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作者:

Zhao, Lixiang (Zhao, Lixiang.) (学者:赵立祥) | Wang, Xiaoxiang (Wang, Xiaoxiang.) | Wu, Songling (Wu, Songling.)

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摘要:

To reasonably guide and promote the high-quality development of China's software industry through policies, and to improve the total factor productivity (TFP) of China's software industry are the inevitable requirements of the conjunctive development. Previous research mainly used econometric methods to explore the impact of specific variables or factors in different regions on the TFP of the software industry. Here we provide a solution for the path selection to improve the TFP of the software industry. The DEA-Malmquist index analysis method to measure the TFP of the software industry and the fuzzy set qualitative comparative analysis method (fsQCA) are adopted to explore the different promotion paths of provinces based on the relevant data of 29 provinces in China. The results show that 5 path configurations achieve high TFP. Specifically, regions with high TFP in the software industry tend to be those with high enterprise scale, high R&D investment, and high R&D personnel investment. When the scale of enterprises is high, the region should fully consider the degree of R&D investment and the degree of higher education. When the investment of R&D personnel is high, the high education level of human factors and the investment intensity of fixed assets of capital factors should be brought into full play. When the investment in fixed assets and R&D investment are high, the region should fully consider the investment of R&D personnel and the scale of the enterprise.

关键词:

Software measurement fuzzy set qualitative comparative analysis Business total factor productivity Software Productivity DEA-Malmquist index analysis method Software industry Industries Investment promotion path Research and development

作者机构:

  • [ 1 ] [Zhao, Lixiang]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Wang, Xiaoxiang]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Wu, Songling]Henan Univ Sci & Technol, Schl Econ, Beijing 471023, Henan, Peoples R China

通讯作者信息:

  • [Wang, Xiaoxiang]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China

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来源 :

IEEE ACCESS

ISSN: 2169-3536

年份: 2021

卷: 9

页码: 96039-96055

3 . 9 0 0

JCR@2022

JCR分区:2

被引次数:

WoS核心集被引频次: 4

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

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