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An Analysis of Technical Efficiency of Mangrove Rice Production in the Guinean Coastal Area

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Listed:
  • Boubacar Balde
  • Hajime Kobayashi
  • Makoto Nohmi
  • Akira Ishida
  • Mohamed Esham
  • Emmanuel Tolno

Abstract

In Guinea, the national rice consumption exceeds rice production, leading to concerns about food security. Thus, recent governmental measures have been directed towards promoting rice production, particularly in the coastal areas, the only zone where the mangrove rice production is practiced. Rice is the most important food crop and its production is the most organized food production system in the country. Therefore, it’s of interest to examine the efficiency of mangrove rice production, in this study an attempt is made to determine the technical efficiency of mangrove rice production by using the stochastic frontier model. The study used primary data collected through a field survey. The analysis revealed that farm area and depreciation cost of farm tools contribute to significantly enhance the mangrove rice productivity. The inefficiency model revealed that age of household head, household size, farming experience, off-farm income and remittance significantly influenced the technical efficiency. The mean level of the technical efficiency was estimated at 23%, while the efficiency ranged from 0.0% to 100%. Furthermore, the analysis indicated that the loss due to the inefficiency was significant with a value of 8,838,762 Guinean Francs per acre. Policy recommendations and strategies for improving the efficiency of mangrove rice production are advocated based on the findings.

Suggested Citation

  • Boubacar Balde & Hajime Kobayashi & Makoto Nohmi & Akira Ishida & Mohamed Esham & Emmanuel Tolno, 2014. "An Analysis of Technical Efficiency of Mangrove Rice Production in the Guinean Coastal Area," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 6(8), pages 179-179, July.
  • Handle: RePEc:ibn:jasjnl:v:6:y:2014:i:8:p:179
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    References listed on IDEAS

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    1. Coelli, Tim J. & Battese, George E., 1996. "Identification Of Factors Which Influence The Technical Inefficiency Of Indian Farmers," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 40(2), pages 1-26, August.
    2. Gershon Feder & Rinku Murgai & Jaime B. Quizon, 2004. "Sending Farmers Back to School: The Impact of Farmer Field Schools in Indonesia," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 26(1), pages 45-62.
    3. Abdulai, Awudu & Huffman, Wallace, 2000. "Structural Adjustment and Economic Efficiency of Rice Farmers in Northern Ghana," Economic Development and Cultural Change, University of Chicago Press, vol. 48(3), pages 503-520, April.
    4. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    5. Bravo-Ureta, Boris E. & Evenson, Robert E., 1994. "Efficiency in agricultural production: The case of peasant farmers in eastern Paraguay," Agricultural Economics, Blackwell, vol. 10(1), pages 27-37, January.
    6. Boris E. Bravo‐Ureta & Robert E. Evenson, 1994. "Efficiency in agricultural production: the case of peasant farmers in eastern Paraguay," Agricultural Economics, International Association of Agricultural Economists, vol. 10(1), pages 27-37, January.
    7. Akinwumi A. Adesina & Jojo Baidu‐Forson, 1995. "Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa," Agricultural Economics, International Association of Agricultural Economists, vol. 13(1), pages 1-9, October.
    8. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
    9. Boubacar Balde & Hajime Kobayashi & Akira Ishida & Makoto Nohmi & Mohamed Esham & Ichizen Matsumura & Emmanuel Tolno, 2014. "Effects of Rural Livelihood Activities on Income Inequality and Poverty Reduction in the Guinean Coastal Area," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 6(6), pages 113-113, May.
    10. Sall, Samba & Norman, David & Featherstone, Allen M., 1998. "Adaptability of improved rice varieties in senegal," Agricultural Systems, Elsevier, vol. 57(1), pages 101-114, May.
    11. Tijani, A.A., 2006. "Analysis of the technical efficiency of rice farms in Ijesha Land of Osun State, Nigeria," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(2), pages 1-10, June.
    12. 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.
    13. Adesina, Akinwumi A. & Baidu-Forson, Jojo, 1995. "Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa," Agricultural Economics, Blackwell, vol. 13(1), pages 1-9, October.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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