arbiter
JournalsPricingAccount

Firm-Level Adaptation to Climate Change in Low- and Middle-Income Countries

Ana Goicoechea & Megan Lang

World Bank Research Observer2025https://doi.org/10.1093/wbro/lkaf001article
AJG 2ABDC B
Weight
0.37

What the paper says

Abstract The effects of climate change are disproportionately concentrated in low- and middle-income countries (LMICs). Firms have incentives to adapt to climate change, but market frictions common in developing country contexts may hinder firm adaptation efforts. This paper reviews microeconomic, empirical evidence on the impacts of climate change on firms in LMICs and firm-level adaptation strategies. Current evidence highlights challenges and opportunities from climate change and suggests that firms are attempting to adapt but face barriers to full adaptation. Limited geographic coverage and a focus on short-term responses to weather rather than responses to long-term changes in climate highlight the need for further work on firm-level climate adaptation in LMICs.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1093/wbro/lkaf001

Or copy a formatted citation

@article{ana2025,
  title        = {{Firm-Level Adaptation to Climate Change in Low- and Middle-Income Countries}},
  author       = {Ana Goicoechea & Megan Lang},
  journal      = {World Bank Research Observer},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1093/wbro/lkaf001},
}

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

Flag this paper

Firm-Level Adaptation to Climate Change in Low- and Middle-Income Countries

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.