التفاصيل البيبلوغرافية
| العنوان: |
A typology of emerging farmers in three rural provinces of South Africa: what are the implications for the land redistribution policy? |
| المؤلفون: |
Zantsi, Siphe, Pienaar, Louw Petrus, Greyling, Jan C. |
| المصدر: |
International Journal of Social Economics; 2021, Vol. 48 Issue 5, p724-747, 24p |
| مصطلحات موضوعية: |
MULTIVARIATE analysis, LAND reform, PRINCIPAL components analysis, FARMERS, AGRICULTURAL surveys |
| مصطلحات جغرافية: |
SOUTH Africa |
| مستخلص: |
Purpose: Understanding diversity amongst potential beneficiaries of land redistribution is of critical importance for both design and planning of successful land reform interventions. This study seeks to add to the existing literature on farming types, with specific emphasis on understanding diversity within a sub-group of commercially oriented or emerging smallholders. Design/methodology/approach: Using a multivariate statistical analysis – principal component and cluster analyses applied to a sample of 442 commercially-oriented smallholders – five distinct clusters of emerging farmers are identified, using variables related to farmers' characteristics, income and expenditure and farm production indicators and willingness to participate in land redistribution. The five clusters are discussed in light of a predefined selection criteria that is based on the current policies and scholarly thinking. Findings: The results suggest that there are distinct differences in farming types, and each identified cluster of farmers requires tailored support for the effective implementation of land reform. The identified homogenous sub-groups of smallholders, allows us to understand which farmers could be a better target for a successful land redistribution policy. Originality/value: Most of the existing typology studies in South Africa tend to focus on general smallholders and in the Eastern Cape province; this study extends the literature by focussing on specific prime beneficiaries of land reform in three provinces. This study uses a more detailed dataset than the Statistics general and agricultural household surveys. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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