Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

<Previous Article In Volume
Next Article In Volume>

China Economic Sensitivity to Weather Variability

Authors
Lili Lyu1, Fang Xiao1, Chunxiang Leng1, *, Yixi Fan1, Dan Yu1, Ping Li1
1CMA Key Open Laboratory of Transforming Climate Resources to Economy, Institute for Development and Program Design, China Meteorological Administration, Beijing, 100081, China
*Corresponding author. Email: cx_leng@163.com
Corresponding Author
Chunxiang Leng
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_3How to use a DOI?
Keywords
Economic Sectors; Sensitivity; Weather Variables; Cobb-Douglas production function
Abstract

Given the increasing global impacts of climate change ,*and weather extremes on economies, understanding the sensitivity of economic output to weather variables has become crucial. This study investigates the influence of weather variables on the economic output of China across different sectors, provinces, and the whole nation, employing a modified Cobb-Douglas production function. The results reveal significant weather sensitivity across regions and sectors, ranging between 4.9%-12.8% for sectors, and 6.2%-27.7% for provinces. The highest sensitivity was observed in the Agriculture, Forestry, Animal Husbandry and Fishery (AFAHF) sector due to its direct dependence on weather patterns. Among provinces, Qinghai showed the highest sensitivity. The overall sensitivity of the Chinese economy to weather variables is approximately 5.87%, and the Chinese economy sensitivity to weather variables in 2022 is estimated at 7.1 trillion RMB. These findings stress the need for considering weather variability in economic planning and the importance of enhancing adaptation and resilience in highly sensitive sectors and regions.

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 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_3
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_3How 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  - Lili Lyu
AU  - Fang Xiao
AU  - Chunxiang Leng
AU  - Yixi Fan
AU  - Dan Yu
AU  - Ping Li
PY  - 2023
DA  - 2023/12/04
TI  - China Economic Sensitivity to Weather Variability
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 13
EP  - 28
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_3
DO  - 10.2991/978-94-6463-304-7_3
ID  - Lyu2023
ER  -