Impacts of Farm Business of School (FBS) Intervention on The Income of The Cocoa Farmers in Nigeria
Ademola Adegoroye, Temitope Abiodun Oluwalade, Adegoke Abidemi Adeyelu, Oluwatosin Ayotomide Olorunfemi, Christianah Mope
Asian Journal of Agricultural and Horticultural Research · pp. 44–57 · Published 22 Jan 2024
10.9734/ajahr/2024/v11i1304Abstract
This study was designed to empirically investigate the impacts of Farm Business School (FBS) intervention on the income of cocoa farmers in some selected states in Nigeria. Primary data were collected through direct personal interviews, and with the use of a well-structured questionnaire from 300 sampled cocoa farmers. The data analytical techniques employed in this study include descriptive statistics, endogenous switching regression (ESR) and propensity score matching (PSM). The results from the descriptive statistics for participants and non-participants showed that most of the farmers were relatively old given life expectancy in Nigeria as 52 years. Participants and non-participants in the study area had a mean age of 54 years. The cocoa farming has been dominated by male farmers. The result of ESR was based on the average treatment effects of participants in FBS on income, and this shows that participation in FBS increases income significantly, and farmers that did not participate would have benefited significantly had they participated in FBS. PSM analysis indicated that participants in Farmers Business School and The PSM results imply that FBS training has increased the income of participants by 343,950.84 point. The results showed that participating in Farmers Business School leads to significant gains and impacts on income of cocoa farmers. Also, variables like level of education, farm size, amount of credit obtained, household size, and number of visits by extension agents have a significant impact on the level of participation. Therefore, research institutes and other agencies of government should improve upon their services of creating awareness for cocoa farmers to encourage the participation of more farmers in the training programme to have increased income. The combination of ESR and PSM analysis will also add value and contribute to the literature on the best approach to address impact analysis.
References (22)
- 1 Determinants of farmers’ choice of adaptation methods to climate change in the Nile Basin of Ethiopia [DOI]
- 2 International Food Policy Research Institute [DOI]
- 3 Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh [DOI]
- 4 Economic development and cultural change
- 5 Farm-Level Adaptation to Climatic Variability and Change: Crop Diversification in the Canadian Prairies [DOI]
- 6 The determinants and economic impacts of membership in coffee farmer cooperatives: recent evidence from rural Ethiopia [DOI]
- 7 Virginia Farmers' Soil Conservation Decisions: An Application of Tobit Analysis [DOI]
- 8 The impact of agricultural extension services in the context of a heavily subsidized input system: The case of Malawi [DOI]
- 9 Tradeoffs and complementarities in the adoption of improved seeds, fertilizer, and natural resource management technologies in Kenya [DOI]
- 10 Resistance Theory and the Transculturation Hypothesis as Explanations of College Attrition and Persistence Among Culturally Traditional American Indian Students
- 11 Determinants of food security and technical efficiency of cassava farmers in Ondo State, Nigeria [DOI]
- 12 Determinants of market participation and preference for production of pepper (Capsicum spp.) among farmers in southwest, Nigeria [DOI]
- 13 Socioeconomic impacts of flooding and its coping strategies in Nigeria: Evidence from Dagiri community, Gwagwalada area council of Abuja [DOI]
- 14 Performance evaluation of cocoa marketing in Osun State, Nigeria [DOI]
- 15 Adoption of improved technologies and profitability of the catfish processors in Ondo State, Nigeria: A Cragg's double-hurdle model approach [DOI]
- 16 Does Agroforestry Technology Adoption Affect Income Inequality among Arable Crop Farmers in Southwest, Nigeria? A Gender Perspective [DOI]
- 17 Assessment of Income Inequality, Structure and Conduct of Cocoa Marketers in Osun State, Nigeria [DOI]
- 18 Stock market liquidity and volatility on the Nigerian Exchange Limited (NGX) [DOI]
- 19 PERFORMANCE OF FARM BUSINESS SCHOOL (FBS): A CASE STUDY OF COCOA FARMERS IN NIGERIA [DOI]
- 20 Weighted Transformer Network for Machine Translation [DOI]
- 21 The Impact of Farmer-Field-Schools on Knowledge and Productivity: A Study of Potato Farmers in the Peruvian Andes [DOI]
- 22 Socioeconomic impacts of flooding and its coping strategies in Nigeria: Evidence from Dagiri community, Gwagwalada area council of Abuja [DOI]
Cited by 7
Adewale Isaac Olutumise, Abiodun Festus Akinrotimi, Olanrewaju Peter Oladoyin · Tekirdağ Ziraat Fakültesi Dergisi · 2025
Odunayo Rofiyat Olaniyan, Ademola Adegoroye · European Journal of Theoretical and Applied Sciences · 2024
Vivat Keawdounglek, Warapon Paenkhokuard, Anuttara Hongthong · International Journal of Environmental Research and Public Health · 2025
Showing 3 of 7 known citations — external sources report more than can currently be individually listed.
Related research
- First Trimester Fasting Blood Glucose as a Screening Tool for Diabetes Mellitus in a Teaching Hospital Setting in Nigeria — shares topic coverage
- The Nature and Complications of Acute Traumatic Cervical Spinal Cord Injury in a University Hospital in Nigeria — shares topic coverage
- Musculoskeletal Complications of Sickle Cell Anaemia and Their Management Approaches in Makurdi, Nigeria — shares topic coverage
- Work-related Musculoskeletal Disorders among Radiologists in Nigeria — shares topic coverage
- The Skills of Cardiopulmonary Resuscitation in Some Professional and Student Teachers Compared — shares topic coverage
Article metrics
Real usage data collected on this platform.
58
Page views
0
PDF downloads
13
Outbound clicks
7
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.