Pricing to market behaviour of India's high value agri‐food exporters: an empirical analysis of major destination markets

The pricing behaviour of India's high value agricultural and food exporters in their major destination markets is examined using a pricing‐to‐market (PTM) model for noncompetitive and exchange rate related pricing behaviour. The analysis was undertaken in a context where India is showing high commodity concentration in agricultural trade. The econometric analysis employed is panel corrected standard errors (PCSE) estimation technique. The results indicated evidence of a greater degree of imperfect competition either through price discrimination across destinations or through imperfect exchange rate pass‐through. The analysis of exchange rate effects showed that the local currency price stabilization by the Indian exporters were more prominent than the amplification of exchange rates. The analysis of the asymmetric effects of exchange rates on export prices showed that in most cases the depreciation of Indian rupee had a greater impact than the appreciation. Moreover the results showed that the exchange rate pass‐through is sensitive to the kind of exchange rate index utilised. In our analysis we found that the commodity specific exchange rate better predicts the pricing to market behaviour in most cases.     

Modelling New Zealand dairy products: evidence on export survival and duration

This article presents evidence concerning the pattern of New Zealand dairy exports duration and survival from 1989 to 2017. It also analyses the influence of a set of supply, demand and gravity‐type drivers on the hazard rate for New Zealand dairy export relationships. The findings are summarised as follows. First, New Zealand dairy export relationships are dynamic with numerous entries and exits to and from foreign markets. Around half of the relationships survived for only 1–2 years at the sequence level. Second, duration of sequence, left‐censoring, initial export, decomposed sequences, New Zealand export price index, the number of cows available for dairy production, the number of origins and destinations, and destination partner’s GDP are the most significant factors reducing the hazard rate of export relationships. As regards the effects of the non‐tariff measures, it is interesting that technical barriers of trade are found to significantly decrease the hazard rate. Only pre‐shipment inspection and contingent trade protective measures are significant impediments to New Zealand dairy export relationships. Finally, hazard probabilities for New Zealand dairy export relationships are estimated to be ‘L‐shaped’ over time, whether or not non‐tariff measures are applied to New Zealand dairy products.     

Pricing to Market Behavior by Canadian and U.S. Agri-food Exporters: Evidence from Wheat, Pulse and Apples

A fixed-effects model to control for time variation in marginal costs is employed to pinpoint evidence of price discriminatory behavior of Canadian and U.S. exporters of agri-food products. We test for evidence of pricing to market behavior and whether price discrimination or commodity/country characteristics may provide a plausible explanation. A distinguishing feature of our approach is to examine the time-series properties of the data by the conventional augmented Dickey-Fuller and recently developed panel unit root test. The panel data set employed in this paper consists of annual exchange rates and export prices for three agri-food products (wheat, pulse and apples) exported by Canada and the U.S. in foreign markets during 1980–98. Our fixed-effects model suggests that U.S. exporters are sensitive to exchange rate changes, while Canadian exporters in most cases raised price markups in response to a depreciated currency in overseas markets. The results highlight the differences in pricing policy that both countries employ to merchandise agri-food products in export markets.     

The pass-through of exchange rate changes to the prices of Australian exports of dairy and livestock products

Agricultural exports are usually assumed to operate in perfectly competitive international markets, but many are subject to non-tariff barriers to trade that can affect the degree of pass-through of exchange rate changes to foreign currency prices. The present study uses multivariate cointegration techniques to examine the effects of exchange rate changes on the prices of Australian exports of milk products, cheese, beef, sheepmeat, and hides and skins. The results indicate that Australian dairy exports operate in competitive markets in which pass-through is complete, but there is no stable long-run relationship between exchange rates and prices for any of the other livestock products.     

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.     

Capturing zero‐trade values in gravity equations of trade: an analysis of protectionism in agro‐food sectors

With significant improvements in its theoretical underpinnings, the gravity model has gained renewed interest in the agro‐food trade literature. Notwithstanding, there is a dearth of literature examining the relative trade restrictiveness of tariff barriers across a broad range of agro‐food sectors. This represents an important research gap, which this study sets out to fill. Furthermore, this research reconciles the application of zero‐inflated models with a sectorally disaggregated analysis. More specifically, employing a fully specified gravity equation, a Poisson estimator and variants of the Poisson model (Negative Binomial, Zero‐Inflated Poisson, and Zero‐Inflated Negative Binomial) provide statistically significant and theoretically consistent estimates, while allowing for the inclusion of zero‐trade values. A panel data model with fixed effects is also employed to improve the estimation of the parameters of interest. Estimation results reveal that in the vast majority of sectors examined, import tariffs are found to be statistically significant, whereas export refunds exhibit a statistically smaller role due to the nonsystematic nature of their application in world food markets. Model simulations of tariff barrier eliminations reveal limited trade gains, although there is encouraging evidence of “low” and “lower middle” per capita income country trade gains in wheat, red meat, dairy, sugar, and (particularly) rice markets.     

Impacts of Australia’s free trade agreements on trade in agricultural products: an aggregative and disaggregative analysis

The importance of free trade agreements (FTAs) has been increasing as such agreements help reduce barriers to trade. This paper estimates the agricultural trade creation and export diversion effects of Australia’s free trade agreements (FTAs) at the aggregate and disaggregate levels, using the Poisson pseudo‐maximum‐likelihood (PPML) estimator. It includes 24 of Australia’s major trading partner countries comprising FTA and non‐FTA members and covers 22 years from 1996 to 2017. The heteroscedasticity robust regression error specification test (RESET) confirms the relevance of PPML over the Ordinary Least Square (OLS) estimator. Results showed that China–Australia, Korea–Australia, Australia–USA and Japan–Australia have larger trade creation effects in the agricultural sector. At the commodity level, variation in trade creation effects is estimated from the different trade agreements. Among the selected commodities, the larger effects were generated in trade in sugar and wine by the implementation of the majority of the trade agreements. Overall, the trade creation was greater than the export diversion of the FTAs. The findings of the study have implications for Australia’s future trade agreements.     

World market integration for export and food crops in developing countries: a case study for Mali and Nicaragua

Using a generalized error correction model, this article measures and compares market integration for export cash crops versus imported food crops for Mali and Nicaragua, and computes transmission elasticities between changes in the goods’ border and domestic prices. Both Mali and Nicaragua obtain the bulk of their export revenue from a particular agricultural commodity—cotton for Mali and coffee for Nicaragua—and both import the same key staple food of rice. To reap the economic gains from this trade specialization, the two countries’ agriculture must be well‐integrated into world markets. The two countries present an important policy contrast that affects their degree of world market integration and price transmission. In Mali, a parastatal enterprise controls its cotton industry, while Nicaragua has less state direction over agriculture. Reflecting this difference, the results show that for both its main export and import commodity, Nicaragua is more integrated into world markets and has higher price transmission than Mali. The results for Nicaragua also show much higher integration and price transmission for its main agricultural export (coffee) than its major import (rice).     

Food Price Pass‐Through and the Role of Domestic Margin Services

The recent volatility in international agricultural markets has drawn attention to the impact of rising international agricultural prices and the induced price‐insulating measures on consumer food prices. Analyses based on simulation models on this topic typically ignore the role of domestic margin services. We extend the standard Global Trade Analysis Project (GTAP) model to allow for variations in the share of domestic margin services in consumed food across countries. This approach enables us to differentiate consumer prices from producer prices. Following the extension, the results show that domestic margin services reduce the consumer food price volatility for all countries, especially in high‐income countries, where the share of domestic margin services in final food consumption is higher. The effect of price‐insulating border policies is also reduced in the extended model. We find that our extension of the GTAP model greatly improves simulations of the 2007 surge in international agricultural prices. We validate our extension of the GTAP model by showing that the econometrically estimated food price pass‐through is decreasing with income and thus, is smaller in high‐income countries.     

The effects of China's growth on the food prices and the food exports of other developing countries

This article explores the impacts of China's growth in the international markets of agricultural products along two dimensions: food price inflation and export growth in other developing countries. China's food imports of vegetable oils have grown dramatically over the last decade, linking China's economic growth to the recent increases in global food prices. If China is a source of global food price inflation, exporting countries will benefit whether they sell directly to China or not. These direct and indirect linkages are explored using a short‐run, partial‐equilibrium model of international trade in agricultural products in which consumer prices and trade costs are derived from bilateral trade flows. China's effects on food prices and exports are estimated by reducing Chinese food expenditures in 2007 by half, roughly China's level of expenditures in 1995. Results indicate that food prices as measured by CES price indexes in developing Asia, Africa, and Latin America would have been reduced by 1.27%, 0.32%, and 0.22%, respectively. China has been an important source of growth for exporters selling directly to China. There is no evidence of export growth due to an overall increase in food prices caused by China's growth.     

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.     

World Commodity Prices and Domestic Retail Food Price Inflation: Some Insights from the UK

We focus on two aspects of the links between world commodity prices and retail food price inflation: first, the effects of exchange rates and other input costs, and second; the effects of the duration of shocks on world commodity markets, not just the magnitude of price spikes (the latter often commanding most attention). The UK offers a natural and rather unexplored setting for the analysis. Applying time series methods to a sample of 259 monthly observations over the 1990(9)–2012(3) period we find substantial and significant long‐term partial elasticities for domestic food price inflation with respect to world food commodity prices, the exchange rate and oil prices (the latter indirectly via a relationship with world food commodity prices). Domestic demand pressures and food chain costs are found to be less substantial and significant over our data period. Interactions between the main driving variables in the system tend to moderate rather than exacerbate these partial effects. Furthermore, the persistence of shocks to these variables markedly affects their effects on domestic food prices.     

Linking of U.S. monetary policy and exchange rates to world soybean markets

The linkage between macroeconomic policies and agricultural commodity trade has become an important research issue of agricultural economists. This paper investigates the macroeconomic linkage of soybean trade competition between the exporting countries of the United States, Brazil, and Argentina in the EC-12 and Japan import markets. It is argued that U.S. monetary growth may have important impacts on the competitive position of U.S. soybean exports through exchange rates. Two relationships are investigated: (a) the effects of U.S. monetary growth on the agricultural trade weighted exchange rates, and (b) the responsiveness of agricultural commodity prices and U.S. exports to exchange rate movements. Results indicate that a weak dollar increases imports of soybeans and soymeal significantly which serves to increase the equilibrium world price and increase both U.S. and Brazil/Argentina exports in the long run. However, during periods of more expansionary U.S. monetary policy there is little evidence of significant increases in market share position for U.S. soybeans and soymeal in world markets.     

Energy‐milk price transmission at the product brand level

This article estimates the pass‐through rates between diesel fuel and retail milk prices at the product brand level. Using a random coefficient logit demand model and taking the direct and indirect impacts of energy prices, this research identifies changes in pass‐through rates before and after the great recession in 2008. Empirical results show that diesel prices significantly impacted the retail prices of milk products and are an important determinant of food price inflation. Pass‐through rates are estimated to range from 0.16 to approximately 0.60 through 2008 with an average of 0.22 for the whole period. Statistical tests indicate that pass‐through rates before June 2008 were significantly higher than after June 2008 when they dropped significantly to 0.04 to 0.17. Interestingly, private label brands have the lowest pass‐through rates, implying that compared to manufacturer brands, private label prices are more insulated from diesel price shocks.     

The Unnatural Coupling: Food and Global Finance

The dramatic rise and fall of world food prices in 2007–8 was largely a result of speculative activity in global commodity markets, enabled by financial deregulation measures in the United States and elsewhere. Despite the recent fall in agricultural prices in world trade, the food crisis has been exacerbated in many developing countries where food prices remain high and even continue to increase. The financial crisis also directly operates to increase food insecurity by imposing constraints on fiscal policies and food imports in balance‐of‐payments constrained developing countries, causing exchange rate devaluation through capital flight and adversely affecting employment, thereby reducing the ability of vulnerable groups to purchase food.     

Deregulation reforms,resource reallocation and aggregate productivity growth in the Australian dairy industry

Deregulation reforms in the Australian dairy industry had long‐lasting repercussions for Australian agriculture and the wider Australian economy. Using farm‐level data from 1979 to 2013, we investigate the effect of these reforms on productivity in the Australian dairy industry which arose from correcting resource misallocation between farms and across segregated state milk markets. Our results demonstrate that after the dairy reforms in 2000, relative market share shifted from less productive farms to more productive ones, and between farms using different production systems – generating additional productivity gains for the farm sector, but imposing some costs on downstream manufacturers by strengthening the seasonality of milk supply. Lessons from the Australian experience provide timely guidance for those countries exploring deregulation now or in the future to improve the industry‐level agricultural productivity growth through facilitating resource reallocation from less efficient to more efficient farms.     

Price Transmission in Nigerian Food Security Crop Markets

This paper comprehensively examines price transmission from world, neighbour country, and internal commercial hub markets to Nigerian urban markets, as well as from urban to rural markets within the country, for seven key food security crops (maize, millet, sorghum, rice, cassava, yams and cowpeas). There are three key findings: (i) tradability matters for price transmission, but tradability varies across crops and regions. The strongest international linkages are with neighbouring countries. Rice price transmission is high across all markets, while coarse grain price correspondence is low with world prices but high with neighbour country market prices; (ii) our results imply that local conditions matter for price transmission, and are relatively more important than trade for some crops (e.g. yams, cassava) than others (e.g. imported rice, maize); (iii) larger than expected long‐run price transmission parameters in world and neighbour countries for rice and coarse grains suggest that, in these select markets, there are either large transactions costs or quality premiums that vary systematically with border prices, and/or mark‐ups captured by traders with market power.     

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.     

A speculative bubble in commodity futures prices? Cross‐sectional evidence

Recent accusations against speculators in general and long-only commodity index funds in particular include: increasing market volatility, distorting historical price relationships, and fueling a rapid increase and decrease in the level of commodity prices. Some researchers have argued that these market participants—through their impact on market prices—may have inadvertently prevented the efficient distribution of food aid to deserving groups. Certainly, this result—if substantiated—would counter the classical argument that speculators make prices more efficient and thus improve the economic efficiency of the food marketing system. Given the very important policy implications, it is crucial to develop a more thorough understanding of long-only index funds and their potential market impact. Here, we review the criticisms (and rebuttals) levied against (and for) commodity index funds in recent U.S. Congressional testimonies. Then, additional empirical evidence is added regarding cross-sectional market returns and the relative levels of long-only index fund participation in 12 commodity futures markets. The empirical results provide scant evidence that long-only index funds impact returns across commodity futures markets.     

Modeling regime‐dependent agricultural commodity price volatilities

In stark contrast to financial markets, relatively little attention has been given to modeling agricultural commodity price volatility. In recent years, numerous methodologies with various strengths have been proposed for modeling price volatility in financial markets. We propose using a mixture of normals with unique GARCH processes in each component for modeling agricultural commodity prices. While a normal mixture model is quite flexible and allows for time varying skewness and kurtosis, its biggest strength is that each component can be viewed as a different market regime and thus estimated parameters are more readily interpreted. We apply the proposed model to ten different agricultural commodity weekly cash prices. Both in‐sample fit and out‐of‐sample forecasting tests confirm that the two‐state NM‐GARCH approach performs better than the traditional normal GARCH model. A significant and state‐dependent inverse leverage effect is detected only for pork in the regime where the price is expected to drop, indicating the volatility in this regime tends to increase more following a realized price rise than a realized price drop.