Skip to content
Research Article Open access CC BY 4.0

Factors Influencing Participation of Cocoa Farmers in the Government Spraying Programme in Ghana

Abdallah Abdul-Hanan, Benjamin Tetteh Anang

Asian Journal of Agricultural Extension, Economics & Sociology · pp. 1–9 · Published 23 Jan 2018

10.9734/AJAEES/2018/38842

Abstract

The study assessed the factors influencing participation of cocoa farmers in the government spraying programme in Ghana using cross-sectional data obtained by interviewing respondents with the aid of a questionnaire. A probit model was employed to analyse the determinants of farmer participation in the programme. The study revealed that participation in the spraying programme was higher for the following: male farmers, producers with more years of farming experience, farmers with more extension contacts, and respondents with smaller families. Furthermore, the interaction term for gender and farming experience showed that being an experienced male farmer decreased the probability of participation in the programme relative to an experienced female farmer. The study recommends the expansion of the government cocoa spraying programme to cover farmers who were unable to participate. In particular, addressing the factors inhibiting the participation of female farmers as well as improving extension service delivery to producers will enhance the effectiveness of the programme.

Cocoa production probit model spraying programme Ghana

Cited by 4

Hand pollination, mass spraying, and hybrid seedlings: Do these technologies affect the welfare of smallholder cocoa farmers in Ghana?

Bright O. Asante, Kwabena N. Addai, Stephen Prah · Review of Development Economics · 2023

Cocoa eats the food: expansion of cocoa into food croplands in the Juabeso District, Ghana

Ebunoluwa O. Ajagun, George Ashiagbor, Winston A. Asante · Food Security · 2021

Planting for food and jobs participation and its impact on maize productivity in Ghana: implications for research and policy

Edward A. Awafo, Ernest Christlieb Amrago, Emmanuel Amankwah · Cogent Social Sciences · 2024

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

4

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

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.