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Urban Industrial Carbon Efficiency Measurement and Influencing Factors Analysis in China

Author

Listed:
  • Weijia Cui

    (College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China)

  • Xueqin Lin

    (College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China)

  • Dai Wang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Ying Mi

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Based on the EBM-DEA (Explainable Boosting Machine-Data Envelopment Analysis) model, this paper constructs an evaluation model of urban industrial carbon efficiency (UICE), measures and analyzes the spatial evolution characteristics of China’s UICE from 2003 to 2016, and analyzes the influencing factors of UICE using the Tobit model. The research draws the following conclusions: (1) China’s UICE improved from 2003 to 2016, and the distribution showed a spatial pattern decreasing from the east, central, west, and northeast regions. (2) The UICE, by region, was at an initial low stable level in 2003 and was in the process of moving towards a highly-efficient stable state up until 2016. The differences between regions have been the main aspect which affects the overall variation in UICE in China. (3) There is a logistic curve relationship between the economic development level and UICE. (4) Nationally, the factors that are significantly and positively correlated with UICE are: industrial agglomeration, local fiscal decentralisation, level of economic development, technological progress, industrial enterprises’ average size, and industrial diversification. Factors that are significantly negatively correlated with UICE are the level of industrialization, the share of output value of state-owned enterprises in total output value, industrial openness, and environmental regulation. The factors influencing UICE differ depending on the stage of industrialization.

Suggested Citation

  • Weijia Cui & Xueqin Lin & Dai Wang & Ying Mi, 2022. "Urban Industrial Carbon Efficiency Measurement and Influencing Factors Analysis in China," Land, MDPI, vol. 12(1), pages 1-21, December.
    • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:26-:d:1011483
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    1. Xepapadeas, Anastasios, 2005. "Economic growth and the environment," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 3, chapter 23, pages 1219-1271, Elsevier.
    2. Dai, Shufen & Qian, Yawen & He, Weijun & Wang, Chen & Shi, Tianyu, 2022. "The spatial spillover effect of China's carbon emissions trading policy on industrial carbon intensity: Evidence from a spatial difference-in-difference method," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 139-149.
    3. Wang, Linhui & Wang, Hui & Cao, Zhanglu & He, Yongda & Dong, Zhiqing & Wang, Shixiang, 2022. "Can industrial intellectualization reduce carbon emissions? — Empirical evidence from the perspective of carbon total factor productivity in China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    4. Zhaohan Wang & Zijie Zhao & Chengxin Wang, 2021. "Random forest analysis of factors affecting urban carbon emissions in cities within the Yangtze River Economic Belt," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-20, June.
    5. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    6. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Energy and Environmental Efficiency in Different Chinese Regions," Sustainability, MDPI, vol. 11(4), pages 1-26, February.
    7. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "Environmental assessment for corporate sustainability by resource utilization and technology innovation: DEA radial measurement on Japanese industrial sectors," Energy Economics, Elsevier, vol. 46(C), pages 295-307.
    8. Hongtao Jiang & Jian Yin & Yuanhong Qiu & Bin Zhang & Yi Ding & Ruici Xia, 2022. "Industrial Carbon Emission Efficiency of Cities in the Pearl River Basin: Spatiotemporal Dynamics and Driving Forces," Land, MDPI, vol. 11(8), pages 1-22, July.
    9. Agras, Jean & Chapman, Duane, 1999. "A dynamic approach to the Environmental Kuznets Curve hypothesis," Ecological Economics, Elsevier, vol. 28(2), pages 267-277, February.
    10. Hongbin Cai & Qiao Liu, 2009. "Competition and Corporate Tax Avoidance: Evidence from Chinese Industrial Firms," Economic Journal, Royal Economic Society, vol. 119(537), pages 764-795, April.
    11. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    12. Jingyi Wang & Kaisi Sun & Jiupai Ni & Deti Xie, 2021. "Evaluation and Factor Analysis of Industrial Carbon Emission Efficiency Based on “Green-Technology Efficiency”—The Case of Yangtze River Basin, China," Land, MDPI, vol. 10(12), pages 1-23, December.
    13. Zhanhang Zhou & Linjian Cao & Kuokuo Zhao & Dongliang Li & Ci Ding, 2021. "Spatio-Temporal Effects of Multi-Dimensional Urbanization on Carbon Emission Efficiency: Analysis Based on Panel Data of 283 Cities in China," IJERPH, MDPI, vol. 18(23), pages 1-20, December.
    14. Gao, Mingyun & Yang, Honglin & Xiao, Qinzi & Goh, Mark, 2022. "A novel method for carbon emission forecasting based on Gompertz's law and fractional grey model: Evidence from American industrial sector," Renewable Energy, Elsevier, vol. 181(C), pages 803-819.
    15. Lu, Qinli & Yang, Hong & Huang, Xianjin & Chuai, Xiaowei & Wu, Changyan, 2015. "Multi-sectoral decomposition in decoupling industrial growth from carbon emissions in the developed Jiangsu Province, China," Energy, Elsevier, vol. 82(C), pages 414-425.
    16. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    17. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
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    2. Yuxue Zhang & Rui Wang & Xingyuan Yang & He Zhang, 2023. "Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies," Land, MDPI, vol. 12(6), pages 1-21, May.

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