Metafrontier slack-based nonparametric technologies with convex and nonconvex measurement of directional distance functions: empirical exploration of high-tech industries

被引：0
作者：
Wang, Zhi-Wei [1 ]
Chen, Xiao-Qing [1 ]
Gong, Zai-Wu [1 ]
机构：
[1] Nanjing Univ Informat Sci & Technol, Res Inst Risk Governance & Emergency Decis Making, Collaborat Innovat Ctr Forecast & Evaluat Meteorol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China
来源：
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT | 2024年
基金：
中国国家自然科学基金;
关键词：
Metafrontier slack-based method; Nonparametric technologies; Directional distance functions; High-tech industries; EFFICIENCIES; FRONTIER; SCALE;
D O I：
10.1080/09537325.2024.2392621
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
High-tech industries make an essential contribution to improving innovation ability and promoting industrial structure optimisation. It is essential to examine the development level and regional differences within China's high-tech industry to enhance the quality of economic development. This paper develops a metafrontier slack-based nonparametric method of the directional distance function to perform an efficiency analysis. Distinguishing the development differences of regional high-tech industries and identifying the main causes of inefficiency sources. We are the first to combine convex and nonconvex technologies to calculate group and meta frontier efficiencies, and the technical gap ratio for the high-tech industries. Empirical results indicate that the nonconvex method can provide more reasonable explanations for green innovation efficiency.
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页数：17
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