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Coupling Coordination and Spatiotemporal Evolution between Carbon Emissions, Industrial Structure, and Regional Innovation of Counties in Shandong Province

Author

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  • Jianshi Wang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Chengxin Wang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Shangkun Yu

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Mengcheng Li

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Yu Cheng

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

Abstract

Industrial structure and regional innovation have a significant impact on emissions. This study explores, from the multivariate coupling and spatial perspectives, the degree of coupling coordination between three factors: industrial structure, carbon emissions, and regional innovation of 97 counties in Shandong Province, China from 2000 to 2017. On the basis of global spatial autocorrelation and cold and hot spots, this article analyzes the spatial characteristics and aggregation effects of coupled and coordinated development within each region. The results are as follows. (1) The coupling degree between carbon emissions, industrial structure, and regional innovation in these counties fluctuated upward from 2000 to 2017. Coupling coordination progressed from low coordination to basic coordination. Regional differences in coupling coordination degree are evident, showing a stepped spatial distribution pattern with high levels in the east and low levels in the west. (2) During the study period, the coupling coordination showed a positive correlation in spatial distribution. Moran’s I varies from 0.057 to 0.305 on a global basis. Spatial clustering is characterized by agglomeration of cold spots and hot spots. (3) The coupling coordination exhibited significant spatial differentiation. The hot spots were distributed in the eastern part, while the cold spots were located in the western part. The results of this study suggest that the counties in Shandong Province should promote industrial structure upgrades and enhance regional innovation to reduce carbon emissions.

Suggested Citation

  • Jianshi Wang & Chengxin Wang & Shangkun Yu & Mengcheng Li & Yu Cheng, 2022. "Coupling Coordination and Spatiotemporal Evolution between Carbon Emissions, Industrial Structure, and Regional Innovation of Counties in Shandong Province," Sustainability, MDPI, vol. 14(12), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:12:p:7484-:d:842657
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    Cited by:

    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. Haider Mahmood & Maham Furqan & Najia Saqib & Anass Hamadelneel Adow & Muzaffar Abbas, 2023. "Innovations and the CO 2 Emissions Nexus in the MENA Region: A Spatial Analysis," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    3. Guoliang Fan & Anni Zhu & Hongxia Xu, 2023. "Analysis of the Impact of Industrial Structure Upgrading and Energy Structure Optimization on Carbon Emission Reduction," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    4. Yuxuan Ma & Lei Wang & Di Hu & Yaoqing Ge & Junzhu Zuo & Tian Lan, 2023. "Analysis of spatial patterns of technological innovation capability based on patent data in Jiangsu province, China," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    5. Jinxing Hu & Cuiying Shao & Zhaolong Zhang, 2022. "The Impact of Sustainable Regional Development Policy on Carbon Emissions: Evidence from Yangtze River Delta of China," Energies, MDPI, vol. 15(24), pages 1-25, December.

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