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Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China

Author

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  • Chenyu Lu

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Peng Meng

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Xueyan Zhao

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Lu Jiang

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
    Key Lab for Environment Computation and Sustainability of Liaoning Province, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China)

  • Zilong Zhang

    (College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China)

  • Bing Xue

    (Institute for Advances Sustainability Studies e. V., 14467 Potsdam, Germany)

Abstract

The improvement of energy consumption efficiency represents a significant task and a critical step toward sustainable energy transformations. This study uses a data envelopment analysis (DEA) and spatial autocorrelation method to conduct comprehensive measurement and assessment research on the economic-environmental efficiency of energy consumption in 31 Chinese provinces. It then carries out a synthetic study on energy consumption efficiency in the context of temporal and spatial dimensions, analyzes the characteristics and patterns related to temporal and spatial evolution, and systematically summarizes the temporal and spatial evolution processes associated with China’s economic-environmental efficiency in energy consumption. The results show that economic efficiency and environmental efficiency, both directly related to energy consumption, are positively correlated and display a parallel and synchronizing relationship. China’s energy consumption efficiency displays an upward trend in general, although differences exist between economic efficiency and environmental efficiency about the growth rate and overall development level. In other words, economic efficiency is generally higher than environmental efficiency. A positive spatial correlation occurs between economic and environmental efficiency in energy consumption across all the Chinese provinces studied. Furthermore, some cluster characteristic can be identified. Accurately, the eastern coastal area of China with a higher efficiency represents a spatial cluster of high values, whereas the midwestern inland area of China with a lower efficiency represents a spatial cluster of low values. Therefore, a descending pattern is displayed from the east to the west. As time goes by, the extent of clustering could become more prominent, accompanied by an increasing spatial cluster of high values and a decreasing spatial cluster of low values. Accordingly, China needs to improve its energy consumption efficiency further and promote sustainable energy transformations.

Suggested Citation

  • Chenyu Lu & Peng Meng & Xueyan Zhao & Lu Jiang & Zilong Zhang & Bing Xue, 2019. "Assessing the Economic-Environmental Efficiency of Energy Consumption and Spatial Patterns in China," Sustainability, MDPI, vol. 11(3), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:591-:d:200176
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    References listed on IDEAS

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    Cited by:

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    2. Pinglin He & Jing Ning & Zhongfu Yu & Hao Xiong & Huayu Shen & Hui Jin, 2019. "Can Environmental Tax Policy Really Help to Reduce Pollutant Emissions? An Empirical Study of a Panel ARDL Model Based on OECD Countries and China," Sustainability, MDPI, vol. 11(16), pages 1-32, August.
    3. Hao, Xiaoli & Wen, Shufang & Xue, Yan & Wu, Haitao & Hao, Yu, 2023. "How to improve environment, resources and economic efficiency in the digital era?," Resources Policy, Elsevier, vol. 80(C).
    4. Yanhong Liu & Xinjian Huang & Weiliang Chen, 2019. "The Dynamic Effect of High-Tech Industries’ R&D Investment on Energy Consumption," Sustainability, MDPI, vol. 11(15), pages 1-23, July.
    5. Hengji Li & Jiansheng Qu & Dai Wang & Peng Meng & Chenyu Lu & Jingjing Zeng, 2021. "Spatial-Temporal Integrated Measurement of the Efficiency of Urban Land Use in Yellow River Basin," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    6. Xianglong Tang & Chenyu Lu & Peng Meng & Wei Cheng, 2022. "Spatiotemporal Evolution of the Environmental Adaptability Efficiency of the Agricultural System in China," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
    7. Alexandre Repkine & Dongki Min, 2020. "Foreign-Funded Enterprises and Pollution Halo Hypothesis: A Spatial Econometric Analysis of Thirty Chinese Regions," Sustainability, MDPI, vol. 12(12), pages 1-24, June.

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