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This paper aimed to examine the impacts of agricultural services on welfare of rural farmers in Ghana.

Using data from 1431 rural maize farmers, we employ multinomial endogenous switching regression and multivalued inverse probability weighted regression adjustment to assess the impacts.

Results show that 19.8%, 9.7% and 3.42% of farmers adopted solely irrigation, extension and mechanization, respectively. Furthermore, utilizing a range of agricultural services significantly improves maize yields, gross income and per capita food consumption.

This study recommends strategies that target the adoption of combinations of agricultural services to enhance rural farmers’ welfare in Ghana and other developing countries.

While agricultural services are claimed to improve agricultural production and peasants’ welfare, their impacts are not studied exhaustively. This paper contributes by providing empirical evidence of the impacts of agricultural services on farmers’ welfare.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0745.

There is much evidence in the literature showing the benefits of input market participation on farmers’ welfare. The same is true for participation in marketing. However, there are very few studies on the expected benefit of input market participation and marketing. This study fills this gap by examining the issue in the Senegalese context for food and cash crops.

The authors estimate a multinomial endogenous switching regression using a highly detailed 2017 agricultural survey in Senegal. They first identify factors that shape farmers’ decision to participate in the input market and marketing and then assess the impact of market participation choices on farmers’ profits.

The results show that the most profitable market participation regime depends on the crop under consideration. For food crops, joint participation in markets maximizes profit per hectare, while for groundnuts, the main cash crop in Senegal, participation in the input market is not necessary to maximize farm profit.

Using panel data would improve the quality of estimations (time-variant effects) and help to consider the role of risk in output and input markets.

This paper helps to characterize different profiles of farmers based on their market participation and crop choices and provide policymakers with recommendations for maximizing farmers’ profit.

This study examined the effects of adopting dairy feed technology bundles on the milk production of smallholder dairy farmers.

The study was based on Multinomial Endogenous Switching Regression (MESR) to estimate the effects of the adoption of three feed technology bundles on milk production using data collected from 518 dairy farm households in West Java, Indonesia.

The findings indicated that adopting technology bundles had positive and robust effects on milk production, with gradual positive effects between non-adoption and the adoption of different bundles of technologies.

This study focused on the association between the adoption of feed technology bundles and milk production. However, further analysis of the causal links between the adoption of feed technologies and milk production as well as the inclusion of other outcomes in the analysis, such as production costs and risk mitigation, are required.

Most of the literature on agricultural technology adoption focuses on the adoption of individual technologies, crop farming and conservation practices. Therefore, this study examined the effects of the adoption of dairy feed technology bundles.

Promoted for its inclusivity, agricultural value chain (AVC) financing leverages social capital and mechanisms such as off-take agreements and forward contracts to reduce borrowing and lending costs and risks for both farmers and lending institutions. AVC financing has been defined as the flow of financial products and services to and among the various actors within the AVC to address constraints of production and distribution and fulfill the needs of those involved in the chain by reducing risk and improving efficiency. This paper investigates how farmers' involvement in AVC affects their access to credit.

The authors collected primary data from 400 crop farmers in northern Ghana through a semi-structured questionnaire and analyzed the data, using the multinomial endogenous switching regression model.

Joint participation in AVC increased the amount of formal and informal credit received by 64 and 78%, respectively, compared to nonparticipation. Similarly, participation in AVC horizontal linkage and AVC vertical linkage increased the amount of formal and informal credit received by 40 and 47% and 46 and 74%, respectively, compared to nonparticipation. Irrigation farming, extension visits, knowledge of AVC in the community, access to a storage facility and trust in contract farming significantly influenced farmers' participation in AVC.

The authors’ work offers valuable insights into how different dimensions of value chain participation can impact smallholder farmers' access to credit. This work also underscores the importance of considering both formal and informal credit sources when analyzing the outcomes of value chain participation. The findings could enable formal financial providers to identify, liaise and/or resource informal financial players such as value chain actors to supply both formal and informal credit to farmers in AVCs.

In recent years, climate-smart agriculture (CSA) was introduced to Vietnam to enhance farmers’ resilience and adaptation to climate change. Among the climate-smart agricultural technologies (CSATs) introduced were water-saving techniques and improved stress tolerant varieties. This study aims to examine the determinants of farmers’ adoption of these technologies and the effects of their adoption on net rice income (NRI) in three provinces as follows: Thai Binh (North), Ha Tinh (Central) and Bac Lieu (South).

Determinants of adoption of CSATs and the adoption effects on NRI are analyzed by using a multinomial endogenous switching regression framework.

The results showed that gender, age, number of family workers, climate-related factors, farm characteristics, distance to markets, access to climate information, confidence on the know-how of extension workers, membership in social/agricultural groups and attitude toward risk were the major factors affecting the decision to adopt CSATs. However, the effects of these factors on the adoption of CSATs varied across three provinces. These technologies when adopted tend to increase NRI but the increase is much greater when these are combined.

It is important to consider first the appropriateness of the CSA packages to the specific conditions of the target areas before they are promoted. It is also necessary to enhance the technical capacity of local extension workers and provide farmers more training on CSATs.

This study is the first attempt to identify key determinants of adoption of CSATs either singly or in combination and the adoption effects on NRI in Vietnam.

This paper analysed survey data of 715 rice-producing households in China to assess the determinants of adoption of five mutually exclusive soil conservation practices (SCPs) and their impact on rice yield and chemical fertiliser use.

The multinomial endogenous treatment effects model was used to account for selection bias and endogeneity arising from both observed and unobserved heterogeneity.

Farms that adopted SCPs as a package experienced an increase in rice yield and decrease in chemical fertiliser use. Adoption of SCPs as a package led to a 12.0% increase in yield and 15.2% decrease in chemical fertiliser use; these results have policy implications for the non-point source pollution control in the agricultural sector. In contrast, adoption of straw retention only significantly reduced yield by 4.9% and increased chemical fertiliser use by 18.1%.

The authors evaluate and compare multi-type of SCPs, such as straw retention, deep tillage and use of organic fertiliser, separately or in combination, and their impacts on smallholder farmers’ rice yield and chemical fertiliser usage.

This study aims to examine the effect of crop diversification (CD), as a climate change adaptation strategy, on farm household’s welfare in terms of farm income and demand for labor. It explores whether adoption of CD is a win-win strategy on household income and demand for on-farm labor. It also examines the determinants of rural household’s net farm income and family labor demand.

A household-plot level data were collected in 2015 from 929 rural farm households and 4,778 plots in the Nile Basin of Ethiopia. The data comprise farm and household characteristics accompanied by geo-referenced climate data such as long-term average temperature and amount and variability of growing season rainfall. The authors estimate an endogenous switching regression model to measure the effect of CD on the farm household’s welfare, using net farm income and household labor demand as a welfare indicator.

The results indicate heterogeneous effects of climate variables on farm income between adopters and non-adopters of CD. The study also confirms the win-win effect of adoption of CD with a positive and significant effect on farm income and a reduction in demand for on-farm labor. The results suggest that adoption of CD helps improve the well-being of farm households and build a resilient agricultural system.

As the study used a cross-sectional data, it is limited to show the time effect of practicing CD on the household’s welfare.

First, the authors investigate, to their knowledge for the first time, the existence of synergy or tradeoff in the effect of CD on two dimensions of rural households’ welfare (net farm income and labor demand). Second, they investigate the heterogeneous effect of climate change adaptation strategies on the farm household’s welfare between adopters and non-adopters. This is unlike previous studies that consider climate change adaptation strategies as having a homogeneous effect. However, this approach is inappropriate since the effect of adaptation strategies is different for adopters and non-adopters.

Productivity and production risks affect the use of agricultural production practices and inputs, particularly in developing countries. This paper aims to investigate the effects of adopting drought-tolerant maize varieties (DTMVs) on farm productivity, yield variance and downside risk exposure of maize growing households of Zambia.

The study uses household survey data collected from 11 maize producing districts of Eastern, Southern and Copperbelt provinces of Zambia using a structured questionnaire. The Antle’s flexible moment-based approach was used in specifying, estimating and testing a stochastic production function. The study further applied an endogenous switching regression model to control for both observable and unobservable sources of bias.

The study revealed that DTMV adoption increases maize yield by 15 per cent and reduces the risk of crop failure: reducing yield variance by 38 per cent and exposure to downside risk by 36 per cent.

This study establishes the benefits of DTMV adoption in Zambia with regards to productivity, yield stability and downside risk in the face of climate change. Results from this study underscore the need for more concerted efforts to scale-out DTMVs for both maize productivity enhancement and for risk mitigation against weather shocks.

Climate change is an undeniable reality that threatens people’s livelihoods. Flooding and saltwater intrusion, along with the rising sea levels, are affecting agricultural and aquaculture livelihoods in Myanmar’s coastal areas. Although climate change adaptation is gaining popularity as a resilience strategy to cope with the negative effects of climate change, both agriculture- and aquaculture-farmers are more often deterred from implementing climate change adaptation strategies due to practical availability and socioeconomic barriers to adaptation. This study aims to evaluate the barriers and factors that influence farm household’ choice of climate change adaptation measures.

This study was conducted with 599 farm households (484 rice-farmers and 115 fish farmers) based in the coastal areas of Myanmar during 2021–2022 to explore the farmer’s choice of climate change adaptation measures and the determining factors. The multinomial logit regression (MLR) model was used to examine the factors influencing the farmers’ choice of climate change adaptation strategies.

The study found out that farm households use a variety of adaptation methods at the farm level, with building embankment strategy (23.4%) in agriculture and net-fencing measure (33.9%) in fish farming being the most popular adaptation strategies. Farmers’ decisions to adopt climate change adaptation strategies are influenced by factors such as distance to market, education level of the household head, remittance income and the availability of early warning information, among others. The study also discovered that COVID-19 has had an impact on the employment opportunities of household members and the income from farming as well had a consequential effect on the adoption of climate change adaptation measures. Furthermore, lack of credit (42.4%), labor shortage (52.8%), pest and disease infestation (58.9%), high input costs (81%) and lower agricultural product prices (73%) were identified as major barriers to the adoption of climate change adaptation measures by both agriculture and aquaculture farm households.

This study demonstrates that the COVID-19 pandemic and farm-level barriers are the major factors influencing farm households’ choice of climate change adaptation measures, and that removing practical farm-level barriers and encouraging the adoption of adaptation techniques as potential COVID-19 recovery actions are required. This study also highlighted that the adaptive capacity of agriculture and aquaculture farm households should be strengthened through formal and informal training programs, awareness raising, the exchange of early warning information and the development of proper credit scheme programs.

The purpose of this paper is to understand the impact of participation in sustainable agricultural intensification practices (SAIPs) on household food security status in Northwestern Ghana.

The study utilised the Household Food Insecurity Access Scale (HFIAS) indicator for the measurement of food access data from 168 households in ten communities from the Northwestern region of Ghana for the analyses. Households were categorised into participating households (treatment) and non-participating households (control). The endogenous treatment effects model was employed to evaluate the impact of participation in SAIPs training on food insecurity access scale.

The results show that participation in SAIPs training lowers, on average, the household food insecurity access by 2.95 points, approximately an 11 per cent reduction in HFIAS score. Other significant factors found to influence household food insecurity access scale are age of household head, experience in farming, total acres owned by household, income level of the household and occupation of the head of the household.

The training programme of participation in SAIPs has massive implications for food security, rural economy and farmers’ livelihoods. However, due to the unique conditions prevailing in Northwestern Ghana, the findings of this research are limited in terms of their generalisability. Future research direction in the area of SAIPs trainings and impact study replications in all qualifying rural food production areas in Ghana, which are susceptible to household food insecurity, will provide a national picture of the efficacy of SAIPs trainings on household food insecurity.

A proven means to decrease natural resource degradation, increase crops yields, and increase subsistence farmers’ income, and food security is an important intervention to resolve the seasonal food shortage, which last for five months in a typical year for agro-food-dependent farming communities in Northwestern Ghana.

Ensuring household food security improvement and environmental sustainability will help improve living standards of food producers and reduce the adverse social challenges associated with food insecure communities such as health problems due to food deficiencies, social inequalities, environmental pollution and natural resource degradation in Northwestern Ghana.

The contribution of this paper is the novel thought and approach to examine the impact of the SAIPs trainings on household food security in Northwestern Ghana using the household food insecurity access scale indicator. The study also examined the factors that affect household food security using the endogenous treatment model, which also evaluates the impact of the training programme on the outcome variable.