arbiter
JournalsPricingAccount

EVALUATING CLIMATE CHANGE VULNERABILITIES IN THE ASEAN SERVICE SECTOR

Ingul Baek et al.

Climate Change Economics2025https://doi.org/10.1142/s2010007825500149article
ABDC B
Weight
0.37

What the paper says

This study analyzes the impact of climate change on the service sector in ASEAN economies, using a 40-year panel dataset covering 21 Asia-Pacific countries. Focusing on temperature and precipitation anomalies, we estimate fixed-effects regressions with linear and nonlinear specifications. A sector-wide result shows a significant negative loading on temperature, while precipitation remains insignificant. Sub-sector estimates uncover sharp heterogeneity: Wholesale & Retail Trade, Hotels & Restaurants and Transport, Storage & Communications display robust negative first-order temperature components; Financial & Real Estate exhibits a weak concave response; Community, Social & Personal Services show no discernible effect. These results imply differentiated adaptation priorities. Policymakers should channel resources toward heat-resilient retail, logistics and tourism operations, while monitoring and incremental digitization suffice for the currently less-sensitive service sectors.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1142/s2010007825500149

Or copy a formatted citation

@article{ingul2025,
  title        = {{EVALUATING CLIMATE CHANGE VULNERABILITIES IN THE ASEAN SERVICE SECTOR}},
  author       = {Ingul Baek et al.},
  journal      = {Climate Change Economics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1142/s2010007825500149},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

EVALUATING CLIMATE CHANGE VULNERABILITIES IN THE ASEAN SERVICE SECTOR

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.