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Cited by 304

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

The effect of industrial agglomeration on green development efficiency in Northeast China since the revitalization

Guo, Yanhua, Tong, Lianjun, Mei, Lin·2020·Journal of Cleaner Production

Abstract

Abstract Using panel data from 2003 to 2016, this paper estimates the green development efficiency of 34 cities in Northeast China based on the SBM-DEA model and determines whether industrial agglomeration promotes or impedes green development efficiency. The results show the following: (1) The average green development efficiency of Northeast China exhibits a fluctuant upward trend in 2003–2016, and there are significant spatial differences. (2) During the revitalization period, industrial agglomeration hinders green development efficiency. A U-shaped relationship exists between industrial agglomeration and green development. (3) Economic development level and foreign direct investment are positively related to green development efficiency, while industrial structure, energy consumption structure and environmental regulation are negatively related. Economic development level has the greatest positive influence and environmental regulation the strongest negative influence on green development. Several corresponding policy implications are proposed for promoting green development and revitalization.

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Metadata

Authors
Guo, Y., Tong, L., & Mei, L.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2020-06
Volume
258
Pages
120584
ISSN
0959-6526 (ISSN-L)
OpenAlex
W3005559502
Cited by
304
References
48
FWCI
29.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The effect of industrial agglomeration on green development efficiency in Northeast China since the revitalization. https://app.cochat.ai/papers/10.1016/j.jclepro.2020.120584
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Guo, Y., Tong, L., & Mei, L. (2020). The effect of industrial agglomeration on green development efficiency in Northeast China since the revitalization. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.120584

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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.