Price relationships between qualitatively differentiated agricultural products: organic and conventional wheat in Germany

Organic agriculture, which produces commodities that can be qualitatively differentiated from conventional food products, has grown into an important market in many countries. The dynamics of commodity prices in both sectors are partly interdependent, but are also shaped by independent determinants and have rarely been studied. We analyze organic food markets and their interdependencies with conventional markets in the context of wheat markets in Germany, which have been subject to a number of fundamental changes during the last two decades. Based on institutional market characteristics, we suggest a flexible Markov‐switching asymmetric time series model. We find a pronounced temporal sequence of market phases that differ in their asymmetric dynamics and the extent to which the organic price is influenced by the conventional price. Organic wheat prices tend to be increasingly connected to prices of conventional wheat.     

Nutrient effects in consumer demand systems: evidence from panel data

This papers aims to analyse the demand for main food groups in Spain. Apart from the traditional economic factors (prices and income), our theoretical framework incorporates the nutrient composition of food into a demand model in the form of food attributes, as a proxy to take into account the rising consumer concern about the relationship between diet and health. A CBS functional form is chosen for the empirical model, which is estimated using a complete panel data set. Ten broad categories, nine nutrients and the most relevant socio-economic variables have been considered. Finally, after employing an appropriate selection strategy, the chosen model is used to calculate expenditure, price and nutrient elasticities, as well as the main socio-demographic effects. Results indicate that the introduction of nutrient-based determinants generates elasticities that differ from those obtained when only economic factors are included, particularly in the case of price elasticities. As the nutrients effect is incorporated in the model through adjusted prices, unhealthier food groups (cereals, white meat and eggs, dairy and sugar) become more inelastic as they are associated with higher perceived prices.     

The effects of fair trade on coffee growers: a framework and analysis

The world coffee market has undergone a significant transformation in the past couple of decades resulting in declining farm prices despite the fact that coffee demand has been strong and consumer prices have been soaring. Fair Trade organizations have tried to address this price imbalance by providing an alternative method of trading aimed at increasing the prices received by coffee growers. Despite their noble objectives, Fair Trade movements have had limited success in improving coffee growers’ welfare, however. This paper utilizes a novel framework of heterogeneous producers and relevant market information to provide insights on the market and welfare impacts of the Fair Trade regime when important idiosyncrasies of Fair Trade production and marketing are included in the analysis.     

How to Understand High Food Prices

Agricultural price booms are better explained by common factors than by market‐specific factors such as supply shocks. A capital asset pricing model‐type model shows why one should expect this and Granger causality analysis establishes the role of demand growth, monetary expansion and exchange rate movements in explaining price movements over the period since 1971. The demand for grains and oilseeds as biofuel feedstocks has been cited as the main cause of the price rise, but there is little direct evidence for this contention. Instead, index‐based investment in agricultural futures markets is seen as the major channel through which macroeconomic and monetary factors generated the 2007–2008 food price rises.     

CANADIAN WHEAT ACREAGE RESPONSE*

In spite of the criticisms which have been levied against statistical estimation of supply response, it is used in this study to determine the factors causing yearly fluctuations in Canadian wheat acreage. The estimates are derived from 1947–1966 time series data. In formulating price expectations, both the traditional and distributed lag models are used.
It was found that wheat acreage response is not a random process. From a statistical standpoint, wheat and flax prices, wheat stocks on farms, and export sales did affect farmers' wheat acreage decisions. Among the elasticities computed, those for wheat prices were the largest but generally less than one. Barley prices, rainfall prior to seeding, and cattle prices were also considered but did not appear to have a serious influence on wheat acreage.     

AGRICULTURAL PRICE PROTECTION,IMPORT DEPENDENCE AND ECONOMIC DEVELOPMENT: THE CASE OF WHEAT

This article analyses determinants of agricultural price protection for one important food, wheat, in a pooled cross-country and time-series analysis. For the aggregate sample it is shown that wheat price protection increases with a rising level of economic development and with a growing import dependence in wheat. Beyond this general pattern, the paper shows that the variation in wheat price protection can be significantly better explained if qualitative variables are introduced additionally into the model. For example, in Japan, in the Northern European countries and during the commodity price boom (1973–75), wheat price protection followed a specific pattern. Income elasticities and import-dependence elasticities of wheat price protection are computed for all countries in 1968–80, and additionally for various sub-regions and sub-periods.     

On the Comovement of Commodity Prices

We present strong evidence against the excess-comovement hypothesis—that the prices of commodities move together beyond what can be explained by fundamentals. Prior studies employ broad macroeconomic indicators to explain common price movements, and potentially correlated fundamentals are not controlled for. We use inventory and harvest data to fit a partial equilibrium model that more effectively captures the variation in individual prices. The model explains the majority of the comovements among commodities with high price correlation, and all of the comovements among those with marginal price correlation. Common movements in supply factors appear to play an important role in the observed comovements in commodity prices.     

Price elasticity of water allocations demand in the Goulburn–Murray Irrigation District*

Bid prices for the demand and supply of water allocations between 2001 and 2007, and average monthly prices paid for water allocations from 1997 to 2007 in the Goulburn–Murray Irrigation District are analysed to estimate price elasticities. Based on bid prices, the price elasticity of demand for water allocations appears highly elastic, with elasticities strongly influenced by the season and drought. The price elasticity of supply for water allocations is also elastic, albeit less elastic than demand. Using actual prices paid, water demand is negatively related to price and is inelastic, and appears to be most influenced by demand the previous month, drought and seasonality factors.     

Volatility and Price Jumps in Agricultural Futures Prices—Evidence from Wheat Options

Evidence suggests that agricultural futures price movements have fat-tailed distributions and exhibit sudden and unexpected price jumps. There is also evidence that the volatility of futures prices is time-dependent both as a function of calendar-time (seasonal effect) and time to maturity (maturity effect). This article extends Bates' (1991) jump-diffusion option pricing model by including both seasonal and maturity effects in the volatility specification. Both in-sample and out-of-sample procedures to fit market option prices on wheat futures show that the suggested model outperforms previous published models. A numerical example shows the magnitude of pricing errors for option valuation.     

Duration Analysis of Technological Adoption in Ethiopian Agriculture

Duration analysis has been used to examine the impact of time‐varying and time‐invariant variables on the speed of adoption of fertiliser and herbicide by smallholder farmers in East and West Shewa in the central highlands of Ethiopia in the 25 years preceding 1996. The estimated models suggest that economic incentives were the most important determinants of the time farmers waited before adopting new technologies; traction power in the form of oxen and infrastructural factors (in particular proximity to markets) also appear to have been important influences, but less so than prices. Other agricultural inputs (area of farmland, labour, credit), extension services and farmers' personal characteristics (education, gender, age) appear to have had little, if any, effect on adoption behaviour. There is also evidence that the speed of adoption of herbicide, on both tef and wheat, was slower than that of fertiliser.     

The demand for meat and fish in Spain: Urban and rural areas

The aim of the paper is to explain to what extent meat consumption patterns in Spain are different in rural and urban areas and which are the factors explaining differences and similarities. A demand system using cross-section data from the latest Spanish National Survey has been estimated. Unit values have been used instead of market prices and price and quality effects have been obtained. The main conclusion is that meat consumption patterns in urban and rural areas are not really different as regards economic factors. Some small income and price effect differences have been found, specially for fresh pork and fish, Responses to changes in income and price are higher for fresh pork consumption in rural areas and for fish in urban areas.     

THE DEMAND FOR DOMESTICALLY PRODUCED SAWN TIMBER: AN APPLICATION OF THE DIEWERT COST FUNCTION

The Australian demand for domestically-produced sawn timber is investigated by considering its major use — as an input into residential construction. Using a cost function approach, a system of equations is derived expressing quantities demanded in terms of relative prices. Cross-price elasticities are estimated and the falling input-output ratio of timber in residential construction is analysed by decomposing the change in this ratio into price, outputs and taste/technology effects. A major finding is that, while substitution of timber for other inputs has been encouraged through relative price movements, this effect has been more than offset by taste and technology trends away from timber usage.     

基于面板数据的省会城市居住地价的差异及成因研究

研究目的：基于2000 — 2006年面板数据,分析省会城市居住地价的差异、主要影响因子及其影响程度。研究方法：混合OLS估计方法、固定效应模型和随机效应模型。研究结果：（1）中国省会城市居住地价存在明显的时空差异,2005年及以后地价增长明显,且东部地区地价与中、西部地区的差距进一步拉大;（2）将城市间居住地价的影响因素分为全国宏观经济因素、区域整体差异因素和城市个体因素三个层面,并基于引致需求理论,构建更具实效性的城市居住地价影响因子体系;（3）建成区面积、城市人均GDP、国际旅游收入、2004年8月31日之后土地供应方式的重大转变（正向关系）和房地产开发投资（负向关系）对居住地价有显著影响。研究结论：面板数据模型是中国城市间地价问题定量分析的一个有效工具。     

Hedonic pricing and the role of stud fees in the market for thoroughbred yearlings in Australia

Using data from one of Australia's largest thoroughbred auction houses, we investigate the price determinants of thoroughbred yearlings sold at auction. We include novel key variables to construct hedonic pricing models and examine the relative role of stud fees compared to the wide range of attributes in the pricing of yearlings. We find that the price effect of stud fees is influenced by the value buyers place on both the characteristics of sires and the characteristics of sire side siblings. The findings imply that the quality of dams a sire has been matched within the breeding market has consequential effects on yearling prices through the sire's stud fee and progeny.     

Evaluating price transmission between global agricultural markets and consumer food price indices in the European Union

This paper uses error correction models to evaluate the extent to and speed at which world agricultural commodity price movements affect consumer food prices in the European Union member states. We consider three types of world commodity price indices, each containing different commodities and weighting criteria. Results reveal a long‐run relationship between world agricultural commodity and consumer food prices in over half of the member states. Consumer prices in different member states and categories of member states respond differently to specific world price indices, suggesting that there are disparities in the structure and the efficiency of their food markets. The eurozone founders generally have lower transmission elasticities. This should be taken into account when predicting the impacts of extreme world price volatility and consumer food price rises, prompting governments to pay attention to the most vulnerable households.     

Fighting global food price rises in the developing world: the response of China and its effect on domestic and world markets

This article addresses how China is being affected by and is responding to the world food crisis. So far, Chinese officials have responded to higher world prices by drawing down stocks and limiting exports of major grains. These policy instruments were not available for soybeans, so domestic prices of soy and other oilseeds have risen with international prices. Using a global CGE model, we show that the initial world price rise was largely due to higher world oil prices and demand for biofuels as opposed to other factors, especially in maize and soybeans. China's response to this shock has kept domestic grain prices low relative to world grain markets and to domestic soybean prices. As grain stocks are depleted, however, demand growth will push domestic prices back into alignment. Anticipating this pressure on consumers and accelerating supply response through public investment will facilitate adjustment.     

Measuring the Volatility of Wheat Futures Prices on the LIFFE

Agricultural prices rose dramatically in 2007 and have subsequently fluctuated at high levels. This paper estimates the volatility of daily wheat futures prices on the Euronext/London International Financial Futures and Options Exchange for 1996–2012 using an exponential generalised autoregressive conditional heteroscedasticity model with a constant (price) elasticity of variance (CEV) and a broken trend. Results show that volatility is highly persistent; there is a structural break in volatility in June 2007 when volatility rose by 10%; subsequently, the wheat futures price has become more volatile; and the CEV is 0.04.     

Information-rich wheat markets in the early days of COVID-19

This paper uses the information implicit in commodity futures and options prices to infer market beliefs about the impact of early-stages COVID-19 on commodity market fundamentals. The particular commodity examined is soft red winter (SRW) wheat, and the timeframe is early February to late March 2020. The analysis highlights various adjustments in the cash and futures price of SRW wheat in light of surging short-run demand from consumer hoarding of staple food products, and a weakening long-run market from growing wheat stocks and an emerging global recession. This split is causing the forward curve to flatten and basis levels to invert. The change over time in the price of options on wheat futures reveals increased price volatility in response to growing uncertainty about the COVID-19 impacts. Similarly, changes in the skewness of the option's volatility smile illustrate a shift in traders’ perception about risk in the right versus left tail of the price distribution.     

农地经营权流转价格扭曲的政府干预效应 ——基于边际价格理论的实证分析

研究目的：考察政府不同干预行为对农地经营权流转价格扭曲的影响效应,为完善农地生产要素配置及优化农地市场内外环境等提供政策建议。研究方法： Binary Logistic模型。研究结果：（1）当前农地经营权流转价格本应反映承包地利用产生的经济效益,由土地要素投入产出品的边际收益价值所决定;但受市场机制不完善、乡土伦理规范等多重影响,农地实际流转价格与要素价格间产生差异,表现为农地经营权流转价格扭曲。（2）政府不同的干预行为对农地经营权流转价格扭曲产生差异化效应。政府主导流转的直接干预模式会引起流转价格的高价扭曲,而通过构建流转交易平台、提供补贴等政策间接干预会缓解流转价格的低价扭曲。（3）对土地的经济诉求和保障诉求是造成流转价格扭曲的重要原因。研究结论：农地经营权流转价格的形成应交予市场,政府应避免直接干预造成价格的人为扭曲,可通过土地流转中介组织或补贴政策来间接培育优化农地市场交易环境。     

WELFARE IMPLICATIONS OF MORE ACCURATE RATIONAL FORECAST PRICES

Models are constructed to assess the welfare effects for producers, consumers and society of producers using forecast prices based on more accurate estimates of variables causing shifts in the demand for and supply of commodities. The basic model is a stochastic cobweb model in which producers' forecast price is the rational forecast price. The model is extended for many commodities, for partial producer response to more accurate forecast prices, and to include stock holding. In terms of economic surplus, producers and consumers gain from more accurate estimates of demand shift variables, producers gain and consumers lose from more accurate estimates of supply shift variables, and in both cases there is a net society gain.