Differential uncertainties and risk attitudes between conventional and organic producers: the case of Spanish arable crop farmers

The growing importance of economic factors in farmers' decisions to go organic has raised interest in characterizing the economic behavior of organic versus conventional farms. In general, published analyses so far have not considered differential uncertainties, abilities to control production risk, and farmers' risk preferences between conventional and organic practices when comparing these techniques. Our article attempts to assess this issue. We use a model of farmer decision under risk to analyze the differential values between organic and conventional Spanish arable crop farms and to assess the incentives for adoption of organic practices. Results show that organic and conventional farms do have different production risks as well as different aversions to risk. Organic price premiums and subsidies are found to be powerful instruments to motivate adoption of organic techniques.     

Analysis of a supply-control program under uncertainty and imperfect competition: Chinese cabbage in Taiwan

Researchers have often attributed the farm–wholesale price spread, after adjusting for marketing costs, as compensation for marketing firms' risk bearing. However, price spreads in excess of marketing costs can also be due to marketing firms' exercise of market power. In settings where both imperfect competition and marketer risk aversion are plausible, a modeling framework must be sufficiently general to accommodate both types of behavior. This article develops and estimates such a model in the context of fresh produce marketing and develops the implications for analysis of supply‐control programs. The model is applied to the production and marketing of Chinese cabbage in Taiwan and specifically to the analysis of supply‐control programs implemented in this industry by the Taiwanese government. The empirical results provide little support for the hypothesis that marketing firms exhibit risk averse behavior, but they do show that marketing firms exercise oligopsony power in procurement of the product from farmers, and that this power is positively related to the quantity supplied in each market period. This provides a heretofore unexplored impetus for supply controls intended to raise producer incomes. However, such controls are also rendered less effective by imperfect competition because marketing firms capture part of the benefits from supply reduction.     

Effects of subsidized crop insurance on crop choices

This study focuses on how subsidized crop insurance affects crop choices. Crop insurance may change farm investments by reducing risks and providing subsidies. First, actuarially fair insurance reduces risks in crop production and marketing, holding the expected return constant. Second, insurance subsidies encourage farms to purchase crop insurance, which increases the expected return to insured risky crops. Farms also have many self‐insurance mechanisms such as crop diversification or working off the farm. We derive conditions under which (1) unsubsidized and actuarially fair crop insurance or (2) insurance premium subsidies lead to more investment in a risky higher return crop. We then examine the role of self‐insurance for these conditions. The impact of premium subsidies is decomposed into a direct profit effect and an indirect coverage effect. These effects are explained by substitutions between market insurance and self‐insurance and between a risky crop and a safe crop. We discuss each effect as a combination of subsidy and risk effects. Numerical illustrations show that an insurance subsidy has a larger impact on risky crop investments compared to that of an input subsidy when farms are more risk‐averse and have high costs of self‐insurance. The framework provides a novel way to evaluate subsidized crop insurance programs.     

风险区划下棉花“保险+期货”定价与运行机制分析——以山东省为例

目的 棉花“保险＋期货”模式的出台对保障棉农收入起着至关重要的作用,但随着地区差异性增强、生产成本上升、目标价格统一不变等问题的出现导致该模式的作用有所减弱。方法 文章基于2021—2022年棉花期现货价格数据,运用蒙特卡洛模拟法计算统一费率,运用熵值法对各地级市棉花价格风险进行综合评价,并运用聚类分析法对棉花种植区域进行风险区划。结果 （1）棉花价格风险主要集中于鲁西北和鲁西南地区,专业化程度是产生价格风险的主要原因;（2）修正目标价格和保险费率后,高风险区和次高风险区目标价格高于全省平均水平,保险费率增长速度随保障水平提高而降低;（3）通过构建期货市场、现货市场与保险公司的信息联动机制,拓宽了信息交流的渠道。结论 为更好地发挥“保险+期货”保障农民收入的作用,提出针对不同风险区域,实施精细化产品设计;多方主体相互配合,减轻地方政府保费压力两点建议。     

Developing Hedging Strategies for Québec Hog Producers under Revenue Insurance

The paper investigates the optimal hedging strategies of Québec hog producers when they participate in a publicly funded revenue insurance program known as ASRA (Régime d'assurance-stabilisation des revenus agricoles). A forecast model of local cash and futures prices is built and Monte Carlo methods are used to derive the optimal futures and option positions of Québec hog producers. The positive correlation between forecasts of futures and cash spot prices induces positive sales of futures and put options to hedge price risk. ASRA provides put options to hog producers at actuarially advantageous terms. Producers can increase the expected utility of profits by selling back a portion of these put options using financial markets. Options are attractive to manage price risk given the nonlinearity in the profit function induced by the revenue insurance scheme. Speculative incentives to use futures and options are also discussed in the context of ASRA.     

Time‐varying Hedge Ratios: A Principal‐agent Approach

We use the classic agency model to derive a time‐varying optimal hedge ratio for low‐frequency time‐series data: the type of data used by crop farmers when deciding about production and about their hedging strategy. Rooted in the classic agency framework, the proposed hedge ratio reflects the context of both the crop farmer's decision and the crop farmer's contractual relationships in the marketing channel. An empirical illustration of the Dutch ware potato sector and its futures market in Amsterdam over the period 1971–2003 reveals that the time‐varying optimal hedge ratio decreased from 0.34 in 1971 to 0.24 in 2003. The hedging effectiveness, according to this ratio, is 39%. These estimates conform better with farmers’ interest in using futures contracts for hedging purposes than the much higher estimates obtained when price risk minimisation is the only objective considered.     

More reasons why farmers have so little interest in futures markets

The use by farmers of futures contracts and other hedging instruments has been observed to be low in many situations, and this has sometimes seemed to be considered surprising or even mysterious. We propose that it is, in fact, readily understandable and consistent with rational decision making. Standard models of the decision about optimal hedging show that it is negatively related to basis risk, to quantity risk, and to transaction costs. Farmers who have less uncertainty about prices and those with a diversified portfolio of investments have lower optimal levels of hedging. If a farmer has optimistic price expectations relative to the futures market, the incentive to hedge can be greatly reduced. And finally, farmers who have low levels of risk aversion have little to gain from hedging in terms of risk reduction, in that the certainty‐equivalent payoff at their optimal hedge may be little different than the certainty equivalent under zero hedging. These reasons are additional to the argument of Simmons (2002) who showed that, if capital markets are efficient, farmers can manage their risk exposure through adjusting their leverage, obviating the need for hedging instruments.     

Managing economic risk in value-based marketing of fed cattle

This research investigates optimal price risk management strategies for fed cattle producers engaged in grid pricing. Stochastic simulation is used to determine optimal hedge ratios for fed cattle priced on a live weight basis or on a series of grids that vary in terms of premium/discount structure as well as base price. Results indicate that the optimal hedging strategy is greatly affected by the base price used in a particular grid. This has significant implications for pricing efficiency in the cattle market. Base prices that are linked more closely with downstream markets offer the potential to improve pricing efficiency; however, the risk associated with these prices is difficult to manage effectively with existing futures instruments.     

How financial investment distorts food prices: evidence from U.S. grain markets

Convergence between commodity futures prices and the underlying physical assets at each contract's expiration date is a pivotal condition for the market's functioning. Between 2005 and 2010, convergence failed for several U.S. grain markets. This article presents a price pressure‐augmented commodity storage model that links the scale of nonconvergence to financial investment channeled through indices, which are traded in commodity futures markets. The model is empirically tested, using Markov regime‐switching regression analysis. Regression results strongly support the model's predicted link between index investment and the extent of nonconvergence for three grains traded at the Chicago Board of Trade: wheat, corn, and soybeans.     

Futures markets and price stabilisation: An analysis of soybeans markets in North America

The objective of this paper was to determine whether the futures markets have a stabilising or destabilising impact on soybean's spot prices in North America. Directed acyclic graphs (DAGs) are used to test for causality between futures prices, spot prices and ending stocks, followed by time series econometric analysis. The DAGs point to the two-way causal link between futures and spot prices and a lack of a causal link between inventory/stocks and spot price volatility. Time series results, including cointegration, vector error correction, impulse response and variance decomposition analysis, indicate a large impact from futures markets on the level and volatility of soybean spot prices in both the short and long run. These results have potentially important implications, as the impact of commodity price volatility is typically asymmetric across different actors. Farmers, for example, unlike speculators, utilise price risk management (PRM) instruments such as futures markets to mitigate price risks and appear to suffer from intensified volatility precisely because of their use of these instruments. Therefore, additional policies to cope with commodity price volatility, such as direct price controls or mitigation of consequences, can have critical stabilising functions supporting farmers' welfare and regional (rural) development.     

The use of organized commodity markets to manage food import price instability and risk

The article explores the possibility of insuring the price risks of wheat and maize imports of low‐income food‐deficit countries (LIFDCs). Optimal strategies for an importing agent, who hedges with futures and options are derived, based on the objective of minimizing the unpredictability of import bills. Ex post simulations for a set of LIFDCs are run on wheat and maize imports hedged with futures and options in the Chicago Board of Trade, to explore the extent to which hedging reduces the unpredictability in import bills. Simulations encompass both periods of normal price behavior, as well as the period of global upheaval that occurred in 2007 and 2008. Results show that hedging with futures alone affords agents considerable opportunities for reducing import cost unpredictability, and the same holds with options, albeit, to a lesser extent. However, during the recent price spike of 2007–2008, hedging with options would have increased the unpredictability of some countries’ maize import bills, due to the combination of erratic import patterns and pronounced market uncertainty.     

Futures Markets and Spot Price Volatility: A Case Study

Futures markets, where they exist, can play a crucial role in determining the storage decision in the underlying spot (physical) market. The futures market acts as a conduit for market information and is a gatherer of agents' expectations about the future prospects for the spot market. As such, it is able to provide both price insurance and price discovery roles, the latter of which generates information for spot market traders and allows them to make rational storage decisions. If this were to be the case, then the efficiency of storage is improved which can potentially lead to a reduction in the volatility of spot prices over the marketing season. The existing literature is ambiguous as to whether futures markets can help spot markets price more efficiently. This paper seeks to examine whether this is the case in the British maincrop potato market by evaluating the volatility of spot prices over the period 1969–96 in a “before-after” analysis of the impact of the introduction of futures trading in 1980. The results suggest that the introduction of the futures market has led to a reduction in price volatility, despite some problems in the operation of the futures market itself.     

A speculative bubble in commodity futures prices? Cross‐sectional evidence

Recent accusations against speculators in general and long-only commodity index funds in particular include: increasing market volatility, distorting historical price relationships, and fueling a rapid increase and decrease in the level of commodity prices. Some researchers have argued that these market participants—through their impact on market prices—may have inadvertently prevented the efficient distribution of food aid to deserving groups. Certainly, this result—if substantiated—would counter the classical argument that speculators make prices more efficient and thus improve the economic efficiency of the food marketing system. Given the very important policy implications, it is crucial to develop a more thorough understanding of long-only index funds and their potential market impact. Here, we review the criticisms (and rebuttals) levied against (and for) commodity index funds in recent U.S. Congressional testimonies. Then, additional empirical evidence is added regarding cross-sectional market returns and the relative levels of long-only index fund participation in 12 commodity futures markets. The empirical results provide scant evidence that long-only index funds impact returns across commodity futures markets.     

Cotton market integration and the impact of China's new exchange rate regime

This article studies the integration of China's cotton market with the international market, especially the U.S. market. Investigating the futures prices from the Intercontinental Exchange (ICE) in the U.S. and the Zhengzhou Commodity Exchange (ZCE) in China with several time series models, we find that a long‐run cointegration relationship exists between these two series. The two markets share price transmissions, and based on results from an Autoregressive Conditional Heteroskedasticity (ARCH) model, we find their price volatilities are similar. We argue that China's recent exchange rate reform and its gradual liberalization in bilateral cotton trade since it joined World Trade Organization have had important impacts on these futures markets. Based on these findings, several important economic and policy implications are derived.     

Revisiting the determinants of futures contracts success: the role of market participants

The Chicago Mercantile Exchange introduced a futures contract for distillers’ dried grains (DDGs) in early 2010, but the market became inactive only four months after its inception. While many new futures contracts do not develop into high‐volume traders, interest from DDG cash market participants indicated that this contract could be successful. Prompted by the unexpected lack of trading activity in this new futures market, we empirically revisit the question of what factors contribute to a futures contract's success and extend the literature by investigating the roles of market participants and the significance of supporting futures markets. Estimation results indicate that the market participant type—hedger or speculator—affects futures contract trade volume. More importantly, we find that the viability of new futures contracts for commodities that are jointly produced with other commodities is impacted by hedgers’ trade volume of the related futures contract. These results provide important additions into the portfolio of indicators used by commodity exchanges to more cost‐effectively evaluate new futures contract products.     

Designing Optimal Crop Revenue Insurance

When the indemnity schedule is contingent on the farmer's price and individual yield, an optimal crop revenue insurance contract depends only on the farmer's gross revenue. However, this design is not efficient if, as is the case with available contracts, the coverage function is based on imperfect estimators of individual yield and/or price. The producer's degree of prudence and the extent of basis risks have important influences on the optimal indemnity schedule. In this broader context, optimal protection is not provided by available U.S. crop insurance contracts and may include combinations of revenue insurance, yield insurance, futures, and options contracts.     

Spatial price efficiency in Mozambique's post-reform maize markets

Maize (Zea mays) shortages and maize price instability continue to occur in Mozambique in spite of policy reforms and great capacity for increased production in northern Mozambique. This study measured the efficiency of spatial maize price arbitrage in Mozambique's post‐reform period. Spatial price inefficiency does not seem to explain why food shortages continue to occur in Mozambique, suggesting nonprice market constraints such as poor infrastructure and poor market institutions as more likely explanations. Baulch's spatial efficiency test indicated that it is not profitable to ship maize from northern surplus maize regions to southern Mozambique. Records of interregional maize shipments show that indeed grain is not being shipped from the north to the south. Market liberalization may have improved spatial price efficiency, but high transfer costs still limit trade and potential benefits from freeing markets. Under these circumstances, food shortages and price instability are likely to continue.     

Moral hazard and subsidized crop insurance

Along with adverse selection, moral hazard is one of the major hurdles that private and public insurance plans must contend with. Moral hazard occurs if risks are endogenous to a producer's behavior and if the insurer is unable to properly monitor the insured. We review the role of moral hazard in the US crop insurance program. We conduct an empirical analysis of one important aspect of the US crop insurance program—prevented planting. This provision provides indemnity payments if conditions are not suitable for planting. The program has been the subject of considerable controversy, especially during 2019, when the rate of claims is expected to be especially high. Because loss adjustors may encounter difficulties in assessing the weather conditions associated with prevented planting claims, the program is susceptible to moral hazard. We consider the extent to which prevented planting claims may be endogenous to prices. We find significant evidence of moral hazard. The likelihood of prevented planting claims increases as the expected market price decreases or as fertilizer costs increase for corn and soybeans in the Prairie Pothole Region and for grain sorghum and cotton in all states.     

Price premiums,payment delays,and default risk: understanding developing country farmers’ decisions to market through a cooperative or a private trader

Smallholder farmers in developing countries face a competitive disadvantage in modern agricultural supply chains. Joint marketing through cooperatives is a potential tool to mitigate these disadvantages; yet cooperatives’ success in these settings is uneven at best. We develop an analytical model to study a farmer's choice of selling to a private trader who pays cash on delivery but may exercise market power or a cooperative that promises a price premium but delays payment and carries a concomitant risk of default. In the presence of impatient and risk‐averse farmers, we show that these factors can severely limit smallholder patronage of a cooperative, despite a promised price premium. We then construct and parameterize a simulation model to fit a profile of heterogeneous farmers within a prototype developing‐country village, and study the optimal decisions of farmers regarding marketing through a cooperative versus a private trader. Results suggest that modest improvements in either timeliness of payment or probability of default can induce a substantial increase in a cooperative's market share and economic viability. Extending the simulation analysis to a dynamic setting shows how implementing reasonable policies to improve a cooperative's payment timeliness and default probability can markedly improve its growth trajectory.     

Economic analysis of the introduction of agricultural revenue insurance contracts in Spain using statistical copulas

This article aims at determining how the introduction of agricultural revenue insurance contracts in Spain will affect the cost of purchasing insurance, relative to yield insurance schemes. We focus our empirical analysis on the apple and orange sectors in Spain. Statistical copulas are used to jointly model price and yield perils. Premium rates under revenue and yield insurance are simulated through Monte Carlo methods. Results indicate that revenue insurance is likely to reduce the price of agricultural insurance in Spain, which may result in higher acceptance and demand for agricultural insurance programs.