Zulfiqar, Farhad (2010): Estimation of Wheat Yield Response under different Economic, Location and Climatic Conditions in Punjab.
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The knowledge of supply response greatly helps in farm decisions in allocation of resources in right direction. It can help planners and policy makers to allocate and achieve production targets and in long term planning. It thus provides a framework for adjusting production to the optimum resource employment to promote economic development. The study of supply response at disaggregated level is imperative as responses may be different for different agro-ecological zones of Pakistan. Therefore, the concern of this thesis was to examine the impact of different factors on the supply of agricultural commodities in different agro-ecological zones in Punjab in order to make necessary adjustments in the policy reforms. This study was carried out to estimate the wheat yield response function. The explanatory variables were economic, location and climatic variables. The proxy variable for economic variable was input change, for location variable it was area change and for climatic variables these were temperature and rainfall. Time trend variable was used to capture the affect of technological advances and improved farm management practices. Time series data on these variables was collected from secondary sources for the period 1979-2009. Mixed and cotton-wheat zone of Punjab were selected for the analysis and Faisalabad and Bahawalpur were selected from the above two zones respectively, mainly because of their major share in production of wheat. Dummy variable test and F-test results showed that data pooling was appropriate, so data from the two districts was pooled and used as a single entity. Then method of Ordinary Least Square was used to draw the wheat yield response function. The effect of climatic variables was found significantly higher than that of non-climatic variables i.e., economic and location variables. The largest impact was of mean maximum average temperature at the time of maturity, ceteris paribus with one oC in its increase the average wheat yield increases by 1.4 mounds per hectare. It was concluded from the economic variable results that the level of input use was less than optimum. The location variables suggest that increasing the area virtually decreases the yield. Vertical expansion was found to be the solution of Pakistan’s growing food security needs. Horizontal expansion will result in further decline in the productivity of wheat. The recommendations from this research study were that there should be timely availability of inputs, provision of adequate finance to ensure optimal input use and creating awareness among farming community about the benefits from using recommended package of inputs. There will be growing need of developing new wheat varieties which should be more adaptable to changing climatic conditions.
|Item Type:||MPRA Paper|
|Original Title:||Estimation of Wheat Yield Response under different Economic, Location and Climatic Conditions in Punjab|
|Keywords:||Yield Response; Wheat; OLS; Pakistan|
|Subjects:||Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q1 - Agriculture > Q13 - Agricultural Markets and Marketing; Cooperatives; Agribusiness
Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q0 - General
|Depositing User:||Farhad Zulfiqar|
|Date Deposited:||08. Nov 2010 14:01|
|Last Modified:||12. Feb 2013 17:42|
Akhtar, M., 1999. Changes in the major food grain production in Bangladesh and their sources during the period from 1979/80 to 1998/99. Bangladesh J. Agric.Eco., Vol. 25 (1), PP. 1-16.
Ayub, C., M. Ghaffar and A. R. Kemal, 1974. Wheat Production under Alternative Production Functions. Pakistan Development Review, Vol. 13(2), PP. 407-15.
Cabas, J., A. Weersink and E. Olale, 2009. Crop yield response to economic, site and climatic variables. Climatic Change, DOI 10.1007/s10584-009-9754-4.
Carew, R., E.G. Smith, and C. Grant, 2009. Factors Influencing Wheat Yield and Variability: Evidence from Manitoba, Canada. Journal of Agricultural and Applied Economics, Vol. 41 (3), PP. 625–39.
Chaudhry, M.A. and A. Chaudhry, 1990. Estimation of Yield Response Functions of Sugarcane in Punjab Province. Pak. J. Agri. Sci., Vol. 27 (2), PP. 111-14.
Chaurasia, R., P.K. Sharma, G.S. Mahi and G. Singh, 1991. Climatic change and wheat yield in semi ARID region of Punjab-India. GIS development, AARS, ACRS, Poster Session.
Choi, J.S. and P.G. Helmberger, 1993. How Sensitive are Crop Yields to Price Changes and Farm Programs? J. Agri. and Applied Econ., Vol. 25, PP. 237-44.
Dixon, B.L., S.E. Hollinger, P. Garcia and V. Tirupattur, 1994. Estimating corn yield response models to predict impacts of climate change. J Agric Res Econ, Vol. 19, PP. 58–68.
Government of Pakistan, 2008. Agriculture Statistics of Pakistan 2007-08, Economic Wing, Ministry of Food and Agriculture, Islamabad, Pakistan.
Government of Pakistan, 2009a. Agriculture Statistics of Pakistan 2008-09, Economic Wing, Ministry of Food and Agriculture, Islamabad, Pakistan.
Government of Pakistan, 2009b. Economic Survey of Pakistan 2008-09, Economic Advisor’s Wing, Finance Division, Islamabad, Pakistan.
Government of Pakistan, 2010a. Economic Survey of Pakistan 2009-10, Economic Advisor’s Wing, Finance Division, Islamabad, Pakistan.
Government of Pakistan, 2010b. Pakistan Meteorological Department, Regional Meteorological Department Lahore.
Government of Punjab, 2009. Punjab Development Statistics 2008-09, Bureau of Statistics Govt. of Punjab, Lahore.
Government of Punjab, 2010. Agri. Marketing Round up March 2010, Agriculture Marketing Govt. of Punjab, Lahore.
Graciela, O.M., M.I. Travasso., G.R. Rodriguez., S. Solman., and M. Nunez., 2003. Climate change and wheat production in Argentina. International Journal of Global Warming Issue, Vol. 1(1-3), PP. 214-26.
Griffiths, W., G. Thomson and T. Coelli, 1999. Predicting Output from Seemingly Unrelated Area and Yield Equations. Working Paper Series in Agricultural and Resource Economics (99-9). Graduate School of Agricultural and Resources Economics, University of New England.
Houghton, J.T., Y. Ding, D.J. Griggs, M. Noguer, P.J.V. Linden, X. Dai, K. Maskell, and C.A. Johnson., 2001. Climate Change 2001: The Scientific Basis. Contribution of Working Group I of the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, New York, USA, PP. 555.
IPCC, 2001. Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change [Houghton, J.T., Y. Ding, D.J. Griggs, M. Noguer, P.J. van der Linden, X. Dai, K. Maskell, and C.A. Johnson (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, PP. 881.
IPCC, 2007. Summary for policymakers. In: Climate Change 2007: (Impacts, adaptation and vulnerability. Contribution of working group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change). Cambridge University Press, Cambridge, U.K., and New York, N.Y., U.S.A. PP. 7-22.
Iqbal, N., K. Bakhsh, A. Maqbool and A.S. Ahmad, 2005. Use of the ARIMA model for forecasting wheat area and production in Pakistan. J. Agri. Soc. Sci., Vol.1(2), PP. 120–22.
Ismail, S.M., 1993. Optimal Irrigation and Wheat Yield Response to Applied Water, J. King Saud Univ. Agri. Sci., Vol. 5 (1), PP. 41-56.
Jansen, H.G.P. and S.J. Malik, 2010. Managing Food Price Inflation in Pakistan. In “Food Security in South Asia”. ed. Sadiq Ahmad, World Bank, Washington DC. Forthcoming.
Kaufmann, R.K. and S.E. Snell, 1997. A biophysical model of corn yield: integrating climatic and social determinants. Am. J. Agric. Econ., Vol. 79, PP. 178–90.
Kayam, Y., U. Ozsoy, J. Lomas, O. Oden, M. Mandel, and M. Gurbuz, 2000. The impact of climatic change on wheat production of Aegean region in Turkey: The effect of a reduction of rainfall and the increase of temperature on wheat yields.
Khan, N.Z., M. Ahmad and A. Rasheed, 2003. Wheat Production in Pakistan: Saga of Policy Disincentives [Online]. Web link to http://www.scribd.com/doc/30555593/Naheed-Zia-Khan-Munir-Ahmed-and-Asia-Rasheed.
Knight, C.W., F. J. Wooding, and C. E. Lewis, 1978. Relationships between temperature and wheat adaptation in Alaska. Agronomy Abstracts 11.
Krishna, R., 1963. Farm Supply Response in India-Pakistan: A Case Study of the Punjab Region. The Economic Journal, Vol. 73 (291), PP. 477-87.
Major, D.J., B.L. Blad, A. Bauer, J.L. Hatfield, K.G. Hubbard, E.T. Kanemasu and R.J. Reginato, 1988. Winter wheat grain yield response to water and nitrogen on the North American Great Plains. Agricultural and Forest Meteorology, Vol. 44(2), PP. 141-49.
Mamingi, N., 1996. Aggregation over time, error correction models and Granger causality: A Monte Carlo investigation. Economics Letters Vol. 52 (1), PP. 7-14.
Mendelsohn, R. and M. Reinsborough, 2007. A Ricardian analysis of US and Canadian Farmland. Clim Change, Vol. 81, PP. 9–17.
Mitchell, R.A.C., V.J. Mitchell. and S. Driscoll, 1993. Effects of increased CO2 concentration and temperature on growth and yield of winter wheat at two levels of nitrogen application. Plant, Cell and Environ., Vol. 16, PP. 521-29.
Mushtaq, K. and P.J. Dawson, 2003. Yield Response in Pakistan Agriculture: A Cointegration Approach. Proceedings of the 25th International Conference of Agricultural Economists.
Niamatullah, M., K.U. Zaman and M.A. Khan, 2010. Impact of Support Price and Fertilizer Offtake on Rice Production and Wheat Acreage in NWFP, Pakistan. The Journal of Animal & Plant Sciences, Vol. 20 (1), PP. 28-33.
Pannell, D.J., 2006. Flat earth economics: the far-reaching consequences of flat payoff functions in economic decision making. Rev Agric Econ, Vol. 28, PP. 553–66.
Reidsma, P., F. Ewert and A. Lansink, 2007. Analysis of farm performance in Europe under different climatic and management conditions to improve understanding of adaptive capacity. Clim Change, Vol. 84, PP. 403–22.
Rickard, B. and G. Fox, 1999. Have grain yields in Ontario reached a plateau? Food Rev Int, Vol. 15, PP. 1–17.
Segerson, K. and B.L. Dixon, 1999. Climate change and agriculture: the role of farmer adaptation. In: Mendelsohn R, Neumann JE (eds) The impact of climate change on the United States economy, chap 4. Cambridge University Press, Cambridge, PP. 75–93.
Shiluli, M.C., C.N. Macharia and A.W. Kamau, 2003. Economic Analysis of Maize Yield Response to Nitrogen and Phosphorus in the Sub-Humid Zones of Western Kenya. African Crop Science Journal, Vol. 11. (3), PP. 181-87.
Spilde, L.A., 1989. Influence of seed size and test weight on several agronomic traits of barley and hard red spring wheat. J. Prod. Agric., Vol. 2, PP. 169-72.
Thornton, P., P. Jones, A. Farrow, G. Alagarswamy and J. Andresen, 2008. Crop Yield Response to Climate Change in East Africa: Comparing Highlands and Lowlands, IHDP, Update 2, 2008[Online]. Web link to http://www.ihdp.unu.edu/file/IHDP+Updates/IHDP_Update_2008_2.
Wassenaar, T., P. Lagacherie1, J.P. Legros and M.D.A. Rounsevell, 1999. Modelling wheat yield responses to soil and climate variability at the regional scale. Climate Research, Vol. 11, PP. 209–20.
Weber, M. and G. Hauer, 2003. A regional analysis of climate change impacts on Canadian agriculture. Can Public Policy, Vol. 24 (1), PP. 163–80.
You, L., M.W. Rosegrant, C. Fang, and S. Wood, 2005. Impact of global warming on Chinese wheat productivity. EPT discussion paper 143. Published by International Food Policy Research Institute.
Zhu, B., 2004. Climate change affecting crops. An article published in Chinese newspaper “China Daily”.