Nonlinearities in the U.S. corn‐ethanol‐oil‐gasoline price system

We use a smooth transition vector error correction model to assess price relationships within the U.S. ethanol industry. Monthly ethanol, corn, oil, and gasoline prices from 1990 to 2008 are used in the analysis. Results indicate the existence of long‐run relationships among the prices analyzed. Strong links between energy and food prices are identified.     

Food–oil volatility spillovers and the impact of distinct biofuel policies on price uncertainties on feedstock markets

Over recent decades, the link between crude oil and agricultural markets has been reinforced following the introduction of biofuels. We use timely measures of (co)variation spillovers to analyze the role of crude oil in shaping price uncertainties of agricultural commodities, which are largely used as biofuel feedstocks. Our sectoral- and market-specific measures distinguish tranquil (1995–2005) and crisis episodes (2006–2015), as well as periods during which either consumption mandates or tax credits were enacted to spur biofuels. During the crisis period, crude oil volatility transmissions account for 16% (20%) of price uncertainties in ethanol (biodiesel) feedstock markets on average. Moreover, we find evidence of enhanced volatility transmissions under tax credit regimes compared with consumption mandates. The results from pooled regressions confirm stronger volatility transmissions by about 12% under the enactment of tax credits.     

The integration of energy and agricultural markets

This article addresses the evolving links between energy and agricultural markets. Prior to 2005, there was little correlation between energy and agricultural commodity prices. In 2006–2008, with the ethanol boom in the United States, there emerged a strong link between crude oil, gasoline, and corn prices. There was little link between ethanol and corn. However, in late 2008 and 2009, the markets changed as ethanol production came under severe economic pressure and 2 billion out of 12 billion gallons of capacity shut down. During this period ethanol became priced more on corn, as the breakeven corn price helped drive the ethanol market. This article explores the drivers in these markets as well as other major issues facing the corn ethanol industry in the United States such as the blend wall. The article concludes with a review of prospects of a future cellulosic biofuels industry.     

Competitive Storage,Biofuels and the Corn Price

The use of corn as an ethanol feedstock has been stimulated by US biofuels policy. This has changed both the position and the slope of the corn demand curve and increased the pass-through from crude oil to corn prices. The principal constraints on ethanol consumption and production have been regulation (the biofuels mandate), capacity constraints in ethanol refining and the blend wall, which puts a ceiling on the ethanol content of gasoline. The incidence of these constraints has varied over time. We model these impacts within the competitive storage model using structural break regression analysis. Our analysis shows that the pass-through has varied over time in relation to the share of ethanol in total US corn use. Our analysis provides robust empirical evidence of an increase in the pass-through from crude oil to corn prices over the period from the start of the century to a high level over 2004–2008 when corn use in ethanol was growing very fast. This enhanced sensitivity was driven by competition for corn as an ethanol feedstock with stock demand exerting strong upward pressure on the corn price.     

Bayesian Estimation and Selection of Nonlinear Vector Error Correction Models: The Case of the Sugar-Ethanol-Oil Nexus in Brazil

Nonlinear adjustment toward long-run price equilibrium relationships in the sugar-ethanol-oil nexus in Brazil is examined. We develop generalized bivariate error correction models that allow for cointegration between sugar, ethanol, and oil prices, where dynamic adjustments are potentially nonlinear functions of the disequilibrium errors. A range of models are estimated using Bayesian Monte Carlo Markov Chain algorithms and compared using Bayesian model selection methods. The results suggest that the long-run drivers of Brazilian sugar prices are oil prices and that there are nonlinearities in the adjustment processes of sugar and ethanol prices to oil price but linear adjustment between ethanol and sugar prices.     

The Economics of a Blend Mandate for Biofuels

A biofuel blend mandate may increase or decrease consumer fuel prices with endogenous oil prices, depending on relative supply elasticities. Biofuel tax credits always reduce fuel prices. Tax credits result in lower fuel prices than under a mandate for the same level of biofuel production. If tax credits are implemented alongside mandates, then tax credits subsidize fuel consumption instead of biofuels. This contradicts energy policy goals by increasing oil dependency, CO₂ emissions, and traffic congestion, while providing little benefit to either corn or ethanol producers. These social costs will be substantial with tax credits costing taxpayers $28.7 billion annually by 2022.     

Institutional Environment and Technical Efficiency: A Stochastic Frontier Analysis of Cotton Producers in West Africa

This paper examines the effects of the institutional environment on West African cotton farmers’ technical efficiency (TE). First, key aspects of the cotton sector institutional environment are discussed, including input and credit access, and producers’ organisations. Then, a stochastic frontier production function, which incorporates technical inefficiency effects, is applied to farm level data collected in Benin, Burkina Faso and Mali. The survey includes farmers’ evaluations of the cotton sector institutional environment. Results suggest that institutional level features influence producers’ TE, besides farm‐level characteristics. Cotton growers who report a negative experience with the joint liability programme, who identify the cotton price mechanism or access to credit as the main constraints to performance, and who cultivate more hectares of cereals are technically more inefficient in producing cotton. Findings suggest that cotton farmers in Mali are less technically efficient in producing cotton than in Burkina Faso and Benin. Agricultural development policies focusing on reducing farmers’ financial stress, particularly through the establishment of adequate price mechanisms (i.e. higher farm‐gate prices and timely payments to farmers) and improvement in the input–credit markets should be encouraged to improve TE in West Africa.     

Technology,market policies and institutional reform for sustainable land use in southern Mali

To identify appropriate interventions that support sustainable land use; a farm household modelling approach is applied to analyze micro-economic supply reactions to various policy measures. The modelling framework links agro-technical and economic data, and takes both production and consumption decisions into account, allowing land use and production technology adjustments in accordance with farm household objectives. Different types of farm households are distinguished on the basis of their resource endowments, savings coefficients and time discount rate. Actual and alternative (sustainable) cropping and livestock activities for different weather regimes are defined for southern Mali. The effects on sustainable land use and expected farm household welfare of adopting alternative technologies and modifying prices, transaction costs, access to credit and land taxes are demonstrated. Even with full information on sustainable technologies, strong policy interventions are required to halt soil degradation. Structural policies proved to be more effective than price policies to reduce soil degradation while maintaining positive income effects. When prices are determined endogenously, structural policy loses some effectiveness as an incentive for sustainable land use due to the effect of additional supply on local cereal and meat Prices.     

Modeling price transmission between farm and retail prices: a soft switches approach

Vector error correction models (VECM) are used to model price transmission when farm and retail prices are cointegrated. To allow for nonlinearity in the cointegration process, researchers may specify thresholds to break the error correction process into regimes according to whether the retail price is above, below, or close to its equilibrium value given farm prices.  However, because the coefficients in a VECM can change when there is movement from one regime to another, the model can be discontinuous.  This implies sudden, “hard” regime changes. In this study, we extend the threshold VECM to include features of smooth transition autoregression (STAR) models. Our approach allows for gradual, soft regime changes.  An empirical application to retail cheese and farm milk prices is presented.     

Collateral‐free lending with risk‐contingent credit for agricultural development: indemnifying loans against pulse crop price risk in India

This article addresses the problem of collateral‐free lending in the context of agricultural development. We investigate a viable alternative to traditional credit products through the development of risk‐contingent credit for operating loans and farm mortgages and apply the concept to agricultural loans for pulse crops in India. Risk‐contingent credit mitigates business and financial risk by reducing debt obligations depending on the embedded commodity options whose payoffs are linked with commodity price fluctuations. We analyze daily commodity spot prices for pulse crops in India and show how risk‐contingent structured financial instruments can be priced in practice.     

Can the U.S. ethanol industry compete in the alternative fuels market?

The U.S. ethanol fuel industry has experienced preferential treatment from federal and state governments ever since the Energy Tax Act of 1978 exempted 10% ethanol/gasoline blend (gasohol) from the federal excise tax. Combined with a 54c/ /gal ethanol import tariff, this exemption was designed to provide incentives for the establishment and development of a U.S. ethanol industry. Despite these tax exemptions, until recently, the U.S. ethanol fuel industry was unable to expand from a limited regional market. Ethanol was dominated in the market by MTBE (methyl‐tertiary‐butyl ether). Only after MTBE was found to contaminate groundwater and consequently banned in many states did the demand for ethanol expand nationally. Limit pricing on the part of MTBE refiners is one hypothesis that may explain this lack of ethanol entry into the fuel‐additives market. As a test of this hypothesis, a structural vector autoregression (SVAR) model of the ethanol fuel market is developed. The results support the hypothesis of limit‐pricing behavior on the part of MTBE refiners, and suggest the U.S. corn‐based ethanol industry is vulnerable to limit‐price competition, which could recur. The dependence of the corn‐based ethanol price on supply determinants limits U.S. ethanol refiners' ability to price compete with sugar‐cane‐based ethanol refiners. Without federal support, U.S. ethanol refiners may find it difficult to compete with cheaper sugar‐cane‐refined ethanol, chiefly from Brazil.     

Effect of soil heterogeneity on the welfare economics of biofuel policies

Biofuel policies (blend mandate or tax credit) have impacts on food and energy prices, and on land-use. The magnitude of these effects depends on the market response to price, and thus on the agricultural supply curve, which, in turn, depends on the land availability (quantity and agronomic quality) and relative prices. To understand these relationships, we develop a theoretical framework with an explicit representation of land heterogeneity. The elasticity of the supply curve is shown to be non-constant, depending on land heterogeneity and the availability of land for agricultural expansion. This influences the welfare economics of biofuels policies, and the possible carbon leakage in land and fuel markets. We emphasize that the impacts of biofuel policies on welfare and land-use change depend strongly on the potential development of the agricultural sector in terms of expansion and intensification, and not only on its current size.     

The optimal export tax for a primary commodity in a vertical market

The conventional formula for the optimal export tax (derived from a partial equilibrium model that ignores importers’ welfare) is extended to include the deadweight loss to the domestic economy associated with the tax. Applying the extended formula to the tax Russia imposes on its exports of logs, results suggest ignoring the marketing channel causes the optimal export tax for a primary commodity to be understated. The degree of understatement increases as the supply of logs and processing/marketing inputs become less price elastic, and as buyer and seller power in the downstream (lumber) industry increases. For plausible values of model parameters, however, the degree of understatement is modest, less than 19%.     

Incomplete Credit Markets and Commodity Marketing Behaviour

We use a simple theoretical model of seasonal market participation in the presence of liquidity constraints and transaction costs to explain the ‘sell low, buy high’ puzzle in which some households do not take advantage of inter‐temporal price arbitrage through storage and sell output postharvest at prices lower than observed prices for purchases in the subsequent lean season. We test our model with data from western Kenya using maximum likelihood estimation of a multivariate sample selection model of market participation. Access to off‐farm income and credit indeed seem to influence crop sales and purchase behaviours in a manner consistent with the hypothesised patterns.     

Measurement of greenhouse gas emissions from agriculture: economic implications for policy and agricultural producers*

If agriculture were to be included in Australia’s carbon price scheme, a key decision for government would be how to estimate greenhouse gas emissions. We explore the consequences of three different methods for measuring on‐farm emissions: national accounting methods, an amended version of those methods and use of best‐available local data. Estimated emissions under the three methods can vary widely; for example, on a case study farm in Western Australia, local data indicated 44 per cent lower emissions than did the national accounts method. If on‐farm emissions are subject to an emissions price, the impact on farm profit is large and varies considerably with different measurement methods. For instance, if a price of $23/t of CO2‐e applies then farm profit falls by 14.4–30.8 per cent depending on the measurement method. Thus, the choice of measurement method can have large distributional consequences. On the other hand, inaccurate measurement results in relatively minor deadweight losses. On‐farm sequestration through reafforestation may lessen the impact of an emissions price on farm businesses, although it will require a high carbon price to be viable, especially if sequestration rates are underestimated or low.     

El Niño southern oscillation and its effects on world vegetable oil prices: assessing asymmetries using smooth transition models

In this research, we examine the effects of El Niño southern oscillation (ENSO) on market dynamics of major vegetable oil prices. We adopt a smooth transition vector error correction modelling framework to analyse the impacts of ENSO events on the vegetable oil prices and, more interestingly, to investigate the asymmetric nature of the ENSO dynamics and price responses to ENSO shocks. The results confirm self‐exciting type nonlinearities in the ENSO dynamics, and presence of the so‐called transactions cost band in the system of vegetable oil prices. These nonlinearities yield the history‐specific asymmetries in the vegetable oil price dynamics, wherein effects of ENSO shocks on the ENSO dynamics and the vegetable oil prices vary considerably between different ENSO regimes. In general, positive deviations, El Niño events, result in the vegetable oil price increase, while negative deviations, La Niña events, result in decrease in the prices. We illustrate these effects using generalised impulse‐response functions and the derived asymmetry measures.     

Price transmission,asymmetric adjustment and threshold effects in the cotton supply chain: a case study for Vidarbha,India

This study examines price transmission asymmetries in Vidarbha's (India) cotton supply chain from 2002 to 2012. The analysis takes account of thresholds in price adjustments toward their long‐run equilibrium. The first stage considers the price dynamics between international and Indian domestic cotton prices. The second stage considers price transmission from domestic to farm gate cotton prices in Vidarbha. Results from the first stage indicate that Indian and international cotton markets are well‐integrated. In contrast, the second stage reveals significant threshold‐type nonlinearities as well as asymmetries in price transmission between domestic and farm gate prices. The short‐run dynamics suggest that the pass‐through from domestic to farm gate prices is larger when domestic prices decrease than when they increase. Moreover, back of the envelope calculations suggest that the loss in revenue for a typical farmer from a decrease in domestic price is larger than the gains from an increase in domestic price of the same magnitude. The implication is that traders benefit from price fluctuations at the expense of farmers. Evidence from fieldwork in Vidarbha suggest that asymmetries revealed in this analysis may be linked to trader's market power and inadequate market information among farmers.     

A FARM GROWTH MODEL FOR POLICY ANALYSIS IN AN EXTENSIVE PASTORAL PRODUCTION SYSTEM

The development of a simulation model of an extensive pastoral farming system to assist analysts in their assessment of government policy measures is described. The model was designed to simulate, over a number of years, the physical and financial operation of a sheep and beef production system typically found in the North Island hill country of New Zealand. By manipulating model parameters and data related to prices, costs, taxation and credit, a range of policies can be represented and their effects simulated. The model is used to undertake an ex post analysis of the farm-level impact of the supplementary minimum price scheme in New Zealand and to project farm performance following the abolition of the scheme. Consideration is given to the use of the model to represent sheep and beef production systems elsewhere.     

食品安全丑闻报道与产销价格传导——基于中国猪肉市场的经验研究

本文利用主流媒体对猪肉质量安全事件的新闻报道构造食品安全丑闻报道指数,首次从媒体报道视角分析食品安全丑闻对中国猪肉供应链产销价格传导的影响。平滑转换误差修正模型检验结果表明:(1)食品安全丑闻报道是决定产销价格传导关系的门槛变量,当食品安全丑闻报道指数处于门槛值以内时,产销价格传导表现为线性关系,超出门槛值以后,则表现为非线性关系,但更多时候表现为非线性关系;(2)食品安全丑闻报道对产销价格具有非对称冲击效应,生猪价格比猪肉价格对冲击的反应程度更大、持续时间更长。这种非对称冲击效应不仅会打破产销价格波动的固有规律,也会加剧供应链上福利分配不均衡,处于弱势地位的养殖户更容易遭受福利损失。进一步采用向量自回归模型进行脉冲响应分析,结果仍然支持上述结论。     

Agricultural Policies and Structural Change in French Dairy Farms: A Nonstationary Markov Model

The aim of this paper is to gain an understanding into how agricultural policies have affected structural change in the French dairy sector. A nonstationary Markov model is estimated using a Generalized Cross Entropy approach. Results show that while the price of cow's milk encourages farm growth, direct payments and quota restriction favor small farms. The price signal is a key factor of structural change. As a result, higher milk prices may accelerate the trend toward the further growth of dairy farms. Settlement policy and technical change seem not to slow this trend.