Green growth efficiency of Chinese cities and its spatio-temporal pattern
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“In the long run, it does not show any conflicts as the emissions decline with a sustained increase in high-quality economic development [19].”
Background
- Authors
- Ma, L., Long, H., Chen, K., Tu, S., Zhang, Y., & Liao, L.
- Affiliations
- Chinese Academy of Sciences (CN)
- Corresponding author
- Long, Hualou
- Tu, Shuangshuang
- Venue
- Resources, Conservation and Recycling
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 146
- Pages
- 441-451
- ISSN
- 0921-3449 (ISSN-L)
- OpenAlex
- W2937107344
- Cited by
- 138
- References
- 54
- Citations by year
- 2026: 12 · 2025: 13 · 2024: 16 · 2023: 30 · 2022: 19 · 2021: 18 · 2020: 25 · 2019: 5
- FWCI
- 11.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Resources Conservation and Recycling (publishedVersion)
- Funders
- Natural Science Foundation of Guangxi Zhuang Autonomous Region (2018GXNSFAA138055)
- National Natural Science Foundation of China (41731286)
- China Postdoctoral Science Foundation (2018M630197)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
- 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
- Keywords
- Chinese cities, spatiotemporal pattern, regional disparities, spatial correlation, center of gravity shift, environmental impact, evaluation index system, TOPSIS, entropy weight method, prefecture-level cities
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