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Determinants of chemical fertilizer use in Nepal: Insights based on price responsiveness and income effects:

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  • Takeshima, Hiroyuki
  • Adhikari, Rajendra Prasad
  • Kaphle, Basu Dev
  • Shivakoti, Sabnam
  • Kumar, Anjani

Abstract

Although overall chemical fertilizer use has grown steadily in Nepal in the past two decades, much of that growth has occurred in the Terai agroecological belt while use has stagnated in the Hills and the Mountains regions. Differences in chemical fertilizer use intensity between the Terai and the latter regions are typically pronounced among medium-to-large-size farmers. Using three rounds of the Nepal Living Standards Survey as well as secondary data, we examine the determinants of inorganic fertilizer (urea and DAP) use, as well as the marginal income returns from fertilizer use at the farm-household level. Similarities in soil and climate between farm locale and Agriculture Research Station locale seem to increase demand for fertilizer—even after controlling for distance to those stations. Most important, demand for chemical fertilizer is affected by the real fertilizer price (particularly since the 2003 NLSS survey), but the price response is relatively weaker in the Hills and Mountains, suggesting that returns to fertilizer may be generally low in those regions, and that reducing fertilizer price through subsidies on fertilizer or transportation may not substantially increase fertilizer use. This is confirmed by assessment of the returns to chemical fertilizer use estimated through generalized propensity score matching and ordinary propensity score matching. The findings cast doubt on the effectiveness of fertilizer subsidies as an instrument for stimulating chemical fertilizer use in Nepal, particularly among medium-to-large-scale farmers in the Hills, and point toward alternative measures like increased research and development into technologies that raise overall returns to chemical fertilizer.

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  • Takeshima, Hiroyuki & Adhikari, Rajendra Prasad & Kaphle, Basu Dev & Shivakoti, Sabnam & Kumar, Anjani, 2016. "Determinants of chemical fertilizer use in Nepal: Insights based on price responsiveness and income effects:," IFPRI discussion papers 1507, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1507
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    1. Quizon, Jaime & Binswanger, Hans, 1986. "Modeling the Impact of Agricultural Growth and Government Policy on Income Distribution in India," The World Bank Economic Review, World Bank, vol. 1(1), pages 103-148, September.
    2. Hanan G. Jacoby, 1993. "Shadow Wages and Peasant Family Labour Supply: An Econometric Application to the Peruvian Sierra," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(4), pages 903-921.
    3. Takeshima, Hiroyuki & Nagarajan, Latha, 2012. "Minor millets in Tamil Nadu, India: local market participation, on-farm diversity and farmer welfare," Environment and Development Economics, Cambridge University Press, vol. 17(5), pages 603-632, October.
    4. Robinson, Peter M, 1982. "On the Asymptotic Properties of Estimators of Models Containing Limited Dependent Variables," Econometrica, Econometric Society, vol. 50(1), pages 27-41, January.
    5. Stein T. Holden & Keijiro Otsuka & Klaus Deininger (ed.), 2013. "Land Tenure Reform in Asia and Africa," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-137-34381-9.
    6. Nathan Nunn & Diego Puga, 2012. "Ruggedness: The Blessing of Bad Geography in Africa," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 20-36, February.
    7. Lenis Saweda O. Liverpool-Tasie & Hiroyuki Takeshima, 2013. "Input promotion within a complex subsector: fertilizer in Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 44(6), pages 581-594, November.
    8. Kluve, Jochen & Schneider, Hilmar & Uhlendorff, Arne & Zhao, Zhong, 2007. "Evaluating Continuous Training Programs Using the Generalized Propensity Score," Ruhr Economic Papers 35, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    9. Takeshima, Hiroyuki & Liverpool-Tasie, Lenis Saweda O., 2015. "Fertilizer subsidies, political influence and local food prices in sub-Saharan Africa: Evidence from Nigeria," Food Policy, Elsevier, vol. 54(C), pages 11-24.
    10. Jochen Kluve & Hilmar Schneider & Arne Uhlendorff & Zhong Zhao, 2012. "Evaluating continuous training programmes by using the generalized propensity score," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 587-617, April.
    11. Takeshima, Hiroyuki & Adhikari, Rajendra Prasad & Poudel, Mahendra Nath & Kumar, Anjani, 2015. "Farm household typologies and mechanization patterns in Nepal Terai: Descriptive analysis of the Nepal living standards survey:," IFPRI discussion papers 1488, International Food Policy Research Institute (IFPRI).
    12. Shahidur Rashid & Paul A. Dorosh & Mehrab Malek & Solomon Lemma, 2013. "Modern input promotion in sub-Saharan Africa: insights from Asian green revolution," Agricultural Economics, International Association of Agricultural Economists, vol. 44(6), pages 705-721, November.
    13. Liangliang Gao & Jikun Huang & Scott Rozelle, 2012. "Rental markets for cultivated land and agricultural investments in China," Agricultural Economics, International Association of Agricultural Economists, vol. 43(4), pages 391-403, July.
    14. Michela Bia & Alessandra Mattei, 2008. "A Stata package for the estimation of the dose–response function through adjustment for the generalized propensity score," Stata Journal, StataCorp LP, vol. 8(3), pages 354-373, September.
    15. Hiroyuki Takeshima & Futoshi Yamauchi, 2012. "Risks and farmers’ investment in productive assets in Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 43(2), pages 143-153, March.
    16. Tahirou Abdoulaye & John H. Sanders, 2005. "Stages and determinants of fertilizer use in semiarid African agriculture: the Niger experience," Agricultural Economics, International Association of Agricultural Economists, vol. 32(2), pages 167-179, March.
    17. Kei Kajisa & N. Venkatesa Palanichamy, 2011. "Potential and limitation of an organic fertilizer‐based development strategy: evidence from Tamil Nadu, India, from 1993 to 2003," Agricultural Economics, International Association of Agricultural Economists, vol. 42(6), pages 715-725, November.
    18. Jeetendra P. Aryal roresearcher & Stein T. Holden, 2013. "Land Reforms, Caste Discrimination and Land Market Performance in Nepal," Palgrave Macmillan Books, in: Stein T. Holden & Keijiro Otsuka & Klaus Deininger (ed.), Land Tenure Reform in Asia and Africa, chapter 2, pages 29-53, Palgrave Macmillan.
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    1. Takeshima, Hiroyuki & Adhikari, Rajendra Prasad & Shivakoti, Sabnam & Kaphle, Basu Dev & Kumar, Anjani, 2017. "Heterogeneous returns to chemical fertilizer at the intensive margins: Insights from Nepal," Food Policy, Elsevier, vol. 69(C), pages 97-109.
    2. Takeshima, Hiroyuki & Shivakoti, Sabnam & Bhattarai, Binod & Karkee, Madhab & Pokhrel, Suroj & Kumar, Anjani, 2016. "Farm size and effects of chemical fertilizer price on farm households: Insights from Nepal Terai," IFPRI discussion papers 1578, International Food Policy Research Institute (IFPRI).
    3. Paudel, Jayash & Crago, Christine L., 2017. "Fertilizer Subsidy and Agricultural Productivity: Empirical Evidence from Nepal," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258464, Agricultural and Applied Economics Association.
    4. Ward, Patrick S. & Gupta, Shweta & Singh, Vartika & Ortega, David L. & Gautam, Shriniwas, 2020. "What is the intrinsic value of fertilizer? Experimental value elicitation and decomposition in the hill and terai regions of Nepal," Food Policy, Elsevier, vol. 90(C).

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    Keywords

    fertilizers; farm inputs; surveys; households; medium size farms; large scale farming;
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