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Does Intensive Land Use Contribute to Energy Efficiency?—Evidence Based on a Spatial Durbin Model

Author

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  • Haiqian Ke

    (Fanli Business School, Nanyang Institute of Technology, Nanyang 473000, China)

  • Bo Yang

    (Institute of Central China Development, Wuhan University, Wuhan 430072, China)

  • Shangze Dai

    (Institute of Central China Development, Wuhan University, Wuhan 430072, China)

Abstract

In order to ensure the safety of cultivated land and promote urban productivity, the Chinese government began to promote intensive land use at the legislative level from 2014. At the same time, China faces problems of carbon emissions and energy, so we need to improve energy efficiency. Therefore, this paper aims to verify the spatial effects of intensive land use on energy efficiency of China from 2009 to 2018. We further use an index system to quantify intensive land use and use chain DEA (data envelope analysis) to quantify energy efficiency. This paper finds that: (1) intensive land use can significantly improve energy efficiency. A 1% increase in the level of intensive land use will increase energy efficiency by 1.3%. (2) The intensive use of land in one city will have a negative impact on the energy efficiency of surrounding cities. The reason is that the intensive use of land in a single city may lead to the transfer of energy-consuming industries to surrounding cities. (3) The impact of intensive land use on the energy efficiency of surrounding cities has negative threshold characteristics, and the negative impact will be weakened as the level of integration of the city increases.

Suggested Citation

  • Haiqian Ke & Bo Yang & Shangze Dai, 2022. "Does Intensive Land Use Contribute to Energy Efficiency?—Evidence Based on a Spatial Durbin Model," IJERPH, MDPI, vol. 19(9), pages 1-17, April.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:9:p:5130-:d:800301
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    References listed on IDEAS

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    Cited by:

    1. Shiguang Peng & Le Wang & Lei Xu, 2023. "Impact of the Marketization of Industrial Land Transfer on Regional Carbon Emission Intensity: Evidence from China," Land, MDPI, vol. 12(5), pages 1-20, April.

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