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World Scientific Publishing Company Surveys Of International Trade
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Description
Product Description This volume incorporates important surveys from a historical perspective. The masterly survey of Bhagwati provides great intuition about trade theoretical results and Chipman's three surveys present the mathematics of trade theory. These are very deep surveys from a mathematical point of view and show, for example, the Ricardian model as an application of Quasi-Concave programming and also the magnificent use of Sperner's Lemma for the odd and even intersections that occur in some problems in trade theory. There are also other surveys bringing the literature up to date and covering specific topics in trade theory. About the Author Yin-Wong Cheung is the Hung Hing Ying Chair Professor of International Economics at the City University of Hong Kong, and Professor Emeritus of the University of California, Santa Cruz. He obtained his Bachelor, Masters, and PhD Degrees, respectively, from the University of Hong Kong, the University of Essex, and the University of Pennsylvania. Cheung has published over 100 refereed articles in more than 40 academic journals, and co-authored and co-edited over 10 books. He is included in The America's Registry of Outstanding Professionals, the Academic Keys Who's Who in Social Sciences Higher Education, Who's Who in Economics, Who's Who in America, and Who's Who in the World.Bharat Hazari is currently Adjunct Professor at the City University of Hong Kong. He obtained his PhD degree in Economics from Harvard University. He has taught at many Universities, notably, University of British Columbia, University of Venice, Indian Statistical Institute and City University of Hong Kong. He has also delivered seminars at the University of Geneva, Sorbonne in Paris, University of Lille and Indian Statistical Institute. Bharat Hazari has published extensively in many areas of economics. He is the author of over ten books and more than hundred papers.
Product Specifications
- Format
- hardcover
- ASIN
- 9813238593
- Domain
- Amazon UK
- Release Date
- 13 June 2019
- Listed Since
- 13 March 2018
Barcode
No barcode data available
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