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This study identified the determinants of improved rice variety adoption and measured their impact on farm productivity and the income of smallholder farmers in Indonesia.

We used a multistage sampling procedure and data from household surveys in four districts in the Banten region of Indonesia. An endogenous switching regression (ESR) model was used to estimate the impact of adoption, and the propensity score matching (PSM) non-parametric method tested the strength of the ESR findings.

The farm productivity of adoption increased by 11.45% and the income of smallholder farmers increased by 12.10% when compared to that of traditional methods.

The positive and significant effects of improved rice variety adoption indicated that research programs that develop improved rice varieties can optimize the productivity and income of smallholder farmers.

Adopting improved rice varieties increases the productivity and income of smallholder farmers, and the level of education, rice farming experience, access to extension workers, off-farm work, and mobile phone ownership have positive and significant effects on the adoption of improved rice varieties.

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.

Various models and approaches are implemented to provide technical assistance and support to improve cocoa farmers' welfare in Ghana. The Farmer Business School (FBS), which is analogous to Farmer Field School (FFS), is one of the few initiatives of GIZ (Deutsche Gesellschaft für Internationale Zusammenarbeit) and Ghana Cocoa Board (COCOBOD). The main aim of the initiative is to train smallholder cocoa farmers to perceive cocoa production as a business. However, there is limited or conflicting evidence as to the effect of FBS on productivity and food security, especially in Ghana. This study assessed FBS participation and the participation's impact on productivity and food security of cocoa farmers.

The study used primary data collected from 542 cocoa farmers in Central and Western North regions of Ghana and employed descriptive statistics, perception index and Endogenous Switching Regression (ESR) as analytical tools.

The results, which reported an overall perception index of 0.7, indicated that the farmers had a strong positive perception on the FBS program. The results also showed that sex of a farmer, number of years of formal education, farm size, extension contact, perception, distance to extension outlet and membership of farmer-based organizations (FBOs) significantly influenced the decision to participate in FBS program. Also off-farm income, years of education and household size significantly influenced farm productivity and household food security. The results further showed that participation in FBS improved productivity and food security of cocoa farmers.

The study used data from two regions of Ghana, namely the Central region and the Western North region. Findings from studies using data covering all cocoa growing areas of Ghana could be more informative in formulating policies aimed at encouraging participation in FBS and consequently help improve cocoa productivity and food security.

This article offers insights into the welfare effects of FBS on cocoa farmers as previous similar studies are without this information.

This study aims to investigate the impact of Internet use on household financial market participation and portfolio choice.

Based on the Chinese General Social Survey 2017 (CGSS2017), this study empirically explores whether Internet use affects household financial market participation in China with an Endogenous Switching Probit model.

The results show that households using the Internet are more likely to invest in financial markets. Further research shows that households with high Internet use are significantly more likely to participate in financial markets than households with low Internet use. From the perspective of household portfolio choice, Internet use has a certain role in increasing the probability of portfolio diversification. However, among households that have invested in financial markets, those with a high-frequency use of the Internet do not show an impact on portfolio diversification.

This study complements existing research about the impact of Internet use or not on household financial market decisions and portfolio choice, expands the knowledge on the household financial market choice from the respective of the degree of Internet use.

This article analyzes the determinants of credit constraints and their effects on the productivity of micro-firms in Colombia.

An Endogenous Switching Regression Model (ESRM) is estimated to analyze credit constraint impact on economic performance.

The results show that owner characteristics such as age and gender decrease the likelihood of being constrained. Firms' characteristics, such as legal status, the formality of the employees, commercial property and savings, are important for reducing credit constraints.

This article discusses how formal credit restrictions harm the economic performance of Colombia's micro-firms. The results show that the productivity of the micro firms in Colombia could increase, on average, by U$ 825 USD when all types of restrictions are eliminated.

After a long observation of the high rate of rice importation and low productivity in Côte d’Ivoire, the certified rice seed was introduced and encouraged to be used by the local farmers. This study evaluates the profitability of rice production and the impact of certified seed usage on the yield and income of farmers in Côte d’Ivoire.

Data were collected from 265 rice farmers. Descriptive statistics were used to identify the challenges faced in using certified seeds. Profitability analysis was used to examine the profitability of rice production. To eliminate bias due to the counterfactuals, the endogenous switching regression was employed to investigate the impact of the certified seeds on income and yield.

The difficulties faced by the rice farmers in the procurement of certified seeds were the unavailability of seeds, the high cost of seeds and poor credit access. Furthermore, rice farmers using certified seeds get a higher net income (USD 263.74/ha) than those using farmers' seeds (USD 212.31/ha). The average treatment on the treated was 1.61 for the yield and 574.75 for the income. The average treatment on the untreated was 1.20 for the yield and 422.59 for the income. These indicate a higher yield and income among adopters of certified rice seed.

Certified rice seed usage is profitable and enhances the output and income of rice farmers. The study advocates the creation of a stronger relationship between the farmers and the extension agents to encourage the use of certified seeds and increase the profit of the farmers.

There is scant information on the profitability of certified rice seed usage and how it affect yield and income. Therefore, this study serves as empirical evidence for policymakers to develop strategies that are required to enhance certified seed usage, boost rice productivity and achieve food security.

The authors investigated cocoa farmers' access to subsidized fertilizer in Ghana and implications on productivity.

Primary data were sourced from 435 cocoa farmers. Cragg hurdle and two-step Tobit model with continuous endogenous regressors/covariates were applied for the drivers of cocoa farmers' participation in fertilizer subsidy programme and productivity. Propensity score matching (PSM), inverse-probability weights (IPW) and augmented inverse-probability weights (AIPW) were applied for productivity impact assessment of fertilizer subsidy.

All the farmers were aware of fertilizer subsidy for cocoa production in Ghana. Farmers became aware of fertilizer subsidy through extension officers, media and other farmers. Half of cocoa farmers benefitted from fertilizer subsidy. Averagely, cocoa farmers purchased 292 kg of subsidized fertilizer. Many socio-economic, farm-level characteristics and institutional factors determine cocoa farmers' participation in fertilizer subsidy programme, quantity of subsidized fertilizer obtained and productivity. Beneficiaries of fertilizer subsidy recorded higher cocoa productivity than non-beneficiaries. Hence, fertilizer subsidy for cocoa production in Ghana leads to a gain in productivity.

There should be more investments in fertilizer subsidy so that all cocoa farmers benefit and obtain the required quantities.

The authors provide new evidence on cocoa productivity gain or loss emanating from fertilizer subsidy by combining different impact assessment techniques for deeper analysis: PSM, IPW and AIPW.

This study aims to examine farmers' decision to use smartphone agricultural applications (SAAs) and how SAAs adoption impact their land transfer behaviors in terms of the current land transfer-in area (LTA) and the future willingness to renew land transfer-in after it expires (WTR).

This study provides empirical evidence on the relationship between farmers' use of SAAs and land transfer choice, using a field survey data of 752 rural farm households in 2020 from Sichuan province of China. The endogenous switching models are employed to address potential self-selection bias associated with voluntary SAAs use and to quantitatively examine the impacts of SAAs use on land transfer choice.

The empirical results reveal that SAAs significantly improves the probability of transfer-in of more land by 39.10%. We find SAAs use has heterogeneous impacts on land transfer-in choice in the groups of agricultural technology, extension service, marketing and credit. Besides, we also find that SAAs use exerts highly positive and significant impact on farmers with less land area transfer-in. Moreover, SAAs can increase the probability of farmers' willingness to renew the land transfer-in by 30%.

To the best of our knowledge, this study is the first to explore the quantitative relationship between the use of SAAs and farm households' land transfer choice. The findings of this work can provide policy-related insights to help government promote the development of digital applications in the agricultural sector.

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.

Attaining the Sustainable Development Goal 2 (SDG2) of zero hunger continues to be a challenge in most parts of Sub-Saharan Africa. However, financial inclusion is seen as a potential pathway for reducing food insecurity among poor households. Mobile money is a financial inclusion instrument that is easily accessible to poor households and has the potential to increase the level of financial inclusion. This paper contributes to the literature by examining the determinants of mobile money adoption, its effects on household food security and the choice of coping strategies in Burundi, a post-conflict and fragile country.

Using survey data that involved 860 households in Burundi, we adopted the Household Hunger Scale (HHS) developed under the Food and Nutrition Technical Assistance Project to measure household food security. We further employ the endogenous switching regression treatment effects model for ordered outcomes and the multivariate probit model to achieve our aims.

The results of our study reveal that the adoption of mobile money is influenced by factors such as gender, marital status, age, formal education, membership in a social network, area of residence and access to a tarred road network. Additionally, the food security status of a household was determined by marital status, formal education, social network membership, access to tarred roads, off-farm income, access to credit and land tenure security. We confirm that mobile money adoption has a significantly positive effect on the food security status of households with heterogeneity in gender and area of residence. We also find that mobile money adoption reduces the likelihood of households adopting consumption-related coping strategies.

The promotion of mobile money should, therefore, be included in Burundi’s national food security policies.

This study contributes to the literature by providing empirical evidence on the effect of mobile money adoption on household food security and the choice of coping strategies in a post-conflict context.