Efficiency change, technological change and capital accumulation in Italian regions: a sectoral study
Simone Gitto
International Review of Applied Economics, 2017, vol. 31, issue 2, 191-207
Abstract:
This paper examines the sources of labour productivity in the Italian regions during the period 1980–2004. Five economic sectors are investigated using data envelopment analysis (DEA) and taking into account productive specialisation and sector inefficiencies. Labour productivity change is decomposed into five components by means of Malmquist productivity indices: intra-sector efficiency change, composition efficiency change, input-biased technical change, magnitude component technical change and capital accumulation. Using bootstrap procedure, the components of labour productivity changes are statistically tested. Efficiency analysis shows that productive specialisation is not a source of inefficiency and efficiency gains can be obtained by sector-specific policies. Thus, it is possible to obtain improvements in efficiency in each sector of activity rather than reallocating resources among sectors. The results of the decomposition by sectors reveal heterogeneous sources of growth. The total economy has shown evidence of non-neutral technical change and, it has been found that agriculture, industry and construction experienced capital using technical change. The analysis of the decomposition of the labour productivity growth is complemented by an analysis of β-convergence.
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1080/02692171.2016.1240152 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:irapec:v:31:y:2017:i:2:p:191-207
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CIRA20
DOI: 10.1080/02692171.2016.1240152
Access Statistics for this article
International Review of Applied Economics is currently edited by Professor Malcolm Sawyer
More articles in International Review of Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().