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Conceptualizing development in terms of risk management has become a prominent feature of mainstream development discourse. This has led to a convergence between the rubrics of financial inclusion and risk management whereby improved access for poor households to private sector credit, insurance and savings products is represented as a necessary step toward building “resilience.” This convergence, however, is notable for a shallow understanding of the production and distribution of risks. By naturalizing risk as an inevitable product of complex systems, the approach fails to interrogate how risk is produced and displaced unevenly between social groups. Ignoring the structural and relational dimensions of risk production leads to an overly technical approach to risk management that is willfully blind to the intersection of risk and social power. A case study of the promotion of index-based livestock insurance in Mongolia – held as a model for innovative risk management via financial inclusion – is used to indicate the tensions and contradictions of this projected synthesis of development and risk management.

This chapter opens the second part of the Volume, focusing on the small farms' role and dynamics within the evolving food system. Assessing small farmers' actual and potential contribution to the change towards a sustainable food and nutrition security requires a deep understanding of their strategic decision-making processes. These processes take place in a context highly conditioned by internal and external conditions, including the complex relations between farm and household, which are mapped and described. Building on an adaptation of Porter's model (Porter, 1990), the chapter investigates how farmers, given those conditions, define their strategies (in particular their innovation strategies) aimed at economic and financial sustainability through a multidisciplinary analysis of scientific literature. Internal conditions are identified in the light of the Agricultural Household Model (Singh & Subramanian, 1986) which emphasizes how family farming strategies aim at combining business-related objectives, and family welfare. Then, a comprehensive set of external conditions is identified and then grouped within eight categories: ‘Factors’, ‘Demand’, ‘Finance and Risk’, ‘Regulation and Policy’, ‘Technological’, ‘Ecological’, ‘Socio-institutional’ and ‘Socio-demographic’. Similarly, six types of strategies are identified: ‘Agro-industrial competitiveness’, ‘Blurring farm borders’, ‘Rural development’, ‘Risk management’, ‘Political support’ and ‘Coping with farming decline’.

While rapid increase in demand for foods but limited availability of croplands has forced to adopt input-intensive farming practices to increase yield, there are serious long-term ecological implications including degradation of biodiversity. It is increasingly recognised that ensuring agricultural sustainability under the changing climatic conditions requires a change in the production system along with necessary policies and institutional arrangements. In this context, this chapter examines if climate-smart agriculture (CSA) can facilitate adaptation and mitigation practices by improving resource utilisation efficiency in India. Such an attempt has special significance as the existing studies have very limited discussions on three main aspects, viz., resource productivity, adaptation practices and mitigation strategies in a comprehensive manner. Based on insights from the existing studies, this chapter points out that CSA can potentially make significant contribution to enhancing resource productivity, adaptation practices, mitigation strategies and food security, especially among the land-constrained farmers who are highly prone to environmental shocks. In this connection, staggered trench irrigation structure has facilitated rainwater harvesting, local irrigation and livelihood generation in West Bengal. However, it is necessary to revisit the existing approaches to promotion of CSA and dissemination of information on the design of local adaptation strategies. This chapter also proposes a change in the food system from climate-sensitive to CSA through integration of technologies, institutions and policies.

Private household insurance has been relatively uncommon among households in Samoa to date. Meanwhile, numerous other adaptation interventions are also being implemented, including community-based adaptation (CBA) projects which draw on the skills of the community to address the climate change-related hazards that are expected to affect local communities. Through semi-structured interviews with community members from the urban/peri-urban area around Apia (with and without insurance) and an insurance company representative, this research explores private household natural perils insurance uptake in Samoa and the effect that the uptake of this insurance has on household engagement in other climate change adaptation (CCA) strategies such as CBA projects. Findings suggest that individuals whose homes are already insured with natural perils insurance are more likely to express more individualistic values or beliefs than those without natural perils insurance. Insured homeowners commonly framed adaptation as a technical challenge, with insurance being part of the technical and expert-led approach to prepare for, manage and recover from extreme events. In contrast, householders without insurance perceived CCA as less of a technical task and more of a social process. Those individuals with private household natural perils insurance coverage (in keeping with their more individualistic values) reported that they were less engaged in CBA projects compared to participants without insurance (who held more communalistic values). Given the importance of household participation in CBA projects, an increased uptake of insurance may have problematic outcomes for the adaptive capacity of the broader community.

This paper explores the emerging articulations between microfinance and livestock production cycles among Mongolian pastoralists in contexts plagued by disaster and commodity market fluctuations. Ethnographic investigations of household production and vulnerability in two rural districts of eastern and western Mongolia demonstrates that both poor and wealthy households have become ensnared in a cashmere-debt cycle but that the bifurcation of livestock asset trajectories between large and small herds has also fostered diverse financial and herd management strategies that further exacerbate existing inequalities.

Purpose – To investigate whether investor interest in climate issues affects the carbon behavior of the corporations in which they may invest (target corporations).

Methodology/approach – We developed the Finance and Climate Database, merging data on ownership, carbon disclosure, and investor climate interest from several sources, with 30,840 shareholder unit observations. We supplemented analysis of this with interviews.

Findings – Climate-interested investors (CIIs) account for well over a third of the ownership of the world’s very large corporations. More activist CIIs may make a difference to carbon behavior of target corporations where their shareholdings are large enough to enable them to exert power, at or above around 1.5 percent of a target company’s shares. Share price volatility also strongly affects carbon behavior, and the balance of power in investment presently favors the short term over the long term.

Research limitations/implications – More precise proxies for carbon interest and carbon behavior would benefit future research.

Social implications – There is potential for far greater influence by individual CIIs. The most important factor in shifting the balance of power from the short term to the long term would be global agreement on a carbon pricing system.

Originality/value of chapter – This is the first time such a database has been developed or used for this purpose.

We review the experimental evidence on risk aversion in controlled laboratory settings. We review the strengths and weaknesses of alternative elicitation procedures, the strengths and weaknesses of alternative estimation procedures, and finally the effect of controlling for risk attitudes on inferences in experiments.