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Research on the Improvement Path of Total Factor Productivity in the Industrial Software Industry: Evidence from Chinese Typical Firms

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  • Xiaoxiang Wang

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China
    School of Economics and Management, Wenzhou University of Technology, Wenzhou 325035, China)

  • Songling Wu

    (Business School, Henan University of Science and Technology, Luoyang 471023, China)

  • Lixiang Zhao

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

Abstract

The high-quality development of the industrial software industry is of strategic significance to enhancing the core competitiveness of the manufacturing industry and promoting the high-quality development of China’s industrial economy. By integrating the “capital-technology-environment-human” production factor theory and configuration perspective, this paper constructs a comprehensive analysis framework that drives the total factor productivity (TFP) of the industrial software industry. This paper uses 40 typical industrial software firms in 2018–2020 as case samples and uses fuzzy set Qualitative Comparative Analysis (fsQCA) to empirically explore the influencing factors and complex mechanisms that achieve high-quality development of the industrial software industry. It is found that: (1) a single industrial factor is hardly a necessary condition to drive the industrial software industry; (2) there are four paths to achieving high TFP, which are summarized as “technical-human-environmental” balanced driving type, “capital-human-environmental” balanced driving type, “technical-capital” dual driving type, and “capital” single driving type. There are four driving mechanisms. There are also four not-high TFP configurations with asymmetric characteristics; (3) under certain conditions, the combination of capital factors, technical factors, environmental factors, and human factors can drive TFP in an “all roads lead to Rome”. In this process, the government’s attention plays a more universal role. The study not only expands the application scenarios of fsQCA but also provides decision guidelines for the practice of strategic emerging industrialization represented by the industrial software industry.

Suggested Citation

  • Xiaoxiang Wang & Songling Wu & Lixiang Zhao, 2023. "Research on the Improvement Path of Total Factor Productivity in the Industrial Software Industry: Evidence from Chinese Typical Firms," Mathematics, MDPI, vol. 11(24), pages 1-26, December.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:24:p:4944-:d:1299239
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    References listed on IDEAS

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    1. Xiao-Ling Jin & Zhongyun Zhou & Yiwei Tian, 2022. "A Configurational Analysis of the Causes of Consumer Indirect Misbehaviors in Access-Based Consumption," Journal of Business Ethics, Springer, vol. 175(1), pages 135-166, January.
    2. Xie, Xuemei & Wang, Hongwei, 2020. "How can open innovation ecosystem modes push product innovation forward? An fsQCA analysis," Journal of Business Research, Elsevier, vol. 108(C), pages 29-41.
    3. Alexander Leischnig & Arch G. Woodside, 2019. "Who Approves Fraudulence? Configurational Causes of Consumers’ Unethical Judgments," Journal of Business Ethics, Springer, vol. 158(3), pages 713-726, September.
    4. Berné-Martínez, J.M. & Arnal-Pastor, María & Llopis-Amorós, María-Pilar, 2021. "Reacting to the paradigm shift: QCA study of the factors shaping innovation in publishing, information services, advertising and market research activities in the European Union," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    5. Akhmedova, Anna & Marimon, Frederic & Mas-Machuca, Marta, 2020. "Winning strategies for customer loyalty in the sharing economy: A mixed-methods study," Journal of Business Research, Elsevier, vol. 112(C), pages 33-44.
    6. Ragin, Charles C., 2006. "Set Relations in Social Research: Evaluating Their Consistency and Coverage," Political Analysis, Cambridge University Press, vol. 14(3), pages 291-310, July.
    7. Oyemomi, Oluwafemi & Liu, Shaofeng & Neaga, Irina & Alkhuraiji, Ali, 2016. "How knowledge sharing and business process contribute to organizational performance: Using the fsQCA approach," Journal of Business Research, Elsevier, vol. 69(11), pages 5222-5227.
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