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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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    as
    1. Shi Wang & Hua Wang & Li Zhang & Jun Dang, 2019. "Provincial Carbon Emissions Efficiency and Its Influencing Factors in China," Sustainability, MDPI, vol. 11(8), pages 1-21, April.
    2. Hui Zhang & Xiumei Sun & Wenwen Wang, 2017. "Study on the spatial and temporal differentiation and influencing factors of carbon emissions in Shandong province," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 973-988, June.
    3. Lijie Gao & Xiaoqi Shang & Fengmei Yang & Longyu Shi, 2021. "A Dynamic Benchmark System for Per Capita Carbon Emissions in Low-Carbon Counties of China," Energies, MDPI, vol. 14(3), pages 1-16, January.
    4. Roger S. Bivand & David W. S. Wong, 2018. "Comparing implementations of global and local indicators of spatial association," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 716-748, September.
    5. Cristiana Tudor & Robert Sova, 2021. "On the Impact of GDP per Capita, Carbon Intensity and Innovation for Renewable Energy Consumption: Worldwide Evidence," Energies, MDPI, vol. 14(19), pages 1-25, October.
    6. Wenwen Li & Wenping Wang & Yu Wang & Yingbo Qin, 2017. "Industrial structure, technological progress and CO2 emissions in China: Analysis based on the STIRPAT framework," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1545-1564, September.
    7. Mahapatra, Bamadev & Irfan, Mohd, 2021. "Asymmetric impacts of energy efficiency on carbon emissions: A comparative analysis between developed and developing economies," Energy, Elsevier, vol. 227(C).
    8. Shahbaz, Muhammad & Balsalobre-Lorente, Daniel & Sinha, Avik, 2019. "Foreign Direct Investment–CO2 Emissions Nexus in Middle East and North African countries: Importance of Biomass Energy Consumption," MPRA Paper 91729, University Library of Munich, Germany, revised 19 Jan 2019.
    9. 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.
    10. Razzaq, Asif & Wang, Yufeng & Chupradit, Supat & Suksatan, Wanich & Shahzad, Farrukh, 2021. "Asymmetric inter-linkages between green technology innovation and consumption-based carbon emissions in BRICS countries using quantile-on-quantile framework," Technology in Society, Elsevier, vol. 66(C).
    11. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    12. Ye Tian & Peng Huang & Xu Zhao, 2020. "Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-29, December.
    13. Yanbin Li & Zhen Li & Min Wu & Feng Zhang & Gejirifu De, 2018. "Regional-Level Allocation of CO 2 Emission Permits in China: Evidence from the Boltzmann Distribution Method," Sustainability, MDPI, vol. 10(8), pages 1-16, July.
    14. Acheampong, Alex O., 2018. "Economic growth, CO2 emissions and energy consumption: What causes what and where?," Energy Economics, Elsevier, vol. 74(C), pages 677-692.
    15. Markus Grillitsch & Bjørn Asheim, 2018. "Place-based innovation policy for industrial diversification in regions," European Planning Studies, Taylor & Francis Journals, vol. 26(8), pages 1638-1662, August.
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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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