China Economic Sensitivity to Weather Variability
- 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.
Cite this article
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 -