Technical Efficiency of Boro Rice Production in Meherpur District of Bangladesh: A Stochastic Frontier Approach
American Journal of Agriculture and Forestry
Volume 3, Issue 2, March 2015, Pages: 31-37
Received: Feb. 10, 2015;
Accepted: Feb. 27, 2015;
Published: Mar. 8, 2015
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Md. Nehal Hasnain, Department of Economics, University of Rajshahi, Rajshahi-6205, Bangladesh
Md. Elias Hossain, Department of Economics, University of Rajshahi, Rajshahi-6205, Bangladesh
Md. Khairul Islam, Department of Economics, University of Rajshahi, Rajshahi-6205, Bangladesh
Although rice is the main crop in Bangladesh and the country is ranked as the sixth largest rice producer in the world, researchers observe that rice is not produced with full efficiency in the country. It is also observed that owing to the application of high yielding variety seeds, chemical fertilizer, pesticide, and irrigation, productivity of rice in Bangladesh has increased in the recent years though it is still lower compared to other Asian countries. A review of existing literature reveals that so far little attention has been given by the researchers in investigating the efficiency of rice production in Bangladesh. Thus, the objective of the present study is to analyze the technical efficiency of rice production in Bangladesh using data from boro rice farmers. Required data are collected from 115 boro rice producing farmers of Meherpur district selected using multistage random sampling procedure. In analyzing the data, farm specific technical efficiency scores are estimated using the Translog Stochastic Frontier Production function approach. The study found that technical efficiency of boro rice farms in Meherpur district is 89.5%. It is also found that ‘labor’, ‘fertilizer and pesticide’, ‘seed’ and ‘irrigation’ are the significant factors that affect the level of technical efficiency while ‘farm size’ and ‘ploughing cost’ are found insignificant in affecting technical efficiency of boro rice production in the study area. The results indicate that boro rice farms in the study area have been operating below the maximum level of production frontier and given the available technology, farmers can increase their production by 10.5% through increasing the use of labor, seed and irrigation inputs and also by using proper doses of fertilizer and pesticide inputs.
Md. Nehal Hasnain,
Md. Elias Hossain,
Md. Khairul Islam,
Technical Efficiency of Boro Rice Production in Meherpur District of Bangladesh: A Stochastic Frontier Approach, American Journal of Agriculture and Forestry.
Vol. 3, No. 2,
2015, pp. 31-37.
Adedeji, I. A., Kazeem .O., Adelalu, S.I., Ogunjimi, A.O. and Otekunrin (2013). Application of stochastic production frontier in the estimation of technical efficiency of poultry egg production in Ogbomoso metropolis of Oyo state, Nigeria. World Journal of Agricultural Research. 1(6), 119-123.
Aigner, D. J., Lovell, C. A. K., and Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21-37.
Ajibefun, I. A., and Abdulkadri, A. O. (1999). An investigation of technical inefficiency and production of farmers under the national directorate of employment in Ondo State, Nigeria. Applied Economics Letter, 6, 111–114.
Ajibefun, I. A., and Daramola, A. G. (1999). Measurement and source of technical inefficiency in poultry egg production in Ondo State, Nigeria. Journal of Economics and Rural Development, 13, 85–94.
Ajibefun, I. A., Battese, G.E., and Daramola, A. G. (2002). Determinants of technical efficiency in smallholder food crop farming: application of stochastic frontier production function. Q. J. Int. Agric., 41(3), 225-240.
Anonymous (2009). Annual Report for (2008). IRRI, Los Banos, Philippines.
Backman, S., Islam, K. M. Z., and Sumelius, J. (2010). Determinants of technical efficiency of rice farms in North-Central and North-Western Regions in Bangladesh. An unpublished paper.
Battese, G. E., and Coelli, T. J. (1988). Prediction of farm-level technical efficiencies with a generalized frontier production functions and panel data. Journal of Econometrics, 38, 387-399.
Battese, G. E., Rambaldi, A. N., and Wan, G. H. (1997). Stochastic frontier productions function with flexible risk properties. Journal of Productivity Analysis, 8, 269-280.
BBS (2010). Statistical Yearbook of Bangladesh. Bangladesh Bureau of Statistics, Statistics Division, Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka, Bangladesh.
BBS (2013). Statistical Yearbook of Bangladesh. Bangladesh Bureau of Statistics, Statistics Division, Ministry of Planning, Government of the People’s Republic of Bangladesh, Dhaka, Bangladesh.
Bravo-Ureta, B. E., and Pinheiro, A. E. (1993). Efficiency analysis of developing country agriculture: A review of the frontier function literature. Agricultural and Resource Economics Review, 22(1), 88-101.
BRRI, (2000). Annual report, Bangladesh Rice Research Institute, Gaziupur, Bangladesh.
Chirwa, W. E. (2007). Sources of technical efficiency among smallholder maize farmers in Southern Malawi. African Economic Research Consortium, Nairobi, AERC Research Paper 172.
Coelli, T., Rao, P. D. S., and Battese, G. E. (1998). An introduction to efficiency and productivity analysis. London: Kluwer Academic Publisher.
FAOSTAT (2012). Food and Agricultural Commodities Production 2010. Food and Agriculture Organization of the United Nations. Available at http://faostat. fao.org/site/339/ default.aspx.
FAPRI (2009). The Agricultural Outlook 2009. World Rice. Food and Agricultural Policy Research Institute. Available at http://www.fapri. iastate. Edu/outlook/2009/.
Forsund, F. R., Lovell, C. A. K., and Schmidt, P. (1980). A survey of frontier production functions and of their relationship to efficiency measurement. Journal of Econometrics, 13, 5-25.
GoB (2014). Bangladesh Economic Review 2008. Ministry of Finance, Government of the People’s Republic of Bangladesh, Dhaka.
Hasan, F. M. (2008). Economic efficiency and constraints of maize production in the Northern Region of Bangladesh. j. innov.dev.strategy. 2(1), 18-32.
Hossain, M. E., and Rahman, Z. (2012). Technical efficiency analysis of rice farmers in Naogaon district: An application of the stochastic frontier approach. Journal of Economics and Development Studies, 1(1), 1-20.
Islam, R. M., Hossain, M., and Jaim, H. M. W. (2004). Technical efficiency of farm producing transplanted aman rice in Bangladesh: A comparative study of aromatic, fine and coarse varieties. Bangladesh Journal of Agricultural Economics, XXVII (2), 1-24.
Jondrow, J., Lovell, C. A. K., Materov, I. S., and Schmidt, P. (1982). On the estimation of technical inefficiency in the stochastic frontier production function model. Journal of Econometrics, 19, 233-238.
Just, R. E., and Pope, R. D. (1978). Stochastic specification of production functions and economic implications. Journal of Econometrics, 7, 67-86.
Khan, A., Huda, A. F., and Alam, A. (2010). Farm household technical efficiency: A study on rice producers in selected areas of Jamalpur District in Bangladesh. European Journal of Social Sciences, 14(2), 262-271.
Kothari, C. R. (2003). Research methodology method and technique. New Delhi. Wishwa Prakashan.
Kumbhakar, S. C. (1993). Production risk, technical efficiency, and panel data. Economics Letters, 41, 11-16.
Meeusen, W., and van den Broeck, J. (1977). Efficiency estimation from Cobb–Douglas production function with composed error. International Economic Review, 18, 435-444.
Mohapatra, R. (2013). Farm level technical efficiency in paddy production: A translog frontier production function approach. International Journal of Advanced Research, 1(3), 300-307.
Nargis, F., and Lee, S. H. (2013). Efficiency analysis of boro rice production in North-central region of Bangladesh. The Journal of Animal & Plant Sciences, 23(2), 527-533.
Parikh, A., and Shah, M. K. (1994). Measurement of technical efficiency in the northwest frontier province of Pakistan. Journal of Agricultural Economics, 45, 132-138.
Sattar, A. (2000). Bridging the rice yield gap in Bangladesh. In bridging the rice yield gap in Asia and the Pacific. RAP Publication, 2000/16.
Shantha, A. A., Ali, A. B. G. H., and Bandara, R. A. G. (2013). Technical efficiency of paddy farming under major irrigation conditions in the dry-zone of Sri Lanka: A parametric approach. Australian Journal of Basic and Applied Sciences, 7(6), 104-112.
Sharma, K. R., Leung, P., and Zalleski, H. M. (1999). Technical, allocative, and economic efficiencies in swine production in Hawaii: A comparison of parametric and non-parametric approaches. Agricultural Economics, 20(1), 23–35.
Tijani, A. A. (2006). Analysis of the technical efficiency of rice farms in Ijesha Land of Osun State, Nigeria. Agrekon, 45(2).
Udoh, E. J., and Akintola, J. O. (2001). Land management and resource use efficiency among farmers in South Eastern Nigeria”. Award winning paper presented to the African Real Estate Society and the Rics foundation. Elshadai Global Ventures Ltd., 20-32.
Villano, R., and Fleming, E. (2004). Analysis of technical efficiency in a rainfed low land rice environment in Central Luzon, Philippines using a stochastic frontier production function with a heteroskedastic error structure. Working Paper series in agricultural and resource Economics, University of New England.