Measuring the impact of road rehabilitation on spatial market efficiency in maize markets in Mozambique

This article analyzes the impact of road rehabilitation on the spatial market efficiency of maize markets in Mozambique. We estimate a modified version of the Parity Bounds Model (PBM) that allows us to test the impact of road rehabilitation on spatial efficiency. This article seeks to contribute to the existing literature in three ways. First, a unique data set, where road rehabilitation episodes between market pairs are identified, is developed. Second, special care is devoted to estimation of transaction costs due to the sensitivity of the PBM model to the quality of transaction costs estimates. Finally, as opposed to most existing literature that focuses on relatively distant markets, the article focuses on spatially closed markets. We find that maize markets tend to be segmented due to high transport costs. Following road rehabilitation, inefficiency and average absolute price differentials tend to decrease, and market pairs have tended to shift toward autarky regimes. Overall, while the results point broadly toward a positive impact of road rehabilitation on spatial efficiency, they are not as strong or as robust as one would like. Large increases in fuel prices likely offset the positive impacts of road rehabilitation on transaction costs, contributing to the increase in the probability of being in an autarky regime.     

Finding optimal price risk management instruments: the case of the Spanish potato sector

This article offers a comprehensive analysis of the problem of choosing between alternative market risk management instruments. We model farmers' behavior to optimize the certainty equivalent, formulated by a mean–variance model, by combining instruments with and without basis risk. Results are expressed as the demands for hedging with futures, forward contracts and insurance. Theoretical results are applied to a selection of Spanish producers of fresh potatoes, a sector that is exposed to significant market risks. Amsterdam's Euronext provides potato futures prices, and the recently launched revenue insurance in Spain provides the example for price insurance. Three conclusions summarize the article's main findings. First, we show that Spanish potato revenue insurance subsidies are a factor that determines the instrument rankings and choice. Second, the efficiency of insurance subsidies is generally low. Finally, the Amsterdam potato futures market does not provide a cost‐effective means to manage price risks for Spanish fresh potato growers.     

Fractional integration in agricultural futures price volatilities revisited

Jin and Frechette (2004) examined the degree to which agricultural price volatilities exhibited evidence of fractional integration and concluded it was important to consider both long-run and short-run memory when modeling conditional variances. The purpose of this note is to revisit the issue using new methods and techniques which generally reaffirm the view that return volatilities are fractionally integrated and conditionally heteroskedastic, with many exhibiting significant leverage effects, a result not previously reported.     

Cross country maize market linkages in Africa: integration and price transmission across local and global markets

In order to study short‐run price shock propagation, we model twenty seven Sub‐Saharan Africa (SSA) domestic maize markets within a Global Vector Autoregression framework. The main purpose is to fully embed multilateral trade flows as a way to better structure local price transmission dynamics and interdependencies, and get a more comprehensive picture of food price shocks propagation. We found significant between‐country market contagion and prompt regional price shock propagation when trade connection exists. Yet, the integration of SSA domestic maize markets within the continent and with global markets remains generally weak. Furthermore, under regular market conditions, most local price series appear to be more responsive to regional neighbors than to global shocks.     

Moving up the processing ladder in primary product exports: Sri Lanka's "value-added" tea industry

Governments in many developing countries, influenced by the experience of the East Asian newly industrialized countries, have adopted policies to enhance domestic processing of primary commodities as a tool for accelerating employment growth, export revenues, and development. Sri Lanka has traditionally exported tea in the form of bulk (commodity) teas, but “value‐added” teas such as packaged teas, tea bags, etc., have expanded in recent years. This article examines factors affecting the processing of value‐added tea products in Sri Lanka by modeling export supply behavior. Estimates of the long‐run relationship and short‐run dynamics of export supply are presented and discussed. The price of value‐added tea relative to bulk tea, and industry capacity, are identified as the main determinants of export supply, while exchange rate changes have no discernible effect. The policy implications of the analysis for enhancing further expansion of such value‐added teas are presented. These are of interest for both policy makers and development analysts. In particular, the reasons that undermine the effectiveness of exchange rate policy as an instrument to stimulate value addition of primary products have much relevance for similar developing countries.     

Agricultural price distortions: trends and volatility,past, and prospective

Historically, earnings from farming in many developing countries have been depressed by a pro‐urban bias in own‐country policies, as well as by governments of richer countries favoring their farmers with import barriers and subsidies. Both sets of policies reduced global economic welfare and agricultural trade, and added to global inequality and poverty. Over the past three decades, much progress has been made in reducing agricultural protection in high‐income countries and agricultural disincentives in developing countries. However, plenty of price distortions remain. As well, the propensity of governments to insulate their domestic food market from fluctuations in international prices has not waned. Such insulation contributes to the amplification of international food price fluctuations, yet it does little to advance national food security when food‐importing and food‐exporting countries equally engage in insulating behavior. Thus there is still much scope to improve global economic welfare via multilateral agreement not only to remove remaining trade distortions but also to desist from varying trade barriers when international food prices gyrate. This article summarizes indicators of trends and fluctuations in farm trade barriers before examining unilateral or multilateral trade arrangements, together with complementary domestic measures, that could lead to better global food security outcomes.     

Information,efficiency, and welfare in agricultural markets

Information and communications technologies (ICTs) have spread rapidly in the developing world. There has been considerable interest in the potential role ICTs, particularly mobile phones, have begun to play in the marketing of agricultural outputs in these countries. In this article, we discuss the potential impacts ICTs may have on welfare, both in terms of potential efficiency gains (via improved arbitrage), and welfare transfers among agents in the supply chain (via reduced informational asymmetries and market power). We also review the recent empirical evidence for such effects.     

Post–Uruguay Round price linkages between developed and developing countries: the case of rice and wheat markets

The Uruguay Round Agreement on agriculture attempted to lower distortions in global agricultural markets. However, the significant fall in commodity prices in the late 1990s may have reduced the incentives for both developed and developing countries to better integrate into world markets. This study analyzes price linkages and adjustment between developed and developing countries during the post–Uruguay Round period. Prices of two key commodities, long‐grain rice and medium‐hard wheat, are assembled for major exporters and producers. Results of multivariate cointegration analysis suggest partial market integration between developed and developing countries in the post–Uruguay Round period. Developed countries are found to be price leaders in these two markets, and in most cases, changes in their prices have relatively large impacts on those of the developing countries. Developing countries (e.g., Vietnam and Argentina) have faced considerable price adjustment due to changes in the developed countries' prices.     

Energy price reform and food markets: the case of bread supply chain in Iran

Reforming energy price is the core of Iranian economic reform plan during 2010–2014. However, increasing price of energy may have adverse effects on the agricultural and food markets. This study was conducted to address these problems in the most important food of Iranian people “bread” by developing a spatial supply chain model. Results show that consumers’ welfare would experience a sharp decrease though the impacts on farmers are trivial. Also, results indicate that the key to success the reform without political backlash in the short‐run is the cash transfer program under which the government redistributes part of the reform's benefits among consumers. Per capita compensation payments would be equal to 51.50 and 46.09 US$ per year for a typical rural and urban person, respectively. Moreover, the results provide more detailed information about the market characteristics and the payments both in nationwide and regional scale as well as in different income groups.     

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.     

How financial investment distorts food prices: evidence from U.S. grain markets

Convergence between commodity futures prices and the underlying physical assets at each contract's expiration date is a pivotal condition for the market's functioning. Between 2005 and 2010, convergence failed for several U.S. grain markets. This article presents a price pressure‐augmented commodity storage model that links the scale of nonconvergence to financial investment channeled through indices, which are traded in commodity futures markets. The model is empirically tested, using Markov regime‐switching regression analysis. Regression results strongly support the model's predicted link between index investment and the extent of nonconvergence for three grains traded at the Chicago Board of Trade: wheat, corn, and soybeans.     

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.     

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.     

The price stabilization effects of the EU entry price scheme for fruit and vegetables

The article assesses the stabilization effects of the EU import regime for fresh fruit and vegetables based on the entry price system (EPS). The analysis is carried out on the EU prices of tomatoes and lemons and those of imports from some of the main competing countries on the EU domestic markets: Morocco, Argentina, and Turkey. It is based on the estimation of a threshold vector autoregressive econometric model that is shown capable of taking the workings of the import regime into account. The model shows that prices behave differently when import prices are above/below the trigger entry price. This article allowed to highlight the cases for which the isolation effect of EPS seems reached and the resulting stabilization effects.     

Quality control in nonstaple food markets: evidence from India

Using original survey data collected on growers, traders, processors, markets, and village communities, we will compare the situation in four states: Tamil Nadu, Uttar Pradesh, Maharashtra, and Orissa. We examine the way that information about crop attributes is conveyed (or not) along the value chain. We find that little information circulates about unobservable crop characteristics. Growers receive a price premium when they dry, grade, and pack their produce, but we find no evidence that information about crop salubrity or agricultural practices circulates through the value chain or that growers are encouraged to follow specific agricultural practices for quality purposes. Market infrastructure is deficient regarding sanitation, with few public toilets, inadequate drainage, and no coordinated pest control.     

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.     

Tariff quota administration in China's grain markets: An empirical assessment

In 2016, the U.S. launched a trade dispute against China at the World Trade Organization, arguing that China has been restricting its grain imports via tariff quota administration. Despite sharp criticisms by the U.S., the extent to which the grain imports were restricted in China remains largely unknown, primarily due to that China's grain import behaviors are still under-researched. The U.S. grain export sector might actually gain little from China's grain trade liberalization in the short run, since China has become less import dependent on the U.S. through the pursuit of import diversification. In this context, this article aims to quantify impacts of the tariff quota administration on China's grain imports from its trading partners. We calculate ad valorem tariff equivalents of the tariff quota administration and then estimate import demand elasticities using a source differentiated import demand model. We find that the tariff quota administration might have reduced China's quota fill rates for the grain commodities by 10–35% during 2013–2017. In particular, the U.S. wheat exports to China were largely negatively affected. We also find that the tariff quota administration in China acts like a variable import levy—its import restrictiveness varies negatively with world prices, leading to lower import demand elasticities.     

More reasons why farmers have so little interest in futures markets

The use by farmers of futures contracts and other hedging instruments has been observed to be low in many situations, and this has sometimes seemed to be considered surprising or even mysterious. We propose that it is, in fact, readily understandable and consistent with rational decision making. Standard models of the decision about optimal hedging show that it is negatively related to basis risk, to quantity risk, and to transaction costs. Farmers who have less uncertainty about prices and those with a diversified portfolio of investments have lower optimal levels of hedging. If a farmer has optimistic price expectations relative to the futures market, the incentive to hedge can be greatly reduced. And finally, farmers who have low levels of risk aversion have little to gain from hedging in terms of risk reduction, in that the certainty‐equivalent payoff at their optimal hedge may be little different than the certainty equivalent under zero hedging. These reasons are additional to the argument of Simmons (2002) who showed that, if capital markets are efficient, farmers can manage their risk exposure through adjusting their leverage, obviating the need for hedging instruments.