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Productivityconcepts, measurement, a...

Balk, Bert M.

Productivityconcepts, measurement, aggregation, and decomposition /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Productivityby Bert M. Balk.
其他題名:	concepts, measurement, aggregation, and decomposition /
作者:	Balk, Bert M.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xvii, 328 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Production (Economic theory)
電子資源:	https://link.springer.com/openurl.asp?genre=book&isbn=978-3-030-75448-8
ISBN:	9783030754488$q(electronic bk.)

Productivityconcepts, measurement, aggregation, and decomposition /
Balk, Bert M.

Productivityconcepts, measurement, aggregation, and decomposition /[electronic resource] :by Bert M. Balk. - Cham :Springer International Publishing :2021. - xvii, 328 p. :ill., digital ;24 cm. - Contributions to economics,1431-1933. - Contributions to economics..

Chapter 1: Introduction -- Chapter 2: A Framework without Assumptions -- Chapter 3: Capital Input Cost -- Chapter 4: Annual and Quarterly Measures -- Chapter 5: Dynamics: The Bottom-Up Approach -- Chapter 6: The Top-Down Approach 1 - Aggregate Output and Simple Labour Productivity Indices -- Chapter 7: The Top-Down Approach 2 - Aggregate Total Factor Productivity Index -- Chapter 8: The Top-Down Approach 3 - Aggregate Total Factor Productivity Level -- Chapter 9: Connecting the Two Approaches -- Chapter 10: The Components of Total Factor Productivity Change -- Bibliography -- Index.

This book develops the theory of productivity measurement using the empirical index number approach. The theory uses multiplicative indices and additive indicators as measurement tools, instead of relying on the usual neo-classical assumptions, such as the existence of a production function characterized by constant returns to scale, optimizing behavior of the economic agents, and perfect foresight. The theory can be applied to all the common levels of aggregation (micro, meso, and macro), and half of the book is devoted to accounting for the links existing between the various levels. Basic insights from National Accounts are thereby used. The final chapter is devoted to the decomposition of productivity change into the contributions of efficiency change, technological change, scale effects, and input or output mix effects. Applications on real-life data demonstrate the empirical feasibility of the theory. The book is directed to a variety of overlapping audiences: statisticians involved in measuring productivity change; economists interested in growth accounting; researchers relating macro-economic productivity change to its industrial sources; enterprise micro-data researchers; and business analysts interested in performance measurement.

ISBN: 9783030754488$q(electronic bk.)

Standard No.: 10.1007/978-3-030-75448-8doiSubjects--Topical Terms:

180068
Production (Economic theory)

LC Class. No.: HB241

Dewey Class. No.: 338

Productivityconcepts, measurement, aggregation, and decomposition /
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520 $a This book develops the theory of productivity measurement using the empirical index number approach. The theory uses multiplicative indices and additive indicators as measurement tools, instead of relying on the usual neo-classical assumptions, such as the existence of a production function characterized by constant returns to scale, optimizing behavior of the economic agents, and perfect foresight. The theory can be applied to all the common levels of aggregation (micro, meso, and macro), and half of the book is devoted to accounting for the links existing between the various levels. Basic insights from National Accounts are thereby used. The final chapter is devoted to the decomposition of productivity change into the contributions of efficiency change, technological change, scale effects, and input or output mix effects. Applications on real-life data demonstrate the empirical feasibility of the theory. The book is directed to a variety of overlapping audiences: statisticians involved in measuring productivity change; economists interested in growth accounting; researchers relating macro-economic productivity change to its industrial sources; enterprise micro-data researchers; and business analysts interested in performance measurement.
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