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Analysis of the spatial influences on innovation efficiency of enterprises with different ownership in China: high‐tech industry as an example

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  • Suyuan Shao
  • Xiao Chen
  • Xijian Hu

Abstract

Enterprises have different behavioral characteristics depending on their ownership structure and their nature and play different roles in promoting economic development. In order to explore the innovation behavior characteristics of private enterprises, state‐owned enterprises, Hong Kong‐, Macao‐, and Taiwan‐funded enterprises, and foreign‐funded enterprises in China's high‐tech industry, this paper constructs spatial lag models and varying coefficient spatial lag models within the framework of knowledge production functions. It not only evaluates the technological innovation performance of various types of enterprises in high‐tech industries but also comprehensively explores the differences in the impact of external environments such as spatial dependence and business environment on the innovation efficiency of various types of enterprises. The results of the study provide a reference for enterprise managers and investors to efficiently allocate the scarce resources for innovation investment.

Suggested Citation

  • Suyuan Shao & Xiao Chen & Xijian Hu, 2024. "Analysis of the spatial influences on innovation efficiency of enterprises with different ownership in China: high‐tech industry as an example," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(4), pages 2473-2483, June.
    • Handle: RePEc:wly:mgtdec:v:45:y:2024:i:4:p:2473-2483
    DOI: 10.1002/mde.4133
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    References listed on IDEAS

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    1. Cowan, Robin & Zinovyeva, Natalia, 2013. "University effects on regional innovation," Research Policy, Elsevier, vol. 42(3), pages 788-800.
    2. James P. Lesage, 2008. "An Introduction to Spatial Econometrics," Revue d'économie industrielle, De Boeck Université, vol. 0(3), pages 19-44.
    3. Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
    4. Furman, Jeffrey L. & Porter, Michael E. & Stern, Scott, 2002. "The determinants of national innovative capacity," Research Policy, Elsevier, vol. 31(6), pages 899-933, August.
    5. Isabel Proença & Ludgero Glórias, 2021. "Revisiting the Spatial Autoregressive Exponential Model for Counts and Other Nonnegative Variables, with Application to the Knowledge Production Function," Sustainability, MDPI, vol. 13(5), pages 1-22, March.
    6. Virgilio Gómez-Rubio & Roger S. Bivand & Håvard Rue, 2020. "Bayesian Model Averaging with the Integrated Nested Laplace Approximation," Econometrics, MDPI, vol. 8(2), pages 1-15, June.
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