Although potentially useful for financially hedging systemic weather-related risks, weather contracts/derivatives (also referred to as parametric insurance) have not seen wide adoption in agriculture outside of applications in developing countries, frequently supported by governments and non-governmental organizations (NGOs). A significant impediment is the lack of financial firms willing to stand ready to sell weather derivatives to individual agricultural producers in the over-the-counter market who, due to the localized nature of weather, face idiosyncratic weather-related risks. In particular, the administrative and reinsurance costs of supplying relatively small contracts with specific terms to many different producers are often prohibitive. The current study considers the potential use of weather derivatives in hedging the aggregate yield/revenues of viticulture producers represented by an industry association located in the province of Ontario, Canada. We examine the sensitivity of aggregate industry yields to several relevant weather-related risks employing copula function analysis. We then consider the potential of a weather derivative in hedging the financial risk associated with cold winter temperatures, which pose the greatest risk to aggregate vinifera yields. The issue of attributing costs and payouts to individual association members remains unresolved, and several alternatives are suggested.

Calving date affects feed costs, calf weaning weights, marketing dates, labor availability, and, potentially, calf health. Employing recent estimates of calf weaning weights and surveys of producers, feedlot operators, and veterinarians, we model expected profits as a function of calving date. January-calving herds had the highest annualized net returns, a result driven by older weaning dates and heavier weaning weights. However, survey results show March and April were the most common calving months. This may be due to both weather and labor demand concerns. If weaning ages are restricted to 205 days, January calving was the least profitable because of higher feed costs.

Efficiencies of Agricultural Credit Associations of the US Farm Credit System are measured quarterly from 2005 through 2020. A slacks-based measure based on the directional distance function is used with non-performing loans included as an undesirable output. This permitted efficiency scores to be measured by type of defined input or output. Generally, most Associations were highly efficient, but there was deterioration in mean efficiency over the years 2008–2018, a period of financial difficulties in the US agriculture. Efficiencies of Associations that merged or consolidated were tracked before and after these activities. Mergers and consolidations often led to increased efficiencies.

This paper shows how econometric identification can be improved in studies making use of crop insurance participation as either an independent or dependent variable. The paper provides the reader with a succinct overview of how crop insurance contracts are priced and how to use publicly available data to derive a novel composite crop insurance design parameter that emulates existing crop insurance rating parameters using a procedure that is based on current actuarial practices. The derived design parameter performs well at predicting historic crop insurance loss-cost ratios and satisfies the requirements for an instrumental variable for a variety of empirical applications related to crop insurance. Representative empirical examples are presented where it is shown that the proposed instrument has favorable two-staged least squares diagnostic tests and is effective at eliminating endogeneity bias.

This paper proposes an approach to determine efficient release prices on the Bordeaux en primeur (primary) market. The model exploits information from the secondary market to estimate efficient release prices. We apply the model to a representative sample of wines from the 2021 vintage. The results show that most chateaux released their wines at prices that were too high. The median overpricing is 5.2% but exceeds 30% for some wines. This situation may be partially attributed to excessively uniform pricing caused by the tendency of chateaux with similar status to release their wines at similar price levels.

We utilize a unique primary data set of farms in Russia and Kazakhstan to investigate the link between policy reforms and technical efficiency. These countries have heavily subsidized their domestic agricultural production over the last decade, with a total of around USD 76 billion USD and USD 11.5 billion USD in government funding directed towards the agricultural sectors in Russia and Kazakhstan, respectively. Results of a stochastic frontier analysis make evident that variable inputs, such as fertilizer, have a relatively large influence on wheat production compared to land. Nearly every fifth farm has a technical efficiency level lower than 60%, suggesting significant unrealized production potential. While our analysis shows a negative relation between subsidies and efficiency, other factors, such as farmer’s education, cooperative and agroholding membership, and participation in insurance programs, are positively related to farm efficiency. The results imply that the governments and policymakers could mobilize the unutilized wheat production potential by improving the farmer education system, fostering cooperation among farms, and developing functioning farm insurance schemes.

In this paper, we apply an indirect production function approach to analyze producers’ output and input allocation choices under expenditure constraints. Our estimation results show that financial constraints induced a nonoptimal usage of smallholder farm inputs, resulting in losses in potential productivity of approximately 25%. It appears that the presence of a binding expenditure constraint has led to an underutilization of fertilizer and manure as well as an overutilization of seed.

This article evaluates Agriculture Risk Coverage (ARC) and Revenue Protection (RP) used in conjunction as an optimal risk management strategy for representative producers in the Corn Belt and Mississippi Delta. Using a simulation procedure to produce representative farm revenues, we find it is optimal under expected utility for producers to enroll in RP, despite having RP through ARC. Results are robust across alternative sampling methods and regions. These findings imply that ARC is better suited as a complementary program, and that it is optimal for a producer to enroll in higher coverage levels than we currently observe.

Using linked data from multiple years of the U.S. Census of Agriculture, this study identifies farm and operator characteristics associated with beginning farm survival, growth, and success. Success is defined as continuing in business for 5 years without a decline in farm real estate asset value. The results indicate which types of beginning farms and farmers are likely to survive and grow—information which could be useful in targeting program resources. By identifying policy-amenable variables that correlate with both farm survival and business expansion, the results also suggest possible mechanisms for increasing the success of beginning farms.

The study provides comparative risk analyses of Australia’s three Victorian dairy regions. Historical data were used to identify business risk and financial viability. Multivariate distributions were fitted to the historical price, production, and input costs using copula models, capturing non-linear dependence among the variables. Monte Carlo simulation methods were then used to generate cash flows for a decade. Factors that influenced profitability the most were identified using sensitivity analysis. The dairies in the Northern region have faced water reductions, whereas those of Gippsland and South West have more positive indicators. Our analysis summarizes long-term risks and net farm profits by utilizing survey data in a probabilistic manner.

Increased credit availability facilitates land acquisition, but higher land values also hinder it. We investigate the impact of credit availability on land values, after regulatory changes in the lending system. We build an index of increased credit availability using Federal Reserve and Federal Deposit Insurance Corporation data. County-level panel fixed effects estimations are performed controlling for land value determinants, credit availability, and county-level macroeconomic factors. We find that estimating the effects of credit availability separately masks its total effect. Results show a 0.1 change in the index for increased credit availability is associated with 1.64–1.96% increase in land values.

United States certified organic and conventional dairy farms are compared on the basis of economic, financial, and technological measures using dairy data from the 2016 USDA Agricultural Resource Management Survey. A stochastic production frontier model using an input distance function framework is estimated for U.S. dairy farms to examine technical efficiency and returns to scale (RTS) of farms of both systems and by multiple size categories. Financial and economic measures such as net return on assets and input costs, as well as technological adoption measures are compared by system and size. For both systems, size is the major determinant of competitiveness based on selected measures of productivity and RTS.

Many farmers face borrowing limits that depend on their household income and net worth. Given such credit constraints, an increase in off-farm income should allow farmers to borrow more, thus influencing production decisions and productivity. To test this hypothesis, the education level of the farm operator’s spouse is used to identify exogenous variation in off-farm income. Findings indicate that higher off-farm income leads to more borrowing, capital expenditures, capital input intensity, farm labor use, output, farm income, and productivity. Results suggest that Federal programs that promote access to credit for limited-resource farmers may increase farm investment and productivity.

Stochastic plateau production functions provide improved fertilizer recommendations based on multi-year agronomic experiments where weather and other stochastic variables change over time. This research assesses the profitability of no-tillage corn production in northeastern Colorado and determines economically optimal nitrogen fertilizer rates. It also proposes an alternative parameterization of the linear response stochastic plateau model which provides a robustness check against traditional parameterizations. Results show the current use of nitrogen fertilizer in the area exceeds estimated economically optimal levels. This suggests that a reduction in nitrogen use could increase expected profits and simultaneously reduce environmental costs.

Capital and credit constraints limit the small farm’s ability to adequately use resources for optimum performance. Farmers’ access to capital is constrained in multiple ways, including price factors, risk factors, and transaction factors, as well as access to and ease of rural agricultural financing. Using a primary survey data of small farms in Tennessee, we analyzed factors influencing credit constraint and its impact on farm performance. Farm operators’ gender, off-farm work, land acreage holdings, farm specialization, and the use of smart phone with Internet significantly influenced credit constraint. We found that the financial performance of credit constrained small farmers was significantly lower than that of unconstrained small farmers—an adverse impact of constrained capacity to credit could result in up to $51,000 lower in gross farm sales. Additionally, our reason-specific results within credit constraint suggested that around $32,000 to $39,000 lower performance in gross sales can be attributable to the constrained borrowing with deficit to obtain agricultural loans at required or desired level.

Crop insurance is the cornerstone program of domestic farm policy in most developed countries. Although most countries’ rating methodology corrects for time-varying movements in the first two moments, it is unclear whether using the entire yield series remains appropriate.  We use distributional tests and an out-of-sample retain-cede rating game to answer whether governments/insurers should historically trim yields in estimating their premium rates. Despite small sample sizes and the need to estimate tail probabilities, the historical data appear to be sufficiently different such that trimming is justified.

Population growth and rising incomes have led to increasing global demand for meat products. Meeting this demand without converting remaining natural ecosystems or further degrading ecosystems is one of the largest global sustainability challenges. A critical step to overcoming this challenge is to increase the productivity of livestock grazing systems, which occupy the largest land area of any type of agriculture globally. Integrated crop−livestock systems (iCL), which re-couple crop and livestock production at the farm scale, have been considered a promising strategy to tackle this challenge by restoring degraded pasturelands and providing supplemental nutrition to livestock. However, few studies have analyzed the economic viability of such systems, especially in Brazil, an important player in global food systems. This paper presents an economic analysis of iCL in Mato Grosso, Brazil, the largest grain and beef producer in the country, which spans the ecologically diverse Amazon, Cerrado and Pantanal biomes. We compare the economic performance of an integrated soybean/corn and beef cattle system to a continuous crop (soybean/corn) system and a continuous livestock (beef cattle) production system from 2005 to 2012. We use empirical case study data to characterize a ‘typical’ farm for each production system within the study region. We find that the integrated crop−livestock system has a higher annual net present value (NPV) per hectare (ha) than continuous cropping or livestock under a range of discount rates. However, under a scenario of substantially higher crop prices, the continuous cropping outperforms iCL. While iCL is not feasible in all regions of the Amazon and Cerrado, our results indicate that in places where the biophysical and market conditions are suitable for production, it could be a highly profitable way to intensify cattle production and potentially spare land for other uses, including conservation. Nevertheless, additional credit and technical support may be needed to overcome high upfront costs and informational barriers to increase iCL areas as a sustainable development strategy for agriculture in the Amazon and Cerrado regions.

Adverse weather-related risk is a main source of crop production loss and a big concern for agricultural insurers and reinsurers. In response, weather risk hedging may be valuable, however, due to basis risk it has been largely unsuccessful to date. This research proposes the Lévy subordinated hierarchical Archimedean copula model in modelling the spatial dependence of weather risk to reduce basis risk. The analysis shows that the Lévy subordinated hierarchical Archimedean copula model can improve the hedging performance through more accurate modelling of the dependence structure of weather risks and is more efficient in hedging extreme downside weather risk, compared to the benchmark copula models. Further, the results reveal that more effective hedging may be achieved as the spatial aggregation level increases. This research demonstrates that hedging weather risk is an important risk management method, and the approach outlined in this paper may be useful to insurers and reinsurers in the case of agriculture, as well as for other related risks in the property and casualty sector.

This study contributes to the literature by using a spillover index method to examine the changing interrelations in volatility among corn and energy future prices. This methodology allows us to account for endogenously determined economic fundamentals and market speculation. After controlling for market trends and seasonality, we find relative large increases in volatility spillovers between corn, crude oil, and ethanol futures prices. Our results suggest that the cross-commodity spillovers provide useful incremental information in determining future price volatility; however, a commodity's own dynamics explain the largest portion of volatility spillovers.

This study explores how participation in direct and intermediated marketing channels and key operational factors influence agricultural producers’ financial performance. Accordingly, we divide the sample of local and regional food marketers into quartiles segmented by profitability performance as an initial exploration of how strong and weak performance may vary across scale, location, and choice of direct and intermediated channels. Moreover, other financial metrics that vary across types of producers and performance-based quartiles are analyzed. This paper provides initial evidence that participation in direct and intermediated markets may allow farms of any scale of sales volume to be financially viable.