Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

<Previous Article In Volume
Next Article In Volume>

Study on the Spatial Agglomeration of China's Agricultural Product Processing Industry: Measurement and Regression Analysis

Authors
Heng Shi1, *
1Beijing Jiaotong University, School of economics and management, Haidian, Beijing, China
*Corresponding author. Email: 20120536@bjtu.edu.cn
Corresponding Author
Heng Shi
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_148How to use a DOI?
Keywords
spatial agglomeration; location entropy; spatial measurement model
Abstract

The large-scale and regional characteristics of the agricultural product processing industry are becoming more and more obvious, so the research on the spatial agglomeration and influencing factors of the industry has important significance. This paper uses Wind database, "China Statistical Yearbook" and other data, firstly uses industrial concentration and location entropy to measure the agglomeration level of China's agricultural product processing industry in 2016. And then based on theoretical foundations, this paper selects relevant influencing factors to establish econometric models for empirical research. Through regression analysis using Stata software, it is finally found that: there are many significant spatial agglomeration phenomena in China's agricultural product processing industry, and it is formed by a variety of factors, among which natural endowment, scale economy, foreign direct investment and local government intervention play a significant positive role in promoting the spatial agglomeration of China's agricultural product processing industry.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
978-94-6463-042-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_148How 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  - Heng Shi
PY  - 2022
DA  - 2022/12/29
TI  - Study on the Spatial Agglomeration of China's Agricultural Product Processing Industry: Measurement and Regression Analysis
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 1038
EP  - 1044
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_148
DO  - 10.2991/978-94-6463-042-8_148
ID  - Shi2022
ER  -