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This study assesses the potential impact of the European Income Stabilization Tool (IST – a whole farm income risk management [RM] tool) within a farm cooperative specializing in vineyards and operating in a small area of production. The authors assess the conditions under which IST could improve the well-being of the associated farmers and, at the same time, improve financial sustainability. Financial aspects are of particular relevance since the characteristics of the cooperative cause the management of the tool to become potentially risky.

The analysis relies on a balanced panel dataset to report the production and economic characteristics of individual associated farms. This is the basis for simulating the implementation of the IST as described in the current European regulation. The expected utility approach is then used to assess the potential impact on farmers' well-being under different levels of risk aversion and premiums. The analysis of the IST annual cash flow allows for an accurate assessment of its financial sustainability.

The results suggest that the IST can improve farmers' well-being under plausible levels of risk aversion and premiums, making most farmers willing to support its implementation. Furthermore, the tool could be financially sustainable even if implemented in a specialized and geographically concentrated group of farms. In addition, the results suggest that the use of strategies such as the IST could help cope with negative annual balances by treating the financial sustainability of the fund.

The analysis adds to previous research on the IST by accounting for farmers' risk aversion. Furthermore, it is the first analysis that simulates the implementation of this tool in a sector-specific and concentrated group of farms. The results provide useful evidence for those subjects planning to implement the IST in small and specialized farming systems.

This paper bridges the gap between theory and practice in the application of the Income Stabilisation Tool (IST). With an application to the dairy sector, the purpose of this paper is to propose methodology for the quantification of reference income when farm structural change occurs and estimate the role of farm attributes on the probability of income loss, offering an ex ante evaluation of farm resilience to risk.

Based on a balanced Farm Accountancy Network farm-level panel ranging from 2008 to 2014, three hypotheses of reference income calculation are tested to assess whether farms structural changes over the years significantly affect the level of IST indemnification. The role of farm characteristics on the probability of an income reduction is then evaluated by estimating a multinomial logit model.

Results show that farms’ structural changes significantly affect IST indemnities and need to be considered in calculating the reference income. The estimated model suggests that farm characteristics significantly affect the probability of a severe income drop and hence risk resilience. Extensive livestock systems seem to reduce the probability of an income drop, while farms in upland areas managed by young farmers seem to experience increased risk exposure.

The research provides one of the first attempts to define risk profile of dairy farms by modelling the probability of an income reduction on observable attributes. Indeed, among different sectors, dairy farms emerge as the main candidates for the application of the IST.

The purpose of this paper is to examine the factors affecting the relative variability in farm and off‐farm income for Canadian farm operators.

Variability of farm and off‐farm income is analyzed using a dataset of 17,000 farm operators from 2001 to 2006. Relative ranking of the coefficients of variation (CV) for farm and off‐farm income are compared across farm types and are regressed against factors conditioning the variations.

Greater reliance on farm income results in lower (greater) relative variability in farm (off‐farm) income. Larger commercial operations experience larger farm income volatility because they are less risk averse or they can manage more risk. Diversification and off‐farm employment appear to be risk management strategies for commercial operations.

Government payments have a small, positive effect on farm and off‐farm income variability, indicating this support leads farmers to take on more risky activities and/or reduce the use of self‐insurance activities. Results could also be due to the lag between the time of the income reduction and the time in which the aid is received. Further research is necessary to decipher the effects of government support on farm decisions.

The results on relative variation in the farm and off‐farm income across farm type raises questions about whether government programs should target specific operations.

While income variation remains a focus of public policy, factors affecting its variability are not well‐understood. Studies have examined the level of farm income and the decision to participate in off‐farm employment but none has examined the variance in both income sources.

The current economic crisis has significantly increased unemployment, showing higher persistence than expected. However, since microdata from household surveys are issued with delay, they do not allow a prompt analysis of the impact of the economic cycle on households’ living conditions. The purpose of this paper is to propose a microsimulation methodology to achieve an evaluation of the impact of economic shocks in terms of household’s living conditions to guide policy makers.

The microsimulation technique developed in this paper is based on a nowcasting approach by using different sources of data and by taking into account a whole set of potential transitions across the different statuses of the labour market and the related changes in income. To validate this microsimulation method, the authors apply it to Italy, a country that has been deeply affected by the crisis.

Data have been drawn from the European Statistics on Income and Living Conditions Survey for Italy (IT SILC) and from the Labour Force Survey for Italy. The latter data allow us to take into account the changes in the labour market status of individuals due to economic shocks. The validation results support the capability of the model to simulate the effect of the cycle before actual data on income are available.

The results obtained would encourage the use of the suggested methodology to anticipate the effect of the economic cycle on household’s income therefore enabling the design of effective policies to sustain household income with positive practical and social implications.

Distinct from other microsimulation techniques the methodology proposed in this paper allows us to take into account behavioural effects and the change in the composition of employment and unemployment. Moreover, the authors contribute to the existing literature by considering a whole set of transitions across different labour market statuses and the related changes in income.

The use of weather derivatives is impaired with a basis risk which diminishes the hedging effectiveness and hinders the distribution of these risk management instruments in the agricultural sector. A frequently suggested approach to reduce the basis risk is the use of mixed indices composed of several weather variables. The purpose of this paper is to compare the hedging effectiveness of a simple temperature‐based and a simple precipitation‐based weather derivative with that of a derivative based on a mixed index of two weather variables.

The basis of this comparison are empirical yield time series of the winter wheat production of 32 farms located in central Germany, as well as daily temperature and precipitation data collected by selected weather stations over several years. Insurance is structured as an option on an accumulated weather index and priced by index‐value simulation. In addition, the bootstrapping method is used to improve statistical reliability. The hedging effectiveness is measured non‐parametrically regarding the relative reduction of the standard deviation of winter wheat revenues caused by using weather derivatives.

The results reveal that mixed index‐based weather derivatives have a significantly higher potential to reduce the risk of winter wheat revenues than simple index‐based weather derivatives. However, using mixed index‐based weather derivatives does not lead to a significantly higher hedging effectiveness than the simultaneous use of several simple index‐based weather derivatives. Moreover, simple index‐based weather derivatives may more easily raise the interest of other industries which could serve as potential trading partners for the agricultural sector.

The authors analyzed the hedging effectiveness of weather derivatives based on simple and mixed indices with regard to the production of winter wheat in Central Germany. To confirm that the present results are generalizable, further research is required for other types of production apart from winter wheat cultivation and with respect to other regions besides Germany.

The focus and results of the present study are very relevant for farmers as well as for potential providers of weather derivatives. The results reconfirm that weather derivative providers should better offer different weather derivatives based on a simple index than complex derivatives that are based on a mixed index.

To the best of the authors' knowledge, this paper is the first that provides a comparative impact analysis of simple and mixed index‐based weather derivatives conducted for real individual farms with regard to their hedging effectiveness.

The outstanding reform of the Common Agriculture Policy allows for changes regarding its most criticized component, the direct payment scheme. The purpose of this paper is to investigate farmers’ acceptance of subsidized whole farm income insurance (WFI) and single-crop, multi-peril revenue insurance (RI) that are associated with a reduction of direct payments.

By applying a generalized multinomial logit model on data of a discrete choice experiment, German farmers’ preferences, expressed as their willingness to pay (WTP), for WFI and RI are revealed.

The results show a positive WTP for WFI and RI. The average farmer has a higher WTP for WFI than for RI. By increasing the coverage level, the negative influence of a reduction of direct payments on WTP for insurance can be compensated. Individual risk attitude and assessed importance of direct payments for the farm business show a statistically significant influence on the WTP.

The results suggest that, even if direct payments were abolished in order to subsidize WFI or RI, German farmers’ WTP for both insurance products would remain positive. However, to finally assess whether subsidizing insurance is the right means of providing public support, it is necessary to assess whether farmers’ WTP meets the costs for such an insurance scheme.

To the authors’ knowledge, this is the first study investigating German farmers’ WTP for WFI and RI using an experimental approach by explicitly considering the partial to complete replacement of direct payments by subsidized insurance.

The term “charity hazard” refers to the issue of the crowding out of insurance by co-existing relief programs in the context of different institutional governmental disaster schemes. In this context, the aim of this paper is to verify if the charity hazard phenomenon exists in the Italian agricultural insurance scheme.

Annual data regarding crop insurance, subsidies and farm structure were extracted from ISMEA, ISTAT and FADN databases. A SYS-GMM dynamic panel model was estimated, considering the 2010–2017 time period and the Italian Regions as units of the analysis.

The empirical results highlight a negative relation between crop subsidies and the farmers' policies and total premium paid. The disincentive and crowd-out effects of public aid and subsidies on the choice of whether or not to take out an agricultural insurance policy ends up being one of the key factors for the low level of penetration of the agricultural insurance in Italy.

Since the diffusion of agricultural insurance can contribute to the general objective of sustainability and resilience, the implementation of alternative solutions to subsidies could be needed (e.g. the introduction of mandatory insurance against adversities or financial support for a geographically specific insurance tool).

Investigating empirically the determinants of the agricultural insurance policy diffusion among the Italian Regions, this study ensures an original contribution to the scientific progress in the field, demonstrating the existence of charity hazard caused by the public subsidies provision.

The assignment of targets to instruments in developing countries cannot satisfactorily follow any simple universal rule. Which approach is appropriate is influenced by whether the economy is dominated by primary exports, by the importance of the domestic bond market and bank credit, by the extent of existing restriction in foreign exchange and financial markets, by the presence or absence of persistent high inflation, and by the existence or non‐existence of an active international market in the country's currency. Eighteen observations and maxims on stabilisation policy are tentatively drawn (pp. 64–8) from the material reviewed, and the maxims are partly summarised (pp. 69–71) in a schematic assignment, with variations, of targets to instruments.

In this paper, the heterogeneity of the linkages among financial development, productivity and growth across income groups is emphasized.

An empirical analysis is conducted with an illustrative sample of 130 economies over the period 1991–2019 and classified into four subsamples: Organisation for Economic Co-operation and Development (OECD), developing, least developed and net food importing developing countries. Forecast error variance decompositions and panel vector auto-regressive estimations are computed, with insightful findings.

Higher levels of output stimulate the economic development in the agricultural sector, mainly via the productivity channel and, in the most developed economies, also through access to credit. Differently, in developing and least developed economies, the role of access to credit is marginal. The findings have practical implications for stakeholders involved in the planning of long-run investments. In less developed economies, priorities should be given to investments in technology and innovation, whereas financial markets are more suited to boost the development of the agricultural sector of developed economies.

The authors conclude on the credit–output–productivity nexus and contribute to the literature in (at least) three ways. First, they assess how credit access, agricultural output and agricultural productivity are jointly determined. Second, they use a novel approach, which departs from most of the case studies based on single-country data. Third, they conclude on potential causality links to conclude on policy implications.

Passage of the 1996 Farm Bill marked a dramatic departure in federal farm policy as the longstanding deficiency payment program was replaced with non‐risk responsive transition payments. In light of the departure, subsidized savings has been proposed as a mechanism to provide risk protection to agricultural producers. Using Canada’s National Income Stabilization Account (NISA) program as an example of a subsidized savings program, a stochastic programming model of income stabilization is developed. The model is then used to investigate the optimizing behavior of a typical Midwestern crop producer. The results suggest a fair amount of program design flexibility exists, and that the government can use this flexibility to stimulate initial and continual participation while minimizing capital outlays.