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Factors Influencing Smallholder Crop Diversification: A Case Study of Manicaland and Masvingo Provinces in Zimbabwe

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  • Lighton Dube

Abstract

This study analyzes the degree of crop diversification and factors associated with crop diversification among 479 smallholder farmers in Manicaland and Masvingo provinces of Zimbabwe. The Herfindahl index used to estimate diversification, while the Tobit model evaluated factors associated with crop diversification. The mean crop diversity index is 0.54. On average households in Nyanga and Bikita are the most diversified with indices of 0.48 and 0.49 respectively. The most specialized households are in Mutasa and Chiredzi with indices of 0.62. An analysis by gender shows that male headed households are slightly more diversified than female headed households. The Tobit model indicates that gender of head of household, education, number of livestock units, access to irrigation, membership to a farmers group, access to markets, farming experience, farms on flat terrain, farmer to farm extension, routine extension, agro-ecological zone and household income are significant contributors to increasing crop diversification. In turn, crop specialization is significantly associated with off-farm employment, soil fertility, farmers who are happy with extension contacts per year, farmers trained using the farmer field school approach and farmers who receive NGO extension support.

Suggested Citation

  • Lighton Dube, 2016. "Factors Influencing Smallholder Crop Diversification: A Case Study of Manicaland and Masvingo Provinces in Zimbabwe," International Journal of Regional Development, Macrothink Institute, vol. 3(2), pages 1-1, December.
  • Handle: RePEc:mth:ijrd88:v:3:y:2016:i:2:p:1
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    References listed on IDEAS

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    1. Shujie Yao, 1997. "Comparative Advantages And Crop Diversification: A Policy Analysis Matrix For Thai Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 211-222, January.
    2. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    3. Ghimire, Raju & Huang, Wen-Chi & Shrestha, Rudra Bahadur, 2014. "Factors Affecting Nonfarm Income Diversification among Rural Farm Households in Central Nepal," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 4(2), April.
    4. Benin, S. & Smale, M. & Pender, J. & Gebremedhin, B. & Ehui, S., 2004. "The economic determinants of cereal crop diversity on farms in the Ethiopian highlands," Agricultural Economics, Blackwell, vol. 31(2-3), pages 197-208, December.
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    1. Chinmaya Ranjan Kumar & Chittaranjan Nayak & Ashis Kumar Pradhan, 2024. "Status and determinants of crop diversification: evidence from Indian States," Letters in Spatial and Resource Sciences, Springer, vol. 17(1), pages 1-18, December.

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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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