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Total Factor Productivity and the Efficiency of Rice Farms in Bangladesh: a Farm Level Panel Data Comparison of the Pre- and Post-Market Reform Period

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  • Alam, Mohammad Jahangir
  • Begum, Ismat Ara
  • Rahman, Sanzidur
  • Buysse, Jeroen
  • Van Huylenbroeck, Guido

Abstract

The market reform policy in agriculture and the trade liberalization during the early 1990s has led to structural changes in the agricultural sector of Bangladesh. The question of whether market reform policies in Bangladesh facilitated rice production is examined in this paper. This paper uses stochastic frontier production function to measure total factor productivity (TFP), technical change, and technical efficiency change covering the period of pre-market reform (1987) and post-market reform (2000 and 2004). To fulfill the objective, the study used panel data of 73 same farm households from a field survey of 1987–1988, 1999-2000 and 2003-04. It is evident from the study results that over time period (1987-2004), the TFP increased (31.76%) only due to upward shift in the technology. Technological change increased 59.99% in post reform period. However, although TFP increased substantial inefficiencies remain in Bangladesh rice sector. Technical efficiency change (-34.46%) developed negatively over the years of study at farm level. Market reform policy has negative impact on technical efficiency change but positive in technical change and TFP change although all are declining over the time period. Therefore, government policies need for further reform of domestic market and trade policies focusing on institutional changes, tariff and nontariff barriers in order to develop a competitive environment in rice sector.

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Paper provided by Agricultural Economics Society in its series 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK with number 108948.

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Date of creation: Apr 2011
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Handle: RePEc:ags:aesc11:108948

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Keywords: Farm Management;

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  1. Sickles, Robin C., 2005. "Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings," Journal of Econometrics, Elsevier, vol. 126(2), pages 305-334, June.
  2. Tim Coelli & Sanzidur Rahman & Colin Thirtle, 2002. "Technical, Allocative, Cost and Scale Efficiencies in Bangladesh Rice Cultivation: A Non-parametric Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 53(3), pages 607-626.
  3. Gong, Byeong-Ho & Sickles, Robin C., 1992. "Finite sample evidence on the performance of stochastic frontiers and data envelopment analysis using panel data," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 259-284.
  4. Ondrich, Jan & Ruggiero, John, 2001. "Efficiency measurement in the stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 129(2), pages 434-442, March.
  5. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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Cited by:
  1. Otieno, David Jakinda & Hubbard, Lionel J. & Ruto, Eric, 2012. "Determinants of technical efficiency in beef cattle production in Kenya," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125853, International Association of Agricultural Economists.

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