Evidence map›Paper›PMID 42031803›Full record

ArticleScientific reports2026

The impact of urban climate governance on FDI: empirical evidence from the construction of climate-adaptive pilot cities.

Anran Dong, Bingbing Zhang, Lijuan Cao

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anran DongSchool of Economics and Management, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
Bingbing ZhangSchool of Economics and Management, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China.
Lijuan CaoSchool of Economics and Management, Nanjing Agricultural University, Nanjing, 210095, People's Republic of China. caolj@njau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on data from Chinese cities between 2006 and 2022, this paper takes the pilot of climate-adapted cities as a quasi-natural experiment and applies a double dual machine learning method to comprehensively evaluate the effect of urban climate governance on foreign direct investment (FDI). The findings demonstrate that urban climate governance substantially enhances the inflow of FDI into China. Furthermore, heterogeneity analyses indicate that urban climate governance most significantly boosts FDI volumes in cities with high economic development level, coastal cities, cities with higher industrial structure and high institutional quality. Mechanism tests reveal that urban climate governance influences FDI inflows by enhancing supply chain resilience and advancing the level of climate-adaptive technology innovation. Extended analyses show that urban climate governance also improves FDI quality, yielding a "double dividend" of both growth and enhanced investment quality. Additionally, urban climate governance has significantly accelerated the pace at which Chinese enterprises are "going out" and increased the scale of their outward foreign direct investment. These findings provide useful insights for the government to promote climate adaptive governance and achieve a higher level of a new development pattern of openness.

Indexed as

Climate-resilient technology innovationDouble dual machine learning modelForeign direct investmentSupply chain resilienceUrban climate governance

Identifiers

PMID42031803
PMCPMC13275882

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.