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Author: Benjamin P. Klotz
Publisher:
Published: 1970
Total Pages: 108
ISBN-13:
DOWNLOAD EBOOK →Econometrics analysis of production functions in 1729 plants of the manufacturing industry in the USA - describes the mathematical models used and covers capital-labour force substitution, cost estimates, etc. Bibliography pp. 96 and 97, diagrams and statistical tables.
Author: United States. Bureau of Labor Statistics
Publisher:
Published: 1970
Total Pages: 75
ISBN-13:
DOWNLOAD EBOOK →Author: Etats-Unis. Bureau of labor statistics
Publisher:
Published: 1970
Total Pages: 23
ISBN-13:
DOWNLOAD EBOOK →Author: Ali Dogramaci
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 200
ISBN-13: 9400981236
DOWNLOAD EBOOK →1 Ali Dogramaci and Nabil R. Adam 1.1. OVERVIEW With the decline of U.S. productivity growth, interest has surged to under stand the behavior of productivity measures through time, the conceptual foundations of productivity analysis, and the linkage between productivity performance and other major forces in the economy. The purpose of this volume is to present a brief overview of some of the concepts used in aggre gate and industry-level productivity analyses and the results of some of the recent research in this field. The book is divided into three parts. Part I covers some of the methodo logical approaches used in aggregate and industry-level productivity studies. Part II deals with the movement of labor productivity measures through time. The papers in this part of the book study productivity changes as uni variate time series and analyze some of the characteristics of the patterns displayed. The papers in Part III address the issues of measurement of capi tal, the relation of capital formation to productivity growth, and the rela tion of imported intermediate inputs to U.S. productivity performance.
Author: Fabio Sartori Piran
Publisher: CRC Press
Published: 2020-01-08
Total Pages: 231
ISBN-13: 1000766195
DOWNLOAD EBOOK →In companies that produce goods and services, productivity and efficiency improvements are a constant challenge. This book reviews the differences between productivity and efficiency. It proposes a new method and makes available a computational tool for implementation that contributes to facilitating the use of Data Envelopment Analysis (DEA). The book presents a discussion about productivity and efficiency, illustrating the potentials of use and conceptual differences. It covers the concepts and techniques for analysis of productivity and efficiency, analyzing critical benefits and limitations, explains in detail how to use DEA for analysis, provides innovative methods for using DEA, offers a free online computer tool with a direction guide, shows real empirical applications, and covers other techniques that can be used to complement the analysis performed. The book is for professionals, managers, consultants, students working and taking courses in productive systems of goods and services. Ancillary materials include a free online computer tool to operationalize the concepts and methods proposed in the book, a guide on how to use the method and the software developed for the DEA application. Solutions manual, instructor’s manual, PowerPoint slides, and figure slides also will be available upon qualified adoption.
Author: Charles R. Hulten
Publisher: University of Chicago Press
Published: 2007-11-01
Total Pages: 648
ISBN-13: 0226360644
DOWNLOAD EBOOK →The productivity slowdown of the 1970s and 1980s and the resumption of productivity growth in the 1990s have provoked controversy among policymakers and researchers. Economists have been forced to reexamine fundamental questions of measurement technique. Some researchers argue that econometric approaches to productivity measurement usefully address shortcomings of the dominant index number techniques while others maintain that current productivity statistics underreport damage to the environment. In this book, the contributors propose innovative approaches to these issues. The result is a state-of-the-art exposition of contemporary productivity analysis. Charles R. Hulten is professor of economics at the University of Maryland. He has been a senior research associate at the Urban Institute and is chair of the Conference on Research in Income and Wealth of the National Bureau of Economic Research. Michael Harper is chief of the Division of Productivity Research at the Bureau of Labor Statistics. Edwin R. Dean, formerly associate commissioner for Productivity and Technology at the Bureau of Labor Statistics, is adjunct professor of economics at The George Washington University.
Author: Vinish Kathuria
Publisher: Routledge
Published: 2014-09-25
Total Pages: 302
ISBN-13: 1317559789
DOWNLOAD EBOOK →This volume comprehensively captures trends in productivity and its determinants in the post-reform period for Indian manufacturing. It provides an up-to-date survey of different methods employed in measuring productivity and their applications across organized and unorganized sectors, including food, beverages, furniture, gems, chemicals, petroleum and rubber, metals and minerals, paper products, publishing, textiles, etc. The essays examine the uneven impact of economic reforms and growth on the performance of the manufacturing sector. This will be especially useful to students and scholars of economics, business and management, policymakers and governmental agencies, particularly those interested in Indian economy and manufacturing.
Author: John L. Burbidge
Publisher: Oxford University Press, USA
Published: 1989
Total Pages: 202
ISBN-13:
DOWNLOAD EBOOK →Here is an in-depth account of one of the most important strategic tools available to manufacturing analysts. The author, a nationally known expert in the field, provides much needed guidance on production flow analysis, a new technique that will help save time and money by minimizing set-up times and reducing the size of buffering stocks of components. The volume demonstrates the use of route cards to achieve a total division of made components into families and a parallel division of existing machines into groups using previously established processing methods.
