Smallholder Tomato Production in Mwanza Region- A Technical Efficiency Analysis Approach.

Smallholder Tomato Production in Mwanza Region- A Technical Efficiency

Authors

  • M. Kongolo Department of Economics, Saint Augustine University of Tanzania (SAUT), Mwanza, Tanzania
  • J. Tesha Department of Economics, Saint Augustine University of Tanzania (SAUT), Mwanza, Tanzania

DOI:

https://doi.org/10.24203/ajhss.v11i1.7180

Keywords:

Stochastic frontier analysis, tomato, Cobb-Douglas production function, technical efficiency, Mwanza.

Abstract

This study measured technical efficiency and its determinants in maize production by small-scale producers in Mwanza region, using a stochastic frontier production function approach. A randomly selected sample of participants in the two districts was used. The Maximum Likelihood estimation procedure was followed to obtain the determinants of technical efficiency and technical efficiency levels of small-scale tomato producers. The minimum and maximum values of technical efficiency were between 20% and 91%, indicating that the least practices of specific producer operates at a minimum level of 20%, while the best practice producers  operate  at 91% technical efficiency level respectively. The summary results of the mean technical efficiency was 57%. The results indicate that farmers were not fully technically efficient with a mean technical efficiency score of 0.58. The study also revealed that most of the farmers irrespective of the size of the holdings have shown technical inefficiency problems. Experienced farmers were observed to have good measures of technical efficiency. The findings also indicated that significant variables of technical efficiency included household size, labour, fertilizer, seed, educational level, household size, farming experience, and access to extension services were statistically significant by positively impacted on producers’ technical efficiency in the study area.

References

Abebe, G. 2014. Off-farm income and technical efficiency of smallholder farmers in Ethiopia: A stochastic frontier analysis. SLU, Master thesis, no.662.

Abdulai, S., Nkegbe, P.K., & Donkoh, S. A. 2018. Assessing the technical efficiency of maize production in northern Ghana: The data envelopment analysis approach. Cogent Food and

and Agriculture, 4(1), 1-14. https://doi.org/10.1080/23311932.2018.1512390

Abdul-Rahaman, A. 2016. Stochastic frontier analysis (SFA) of technical efficiency, insights from smallholder cotton farmers in the Northern Region of Ghana. Global Journal of Agricultural Economics, Extension and Rural Extension, 4 (1), 361-367.

Abedullah, K.B, & Ahmad, B. 2006. Technical efficiency and its determinants in potato production, Evidence from Punjab, Pakistan. The Lahore Journal of Economics, 11(2): 1-22.

Adzawla, W., Fuseini J. & Donkor, S.A. 2013. Estimating efficiency of cotton production in Yendi Municipality, Northern Ghana. Journal of Agricultural Sustainable, 4: 115-140

Astalin, P.K. 2013. Qualitative research design: A conceptual framework. International Journal of Social Science and Interdisciplinary, 2(1), 118-124.

Aigner, D.J., Lovell, C.A.K. & Schmidt, P. 1977. Formulation and estimation of stochastic frontier production models. Journal of Econometrics, 6: 21-37.

Batesse, G.E. & Coelli, T.J. 1995. A Model for technical inefficiency effects in a stochastic frontier production function for Panel Data, Empirical Economics. 20:325-332.

Downloads

Published

2023-04-03

How to Cite

Smallholder Tomato Production in Mwanza Region- A Technical Efficiency Analysis Approach. : Smallholder Tomato Production in Mwanza Region- A Technical Efficiency . (2023). Asian Journal of Humanities and Social Studies, 11(1). https://doi.org/10.24203/ajhss.v11i1.7180

Similar Articles

1-10 of 158

You may also start an advanced similarity search for this article.