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Regional Differences and Convergence Analysis of Green Innovation Efficiency in the Urban Agglomeration of Beibu Gulf

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

Author

Listed:
  • Mengyuan Wei
  • Jianhua Gu

Abstract

The Urban Agglomeration of Beibu Gulf was established in 2017 with the strategic positioning of facing ASEAN, serving the “Southwest, Central-south, and South of China”, and being livable and business-friendly. Green innovation is the key to promoting high-quality urban development. It is of great significance to analyze and compare the spatial characteristics of green innovation efficiency and its development differences in the Urban Agglomeration of Beibu Gulf for promoting higher quality development in the Beibu Gulf region. This paper measures the dynamic changes of green innovation efficiency and in the Urban Agglomeration of Beibu Gulf based on the super-efficient SBM-GML model, and uses a variety of convergence methods to examine their convergence characteristics. The research results show that (1) green innovation efficiency displays remarkable regional differences, and the overall trend is fluctuating and declining; (2) green innovation efficiency has prominent convergence characteristics in the Urban Agglomeration of Beibu Gulf, which has passed the tests of σ convergence and β convergence.

Suggested Citation

  • Mengyuan Wei & Jianhua Gu, 2024. "Regional Differences and Convergence Analysis of Green Innovation Efficiency in the Urban Agglomeration of Beibu Gulf," World Scientific Book Chapters, in: Sikandar Ali Qalati (ed.), Economic Management and Big Data Application Proceedings of the 3rd International Conference, chapter 105, pages 1158-1168, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789811270277_0105
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    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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