Do nonrenewable-energy prices affect renewable-energy volatility? The case of wood pellets

Over the past decade, the U.S. Southeast has experienced a rapid expansion of wood-pellet biomass production for European export. This renewable wood-pellet supply requires nonrenewable-energy inputs in its manufacturing and logistics, which suggests possible price-volatility spillovers between renewable and nonrenewable markets. A BEKK-MGARCH model is employed for investigating these possible price-volatility spillovers. Overall, results suggest a limited negative effect of past volatile nonrenewable-energy prices influencing current wood-pellet price volatility. Specifically, high volatilities in nonrenewable-energy prices do not affect the volatility of wood-pellet prices. Thus, any stability concerns in terms of nonrenewable-input prices affecting the wood-pellet market are not warranted.     

Price volatility in Niger millet markets

Price volatility of food staples is one of the most complex factors affecting food security. Recent food price crises have raised academic interest in improved volatility assessment. The widely held assumption in econometric volatility models that long‐run volatility is constant, has been recently questioned and partly blamed for these crises. A multiplicative MGARCH model recently proposed by Bauwens et al. is used in this article to model price volatility transmission along the Niger millet marketing chain. Results suggest important volatility links between consumer and producer prices, as well as noteworthy differences between short and long‐run price dynamics.     

Evaluating price transmission between global agricultural markets and consumer food price indices in the European Union

This paper uses error correction models to evaluate the extent to and speed at which world agricultural commodity price movements affect consumer food prices in the European Union member states. We consider three types of world commodity price indices, each containing different commodities and weighting criteria. Results reveal a long‐run relationship between world agricultural commodity and consumer food prices in over half of the member states. Consumer prices in different member states and categories of member states respond differently to specific world price indices, suggesting that there are disparities in the structure and the efficiency of their food markets. The eurozone founders generally have lower transmission elasticities. This should be taken into account when predicting the impacts of extreme world price volatility and consumer food price rises, prompting governments to pay attention to the most vulnerable households.     

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.     

Cropland use,yields, and droughts: spatial data modeling for Burkina Faso and Niger

For countries with recurrent droughts, the design of drought impact mitigation measures could benefit from analyses of determinants of yields and prices of local crops at regional and district level. This study applies dynamic spatial panel data regression models to yields and prices of four major food crops across regions of Burkina Faso and Niger, over sample periods between 1984 and 2006. Results lend support to mainly simultaneous spatial spillovers, particularly for millet and cowpea prices and sorghum yields in Niger, and maize yields in Burkina Faso. After accounting for these effects, most crop yields are found to be weakly price‐responsive, as envisaged by a supply‐side geographical diffusion hypothesis. Seasonal rainfall elasticity estimates suggest that dominant food crops have slight advantage margins in terms of relative resilience to rainfall shortages. However, this result is to be weighed against low millet yields in Niger, and marked drops in sorghum yields during officially declared droughts in Burkina Faso.     

High food commodity prices: will they stay? who will pay?

Much of the public discussion of the food price crisis has focused on the sharply increased use of food commodities for biofuel production, framing debate in simple food versus fuel terms. Reality is more complex. Multiple forces drove food prices to high levels and, according to findings we report in this article, these forces will sustain high prices over the medium term. We also find that the distinction between high world prices for food commodities and the consumer costs of food is an important one to make. Food consumers do not buy raw food commodities at international prices. The degree to which the price of traded food commodities and the price of food are related depends on a long list of factors, most of which operate to dampen price transmission. In the search for appropriate policy response, it is essential to measure consumer effects correctly and to apportion properly the causes of current high prices.     

Cereal price shocks and volatility in sub‐Saharan Africa: what really matters for farmers’ welfare?

The lack of information as well as some misperceptions about the distinction between the welfare consequences of higher versus more volatile cereal prices has limited the effectiveness of policy interventions during the recent food crises in many developing countries. This article proposes an integrated empirical strategy to investigate and compare the different effects of these two phenomena and tests it using nationally representative household survey data from four sub‐Saharan countries. Results show that the negative impacts of a cereal price increase substantially outweigh the effects of price volatility on household welfare across the entire income distribution. The amplitude and the distribution of those effects depend heavily on specific factors, such as: the weight of food consumption over total expenditure; the budget share devoted to cereals; the substitution effect among food groups; and the relative number of net sellers versus net buyers accessing the market. We also show that volatility mainly harms the poorest quintile of the population.     

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.     

Market interdependence and volatility transmission among major crops

This article provides a comprehensive analysis of the dynamics of volatility across major agricultural commodities in the United States. Volatility interactions across markets may lower the effectiveness of diversification strategies to mitigate price risks and should be taken into account when analyzing the pricing behavior of different agricultural commodities. We follow a multivariate GARCH approach to evaluate the time evolution of conditional correlations and volatility transmission across corn, wheat, and soybeans price returns on a daily, weekly, and monthly basis. The period of analysis is from 1998 to 2012. The estimation results indicate a lack of lead‐lag relationships between corn, wheat, and soybeans price returns at the mean level. We find, however, important volatility spillovers across commodities, particularly at the weekly and monthly level. Wheat and corn seem to play a major role in terms of volatility transmission. Despite the supposed higher financial market integration of agricultural commodities, we do not observe that agricultural markets have become more interdependent in recent years.     

Options for African agriculture in an era of high food and energy prices

In a world of high food and energy prices, Africa has an imperative to do a better job feeding itself and ensuring that its people are food secure. At the same time, there is a new business opportunity to work with the private sector in developing the continent's potential to produce significantly more food, raw materials, and biofuels for regional and world markets. A challenge for African policy makers is to find the right balance between a food security and a business agenda, and to ensure that the business agenda engages with large numbers of small farms. Agricultural development requires many things, but the fundamentals for Africa are developing markets, increasing agricultural productivity, and managing volatility. This cannot happen at sufficient scale and speed without strong public sector leadership, enabling policies and investments, and well‐focused implementation strategies.     

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.     

New markets and technological change for the traditional cereals in semiarid sub-Saharan Africa: the Malian case

During the last three decades in sub‐Saharan Africa, development and research resources have concentrated on the higher‐rainfall and irrigated regions, especially on export crops and the principal food crops grown there. There has been much less concern and investment in semiarid regions without irrigation. Another negative factor has been the lack of public policy concern with the profitability of the basic food crops. With good weather, prices collapse. With bad weather, governments and NGOs dispense food crops as food aid or at subsidized prices. This article documents the importance of the demand side to facilitate diffusion of new technologies for the basic food commodities of semiarid regions—the traditional cereals. With farm programming models aggregated into a sector model, the combination of technological change and demand shifts for sorghum are evaluated in one semiarid region where the traditional cereals are concentrated. It focuses on combining policies to increase the prices farmers receive after introduction of technologies that use higher input levels. It also compares benefits of a strategy that focuses on yield and demand increases for a traditional cereal of the semiarid region, sorghum, with two alternative strategies for the higher‐rainfall zone.     

Using a functional approach to test trending volatility in the price of Mexican and international agricultural products

In this article, we extend the traditional GARCH(1,1) model by including a functional trend term in the conditional volatility of a time series. We derive the main properties of the model and apply it to all agricultural commodities in the Mexican CPI basket, as well as to the international prices of maize, wheat, swine, poultry, and beef products for three different time periods that implied changes in price regulations and behavior: before the North American Free Trade Agreement (NAFTA; 1987–1993), post‐NAFTA (1994–2005), and commodity supercycle (2006–2014). The proposed model seems to adequately fit the volatility process and, according to heteroscedasticity tests, also outperforms the ARCH(1) and GARCH(1,1) models, some of the most popular approaches used in the literature to analyze price volatility. Our results show that, consistent with anecdotal evidence, price volatility trends increased from the period 1987–1993 to 1994–2005. From 1994–2005 to 2006–2014, trends decreased but the persistence of volatility increased for most products, especially for international commodities. In addition, we identify some agricultural products such as avocado, beans, and chicken that, due to their increasing price volatility trends in the 2006–2014 period, may present a risk for food inflation in the short run.     

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.     

The impact of OECD biofuels policies on developing countries

OECD countries’ biofuels policies, derived from energy and environmental legislation and activated by high oil prices, were the primary cause of not only the sudden spike in grain and oilseed prices in 2007–2008 but also of the ensuing price volatility. Even though developing countries have a comparative advantage in biofuels production, they were shut out of rich countries’ biofuel markets by trade discriminating biofuels policies. Developing countries would not have been able to take full advantage of the price spike in the short run anyway given the low supply elasticities and the long time required for biofuel production to come online, unlike for corn‐ethanol. The controversy over the right price of food is misplaced and policy makers should instead focus on improving biofuels policies, which like their counterpart agricultural policies in previous decades, have damaged the welfare of developing countries.     

Impacts in Uganda of rising global food prices: the role of diversified staples and limited price transmission

This study assesses the potential impact of rising world food prices on the welfare of Ugandan households. While Uganda experienced sharply higher food prices in 2008, as a landlocked, food‐exporting country the causes of those price changes were mainly regional and indirect rather than directly transmitted from global markets. Using trade volumes, food prices, and household survey data we describe how Uganda, unlike some other countries, is partially shielded from direct impacts of global food price movements. Although the majority of Ugandans are net food buyers, the adverse impact at household‐level of rising global prices is moderated by the relatively large quantity and range of staples consumed that come from home production. Moreover, several of these are not widely traded. Some population groups in Uganda are vulnerable to rising food prices, however, primarily those for whom maize is an important staple, including those dependent upon humanitarian relief and the urban poor. Only a relatively small group of Ugandan households will benefit directly and immediately from rising food prices—the significant net sellers of food crops constituting between 12% and 27% of the population. In this assessment we do not estimate the level and extent of wider second round effects from these higher prices.     

Economic growth,convergence, and agricultural economics

After nearly two centuries of lagging behind the industrial countries, growth in many developing countries has surged since the early 1990s. This outperformance has major implications for almost all areas of agricultural economics and, if continued, will likely do so into the future. This article aims to identify the key ways in which the changes in rich and poor country growth rates matter for agricultural economists, as a basis for formulating better research agendas. A key impact arises through sharp increases in demand for agricultural resources as demand for livestock products increases. This changing structure of food demand has important implications for nutrition studies and policies, with the emergence of a double burden of malnutrition. On the supply side, growth in developing countries tends to increase domestic food supply, which is also boosted by increases in research and development spending. Growth in developing countries both stimulates and benefits from increases in infrastructure investment, evaluation of which requires new analytical tools. Negative impacts include the contribution of increased demand for livestock products to global greenhouse gas emissions. In terms of trade policy, growth in developing country is tending to lead to convergence of agricultural policies with the pattern of assistance seen in today's developed countries, raising concerns about the future need to deal with collective action problems, particularly those that increase the volatility of world prices.     

The linkage between the U.S. ethanol market and developing countries’ maize prices: a panel SVAR analysis

The major expansion of U.S. ethanol production raises concerns about the potential detrimental impacts on developing countries’ agricultural prices, farm income, and food security. To assess the sensitivity of maize prices to ethanol production, this study explores the linkage between the U.S. ethanol market and developing countries’ maize prices. The econometric approach, based on a panel structural vector autoregression model, captures market interdependencies and the likelihood that developing countries’ responses are both heterogeneous and dynamic. The results indicate that the U.S. ethanol market's impacts on maize prices in developing countries are heterogeneous and that coastal countries are more susceptible to U.S. economic shocks. The estimates also suggest that countries more dependent on food imports and/or receiving U.S. food aid are at a higher risk of being affected by such shocks. Overall, the results indicate that those countries with the greatest sensitivity and exposure to global agricultural commodity markets could benefit from domestic policies and international assistance, which reduce their exposure to impacts from the U.S. maize market.     

The financial crisis and its impacts on global agriculture

The financial crisis arose in the industrial countries, but has affected developing countries through higher interest rates, sharp changes in commodity prices, and reductions in investment, trade, migration, and remittances. For most low‐income countries, shocks that affect food prices or wage rates for unskilled workers seem likely to have the biggest impact on poverty, with the declines in key food prices associated with the crisis helping to reduce poverty. Policies to address the crisis must include measures to deal with: financial sector problems; the resulting reductions in aggregate demand; and the particular vulnerabilities of poor people.     

An optimal phased replanting approach for cocoa trees with application to Ghana

This study solves for the optimum replacement rate (ORR) and initial replacement year (IRY) of cocoa trees (Theobroma cacao) in Ghana to maximize net present value and achieve steady state by employing a phased replanting approach. The annual ORR is 5%–7% across the three production systems studied: Low Input, Landrace Cocoa, High Input, No Shade Amazon Cocoa, and High Input, Medium Shade Cocoa. The optimal IRY ranges from year 5 to year 9 as a function of cocoa prices, fertilizer prices, labor prices, and percentage yield loss due to disease outbreaks. Deterministic results project economic gains that exceed currently practiced replacement approaches by 5.57%–14.67% across production systems with reduced, annual income volatility. The method applied in this study can be used to increase cocoa yields and stabilize income over time, and facilitate substantial quality of life improvements for many subsistence cocoa farmers in Ghana and around the world.