How effective is local beneficiation policy in enhancing rural income and employment? The case of agro-processing beneficiation in Tzaneen, South Africa

First Published June 21, 2019 Research Article

Confronted with a sluggish growth and very high rates of rural unemployment, South Africa has put local beneficiation at the core of its strategy for employment-intensive re-industrialisation. Its industrial policy action plan identified agro-processing as one of the priority areas for this strategy because of its potential employment multiplier in rural areas. Despite the appeal of its industrialisation potential, beneficiation strategy is often contested and its effectiveness as a viable engine of industrialisation in African countries is recurrently questioned. This paper presents an empirical evaluation of the income and employment effects of an agro-processing beneficiation programme launched by the Department of Science and Technology for the processing of abundant mango harvest in the area of Tzaneen in Limpopo province. Using inverse probability weighting estimation on a sample of 385 households residing in and around the beneficiation target area, we find clear positive income effects of the agro-processing project for the beneficiary households. The success of this project in the domestic and international agro-processing markets suggests that local beneficiation strategy can provide a sound basis for rural industrialisation if adequately prepared.

Ashman, S, Fine, B, Newman, S (2011) The crisis in South Africa: Neo-liberalism, financialization and uneven and combined development. The Socialist Register 47: 174195.
Google Scholar
Beissac, C, Maubrey, F, Van der Merwe, JP. (2015) Zimbabwe’s beneficiation policy. Eunomix Research. Available at: www.eunomix.com/cmsAdmin/uploads/eunomix-research-understanding-the-drivers-and-objectives-of-beneficiation-policy-in-zimbabwe-sep-2015_002.pdf (accessed 8 October 2018)
Google Scholar
Byrne, D (1993) Evaluating complex social interventions in a complex world. Evaluation 19: 278289.
Google Scholar
Cassel, C, Sarndal, C, Wretman, J (1983) Some uses of statistical models in connection with the nonresponse problem. In: Madow, WG, Olkin, I (eds) Incomplete Data in Sample Surveys. New York: Academic Press, pp.143160.
Google Scholar
Collier, P (2007) The Bottom Billion. Oxford: Oxford University Press.
Google Scholar
Collier, P (2010) The political economy of natural resources. Social Research 77: 11051132.
Google Scholar
Cramer, C (1999) Can Africa industrialize by processing primary commodities? The case of Mozambican cashew nuts. World Development 27: 12471266.
Google Scholar | Crossref | ISI
Curtis, L, Hammill, B, Eisenstein, E. (2007) Using inverse probability-weighted estimators in comparative effectiveness analyses with observational databases. Medical Care 45: S103S107.
Google Scholar | Crossref | Medline | ISI
Da Silva, CA (2009) Agro-Industries for Development. Rome: CABI.
Google Scholar | Crossref
Davies, R (2016) Foreword for Industrial Policy Action Plan (IPAP) 2016–2018. Pretoria: Department of Trade and Industry, Republic of South Africa.
Google Scholar
Dehejia, R, Wahba, S (1999) Causal effects in non-experimental studies: Re-evaluating evaluation of training programs. Journal of the American Statistical Association 94: 10541062.
Google Scholar | Crossref
Department of Agriculture, Forestry and Fisheries (DAFF), Republic of South Africa (2012) An overview of incentives, theory and practice: A focus on the agro-processing industry in South Africa. Pretoria: Department of Agriculture, Forestry and Fischeries.
Google Scholar
Department of Agriculture, Forestry and Fisheries (DAFF), Republic of South Africa (2015) Strategy for the Development of Small and Medium-Sized Agro-Processing Enterprises in the Republic of South Africa. Pretoria: Department of Agriculture, Forestry and Fischeries.
Google Scholar
Department of Trade Industry (DTI), Republic of South Africa (2014) Annual report 2013/2014. Pretoria: Department of Trade and Industry.
Google Scholar
Fakir, S (2015) Reducing South Africa’s mining dependence. Available at: www.nivela.org/articles/reducing-south-african-mining-dependence-new-energy-technologies-for-new-investments-and-exports/en (accessed 10 June 2017).
Google Scholar
Hausmann, R, Klinger, B, Lawrence, R (2008) Examining Beneficiation. Center for International Development at Harvard University Policy Brief No. 162. Cambridge (MA): Harvard University.
Google Scholar
Henson, S, Cranfield, J (2009) Building the political case for agro-industries and agribusiness in developing countries. Agro-Industries for Development 1: 1046.
Google Scholar | Crossref
Hirschman, A (1968) The political economy of import-substituting industrialization in Latin America. The Quarterly Journal of Economics 8: 132.
Google Scholar | Crossref
Jaffee, S, Morton, J (1995) Marketing Africa’s High-Value Foods: Comparative Experiences of an Emergent Private Sector. Dubuque: Kendall/Hunt.
Google Scholar
Kelegama, S, Foley, F (1999) Impediments to promoting backward linkages from the garment industry in Sri Lanka. World Development 27: 14451460.
Google Scholar | Crossref
Kuwornu, K, Bashiru Dumayiri, M (2014) Consumer sciences farm households’ livelihood diversification into agro-processing and non-agro-processing activities: Empirical evidence from Ghana. Information Management and Business Review 6: 191199.
Google Scholar | Crossref
Lambert, I (2001) Problems and constraints to the development of the agro-processing sector. In: Dominica country conference. Wanstead: University of the West Indies.
Google Scholar
Lewis, WA (1954) Economic development with unlimited supplies of labour. The Manchester School 22: 105138.
Google Scholar | Crossref
Mather, C (2005) SMEs in South Africa’s Food Processing Complex: Development Prospects, Constraints and Opportunities. Working Paper 3-2005. Pretoria: Trade and Industrial Policy Secretariat.
Google Scholar
Mhazo, N, Mvumi, BM, Nyakudya, E. (2012) The status of the agro-processing industry in Zimbabwe with particular reference to small-and medium-scale enterprises. African Journal of Agricultural Research 7: 16071622.
Google Scholar
Page, J (2012) Can Africa industrialise? Journal of African Economies 21(2): ii86ii124.
Google Scholar
Roberts, S (2009) Food production in South Africa: Corporate conduct and economic policy. In: Paper for initiative for policy dialogue task force on Africa meeting, Pretoria, 9–10 July 2009.
Google Scholar
Rosenbaum, P (1987) Model-based direct adjustment. Journal of the American Statistical Association 82: 387394.
Google Scholar | Crossref | ISI
Rosenbaum, P, Rubin, D (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70: 4155.
Google Scholar | Crossref | ISI
Stoddard, E (2013) Africa is still way too dependent on resources. Reuters Money. Available at: www.reuters.com/article/us-africa-investment-idUSBRE93P0HX20130426 (accessed 10 June 2017).
Google Scholar
Timmer, CP (1988) The agricultural transformation. Handbook of Development Economics 1: 275331.
Google Scholar | Crossref
Ustriyana, I (2015) Agribusiness model in rural community economic: Indonesia perspective. African Journal of Agricultural Research 10(4): 174178.
Google Scholar | Crossref
World Bank (2007) Agriculture for development. World Bank Development Report. Washington, DC: World Bank.
Google Scholar

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