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This study assesses the extent to which integrated extension services contribute to the adoption of climate-smart agriculture (CSA) innovations within the cotton value chain in Burkina Faso.

To address the research question, a probit multivariate econometric model with sample selection is utilized. The model is applied to a random sample of farmers (n = 510), and the endogeneity is addressed through a control function approach.

The study highlights the central role of value chains, particularly in the cotton sector, in overcoming resource scarcity through integrated extension services. Findings show that smallholder farmers who benefit from sound extension services are more willing to adopt and diversify CSA technologies. These include improved seeds, conservation techniques, adapted planting dates and mechanization. This study confirms the synergistic nature of these technologies and emphasizes that effective climate risk mitigation depends on the combined adoption of CSA technologies.

The use of cross-sectional data limits the analysis of long-term farmer behavior, and due to data limitations, the focus was primarily on the contributions of cotton companies and farmers to climate risk mitigation. Future research using panel data across the value chain could provide a more robust insights for policy decision-making.

The study contributes to the existing body of knowledge by emphasizing the crucial role of integrated extension services within the cotton value chain in developing countries. This highlights the critical benefits for farmers and emphasizes the need to diversify modern technologies to effectively combat climate change and its variability in agriculture.

Numerical literature shows that agricultural insurance can affect pesticide investments, but few of them are devoted to explain how agricultural insurance affects farmers’ selection on green or traditional pesticides. This paper aims to develop a theoretical model about how agricultural insurance influences on green pesticides selections and tests our conclusions by using the data from China land economic survey (CLES) from 2020 to 2021.

We employ probit model to capture the effects of agricultural insurance on green pesticides adoption.

We indicate that green pesticides have a stronger effect on stabilizing yield and increasing income than traditional pesticides, but there are still risks disturbing farmers’ decisions on green pesticides usage. By providing premium subsidies after the farmers are affected by natural risk, agricultural insurance improves the farmers’ expected income and encourages farmers to use green pesticides. Further, we further confirm these conclusions by considering different scenarios such as climate risks, farmers’ entrepreneurship and credit constraints. We find that the effects are more salient if croplands are under higher natural risks and, farmers are equipped with entrepreneurship and formal credit. This paper implies that the agricultural insurance decoupled with green technologies also have salient positive effects on agricultural pollution control.

The potential contributions of this paper can be outlined in three aspects in detail. Firstly, this paper aims to revel the effects of agricultural insurance on pesticide selection by structuring a general theoretical model. By using the CLES data from 2020 to 2021, we confirm that agricultural insurance increases the probability for adopting green pesticides. Secondly, this paper discusses the effects of farmers’ characteristics on the results and finds that if farmers have entrepreneurship, the effects of agricultural insurance on green pesticide usage will be more salient. Thirdly, it uncovers some practices in China, which will supply experiences for other developing countries. For example, this paper further demonstrates that “insurance + credit” plan the present Chinese government carried out will be an important measure for strengthening effects of agricultural insurance on green pesticides usage. Moreover, it shows that decouple agricultural policies will also guide farmers to use green technologies eventually if the technologies are reliable and farmers can afford.

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.

Despite the susceptibility of cotton crops to pest attacks in the Malwa Region of Indian Punjab, no crop insurance policy has been implemented there– not even the Pradhan Mantri Fasal Bima Yojana (PMFBY), which is a central scheme. Therefore, this paper attempts to gauge the likely impact of the PMFBY on Punjab cotton farmers and assess the changes needed for greater uptake and effectiveness of PMFBY.

The authors have conducted a primary survey to conduct this study. Initially, the authors compared the costs of cotton production with the returns in two scenarios (with and without insurance). Additionally, the authors have applied a logistic regression framework to examine the determinants of the willingness of farmers to participate in the crop insurance market.

The study finds that net returns of cotton crops are conventionally small and insufficient to cope with damages from crop failure. Yet, PMFBY will require some modifications in the premium rate and the level of indemnity for its greater uptake among Punjab cotton farmers. Additionally, using the logistic regression framework, the authors find that an increase in awareness about crop insurance and farmers' perceptions about their crop failure in the near future reduces the willingness of the farmers to participate in the crop insurance markets.

The present study looks for the viability of PMFBY in Indian Punjab for the cotton crop, which can also be extended to other crops.

Punjab could also use crop insurance to encourage diversification in agriculture. There is a need for special packages for diversified crops under any crop insurance policy. Crops susceptible to volatility due to climate-related factors should be identified and provided with a special insurance package.

There exist very scant studies that have discussed the viability of a central crop insurance scheme in the agricultural-rich state of India, i.e. Punjab. Moreover, they do not also focus on crop losses accruing due to pest and insect attacks.

This chapter examines how Maragoli women farmers’ plot-level crop control, individual, and household variables affect yields. This chapter contributes to a holistic understanding of the ramifications of quantitative and qualitative factors informing women farmers’ plot-level undertakings and yields as well as their innovative and creative strategies for optimizing output. It broadens the existing debate in the sub-Saharan African agricultural production literature by suggesting a composite measure of plot-level crop control as one factor influencing women farmers’ yields even in situations where land is owned by someone else. It also provides a rich discussion of the various and interlocking qualitative factors distorting women farmers’ incentive structures, efforts to increase plot-level yields and their strategies for minimizing the detrimental effects of the same.

A multimethod quantitative and qualitative ethnographic case study approach was used in this study.

This chapter demonstrates that women strategically bargained and invested more of their productive resources on the plots where they anticipated the greatest individual gains.

This chapter underscores women farmers’ ability to boost agricultural output when there are appropriate incentives for them to do so and suggests the theoretical and practical relevance of secure control and property rights over the products of the land not for the household (head), but for the cultivator. The chapter demonstrates and reaffirms that Africa women farmers respond appropriately to incentives and suggests that there is need for a customized, renewed, and sustained emphasis on women farmers’ empowerment and inclusion in all levels in the agricultural sector in order to actualize increased yields. Investing in women farmers and implementing policies that narrow existing gender disparities in African agricultural production systems is holistically beneficial.

While land management can be a subject of conflict in places where the composition of landowners is socially and culturally diverse, it also holds the potential of bringing landowners together across social groups. This chapter uses the case of a peri-urban area near Copenhagen, Denmark, to examine the relations landowners have through their use and management of land within and across social groups. To elaborate the analysis and discussion of social groups, social coherence and fragmentation, this chapter introduces the concepts of homophily and self-categorisation. Interviews with 40 landowners from two parishes addressed four types of land-based relations: (1) exchange of help and services; (2) debate of farming/management; (3) shared interests and (4) friendship. While the pattern of relations overall supported the idea that people interact more with their own social group, the analysis also showed areas of interaction across groups as well. Three overall themes summarise important areas of cohesion/fragmentation: (1) Rented land and contracting, (2) Common interests between landowners including hunting, farming and horses, (3) Urgency and geographic proximity.

The paper analyzes the adaptive behavior of farmers in the Yunnan province of China, where drought is occurring more frequently. We focus on the experiences with adaptation to climate change by farmers in the rural areas of China.

The research is based on a survey and a number of in-depth interviews of key stakeholders in a drought-stricken region.

Where the government is not always coming forward, the farmers take initiatives to adapt to the new situation of drought. Different mechanisms are being used, some linked to government policies and subsidies, other initiatives are initiated by the farmers themselves, individually or in small groups.

More research on the livelihood strategies is necessary to better understand what these strategies mean for the household income and hence for the survival chances of poor households.

Climate change encourages local actors to play a role in drought adaptation, developing policies for mitigating the consequences of drought, trying to create water markets and involving local companies and water user associations. The research suggests stimulating the initiatives of the farmers and to create an enabling environment for them.

Without government policies we will see growing inequalities in the rural areas of China.

We studied how in the case of drought farmers react to adapt to the new reality. Different adaptation strategies are distinguished and their relation to different government policies is established. We observed that farmers find their own solutions and create their own governance structures to assure for example supply of additional water to their fields.

This chapter illuminates why and how a group of local social entrepreneurs improved farmers’ living conditions and contributed to the preservation of Kerinci Seblat National Park (KSNP) through sustainable coffee farming. KSNP is the largest national park on the Island of Sumatra and is a UNESCO world heritage site. However, since 2011, it has been listed as a “World Heritage in Danger” due to illegal logging, encroachment, and poaching of KSNP land. To save KSNP and improve the living conditions of the people around the national park, a group of local social entrepreneurs gathered in 2014 and devised a vision of “preserving the nature by empowering the community” by establishing Koperasi Alam Kopi Kerinci (ALKO cooperatives). The cooperative started to recruit seasoned farmers and younger people who wanted to become agripreneurs. The coffee supply chain was strengthened by educating farmers about good farming practices and coffee traceability technology, so Kerinci coffee could compete in the export market. After seven years of collaborative work, by early 2021, the initiative empowered 516 farmers who cultivated 410 hectares of coffee plantations in 24 villages with a total production of 350 tons of Arabica specialty Kerinci coffee. Ninety-five per cent of coffee productions were exported with premium prices to Belgium, Norway, France, the Netherlands, England, New Zealand, the USA, China, Malaysia, and Singapore. Farmers started to enjoy the fruit of their hard work. Some illegal loggers stopped poaching KSNP and started to plant coffee outside KSNP. The endeavor to preserve the nature and empower the community has started to show good results.

Large-scale farm management in China has developed rapidly in recent years. Large-scale farmers face substantial operating risks, requiring extensive price risk management. However, the agricultural insurance and futures markets in China are incomplete. This study aims to analyze the price-risk-management behaviors of large-scale farmers under incomplete market conditions, with a focus on the interconnections between large scale farmers' subjective preferences (risk preferences, time preferences), liquidity constraints and their price risk management.

The authors construct an analysis framework to reveal the impact of large-scale farmers' risk preferences, time preferences and liquidity conditions on their price-risk-management behaviors under incomplete market conditions. Using data from field surveys and subjective preference experiments involving 409 large-scale grain farmers in China, an empirical analysis was conducted using the bivariate probit model.

The results show that risk-averse farmers will use risk transfer (such as contract farming) and risk diversification (such as multi-period sales) to avoid price risk. However, farmers subject to liquidity constraints and strong time preferences will not choose risk diversification, and the interaction between time preferences and liquidity constraints will strengthen this decision. The larger the farm-management scale, the greater the impact.

The authors focus on rapidly developed large-scale farm management in China. Appropriate price risk management is required by large-scale farmers due to their substantial operating risks. Considering the incomplete conditions of agricultural insurance and futures markets, the results of this study will help identify behavioral characteristics of large-scale farmers and optimize their price-risk-management strategies, further stabilizing large-scale farm management.

Purpose – This chapter discusses farmers' and policy responses to global shocks, specifically in terms of soaring prices for agricultural products in 2007. We discuss whether these shocks influenced Norwegian agricultural policy and Norwegian farmers perceptions of their situation.

Design/methodology/approach – As a background, we review trends in agricultural policy post-World War II both globally and in Norway, including empirical evidence for the changing global situation of agriculture. This chapter also analyses farmers' perceptions of their situation from 2002 to 2010 in light of these changing reality and policy response.

Findings – One immediate effect of increasing food prices was increasing incomes for food exporters and food exporting countries, an increase which also trickled down to the producers. Simultaneously, production costs rose as many input-factors became more expensive. In Norway, we saw the emergence of more optimism among farmers, more willingness to invest in farming (as opposed to a focus on cost reduction), and clear signs of a ‘repositioned productivism’.

Originality/value – In this chapter, we present an analysis of the relationship between global events, agricultural restructuring and local responses. The chapter also discusses the case of productivism along the lines drawn by Burton and Wilson (this volume), and argues that in the Norwegian system we can indeed see traces of an emerging ‘repositioned productivism’.