期刊
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT
卷 34, 期 12, 页码 1432-1448出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/09537325.2021.1963427
关键词
Green technology innovation; network EBM model; meta-frontier Malmquist-Luenberger index; data envelopment analysis
资金
- Erasmus+ Programme of the European Union: Joint Enterprise University Learning/JEUL [585820-EPP-1-2017-1-IT-EPPKA2-CBHE-JP]
- National Natural Science Foundation of China [71871106, 71971124]
- Fundamental Research Funds for the Central Universities [JUSRP1809ZD, 2019JDZD06, JUSRP321016]
- Major Projects of Educational Science Fund of Jiangsu Province in 13th Five-Year Plan [A/2016/01]
- Key Project of Philosophy and Social Science Research in Universities of Jiangsu Province [2018SJZDI051]
- Teaching Reform Project of Jiangnan University [JG2019039, YJSJG2020007]
- Jiangsu University Humanities and Social Sciences Out-of-school Research Base Project 'Tonghu Industrial Cooperative Development Research Base' [2020THKFZD01]
- Liberal Arts Development Fund of Nankai University [ZB21BZ0106]
- One Hundred Talents Programme of Nankai University [63213023]
- Postgraduate Research & Practice Innovation Programme of Jiangsu Province [KYCX20_1967]
- Southern Jiangsu Capital Market Research Center [2017ZSJD020]
This study evaluates the performance of regional green technology innovation in China through the analysis of GTI activities. It highlights the fluctuation of overall GTI efficiency between GTR and TAT stages, emphasizing the crucial role of technological progress in improving GTI performance.
An effective innovation is a significant cause of competitive advantage. The evaluation of regional green technology innovation (GTI) performance in China has gained tremendous interest. In this paper, the GTI activities are split into two components: the green technology R&D (GTR) stage and the technology achievement transformation (TAT) stage. While doing so, we consider the time lag of the GTI process and managerial disposability of the undesirable output. The combination of the network epsilon-based measure (EBM) model and meta-frontier Malmquist-Luenberger (MML) index constitutes a comprehensive analytical framework for evaluating the regional GTI performance in China. This study's empirical results indicate that: (1) China's overall average efficiency of GTI (0.817) is between the efficiency of GTR (0.725) and the efficiency of TAT (0.929); (2) the average efficiencies in the GTR stage fluctuate considerably, with average efficiencies relatively high and constant in the TAT stage; (3) technological progress is the key element which contributes to improvements in the MML index of overall and sub-process GTI; and (4) from a national perspective, the MML index of the overall GTI varies from 0.980 to 1.128 each year, with an average annual growth of 2.8%.
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