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Cited by 325

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Research on influencing factors of environmental pollution in China: A spatial econometric analysis

Liu, Kui, Lin, Boqiang·2019·Journal of Cleaner Production

Abstract

Abstract As the problem of China's environmental pollution is becoming more serious, people have paid more attention to the environmental pollution control. In this paper, we first built a comprehensive environmental pollution index including sulfur dioxide, smoke and dust, wastewater and solid waste emissions to measure the environmental pollution of each province synthetically. The method of space econometrics was then applied to analyze the main influencing factors of environmental pollution. Three conclusions were drawn from the empirical results. First, there is a significant spatial correlation between environmental pollution of different provinces. Second, there exists an inverted N relationship between environmental pollution and the economic development, moreover, most provinces have not arrived the second turning point of the inverted N curve except for several economically developed provinces. Third, both industrial structure and R&D investment have a significant influence on environmental pollution, while the influence of FDI is not significant. All these imply the necessity to establish a regional joint prevention and control mechanism to cope with the increasing environmental pollution.

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Metadata

Authors
Liu, K., & Lin, B.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2019-01
Volume
206
Pages
356-364
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2892584749
Cited by
325
References
22
FWCI
42.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Research on influencing factors of environmental pollution in China: A spatial econometric analysis. https://app.cochat.ai/papers/10.1016/j.jclepro.2018.09.194
The paper
Liu, K., & Lin, B. (2019). Research on influencing factors of environmental pollution in China: A spatial econometric analysis. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.09.194

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.