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How Does the Intensive Use of Urban Construction Land Improve Carbon Emission Efficiency?—Evidence from the Panel Data of 30 Provinces in China

Author

Listed:
  • Dengjuan Liu

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Wei Liu

    (School of Environment, Tsinghua University, Beijing 100084, China)

  • Yuming He

    (College of Economics and Management, Northwest University, Xi’an 710119, China)

Abstract

China actively explores the green development road by promoting the intensive use of urban construction land and low carbon emissions. This research evaluates urban construction land intensity and carbon emission efficiency by using a multifactor comprehensive evaluation method and SBM model and measures the spatial characteristics of between urban construction land intensity and carbon emission efficiency by Moran’s I and LISA scattering. The result shows that (1) the average value of urban construction land intensity was constantly improving from 0.11 in 2000 to 0.29 in 2021, (2) the value of carbon emission efficiency generally showed a fluctuating downward from 0.89 in 2000 to 0.66 in 2009 and then a fluctuating upward to 0.84 in 2021, with many provinces located in the Level III and IV carbon emission efficiency intervals, (3) the land development, road density, technology development, and fixed asset investment have a negative impact on carbon emission efficiency, while the greening level and tax have a positive promotion effect, and (4) the correlation and spatial features between urban construction land intensity and carbon emission efficiency in 30 provinces have consistency, as well as heterogeneity in the temporal and spatial development trends. Policy implications are accordingly proposed.

Suggested Citation

  • Dengjuan Liu & Wei Liu & Yuming He, 2024. "How Does the Intensive Use of Urban Construction Land Improve Carbon Emission Efficiency?—Evidence from the Panel Data of 30 Provinces in China," Land, MDPI, vol. 13(12), pages 1-22, December.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2133-:d:1539585
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    References listed on IDEAS

    as
    1. Mengcheng Li & Haimeng Liu & Shangkun Yu & Jianshi Wang & Yi Miao & Chengxin Wang, 2022. "Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China," IJERPH, MDPI, vol. 19(15), pages 1-26, July.
    2. Sanying Feng & Gaorong Li & Tiejun Tong & Shuanghua Luo, 2020. "Testing for heteroskedasticity in two-way fixed effects panel data models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(1), pages 91-116, January.
    3. Yuan Zhang & Zhen Yu & Juan Zhang, 2021. "Analysis of carbon emission performance and regional differences in China’s eight economic regions: Based on the super-efficiency SBM model and the Theil index," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-21, May.
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