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Agricultural Prices and Commodity MarketAnalysis discusses the application of economictheory to agriculture and the foodindustry, using quantitative tools. The blendof theory and application is unique in detailinghow demand and supply can be measuredand how econometric simulationmodels can be constructed and evaluated.This revised edition focuses on forecastingand generating long-term projections as wellas discussing the relatively unexplored areaof stochastic modeling, which is critical inhandling crop yield variability. Other topicscovered include agricultural policy analysisand futures/options markets. The role oftime series models in improving structuralequations and forecasting techniques providesa capstone.
Fluctuations of commodity prices, most notably of oil, capture considerable attention and have been tied to important economic effects. This book advances our understanding of the consequences of these fluctuations, providing both general analysis and a particular focus on the countries of the Pacific Rim.
The energy transition requires substantial amounts of metals such as copper, nickel, cobalt and lithium. Are these metals a key bottleneck? We identify metal-specific demand shocks, estimate supply elasticities and pin down the price impact of the energy transition in a structural scenario analysis. Metal prices would reach historical peaks for an unprecedented, sustained period in a net-zero emissions scenario. The total value of metals production would rise more than four-fold for the period 2021 to 2040, rivaling the total value of crude oil production. Metals are a potentially important input into integrated assessments models of climate change.
All major U.S. agricultural program crops -- corn, barley, sorghum, oats, wheat, rice, and soybeans -- have exhibited extreme price volatility since mid-2007, while rising to record or near-record levels in early 2008. Several international organisations have announced that the sharply rising commodity prices are likely to have dire consequences for the world's vulnerable populations, particularly in import-dependent, less developed nations. In the United States, high commodity prices have pushed farm income to successive annual records and have sharply lowered government farm program costs, but they have also stoked the flames of food price inflation and have raised costs for livestock producers and food processors. In addition, high, unexpectedly volatile prices have increased the risk and costs associated with grain merchandising. In particular, they have dramatically increased the cost of routine hedging activities (i.e., pricing commodities for purchase, delivery, or use at some future date) at commodity futures exchanges and, as a result, have diminished "forward contracting" opportunities for grain and oilseed producers who are eager to take advantage of record high market prices. For some crops (particularly for wheat and rice), the price increases are likely to be relatively short-term in nature and are due to weather-related crop shortfalls in major producer and consumer countries, a weak U.S. dollar that has helped spark large increases in U.S. exports, a bidding war among major U.S. crops for land in the months leading up to spring planting in 2008, and the often perverse price effects resulting from international policy responses by several major exporting and importing nations to protect their domestic markets. Assuming a return to normal weather, these factors will likely self-correct within two growing seasons as global supplies are replenished and prices moderate. For coarse grains (corn, sorghum, barley, oats, and rye), oilseeds, and oilseed products (e.g., vegetable oil and meal), the price increases have also been due to strong, sustained demand deriving from two sources: robust income growth in developing countries (e.g., China and India), which has contributed to increased demand for meat products and the feed grains needed to produce that meat; and growing agricultural feedstock demand to meet large increases in government biofuel-usage mandates or goals in the United States, the European Union, and other countries. Market analysts, including the United Nations' Food and Agricultural Organization (FAO), are predicting record global grain and oilseed production in 2008 in response to the high market prices. However, given the overall strength in demand growth, most market analysts predict that when commodity supplies eventually recover and prices moderate from current high levels, the new equilibrium prices will be significantly higher than has traditionally been observed during periods of market balance. This book examines the causes, consequences, and outlook for prices of the major U.S. program crops
The recent global financial crisis exposed the serious limitations of existing economic and financial models. Not only did macro models fail to predict the crisis, they seemed incapable of explaining what was happening to the economy. Policymakers felt abandoned by the conventional tools of the now obsolete Washington consensus and the World Trade Organization’s oversimplified faith in free markets.The traditional models for agricultural commodities have so far failed to take into account the uncertain character of the global agricultural economy and its ferocious consequences in food price volatility, the worst in 300 years, yielding hunger riots throughout the world. This book explores the elements which could help to close this fundamental modeling gap. To what extent should traditional models be questioned regarding agricultural commodities? Are prices on these markets foreseeable? Can their evolution be either predicted or convincingly simulated, and if so, by which methods and models? Presenting contributions from acknowledged experts from several countries and backgrounds – professors at major international universities or researchers within specialized international organizations – the book concentrates on four issues: the role of expectations and capacity of prediction; policy issues related to development strategies and food security; the role of hoarding and speculation and finally, global modeling methods. The book offers a renewed wisdom on some of the core issues in the world economy today and puts forward important innovations in analyzing these core issues, among which the modular modeling design, the Momagri model being a seminal example of it. Reading this book should inspire fruitful revisions in policy-making to improve the welfare of populations worldwide.
We study how two aspects of food insecurity - caloric insufficiency and diet composition - are affected by aggregate economic fluctuations. The use of cross-country panel data allows us to adopt a global prospective on the identification of the macroeconomic determinants of food insecurity. Income shocks are the most relevant driver of food insecurity, displaying high elasticities at the early stages of economic development. The role of food price shocks is more limited. Social protection has a direct effect and mitigates the impact of income shocks. Effects are highly heterogeneous across a range of structural characteristics of the economy, highlighting the role of distributional aspects and of food import dependency.
This book provides fresh insights into concepts, methods and new research findings on the causes of excessive food price volatility. It also discusses the implications for food security and policy responses to mitigate excessive volatility. The approaches applied by the contributors range from on-the-ground surveys, to panel econometrics and innovative high-frequency time series analysis as well as computational economics methods. It offers policy analysts and decision-makers guidance on dealing with extreme volatility.
The Agricultural Outlook 2019-2028 is a collaborative effort of the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization (FAO) of the United Nations. It brings together the commodity, policy and country expertise of both organisations as well ...
Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.