PurposeIndex insurance is promising to mitigate drought-related income losses in agriculture. To reduce the basis risk of index insurance, the integration of satellite data is of growing interest in research. The objective of this study is to obtain preliminary evidence regarding farmers' perceived usefulness (PU) of satellite-based index insurance.Design/methodology/approachBy modifying the transtheoretical model of change to a transtheoretical model of PU, German farmers' gradual PU of satellite-based index insurance was investigated.FindingsThe results show that the average farmer perceives satellite-based index insurance as useful. It can be particularly seen that a higher level of education in an agricultural context as well as higher trust in index insurance products increases farmers' gradual PU. Moreover, higher relative weather-related income losses increase farmers' gradual PU.Research limitations/implicationsIt is recommended to apply latent variables when conducting future investigations regarding farmers' PU.Originality/valueTo the best of the authors' knowledge, this is the first study to explore farmers' PU of upcoming satellite-based index insurance by modifying and applying the transtheoretical model in a new way.

PurposeThis study analyzes the long-term effect of merger and acquisition (M&A) activity on the profitability, efficiency and liquidity of the largest 500 farmer cooperatives in the United States.Design/methodology/approachSecondary data from the U.S. Department of Agriculture are complemented with primary data collected from print media publications about M&A activity by US farmer cooperatives. The analysis is based on group comparisons of means and distributions to study the effect of M&A activity on financial performance.FindingsFarmer cooperatives with M&A activity generally have lower profitability, efficiency and liquidity than farmer cooperatives without M&A activity, both at the time of the merger or acquisition as well as afterward. Marketing cooperatives in particular perform worse following M&As. Also, the post-merger performance of farmer cooperatives with M&A activity is not affected by the profitability, efficiency or liquidity of the target.Originality/valueResearch on the post-merger performance of farmer cooperatives is both scarce and dated. This study analyzes the effect of M&A activity for a relatively large sample and a relatively long time period (2005–2020).

PurposeThe purpose of this paper is to evaluate the Dual Use (DU) Option – a crop insurance policy created by the 2018 Farm Bill – relative to other policies available to dual-purpose annual forage producers. The new policy combines existing rainfall-based policies for annual forage crops and multi-peril policies for grain, allowing coverage for multiple crop uses on the same acres during the same growing season.Design/methodology/approachThe paper uses a simulation model to examine crop insurance choices for a typical Texas dual-purpose wheat farm. The certainty equivalent (CE) of wealth is used to rank choices within and between three insurance plans and to analyze the effects of those choices over a range of producer risk aversion levels and for three cases of yield expectations.FindingsThe DU Option is more preferred as risk aversion increases, but it is not universally preferred. Therefore, while the policy can be a viable risk management tool, certain restrictions may be limiting its effectiveness.Practical implicationsThe findings of this paper can help explain farm-level decision making related to dual-purpose annual forage crop insurance program choices.Originality/valueThis paper contributes to the literature by documenting a new crop insurance program made available in the 2018 Farm Bill and provides insights into producers' possible choices by evaluating extensive scenarios.

PurposeThis research aims to investigate the feasibility of formalizing an old, informal livestock financing practice in Pakistan known as Adhyara through assessment of estimated return and risk.Design/methodology/approachThe hedonic pricing model was employed to estimate the impact of breed, weight, pregnancy status and milk yield on cattle sales price, and appropriate estimates were used for monetization. The stochastic simulation was then used to estimate the distribution of capital returns for investors in the informal livestock practice. Primary data on animal prices and attributes were obtained from a survey of dairy farms and data on terms of Adhyara deal were obtained from a survey of nomad pastoralists and current investors. In-depth interviews were also conducted with different stakeholders to get insights into this informal livestock practice and social elements.FindingsResults from the hedonic model show that the animal prices in Pakistan are highly variable depending on the animal attributes of breed, weight, milk yield and pregnancy status with an average value of PKR (Pakistani Rupee) 191,771 and standard deviation of PKR 66,762. Our stochastic simulation reveals mean estimated real return of 24 per cent. This return is competitive considering local and international investment alternatives.Social implicationsThe research identifies a lucrative and market competitive investment option and thus opens the window of opportunity to introduce grass root entrepreneurship in the livestock sector. Recommended formalization of this traditional livestock practice can boost investment creating substantial potential for the uplift of local communities and simultaneously contribute towards the goals of poverty eradication, food provision and employment generation for women.Originality/valueThis research lays out the possibility of formalizing the practice of a traditional livestock financing in an agricultural country.

PurposeThis 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.Design/methodology/approachThe 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.FindingsThe 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.Originality/valueThe 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.

PurposeThis paper aims to quantify the impact of environmental contamination on farmland valuation. It applies data fusion and hedonic pricing approaches to quantify the contribution of nitrogen and phosphorus loading on farmland sales transactions. It further suggests approaches to improve internalization of environmental cost in valuation approaches using shadow pricing. The work informs the field of environmental, social and governance (ESG) investing by fusing environmental data with financial transactions.Design/methodology/approachThis paper is an empirical study implementing hedonic pricing of farmland in the Lake Huron major drainage area. Data sources and fusion were derived from AcreValue, the United States Department of Agriculture's Gridded Soil Survey Geographic database (gSSURGO) and the United States Geological Survey's Spatially Referenced Regression on Watershed Attributes database (SPARROW).FindingsThe results suggest that environmental contamination has statistically significant positive determination power on farmland prices such that prices increase with contamination. Conventional metrics such as percentage of cultivated land in the parcel, root zone depth, whether the parcel is designated by the Natural Resource Conservation Service as prime farmland, and the size of the farmland parcel contribution to farmland value as well. The results indicate that environmental impacts are not accurately accounted for in farmland transactions.Research limitations/implicationsThis paper points to inaccurate valuation of environmental contamination in farmland value. While geocoding allowed for positioning of farmland sales transactions relative to modeled areas of contaminant loading in the Lake Huron drainage area, the interpretation indicates that value is driven by cultivation. Hence, generalization to other areas needs a cautious approach. Empirical testing across locations and drainage areas with diverse farmland features will serve to verify the modeled data used in this study.Practical implicationsThe lack of integration of externalities in land valuation has implications on lending and disclosure practices, as financial service providers increasingly seek to account for ESG risk on their loan books and broader investment portfolios. The impact of farmland accounting practices for contamination such as shadow pricing may impact land valuation based on future cash flows, and may serve to inform sustainability-linked lending practices to farm operations.Originality/valueThis is the first paper to fuse data from AcreValue, gSSURGO and SPARROW to discover the explanatory power of nutrient contamination in farmland value in the Lake Huron major drainage area.

PurposeThe problem of inaccessibility of finance for farm investment is a common phenomenon among farmers, especially the rural dwellers. Thus, there is a need to know how the accessibility of informal finance can be increased to increase farm investment. Therefore, this study evaluates farmers’ access to informal finance and its contribution to farm investment among rural farmers in Northcentral Nigeria.Design/methodology/approachA three-stage random sampling technique was employed to select 160 farmers. Primary data collected were analysed with descriptive statistics and the Heckman selection model.FindingsThe study revealed that cooperative society is the major informal means of loan acquisition used by the farmers followed by Rotational Savings and Credit Associations (RoSCAs). Informal loans contributed to agricultural investment through the various operational activities involved in production. Factors influencing farmers’ access to informal loans were the age, farm size and income of the farmers. Interest charged, farmers' age, farming experience, household size, education and loan duration were the drivers of the amount borrowed from the informal financing sector.Practical implicationsThe findings of the study call for policies that will sustain informal financial institutions in developing economies, like Nigeria. Thus, the government through its regulatory agencies should assist informal finance providers with the necessary resources to achieve more goals. This is because the informal credit lenders help in bridging financial gaps created by formal financial institutions, such as commercial banks.Originality/valueUnlike the previous research studies, this study investigated the driving factors of the amount borrowed from informal finance and its use in farm investment.

PurposeThis study investigated the succession process in small and medium family farms as two distinct but related processes of management transfer and ownership transfer. Past studies focused on the broad subject of succession, without dissecting succession into the components that it contains. Furthermore, this study aimed to evaluate which business, family and owner characteristics were significant in the progress of each process toward the actual transfer of management and ownership.Design/methodology/approachTelephone interviews were conducted to gather information from rural family businesses in Illinois, Indiana, Michigan and Ohio. A bivariate ordered probit regression was utilized to model the processes of management and ownership transfer as separate but related processes. Both management transfer and ownership transfer were modeled utilizing three distinct stages of transfer.FindingsBusiness and owner characteristics were significant to both management and ownership transfer, whereas family characteristics only influenced ownership transfer. Farm family businesses that discussed goals, identified a successor and were educated on how to start the transfer process were more likely to have made progress in both management and ownership transfer.Originality/valueThe authors contribute empirically to the literature by modeling the components of the succession process, management transfer and ownership transfer, as separate but interrelated processes. The authors specifically investigate which business, owner and family characteristics influence the progression of management and ownership transfer in farm family businesses.

PurposeBeginning farmers have unique challenges securing credit because they are less likely to have established sales and collateral for secured loans. This article explores US beginning farmers’ financing strategies relative to those of established operations, with a focus on the source of financing and debt structure (short- vs long-term usage). Agricultural operations commonly use nontraditional financing tools and strategies to start, build and/or sustain their businesses. This article provides a comparative overview of financing strategies comparing established operators to operations with only beginning operators, as well as those multigenerational operations with at least one beginning operator.Design/methodology/approachThe study uses 2013–2016 USDA Agricultural Resource Management Survey data to explore how various financing patterns vary across US beginning farmers and ranchers with a particular focus on understanding differences where (1) all operators are beginning, (2) there is a mix of beginning and established operators and (3) all operators are established.FindingsThis article explores how the nature of beginning farmer status, human capital resources and alternative marketing strategies may influence financial management strategies and lead to differential use of nontraditional financing sources for beginning farmers and ranchers.Originality/valueThough exploratory, the authors hope that attention to patterns among US beginning farmers and ranchers of reliance on human capital resources including off-farm income and type of beginning farm operation, nontraditional government support programs and alternative marketing strategies can provide important information as to the role of nontraditional credit in the US farm economy.

PurposeLack of access to credit is commonly held responsible for slow agricultural and rural development in low- and middle-income countries. This paper aims to investigate the contribution of demand- and supply-side factors, particularly the role of risk rationing, on credit application and uptake in the case example of Kyrgyzstan.Design/methodology/approachToward this aim, the study explores the determinants of credit behavior of 1,738 Kyrgyz sample farm households from 2013 to 2016 waves of the nationally representative “Life in Kyrgyzstan” (LIK) dataset along a hierarchical regression model, differentiating between factors influencing individual demand for credit and factors influencing supply for credit.FindingsThe results of our analysis indicate the relative importance of demand-side factors for credit applications, reflecting farmers' perceived risk of credit default and loss of collateral. Meanwhile, supply-side factors, such as real credit constraints and collateral requests, have a stronger influence on credit uptake rates and overall loan sums. These findings highlight the role of risk rationing for agricultural investment, suggesting a stronger focus of development policy on improving risk-sharing mechanisms for farmers, e.g. by developing the agricultural insurance sector.Originality/valueThe paper contributes novel evidence on the role of risk rationing in shaping the demand for formal credits for increasing agricultural and rural investment in low-income transition economies. Previous research has mostly focused on the role of credit supply, thus underrating the potential contribution of individual risk attitude, risk experience and risk sharing.