Does Market Structure Influence Price Transmission in the Agro‐food Sector? A Meta‐analysis Perspective

There exists a large literature on price transmission in agro‐food sectors. However, a great majority of empirical studies focus on the existence of asymmetry and, by and large, do not investigate the reason for its presence or absence. This is in sharp contrast to the theoretical literature that provides a number of explanations of why we should expect (a)symmetry. In response, this paper investigates the reasons for asymmetric price transmission in the agro‐food chain, using meta‐analysis of existing studies. Our focus is on the organizational and institutional characteristics of the agro‐food supply chain. Our findings suggest that asymmetric price transmission in farm–retail relationships is more likely to occur in sectors/countries with more fragmented farm structure, higher governmental support and more restrictive regulations on price controls in the retail sector. On the other hand, more restrictive regulations on entry barriers in the retail sector and the relative importance of the sector tend to promote symmetric farm–retail price transmission. The latter is also more likely in the presence of a strong processing industry.     

Imperfect Price Transmission: Is Market Power Really to Blame?

Several studies in the literature have argued that price transmission in vertically‐related markets is imperfect, i.e. that farm input price changes are not fully passed‐through to the final product price. Market power, notably oligopoly, is presumed to be the principal source of imperfect price transmission. To date, the impact of oligopsony (buyer) power on the degree of price transmission has not been evaluated using a formal theoretical model. Moreover, neither has the combination of oligopoly and oligopsony despite the fact that its influence has been formally acknowledged in both the UK and some European food markets. This paper makes a contribution to the literature by developing a model of price transmission where both oligopoly and oligopsony power co‐exist and where industry technology is assumed to be characterised by variable input proportions. It shows that taking the degree of price transmission in a perfectly competitive market as a benchmark, oligopoly and oligopsony power do not necessarily lead to imperfect price transmission, although they can. Indeed, they may counteract each other's impact on the degree of price transmission. The key to these outcomes is to be found in the functional forms for retail demand and farm supply.     

The role of retail market power and state regulations in the heterogeneity of farm‐retail price transmission of private label and branded products

Given the leading role of private label brands in the fluid milk market, it is of special interest to focus on possible differences in farm‐retail price transmission between private label and branded milk as well as the causes of heterogeneity. This article examines the heterogeneous effects of private label and branded products on price transmission in the fluid milk market using a panel threshold asymmetric error correction model. Results indicate that upward retail‐price adjustment is faster than the downward price adjustment for both private label and branded milk. The speed of adjustment of private label products is significantly faster than branded products in three different price regimes. We further investigate the reasons of heterogeneity in farm‐retail price transmission of private label milk. We find that both retailer market power and state pricing regulations contribute to the heterogeneity in asymmetric price transmission. Higher retailer market power causes retail prices of private label milk to rise faster and to fall slower. The existence of a state pricing regulation slows down the adjustment speed of retail prices of private labels back to the long‐run equilibrium, regardless of whether the retail price is low or high.     

Asymmetric transmission between factory and wholesale prices in fiberboard market in Korea

This paper extends the estimation of price relationships in wood processing and empirical assessment of asymmetric price transmission by incorporating time lags in both explanatory and dependent variables. Each of the models developed and estimated in this article reveals the existence of asymmetric price transmission between factory and wholesale prices of fiberboard in Korea. Estimation results indicate that wholesalers earn additional profits by exploiting price fluctuations in the markets. The empirical findings in this study suggest the potential for lower wholesale prices of fiberboard with more competition in wholesale marketing.     

Demand for temperature and rainfall index insurance in India

Weather index insurance has been attracting considerable attention from academics and policymakers. This study investigates the demand for two types of index insurance sold in India: temperature index insurance for dry season and rainfall index insurance for subsequent monsoon season. Using data from randomized subsidy experiments, we separate purchase and quantity decisions and investigate how demand for rainfall insurance is correlated with demand for temperature insurance sold in the previous season. We find that the price (premium) does not influence purchase decisions per se but does significantly influence quantity decisions. The quantity demanded is less price‐sensitive for subsequent rainfall insurance than it is for temperature insurance. We also find that purchasers of temperature insurance tend to buy rainfall insurance more often than nonpurchasers do. However, a one‐time subsidy does not influence on subsequent demand, suggesting no price‐anchoring effect.     

Price Dynamics in a Vertical Sector: The Case of Butter

We develop a reduced-form model of price transmission in a vertical sector, allowing for refined asymmetric, contemporaneous and lagged, own and cross-price effects under time-varying volatility. The model is used to investigate the wholesale-retail price dynamics in the U.S. butter market. The analysis documents the nature of nonlinear price dynamics in a vertical sector. It finds strong evidence of asymmetric retail price responses, both in the short term and the longer term, but only weak evidence of asymmetric wholesale price responses. Asymmetric retail responses play a major role in generating a skewed distribution of butter prices. The empirical results indicate the presence of imperfect competition at the retail level.     

信贷政策调整和房地产价格的动态关系--基于VEC模型的分析

文章从理论角度分析了银行信贷同房产价格间的关系和作用机制,并在此基础上利用2010年1月-2019年6月全国房产价格月度数据建立VEC模型进行实证研究。结果表明,银行信贷和房产价格具有双向因果关系:房价波动对信贷波动具有显著影响,而信贷波动对房价波动影响相对有限。文章认为房价波动通过短期信贷、抵押物价值和银行资本金三种渠道来影响信贷供给。因此,政府在调整信贷政策时需要考虑房价波动的影响。     

论房价对中国产出和通货膨胀率的影响

研究目的：运用IS — LM模型和总供求模型分析住房价格对产出和通货膨胀率的影响机制,并应用中国的数据进行计量检验。研究方法：理论 — 实证分析。研究结果：（1）住房价格对产出缺口的影响是显著的,影响大小为0.76;（2）住房价格的快速上涨易导致投资主导型的经济出现过热,并加剧经济结构的失衡;（3）住房价格与通货膨胀率互为Granger因,房价的上涨在短期刺激经济增长的同时,最终推动物价水平的上涨。研究结论：住房价格波动对中国宏观经济具有显著影响,已经在货币政策传导机制中发挥作用,宏观经济政策应关注住房价格的波动,并采取适当措施来稳定住房价格,降低房价波动对宏观经济的冲击。     

Notes on farm‐retail price transmission and marketing margin behavior

Perfect farm‐retail price transmission sometimes is taken to mean an elasticity of price transmission (EPT) equal to 1. We show that this definition is inconsistent with Gardner's (1975) model. We also show that the absolute marketing margin (defined as the difference between the retail price and farm price) responds differently to shifts in retail demand, input supply, and technical change in the marketers’ production function than does the relative marketing margin (defined as the ratio of the retail price to the farm price). The empirical implications of these results are discussed in some detail.     

Volatility in Oilseeds and Vegetable Oils Markets: Drivers and Spillovers

Food price volatility has re‐emerged as an important topic of political discussion since the food price crisis of 2007–2008. Different volatility drivers have been identified for different markets in the theoretical and empirical literature. However, there is no comprehensive analysis that considers a large number of potential drivers and investigates their joint effects in a dynamic model of interrelated markets. Our study provides such a volatility analysis for the oilseeds and vegetable oils markets. We use a common GARCH approach and a VAR model to identify volatility drivers and spillover effects. Our results show that exchange rate volatility is very important. However, the hotly debated financialisation of commodity markets is not found to be volatility increasing in our monthly data. Impulse response functions show strong spillover effects. Because many volatility drivers found to be important in other markets have no significant effect in our study, our results suggest that volatility drivers are market specific. This implies that any volatility‐reducing policies need to be designed for the market in question.     

Forty Years of Price Transmission Research in the Food Industry: Insights,Challenges and Prospects: Comment

Lloyd's review of the literature on food price transmission in the Journal of Agricultural Economics (2017) is incomplete in that it omits discussion of technical change and international trade. The purpose of this Comment is to explain why these topics are essential for a proper understanding of price transmission. As a by‐product of the discussion, I show that the pass‐through and pass‐back equations that serve as the basis for Lloyd's theoretical insights are more general than one might think based on Gardner's (American Journal of Agricultural Economics, 1975) discussion of these equations.     

Regime Shifts in the Fish Meal/Soybean Meal Price Ratio

Aquaculture growth has led to worries about overfishing and reduction in wild‐caught food fish supply because of increased demand for fish meal. As such, the price ratio between fish meal and soybean meal has received much attention as an indicator of changing market conditions. In recent years, the price ratio between these two commodities has become more volatile. Several authors have suggested that the traditional relationship between fish meal and soybean meal has broken down and that this is evidence of increased demand pressure on fish meal. In this article, we investigate the hypothesis that there are two regimes for the relative price between fish meal and soybean meal. The empirical results support this hypothesis, with the low‐price regime representing the traditional stable relative price. The continued linkages between the fish meal and the soybean meal markets indicate that aquaculture is reducing its dependency on marine proteins in favour of vegetable proteins.     

Understanding the resource curse (or blessing) across national and regional scales: Theory,empirical challenges and an application

The relationship between resource extraction activity and economic growth has been widely studied in the literature, and the resource curse hypotheses emerged as a theory to explain the effects of resource windfalls on national economies. However, within countries, resource booms and busts can have distinctive effects across local economies, as extractive regions face particular economic consequences unlikely to be observed in nonresource regions. Empirically, most studies analysing the resource curse have relied on cross‐country models to estimate effects and inform policy; however, the use of regional – within‐country – analysis has gained attention from scholars lately, promoted by two advantages: it avoids unobserved country heterogeneities confounding economic outcomes caused by resources and exploits the subnational quasi‐natural experimental conditions generated by endowments. This paper contributes to the resource curse literature by discussing its theoretical causes across scale (regional vs. national effects) and highlighting the empirical challenges involved in the analysis of mining economic impacts across regions. We complement the discussions by econometrically modelling economic growth across nonmetropolitan substate regions of Australia during a period of resource windfalls, finding that in most cases, resources have been a blessing for local economies, although negative effects have also been experienced in parts of the country.     

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。     

Demand for meat and dairy products by Turkish households: a Bayesian censored system approach

We extend the Tobit (censored) linear equation system procedure to utility‐theoretic demand functions, along with a mapping mechanism to impose the adding‐up restriction implied by consumer utility maximization theory—a theoretical restriction very often ignored in previous empirical studies with censored demand systems. In this context, the Bayesian Markov Chain Monte Carlo (MCMC) procedure is applied to the censored linear approximate almost ideal demand system (LAIDS) for 12 food products, using data from the Turkish Household Expenditure Survey. All own‐price elasticities are negative and expenditure elasticities positive. Uncompensated own‐price elasticities for rural households are generally much higher than those for their urban peers, though demand for most food products are own‐price elastic for both types of households. The differential patterns in demand elasticities between urban and rural households become even more evident (almost twice) as relatively more expensive foodstuffs are consumed, showing that accessibilities to alternative products have made rural Turkish households more cognizant toward price changes in foods. Household characteristics play a key role in food expenditures, notably so in urban areas, and regional and seasonal differences are also present.     

Price and Volatility Transmission and Market Power in the German Fresh Pork Supply Chain

We investigate the relationship between the transmission of price volatility and market power in the German fresh pork supply chain. We use a theoretical model underpinning this relationship followed by an empirical application that uses monthly farm, slaughterhouse and retail pork price data for the period 2000–2011. We examine both the relationships of market power with price level transmission and price volatility transmission in the chain. We use a vector error correction model and least squares regressions to analyse price transmission and price volatility transmissions, respectively. Results show that retail market power limited both types of transmissions. Competition inducing policy measures coupled with measures that support price risk management initiatives of chain actors are suggested.     

Distance and Border Effects on Price Transmission: A Meta‐analysis

Using price transmission estimates for 1,189 cereal market pairs extracted from 57 published studies in a meta‐analysis, we examine whether geographic distance and separation by an international border affects the strength and speed of price transmission. Our findings indicate that a border reduces the likelihood that two cereal prices will be cointegrated by 23%, and each additional 1,000 km of distance reduces the probability of cointegration by 7%. The speed of price transmission is on average 13 percentage points per period faster between prices that are located within the same country compared with cross‐border price pairs. Our meta‐analysis also indicates that increasing distance strongly reduces the speed of price transmission on domestic markets, but that the effect of distance on the speed of transmission is considerably weaker for trade over longer international distances. Overall, these results confirm expectations and complement the findings in the trade literature that borders and distance affect trade flows and price dispersion.     

Non‐parametric Modelling of Spatial Price Relationships

We apply non‐parametric methods to a consideration of price transmission processes within US egg markets at the turn of the nineteenth century. Gordon (National Bureau of Economic Research Working Paper 7833, 2000) labelled this as an era of ‘Great Inventions’ which contributed to the subsequent years of significant productivity growth and noted that the development of mechanical refrigeration and transportation technologies played an important role in this growth. Our models present certain advantages relative to parametric models traditionally employed in price transmission analyses. We compare results derived from local polynomial modelling with those obtained using non‐linear threshold models. Both techniques suggest that US egg markets were interrelated at the turn of the nineteenth century. However, non‐parametric techniques often suggest a higher degree of price transmission than that implied by threshold models. Results also suggest that threshold models may have difficulties in adequately capturing price relationship dynamics, especially when these are of a highly nonlinear nature.     

Threshold cointegration and spatial price transmission when expectations matter

We examine the performance of the threshold cointegration approach, specifically Band‐TVECM, to price transmission analysis in an explicit context where trade decisions are made based on expectation of final prices, because trade takes time. We find that, following a standard inference strategy, a large portion of three‐regime cases are not identified as such. Results show that transfer costs are systematically underestimated, particularly in three‐regime models. The speed of price transmission is also biased in three‐regime models. Furthermore, inferences about occurrence of trade are poor, with estimated models suggesting far lower market integration than is true in the data‐generating process.