This book presents a mathematical programming approach to the analysis of production frontiers and efficiency measurement. Using linear programming techniques, the authors construct a variety of production frontiers, and develop a model of efficient producer behavior and a taxonomy of possible types of departure from efficiency in various environments. This book provides a unique study in applied production analysis, and will be of interest to scholars and students of economics and operations research, and analysts in business and government.
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"The book as a whole is cleanly executed and well written....I highly recommend the book as the basic reference on the mathematical-programming approach to the analysis of production frontiers." Journal of Economic Literature
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Paperback. Condition: new. Paperback. This book presents a mathematical programming approach to the analysis of production frontiers and efficiency measurement. The authors construct a variety of production frontiers, and by measuring distances to them are able to develop a model of efficient producer behaviour and a taxonomy of possible types of departure from efficiency in various environments. Linear programming is used as an analytical and computational technique in order to accomplish this. The approach developed is then applied to modelling producer behaviour. By focusing on the empirical relevance of production frontiers and distances to them, and applying linear programming techniques to artificial data to illustrate the type of information they can generate, this book provides a unique study in applied production analysis. It will be of interest to scholars and students of economics and operations research, and analysts in business and government. This book develops models of efficient producer behaviour, and introduces ways of measuring various types of inefficient behaviour. Using mathematical programming techniques, the authors present a unique study in applied production analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521072069
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