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Geographical Detector Model for Influencing Factors of Industrial Sector Carbon Dioxide Emissions in Inner Mongolia, China

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  • Rina Wu

    (College of Environment, Northeast Normal University, Changchun 130024, China)

  • Jiquan Zhang

    (College of Environment, Northeast Normal University, Changchun 130024, China)

  • Yuhai Bao

    (Inner Mongolia Key Laboratory of Remote Sensing and Geographic Information, Huhhot 010022, China)

  • Feng Zhang

    (College of Environment, Northeast Normal University, Changchun 130024, China)

Abstract

Studying the influencing factors of carbon dioxide emissions is not only practically but also theoretically crucial for establishing regional carbon-reduction policies, developing low-carbon economy and solving the climate problems. Therefore, we used a geographical detector model which is consists of four parts, i.e. , risk detector, factor detector, ecological detector and interaction detector to analyze the effect of these social economic factors, i.e. , GDP, industrial structure, urbanization rate, economic growth rate, population and road density on the increase of energy consumption carbon dioxide emissions in industrial sector in Inner Mongolia northeast of China. Thus, combining with the result of four detectors, we found that GDP and population more influence than economic growth rate, industrial structure, urbanization rate and road density. The interactive effect of any two influencing factors enhances the increase of the carbon dioxide emissions. The findings of this research have significant policy implications for regions like Inner Mongolia.

Suggested Citation

  • Rina Wu & Jiquan Zhang & Yuhai Bao & Feng Zhang, 2016. "Geographical Detector Model for Influencing Factors of Industrial Sector Carbon Dioxide Emissions in Inner Mongolia, China," Sustainability, MDPI, vol. 8(2), pages 1-12, February.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:2:p:149-:d:63532
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    References listed on IDEAS

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    Cited by:

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    5. Teng Zhang & Yixuan Sun & Mei Guan & Jieming Kang & Baolei Zhang, 2022. "Human Activity Intensity in China under Multi-Factor Interactions: Spatiotemporal Characteristics and Influencing Factors," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    6. Hanxiong Zhu & Kexi Pan & Yong Liu & Zheng Chang & Ping Jiang & Yongfu Li, 2019. "Analyzing Temporal and Spatial Characteristics and Determinant Factors of Energy-Related CO 2 Emissions of Shanghai in China Using High-Resolution Gridded Data," Sustainability, MDPI, vol. 11(17), pages 1-21, August.
    7. Wang Zhang & Pengfei Feng, 2020. "Differentiation research of CO2 emissions from energy consumption and their influencing mechanism on the industrial enterprises above designated size in Chinese industrial cities: based on geographica," 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. 102(2), pages 645-658, June.
    8. Qiurong Xu & Xinqi Zheng & Chunxiao Zhang, 2018. "Quantitative Analysis of the Determinants Influencing Urban Expansion: A Case Study in Beijing, China," Sustainability, MDPI, vol. 10(5), pages 1-16, May.
    9. Xin Xu & Yuan Zhao & Xinlin Zhang & Siyou Xia, 2018. "Identifying the Impacts of Social, Economic, and Environmental Factors on Population Aging in the Yangtze River Delta Using the Geographical Detector Technique," Sustainability, MDPI, vol. 10(5), pages 1-15, May.

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