Cities economies in a warming world: An in-depth study of long-run and short-run climate change impact in China

Understanding the economic impacts of climate change is crucial for shaping effective policy responses. This study examines the relationship between historical temperature fluctuations and economic growth in Chinese cities from 1999 to 2018. Using a stylized growth model and panel data analysis, we assess both short-term and long-term effects of temperature variations on overall economic output and sector-specific performance across agriculture, manufacturing, and services. Our findings reveal a non-linear temperature-economic growth relationship, with significant short-run disruptions and long-lasting sectoral impacts. While the agricultural sector benefits from moderate warming, manufacturing and services experience adverse effects over time. Moreover, low-income cities and those with specific industry structures exhibit heightened vulnerability to climate fluctuations. Projections suggest potential annual economic impacts ranging from −0.4 % to 0.2 % on per capita income growth, with cumulative effects leading to a −1 % to 15 % change in per capita GDP by the end of the century. These results underscore the necessity for targeted adaptive strategies and low-emission economic pathways to mitigate climate-induced economic risks.

Authors

Institutions

Publication Details

Journal
Sustainable Futures
Published
2025-03-20
DOI
https://doi.org/10.1016/j.sftr.2025.100552
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cities economies in a warming world: An in-depth study of long-run and short-run climate change impact in China

Na Huang, Pengshuai Bi, Zhihua Pan, Jingyu Men et al.
1 citations
Sustainable Futures
Climate variability and models
1.11
article

Cities economies in a warming world: An in-depth study of long-run and short-run climate change impact in China

Na Huang, Pengshuai Bi, Zhihua Pan, Jingyu Men, Riping Gao, Xiaohong Chen, Yu Song, Kang Jiang
article en
1 citations

Abstract

Understanding the economic impacts of climate change is crucial for shaping effective policy responses. This study examines the relationship between historical temperature fluctuations and economic growth in Chinese cities from 1999 to 2018. Using a stylized growth model and panel data analysis, we assess both short-term and long-term effects of temperature variations on overall economic output and sector-specific performance across agriculture, manufacturing, and services. Our findings reveal a non-linear temperature-economic growth relationship, with significant short-run disruptions and long-lasting sectoral impacts. While the agricultural sector benefits from moderate warming, manufacturing and services experience adverse effects over time. Moreover, low-income cities and those with specific industry structures exhibit heightened vulnerability to climate fluctuations. Projections suggest potential annual economic impacts ranging from −0.4 % to 0.2 % on per capita income growth, with cumulative effects leading to a −1 % to 15 % change in per capita GDP by the end of the century. These results underscore the necessity for targeted adaptive strategies and low-emission economic pathways to mitigate climate-induced economic risks.

Sustainable FuturesVol. 9
Los Alamos National Laboratory (US), China Meteorological Administration (CN), New Mexico Consortium (US), Los Alamos National Security (United States) (US), Los Alamos Medical Center (US), China Agricultural University (CN)
National Key Research and Development Program of China
Climate action
Openalex Percentile: Top 26%
Climate variability and models
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.