Canadian Hog Supply Response: A Provincial Level Analysis

Canada's hog sector has faced two decades of tumultuous growth, yet there are no recent estimates of supply response. This study uses state‐space methods to account for a multiplicity of autonomous structural changes impacting the sector and determines if the fundamental relationship between supply response and hog prices has changed from previous estimates. The results are consistent with prior research but offer the reader previously unavailable estimates of supply response with respect to feed prices and the variability of hog and feed prices. Feed price elasticities are somewhat larger than hog price elasticities. The effects of price risk for supply response appear quite muted but the impacts of feed price risk are greater than for hog price risk.     

Nonlinear adjustments in deviations from the law of one price for wholesale hog prices

This article applies the Band‐Threshold Autoregression (Band‐TAR) model to investigate whether the law of one price (LOOP) holds in Taiwanese wholesale hog markets during the period from May 1987 through December 2003. We find evidence of a nonlinear mean reversion in deviations from the LOOP for relative hog prices. Our empirical study confirms the presence of thresholds and provides strong evidence in support of the view that the regional hog markets have been tightly integrated in Taiwan and that the wholesale hog market in Taiwan is an efficient market economy. Furthermore, the estimated half‐lives from the nonlinear generalized impulse response analysis are as short as four months.     

How Reliable Are Hog Futures as Forecasts?

The Chicago Mercantile Exchange hog futures contract was revamped in 1997 and it is one of the largest futures markets for a nonstorable commodity. The literature is divided on whether or not futures prices for nonstorables provide reliable forecasts of cash prices. We find that from 1998 to 2004, the hog futures market was an unbiased predictor of cash prices.     

Using Formula Prices in the Absence of Publicly Reported Prices: An Application for Segregated Early Weaned Pigs

A formula for deriving the price of segregated early weaned pigs using corn, soybean meal, and market hog prices was estimated by equating return on investment for the different phases of production. USDA reported prices were compared with prices derived from this and several other common formulas. Based on several accuracy measures, the estimated formula was better at predicting spot-market prices than other formulas. Producers appear to form price expectations based on futures plus expected basis rather than simply futures or current cash prices. However, the method of choosing price expectations will depend on the risk attitudes of the buyer and seller and their business relationship. Developing pricing formulas based on the framework outlined here (equal returns on investment) has merit for establishing prices in the absence of publicly reported information. However, it is important that users of the formula understand the conceptual framework of how and why it was developed.     

生猪价格的省域空间溢出效应及其动态关联分析——基于空间面板模型和DY分解

目的 分析生猪价格的省际空间溢出效应,并通过各省域间价格联动效应探究我国生猪价格体系的传导机制,对治理我国生猪产业区域不均衡发展问题具有重要意义。方法 文章建立空间杜宾模型探索生猪价格的空间传导特性,引入溢出效应分解分析替代品价格、成本要素对省域生猪价格的冲击效应,并运用广义预测误差分解测定省际生猪价格关联水平及方向。结果 （1）我国生猪价格波动具有显著空间相关性和异质性,其空间集聚特征随时间推移愈发显著,产业布局呈现“高—高南部簇拥,低—低东向西扩”的空间演变特征。（2）省内替代品价格、成本要素对生猪价格波动的影响显著但作用力度有限,省际溢出效应是生猪价格发生空间传导的主导因素。（3）鸡肉价格与省内、省外的生猪价格存在密切正向关联;牛肉价格波动推动本省生猪价格同步波动;豆粕价格波动对本省或邻省生猪价格均起到正向推动作用;玉米价格变化引起本省或邻省生猪价格的负向变化。（4）辽宁、河北、吉林、河南等省的正向净关联度较大,属于波动“主导者”或“发动者”;上海、广西、重庆等省市的负净关联度较大,隶属价格波动的“接收者”;江苏、湖南、福建等省市的关联度和全国平均关联度持平,在价格波动传导体系中属于波动“中介者”。结论 有关部门应针对不同省域在生猪价格传导体系中所发挥职能的不同,分级管控生猪价格,同时促进地方畜牧业经济发展,不断优化我国生猪养殖产业区域布局。     

Biases in Calculating Dumping Margins: The Case of Cyclical Products

A dumping investigation involves comparing export prices with a "normal value" loosely defined as the price in the exporter's domestic market observed in the course of normal trade. However, domestic sales with prices below production costs are excluded from the computation of a normal value. The paper illustrates how price cycles affect the magnitude of estimated dumping margins. The empirical analysis focuses on Canadian hog exports to the United States and U.S. potato exports to Canada. The estimated period and amplitude of each price cycles result in average dumping margins for Canadian hogs and U.S. potato exports of 11.5% and 5.9%, respectively. Biases in dumping margins depend on the nature of the cycle, the period of investigation, and the average production cost estimate.     

The Collusion-deterring Effect of Pre-attributed Supplies and the Hog Auction in Quebec

The hog/pork industry in Quebec has been going through major institutional changes since 1989, the year an electronic auction was put in place to market all of the hogs in the province. Because the auction's ability to generate high prices did not meet the expectations of hog producers, the pure auction system was replaced by a hybrid one in 1994. In this system, most of the hog supply was pre-attributed to processors at a negotiated price based on the US. price while the remainder of the provincial supply of hogs was sold through the auction. In this paper, we investigate how a seemingly inefficient marketing mechanism like pre-attributions can increase the efficiency of a usually efficient mechanism like an auction. We present theoretical arguments regarding the sustainability of collusion under the pure auction and hybrid systems in addition to analyzing auction prices with modern time series tools.     

An analysis of bundle pricing in horizontal and vertical markets: The case of the U.S. cottonseed market

The U.S. cottonseed market has seen the rapid development and adoption of seeds with differing bundles of genetically modified (GM) traits. It has also seen an increase in vertical integration by biotechnology firms. In this article, we investigate the price impacts associated with structural changes in the U.S. cottonseed market from 2002 to 2007. We develop a structural model to examine the substitution/complementarity relationships among cottonseeds sold with different genetic trait bundles and under different vertical arrangements. We examine the price impacts emanating from product differentiation, market concentration, and market size. The econometric investigation finds evidence of subadditive bundle pricing in patented biotech traits. While higher own‐market concentrations are found to be associated with higher prices, we also uncover evidence of cross‐product complementarity effects that lead to lower prices. Simulations are used to evaluate net price effects, illustrating the usefulness of the approach in the analysis of changing market structures.     

Hedonic wine price functions with different prices

This study examines the impact that recommended retail prices, actual market prices and the release of a prominent wine guide have on Australian wine hedonic price estimates, for attributes such as sensory quality, winery reputation and grape region. In general, hedonic price estimates appear to be independent of prices employed. The main identified differences in estimates relate to the size of the producer and some regional impacts. For market prices only, increases in producer size are estimated to reduce prices. This implies the existence of supply chain quantity discounting price practices. The impact of an authoritative wine guide appears to have a negligible influence on prices in Australia. In the absence of market transaction prices, the common practice of employing recommended prices for hedonic wine price estimation is defendable.     

Do land price variation and environmental regulation improve chemical industrial agglomeration? A regional analysis in China

China’s governments have a strong control over resources, such as land resources, and determine environmental policies for the nation. As an essential part of the production cost of chemical enterprises, land price and pollution costs play a critical role in location selection. However, whether the current incompletely competitive industrial land market and improving environmental regulations in China would affect chemical industrial agglomeration (CIA) is unclear. This study incorporates the land price variations, environmental regulation, and CIA into one research framework. Calculation methods of industrial land price variation (LPV), environmental regulation (ERI), and CIA are established, to reveal their development level. Furthermore, a geographically and temporally weighted regression (GTWR) model is established to estimate the spatial and temporal impacts of land price variation and environmental regulation on CIA by using a panel data from 2007 to 2015. The results show significant spatial differences in the impacts of land price variation and environmental regulation on CIA between cities. The majority of the impacts of land price variation and environmental regulation on CIA are negative. However, the temporal change in the impacts are not as significant as the spatial change. Other control variables, namely, free trade, natural resources, and highway density, have a positive impact on CIA.     

Agricultural Producer Price Expectations

Producer price expectations underlie much of agricultural supply analysis. While producer price expectations would ideally be discovered experimentally, this is too costly. Instead, producer price expectations are usually represented in agricultural supply analysis by easily obtained hypothesized expectation formulations. In most cases, the hypothesized expectation formulations are functions of past prices. However, other formulations are sometimes used, such as current cash and futures prices, or initial payments in the case of grains marketed by the Canadian Wheat Board. This paper compares actual producer price expectations with a variety of hypothesized expectation formulations for wheat and canola in Saskatchewan. A test developed by Granger is used to determine the proxy models that are significantly dominant. The model that dominates as a proxy in the case of wheat price expectations is the two-year declining-weight moving average. The two models that dominate as a proxy in the case of canola price expectations are the first-order autoregressive and, as well, the two-year declining-weight moving average. There is no significant difference between the two models. Somewhat surprising is the performance of formulations based on futures prices. These formulations perform very poorly in representing producers' price expectations, even though they are found to be among the most accurate predictors of actual commodity prices. An even more interesting observation is the performance of the futures price model in the canola market. Even though the November contract in January explains very little of the variation in the actual commodity prices for that year, its error in predicting canola prices is not significantly greater than that of the best performing, the four-year declining-weight moving average, based upon the root mean squared error criterion.     

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.     

Quota prices as indicators of comparative advantage in supply‐managed industries

The Canadian dairy, egg, broiler, and turkey industries operate under supply management, a policy regime that sets product prices and allocates production among provinces and ultimately among farms through quotas. The Canadian Farm Products Agencies Act requires that comparative advantage be used to guide the allocation of new quota when increases in consumer demand necessitate increased production. This requirement, however, has not been met in practice. We develop a proposal by Meilke to use quota prices as measures of comparative advantage. We evaluate the quota price approach and other proposed methods, from a Hayekian and Coasean market process perspective. We conclude that quota prices offer an economically justifiable indicator of provincial comparative advantage. We develop an individual‐level general equilibrium model of quota exchange to illustrate the informational content of quota prices as indicators of comparative advantage. We also discuss potential practical challenges of using quota prices as indicators of comparative advantage.     

Shadow pricing diversity in U. S. national forests

Tobit estimation of the market value of timber sales in national forests of North Carolina demonstrates the important effect of stand diversity on the formulation of bid prices for mixed-species timber tracts. The hedonic model generates a shadow price for diversity according to changes in bid prices, an effective shift in the demand curve for auctioned tracts due to stand diversity attributes. This approach contrasts with traditional shadow price analyses that focus on the supply effects of environmental constraints. Results are corrected for the effects of bidder participation, market conditions, production costs, and other stand attributes. Econometric results demonstrate that stand heterogeneity is a highly significant factor influencing the market value of timber sales from national forests of the Appalachian region. Greater heterogeneity results in lower bid prices for timber sales, indicating a positive shadow price for maintenance of stand diversity.     

The Matching Problem (and Inventories) in Private Negotiation

This study examines laboratory market outcomes under alternative matching risk scenarios and advance production. Limited access and/or asymmetry in the number of buyers and sellers cause a matching problem. When sellers hold inventory before sale and there is buyer concentration, prices are about 23% below the competitive level and close to the predicted monopsony price. The bargaining advantage shifts to buyers in this market environment. Sellers can benefit by creating alliances or cooperatives to increase their bargaining position for price and overcome poor access to buyers.     

On the nature and magnitude of cost economies in hog production

In this article, we assess the impact of farm size on production cost and evaluate the marginal costs and margins by considering that input prices may change with the scale of production. By using French hog farm data, we estimate a system of equations including a feed price function, input demand functions, and an output supply function based on a technology approximated by a combined generalized Leontief‐Quadratic form. Our results suggest that the marginal costs are over‐estimated when the adjustment of the feed unit prices to a change in farm size is not controlled for. More specifically, the cost economies for large farms (enjoying the highest profits) arise primarily from lower feed prices, with technological scale economies having little impact. In contrast, farms with no hired labor exhibit technological scale economies and reach higher price‐cost margins compared to larger farms.     

The Effect of Energy Price Increases on the U.S. Livestock Sector

This study is unique and crucial to the current time period because of the recent high energy price escalation. The uniqueness of this study pertains to the void in energy impact research of the agricultural sector, more specifically to livestock. The U.S. Department of Energy has models estimating economy-wide impacts, but not the specific impacts on agriculture. The Iowa State study concentrated on the grain sector.
The results presented here indicate that energy price increases will have substantial effects on livestock prices and production. Energy price increases will also result in differential impacts on livestock commodities (with poultry and eggs having the largest price and production effects). Furthermore, the multi-period framework enables the livestock model to capture lagged production responses. Noticeable is the higher impacts occurring in the third and fourth years.
In the future, higher energy costs may induce changes in U.S. production, processing and distribution patterns of livestock commodities. The highly vertically integrated poultry and egg industries may begin shifting production locations away from the colder northern regions to areas with more temperate climates. For industries like beef, pork and dairy, there may be increased range production to reduce impacts from higher feed costs. For all industries, closer proximity of processing plants to major livestock producing areas may occur.     

The linkage between the U.S. ethanol market and developing countries’ maize prices: a panel SVAR analysis

The major expansion of U.S. ethanol production raises concerns about the potential detrimental impacts on developing countries’ agricultural prices, farm income, and food security. To assess the sensitivity of maize prices to ethanol production, this study explores the linkage between the U.S. ethanol market and developing countries’ maize prices. The econometric approach, based on a panel structural vector autoregression model, captures market interdependencies and the likelihood that developing countries’ responses are both heterogeneous and dynamic. The results indicate that the U.S. ethanol market's impacts on maize prices in developing countries are heterogeneous and that coastal countries are more susceptible to U.S. economic shocks. The estimates also suggest that countries more dependent on food imports and/or receiving U.S. food aid are at a higher risk of being affected by such shocks. Overall, the results indicate that those countries with the greatest sensitivity and exposure to global agricultural commodity markets could benefit from domestic policies and international assistance, which reduce their exposure to impacts from the U.S. maize market.     

Higher fuel and food prices: impacts and responses for Mozambique

Rising world prices for fuel and food represent a negative terms‐of‐trade shock for Mozambique. The impacts of these price rises are analyzed using various approaches. Detailed price data show that the world price increases are being transmitted to domestic prices. Short‐run net benefit ratio analysis indicates that urban households and households in the southern region are more vulnerable to food price increases. Rural households, particularly in the North and Center, often benefit from being in a net seller position. Longer‐term analysis using a computable general equilibrium (CGE) model of Mozambique indicates that the fuel price shock dominates rising food prices from both macroeconomic and poverty perspectives. Again, negative impacts are larger in urban areas. The importance of agricultural production response in general and export response in particular is highlighted. Policy analysis reveals difficult trade‐offs between short‐run mitigation and long‐run growth. Improved agricultural productivity has powerful positive impacts, but remains difficult to achieve and may not address the immediate impacts of higher prices.     

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.