Are Russian Wheat Exporters Able to Price Discriminate? Empirical Evidence from the Last Decade

Significant changes have taken place in the world wheat market in the last decade. Russia, a former net wheat importer, has become a leading exporter with a world market share of 11.2% in 2009. This increasing importance and the discussion about the establishment of a grain‐OPEC consisting of Ukraine, Kazakhstan and Russia has raised the issue of pricing behaviour of Russian wheat exporters. Although there are several studies on the pricing behaviour of Canadian and US wheat exporters, there is none so far for Russian wheat exporters. This study provides a quantitative analysis of the pricing behaviour of Russian wheat exporters, explicitly taking account of the export tax imposed between 2007 and 2008. We employ a pricing‐to‐market (PTM) model on quarterly Russian wheat‐export data, covering the period from 2002 to 2010 and 25 export destinations. Our findings indicate that (i) Russian wheat exporters exercised PTM in only a few importing countries over the whole time period, and (ii) PTM behaviour was more pronounced in the aftermath of the export tax period (i.e. 2008–2010) than before.     

Structural Change and Long‐run Relationships between US and EU Wheat Export Prices

This paper analyses the nature of the long‐run relationship between US and EU wheat export prices over the period 1981–2000. We employ a novel approach of testing for cointegration with structural change developed by Barassi and Taylor (A Test for Change in the Cointegrating Rank, University of Birmingham, Birmingham, 2004). The method enables us to determine the breakpoint, which is found to occur after the 1992 CAP reforms were implemented. On analysing the two separate subperiods, we find no evidence of a long‐run relationship prior to the 1992 CAP reform. However, clear evidence of a long‐run relationship is found after the CAP reforms were implemented. Further analysis reveals that, in the post‐CAP reform period, the EU wheat prices follow then US soft wheat prices, consistent with the EU export subsidy regime over this period, albeit that export subsidies by the EU have been relatively small.     

Price Discrimination in Russian Wheat Exports: Evidence from Firm‐level Data

Russia emerged as an important wheat exporter in recent years raising the question of how this will affect international wheat markets. In particular developing countries – the main destination of Russian wheat exports – could be harmed by aggressive pricing behaviour. This article analyses the exertion of price discrimination by Russian wheat exporting firms based on Krugman's pricing‐to‐market hypothesis. We apply Knetter's panel model to a firm‐level dataset and find evidence for price‐discriminating behaviour by Russian firms in 25 out of 61 destination countries over the period 2002–2011.     

Price shock transmission: evidence from the wheat‐bread market value chain in Ethiopia

This study assesses the degree of vertical price transmission along the wheat‐bread value chain in Ethiopia. This is pursued by applying a vector error correction model and an impulse response analysis using monthly price data for the period 2000–2015. Our analysis considers transmission of price shocks across different market levels, including from the international and domestic wheat grain markets at the upstream to the domestic wheat bread market at the downstream of the value chain. The empirical findings indicate that significant cointegration exists across prices of the different market stages. There is a transmission from international prices to domestic prices at downstream markets, in particular to flour and bread prices. Prices at upstream markets are largely influenced by the domestic wholesale market. In general, the speed of adjustment is quite slow with a half‐life of about one year for restoring the equilibrium price relationship. As price margins between the different market stages in the value chain have substantially decreased in the last 15 years, higher transmission, and thus exposure to international market shocks, can be expected in the future. The results also show that causal relationships exist between prices at different market stages—with the wholesale market identified as the key market level where prices and price expectations are formed.     

Quarterly Dynamic Relationships Between the U.S. Wheat Market and Wheat-Related Prices for Products Downstream

Abstract

A quarterly VA R econometric model of the reduced form relationships between the U.S. wheat market and prices of processed wheat-related flour, bread, and other bakery products downstream was estimated. The model then simulated under a rise in production- or import-induced increase in wheat quantity, and a decline in wheat price, to examine the dynamic effects on the U.S. wheat market and on processed wheat-related prices downstream. U.S. trade negotiators at the upcoming WTO agricultural round, Federal policy makers, farmers, and agribusiness agents should be interested in the dynamic patterns with which negotiated trade conditions, farm policy alterations, and climatic variation influence wheat quantity and price, and in turn the price of more highly processed wheat-based products downstream.     

Pricing‐To‐Market Analysis: The Case of EU Wheat Exports

The EU is a major player in the global wheat market. This paper examines the pricing behaviour of EU wheat exporters using a pricing‐to‐market (PTM) analysis. Wheat is an exemplary product for testing PTM theories as it is widely and frequently traded, and largely unbranded. We estimate the relationship between export unit values and exchange rates using quarterly panel data for 11 EU export destinations for 2000–2013. Results show that there is a meaningful long‐run relationship between export unit values and exchange rates, but there is little evidence of differential mark‐ups between EU export markets. Belarus and Iceland are exceptions where exporters from the EU appear to exercise local currency price stabilisation.     

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.     

Impact of trade liberalisation on dairy market price co‐movements between the EU,Oceania, and the United States

This study investigates the impact of trade liberalisation on the spatial price co‐movements between the dairy markets of the EU, Oceania, and the United States. We consider two main dairy products, namely butter and whole milk powder (WMP), and employ R‐Vines to assess the development of the tail dependence between the price series. We split the time span (i.e. 2000‐2017) in December 2007 to capture the change in the tail dependence as well as in the potential of each region to act as the central market. Our findings indicate that the EU acts as the central market for butter in both sub‐periods, whereas the EU succeeds Oceania in acting as the central market for WMP from the first sub‐period to the next. Further findings highlight slightly increasing tail dependence in the butter market and in the WMP market for the EU‐OCE and EU‐US pairs. However, the tail dependence for the WMP prices between Oceania and the United States weakens, in which we attribute to the 2013 Chinese ban on milk powder imports from Oceania.     

Market integration between surplus and deficit rice markets during global food crisis period

Applying the maximum‐likelihood method of co‐integration, this study analysed spatial market integration between an adjacent rice surplus market (India) and deficit markets (Bangladesh and Nepal). The main focus is on the government policies of these three rice‐producing countries which have been imposed to reduce domestic price volatilities in rice markets during the recent ‘global food crisis’ in 2007–2008. The co‐integration tests find that domestic rice prices of India, Bangladesh and Nepal are integrated both in short‐run and long‐run periods despite the imposition of export restriction policies by India. The reason that prices are transmitted so effectively is most likely to be the widespread informal cross‐border trade through the porous borders among India, Bangladesh and Nepal.     

Impact of cultured shrimp industry on wild shrimp fisheries: analysis of price determination mechanisms and market dynamics

Cultured shrimp production has been growing dramatically on the world market over the last 15 years and some of the farm‐raised species are now considered as price‐indicators on the main market places. One may, therefore, expect the price of theses cultured shrimp to have an impact on the price formation of other species and especially on wild shrimp with which they compete. In this paper, the authors address this question in the case of the wild shrimp Penaeus subtilis exploited by the French Guyana fishery (South America) and competing on the French market with the cultured Thai shrimp ‘Back Tiger’. A series of econometric tests issued from the co‐integration theory is performed between the price series of the two products. These tests indicate that the two series are co‐integrated and that the black tiger market acts as a market leader for the French Guyana shrimp product. The authors then discuss the reasons of the current predominance of farm‐raised shrimp on wild‐caught product (and in particular the French Guyana shrimp) and identify the constraints that the French market demand induces on both producers and importers. In the light of this analysis, a commercial strategy that would mitigate the impact of the Thai shrimp on the French Guyana product is suggested.     

Price Asymmetry in the International Wheat Market

Most wheat exports are accounted for by a limited number of countries with different policy regimes and specializing, for the most part, in particular classes of wheat. Under these circumstances, there is likely to be considerable interaction among the major exporting countries in the determination of wheat prices. In this paper, price linkages between the U.S. and other exporting countries (Canada, the European Union, Argentina and Australia) in the world wheat market are investigated. After determining that the direction of causality is from U. S. prices to the prices of other exporting countries, the nature of the price linkages is studied. The results suggest that the major exporting countries respond asymmetrically to U.S. price changes. The degree of asymmetry differs from one exporting country to another, Argentina and the European Union show greater response to falling prices than to rising prices, while the opposite is true for Canada and Australia.     

Russian Roulette at the Trade Table: A Specific Factors CGE Analysis of an Agri‐food Import Ban

In the summer of 2014 Russia imposed a ban on most agri‐food products from countries enforcing Ukraine‐related sanctions against Russia. We use a specific factors computable general equilibrium (CGE) model to simulate the short‐run impact of this retaliatory policy. The baseline is carefully designed to isolate the impacts of the ban on the European Union (EU), Russia itself and a selection of key trade partners. The modelling of the ban follows a novel approach, where it is treated as a loss of established trade preferences via reductions in consumer utility in the Armington import function. Not surprisingly, the results indicate that Russia bears the highest income loss (about €3.4 billion) while the EU recovers part of its lost trade through expansion of exports to other markets. An ex‐post comparison between simulation results and observed trade data reveals the model predictions to be broadly accurate, thereby validating the robustness of the modelling approach.     

How integrated are world beef markets? The case of Australian and U.S. beef markets

The objective of the paper is to examine market integration between Australian and U.S. beef prices at the farmgate level. If these two prices are found to be integrated then it can be alleged that Australian beef prices can be used as a world price in empirical analyses and/or as a ‘reference price’ to measure the level of support accorded the U.S. beef sector. Co-integration analysis and a time-varying parameter estimation procedure based on the Kalman filter model are applied. The paper distinguishes between steer and cow beef segments and it uses monthly data over the 1972:1 to 1993:2 period. The results indicate that Australian and U.S. beef prices are co-integrated, albeit not fully and that the degree of convergence between the various price pairs has not substantially increased over time. The results also suggest that Australian prices can not unequivocally be adopted as a world price in empirical analyses.     

Structural Breaks and the Relationship between Barley and Wheat Futures Prices on the London International Financial Futures Exchange

Co-movement between futures prices can arise when commodities are substitutes. Counterintuitively, Dawson and White fail to find a significant long-run link between feed barley and wheat prices on the London International Financial Futures Exchange. This relationship is re-examined using  Johansen, Mosconi, and Nielsen's co-integration procedure that permits structural breaks. Results show evidence of co-integration and hence price discovery. There is a significant break in October 2000 following Common Agricultural Policy intervention price reductions, the barley–wheat futures market is perfectly integrated, and the barley price Granger-causes the wheat price. Modeling structural breaks in price relationships appears important.     

Regional Price Effects of Extreme Weather Events and Wheat Export Controls in Russia and Ukraine

We build on the price transmission framework to identify domestic wheat price effects of wheat export controls. We explicitly take into account that a harvest failure causes domestic price effects. Moreover, the analysis at the regional level provides further evidence of the functioning of export controls in a large country. Results suggest a pronounced regional heterogeneity in the strength of domestic price effects of the 2010/11 export ban in Russia. The wheat price dampening effects amount to up to 67% and are strongest in the major wheat exporting region with direct access to the world market. This effect is transmitted to other regions by increased and reversed interregional trade flows. In contrast, we find that regional variation of export controls’ domestic price effects in Ukraine is rather small.     

Testing vertical price transmission for Vietnam's Robusta coffee

Vietnam has undergone market reforms over the last three decades; and as a consequence, the coffee sector has become increasingly market‐driven. The success of the government's liberalisation policies in terms of market efficiency is investigated by examining the transmission of both positive and negative price changes for Robusta coffee between export and farmgate prices. We used a threshold vector error correction model and high‐frequency daily data. The primary result here is that of a symmetric price transmission between export and farm‐level prices. This result holds when tested with weekly price data, derived from the daily data. Farmgate prices respond faster to decreases than increases in export prices when the long‐run deviation exceeds a certain threshold. These price changes are transmitted within several days. This research also confirms the importance of transaction costs, and other price frictions mostly ignored in prior analyses for coffee.     

Tracing the evolution of the aggregate U.S. milk supply elasticity using a herd dynamics model

The U.S. dairy sector is characterized by increasing volatility of milk prices, and consolidation in production as evidenced by declining number of dairy farms with an increasingly larger share of milk supplied from a small number of very large farms. Using aggregate national data, we build a mixed‐frequency herd dynamics econometric model of the U.S. milk supply that updates and substantially amends the model first proposed by Chavas and Klemme. We implement a dynamic residual‐based bootstrap technique that can be used in testing for changes in nonmarginal simulated long‐run supply responsiveness, and trace the evolution of long‐run milk supply elasticity from 1975 through 2010. Several papers in the past have suggested that long‐run supply elasticity increases with dairy farm size, which implies that increased importance of large farms would increase aggregate long‐run supply responsiveness. Contrary to this conclusion, we find a declining trend in long‐run supply elasticity from 1975 through 2005. Persistence of such a decline would be a major cause for worry, as ever larger price swings would be needed to equilibrate the market in face of demand shocks. However, we find that milk supply is becoming more responsive since 2005 both to milk and feed price changes. Increasing responsiveness to feed prices further justifies focusing the next generation of the dairy policy instruments on managing dairy profit margins rather than just revenue streams.     

Modeling and Extrapolating Wheat Producer Support Using Income and Other Factors

Using wheat market support data from 55 countries for 1961–2011 from the World Bank Agricultural Distortion database, we develop a fixed effect model that shows a more complicated, nonlinear relationship between income and wheat support and its components than previously realised. We find that income generally has a greater effect on border market price support than on domestic price support. Moreover, the difference between these types of support is greater for net importers than for net exporters and has increased with the URAA or WTO accession. Holding other variables constant, the wheat support level of China, driven mainly by border market price support, is projected to rise with future income growth. Meanwhile, Japan is projected to maintain its high level of support, while the US and EU are projected to maintain their lower levels of support. These results are relevant in the context of multilateral trade negotiations, arguing against a narrow focus on past or current policy profiles and for long‐run analyses that might mistakenly rest on the inconsistent assumptions of constant agricultural policies against the backdrop of rising incomes.     

Testing for the LOP under nonlinearity: an application to four major EU pork markets

This article develops an econometric procedure to test the validity of the Law of One Price (LOP) under nonlinearity and to distinguish between its strong and its weak version. The procedure is applied to four major EU pork markets using weekly prices from 1991 to 2008. The empirical results suggest that the markets are well integrated, with deviations from the steady‐state price differentials corrected nonlinearly. The LOP is valid for all market pairs and for the pair Germany–Spain it holds in its strong version.     

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.