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Cited by 224Energy, Environment, Economic GrowthSustainable Development and Environmental PolicySustainable Development and Policies

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Measuring the green economic growth in China: Influencing factors and policy perspectives

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Crossref · 10.1016/j.energy.2021.122518

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References 64 · Cited by 224

Research works printed but not linked: 1

  1. Han, 2019, Industrial agglomeration, public service supply and urban expansion [J], Econ Res J, 54, 149

Metadata

Authors
Lin, B., & Zhou, Y.
Affiliations
Xiamen University (CN)
Corresponding author
Lin, Boqiang
Venue
Energy
Publisher
Elsevier BV
Published
2022-02
Volume
241
Pages
122518
ISSN
0360-5442 (ISSN-L)
OpenAlex
W3210917911
Cited by
224
References
64
Citations by year
2026: 28 · 2025: 48 · 2024: 58 · 2023: 65 · 2022: 24
FWCI
28.26
Type
journal article
Language
en
Open access
closed
Locations
  • Energy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
Xiamen University
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Energy, Environment, Economic Growth
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Sustainable Development and Environmental Policy
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Sustainable Development and Policies
Keywords
green growth, influencing factors, regional disparities, spatial agglomeration, ecological civilization, technological innovation, environmental regulation, FDI, urbanization, industrial structure, green economic policy, China

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CoChat. (2026). Citation check: Measuring the green economic growth in China: Influencing factors and policy perspectives. https://app.cochat.ai/papers/10.1016/j.energy.2021.122518
The paper
Lin, B., & Zhou, Y. (2022). Measuring the green economic growth in China: Influencing factors and policy perspectives. Energy. https://doi.org/10.1016/j.energy.2021.122518

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.