Impacto del crédito sobre los productores de café en Colombia

Echavarría-Soto, Juan José; Villamizar‐Villegas, Mauricio; McAllister-Harker, Daniela; Echavarría, Juan José

doi:10.32468/be.1019

Cited by 6 publications

(14 citation statements)

References 14 publications

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“…29 Nuevamente, hay que tener en cuenta que el efecto del crédito sobre los cultivos transitorios se acerca más al efecto causal en el que estamos interesados, mientras que el impacto sobre los cultivos anuales y permanentes puede reflejar un incremento delárea sembrada que, por características biológicas del cultivo, no puede verse reflejado en la cantidad producida en el mismo año en el que se recibe crédito. 30 En este caso y otros, nuestro ATT puede estar capturando tanto el impacto del crédito como el del enforcement, como mencionan Echavarría et al (2016b).…”

Section: Rendimientounclassified

“…La primera, con el fin de tener datos más detallados del tipo de crédito y el acceso a financiamiento formal de quienes han solicitado crédito bajo esta modalidad 4 . La segunda, para identificar plenamente a los cafeteros, con el fin de corroborar los resultados encontrados por Echavarría et al (2016b).…”

Section: Introductionunclassified

“…Además, Gutiérrez y Marín (2016) analizan el impacto de las políticas públicas que incentivan el crédito como AIS y el DRE 5 . Porúltimo, Echavarría et al (2016b) encuentran un impacto positivo del crédito sobre variables de las fincas y el nivel de vida de los productores, utilizando datos del SICA y del SISBEN.…”

Section: Introductionunclassified

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Impacto del crédito sobre el agro en Colombia : evidencia del nuevo Censo Nacional Agropecuario

Echavarría-Soto¹,

Villamizar‐Villegas²,

Restrepo-Tamayo³

et al. 2017

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ResumenEste trabajo utiliza, por primera vez, los microdatos del Censo Nacional Agropecuario del 2014 para evaluar el impacto del otorgamiento de crédito en el sector agropecuario. A través de un análisis de Propensity Score Matching, se estudia el efecto en algunas variables que son de interés para los formuladores de políticas públicas, entre ellas el rendimiento de la finca, medido en toneladas de producción por hectárea, y elÍndice de Pobreza Multidimensional (IPM).En general, los resultados sugieren que los diversos tipos de crédito tienen un efecto positivo y significativo sobre el rendimiento (entre 3% y 28%), el cual es explicado principalmente por el impacto sobre los cultivos de ciclo más corto (transitorios). Por otra parte, el otorgamiento del crédito, con algunas excepciones notables, reduce elíndice de pobreza en una magnitud de 0.3 puntos porcentuales. Este efecto es similar entre cultivos con diferentes ciclos de producción.Palabras Clave: crédito, rendimiento, pobreza, crédito agricola, propensity score matching Clasificación JEL: Q140, Q150

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Section: Rendimientounclassified

Section: Introductionunclassified

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Impacto del crédito sobre el agro en Colombia : evidencia del nuevo Censo Nacional Agropecuario

Echavarría-Soto¹,

Villamizar‐Villegas²,

Restrepo-Tamayo³

et al. 2017

Self Cite

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“…The available studies that focus on public credit programs aimed at SMEs include those of Echavarría, McAllister, and Villamizar-Villegas (2017), who study the impact of credit programs on coffee producers in Colombia 10 ; Eslava, Maffioli, and Meléndez (2014), who study the effects of public lending through a second-tier DFI in Colombia; IDB (2014) andDe Negri, et al (2011), who look at the impacts of public lending for SMEs in Brazil; and Bueso- Merriam et al (2016), who investigate the impact of a public-backed credit program in Argentina directed at firms of various sizes. Furthermore, Banerjee and Duflo (2014) estimate the impact of a credit expansion by a public bank for medium-sized enterprises in India; Zia (2007) investigates the impact of a reduction in subsidized credit on private firms; and Jiménez et al (2017) estimate the effects of government lending on firms during an episode of credit crunch.…”

Section: Introductionmentioning

confidence: 99%

Liquidity or Capital?: The Impacts of Easing Credit Constraints in Rural Mexico

Aparicio¹,

Bobic

Olloqui

et al. 2021

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This paper evaluates the effectiveness of easing credit constraints for rural producers in Mexico through loans provided by a national public development finance institution. In contrast to most of the existing literature, the study focuses on the effect of medium-sized loans over a two- to four-year time horizon. This paper looks at the effects of such loans on production and investment decisions, input use, and yields. Using a multiple treatment methodology, it explores the differential impacts of providing liquidity for working capital versus providing credit for investments in fixed assets. It finds that loans increased the likelihood that producers grow and sell certain key annual crops, in particular among recipients of working capital loans. It also finds significant effects on production value and sales (per hectare), with similar impacts for recipients of both types of loans, with gains in yields driven by changes in labor quality and more intensive use of key inputs. There is no evidence of significant effects on the purchase of large machinery, but there are impacts on the acquisition of cattle. Overall, the results reported in this paper suggest that lack of liquidity is at least as important as lack of funding for new investment in capital for rural producers in Mexico. Producers benefit from easing their credit constraints, regardless of the type of loan used for that purpose.

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“…The available studies that focus on public credit programs aimed at SMEs include those of Echavarría, McAllister, and Villamizar-Villegas (2017), who study the impact of credit programs on coffee producers in Colombia 10 ; Eslava, Maffioli, and Meléndez (2014), who study the effects of public lending through a second-tier DFI in Colombia; IDB (2014) andDe Negri, et al (2011), who look at the impacts of public lending for SMEs in Brazil; and Bueso-Merriam et al (2016), who investigate the impact of a public-backed credit program in Argentina directed at firms of various sizes. Furthermore, Banerjee and Duflo (2014) estimate the impact of a credit expansion by a public bank for medium-sized enterprises in India; Zia (2007) investigates the impact of a reduction in subsidized credit on private firms; and Jiménez et al (2017) estimate the effects of government lending on firms during an episode of credit crunch.…”

Section: Introductionmentioning

confidence: 99%