Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)

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Research on the Spatial Distribution of China’s Foreign Direct Investment Based on the Geographic Detector Model

Authors
Jiaxiang Han1, *
1Institute of Political Science and Law, Zhengzhou University of Light Industry, Zhengzhou, 450001, China
*Corresponding author. Email: shjx1022@163.com
Corresponding Author
Jiaxiang Han
Available Online 2 December 2022.
DOI
10.2991/978-94-6463-010-7_28How to use a DOI?
Keywords
Foreign Direct Investment; Spatial Distribution; Geographic Detector Model; China
Abstract

Foreign direct investment enterprises have become an important part of China’s economy, and it is an important medium for China to participate in world economic activities. This article uses the Getis-Ord General G index, Getis-Ord Gi* index and geographic detector model to analyze the evolution of the spatiotemporal pattern of China’s foreign direct investment. The research shows that the regional difference of foreign direct investment in China is more obvious, the eastern coastal region is much higher than the central and western inland. The spatial agglomeration of foreign direct investment in China is gradually increasing, basically forming two hot spots, namely the Yangtze river delta hot spot with Shanghai, Nanjing and Hangzhou as the center and the pearl river delta hot spot with Guangzhou and Shenzhen as the center. For factor detection, international trade is the most important factor affecting foreign direct investment in 2015. Inbound tourism is the most important factor affecting foreign direct investment in 1990, 1995, 2005 and 2010. Technological innovation is the most important factor affecting foreign direct investment in 2000. The results of the interaction detection show a nonlinear enhanced interaction relationship.

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.

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Volume Title
Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 December 2022
ISBN
10.2991/978-94-6463-010-7_28
ISSN
2589-4919
DOI
10.2991/978-94-6463-010-7_28How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Jiaxiang Han
PY  - 2022
DA  - 2022/12/02
TI  - Research on the Spatial Distribution of China’s Foreign Direct Investment Based on the Geographic Detector Model
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 265
EP  - 278
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_28
DO  - 10.2991/978-94-6463-010-7_28
ID  - Han2022
ER  -