Examining the relationship between meteorological disaster economic impact and regional economic development in China

中国 经济影响分析 农业 库兹涅茨曲线 地理 自然资源经济学 经济增长 经济 考古 微观经济学
作者
Chengfang Huang,Ning Li,Fenggui Liu,Yuan Liu
出处
期刊:International journal of disaster risk reduction [Elsevier]
卷期号:100: 104133-104133
标识
DOI:10.1016/j.ijdrr.2023.104133
摘要

Economic impact of disaster is closely related to regional economic development, and the relationship between the two has been summarized as Kuznets or inverted-U curve. In this curve, direct and indirect economic loss (DEL, IEL) are the two key indicators to quantify the economic impact of disasters. However, due to the lack of input-output analysis, existing studies often ignore the importance of IEL. Therefore, based on the regional DEL of meteorological disasters in China from 2003 to 2019, this study quantitatively assesses the IEL due to the ripple effects of inter-regional industrial linkages by constructing the multi-regional input-output (MRIO) model. Study found that: (1) Economic impact of disasters is more severe in less developed inland areas and half as severe in more developed coastal areas. (2) Agriculture in less developed inland areas is more vulnerable and its DEL is higher than IEL, i.e., agricultural IEL in northwest is 41.6 % of DEL; while the secondary industry in more developed coastal areas has a more severe IEL. (3) Economic impact of disasters and economic development in China conform to the inverted-U curve, and has exceeded the peak of the curve and began to decline, economic impact has decreased by 77.8 % during study period with economic level increased by 6.6 times. In conclusion, China's economic development is conducive to reducing disaster economic impact, but regional differences need to be made clear in the formulation of policies, reducing the indirect impact should be more of a regional disaster reduction priority in more developed areas.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
奔跑的骆驼完成签到,获得积分10
刚刚
卫烨磊完成签到,获得积分10
刚刚
英姑应助777采纳,获得10
2秒前
2秒前
2秒前
大福完成签到,获得积分10
2秒前
dududu发布了新的文献求助10
5秒前
害怕的萝完成签到,获得积分10
5秒前
灿烂sunfly发布了新的文献求助10
6秒前
7秒前
Nett发布了新的文献求助10
8秒前
害怕的萝发布了新的文献求助10
8秒前
果酱的奥特曼完成签到,获得积分10
10秒前
res完成签到,获得积分10
12秒前
qiangxu完成签到,获得积分10
14秒前
shelly完成签到,获得积分10
14秒前
15秒前
dqz发布了新的文献求助10
15秒前
dududu完成签到,获得积分10
15秒前
在水一方应助懒羊一脚泥采纳,获得10
16秒前
16秒前
传奇3应助yuxun采纳,获得10
17秒前
20秒前
灿烂sunfly完成签到,获得积分10
20秒前
21秒前
21秒前
hyy完成签到 ,获得积分10
24秒前
777发布了新的文献求助10
25秒前
霅霅完成签到,获得积分10
26秒前
26秒前
26秒前
30秒前
31秒前
Yingzi完成签到,获得积分10
32秒前
善良乐松完成签到,获得积分10
33秒前
小骆完成签到,获得积分10
37秒前
华仔应助眼睛大断缘采纳,获得10
38秒前
40秒前
CipherSage应助NingZH采纳,获得10
41秒前
41秒前
高分求助中
请在求助之前详细阅读求助说明!!!! 20000
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 1000
The Three Stars Each: The Astrolabes and Related Texts 900
Yuwu Song, Biographical Dictionary of the People's Republic of China 800
Multifunctional Agriculture, A New Paradigm for European Agriculture and Rural Development 600
Bernd Ziesemer - Maos deutscher Topagent: Wie China die Bundesrepublik eroberte 500
A radiographic standard of reference for the growing knee 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2477047
求助须知:如何正确求助?哪些是违规求助? 2140916
关于积分的说明 5457013
捐赠科研通 1864197
什么是DOI,文献DOI怎么找? 926718
版权声明 562846
科研通“疑难数据库(出版商)”最低求助积分说明 495852