Agricultural Marketing: Structural Models for Price Analysis (Routledge Textbooks in Environmental and Agricultural Economics)

 
9780415480444: Agricultural Marketing: Structural Models for Price Analysis (Routledge Textbooks in Environmental and Agricultural Economics)
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The price of food has become very volatile in recent years for a variety of reasons, including a strengthened connection between the prices of agricultural commodities and other commodities such as oil and metals, more volatile production due to more frequent droughts and floods, and a rising demand for biofuels. Understanding the determinants of agricultural commodity prices and the connections between prices has become a high priority for academics and applied economists who are interested in agricultural marketing and trade, policy analysis and international rural development.

This book builds on the various theories of commodity price relationships in competitive markets over space, time and form. It also builds on the various theories of commodity price relationships in markets that are non-competitive because processing firms exploit market power, private information distorts commodity bidding, and bargaining is required to establish prices when the marketing transaction involves a single seller and buyer. Each chapter features a spreadsheet model to analyze a particular real-world case study or plausible scenario, and issues considered include:

  • the reasons for commodity price differences across regions
  • the connection between the release of information and the rapid adjustment in a network of commodity prices
  • the specific linkage between energy and food prices
  • bidding strategies by large exporters who compete in import tenders.

The simulation results that are obtained from the spreadsheet models reveal many important features of commodity prices. The models are also well suited for additional "what if" analysis such as examining how the pattern of trade in agricultural commodities may change if shipping becomes more expensive because of substantial increase in the world price of oil.

Model building and the analysis of the simulation results is a highly effective way to develop critical thinking skills and to view agricultural commodity prices in a rigorous and unique way. This is an ideal resource for economics students looking to gain develop skills in the areas of Agricultural Marketing, Commodity Price Analysis, Models of Commodity Markets, Quantitative Methods and Commodity Futures Markets.

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About the Author:

James Vercammen is Professor at the University of British Columbia, Canada, and currently holds a joint position with the Food and Resource Economics Group and the Sauder School of Business.

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9780415480437: Agricultural Marketing: Structural Models for Price Analysis (Routledge Textbooks in Environmental and Agricultural Economics)

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ISBN 10:  0415480434 ISBN 13:  9780415480437
Publisher: Routledge, 2011
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Book Description Taylor & Francis Ltd, United Kingdom, 2011. Paperback. Condition: New. Language: English. Brand new Book. The price of food has become very volatile in recent years for a variety of reasons, including a strengthened connection between the prices of agricultural commodities and other commodities such as oil and metals, more volatile production due to more frequent droughts and floods, and a rising demand for biofuels. Understanding the determinants of agricultural commodity prices and the connections between prices has become a high priority for academics and applied economists who are interested in agricultural marketing and trade, policy analysis and international rural development.This book builds on the various theories of commodity price relationships in competitive markets over space, time and form. It also builds on the various theories of commodity price relationships in markets that are non-competitive because processing firms exploit market power, private information distorts commodity bidding, and bargaining is required to establish prices when the marketing transaction involves a single seller and buyer. Each chapter features a spreadsheet model to analyze a particular real-world case study or plausible scenario, and issues considered include:the reasons for commodity price differences across regionsthe connection between the release of information and the rapid adjustment in a network of commodity pricesthe specific linkage between energy and food pricesbidding strategies by large exporters who compete in import tenders.The simulation results that are obtained from the spreadsheet models reveal many important features of commodity prices. The models are also well suited for additional "what if" analysis such as examining how the pattern of trade in agricultural commodities may change if shipping becomes more expensive because of substantial increase in the world price of oil. Model building and the analysis of the simulation results is a highly effective way to develop critical thinking skills and to view agricultural commodity prices in a rigorous and unique way. This is an ideal resource for economics students looking to gain develop skills in the areas of Agricultural Marketing, Commodity Price Analysis, Models of Commodity Markets, Quantitative Methods and Commodity Futures Markets. Seller Inventory # AAZ9780415480444

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Book Description Taylor & Francis Ltd, United Kingdom, 2011. Paperback. Condition: New. Language: English. Brand new Book. The price of food has become very volatile in recent years for a variety of reasons, including a strengthened connection between the prices of agricultural commodities and other commodities such as oil and metals, more volatile production due to more frequent droughts and floods, and a rising demand for biofuels. Understanding the determinants of agricultural commodity prices and the connections between prices has become a high priority for academics and applied economists who are interested in agricultural marketing and trade, policy analysis and international rural development.This book builds on the various theories of commodity price relationships in competitive markets over space, time and form. It also builds on the various theories of commodity price relationships in markets that are non-competitive because processing firms exploit market power, private information distorts commodity bidding, and bargaining is required to establish prices when the marketing transaction involves a single seller and buyer. Each chapter features a spreadsheet model to analyze a particular real-world case study or plausible scenario, and issues considered include:the reasons for commodity price differences across regionsthe connection between the release of information and the rapid adjustment in a network of commodity pricesthe specific linkage between energy and food pricesbidding strategies by large exporters who compete in import tenders.The simulation results that are obtained from the spreadsheet models reveal many important features of commodity prices. The models are also well suited for additional "what if" analysis such as examining how the pattern of trade in agricultural commodities may change if shipping becomes more expensive because of substantial increase in the world price of oil. Model building and the analysis of the simulation results is a highly effective way to develop critical thinking skills and to view agricultural commodity prices in a rigorous and unique way. This is an ideal resource for economics students looking to gain develop skills in the areas of Agricultural Marketing, Commodity Price Analysis, Models of Commodity Markets, Quantitative Methods and Commodity Futures Markets. Seller Inventory # AAZ9780415480444

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Book Description Taylor & Francis Ltd, 2011. Condition: New. 2011. Paperback. Examines key economic issues in the field of agricultural marketing and price analysis. This book introduces topics via simple presentation of key theory and applications of the theory through the use of mini-case studies and stylized spreadsheet models. Series: Routledge Textbooks in Environmental and Agricultural Economics. Num Pages: 240 pages, 25 black & white illustrations, 34 black & white tables, 25 black & white line drawings. BIC Classification: KJS; KNAC. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 236 x 156 x 20. Weight in Grams: 374. . . . . . . Seller Inventory # V9780415480444

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