2), pages 213-232, June.
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    6. Steven Renzetti, 1993. "Examining the Differences in Self- and Publicly Supplied Firms' Water Demands," Land Economics, University of Wisconsin Press, vol. 69(2), pages 181-188.
    7. Steven Renzetti, 1992. "Estimating the Structure of Industrial Water Demands: The Case of Canadian Manufacturing," Land Economics, University of Wisconsin Press, vol. 68(4), pages 396-404.
    8. Bishwanath Goldar & Rita Pandey, 2001. "Water pricing and abatement of industrial water pollution: study of distilleries in India," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 4(2), pages 95-113, June.
    9. Consuelo Varela‐Ortega & José M. Sumpsi & Alberto Garrido & María Blanco & Eva Iglesias, 1998. "Water pricing policies, public decision making and farmers' response: implications for water policy," Agricultural Economics, International Association of Agricultural Economists, vol. 19(1-2), pages 193-202, September.
    10. Steven Renzetti (ed.), 2002. "The Economics of Industrial Water Use," Books, Edward Elgar Publishing, number 2196.
    11. Wang, Hua & Lall, Somik, 1999. "Valuing water for Chinese industries : a marginal productivity assessment," Policy Research Working Paper Series 2236, The World Bank.
    12. Hua Wang & Somik Lall, 2002. "Valuing water for Chinese industries: a marginal productivity analysis," Applied Economics, Taylor & Francis Journals, vol. 34(6), pages 759-765.
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    Cited by:

    1. Linz, Teresa & Tsegai, Daniel W., 2009. "Industrial Water Demand analysis in the Middle Olifants sub-basin of South Africa: The case of Mining," Discussion Papers 49927, University of Bonn, Center for Development Research (ZEF).
    2. José Féres & Arnaud Reynaud, 2005. "Assessing the Impact of Environmental Regulation on Industrial Water Use: Evidence from Brazil," Land Economics, University of Wisconsin Press, vol. 81(3).
    3. Vallés-Giménez, Jaime & Zárate-Marco , Anabel, 2013. "Environmental taxation and industrial water use in Spain," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 25, pages 133-162.
    4. George, Biju & Malano, Hector & Davidson, Brian & Hellegers, Petra & Bharati, Luna & Massuel, Sylvain, 2011. "An integrated hydro-economic modelling framework to evaluate water allocation strategies I: Model development," Agricultural Water Management, Elsevier, vol. 98(5), pages 733-746, March.

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    More about this item

    Keywords

    Input distance function ; Industrial water demand ; Translog form water ; Price elasticity;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D20 - Microeconomics - - Production and Organizations - - - General
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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