IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i15p5610-d394248.html
   My bibliography  Save this article

Spatial Effect of Industrial Energy Consumption Structure and Transportation on Haze Pollution in Beijing-Tianjin-Hebei Region

Author

Listed:
  • Meicun Li

    (Business School, Hohai University, Nanjing 211100, China
    Centre for Environmental Policy, Imperial College London, South Kensington, London SW7 1NA, UK)

  • Chunmei Mao

    (School of Public Administration, Hohai University, Nanjing 211100, China)

Abstract

Haze pollution has a serious impact on China’s economic development and people’s livelihood. We used data on PM 2.5 concentration, industrial energy consumption structure, economic development and transportation in Beijing-Tianjin-Hebei and surrounding cities from 2000 to 2017, and analyzed the spatial effect of industrial energy consumption structure and traffic factors on haze pollution by using spatial autoregressive model (SAR) and spatial error model (SEM). The results indicated that: (1) The global spatial correlation analysis showed that haze pollution had a significant positive spatial correlation, and the local spatial correlation analysis showed that the high-high clusters of PM 2.5 were located in the south and middle of the region; (2) The change of industrial energy consumption structure was highly correlated with haze pollution, namely, the increase of industrial energy consumption led to the deterioration of environmental quality; (3) The change of economic development was highly correlated with haze pollution. There was no clear EKC relationship between haze pollution and economic development in Beijing-Tianjin-Hebei region and surrounding cities. However, the relationship was similar to inverted U-shaped curve; (4) The change of traffic jam was highly correlated with haze pollution, namely, the increase of fuel consumption per unit road area led to the deterioration of environmental quality. Based on the above results, from the perspective of space, the long-term measures for haze control in Beijing-Tianjin-Hebei and surrounding cities can be explored from the aspects of energy conservation and emission reduction, industrial transfer, vehicle emission control, traffic restrictions and purchase restrictions.

Suggested Citation

  • Meicun Li & Chunmei Mao, 2020. "Spatial Effect of Industrial Energy Consumption Structure and Transportation on Haze Pollution in Beijing-Tianjin-Hebei Region," IJERPH, MDPI, vol. 17(15), pages 1-12, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5610-:d:394248
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/15/5610/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/15/5610/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wayne B. Gray & Ronald J. Shadbegian, 2007. "The Environmental Performance Of Polluting Plants: A Spatial Analysis," Journal of Regional Science, Wiley Blackwell, vol. 47(1), pages 63-84, February.
    2. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    3. Sudhakara Reddy, B. & Kumar Ray, Binay, 2011. "Understanding industrial energy use: Physical energy intensity changes in Indian manufacturing sector," Energy Policy, Elsevier, vol. 39(11), pages 7234-7243.
    4. I.J. Bateman & A.P. Jones & A.A. Lovett & I.R. Lake & B.H. Day, 2002. "Applying Geographical Information Systems (GIS) to Environmental and Resource Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(1), pages 219-269, June.
    5. Yang, Xue & Wang, Shaojian & Zhang, Wenzhong & Li, Jiaming & Zou, Yafeng, 2016. "Impacts of energy consumption, energy structure, and treatment technology on SO2 emissions: A multi-scale LMDI decomposition analysis in China," Applied Energy, Elsevier, vol. 184(C), pages 714-726.
    6. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
    7. Maddison, David, 2006. "Environmental Kuznets curves: A spatial econometric approach," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 218-230, March.
    8. Michael Jerrett & Sara Gale & Caitlin Kontgis, 2010. "Spatial Modeling in Environmental and Public Health Research," IJERPH, MDPI, vol. 7(4), pages 1-28, March.
    9. Wu, Ya & Zhang, Wanying, 2016. "The driving factors behind coal demand in China from 1997 to 2012: An empirical study of input-output structural decomposition analysis," Energy Policy, Elsevier, vol. 95(C), pages 126-134.
    10. Barth, Matthew & Boriboonsomsin, Kanok, 2009. "Traffic Congestion and Greenhouse Gases," University of California Transportation Center, Working Papers qt3vz7t3db, University of California Transportation Center.
    11. Hosseini, Hossein Mirshojaeian & Kaneko, Shinji, 2013. "Can environmental quality spread through institutions?," Energy Policy, Elsevier, vol. 56(C), pages 312-321.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peiqi Hu & Kai Zhou & Haoxi Zhang & Zhong Ma & Jingyuan Li, 2023. "The Cause and Correlation Network of Air Pollution from a Spatial Perspective: Evidence from the Beijing–Tianjin–Hebei Region," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    2. Tayyaba Rani & Feng Wang & Fawad Rauf & Qurat ul Ain & Hamid Ali, 2023. "Linking personal remittance and fossil fuels energy consumption to environmental degradation: evidence from all SAARC countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8447-8468, August.
    3. Longwu Liang & Zhenbo Wang, 2021. "Control Models and Spatiotemporal Characteristics of Air Pollution in the Rapidly Developing Urban Agglomerations," IJERPH, MDPI, vol. 18(11), pages 1-16, June.
    4. Yuqing Geng & Mukasar Maimaituerxun & Han Zhang, 2022. "Coordinated interactions between economy and atmospheric environment: temporal–spatial comparisons from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13887-13916, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Beidi Diao & Lei Ding & Panda Su & Jinhua Cheng, 2018. "The Spatial-Temporal Characteristics and Influential Factors of NOx Emissions in China: A Spatial Econometric Analysis," IJERPH, MDPI, vol. 15(7), pages 1-19, July.
    2. Chagas, André L.S. & Azzoni, Carlos R. & Almeida, Alexandre N., 2016. "A spatial difference-in-differences analysis of the impact of sugarcane production on respiratory diseases," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 24-36.
    3. Yan Wang & Dong Yang, 2018. "Impacts of Freight Transport on PM 2.5 Concentrations in China: A Spatial Dynamic Panel Analysis," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    4. Yuping Deng & Helian Xu, 2015. "International Direct Investment and Transboundary Pollution: An Empirical Analysis of Complex Networks," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    5. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2021. "The effects of renewable energy, spatial spillover of CO2 emissions and economic freedom on CO2 emissions in the EU," Renewable Energy, Elsevier, vol. 169(C), pages 293-307.
    6. Hao, Yu & Zhang, Zong-Yong & Liao, Hua & Wei, Yi-Ming, 2015. "China’s farewell to coal: A forecast of coal consumption through 2020," Energy Policy, Elsevier, vol. 86(C), pages 444-455.
    7. Atwi, Majed & Barberán, Ramón & Mur, Jesús & Angulo, Ana, 2018. "CO2 Kuznets Curve Revisited: From Cross-Sections to Panel Data Models," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 40, pages 169-196.
    8. Lv, Zhike & Gao, Zhenya, 2021. "The effect of corruption on environmental performance: Does spatial dependence play a role?," Economic Systems, Elsevier, vol. 45(2).
    9. Kathleen P. Bell & Timothy J. Dalton, 2007. "Spatial Economic Analysis in Data‐Rich Environments," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 487-501, September.
    10. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2022. "Institutional quality and its spatial spillover effects on energy efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    11. Dekkers, J. & Koomen, E., 2008. "Valuation of open space: Hedonic house price analyses in the Dutch Randstad region," Serie Research Memoranda 0024, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    12. Xiangyu Ge & Zhimin Zhou & Yanli Zhou & Xinyue Ye & Songlin Liu, 2018. "A Spatial Panel Data Analysis of Economic Growth, Urbanization, and NO x Emissions in China," IJERPH, MDPI, vol. 15(4), pages 1-20, April.
    13. Marbuah, George & Amuakwa-Mensah, Franklin, 2017. "Spatial analysis of emissions in Sweden," Energy Economics, Elsevier, vol. 68(C), pages 383-394.
    14. Xianhua Wu & Yufeng Chen & Ji Guo & Guizhi Wang & Yeming Gong, 2017. "Spatial concentration, impact factors and prevention-control measures of PM2.5 pollution in China," 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. 86(1), pages 393-410, March.
    15. Bo Sui & Chun-Ping Chang & Yin Chu, 2021. "Political Stability: an Impetus for Spatial Environmental Spillovers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 387-415, June.
    16. Morakinyo Adetutu & Anthony Glass & Karligash Kenjegalieva & Robin Sickles, 2015. "The effects of efficiency and TFP growth on pollution in Europe: a multistage spatial analysis," Journal of Productivity Analysis, Springer, vol. 43(3), pages 307-326, June.
    17. Raymond J. G. M. Florax & Arno J. Van der Vlist, 2003. "Spatial Econometric Data Analysis: Moving Beyond Traditional Models," International Regional Science Review, , vol. 26(3), pages 223-243, July.
    18. Daisuke Ichinose & Masashi Yamamoto & Yuichiro Yoshida, 2013. "Bayesian Estimation of the Decoupling of Affluence and Waste Discharge under Spatial Correlation : Do Richer Communities Discharge More Waste?," IDEC DP2 Series 3-10, Hiroshima University, Graduate School for International Development and Cooperation (IDEC).
    19. Jiang, Lei & He, Shixiong & Zhou, Haifeng & Kong, Hao & Wang, Jionghua & Cui, Yuanzheng & Wang, Lei, 2021. "Coordination between sulfur dioxide pollution control and rapid economic growth in China: Evidence from satellite observations and spatial econometric models," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 279-291.
    20. Klaus Glenk & Robert J. Johnston & Jürgen Meyerhoff & Julian Sagebiel, 2020. "Spatial Dimensions of Stated Preference Valuation in Environmental and Resource Economics: Methods, Trends and Challenges," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(2), pages 215-242, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5610-:d:394248. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.