Springer Advances in Efficiency and Productivity II: 287 (International Series in Operations Research & Management Science, 287)

This book surveys the state-of-the-art in efficiency and productivity analysis, examining advances in the analytical foundations and empirical applications. The analytical techniques developed in this book for efficiency provide alternative ways of defining optimum outcome sets, typically as a (technical) production frontier or as an (economic) cost, revenue or profit frontier, and alternative ways of measuring efficiency relative to an appropriate frontier. Simultaneously, the analytical techniques developed for efficiency analysis extend directly to productivity analysis, thereby providing alternative methods for estimating productivity levels, and productivity change through time or productivity variation across producers. This book includes chapters using data envelopment analysis (DEA) or stochastic frontier analysis (SFA) as quantitative techniques capable of measuring efficiency and productivity. Across the book’s 15 chapters, it broadly extends into popular application areas including agriculture, banking and finance, and municipal performance, and relatively new application areas including corporate social responsibility, the value of intangible assets, land consolidation, and the measurement of economic well-being. The chapters also cover topics such as permutation tests for production frontier shifts, new indices of total factor productivity, and also randomized controlled trials and production frontiers. From the Back Cover This book surveys the state-of-the-art in efficiency and productivity analysis, examining advances in the analytical foundations and empirical applications. The analytical techniques developed in this book for efficiency provide alternative ways of defining optimum outcome sets, typically as a (technical) production frontier or as an (economic) cost, revenue or profit frontier, and alternative ways of measuring efficiency relative to an appropriate frontier. Simultaneously, the analytical techniques developed for efficiency analysis extend directly to productivity analysis, thereby providing alternative methods for estimating productivity levels, and productivity change through time or productivity variation across producers. This book includes chapters using data envelopment analysis (DEA) or stochastic frontier analysis (SFA) as quantitative techniques capable of measuring efficiency and productivity. Across the book’s 15 chapters, it broadly extends into popular application areas including agriculture, banking and finance, and municipal performance, and relatively new application areas including corporate social responsibility, the value of intangible assets, land consolidation, and the measurement of economic well-being. The chapters also cover topics such as permutation tests for production frontier shifts, new indices of total factor productivity, and also randomized controlled trials and production frontiers. About the Author Juan Aparicio is an Associate Professor at the Center of Operations Research of the University Miguel Hernandez, Elche (Alicante), Spain. He is the director of the Center of Operations Research. He earned his Ph.D. in Statistics in 2007 at the UMH. He is Co-Chair (with Knox Lovell) of the Santander Chair on Efficiency and Productivity. His research interests mainly include Efficiency and Productivity Analysis.  C. A. Knox Lovell is Honorary Professor with the Centre for Efficiency and Productivity Analysis in the School of Economics at the University of Queensland. He served as editor-in-chief of the Journal of Productivity Analysis for a decade. He has authored several books, including Production Frontiers (with Färe and Grosskopf) and Stochastic Frontier Analysis (with Kumbhakhar) for Cambridge University Press.  Jesus T. Pastor is a Professor in the Department of Statistics, Mathematics and Informatics at the Center of Operations Research of University Miguel Hernandez, Elche (Alicante), Spain. H