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Analysis of the Dynamic Relationship between Green Economy Efficiency and Urban Land Development Intensity in China

Bibliographic Data

ID15464989
AuthorsJiao Hou (Central China Normal University), Xinhai Lu (0000-0002-3368-8636, Central China Normal University, corresponding author), Shiman Wu (0000-0003-2222-6257, Wuhan Institute of Technology), Shangan Ke (0000-0001-5501-562X, Central China Normal University), Jia Li (0000-0003-0253-8544, Central China Normal University)
Year2022
Volume19
Issue13
Pages7960-7960
Publication date2022-06-29
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19137960
PMID35805616
OpenAlexW4284992174
LanguageEN
Citations received1
References cited29

The improvement of green economic efficiency (GEE) should be realized under reasonable urban land development intensity (ULDI). Improving GEE can also help alleviate the negative externalities of excessive or unreasonable ULDI. Clarifying the interactive response mechanism between GEE and ULDI is a key link in regional sustainable development. Therefore, this paper uses the super-efficiency slack-based model (SBM) method, panel entropy method, and panel vector auto regression model to comprehensively analyze the interactive response relationship between GEE and ULDI in 283 prefecture-level cities in China from 2003 to 2019. This paper finds that: (1) during the research period, both the GEE and ULDI showed a relatively obvious upward trend, which is manifested in the fact that ULDI increased year by year while GEE overall increased in volatility. The growth and evolution trend of ULDI and GEE has the characteristics of interaction and coordination; (2) there is a two-way interactive Granger causality between ULDI and GEE, showing a positive interactive response effect; and (3) both ULDI and GEE have positive inertial growth and self-enhancement mechanisms. In the long run, GEE has a greater impact on the change of ULDI

Causality (physics · China · Econometrics · Economics · Gee · Generalized estimating equation · Geography · Granger causality · Statistics · Volatility (finance · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Land Use and Ecosystem Services · Mathematics

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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