Technical efficiency in a vegetable based mixed-cropping sector in Tugela Ferry, Msinga District, KwaZulu-Natal
Vegetable production constitutes an important sub-sector of the agricultural economy of KwaZulu-Natal. Most vegetables are cultivated in mixed-cropping types of farming systems. The technical efficiency of vegetable based cropping systems was estimated in order to identify the potential increase in production without incurring additional costs. The factors affecting technical efficiency and constraints and potential of the cropping system were also investigated. A field survey was conducted covering 120 vegetable farmers in the irrigated Tugela Ferry scheme and dryland farming sector in Msinga district during October to December 2003. According to a stochastic frontier production function using a Cobb-Douglas model, hired labour, organic fertilizer, inorganic fertilizer, area harvested and soil fertility maintenance cost showed significant positive effects on vegetable production. The mean technical efficiency of the vegetable based cropping systems was 84.32%. According to the inefficiency model the efficiency increased significantly as a result of farm visits by extension officers, participation in farmer training, less sloping lands, more experience, and higher diversity of the vegetable system. Technical efficiency decreased, however, with higher education level of the farmer and with higher off-farm income. Farm income is low due to low productivity, market constraints, lack of technology, and institutionally related constraints. Environmental conditions in the Msinga district are such that a high value crops can be grown with an adequate supply of irrigation water. There is a good possibility for stepping up production of these crops in marginal lands through appropriate crop diversification.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Richmond, J, 1974. "Estimating the Efficiency of Production," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 515-21, June.
- Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 7(3-4), October.
- Jayne, Thomas S. & Shaffer, James D. & Staatz, John M. & Reardon, Thomas, 1997. "Improving the Impact of Market Reform on Agricultural Productivity in Africa: How Institutional Design Makes a Difference," Food Security International Development Working Papers 54684, Michigan State University, Department of Agricultural, Food, and Resource Economics.
- Manojkumar, Meera, 2002. "Strategic Positioning Of The Michigan Vegetable Industry," Graduate Research Masters Degree Plan B Papers 11067, Michigan State University, Department of Agricultural, Food, and Resource Economics.
- Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181, March.
- Griffin, Ronald C. & Montgomery, John M. & Rister, M. Edward, 1987. "Selecting Functional Form In Production Function Analysis," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 12(02), December.
- Bravo-Ureta, Boris E. & Pinheiro, Antonio E., 1993. "Efficiency Analysis Of Developing Country Agriculture: A Review Of The Frontier Function Literature," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 22(1), April.
- Gong, Byeong-Ho & Sickles, Robin C., 1991.
"Finite Sample Evidence on the Performance of Stochastic Frontiers and Data Envelopment Analysis Using Panel Data,"
91-12, C.V. Starr Center for Applied Economics, New York University.
- 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.
- 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.
- 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.
When requesting a correction, please mention this item's handle: RePEc:ags:agreko:31696. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.