IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789811270277_0052.html
   My bibliography  Save this book chapter

Analysis of Influencing Factors of Urban Green Total Factor Productivity Based on Big Data and Fixed-Effect Panel Regression Method

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

Author

Listed:
  • Xin Liu

Abstract

This paper selects 11 indicators such as expected output and unexpected output of prefecture-level cities in China, with a total of 100280 data as samples. Based on the SBM model and GML index, the GTFP of prefecture-level cities in China is measured. MaxDEA 7 Ultra and Stata software were used to study the effect and internal mechanism of manufacturing market power on urban GTFP based on the double-fixed effect panel regression model. The results of the study found that: (1) After 2015, China’s urban GTFP showed a continuous growth trend. Taking 2015 as the cut-off point, the growth source of urban GTFP has gradually changed from technical efficiency to a technological progress rate. (2) The greater the contribution of the manufacturing sector to the local economy and the performance assessment of officials, the more likely it is to be exempted from strict environmental regulations, which will further inhibit the improvement of urban GTFP.

Suggested Citation

  • Xin Liu, 2024. "Analysis of Influencing Factors of Urban Green Total Factor Productivity Based on Big Data and Fixed-Effect Panel Regression Method," World Scientific Book Chapters, in: Sikandar Ali Qalati (ed.), Economic Management and Big Data Application Proceedings of the 3rd International Conference, chapter 52, pages 596-604, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811270277_0052
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789811270277_0052
    Download Restriction: Ebook Access is available upon purchase.

    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789811270277_0052
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:wschap:9789811270277_0052. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.