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Characteristics of the Spatio-Temporal Trends and Driving Factors of Industrial Development and Industrial SO 2 Emissions Based on Niche Theory: Taking Henan Province as an Example

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  • Pengyan Zhang

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization along the Yellow River), Henan University, Kaifeng 475004, China
    Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475001, China
    College of Environment and Planning, Henan University, Kaifeng 475001, China)

  • Yu Zhang

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization along the Yellow River), Henan University, Kaifeng 475004, China
    College of Environment and Planning, Henan University, Kaifeng 475001, China)

  • Jay Lee

    (College of Environment and Planning, Henan University, Kaifeng 475001, China
    Department of Geography, Kent State University, Kent, OH 44242-0002, USA)

  • Yanyan Li

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization along the Yellow River), Henan University, Kaifeng 475004, China
    College of Environment and Planning, Henan University, Kaifeng 475001, China)

  • Jiaxin Yang

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization along the Yellow River), Henan University, Kaifeng 475004, China
    College of Environment and Planning, Henan University, Kaifeng 475001, China)

  • Wenliang Geng

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization along the Yellow River), Henan University, Kaifeng 475004, China
    College of Environment and Planning, Henan University, Kaifeng 475001, China)

  • Ying Liu

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization along the Yellow River), Henan University, Kaifeng 475004, China
    College of Environment and Planning, Henan University, Kaifeng 475001, China)

  • Tianqi Rong

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization along the Yellow River), Henan University, Kaifeng 475004, China
    College of Environment and Planning, Henan University, Kaifeng 475001, China)

  • Jingwen Shao

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization along the Yellow River), Henan University, Kaifeng 475004, China
    College of Environment and Planning, Henan University, Kaifeng 475001, China)

  • Bin Li

    (Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Research Center of Regional Development and Planning, Institute of Agriculture and Rural Sustainable Development, Henan Overseas Expertise Introduction Center for Discipline Innovation (Ecological Protection and Rural Revitalization along the Yellow River), Henan University, Kaifeng 475004, China
    College of Environment and Planning, Henan University, Kaifeng 475001, China)

Abstract

Industrial development is critical in improving a nation’s economy and in how it consumes energy resources. However, such development often causes environmental problems. Among others, the haze caused by industrial SO 2 emissions is particularly prominent. Based on Niche theory and combined with Exploratory Spatial Data Analysis (ESDA, a decoupling index model, and a Logarithmic Mean Divisia Index (LMDI) factor decomposition model, this paper reports a study on the spatio-temporal distribution and the driving factors of industrial development and industrial SO 2 emissions of cities in Henan, China between 2005 and 2014. The results showed that over the studied period in Henan: (1) SO 2 emissions reduced by 4.56 × 10 5 tons and showed a slowly decreasing trend, which gradually transitioned to a “green health” industrial structure in Henan cities; (2) studied cities with high and low industrial niche values (0.038–0.139) showed an absolute decoupling relationship between industrial development and industrial SO 2 emissions; (3) except for Zhengzhou city and Hebi city, other studied cities showed a trend of gradually increasing industrial output; (4) along with increases in the values of industrial output, studied cities showed increased levels of SO 2 emissions but with energy intensity and energy structure showing a fluctuating trend of increases and decreases in their contributions to SO 2 emissions; and (5) the energy consumption intensity and environmental technology were critical factors that were conducive to industrial SO 2 emissions and the evolving industrial structure. These findings are important for the control of industrial SO 2 emissions, though the levels of their influences are different in different cities. The scale of industrial production and the composition of energy structure in a region could lead to further deterioration of industrial SO 2 emissions in the future.

Suggested Citation

  • Pengyan Zhang & Yu Zhang & Jay Lee & Yanyan Li & Jiaxin Yang & Wenliang Geng & Ying Liu & Tianqi Rong & Jingwen Shao & Bin Li, 2020. "Characteristics of the Spatio-Temporal Trends and Driving Factors of Industrial Development and Industrial SO 2 Emissions Based on Niche Theory: Taking Henan Province as an Example," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:4:p:1389-:d:320243
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