Evidence map›Paper›PMID 42236881›Full record

ArticleScientific reports2026

New energy demonstration urban construction enhances ecological environmental resilience: evidence from China.

Lei Li, Xinshuai Xue, Zengkun Yang, Jiamin Liu, Zedong Yang, Yaqian Ruan

Abstract read
PubMed Full text at PMC Publisher
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

6 authors.

Lei LiBusiness School, Gansu University of Political Science and Law, Lanzhou, 730070, Gansu, People's Republic of China.
Xinshuai XueBusiness School, Gansu University of Political Science and Law, Lanzhou, 730070, Gansu, People's Republic of China.
Zengkun YangBusiness School, Gansu University of Political Science and Law, Lanzhou, 730070, Gansu, People's Republic of China.
Jiamin LiuBusiness School, Gansu University of Political Science and Law, Lanzhou, 730070, Gansu, People's Republic of China. ljm7497@gsupl.edu.cn.
Zedong YangSchool of Economics and Management, Neijiang Normal University, Neijiang, 641100, Sichuan, People's Republic of China.
Yaqian RuanCenter for China Fiscal Development, Central University of Finance and Economics, Beijing, 100081, People's Republic of China.

Funding

Gansu Provincial Philosophy and Social Sciences Fund General Project 2024YB087Gansu Provincial University Teachers Innovation Fund Project 2026A-125Gansu Provincial University Teachers Innovation Fund Project 2026B-150The Sichuan Provincial Philosophy and Social Sciences Planning Project in China SC25QG032the Soft Science Special Project of the Department of Science and Technology of Gansu Province- General Program in 2026 year 26JRZA115
6 · The paper itself

Abstract

Renewable energy is a cornerstone for addressing ecological degradation, resource depletion and climate risk. Can the new energy demonstration urban construction (NEDC) as an important policy tool of renewable energy development improve ecological environmental resilience (ENR)? Based on a panel data of 283 prefecture level and above cities from 2011 to 2022, the dual machine learning model is constructed to explore the impact of NEDC on ENR. The study finds that the NEDC is an important policy driver for enhancing ENR. Industrial structure upgrading, green technology innovation and energy consumption are the crucial influence pathways. There is significant heterogeneity of geographic location and resource abundance in the impact of NEDC on ENR. The findings of the study provide policy references for relevant departments to continuously optimize and promote the NEDC. Through the rising of ENR, the beautiful modernization construction of harmonious coexistence between human and nature is being comprehensively promoted.

Indexed as

Dual machine learningEco-environmental governanceEcological environmental resilienceGreen developmentNew energy demonstration urban construction

Identifiers

PMID42236881
PMCPMC13473497

What OpenQuestion holds

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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.