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Contract farming (CF) is seen as a tool for creating new market opportunities hence increasing incomes for smallholder farmers. Critics, however, argue that CF is likely to pass risks to small scale farmers, thus favouring large scale farmers at the expense of smallholder farmers. The purpose of this paper is to examine the effect of CF on smallholder farmers’ income using a case study of avocado farmers in Kandara district in Kenya.

The study uses data collected from 100 smallholder avocado farmers in Kandara district in Kenya and employs an instrumental variable model (Probit-2SLS) to control for endogeneity in participation in the contract and examine the effect of CF on household, farm and avocado income.

The results indicate that participation in CF is not sufficient to improve household, farm and avocado income. Question remains regarding efficient implementation of CF arrangements to promote spill over effects on other household enterprises.

The research was carried out using farmers in Kandara district in Kenya as a case study, findings might therefore not reflect the status of CF in all countries.

The paper contributes to the growing debate on the effect of value chain upgrading strategies such as contracting on smallholder farmers’ welfare. The form of contracting studied in this paper differs from the standard contracts in that the key stakeholders (producers) are loosely enjoined in the contract through officials of their groups.

This study aims to analyze the perceptions of smallholder farmers on climate change and events and further explores climate change adaptation strategies and associated challenges. The findings provide useful information for enhancing the adaptive capacity of smallholder farmers to adjust to climate-related hazards and improve their resilience and disaster preparedness in northern Ghana.

This study uses a multistage sampling procedure and sample size of 150 farmers, the Binary Probit Model (BPM), to identify and examine the determinants of climate change adaptation strategies adopted by smallholder farmers. Also, the constraints of adaptation were analyzed using Kendall’s coefficient of concordance.

The results from the BPM and statistics of Kendall’s coefficient revealed that the farm risk level, ability to adapt, farmer’s income, age, farming experience, climate change awareness and extension visits were factors that significantly influenced the adaptation strategies of smallholder farmers (in order of importance). The majority (60%) of the farmers ranked farm risk level as the major constraint to adopting climate change strategies.

The findings of this study enhance understanding on access to relevant and timely climate change adaptation information such as an early warning to farmers during the start of the farming/rainy season to support their adaptive responses to climate change.

Soil nutrient management and fertilizer use by farmers are important for sustainable grain production. The authors examined the effect of an experimental agricultural extension program, the science and technology backyard, in promoting sustainable soil nutrient management in the North China Plain (NCP). The science and technology backyard integrates farmer field schools, field demonstrations, and case-to-case counselling to promote sustainable farming practices among rural smallholders.

The authors conducted a large-scale household survey of more than 2,000 rural smallholders. The authors used a multivariate regression analysis as the benchmark to assess the effect of the science-and-technology backyard on smallholder soil nutrient management. Furthermore, the authors used coarse exact matching (CEM) methods to control for potential bias due to self-selection and the (endogenous) switching regression approach as the main empirical analysis.

The results show that the science-and-technology backyard program increased smallholders' wheat yield by approximately 0.23 standard deviation; however, no significant increase in maize yield was observed. Regarding soil nutrient use efficiency, the authors found a significant improvement in smallholders' phosphorus and potassium use efficiencies for both wheat and maize production, and a significant improvement in nitrogen use efficiency for wheat production, but no significant improvement of nitrogen use efficiency for maize production.

This study evaluated a novel participatory agricultural extension model to improve soil nutrient management practices among smallholders. The integration of agronomists' scientific knowledge and smallholders' local contextual experiences could be an effective way to improve farmers' soil nutrient management. This study provides the first quantitative estimates based on rigorous impact assessment methods of this novel extension approach in rural China.

This article explores the potential of an emerging group of farmers in Kenya, namely the growing segment of urban-based medium-size farmers, often called “telephone farmers”. To what extent do they benefit from an emerging ecosystem to support them in operating their farms, and what does that mean for the Hidden middle of agricultural value chains, the actors between the farmers and consumers? Unlocking the potential production of telephone farmers will require more services from collectors, traders, transport firms, the storage facilities, wholesalers and processing units and retailers. Ultimately, optimized telephone farm production benefits the business of Hidden middle value chain actors, increases incomes and jobs and improves food security.

Based on a survey and in-depth interviews a profile of the telephone farmers is given and their role as innovators is analyzed. The Latia Resource Centre (LRC) provides assistance to medium-size farmers, like the telephone farmers, helping them to prepare business plans and use modern technology and contributing to an emerging ecosystem providing support to all farmers.

The article analyzes the medium-size telephone farmers. It documents the contributions of this new agricultural actor to developing value chains and a dynamic ecosystem. The paper profiles the telephone farmers first and then identifies what they need and the support they receive. The emerging innovative ecosystem impacts agricultural productivity and production and hence the development of value chains. Small farmers gain access to opportunities offered by telephone farmers, working for them as outgrower or farm worker.

The authors used a small sample of 51 farmers and covered only a two-year period.

Small farmers are being helped through the emerging eco-system and farm labor acquire skills, which they can also you on another or their own farm.

Based on the analysis an even more effective ecosystem is suggested and policy recommendations are formulated before the conclusion is drawn that these medium-size farmers contribute to innovation diffusion, inclusive value chain development and food security and are becoming part of this expanding, innovative ecosystem. Following the debate on food security the results suggest to pay more attention to the development of telephone farmers given their role in developing agricultural value chains and innovative ecosystems.

In societies with strong presence of Islam, Islamic instruments with more scope for fairness and equity can be innovatively harnessed to play an increasing role in the development process and poverty alleviation schemes. Poor smallholder farmers dominate agricultural production in many developing countries and contribute a significant portion of global food production. This paper aims to develop a scheme to improve poor smallholder farmers’ vulnerable financial situation through the application of Zakah and Salam contract, using Bangladesh as a case study. Secondary goals are to show the effect of the scheme on food security and relevance to Nigeria.

The authors explore the existing traditional modes of financing available to poor smallholders, identify their challenges and propose an appropriate Islamic financing scheme.

With the Zakah-based Salam forward contract, the proposed scheme would procure food through Institutional Demand to offer interest free financing, fair price and access to new marketing channels and reduce income uncertainty for the rural smallholders. The discussions indicate that the local food security will be enhanced through incentivized farming activities and disbursement of food from the food bank to the Zakah-eligible food insecure local people.

This proposal brings forth a potentially powerful idea that needs further empirical validation.

The religion-based Institutional Demand initiative to promote smallholder agricultural development and social protection is a novel one. The attempt to apply the framework to Nigeria context shows the potential of the framework to generalize for other Muslim developing countries with similar characteristics, especially the poorer agriculture-based countries.

The approach to integrate concepts from different disciplines so as to solve the problems facing smallholder farmers has gained momentum in recent years. However, very little is known about how word-of-mouth (WOM) dimensions can be used in agricultural marketing to explain market participation among smallholder farmers. Therefore, this study investigates the perceived usefulness of WOM in explaining smallholder farmers’ market participation.

The cross-sectional design was carried out to survey a sample of 467 smallholder farmers. This study used partial least squares structural equation modelling (PLS-SEM) in SmartPLS 4 to test hypotheses.

The results revealed that WOM dimensions such as expertise differential, strong tie and trustworthiness among smallholder farmers significantly influence the WOM message delivery. Likewise, the findings suggest that WOM message delivery significantly influences market participation among smallholder farmers. Finally, it was revealed that WOM message delivery significantly mediates the relationship between WOM dimensions and market participation.

This study provides useful insights to smallholder farmers on how to use WOM dimensions to enhance more market participation in formal markets, especially through proper WOM message delivery.

The current study solves the problem of information asymmetry among smallholder farmers through WOM. It is perhaps the first study to establish the link between WOM dimensions and market participation among smallholder farmers in the context of developing countries.

This study examines the adoption drivers of scale-appropriate mechanization in Nepal's maize-based farming systems. The authors also assess the contribution of scale-appropriate mechanization to the United Nations Sustainable Development Goals (SDGs) of zero hunger (SDG2) and no poverty (SDG1).

Propensity score matching and doubly robust inverse probability-weighted regression adjusted methods were applied to estimate the effects of mini-tiller adoption. These methods control the biases that arise from observed heterogeneities between mini-tillers users and nonusers.

The study findings show that farm size, labor shortages, draft animal scarcity, market proximity, household assets and household heads' educational level influence the adoption of mechanization in Nepal. Mechanized farms exhibited enhanced maize productivity, profits and household food self-sufficiency. Reduced depth and severity of poverty were also observed. Nevertheless, these effects were not uniform; very small farms (≤0.41 ha) facing acute labor shortages benefited the most.

The study results suggest that policymakers in developing nations like Nepal may wish to expand their emphasis on scale-appropriate mechanization to improve farm productivity and household food security, reduce poverty and contribute to the SDGs.

This first-of-its-kind study establishes the causal effects between scale-appropriate farm mechanization and SDG1 (no poverty) and SDG2 (zero hunger) in a developing nation.

Effective and flexible organizational models have become an avenue for driving smallholder competitiveness in the agricultural sector. However, little is understood about the processes by which resource-constrained actors deploy their organizational networks to generate and retain value in rapidly changing agrifood environments. This study examines the moderating effects of business contingencies on the interplay between organizational relationships and the resource-based performance of small-scale farmers in a developing country.

The authors propose a novel conceptual framework grounded in the relational view, netchain and contingency theories. Cross-sectional data obtained from 330 maize farmers in rural Zambia were analyzed using variance-based structural equation modeling, which involves mediation-moderation analysis.

The results show that all relational networks – vertical, horizontal and lateral – positively mediate the effects farm resources and social capital have on farmers' performance. However, these effects change depending on the predominant agency situations. Specifically, asymmetric power from customers and reputable competitors weakens the positive effect of closer horizontal relationships on business performance, while the positive effect of tighter informal vertical relationships on farmers' performance weakens under conditions of high affective trust. Moreover, the gender-based multigroup analyses highlight variations in the contingent relational view of men- and women-headed households.

The study relies on cross-sectional data from one agribusiness sector in Zambia, thus generalizations should be cautious.

The uniqueness of this study lies in the proposed theoretical framework and new empirical insights, which extend the scope of the relational view to small-scale farming households in developing countries.

Collaboration in agricultural value chains (AVCs) has the potential to increase smallholders’ participation in international value chains and increase their benefits from participation. This scoping review explores existing collaboration models among stakeholders of AVCs in developing countries, examines enablers and constraints of collaboration and identifies policy gaps.

We systematically searched three databases, CAB Abstracts, Econlit (EBSCO) and Agricola, for studies published between 2005 and 2023 and included 59 relevant studies on AVC collaboration.

The primary motivations for collaboration are to enhance market access and improve product quality. Key outcomes of collaboration include improvements in farmers’ welfare, market participation and increased production; only a few studies consider improved risk management as an important outcome. Robust support from government and non-governmental entities is a primary enabler of collaboration. Conversely, conflicts of interest among stakeholders and resource limitations constrain collaboration possibilities. Collaboration involving high-value crops prioritizes income increases, whereas collaboration involving staple crops focuses on improving household food security.

This study may have publication bias as unsuccessful instances of collaboration are less likely to be published.

This study is unique in highlighting collaboration models’ characteristics and identifying AVC policy and programmatic areas where private firms, farmers’ groups, local governments and donor agencies can contribute.

This article aims to investigate the financial constraints and nonlinearity of farm size growth.

Farm size growth is measured with land, labor and output using data from the Farm Accountancy Data Network (FADN) for Hungary and Slovenia. A dynamic panel model is applied to assess financial constraints and nonlinearity of farm size growth.

Results show that, except for land in Slovenia and output in Hungary, liquidity constraints are less important for farm size growth than endogenous factors based on farm size growth expectations and steady farm size restructuring. Smaller farms are growing faster than larger ones. The hypothesis that a higher level of subsidies would increase farm size is not supported for Hungary. When farms reach a certain size, the land area of the largest farms increases. Farm debts in Hungary are linked with land growth and in Slovenia with output growth.

Further research on the impact of liquidity constraints and subsidies can be conducted at a disaggregate farm-type level to examine whether there is variability in the underlying interlinkages at the farm-type specialization level.

The implication that farm size growth is dependent on initial size and that smaller farms are growing faster than bigger ones indicates that it is not necessary to favor the fastest growing smaller farms thus supports the application of a non-discriminatory farm size policy for observing farm size structural changes.

The dynamic panel econometric model that incorporates cash flow as a measure of financial constraints provides insight into farm size growth in cross-country comparison in relation to potential farm liquidity constraints, farm debt and the nonlinearity of farm size, which information is of relevance to policy makers and practitioners.