Seasonal protection of F&V imports in the EU: impacts of the entry price system

The measures of border protection applied by the European Union (EU) to imports of fruits and vegetables (FV) are complex and usually not well represented in trade models, not only because of the range of instruments still constraining trade, but also because of product differentiation and seasonality in these products. This article assesses the impact of eliminating entry price (EP) constraints applied to a group of FV products. The proposed model is of a partial equilibrium nature and takes seasonality into account. We have applied the model to imports of tomatoes, cucumbers, clementines, and table grapes. Trade impacts of eliminating EP are significant for particular origins, during specific seasons, most notably for Moroccan tomatoes. The volumes and prices of products originating in the EU experience moderate reductions.     

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.     

The behavior of commodity prices in Ethiopia

In an attempt to identify price stabilization strategies and rationalize public intervention in buffering markets, this article investigates the intertemporal dynamics of commodity prices in Ethiopia. A classical rational expectation model is modified to account for seasonal correlation of shocks. Model predictions are reduced to computable periodic threshold autoregression. Several nonlinearity tests are applied to detect threshold effects. A regime‐switching normalized maximum likelihood method is formulated to estimate thresholds and threshold autoregression parameters using monthly data from Ethiopia for the period 1996–2006. The result indicates the presence of periodic price thresholds that could be formed as a result of speculative storage. Comparison of price movements below and above thresholds indicates that prices are more correlated below the thresholds than above them. However, the effect on error variance is not very strong. Temporal arbitrage, which is the gross return from speculative storage, appears to be modest. The long‐ and short‐term implications of the findings are discussed within the context of ongoing policy debates.     

The use of organized commodity markets to manage food import price instability and risk

The article explores the possibility of insuring the price risks of wheat and maize imports of low‐income food‐deficit countries (LIFDCs). Optimal strategies for an importing agent, who hedges with futures and options are derived, based on the objective of minimizing the unpredictability of import bills. Ex post simulations for a set of LIFDCs are run on wheat and maize imports hedged with futures and options in the Chicago Board of Trade, to explore the extent to which hedging reduces the unpredictability in import bills. Simulations encompass both periods of normal price behavior, as well as the period of global upheaval that occurred in 2007 and 2008. Results show that hedging with futures alone affords agents considerable opportunities for reducing import cost unpredictability, and the same holds with options, albeit, to a lesser extent. However, during the recent price spike of 2007–2008, hedging with options would have increased the unpredictability of some countries’ maize import bills, due to the combination of erratic import patterns and pronounced market uncertainty.     

Modeling price transmission between farm and retail prices: a soft switches approach

Vector error correction models (VECM) are used to model price transmission when farm and retail prices are cointegrated. To allow for nonlinearity in the cointegration process, researchers may specify thresholds to break the error correction process into regimes according to whether the retail price is above, below, or close to its equilibrium value given farm prices.  However, because the coefficients in a VECM can change when there is movement from one regime to another, the model can be discontinuous.  This implies sudden, “hard” regime changes. In this study, we extend the threshold VECM to include features of smooth transition autoregression (STAR) models. Our approach allows for gradual, soft regime changes.  An empirical application to retail cheese and farm milk prices is presented.     

The Incidence of EU Per‐Hectare Payments on Farmland Rental Rates: A Spatial Econometric Analysis of German Farm‐Level Data

This article analyses determinants for 2001 farmland rental prices from 3,819 farms in Germany. Based on specification tests we estimate a general spatial model to account for both spatial relationships among rental prices of neighbouring farmers and spatially autocorrelated error terms. A €1 per hectare higher rental price in a farmer’s neighbourhood coincides with a €0.72 higher rental price paid by the farmer. The marginal incidence of EU per‐hectare payments paid for eligible arable crop land on rental rates amounts to €0.38 for each additional €1 of premium payments. Regional livestock density, which is indirectly influenced by different policies, is also a major determinant of rental prices. Results are confirmed by sensitivity analyses. Consequently, German farmland rental rates are heavily influenced by agricultural policy instruments and therefore, these policies exhibit substantial distributional effects.     

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.     

Asymmetric price volatility transmission between food and energy markets: The case of Spain

The proportion of agricultural production that is being transformed into biofuels has been growing worldwide over the last decade. This has spurred the food versus fuel debate. This article aims at shedding light on this issue by studying price volatility relationships between food and biofuel prices in Spain. We use an asymmetric MGARCH model to evaluate volatility spillovers between the Spanish biodiesel blend and refined sunflower oil prices. Empirical results confirm that there are bidirectional and asymmetric volatility spillovers between these two prices.     

The transmission of world maize price to South African maize market: a threshold cointegration approach

This article seeks to provide an explanation for the relationship between domestic maize price in South Africa and world maize prices in order to evaluate comovement and transmission of world prices to domestic prices in sub‐Sahara African countries. This is done by comparing nested and nonnested models that capture different forms of nonlinearity in the price spread. Adopting a Bayesian approach that allows for comparison of models using Bayes factor, we found that the relationship between South African price and world price for maize indicates the presence of nonlinearity in price transmission with three regimes that is triggered by the price spread in previous period.     

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.     

Agricultural price transmission across space and commodities during price bubbles

This article investigates agricultural price transmission during price bubbles. The empirical approach concerns the horizontal transmission of cereal prices both across different market places and across different commodities. The trade policy intervention put forward to mitigate the impact of price exuberance is considered. The analysis is performed using Italian and international weekly spot (cash) price data over years 2006–2010, a period of generalized turbulence of agricultural markets. Firstly, the properties of price time series are explored; then, interdependence across prices is specified and estimated by adopting appropriate cointegration techniques. Results suggest that the bubble had only a slight impact on the price spread and the temporary trade‐policy measure, when effective, has limited this impact.     

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.     

The impact of coffee price changes on rural households in Uganda

Employing household survey data covering the periods 1992–1993, 1995–1996, and 1999–2000, this article shows for the case of Uganda that a coffee market liberalization followed by a price boom was associated with substantial reductions in poverty, which could even be sustained when prices went down again. Coffee is not planted by the richest farmers and the gains from higher coffee prices accrued to poorer and richer coffee farmers alike. Nor were poorer farmers hurt disproportionately when prices fell. In addition, we find strong spillovers from coffee production to other agriculture, which tends to favor the poor, and to nonagricultural activities. These multiplier effects are concentrated in coffee regions. In an economic environment characterized by a booming agricultural sector, coffee farmers were able to accommodate the negative price shock, in particular through agricultural diversification. General agricultural growth also cushioned possible negative multiplier effects in coffee regions. Overall, the case of coffee in Uganda thus lends support to the view that agricultural trade liberalization is beneficial for the poor.     

Do the EU countries import at the same price? The case of coffee

The establishment of the Economic and Monetary Union was expected to determine price convergence in the market of the European Union, leading to the equilibrium theorized by the law of one price. This article investigates prices convergence in the coffee market among European importers. Coffee is not only a tradable and traded good, but also one of the most valuable traded commodities. We account for different qualities of coffee in a hedonic regression model, which isolate and remove the effects of factors that might affect price dispersion. Adjusted import prices result to be significantly different between European Member States, and do not support the hypothesis of a deepening European market integration.     

Decomposing changes in agricultural price gaps: an application to Russia

The article develops a method for decomposing changes in agricultural price gaps, defined as the difference between a commodity's domestic producer and border prices. We use OECD's procedure for decomposing changes in the market price support part of producer support estimates as the starting point for our decomposition method, and our method provides a basis for critiquing OECD's decomposition approach. The transmission of changes in border prices (world prices and the exchange rate) to domestic prices is a key element in the decomposition. The method is demonstrated using Russian agricultural price gaps. The results support the argument that for Russian agriculture during the transition period, the main cause of changes in price gaps has been incomplete transmission of changes in the exchange rate to domestic prices, and where the weak transmission results mainly not from policy intervention, but rather from deficient market conditions, in particular poor market infrastructure. The policy implication is that underdeveloped infrastructure has strongly limited the benefits to the Russian economy from agricultural trade liberalization.     

Decompositions of corn price effects: implications for feed grain demand and livestock supply

This article examines how corn prices affect the demand for feed grains and the supply of livestock outputs. The differential approach to the theory of the multiproduct firm is employed to examine ex ante decisions about feed grain demand and livestock supply. The estimation results suggest that livestock producers have little flexibility in adjusting the demand for corn in response to an increase in corn prices. The substitutable relationship between corn and distillers’ grains contributes to alleviating pressures on feed costs in response to high corn prices. In addition, the estimation results highlight that the composition of livestock supply can be altered by changes in livestock prices. On the basis of the estimated elasticities, the decompositions of profit‐maximizing input demand are conducted to examine the effects of changes in corn prices on feed grain demand and livestock supply. The decomposition results reveal that an increase in corn prices reduces corn demand but raises the demand for distillers’ grains mainly due to the substitution effects of corn price changes. The decomposition results also show that an increase in the price of corn reduces cattle supply but raises the supply of chicken and pork due to the output relationships in supply.     

Impacts of price and productivity changes on banana‐growing households in Uganda

This article compares the effects of changing market prices and farm productivity on the welfare of banana‐growing households in the Ntungamo district of Uganda. A heterogeneous‐agent model is applied via a series of mathematical optimization problems, to simulate production and consumption responses of 70 farm households surveyed in 2006. Results show that a given increase in productivity has a greater impact on poverty alleviation than that same increase in market prices. Despite the effects of productivity gains being comparable across different types of household groups, price improvements primarily benefit the incomes of households who are involved in rural producer organizations, who are located closer to markets, and who sell at the market.     

The Tariff-Only Import Regime for Bananas in the European Union: Impacts on ACP and Non-ACP Suppliers

The European Union is bound by World Trade Organisation agreements to move to a tariff-only import regime for bananas no later than 1 January 2006. What should change at that date is the trade regime, not the level of protection offered to African, Caribbean and Pacific (ACP) countries. This article provides an assessment of the trade impact of this tariff-only regime on the basis of simulations carried out with a dynamic partial equilibrium model of the world banana market using 2002–03 as the base year. Simulation results show that the tariff levied on imports from non-ACP countries should be set at around €250 per tonne in order to maintain in 2008 the EU import structure that prevailed in 2003. A lower tariff would increase EU total imports, to the benefit of non-ACP countries and to the detriment of the group of ACP countries. Conversely, a higher tariff would decrease EU imports from non-ACP countries and increase imports from ACP suppliers. Under this assumption, the increase in ACP exports to the EU would mainly benefit the two West African suppliers, Cameroon and Ivory Coast, who are more competitive and have a more price elastic supply than the ACP suppliers of the Caribbean islands.     

Transmission of price shifts in the context of structural adjustment: An empirical analysis for staple food after the devaluation of the franc CFA in Ivory Coast

This article analyses price shifts after currency devaluation in the Ivory Coast using a time‐series modelling approach. Model results identify the liberalisation of the import‐rice sector as the key factor for the transmission of price effects. Fixation of the imported rice price as a social compensatory measure hindered the adjustment of prices in the first year after the devaluation. As soon as the price controls on imported rice were lifted, prices changed in favour of tradable goods. The findings in this paper hint at a possible trade‐off between the protection of vulnerable groups during the process of adjustment and the intended incentive effect.     

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.