Analysis on the Spatial-Temporal Evolution of Zhaotong’s Industrial Structures Under the Background of Rural Revitalization
- DOI
- 10.2991/978-94-6463-198-2_79How to use a DOI?
- Keywords
- rural revitalization; industrial structures; shift-share analysis; spatial-temporal evolution
- Abstract
In the context of rural revitalization, the application of big data can accurately provide data support for industrial revitalization and agricultural development. Based on the statistical data of Zhaotong City from 2006 to 2020, this paper adopts shift-share analysis, industrial structures conversion speed/direction coefficient and relevant methods and technologies of GIS, the temporal and spatial evolution of the industrial structures in Zhaotong City since 2006 are qualitatively and quantitatively analyzed, and the diversification and evolution of the industrial structures in Zhaotong City are explored, in order to provide references for adjusting the internal structure of the three industries in Zhaotong City and promoting rural revitalization.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Huaying Qu AU - Rong Xu AU - Jinxiang Shen AU - Chuanqing Deng PY - 2023 DA - 2023/08/10 TI - Analysis on the Spatial-Temporal Evolution of Zhaotong’s Industrial Structures Under the Background of Rural Revitalization BT - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023) PB - Atlantis Press SP - 760 EP - 769 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-198-2_79 DO - 10.2991/978-94-6463-198-2_79 ID - Qu2023 ER -