Analysis of Spatial Correlation and Influencing Factors of Building a Carbon Emission Reduction Potential Network Based on the Coordination of Equity and Efficiency
Sensen Zhang and
Zhenggang Huo ()
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Sensen Zhang: College of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China
Zhenggang Huo: College of Civil Science and Engineering, Yangzhou University, Yangzhou 225127, China
Sustainability, 2023, vol. 15, issue 15, 1-21
Abstract:
Collaborative promotion of carbon emission reduction has become one of the most significant strategies for China to realize the dual-carbon goal. The purpose of this study is to utilize “relational data” to investigate overall and regional building carbon emission reduction networks based on the coordination of equity and efficiency. Specifically, the difference in importance between equity and efficiency principles is measured by an improved Markov chain. The spatial correlation network is constructed under the principle of coordinating equity and efficiency, and the network is analyzed using the modified gravity model and social network analysis. The results indicate that (1) the long-term “low-efficiency” problem of building carbon emissions is more serious than the long-term “low-equity” problem, and (2) the efficiency principle should be given greater weight in calculating carbon emission reduction potential. (3) The strength of network spatial association is increasing, and the spillover effect is significant, but the network form remains unstable. (4) The network is significantly impacted by geographic proximity, environmental regulations, energy consumption intensity, and the development level of the construction industry. The main achievement will assist developing countries in promoting sustainable development and collaborative carbon emission reduction in the construction sector.
Keywords: geographical information science; carbon reduction potential network; Markov chain; social network analysis; super-SBM; quadratic assignment procedure (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:15:p:11616-:d:1204075
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