Analysing the Effects of Access to Tractor Service on Rechnical Efficiency of Small-Scale Maize Farmers in Mpumalanga Province

• Autorzy: Mmakhashu Patience Sechube , Abenet Belete , Jan Johannes Hlongwane
• Języki publikacji: EN

Abstrakty

EN

The Purpose of the study was to analyse the effects of access to tractor service on technical efficiency among small-scale maize farmers following the implementation of Masibuyele Emasimini programme in Mpumalanga Province. Data collection was carried out in the districts of Mpumalanga province and these are: Ehlanzeni, Nkangala and Gert Sibande. Purposive sampling technique was used in identifying the three districts. A total of 101 small-scale maize farmers were purposively selected from the districts and used for the study. The study concluded that small-scale maize farmers do have access to tractor service rendered by the Masibuyele Emasimini programme, with 73% of farmers in Ehlanzeni and 60% in both Nkangala and Gert Sibande district that have access to the service, compared to 27% and 40% without access. Results indicate that there are socio-economic factors influencing small-scale maize farmers' access to tractor service, for example, irrigation, inter alia. The Cobb-Douglas model found access to tractor service to be negative and insignificant in both Ehlanzeni and Nkangala district. The variable was however positive (although insignificant) in Gert Sibande. The study recommends that modern irrigation systems (preferably, sprinkler) should be provided as part of the programmes' input list to contribute towards efficient maize production. (original abstract)

Słowa kluczowe

EN

Agriculture; Machinery and equipment; Arable farm

PL

Rolnictwo; Maszyny i urządzenia; Gospodarstwa rolne

• Czasopismo: Journal of Agribusiness and Rural Development
• Rocznik: 2020
• Numer: z. 3 (57)
• Strony: 317--326

Twórcy

autor

Mmakhashu Patience Sechube

• University of Limpopo, South Africa

autor

Abenet Belete

• University of Limpopo, South Africa

autor

Jan Johannes Hlongwane

• University of Limpopo, South Africa

Bibliografia

• Abdallah, A.H., Abdul-Rahman, A. (2017). Technical Efficiency of Maize Farmers in Ghana: A Stochastic Frontier Approach. Int. J. Innov. Sci. Res., 29(2), 110-118. Retrieved Nov 12th 2018 from: https://www.researchgate.net/profile/Abdallah_Abdul-Hanan2/publication/312198359_Technical_Efficiency_of_Maize_Farmers_in_Ghana_A_Stochastic_Frontier_Approach/ links/58760ea108ae329d6225d82e.pdf
• Abdulai, S., Nkegbe, P.K., Donkoh, S.A. (2013). Technical efficiency of maize production in Northern Ghana. Afr. J. Agric. Res., 8(43), 5251-5259. Retrieved Nov 12th 2018 from: https://www.researchgate.net/publica-tion/259970210_Technical_efficiency_of_maize_production_in_Northern_Ghana
• Ajah, J. (2014). Factors limiting small-scale farmers' access and use of tractors for agricultural mechanization in Abuja, North Central Zone, Nigeria. Eur. J. Sust. Dev., 3(1), 115-124.
• Alemdar, T., Oren, M.N. (2006). Measuring technical efficiency of wheat production in South Eastern Anatolia with parametric and nonparametric methods. Pak. J. Biol. Sci., 9(6), 1088-1094.
• Alistakius, K.M. (2016). Technical Efficiency of Small-scale Maize Production in Karagwe District. Published Master's thesis. Morogoro, Tanzania: Mzumbe University.
• Baloyi, R.T. (2011). Technical Efficiency in Maize Production by Small-scale Farmers in GaMothiba, Limpopo Province, South Africa. Published Master's thesis. Polokwane, South Africa: University of Limpopo.
• Biddle, J.E. (2010). The introduction of the Cobb-Douglas Regression and its Adoption by Agricultural Economists. Department of Economics. Ann Arbor, United States of America: University of Michigan.
• Chiona, S. (2011). Technical and Allocative Efficiency of Smallholder Maize Farmers in Zambia. Published Master's thesis. Lusaka, Zambia: University of Zambia.
• DAFF (South Africa. Department of Agriculture, Forestry and Fisheries). (2017). The 2016 Economic Review of the South African Agriculture. Pretoria: Government printer. DALA (South Africa. Department of Agriculture and Land Administration). 2005/2006-2007/2008 Strategic Plan. Mpumalanga: Government printer.
• Fox, J. (2010). Logit and Probit models, York SPIDA. Hamilton, Canada: McMaster University.
• GSDM (South Africa. Gert Sibande District Municipality). (2017). Mpumalanga: Government printer.
• IDPED (South Africa. Integrated Development Plan of Ehlanzeni District). (2015). Mpumalanga: Government printer.
• Kibirige, D. (2008). Analysis of the Impact of the Agricultural Productivity Enhncement Program on the Technical and Allocative Efficiency of Maize Farmers in Masindi district. Published Master's thesis. Kampala, Uganda: Makerere University.
• Kiprop, N.I., Hillary, B.K., Mshenga, P., Nyairo, N. (2015). Analysis of Technical Efficiency among Smallholder Farmers in Kissi County, Kenya. J. Agric. Vet. Sci., 8, 50-56.
• Retrieved Nov 12th 2018 from: https://www.semanticscholar.org/paper/Analysis-of-Technical-Efficiency-among-Smallholder-Kiprop-Hillary/5e1fe0788e108eea7d4961ffcfddad39d7c3f3b0
• Knupfer, N.N., McLellan, H. (1996). Descriptive research methodologies Kansas State University, McLellan Wyatt digital.
• Mabuza, M.L., Sithle, M.M., Wale, E., Ortmann, G.F., Darroch, M.A.G. (2012). Factors influencing the use of alternative land cultivation technologies in Swaziland: implications for smallholder farming on customary Swazi Nation Land. Els. J., 29(1), 71-80. Retrieved Feb 26th 2017 from: www.elsevier.com.
• Msuya, E.E., Hisano, S., Nariu, J. (2008). Explaining Productivity Variation among Smallholder Maize Farmers in Tanzania. Paper presented at the 12th World Conference of Rural Sociology of the International Rural Sociology Association, Goyang, Korea 2008. Kyoto, Japan: Kyoto University.
• NDM (South Africa. Nkangala District Municipality). (2017). Mpumalanga: Government printer.
• Sapkota, M., Joshi, N.P., Kattel, R.R., Bajracharya, M. (2017). Technical efficiency and Its Determinants on Maize Seed Production in Palpa District, Nepal. Retrieved Nov 12th 2018 from: https://www.preprints.org/manuscript/201705.0067/v1
• Van Dyk, H.L. (2000). Agriculture: Meeting the needs of the people. Mpumalanga, South Africa.
• Wilson, J.R., Lorenz, K.A. (2015). Modelling binary correlated responses usingSAS, SPSS and R. ICSA book series in statistics 9 (pp. 17-23). Springer International Publishing Switzerland.

Identyfikatory

DOI

10.17306/J.JARD.2020.01239