Inter‐ and intra‐seasonal crop acreage response to international food prices and implications of volatility

Understanding how producers make decisions to allot acreage among crops and how decisions about land use are affected by changes in prices and their volatility is fundamental for predicting the supply of staple crops and, hence, assessing the global food supply situation. This study makes estimations of monthly (i.e., seasonal) versus annual global acreage response models for the world's principal staple food crops: wheat, corn, soybeans, and rice. Primary emphasis is given to the magnitude and speed of the allocation process. Estimation of intra‐annual acreage elasticity is crucial for expected food supply and for input demand, especially in the light of the recent short‐term volatility in food prices. The econometric results indicate that global crop acreage responds to crop prices and price risks, input costs as well as a time trend. Depending on respective crop, short‐run elasticities are about 0.05 to 0.40; price volatility tends to reduce acreage for some of the crops; comparison of the annual and the monthly acreage response elasticities suggests that acreage adjusts seasonally around the globe to new information and expectations. Given the seasonality of agriculture, time is of an essence for acreage response. The analysis indicates that acreage allocation is more sensitive to prices in the northern hemisphere spring than in winter and the response varies across months.     

Canadian Cattle Cycles and Market Shocks

We analyze Canadian beef cattle cycles using time‐series properties of four variables: total cattle inventories, beef cow inventories, beef supply, and beef prices. Our aim is to provide up‐to‐date estimates of the duration of the cycles, and to determine whether or not some of the recent market shocks can be associated with changes in the nature of the cycles. Spectral decomposition of the variables reveals 10‐year cycles in total cattle inventories, beef cow inventories, beef supply, and beef prices. Seasonal and annual cycles are also found in beef supply and prices, respectively. Using intervention analysis, exchange rate appreciation, feed price escalation, and bovine spongiform encephalopathy (BSE) are modeled as pure jumps. Exchange rate and feed price shocks are modeled as having started in 2002 and 2007, respectively, and persisted up to the end of the sample period, while BSE is modeled as a shift for the period 2003 to 2005. We find significant impacts of the three shocks on total inventories, but beef supply appears to have been impacted by exchange rates and BSE. A spectral comparison of the pre‐ and post‐shock periodograms of beef supply reveals a 58% reduction in the peak amplitude of the beef supply cycle.     

Impacts of Market Reform on Spatial Volatility of Maize Prices in Tanzania

Maize is one of the major staples and cash crops for many Tanzanians. Excessive volatility of maize prices destabilises farm income in maize‐growing regions and is likely to jeopardise nutrition and investment in many poor rural communities. This study investigates whether market reform policies in Tanzania have increased the volatility of maize prices, and identifies regional characteristics that can be attributed to the spatial price volatility. To achieve the objectives, an autoregressive conditional heteroskedasticity in mean (ARCH‐M) model is developed and estimated in this study. Results show that the reforms have increased farm‐gate prices and overall price volatility. Maize prices are lower in surplus and less developed regions than those in deficit and developed regions. Results also show that the developed and maize‐deficit regions, and regions bordering other countries have experienced less volatile prices than less developed, maize‐surplus and non‐bordering regions. Our findings indicate that investments in communication and transportation infrastructures from government and donor countries are likely to increase inter‐regional and international trade, thereby reducing the spatial price volatility in Tanzanian maize prices in the long run.     

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.     

中加菜籽油期货市场波动溢出实证研究

利用误差修正模型、BEKK-GARCH模型和格兰杰因果关系实证研究了加拿大和中国菜籽油期货市场之间的信息传导、波动溢出和价格引导关系。实证结果显示：这两个市场之间存在一定的信息传导关系;加拿大菜籽油期货市场对中国菜籽油期货市场存在显著的波动溢出效应,而中国菜籽油期货市场对加拿大菜籽油期货市场的波动溢出不显著;短期内加拿大菜籽油期货市场对中国菜籽油期货市场的价格引导作用更强些,这与加拿大菜籽油期货市场是全球菜籽油定价中心的实际相吻合,而中国菜籽油期货市场的竞争力有待进一步提升。     

Effects of international shocks and domestic macroeconomic policies upon Brazilian agriculture

An identified vector-autoregressive model is used to analyze the transmission of external commodity shocks to the Brazilian economy. The effects of the interaction between domestic macroeconomic (monetary and exchange rate) policies and external shocks to agricultural commodity (raw material and food) prices and crude oil price upon domestic (agriculture/industry) terms of trade are estimated.     

A roller coaster ride: an empirical investigation of the main drivers of the international wheat price

Over the last decade, commodity prices have registered substantial booms and busts marked by extreme volatility. Wheat in particular, one of the main nonoil commodities, has registered a roller coaster in price levels which seems to be inconsistent with supply and demand fundamentals. To acutely investigate the drivers of wheat prices and quantify their impact, a vector error correction model (VECM) has been used. The exogenous variables have been distinguished into four groups: market‐specific factors, broad macroeconomic determinants, speculative components, and weather variables. The quadriangulation of the determinants will enable us to better understand the movements in wheat price and identify the specific role of each component. The results show that a mix of factors are contributing to wheat price movements, including speculation, global demand, and real effective exchange rate.     

The Term Structure of Implied Forward Volatility: Recovery and Informational Content in the Corn Options Market

Using a flexible method, we develop the term structure of volatility implied by corn futures options with differing maturities, and evaluate its ability to predict subsequent realized price volatility. The implied forward volatilities anticipate realized volatility well. For the nearby interval, the implied forward volatilities provide unbiased forecasts, and are superior to forecasts based on historical volatilities. For more distant intervals, early-year options predict the direction and magnitude of future volatility changes about as well as a three-year moving average and better than a naïve forecast. However, later-year options display less forecast power in part due to reduced trading activity.     

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.     

Excerpts from the EU‐integration Story of Hungarian Agriculture: Heading Where?

Cereal production in Hungary doubled in 2004/2005 over the previous year and was 4 per cent lower in 2005/2006. There were 3.9 million tones of cereals taken into intervention in the 2004/2005 season, while until January 8, 2006, an additional 3.7 million tonnes of new crop were offered. High transport cost is a serious drawback for wheat and maize, produced under otherwise good natural conditions in the CEE region, in competing within the EU or in third country markets. The combined effects of an intervention price above ε90 a tonne, the implementation of the SPS and the decoupling of the national 'top-up' for arable crops together with the introduction of compulsory set-aside are unlikely to reduce cereal production in Hungary. Under normal conditions, 14.5–15 million tonnes of cereal stocks could be accumulated by 2010. In the pre-accession years livestock producers in Hungary enjoyed some direct subsidies but they had almost no access to investment and capital aids. This and the late approval of rural development programmes contributed largely to the decline in production. Despite huge excess stocks of cereals, the prospects for these major feed grain consuming sectors to expand look rather slim in the mid-term, due mainly to structural problems and the lack of capital for modernisation. Taken together these factors are likely to keep cereal market prices in Hungary under pressure in the next few years, despite the implementation of the SPS.     

THE EFFECTS OF FLEXIBLE EXCHANGE RATES ON AUSTRALIAN WOOL PRICES*

The implication of price stabilisation under a volatile exchange rate is an increasingly volatile price denominated in a foreign currency. Time series analysis is used to model the relationship between exports, prices and AWC stocks. This model is used to assess the distribution of the impact of exchange rate shocks on prices denominated in local and foreign currencies. It is found that the AWC has significantly reduced the impact of exchange rate shocks on domestic prices.     

How to Understand High Food Prices

Agricultural price booms are better explained by common factors than by market‐specific factors such as supply shocks. A capital asset pricing model‐type model shows why one should expect this and Granger causality analysis establishes the role of demand growth, monetary expansion and exchange rate movements in explaining price movements over the period since 1971. The demand for grains and oilseeds as biofuel feedstocks has been cited as the main cause of the price rise, but there is little direct evidence for this contention. Instead, index‐based investment in agricultural futures markets is seen as the major channel through which macroeconomic and monetary factors generated the 2007–2008 food price rises.     

El Niño southern oscillation and its effects on world vegetable oil prices: assessing asymmetries using smooth transition models

In this research, we examine the effects of El Niño southern oscillation (ENSO) on market dynamics of major vegetable oil prices. We adopt a smooth transition vector error correction modelling framework to analyse the impacts of ENSO events on the vegetable oil prices and, more interestingly, to investigate the asymmetric nature of the ENSO dynamics and price responses to ENSO shocks. The results confirm self‐exciting type nonlinearities in the ENSO dynamics, and presence of the so‐called transactions cost band in the system of vegetable oil prices. These nonlinearities yield the history‐specific asymmetries in the vegetable oil price dynamics, wherein effects of ENSO shocks on the ENSO dynamics and the vegetable oil prices vary considerably between different ENSO regimes. In general, positive deviations, El Niño events, result in the vegetable oil price increase, while negative deviations, La Niña events, result in decrease in the prices. We illustrate these effects using generalised impulse‐response functions and the derived asymmetry measures.     

On estimating Armington elasticities for Japan's meat imports

By fully accounting for the distinct tariff regimes levied on imported meat, we estimate substitution elasticities of Japan's two-stage import aggregation functions for beef, chicken and pork. Although the regression analysis crucially depends on the price that consumers face, the post-tariff price of imported meat depends not only on ad valorem duties but also on tariff rate quotas and gate price system regimes. The effective tariff rate is consequently evaluated by utilising monthly transaction data. To address potential endogeneity problems, we apply exchange rates that we believe to be independent of the demand shocks for imported meat. The panel nature of the data allows us to retrieve the first-stage aggregates via time dummy variables, free of demand shocks, to be used as part of the explanatory variable and as an instrument in the second-stage regression.     

Effect of off‐farm income on smallholder commercialization: panel evidence from rural households in Ethiopia

This article investigates how off‐farm income affects crop output market participation decisions and marketed surplus of smallholder farmers in Ethiopia. A double‐hurdle model is estimated using three waves of panel data from the Ethiopian Rural Household Survey. Unobserved heterogeneity is controlled for using a correlated random effect procedure and potential endogeneity of explanatory variables using a control function approach. The results show that off‐farm income has no significant influence on household crop output market participation. However, conditional on market participation, additional off‐farm earnings negatively affect the marketed surplus. This indicates that farmers use off‐farm earnings for consumption rather than for investment in agricultural production. Policy measures that promote rural investment may help increase returns to labor for land‐poor households participating in off‐farm work in the process of agricultural commercialization.     

Labour Market Adjustment and Intra‐Industry Trade: The Effects of Association on the Hungarian Food Industry

The structure of Hungary’s food trade expansion over the period 1995–2003 and its implications for labour market adjustment are examined. The contributions of the paper are threefold. First, we test the sensitivity of results to the choice of measurement and their implications for the results. Second, we introduce more industry‐specific control variables. Third, we distinguish the short‐ and long‐run adjustment effects. Our results provide some support for the smooth‐adjustment hypothesis of intra‐industry trade. Estimations confirm that industry‐specific variables may have a significant effect on adjustment costs.     

Food Grain Policies in India and their Implications for Stocks and Fiscal Costs: A Dynamic Partial Equilibrium Analysis

We analyse current and possible future reforms of the Indian food policies for the most important staple grains, wheat and rice, within a two‐commodity dynamic partial equilibrium model with stochastic shocks. The model is empirically grounded and reproduces past values well. It uses a new reduced‐form approach to capture private storage dynamics. We evaluate the implementation of the National Food Security Act (NFSA) under several policy measures with the current regime as well as two scenarios with a regime change – implementation of cash transfers and deficiency payments. Implications for market fundamentals and fiscal costs are simulated in the medium term – until 2020/21. The NFSA puts a high pressure on fiscal costs and public stocks. Relying on imports with low support prices results in low fiscal costs and stable, but higher domestic and international prices, and a high risk of zero stocks. A policy strategy to manipulate procurement prices in order to maintain public stocks close to the norms leads to slightly higher fiscal costs with lower, but more volatile prices. The highest domestic price volatility occurs under a strategy which uses export bans in order to maintain sufficient public stocks. A cash‐based regime can bring considerable savings and curb fiscal costs, particularly if targeted to the poor, and would leave sufficient stocks due to higher private stocks.     

Linkages between natural gas,fertiliser and cereal prices: A note

We use structural vector autoregressions to analyse the dynamic effects of shocks to natural gas and nitrogenous fertiliser prices on three major cereal crops: maize, rice and wheat. We find that the response of cereal prices to natural gas and fertiliser price shocks has been relatively small, instantaneous and transitory. These findings suggest that crop prices may change rapidly in response to energy and fertiliser prices, even when there are no shifts in the underlying fundamentals in crop markets. Furthermore, because the effects of the shocks dissipate rather quickly, short-term measures to address swings in food prices may suffice.     

A structural time series analysis of US broiler exports

A structural time series model is used to determine the dynamic characteristics, forecasting properties, and policy implications of factors affecting the US broiler export market. The emphasis is on international market responsiveness. The analysis indicates that in addition to the explanatory variables a trend component has been vital in the expansion of the broiler industry during the study period. The results indicate that export markets are more price responsive than the domestic markets, that interventions in the Canadian and Mexican markets reduce their imports, and exchange rate changes have significant impacts on US exports.     

Cotton market integration and the impact of China's new exchange rate regime

This article studies the integration of China's cotton market with the international market, especially the U.S. market. Investigating the futures prices from the Intercontinental Exchange (ICE) in the U.S. and the Zhengzhou Commodity Exchange (ZCE) in China with several time series models, we find that a long‐run cointegration relationship exists between these two series. The two markets share price transmissions, and based on results from an Autoregressive Conditional Heteroskedasticity (ARCH) model, we find their price volatilities are similar. We argue that China's recent exchange rate reform and its gradual liberalization in bilateral cotton trade since it joined World Trade Organization have had important impacts on these futures markets. Based on these findings, several important economic and policy implications are derived.