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Analysis of the Spatial Effect of High Technology Industry Agglomeration in Regional Green Innovation Efficiency Improvement

In: Economic Management and Big Data Application Proceedings of the 3rd International Conference

Author

Listed:
  • Tianjiao Zheng
  • Xiao Wang

Abstract

This paper uses the three-stage Malmquist index and spatial Durbin model to analyze the spatial spillover effect and the enhancing aggregation of high-tech industries’ effects affecting regional green innovation efficiency and its characteristic features using 30 Chinese provinces and cities’ panel data from 2010 to 2019. It is discovered that: Overall, each province and city’s high-tech sectors’ green innovation efficiency index is rising gradually, but the overall innovation efficiency is not high. The potential for improvement is large. According to the pattern’s distribution, there is a diminishing trend in both the east and the west. Agglomerations of high-tech industries have a geographical impact on the effectiveness of local green innovation. In particular, high-tech industry clusters can encourage the improvement of the region’s green innovation efficiency and also spur improvements in the bordering regions’ efficient green innovation. It is essential to strengthen the regional innovation system, support the growth of the regional high-tech industry, and ensure the efficient distribution of innovation components. The development environment of the high-tech industry must be further optimized.

Suggested Citation

  • Tianjiao Zheng & Xiao Wang, 2024. "Analysis of the Spatial Effect of High Technology Industry Agglomeration in Regional Green Innovation Efficiency Improvement," World Scientific Book Chapters, in: Sikandar Ali Qalati (ed.), Economic Management and Big Data Application Proceedings of the 3rd International Conference, chapter 90, pages 1006-1013, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789811270277_0090
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    More about this item

    Keywords

    Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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