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Leveraging the Stochastic Frontier Model for Optimal Technical Efficiency in Tanzanian Maize and Paddy Crops Production

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  • Momole Anthony Kasambala

    (Department of Business Studies, Tanzania Institute of Accountancy, Dar es Salaam, Tanzania)

Abstract

This study evaluates the technical efficiency of maize and paddy production among smallholder farmers in Tanzania, focusing on identifying socio-demographic and institutional factors that influence inefficiency. Agriculture is critical to Tanzania’s economy, contributing significantly to GDP and rural livelihoods. However, low productivity and inefficiency persist, particularly in maize and paddy farming. This study aims to assess the levels of technical efficiency and determine the socio-economic and institutional determinants that affect production efficiency in these crops. This study utilised data from the 2014/15 National Panel Survey, comprising a sample of 1,699 household heads from a targeted population of 3,352 households. A stratified two-stage sampling design was employed, with data analysed using Stochastic Frontier Analysis (SFA). The Cobb-Douglas production function was used to estimate technical efficiency, while socio-demographic factors such as age, education, marital status, household size, and institutional variables such as credit access and training were incorporated into the inefficiency model. The findings reveal that the average technical efficiency for maize and paddy production is 51.45% and 33.27%, respectively, indicating significant potential for output increases without additional resources. Maize farmers exhibited higher efficiency levels than paddy farmers. The key determinants of inefficiency include age, education, household size, and access to extension services and training. Younger, educated, and married farmers and those with access to training and extension services demonstrated higher efficiency levels.

Suggested Citation

  • Momole Anthony Kasambala, 2025. "Leveraging the Stochastic Frontier Model for Optimal Technical Efficiency in Tanzanian Maize and Paddy Crops Production," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(1), pages 646-665, January.
  • Handle: RePEc:bjc:journl:v:12:y:2025:i:1:p:646-665
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    1. Taylor, Timothy G. & Scott Shonkwiler, J., 1986. "Alternative stochastic specifications of the frontier production function in the analysis of agricultural credit programs and technical efficiency," Journal of Development Economics, Elsevier, vol. 21(1), pages 149-160, April.
    2. Bravo-Ureta, Boris E. & Pinheiro, António E., 1993. "Efficiency Analysis of Developing Country Agriculture: A Review of the Frontier Function Literature," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(1), pages 88-101, April.
    3. George E. Battese & Hina Nazli & Melinda Smale, 2017. "Factors influencing the productivity and efficiency of wheat farmers in Punjab, Pakistan," Journal of Agribusiness in Developing and Emerging Economies, Emerald Group Publishing Limited, vol. 7(2), pages 82-98, July.
    4. Yannick Djoumessi & Victor Afari-Sefa & Cyrille Bergaly Kamdem & Jean-Claude Bidogeza, 2018. "Socio-economic and institutional factors underlying efficiency of smallholder vegetable farms in Southwest region of Cameroon," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 45(1), pages 93-106, January.
    5. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275, January.
    6. Subal C. Kumbhakar, 2002. "Specification and Estimation of Production Risk, Risk Preferences and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 8-22.
    7. Seidu Al-hassan, 2008. "Technical Efficiency of Rice Farmers in Northern Ghana," Working Papers 90963ecb-2ee6-4183-b756-2, African Economic Research Consortium.
    8. Kolawole Ogundari, 2013. "Crop diversification and technical efficiency in food crop production," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 40(3), pages 267-287, February.
    9. repec:aer:wpaper:178 is not listed on IDEAS
    10. Renato Villano & Euan Fleming, 2006. "Technical Inefficiency and Production Risk in Rice Farming: Evidence from Central Luzon Philippines," Asian Economic Journal, East Asian Economic Association, vol. 20(1), pages 29-46, March.
    11. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    12. Vu Hoang Linh, 2012. "Efficiency of rice farming households in Vietnam," International Journal of Development Issues, Emerald Group Publishing Limited, vol. 11(1), pages 60-73, April.
    13. Martin Neil Baily, 1986. "Productivity Growth and Materials Use in U. S. Manufacturing," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(1), pages 185-195.
    14. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, Blackwell, vol. 7(3-4), pages 185-208, October.
    15. Stefan Bäckman & K.M. Zahidul Islam & John Sumelius, 2011. "Determinants of Technical Efficiency of Rice Farms in North-Central and North-Western Regions in Bangladesh," Journal of Developing Areas, Tennessee State University, College of Business, vol. 45(1), pages 73-94, July-Dece.
    16. Dominique DEPRINS & Léopold SIMAR, 1989. "Estimating Technical Inefficiencies With Correction For Environmental Conditions," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 60(1), pages 81-102, January.
    17. Raushan Bokusheva & Heinrich Hockmann, 2006. "Production risk and technical inefficiency in Russian agriculture," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(1), pages 93-118, March.
    18. Florin-Marius PAVELESCU, 2011. "Some aspects of the translog production function estimation," Romanian Journal of Economics, Institute of National Economy, vol. 32(1(41)), pages 131-150, June.
    19. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    20. Gilligan, Thomas & Smirlock, Michael & Marshall, William, 1984. "Scale and scope economies in the multi-product banking firm," Journal of Monetary Economics, Elsevier, vol. 13(3), pages 393-405, May.
    21. repec:aer:wpaper:280bce018503 is not listed on IDEAS
    22. Boshrabadi, Hossain Mehrabi & Villano, Renato A. & Fleming, Euan M., 2007. "Analysis of Technical Efficiency and Varietal Differences in Pistachio Production in Iran Using a Meta-Frontier Analysis," 2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand 10425, Australian Agricultural and Resource Economics Society.
    23. repec:eme:ijlma0:ijlma-06-2016-0058 is not listed on IDEAS
    24. Gopal Bhatta & Werner Doppler, 2010. "Farming Differentiation in the Rural-urban Interface of the Middle Mountains, Nepal: Application of Analytic Hierarchy Process (AHP) Modeling," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 2(4), pages 1-37, November.
    25. Dana Hájková & Jaromír Hurník, 2007. "Cobb-Douglas Production Function: The Case of a Converging Economy," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 57(9-10), pages 465-476, October.
    26. 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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