IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-15-3977-0_18.html
   My bibliography  Save this book chapter

Temporal-Spatial Evolution Characteristics of Economic Development of Hangzhou Bay Area and Its Influencing Factors

In: Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Na Liu

    (Zhejiang University)

  • Yuzhe Wu

    (Zhejiang University)

Abstract

This paper builds an index system based on the economic data of the regional units in Hangzhou Bay Area from 1997 to 2016. The entropy method is used to determine the index weights in this paper in order to calculate the comprehensive level of economic development. The standard deviation and coefficient of variation are used for analysis on temporal-spatial evolution of Hangzhou Bay Area. This paper analyzes the temporal and spatial development of the Hangzhou Bay Area from the view of region factors such as external environment, regional characteristics, and regional development policies. This study found that: 1) The comprehensive economic development level of Hangzhou Bay Area shows a rapid growth from 1997 to 2016. The economic index shows that Shanghai has the highest economic development level in Hangzhou Bay Area, and Hangzhou and Ningbo are developing rapidly, which are lower than Shanghai. 2) The absolute difference in the Hangzhou Bay area is expanding on the whole from 1997 to 2016 and the relative difference is decreasing, which shows a good signal. 3) The economic structure of Hangzhou Bay Area presents the pattern of “1 + 2+3 + X”. 4) Location characteristics, external environment, and regional development policies are the main factors, which affect regional economic development. Besides, there are also other factors, included transportation factors, development paths, resource endowments, and government planning, which affect the development of region economy.

Suggested Citation

  • Na Liu & Yuzhe Wu, 2021. "Temporal-Spatial Evolution Characteristics of Economic Development of Hangzhou Bay Area and Its Influencing Factors," Springer Books, in: Fenjie Long & Sheng Zheng & Yuzhe Wu & Gangying Yang & Yan Yang (ed.), Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate, pages 235-250, Springer.
  • Handle: RePEc:spr:sprchp:978-981-15-3977-0_18
    DOI: 10.1007/978-981-15-3977-0_18
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-981-15-3977-0_18. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.