Enhancing sustainable agriculture: exploring the impact of credit access on cocoa farming through adoption of artificial hand pollination technology

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41340%2F25%3A103727" target="_blank" >RIV/60460709:41340/25:103727 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/s10668-024-05906-6" target="_blank" >https://doi.org/10.1007/s10668-024-05906-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10668-024-05906-6" target="_blank" >10.1007/s10668-024-05906-6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Enhancing sustainable agriculture: exploring the impact of credit access on cocoa farming through adoption of artificial hand pollination technology

Popis výsledku v původním jazyce

Artificial Hand Pollination (AHP) technology has demonstrated significant potential to enhance cocoa productivity and alleviate poverty among cocoa farmers in sub-Saharan Africa. In Ghana, a government-sponsored AHP program implemented from 2017 to 2021 led to notable yield increases; however, adoption levels among cocoa farmers remain suboptimal. High operational costs, coupled with financial constraints, are key barriers to AHP adoption. This study examines the impact of credit access on AHP adoption in Ghana's Western North Region. Data were collected from 399 cocoa farmers during the 2023 cocoa production season using a multi-stage sampling technique and a structured questionnaire. The analysis employed an endogenous switching regression (ESR) model to address selection bias and the endogeneity of credit access. The findings reveal that credit access significantly increases the likelihood of adopting AHP technology, highlighting its potential to improve cocoa productivity and farmers' incomes. A robustness check using the propensity score matching (PSM) approach yields consistent results, confirming the positive impact of credit access on AHP adoption. Additionally, several socioeconomic factors such as farmer age, education, farm size, household composition, membership in farmer-based organizations (FBOs), age of cocoa trees, resident status, distance to extension services, access to hired labor, and cocoa yield significantly influence AHP adoption. A Tobit regression model identifies education, household labor availability, farm size, FBO membership, access to market information, cocoa yield, and credit from microfinance institutions as key determinants of credit access. The study also highlights critical barriers, including bureaucratic loan application processes limiting access, while insufficient AHP awareness undermines adoption. Policy recommendations include simplifying lending processes, empowering FBOs, and raising awareness about AHP technology. These strategies aim to enhance adoption rates, improve cocoa yields, and strengthen rural livelihoods, providing a scalable framework for other cocoa-producing regions in sub-Saharan Africa.

Název v anglickém jazyce

Enhancing sustainable agriculture: exploring the impact of credit access on cocoa farming through adoption of artificial hand pollination technology

Popis výsledku anglicky

Artificial Hand Pollination (AHP) technology has demonstrated significant potential to enhance cocoa productivity and alleviate poverty among cocoa farmers in sub-Saharan Africa. In Ghana, a government-sponsored AHP program implemented from 2017 to 2021 led to notable yield increases; however, adoption levels among cocoa farmers remain suboptimal. High operational costs, coupled with financial constraints, are key barriers to AHP adoption. This study examines the impact of credit access on AHP adoption in Ghana's Western North Region. Data were collected from 399 cocoa farmers during the 2023 cocoa production season using a multi-stage sampling technique and a structured questionnaire. The analysis employed an endogenous switching regression (ESR) model to address selection bias and the endogeneity of credit access. The findings reveal that credit access significantly increases the likelihood of adopting AHP technology, highlighting its potential to improve cocoa productivity and farmers' incomes. A robustness check using the propensity score matching (PSM) approach yields consistent results, confirming the positive impact of credit access on AHP adoption. Additionally, several socioeconomic factors such as farmer age, education, farm size, household composition, membership in farmer-based organizations (FBOs), age of cocoa trees, resident status, distance to extension services, access to hired labor, and cocoa yield significantly influence AHP adoption. A Tobit regression model identifies education, household labor availability, farm size, FBO membership, access to market information, cocoa yield, and credit from microfinance institutions as key determinants of credit access. The study also highlights critical barriers, including bureaucratic loan application processes limiting access, while insufficient AHP awareness undermines adoption. Policy recommendations include simplifying lending processes, empowering FBOs, and raising awareness about AHP technology. These strategies aim to enhance adoption rates, improve cocoa yields, and strengthen rural livelihoods, providing a scalable framework for other cocoa-producing regions in sub-Saharan Africa.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40101 - Agriculture

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY

ISSN

1387-585X

e-ISSN

1387-585X

Svazek periodika

neuveden

Číslo periodika v rámci svazku

not identified

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

32

Strana od-do

—

Kód UT WoS článku

001390922500001

EID výsledku v databázi Scopus

2-s2.0-85214404698