Challenging small-scale farming: a non-parametric analysis of the (inverse) relationship between farm productivity and farm size in Burundi
- Author
- Marijn Verschelde (UGent) , Marijke D'Haese (UGent) , Glenn Rayp (UGent) and Ellen Vandamme
- Organization
- Abstract
- We use a non-parametric approach to investigate the (inverse) relationship between farm productivity and farm size. A kernel regression is used on data of mixed cropping systems to study the determinants of production including different factors that have been identified in literature as missing variables in the testing of the inverse relationship such as soil quality, location, and household heterogeneity. Household data on farm activities and crop production were gathered among 640 households in 2007 in two Northern provinces of Burundi. Our results do not reject the findings of an inverse relationship between farm size and productivity. However, we find that size returns vary substantially with farm size, that is, between 0.2 for the smallest farms and 0.8 for the largest farms. Other factors that affect significantly production include soil quality. Finally, we find a significant positive association between food security and farm size.
- Keywords
- non-parametric, kernel estimation, inverse relationship, farm size, Burundi, D24, O13, Q12, Q18, HOUSEHOLD FOOD INSECURITY, REGRESSION-FUNCTIONS, LAND QUALITY, ACCESS SCALE, CONSTRAINTS, VALIDATION, TANZANIA, EXPLAIN, LABOR
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-2998044
- MLA
- Verschelde, Marijn, et al. “Challenging Small-Scale Farming: A Non-Parametric Analysis of the (Inverse) Relationship between Farm Productivity and Farm Size in Burundi.” JOURNAL OF AGRICULTURAL ECONOMICS, vol. 64, no. 2, 2013, pp. 319–42, doi:10.1111/j.1477-9552.2012.00373.x.
- APA
- Verschelde, M., D’Haese, M., Rayp, G., & Vandamme, E. (2013). Challenging small-scale farming: a non-parametric analysis of the (inverse) relationship between farm productivity and farm size in Burundi. JOURNAL OF AGRICULTURAL ECONOMICS, 64(2), 319–342. https://doi.org/10.1111/j.1477-9552.2012.00373.x
- Chicago author-date
- Verschelde, Marijn, Marijke D’Haese, Glenn Rayp, and Ellen Vandamme. 2013. “Challenging Small-Scale Farming: A Non-Parametric Analysis of the (Inverse) Relationship between Farm Productivity and Farm Size in Burundi.” JOURNAL OF AGRICULTURAL ECONOMICS 64 (2): 319–42. https://doi.org/10.1111/j.1477-9552.2012.00373.x.
- Chicago author-date (all authors)
- Verschelde, Marijn, Marijke D’Haese, Glenn Rayp, and Ellen Vandamme. 2013. “Challenging Small-Scale Farming: A Non-Parametric Analysis of the (Inverse) Relationship between Farm Productivity and Farm Size in Burundi.” JOURNAL OF AGRICULTURAL ECONOMICS 64 (2): 319–342. doi:10.1111/j.1477-9552.2012.00373.x.
- Vancouver
- 1.Verschelde M, D’Haese M, Rayp G, Vandamme E. Challenging small-scale farming: a non-parametric analysis of the (inverse) relationship between farm productivity and farm size in Burundi. JOURNAL OF AGRICULTURAL ECONOMICS. 2013;64(2):319–42.
- IEEE
- [1]M. Verschelde, M. D’Haese, G. Rayp, and E. Vandamme, “Challenging small-scale farming: a non-parametric analysis of the (inverse) relationship between farm productivity and farm size in Burundi,” JOURNAL OF AGRICULTURAL ECONOMICS, vol. 64, no. 2, pp. 319–342, 2013.
@article{2998044,
abstract = {{We use a non-parametric approach to investigate the (inverse) relationship between farm productivity and farm size. A kernel regression is used on data of mixed cropping systems to study the determinants of production including different factors that have been identified in literature as missing variables in the testing of the inverse relationship such as soil quality, location, and household heterogeneity. Household data on farm activities and crop production were gathered among 640 households in 2007 in two Northern provinces of Burundi. Our results do not reject the findings of an inverse relationship between farm size and productivity. However, we find that size returns vary substantially with farm size, that is, between 0.2 for the smallest farms and 0.8 for the largest farms. Other factors that affect significantly production include soil quality. Finally, we find a significant positive association between food security and farm size.}},
author = {{Verschelde, Marijn and D'Haese, Marijke and Rayp, Glenn and Vandamme, Ellen}},
issn = {{0021-857X}},
journal = {{JOURNAL OF AGRICULTURAL ECONOMICS}},
keywords = {{non-parametric,kernel estimation,inverse relationship,farm size,Burundi,D24,O13,Q12,Q18,HOUSEHOLD FOOD INSECURITY,REGRESSION-FUNCTIONS,LAND QUALITY,ACCESS SCALE,CONSTRAINTS,VALIDATION,TANZANIA,EXPLAIN,LABOR}},
language = {{eng}},
number = {{2}},
pages = {{319--342}},
title = {{Challenging small-scale farming: a non-parametric analysis of the (inverse) relationship between farm productivity and farm size in Burundi}},
url = {{http://dx.doi.org/10.1111/j.1477-9552.2012.00373.x}},
volume = {{64}},
year = {{2013}},
}
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