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Supply, Demand, and Policy Environment for Pulses in Pakistan

Author

Listed:
  • Mubarik Ali

    (Asian Vegetable Research and Development Centre, Taiwan.)

  • Abedullah

    (International Rice Research Institute, Manila.)

Abstract

This paper fills an information gap regarding factors affecting the supply and demand of pulses in Pakistan. The short- and long-term supply elasticities were estimated using the Nerlovian partial adjustment process, while demand elasticities were estimated by applying the Deaton and Muellbauer Almost Ideal Demand System (AIDS). Generally lack of technological innovation in pulses, except in mungbean, has reduced their production and they are pushed to low intensive areas which are marginal for cereal and cash crop production. Pulses did not benefit from the investment in irrigation infrastructure. Increase in wage rates has further affected the mungbean and lentil production. On the demand side, contrary to normal belief, pulses have high own-price demand and income elasticities. Thus decline in pulses consumption is not caused by their being regarded as inferior goods, rather it can be attributed to disproportionate increase in pulses price, as laxity in pulses research left their production behind demand. The high-yielding, short-duration, and pest-resistant pulses varieties with synchronised maturity can revive their production trend as well as improve the dietary pattern, especially of the poor.

Suggested Citation

  • Mubarik Ali & Abedullah, 1998. "Supply, Demand, and Policy Environment for Pulses in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 37(1), pages 35-52.
  • Handle: RePEc:pid:journl:v:37:y:1998:i:1:p:35-52
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    File URL: http://www.pide.org.pk/pdf/PDR/1998/Volume1/35-52.pdf
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    References listed on IDEAS

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    1. Giancarlo Moschini & Karl D. Meilke, 1989. "Modeling the Pattern of Structural Change in U.S. Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(2), pages 253-261.
    2. Barten, A. P., 1969. "Maximum likelihood estimation of a complete system of demand equations," European Economic Review, Elsevier, vol. 1(1), pages 7-73.
    3. Byerlee, Derek & Ramzan Akhtar, M. & Hobbs, Peter R., 1987. "Reconciling conflicts in sequential cropping patterns through plant breeding: The example of cotton and wheat in Pakistan's Punjab," Agricultural Systems, Elsevier, vol. 24(4), pages 291-304.
    4. Mubarik Ali, 1990. "The Price Response of Major Crops in Pakistan: An Application of the Simultaneous Equation Model," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 29(3 and 4), pages 305-325.
    5. Harold Alderman, 1988. "Estimates of Consumer Price Response in Pakistan using Market Prices as Data," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 27(2), pages 89-107.
    6. Gurushri Swamy & Hans P. Binswanger, 1983. "Flexible Consumer Demand Systems and Linear Estimation: Food in India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(4), pages 675-684.
    7. Richard Green & Julian M. Alston, 1990. "Elasticities in AIDS Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 442-445.
    8. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    Cited by:

    1. Umar Farooq & Trevor Young & Muhammad, 1999. "An Investigation into the Farm Households Consumption Patterns in Punjab, Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 38(3), pages 293-305.
    2. Farooq, Umar & Iqbal, Mhuhammad & Ahmad, Munir, 2007. "Livestock Farming in Cholistan Desert of Pakistan: Setting the Development Strategies," MPRA Paper 72944, University Library of Munich, Germany, revised 2007.
    3. Saima Rani & David Vanzetti & Elizabeth Petersen & Muhammad Qasim, 2020. "Estimation of Supply and Demand Elasticities for Major Crops Produced in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 25(1), pages 139-152, Jan-June.
    4. AHMED, Eatzat & JALIL, Abdul & IDREES, Muhammad, 2013. "Almost Ideal Demand System And Uniform Taxation In Pakistan: Econometric Evidences For Consumer Goods In Pakistan, 1984-2008," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(2), pages 207-216.
    5. Arifullah, Shahnaz A. & Önal, Hayri & Chishti, Anwar F., 2010. "Effects of technological progress on consumers’ and producers’ welfare: a case study for Pakistan Punjab," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 49(3), pages 1-13.
    6. Akibode, Comlanvi Sitou & Maredia, Mywish K., 2012. "Global and Regional Trends in Production, Trade and Consumption of Food Legume Crops," Staff Paper Series 136293, Michigan State University, Department of Agricultural, Food, and Resource Economics.

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