WHY DO SMALL FARMERS HAVE LESS ACCESS TO CREDIT? A MICRODATA ANALYSIS OF THE PERUVIAN CASE

Autores

DOI:

https://doi.org/10.31413/nat.v12i2.16758


Palavras-chave:

inclusão financeira, finanças agrícolas, invisibilidade do crédito, pequenos proprietários

Resumo

Small farmers face many challenges regarding financial inclusion, which adversely affect farm productivity and reduce their income and welfare, especially in developing countries. An optimal comprehension of financial services in specific contexts is a significant challenge, especially for smallholders. So, the question is obvious: Why do small farmers have less access to credit? The main purpose of the present study is to estimate the impact of the determinants of credit access in the Peruvian agricultural sector from 2015 to 2019, considering farm size in different geographic areas, using an econometric methodology for cross-sectional data. The study used data extracted from the Peruvian National Agricultural Survey. The results reveal the probability of farmers accessing credit. However, it varies according to farm size, and was, on average, around 30% at the national level, whereas the size of the farms was identified as a crucial factor. Being a smallholder reduces farmers’ probability of access to credit, while being a large-scale farmer nearly doubles this probability. Furthermore, the study estimated the trend in the odds ratios, which are associated with certain characteristics of the farming population in Peru.

Keywords: financial inclusion; agricultural finances; credit invisibility; smallholders.

 

Por que os pequenos agricultores têm menos acesso ao crédito? uma análise de microdados do caso Peruano

 

RESUMO: Os pequenos agricultores enfrentam muitos desafios com relação à inclusão financeira, que têm efeitos adversos sobre a produtividade agrícola e reduzem sua renda e seu bem-estar, especialmente nos países em desenvolvimento. A compreensão ideal dos serviços financeiros em contextos específicos é um desafio significativo, especialmente para os pequenos agricultores. Portanto, a pergunta é óbvia: Por que os pequenos agricultores têm menos acesso ao crédito? O principal objetivo do presente estudo é estimar o impacto dos determinantes do acesso ao crédito no setor agrícola peruano de 2015 a 2019, considerando o tamanho das fazendas em diferentes áreas geográficas, usando uma metodologia econométrica para dados transversais. O estudo usou dados extraídos da Pesquisa Agrícola Nacional do Peru. Os resultados revelam que a probabilidade de acesso ao crédito pelos agricultores, embora varie de acordo com o tamanho da fazenda, foi em média de cerca de 30% em nível nacional, enquanto o tamanho das fazendas foi identificado como um fator crucial. O fato de ser um pequeno produtor reduz a probabilidade de acesso ao crédito, enquanto o fato de ser um grande produtor quase dobra essa probabilidade. Além disso, o estudo estimou a tendência dos índices de probabilidade, que estão associados a determinadas características da população agrícola no Peru.

Palavras-chave: inclusão financeira; finanças agrícolas; invisibilidade do crédito; pequenos proprietários.

Referências

ANTROP, M. Why landscapes of the past are important for the future. Landscape and Urban Planning, v. 70, n. 1-2, p. 21-34, 2005. https://doi.org/10.1016/j.landurbplan.2003.10.002

ALVARADO, J.; PINTADO, M. Necesidad, demanda y obtención de crédito en el sector agropecuario en el Perú. In: Censo Nacional Agropecuario 2012: Investigaciones para la toma de decisiones en políticas públicas, IV. Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO). 2017. 100p. http://www.fao.org/3/a-i6713s.pdf

AMANULLAH, G.; CHANNA, S.; MAGSI, H.; KOONDHER, M.; WANG, J.; CHANNA, N. Credit constraints and rural farmers’ welfare in an agrarian economy. Heliyon, v. 6, n. 10, e05252, 2020. https://doi.org/10.1016/j.heliyon.2020.e05252

BALANA, B.; OYEYEMI, M. Agricultural credit constraints in smallholder farming in developing countries: Evidence from Nigeria. World Development Sustainability, v. 1, e100012, 2022. https://doi.org/10.1016/j.wds.2022.100012

BENNI, N. El fortalecimiento de la inclusión financiera digital en zonas rurales y agropecuarias. Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO). 2022. https://doi.org/https://doi.org/10.4060/cc2877es

BOUCHER, S.; GUIRKINGER, C. Risk, wealth, and sectoral choice in rural credit markets. American Journal of Agricultural Economics, v. 89, n. 4, p. 991-1004, 2007. https://doi.org/10.1111/j.1467-8276.2007.01009.x

BOUCHER, S.; GUIRKINGER, C.; TRIVELLI, C. Direct elicitation of credit constraints: Conceptual and practical issues with an application to Peruvian agriculture. Economic Development and Cultural Change, v. 57, n. 4, p. 609-640, 2009. https://doi.org/10.1086/598763

BREVOORT, K.; CLARKBERG, J.; KAMBARA, M.; LITWIN, B. The Geography of Credit Invisibility. Consumer Financial Protection Bureau Office of Research Reports Series No. 18-6, 2018. https://ssrn.com/abstract=3288848.

BREVOORT, K.; GRIMM, P.; KAMBARA, M. Credit Invisibles and the Unscored. SSRN Electronic Journal, v. 18, n. 2, p. 9-34, 2016. https://doi.org/10.2139/ssrn.2743007

CHANDIO, A.; JIANG, Y. Determinants of Credit Constraints: Evidence from Sindh, Pakistan. Emerging Markets Finance and Trade, v. 54, n. 15, p. 3401-3410, 2018. https://doi.org/10.1080/1540496X.2018.1481743

CONNING, J.; UDRY, C. Rural financial markets in developing countries. Yale University Economic Growth Center Discussion Paper: v. No. 914, 2005. https://doi.org/10.2307/3324578

DEMIRGÜC¸-KUNT, A., KLAPPER, L., SINGER, D., VAN OUDHEUSDEN, P. The Global Findex Database 2014. Measuring Financial Inclusion Around the World. Policy Research Working Paper No. 7255. The World Bank, Washington, DC. 2015. 97p. https://documents1.worldbank.org/curated/en/187761468179367706/pdf/WPS7255.pdf

ESCOBAL, J.; FAVARETO, A.; AGUIRRE, F.; PONCE, C. Linkage to dynamic markets and rural territorial development in Latin America. World Development, v. 73, p. 44-55, 2015. https://doi.org/10.1016/j.worlddev.2014.09.017

GHEZZI, P. Cómo fortalecer el agrobanco y el financiamiento agropecuario: una visión productivista. Instituto Interamericano de Cooperación para la Agricultura. IICA, 2021. 40p. https://repositorio.iica.int/handle/11324/18625

GUIRKINGER, C.; BOUCHER, S. Credit constraints and productivity in Peruvian agriculture. Agricultural Economics, v. 39, n. 3, p. 295-308, 2008. https://doi.org/10.1111/j.1574-0862.2008.00334.x

GUJARATI, D. N.; PORTER, D. Basic Econometrics. 5 th Ed. New York: McGraw Hill Inc., 2009. 922p. https://search.worldcat.org/es/title/226356768

HAIR, J.; BLACK, B.; BABIN, B.; ANDERSON, R. Multivariate Data Analysis: Global Edition. 7th ed. Harlow: Pearson Education, 2010. 665p. https://search.worldcat.org/es/title/855545532

INEI. IV Censo Nacional Agropecuario 2012. 2014. http://inei.inei.gob.pe/microdatos/

INEI. Encuesta Nacional Agropecuaria 2015. 2016. Retrieved from http://iinei.inei.gob.pe/microdatos/

INEI. Encuesta Nacional Agropecuaria 2016. 2017. Retrieved from http://iinei.inei.gob.pe/microdatos/

INEI. Encuesta Nacional Agropecuaria 2017. 2018. Retrieved from http://iinei.inei.gob.pe/microdatos/

INEI. Encuesta Nacional Agropecuaria 2018. 2019. Retrieved from http://iinei.inei.gob.pe/microdatos/

INEI. Encuesta Nacional Agropecuaria 2019. 2020. Retrieved from http://iinei.inei.gob.pe/microdatos/

JANVRY, A.; DE SADOULET, E.; MCINTOSH, C.; WYDICK, B.; LUOTO, J.; GORDILLO, G.; SCHUETZ, G. Credit bureaus and the rural microfinance sector: Peru, Guatemala, and Bolivia. Collaborative Research Support Program. The University of California and The FAO Office for Latin America. 2003. 129p. http://crsps.net/wp-content/downloads/BASIS/Inventoried 2.27/13-2003-7-115.pdf

KHANDKER, S.; KOOLWAL, G. Does institutional finance matter for agriculture? evidence using panel data from Uganda. Policy Research Working Papers, 2014. https://doi.org/10.1596/1813-9450-6942

LINH, T.; LONG, H.; CHI, L.; VAN, L.; LEBAILLY, P. Access to rural credit markets in developing countries, the case of Vietnam: A literature review. Sustainability, v. 11, n. 5, p. 1-18, 2019. https://doi.org/10.3390/su11051468

MOAHID, M.; MAHARJAN, K. Factors affecting farmers’ access to formal and informal credit: Evidence from rural Afghanistan. Sustainability, v. 12, n. 3, p. 1-16, 2020. https://doi.org/10.3390/su12031268

OKORUWA, V.; ABASS, A.; AKIN-OLAGUNJU, O.; AKINOLA, N. Does institution type affect access to finance for cassava actors in Nigeria? Journal of Agriculture and Food Research, v. 2, e100023, 2020. https://doi.org/10.1016/j.jafr.2020.100023

PAL, D.; LAHA, A. Credit off-take from formal financial institutions in rural India: quantile regression results. Agricultural and Food Economics, v. 2, n. 1, a9, 2014. https://doi.org/10.1186/s40100-014-0009-y

PEDROSA, J.; DO, Q. How does geographic distance affect credit market access in Niger. Policy Research working paper ; no. WPS 4772 Washington, D.C. : World Bank Group. 2008. http://documents.worldbank.org/curated/en/534711468288946769/How-does-geographic-distance-affect-credit-market-access-in-Niger.

PETERSEN, M.; RAJAN, R. Does distance still matter? The information revolution in small business lending. Journal of Finance, v. 57, n. 6, p. 2533-2570, 2002. https://doi.org/10.1111/1540-6261.00505

PHIRI, A.; CHIPETA, G.; CHAWINGA, W. Information behaviour of rural smallholder farmers in some selected developing countries: A literature review. Information Development, v. 35, n. 5, p. 831-838, 2019. https://doi.org/10.1177/0266666918804861

PRIETO, G.; TORERO, D.; RONDÓN, G.; HUAIRE, C. Nuevas herramientas para analizar la ocupación del territorio peruano: hacia un cambio de paradigma en la gestión pública. Espacio y Desarrollo, v. 38, p. 1-32, 2021. https://dialnet.unirioja.es/descarga/articulo/8617550.pdf

RAMOS-SANDOVAL, R.; LARA, R. Geographic Data Science for Analysis in Rural Areas: A Study Case of Financial Services Accessible in the Peruvian Agricultural Sector. In: Silhavy, R., Silhavy, P. (eds) Artificial Intelligence Application in Networks and Systems. CSOC 2023. Lecture Notes in Networks and Systems, v. 724, p. 246-259, 2023. https://doi.org/10.1007/978-3-031-35314-7_24

SCHEJTMAN, A.; BERDEGUÉ, J. Rural Territorial Development. Programa Dinámicas Territoriales Rurales, Issue March, 2004. https://rimisp.org/wp-content/files_mf/13663830272004_schejtman_berdegue_rural_territorial_development.pdf (Documento de Trabajo, 4)

SIMTOWE, F.; DIAGNE, A.; ZELLER, M. Who is credit constrained? Evidence from rural Malawi. Agricultural Finance Review, v. 68, n. 2, p. 255-272, 2008. https://doi.org/10.1108/00214660880001229

TRIVELLI, C.; IEP. Finanzas agropecuarias: Desafío pendiente en la agenda agraria en Perú. LAC Working Paper 15. Washington, DC: International Food Policy Research Institute (IFPRI), 2021. 35p. https://doi.org/10.2499/p15738coll2.134248

TRIVELLI, C.; CABALLERO, E. ¿Cerrando brechas?: las estrategias nacionales de inclusión financiera en América Latina y el Caribe. Instituto de Estudios Peruanos. 2018. 110p. http://repositorio.iep.org.pe/handle/IEP/1132

TRIVELLI, C.; VENERO, H. Banca de desarrollo para el agro: experiencias en curso en América Latina (Vol. 25). Instituto de Estudios peruanos-IEP. 2007. 375p. http://repositorio.iep.org.pe/handle/IEP/543

WIENER, H. Perú: un mercado incompleto de servicios financieros al agro. Pensamiento Crítico, v. 26, n. 1, p. 5-38, 2021. https://doi.org/10.15381/pc.v26i1.20222

Downloads

Publicado

2024-05-02

Edição

Seção

Desenvolvimento Rural / Rural development

Como Citar

WHY DO SMALL FARMERS HAVE LESS ACCESS TO CREDIT? A MICRODATA ANALYSIS OF THE PERUVIAN CASE. (2024). Nativa, 12(2), 215-225. https://doi.org/10.31413/nat.v12i2.16758