Sources of regional inefficiency
An integrated shift-share, data envelopment analysis and input-output approachAn integrated shift-share, data envelopment analysis and input-output approach
被引:0
作者:
Mustafa Dinc
论文数: 0引用数: 0
h-index: 0
机构:The Institute of Public Policy,
Mustafa Dinc
论文数: 引用数:
h-index:
机构:
Kingsley E. Haynes
机构:
[1] The Institute of Public Policy,
[2] George Mason University,undefined
[3] Fairfax,undefined
[4] VA 22030-4444,undefined
[5] USA (e-mail: khaynes@gmu.edu),undefined
来源:
The Annals of Regional Science
|
1999年
/
33卷
关键词:
Data Envelopment Analysis;
Industrial Sector;
Industry Sector;
Productivity Change;
Regional Industry;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
This paper develops and tests an integrated set of models to investigate sources of (in)efficiencies in regional industry sectors. First, following the Haynes and Dinc (1997) extension of the shift-share model, leading regional industrial sectors are identified for analysis based on their scale, productivity and sources of productivity change. Second, by employing Data Envelopment Analysis (DEA), the efficiency of these lead sectors is investigated and the future competitiveness of these sectors is evaluated. Finally, by incorporating input-output analysis into the model the impact of intersectoral transactions on sectoral efficiency is assessed.