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Productivity growth, efficiency and outsourcing in manufacturing and service industries
Seoul National University, TEPP, College of Engineering, South Korea, and Institute for the Study of Labor (IZA).ORCID iD: 0000-0002-7902-4683
2003 (English)In: Journal of economic surveys (Print), ISSN 0950-0804, E-ISSN 1467-6419, Vol. 17, no 1, 79-112 p.Article in journal (Refereed) Published
Abstract [en]

This paper is a survey of recent contributions to, and developments of, the relationship between outsourcing, efficiency and productivity growth in manufacturing and services. The objective is to provide a thorough and up-to-date survey that provides a significant discussion on data, as well as on the core methods of measuring efficiency and productivity. First, the readers are introduced to the measurement of partial and total factor productivity growth. Different parametric and non-parametric approaches to the productivity measurement in the context of static, dynamic and firm-specific modelling are discussed. Second, we survey the econometric approach to efficiency analysis. The issues of modelling, distributional assumptions and estimation methods are discussed assuming that cross-sectional or panel data are available. Third, the relationship between outsourcing and productivity growth in manufacturing and services is discussed. The correspondence between a number of hypotheses and empirical findings are examined. Examples of varieties of relevant empirical applications, their findings and implications are presented. Fourth, measurement of inputs and outputs in manufacturing and services are discussed. Finally, to promote useful research, a number of factors important to the analysis of outsourcing, efficiency and productivity growth in the service sector are summarised.

Place, publisher, year, edition, pages
2003. Vol. 17, no 1, 79-112 p.
Keyword [en]
industrial performance; manufacturing; outsourcing; service sector; total factor productivity
National Category
Economics
Identifiers
URN: urn:nbn:se:hj:diva-24460Scopus ID: 2-s2.0-0037316231OAI: oai:DiVA.org:hj-24460DiVA: diva2:742843
Available from: 2014-09-02 Created: 2014-09-01 Last updated: 2016-01-14Bibliographically approved

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