Relationship Between Rural Poverty and Agricultural Diversification at a Local Scale in Colombia: An Approach through Spatial Effects

DOI 10.7160/aol.2025.170406
No 4/2025, December
pp. 67-70

Mojica Godoy, A. (2025) "Relationship Between Rural Poverty and Agricultural Diversification at a Local Scale in Colombia: An Approach through Spatial Effects", AGRIS on-line Papers in Economics and Informatics, Vol. 17, No. 4, pp. 67-79. ISSN 1804-1930 DOI 10.7160/aol.2025.170406.

Abstract

This paper examines the relationship between local agricultural diversification and rural poverty in Colombia. The evidence presented suggests that municipal-scale agricultural diversification is associated with higher levels of rural poverty. The primary mechanism driving this relationship is the loss of external economies of scale in agricultural production. However, when analyzing the spatial effects (autocorrelation and spatial heterogeneity), it was found that this relationship varies across the country. Neighboring municipalities have opposite spillover effects that offset the positive effect. In addition, the presence of small rural producers, greater provision of public goods, the existence of industrial crops, and lower persistence of acts of violence were all found to be associated with lower levels of rural poverty. This study joins the literature on the economic and social effects of agricultural diversification, particularly in the context of its promotion as a means of adapting to and mitigating the effects of climate change

Keywords

Agricultural diversification, poverty, spatial econometrics, spillover effects, regional economics

References

  1. Anselin, L. (1988) "Spatial Econometrics: Methods and Models", Kluwer Academic Publishers, E- ISBN 978-94-015-7799-1 DOI 10.1007/978-94-015-7799-.
  2. Anselin, L. (2010) "Thirty years of spatial econometrics", Papers in Regional Science, Vol. 89, No. 1, pp. 3-25. ISSN 1056-8190 DOI 10.1111/j.1435-5957.2010.00279.x.
  3. Arbia, G. (2006) "Spatial econometrics: statistical foundations and applications to regional convergence", Berlin, Springer Berlin Heidelberg. E-ISBN 978-3-540-32305-1 DOI 10.1007/3-540-32305-8.
  4. Baumgärtner, S. and Quaas, M. F. (2010) "Managing increasing environmental risks through agrobiodiversity and agrienvironmental policies", Agricultural Economics, Vol. 41, No. 5, pp. 483-496. ISSN 1574-0862 DOI 10.1111/j.1574-0862.2010.00460.x.
  5. Berry, A. (2023) "El papel clave de la pequeña agricultura familiar en Colombia", Editorial Universidad del Rosario. 530 p. ISBN 978-958-500-065-0. (In Spanish) DOI 10.12804/urosario9789585000674.
  6. Brunsdon, C., Fotheringham, S. and Charlton, M. (1996) "Geographically weighted regression", Journal of the Royal Statistical Society, Vol. 4, pp. 431-443. ISSN 1467-985X DOI 10.1111/1467-9884.00145.
  7. da Silva, G. S., Amarante, P. A. and Amarante, J. C. A. (2022) "Agricultural clusters and poverty in municipalities in the Northeast Region of Brazil: A spatial perspective", Journal of Rural Studies, Vol. 92, pp. 189-205. ISSN 1873-1392 DOI 10.1016/j.jrurstud.2022.03.024.
  8. Chavas, J.-P. (2001) "Structural Change in Agricultural Production: Economics, Technology and Policy”, Handbook of Agricultural Economics, Vol. 1A, pp. 263-285. ISSN 1574-0072 DOI 10.1016/S1574-0072(01)10008-3.
  9. Departamento Administrativo Nacional de Estadísticas – DANE. (2014) "Censo Nacional Agropecuario 2014, Sostenibilidad Ambiental en las Unidades de Producción Agropecuaria (UPA), Resultados entrega 08 – octubre 20 de 2015", DANE, Oct. 2015. [Online]. Available: https://www.dane.gov.co/files/CensoAgropecuario/avanceCNA/PPT8-Boletin8.pdf [Accessed: Jul. 24, 2025]. (In Spanish)
  10. De Bellefon, M. and Floch, J. (2018) "Geographically Weighted Regression", In: Loonis, V. (ed.) "Handbook of spatial analysis: theory and application with R". pp. 237-239. ISBN 978-2-11-139686-9
  11. Elhorst, J. P. (2014) "Spatial econometrics: from cross-sectional data to spatial panels", Springer. E-ISBN 978-3-642-40340-8
  12. FAO, IFAD, UNICEF, WFP, and WHO. (2022) "The State of Food Security and Nutrition in the World 2022: Repurposing food and agricultural policies to make healthy diets more affordable", FAO. [Online]. Available: https://openknowledge.fao.org/server/api/core/bitstreams/67b1e9c7-1a7f-4dc6-a19e-f6472a4ea83a/content [Accessed: Jul. 24, 2025]. E-ISSN 2663-807X. ISBN 978-92-5-136499-4
  13. Floch, J. M., and Le Saout, R. (2018) "Spatial econometrics-common models", In: Loonis, V. (ed.) "Handbook of spatial analysis: theory and application with R". pp. 151-177. ISBN 978-2-11-139686-9
  14. Fotheringham, A. S., Brunsdon, C., and Charlton, M. E. (2009) "Geographically weighted regression", In: "The SAGE Handbook of Spatial Analysis", Vol. 1, pp. 243-254. ISBN 9781412910828 DOI 10.4135/9780857020130.n13.
  15. Galvis, L. A. and Meisel, A. (2010) "Persistencia de las desigualdades regionales en Colombia: Un análisis espacial", Documentos de Trabajo Sobre Economía Regional y Urbana, Banco de la República, Vol. 120. ISSN 1692-3715. (In Spanish) DOI 10.2139/ssrn.1548229.
  16. Giller, K. E., Delaune, T., Silva, J. V., Descheemaeker, K., van de Ven, G., Schut, A. G. T., van Wijk, M., Hammond, J., Hochman, Z., Taulya, G., Chikowo, R., Narayanan, S., Kishore, A., Bresciani, F., Teixeira, H. M., Andersson, J. A. and van Ittersum, M. K. (2021) "The future of farming: Who will produce our food?", Food Security, Vol. 13, No. 5, pp. 1073-1099. ISSN 1876-4525 DOI 10.1007/s12571-021-01184-6.
  17. Gómez, H. and Hernan, M. (2015) "Econometría espacial usando Stata. Breve guía aplicada para datos de corte transversal", Documentos de Trabajo del Instituto de Estudios Laborales y del Desarrollo Económico. Vol. 1. ISSN 1852-1118. (In Spanish)
  18. Hufnagel, J., Reckling, M. and Ewert, F. (2020) "Diverse approaches to crop diversification in agricultural research. A review", Agronomy for Sustainable Development, Vol. 40, pp. 1-17. ISSN 1773-0155 DOI 10.1007/s13593-020-00617-4.
  19. International Food Policy Research Institute (IFPRI). (2022) "2022 Global food policy report: Climate change and food systems", International Food Policy Research Institute (IFPRI) DOI 10.2499/9780896294257.
  20. Klasen, S., Meyer, K. M., Dislich, C., Euler, M., Faust, H., Gatto, M., Hettig, E., Melati, D. N., Jaya, I. N. S., Otten, F., Pérez-Cruzado, C., Steinebach, S., Tarigan, S. and Wiegand, K. (2016) "Economic and ecological trade-offs of agricultural specialization at different spatial scales", Ecological Economics, Vol. 122, pp. 111-120. ISSN 1873-6106 DOI 10.1016/j.ecolecon.2016.01.001.
  21. LeSage, J. and Pace, R. K. (2009) "Introduction to Spatial Econometrics",1st ed., Taylor & Francis. New York, 340 p. E-ISBN 9780429138089 DOI 10.1201/9781420064254.
  22. Lobao, L. and Sharp, J. (2013) "Agriculture and rural development", In. Green, G. P. (ed.) "Handbook of rural development", pp. 115-138. ISBN 9781781006702 DOI 10.4337/9781781006719.00016.
  23. Palmer‐Jones, R. and Sen, K. (2006) "It is where you are that matters: the spatial determinants of rural poverty in India", Agricultural Economics, Vol. 34, No. 3, pp. 229-242. ISSN 1574-0862 DOI 10.1111/j.1574-0864.2006.00121.x.
  24. Perfetti, J. J. and Leibovich, J. (2013) "Propuesta de estructura orgánica básica del Ministerio de Agricultura y Desarrollo Rural". [Online]. Available: http://www.repository.fedesarrollo.org.co/handle/11445/381 [Accessed: Jul. 24, 2025]. (In Spanish)
  25. Pielou, E. C. (1966) "Species-diversity and pattern-diversity in the study of ecological succession", Journal of Theoretical Biology, Vol. 10, No. 2, pp. 370-383. ISSN 0022-5193 DOI 10.1016/0022-5193(66)90133-0.
  26. Rahmawati, Y., Ichsan, A. K. N., Brintanti, A. R. D. and Jamil, I. R. (2023) "Geo-spatial analysis: the impact of agriculture productivity, drought, and irrigation on poverty in East Java, Indonesia", Letters in Spatial and Resource Sciences, Vol. 16, No 1. ISSN 1864-404X DOI 10.1007/s12076-023-00348-6.
  27. Royuela, V. and García, G. A. (2015) "Economic and social convergence in Colombia", Regional Studies, Vol. 49, No. 2, pp. 219-239. ISSN 0034-3404 DOI 10.1080/00343404.2012.762086.
  28. Sekyi, S., Quaidoo, C. and Wiafe, E. A. (2021) "Does crop specialization improve agricultural productivity and commercialization? Insight from the Northern Savannah Ecological Zone of Ghana", Journal of Agribusiness in Developing and Emerging Economies, Vol. 13, No. 1., pp. 16-25. ISSN 2044-0847 DOI 10.1108/JADEE-01-2021-0021.
  29. Seo, S. N. (2010) "Is an integrated farm more resilient against climate change? A micro-econometric analysis of portfolio diversification in African agriculture", Food Policy, Vol. 35, No. 1, pp. 32-40. ISSN 1873-5657 DOI 10.1016/j.foodpol.2009.06.004.
  30. Sotelo, S. (2020) "Domestic Trade Frictions and Agriculture", Journal of Political Economy, Vol. 128, No. 7, pp. 2690-2738. ISSN 0022-3808 DOI 10.1086/706859.
  31. Thapa, G., Kumar, A., Roy, D. and Joshi, P. K. (2018) "Impact of Crop Diversification on Rural Poverty in Nepal", Canadian Journal of Agricultural Economics, Vol. 66, No. 3, pp. 379-413. ISSN 1744-7976 DOI 10.1111/cjag.12160.
  32. Ullah, R. and Shivakoti, G. P. (2014) "Adoption of On-Farm and Off-Farm Diversification to Manage Agricultural Risks: Are These Decisions Correlated?", Outlook on Agriculture, Vol. 43, No. 4, pp. 265-271. ISSN 0030-7270 DOI 10.5367/oa.2014.0188.
  33. Vásquez, L. F. and Bara, J. L. R. (2009) "Convergencia económica regional: el caso de los Departamentos colombianos", Ecos de economía, Vol. 13, No. 28, pp. 167-197. ISSN 1657-4206. (In Spanish)
  34. Waha, K., Accatino, F., Godde, C., Rigolot, C., Bogard, J., Domingues, J. P., Gotor, E., Herrero, M., Martin, Guillaume, Mason-D´Croz, D. and van Wijk, M. (2022) "The benefits and trade-offs of agricultural diversity for food security in low-and middle-income countries: A review of existing knowledge and evidence", Food Security, Vol. 33., p. 100645. ISSN 2211-9124 DOI 10.1016/j.gfs.2022.100645.
  35. Wardhana, D., Ihle, R. and Heijman, W. (2017) "Agro-clusters and Rural Poverty: A Spatial Perspective for West Java", Bulletin of Indonesian Economic Studies, Vol. 53 No. 2, pp.161-186. ISSN 0007-4918 DOI 10.1080/00074918.2017.1298722.

Full paper

  Full paper (.pdf, 2.2 MB).