Adoption and income effects of agricultural extension in northern Ghana

Benjamin Tetteh Anang, Stefan Bäckman, Timo Sipiläinen

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

Sammanfattning

Relying on cross-sectional data from 300 smallholder rice farmers, the study examined the effects of agricultural extension on improved rice variety adoption and farm income in northern Ghana. A recursive bivariate probit (RBP)11RBP – Recursive bivariate probit. model was used to assess the effect of agricultural extension on adoption while regression with endogenous treatment effect model (RETEM)22RETEM – Regression with endogenous treatment effect model. was adopted to evaluate the effect of agricultural extension on farm income. The results indicate a statistically significant effect of agricultural extension on both adoption and farm income. According to the RETEM model, farm income of participants in agricultural extension increased by GH¢916 relative to non-participants. The study highlights significant factors affecting adoption and farm income and provides insight into measures to enhance technology adoption and farm income among smallholder agrarian households in Ghana and other developing countries.
Originalspråkengelska
Artikelnummere00219
TidskriftScientific African
Volym7
ISSN2468-2276
DOI
StatusPublicerad - 14 nov 2020
MoE-publikationstypA1 Tidskriftsartikel-refererad

Vetenskapsgrenar

  • 4111 Jordbruksvetenskap

Citera det här

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title = "Adoption and income effects of agricultural extension in northern Ghana",
abstract = "Relying on cross-sectional data from 300 smallholder rice farmers, the study examined the effects of agricultural extension on improved rice variety adoption and farm income in northern Ghana. A recursive bivariate probit (RBP)11RBP – Recursive bivariate probit. model was used to assess the effect of agricultural extension on adoption while regression with endogenous treatment effect model (RETEM)22RETEM – Regression with endogenous treatment effect model. was adopted to evaluate the effect of agricultural extension on farm income. The results indicate a statistically significant effect of agricultural extension on both adoption and farm income. According to the RETEM model, farm income of participants in agricultural extension increased by GH¢916 relative to non-participants. The study highlights significant factors affecting adoption and farm income and provides insight into measures to enhance technology adoption and farm income among smallholder agrarian households in Ghana and other developing countries.",
keywords = "Agricultural extension, Farm income effect, Improved variety adoption, Smallholder farmers, 4111 Agronomy",
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Adoption and income effects of agricultural extension in northern Ghana. / Anang, Benjamin Tetteh; Bäckman, Stefan; Sipiläinen, Timo.

I: Scientific African, Vol. 7, e00219, 14.11.2020.

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer review

TY - JOUR

T1 - Adoption and income effects of agricultural extension in northern Ghana

AU - Anang, Benjamin Tetteh

AU - Bäckman, Stefan

AU - Sipiläinen, Timo

PY - 2020/11/14

Y1 - 2020/11/14

N2 - Relying on cross-sectional data from 300 smallholder rice farmers, the study examined the effects of agricultural extension on improved rice variety adoption and farm income in northern Ghana. A recursive bivariate probit (RBP)11RBP – Recursive bivariate probit. model was used to assess the effect of agricultural extension on adoption while regression with endogenous treatment effect model (RETEM)22RETEM – Regression with endogenous treatment effect model. was adopted to evaluate the effect of agricultural extension on farm income. The results indicate a statistically significant effect of agricultural extension on both adoption and farm income. According to the RETEM model, farm income of participants in agricultural extension increased by GH¢916 relative to non-participants. The study highlights significant factors affecting adoption and farm income and provides insight into measures to enhance technology adoption and farm income among smallholder agrarian households in Ghana and other developing countries.

AB - Relying on cross-sectional data from 300 smallholder rice farmers, the study examined the effects of agricultural extension on improved rice variety adoption and farm income in northern Ghana. A recursive bivariate probit (RBP)11RBP – Recursive bivariate probit. model was used to assess the effect of agricultural extension on adoption while regression with endogenous treatment effect model (RETEM)22RETEM – Regression with endogenous treatment effect model. was adopted to evaluate the effect of agricultural extension on farm income. The results indicate a statistically significant effect of agricultural extension on both adoption and farm income. According to the RETEM model, farm income of participants in agricultural extension increased by GH¢916 relative to non-participants. The study highlights significant factors affecting adoption and farm income and provides insight into measures to enhance technology adoption and farm income among smallholder agrarian households in Ghana and other developing countries.

KW - Agricultural extension

KW - Farm income effect

KW - Improved variety adoption

KW - Smallholder farmers

KW - 4111 Agronomy

U2 - 10.1016/j.sciaf.2019.e00219

DO - 10.1016/j.sciaf.2019.e00219

M3 - Article

VL - 7

JO - Scientific African

JF - Scientific African

SN - 2468-2276

M1 - e00219

ER -