Irene S. Egyir

Assessing the factors of adoption of agrochemicals by plantain farmers in Ghana

Purpose - The purpose of this paper is to identify and assess the key factors that influence the adoption of agrochemicals on plantain farms in Ghana. Design/methodology/approach - The paper employs probit estimation using data from a stratified random sample of 249 farmers in four districts in Ghana. Findings - The results show that adoption of agrochemicals is positively associated with: being literate, older than 40 years of age, having higher income from sales, living in villages distant to Accra (capital of Ghana), having access to hi-tech machinery, being migrant, and being linked to extension services and financial institutions. Contrary to expectation, a farmers gender and association with farmer-based organizations (FBO) and non-governmental organizations (NGO) did not make a difference. Practical implications - The results suggest that there are no exclusions to innovation systems such as agrochemical adoption based on gender or living in rural areas; women are just as technologically empowered as men, while rural farmers have an option to retain their indigenous management practices or adopt new and improved practices such as using agrochemicals. Major efforts to improve access to agrochemical adoption lie with government extension officers, as the functions of FBO and NGO have yet to make a significant difference. More needs to be done to bring young, illiterate, low income and indigene farmers into inclusive plantain science techniques and applications in Ghana. Originality/value - The paper reveals how vulnerable groups such as rural populations and women plantain farmers are being included in systems that support agrochemical adoption.

Agricultural credit rationing in Ghana: what do formal lenders look for?

Purpose - – The purpose of this paper is to investigate the determinants of agricultural credit rationing by formal lenders in Ghana. Design/methodology/approach - – This study employed descriptive statistics, analysis of variance (ANOVA) and Heckmans two-stage regression model to identify types of rationing faced by farmers and investigate factors that influence agricultural credit rationing by formal financial institutions. Data used in this study are gathered through a survey of 595 farmers in seven districts within Brong Ahafo Region of Ghana. Findings - – The result reveals that farmers face three types of rationing. Evidence from the Heckman two-stage models shows that engagement in off farm income generating activities, increase in farm size, positive balances on accounts and commercial orientation of the farmers has the potential to reduce rationing of credit applicants by formal lenders. Practical implications - – The results provide information on the factors that need to be considered as important in an attempt to reduce agricultural credit rationing by formal lenders. Originality/value - – The value of this study is that farmers would use the results of this study to improve access to required amount of agricultural credit from formal financial institutions. The information would also benefit stakeholders in the agricultural sector, particularly youth in agriculture program organized by Ministry of Food and Agriculture in Ghana as how to improve access to credit and reduce rationing of program participants by formal financial institutions.

Farm household level impacts of information communication technology (ICT)-based agricultural market information in Ghana

This paper assesses the impact of the information communication technology (ICT)-based market information service (MIS) on farm households in the eastern corridor of Northern Ghana. Data was collected from 346 farm households in the eastern corridor of Northern Ghana where an ICT-based market information project was implemented between 2006 and 2009. The sample included 159 participants and 187 non-participants. The logit model was used to identify factors which influence the probability of participation in the ICT market information project, while propensity score matching (PSM) was used to assess the project impact. Results indicate that age and value of assets were negatively related to the likelihood of participation in ICT-based MIS. A unit increase in age reduced likelihood of participation by 0.5%, while a unit increase in value of assets reduces likelihood of participation by 7%. Previous participation in a development project increased likelihood of participation by more than 60%. Participation in the ICT-based project increased expenditure on pesticides, and food security by 11%. More participants (13%) used improved seed than nonparticipants. It is recommended that younger persons are made the target/focus group for ICT projects and that the private and public sectors collaborate to facilitate wide availability and expanded use of ICT MIS.

Gender dimensions of climate change adaptation practices: the experiences of smallholder crop farmers in the transition zone of Ghana

Abstract This paper discusses the gender dimensions of climate change adaptation strategies among small holder crop farmers in the transition zone of Ghana. A total of 612 farmers (328 females and 284 males) were interviewed using purposive sampling technique. Our results indicate that adaptation strategies are gendered with men mostly resorting to on-farm agronomic practices such as the use of artificial fertilizers and also moving into new cash crops. Female farmers also use similar on-farm agronomic practices particularly artificial fertilizers to boost crop production but most importantly resorted to petty trading in agricultural and consumable goods, an off-farm strategy. This shows women’s resilience which has also subsequently improved their decision-making role at the household level, which is an indicator of empowerment. We recommend that institutions that support climate change adaptation initiatives at the local level must take gender differences into consideration and support particularly women to strengthen their resilience and consolidate their empowerment.

Agricultural credit provision: What really determines farmers’ participation and credit rationing?

Purpose - The purpose of this paper is to analyze determinants of farmers’ participation and credit rationing in microcredit programs using survey data from Ghana. Design/methodology/approach - The authors use the Garrett Ranking Technique to analyze farmers’ reasons for participation or non-participation in credit programs, a probit regression model to estimate factors influencing farm households’ participation, and the Heckman’s sample selection model to identify factors influencing farm households’ probability of being credit rationed by microcredit programs. Findings - The results reveal that farm households participate in credit programs because of improved access to savings services and agricultural loans. Fear of loan default and lack of savings are reasons for non-participation in credit programs. Furthermore, membership in farmer-based organizations (FBOs) and the household head’s formal education are positively associated with farmers’ participation in credit programs. The likelihood of farmers being credit rationed (i.e. their loan applications were either rejected or the amount of credit they applied for was reduced) is less likely among higher income farmers and members of FBOs such as farmer cooperatives and savings clubs. Practical implications - The findings suggest that policy strategies aiming to improve access to savings and credit services should educate farmers and strengthen FBOs that could serve as entry points for financial service providers. Such market smart strategies have the potential to improve farmers’ access to financial services and reduce rural poverty. Originality/value - Although existing studies have examined farmers’ participation in credit markets and credit rationing separately, the unique contribution of this paper is the analysis of participation in microcredit programs as well as the likelihood of farmers being credit rationed in Ghana.

Credit constraints and labour allocation decisions in rural Burkina Faso

Purpose - Credit is central in labour allocation decisions in smallholder agriculture in developing countries. The purpose of this paper is to analyse the effect of credit constraints on farm households’ labour allocation decisions in rural Burkina Faso. Design/methodology/approach - The study used a direct elicitation approach of credit constraints and applied a farm household model to categorize households into four labour market participation regimes. A joint estimation of both the multinomial logit model and probit model was applied on survey data from Burkina Faso to assess the effect of credit constraint on the probability of choosing one of the four alternatives. Findings - The results of the probit model showed that households’ endowment of livestock, access to news, and membership to an farmer-based organization were factors lowering the probability of being credit constrained in rural Burkina Faso. The multinomial logit model results showed that credit constraints negatively influenced the likelihood of a farm household to use hired labour in agricultural production and perhaps more importantly it induces farm households to hire out labour off farm. The results also showed that the other components of household characteristics and farm attributes are important factors determining the relative probability of selecting a particular labour market participation regime. Social implications - Facilitating access to credit in rural Burkina Faso can encourage farm households to use hired labour in agricultural production and thereby positively impacting farm productivity and relieving unemployment pressures. Originality/value - In order to identify the effect of credit constraints on farm households’ labour decisions, this study examined farm households’ decisions of hiring on-farm labour, supplying labour off-farm or simultaneously hiring on-farm labour and supplying family labour off-farm under credit constraints using the direct elicitation approach of credit constraints. To the best of the authors’ knowledge, this study is the first to examine this problem in Burkina Faso.

Cocoa farming households in Ghana consider organic practices as climate smart and livelihoods enhancer

BackgroundSeveral state and non-state organizations are promoting organic agriculture as a climate smart option among cocoa farmers in the Ashanti region of Ghana. In this study, flora diversity and livelihoods position in organic and conventional farming were measured and compared. The experiment included 32 households with young plantations. Jaccard similarity, Shannon (H′) and Simpson (D) diversity indices were measured to assess species similarity, abundance, evenness and dominance. The sustainable livelihoods indicators were food security, income, vulnerability and well-being.ResultsThe results showed that the species are quite similar. The H′ index for organic farms was slightly higher (0.808) than that of conventional farms (0.762); the D index (0.051) for organic was better than the conventional (0.084). The organic farmers studied had better sustainable livelihoods outcomes than the conventional farmers.ConclusionSince organic farming has more biodiversity, farmers should be encouraged to practise it to improve livelihoods outcomes and enhance climate change mitigation.

Impact of Bioenergy Crop Adoption on Total Crop Incomes of Farmers in Northern Ghana: The Case of Jatropha Curcas

The present study examines the adoption of Jatropha Curcas as a bioenergy crop in West Mamprusi and Mion districts of Northern Ghana. A gender analysis is also undertaken. Using data from 400 farmers, the study employs a propensity score matching method to analyze the impact of the adoption of Jatropha Curcas on total crop incomes of farmers. The study concludes that Jatropha adoption significantly reduces the level of crop income per hectare of farmers. The reduction is worse for women-headed households compared to men. Specifically, the Average Treatment effect on the Treated (ATT) estimate is GHC −385.23 per hectare for the whole sample. The study recommends the development of appropriate strategies and a regulatory framework to harness the potential economic opportunities from Jatropha cultivation.

Institutional factors and farmers’ adoption of conventional, organic and genetically modified cotton in Burkina Faso

ABSTRACT Organic farming and genetically modified (GM) crops technologies are currently being promoted as alternatives to conventional farming that is seen as unsustainable. However, institutional constraints can impede the adoption of even the most sustainable technology. This paper analysed the effect of institutional factors on farmers’ adoption of conventional, organic and GM cotton in Burkina Faso. Building on the expected utility model and institutional theory, a multinomial logistic regression was performed using farmers’ survey data from the 2014–2015 production season. The results showed that subsidies on fertiliser and credit for cereals production, the power of farmers’ association and that of the cotton company favoured the adoption of conventional and GM cotton at the expense of organic cotton. In order to succeed, organic cotton projects need to include components that help farmers to access organic fertilisers for cereals production. They also need to involve the cotton companies that are the most powerful stakeholders of the cotton sector. Extension services are necessary for both organic and GM cotton adoption. Other important factors to consider include farmers’ education, the potentials of the technologies, the good agro-ecological conditions, the continued involvement of women, the availability of virgin lands and the closeness of farmers to their farms.

The green economics of conventional, organic and genetically modified crops farming: a review

There are many controversies about the relative performances of conventional farming (CF), organic farming (OF) and genetically modified crops farming (GMCF) technologies. This paper aimed to identify the overall best technology by reviewing the performances of CF, OF and GMCF from a green economics perspective. Existing literature could not allow for identification of the overall best technology because of two methodological limitations in the assessments of the performances of CF, OF and GMCF. First, most assessments did not consider all the three technologies together when assessing their performances. Second, they investigated economic, environmental and social performance indicators separately. The paper suggests a more comprehensive approach through the lenses of an integrated framework of green economic performance leading to a composite indicator, and comparisons of all three technologies. Additional guidelines are provided on statistical techniques for robust comparisons of these agricultural technologies in order to better inform policy development.