 Efficiency evaluation of the regional high-tech industry in China: A new framework based on meta-frontier dynamic DEA analysisLan-bing Li, Bing-lian Liu, Wei-lin Liu and Yung-Ho Chiu Socio-Economic Planning Sciences, 2017, vol. 60, issue C, 24-33 Abstract: This paper proposes a new framework based on the combination of the dynamic DEA, meta-frontier analysis theory, and truncated regression model, and then focuses on the efficiency evaluation of regional high-tech industries in China. For all of the overall technical efficiency, technical efficiency, and scale efficiency scores, the east area is always in the lead, with the central and west areas obviously lagging behind. The eastern area has the highest technology level, whereas the west and central areas fall behind in turn. However, the meta-technology ratio of the west area has rapidly increased and presents a trend of catching up with the east. The variables of GRP per capital, total exports and imports, highway mileage per capita, and ratio of tertiary industry to GRP have positive relationships with technical efficiency, and the time trend exhibits a negative coefficient. Keywords: Meta-frontier dynamic DEA; Meta-technology ratio; Total-factor input efficiency; External influential factor (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:60:y:2017:i:c:p:24-33 DOI: 10.1016/j.seps.2017.02.001 Access Statistics for this article Socio-Economic Planning Sciences is currently edited by Barnett R. Parker More articles in Socio-Economic Planning Sciences from Elsevier |
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