Anwar, Mumtaz and Chaudhry, Imran Sharif and Khan, Muhammad Bashir (2009): Factors Affecting Cotton Production in Pakistan:Empirical Evidence from Multan District. Published in: Journal of Quality and Technology Management , Vol. V, No. II (1. December 2009): pp. 91-100.
Download (142kB) | Preview
This paper attempts to examine the factors affecting cotton production in Multan region using primary source of data. A sample of 60 small farmers, 25 medium and 15 large farmers was randomly selected from two Tehsils namely Multan and Shujabad of district Multan. The Cobb-Douglas Production Function is employed to assess the effects of various inputs like cultivation, seed and sowing, irrigation, fertilizer, plant protection, inter-culturing / hoeing and labour cost on cotton yield. The results depicted that seed, fertilizer and irrigation were found scarce commodity for all category of farmers in district Multan. The Cobb-Douglas Production Function results revealed that the coefficients for cultivation (0.113) and seed (0.103) were found statistically significant at 1 percent level. The Cost-Benefit Ratio for the large farmers was found higher (1.41) than that of small (1.22) and medium (1.24) farmers. There is a dire need to ensure the availability of these scarce inputs by both public and private sectors as these inputs were major requirement of the cotton crop.
|Item Type:||MPRA Paper|
|Original Title:||Factors Affecting Cotton Production in Pakistan:Empirical Evidence from Multan District|
|Keywords:||Cotton; Cobb- Douglas Production Function; Cost Benefit Ratio; Marginal Value Product; Allocate Efficiency of Critical Inputs; Multan District; Pakistan|
|Subjects:||D - Microeconomics > D1 - Household Behavior and Family Economics > D10 - General
D - Microeconomics > D6 - Welfare Economics > D61 - Allocative Efficiency; Cost-Benefit Analysis
|Depositing User:||Mumtaz Anwar|
|Date Deposited:||25. May 2010 01:09|
|Last Modified:||12. Feb 2013 17:44|
Anwar, N. (1998). Optimization of quantitative factors contributing to yield variability of wheat. A case study of Rachna Doab. M.sc. (Hons) Thesis. Department of Agricultural Economics, University Of Agriculture, Faisalabad.
Carlos E. Carpio and Octario. A. Ramirez. (2002). Forecasting Foreign Cotton Production. The Case of India, Pakistan and Australia. Department of Agriculture and Applied Economics, Texas Tech. University, Lubbock, Texas.
Government of Pakistan (1987-88 to 2005-06). Pakistan Economic Survey, Federal Bureau of Statistics, Islamabad, Pakistan.
Government of Pakistan (1995-96 to 2005-06). Agricultural Statistics of Pakistan Food, Agriculture & Livestock (Economic and Planning Wing), Islamabad, Pakistan.
Government of Pakistan (2006-07). Cotton Statistical Bulletin, Directorate of Marketing & Economic Research, Pakistan Central Cotton Committee, Karachi.
Government of Pakistan (2008). Small and Medium Enterprises Development Authority. Textile Vision.
Hassan, I. (1991). Determination of factors inhibiting adoption of improved technology in cotton production. M.Sc. (Agric. Econ.) Thesis, University of Agriculture, Faisalabad.
Heady, E.O. and J.L. Dillon (1969). Agricultural Production Function: Iowa State University Press, Ames, Iowa, USA. International Cotton Advisory Committee, (2005). Washington DC, USA.
Khan, B.R., B.M. Khan, A. Razzaq, M. Munir, M. Aslam, S. Ahmad, N.I. Hashmi and P.R. Hobbs (1986). Effects of different tillage implements on the yield of wheat. Journal of Agriculture Research, 7: 141-147.
Khuda Baksh, Ishtiaq Hassan & Asif Maqbool (2005). Factors affecting cotton yield: a case study of Sargodha (Pakistan). Journal of Agriculture & Social Sciences, 1 (4).
Nabi, M. (1991). Relationship between crop productivity and input use-age. Journal of International Development, 8: 68-88.
Pakistan Cotton Ginners Association (2005). Annual Report, Multan