IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i19p7973-d419962.html
   My bibliography  Save this article

The Roles of Beijing-Tianjin-Hebei Coordinated Development Strategy in Industrial Energy and Related Pollutant Emission Intensities

Author

Listed:
  • Cong Hu

    (School of Economics and Resource Management, Beijing Normal University, Beijing 100875, China)

  • Biliang Hu

    (Emerging Markets Institute, Beijing Normal University, Beijing 100875, China
    The Belt and Road School, Beijing Normal University, Beijing 100875, China)

  • Xunpeng Shi

    (Australia-China Relations Institute, University of Technology Sydney, Sydney Ultimo, NSW 2007, Australia)

  • Yan Wu

    (School of Economics, Beijing Technology and Business University, Beijing 100048, China)

Abstract

This study investigates the different impacts of coordinated development in the Beijing–Tianjin–Hebei (BTH) region on industrial energy and pollution intensities based on the difference-in-difference (DID) method and the quantile DID method. The panel data cover industrial energy consumption and three wastes, which are industrial wastewater, sulfur dioxide, and dust emissions, from all 13 cities in the BTH region and 17 cities in Henan Province for the period 2007–2017. The study finds that China’s BTH coordinated development strategy, on average, tends to restrain regional industrial energy intensity, especially in lower quantile level (0.1–0.4) cities. However, it tends to promote industrial energy intensity in higher quantile level (0.7–0.9) cities. The impacts on pollution intensities vary among industrial wastewater, sulfur dioxide, and dust emissions. The results suggest that, in addition to paying attention to dust pollution caused by transportation integration in the BTH region, China should also pay more attention to green relocation of industries from Beijing to Hebei and strengthen coordinated environmental regulation while maintaining corporate interests.

Suggested Citation

  • Cong Hu & Biliang Hu & Xunpeng Shi & Yan Wu, 2020. "The Roles of Beijing-Tianjin-Hebei Coordinated Development Strategy in Industrial Energy and Related Pollutant Emission Intensities," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7973-:d:419962
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/19/7973/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/19/7973/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liao, Xianchun & Shi, Xunpeng (Roc), 2018. "Public appeal, environmental regulation and green investment: Evidence from China," Energy Policy, Elsevier, vol. 119(C), pages 554-562.
    2. Wang, Keying & Wu, Meng & Sun, Yongping & Shi, Xunpeng & Sun, Ao & Zhang, Ping, 2019. "Resource abundance, industrial structure, and regional carbon emissions efficiency in China," Resources Policy, Elsevier, vol. 60(C), pages 203-214.
    3. Wang, Chunyan & Li, Yaqing & Liu, Yi, 2018. "Investigation of water-energy-emission nexus of air pollution control of the coal-fired power industry: A case study of Beijing-Tianjin-Hebei region, China," Energy Policy, Elsevier, vol. 115(C), pages 291-301.
    4. Xiaoping Zhu & Rongrong Li, 2017. "An Analysis of Decoupling and Influencing Factors of Carbon Emissions from the Transportation Sector in the Beijing-Tianjin-Hebei Area, China," Sustainability, MDPI, vol. 9(5), pages 1-19, April.
    5. Huiming Zhang & Kai Wu & Yueming Qiu & Gabriel Chan & Shouyang Wang & Dequn Zhou & Xianqiang Ren, 2020. "Solar photovoltaic interventions have reduced rural poverty in China," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    6. Mielnik, Otavio & Goldemberg, Jose, 2002. "Foreign direct investment and decoupling between energy and gross domestic product in developing countries," Energy Policy, Elsevier, vol. 30(2), pages 87-89, January.
    7. Jinchao Li & Yuwei Xiang & Huanyu Jia & Lin Chen, 2018. "Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    8. Li, Na & Zhang, Xiaoling & Shi, Minjun & Hewings, Geoffrey J.D., 2019. "Does China's air pollution abatement policy matter? An assessment of the Beijing-Tianjin-Hebei region based on a multi-regional CGE model," Energy Policy, Elsevier, vol. 127(C), pages 213-227.
    9. Wang, Qiang & Lin, Jian & Zhou, Kan & Fan, Jie & Kwan, Mei-Po, 2020. "Does urbanization lead to less residential energy consumption? A comparative study of 136 countries," Energy, Elsevier, vol. 202(C).
    10. Cheong, Tsun Se & Li, Victor Jing & Shi, Xunpeng, 2019. "Regional disparity and convergence of electricity consumption in China: A distribution dynamics approach," China Economic Review, Elsevier, vol. 58(C).
    11. Simpson, R. David & Bradford, Robert III, 1996. "Taxing Variable Cost: Environmental Regulation as Industrial Policy," Journal of Environmental Economics and Management, Elsevier, vol. 30(3), pages 282-300, May.
    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. Xiaorui Guo & Lifeng Wu & Meng Wang, 2022. "Application of Grey Lotka-Volterra Model in Water-Economy-Industry-Technology Innovation System in Beijing-Tianjin-Hebei Region," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    2. Li, Yajing & Chen, Bin & Fang, Delin & Zhang, Boyu & Bai, Junhong & Liu, Gengyuan & Zhang, Yan, 2021. "Drivers of energy-related PM2.5 emissions in the Jing-Jin-Ji region between 2002 and 2015," Applied Energy, Elsevier, vol. 288(C).
    3. Ruiqi Li & Lingyun Lu & Weiwei Gu & Shaodong Ma & Gang Xu & H. Eugene Stanley, 2020. "Assessing the attraction of cities on venture capital from a scaling law perspective," Papers 2011.06287, arXiv.org.
    4. Yunfeng Shang & Yuanjie Pu & Yiting Yu & Nan Gao & Yun Lu, 2023. "Role of the e-exhibition industry in the green growth of businesses and recovery," Economic Change and Restructuring, Springer, vol. 56(3), pages 2003-2020, June.
    5. Mengyao Liu & Hongli Jiang, 2022. "Can the Energy-Consumption Permit Trading Scheme Curb SO 2 Emissions? Evidence from a Quasi-Natural Experiment in China," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    6. Mengxue Liu & Xiaobin Dong & Xuechao Wang & Bingyu Zhao & Hejie Wei & Weiguo Fan & Chenyang Zhang, 2022. "The Trade-Offs/Synergies and Their Spatial-Temporal Characteristics between Ecosystem Services and Human Well-Being Linked to Land-Use Change in the Capital Region of China," Land, MDPI, vol. 11(5), pages 1-22, May.
    7. Yong Shi & Anda Tang & Tongsheng Yao, 2022. "A Study on Inter-Provincial Environmental Pollution Movement in China Based on the Input–Output Method," Energies, MDPI, vol. 15(18), pages 1-19, September.

    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. Olimpia Neagu, 2019. "The Link between Economic Complexity and Carbon Emissions in the European Union Countries: A Model Based on the Environmental Kuznets Curve (EKC) Approach," Sustainability, MDPI, vol. 11(17), pages 1-27, August.
    2. Wang, Na & Fu, Xiaodong & Wang, Shaobin & Yang, Hao & Li, Zhen, 2022. "Convergence characteristics and distribution patterns of residential electricity consumption in China: An urban-rural gap perspective," Energy, Elsevier, vol. 254(PB).
    3. Yan Wu & Cong Hu & Xunpeng Shi, 2021. "Heterogeneous Effects of the Belt and Road Initiative on Energy Efficiency in Participating Countries," Energies, MDPI, vol. 14(18), pages 1-21, September.
    4. Ruyin Long & Qin Zhang & Hong Chen & Meifen Wu & Qianwen Li, 2020. "Measurement of the Energy Intensity of Human Well-Being and Spatial Econometric Analysis of Its Influencing Factors," IJERPH, MDPI, vol. 17(1), pages 1-21, January.
    5. Zhibo Zhao & Tian Yuan & Xunpeng Shi & Lingdi Zhao, 2020. "Heterogeneity in the relationship between carbon emission performance and urbanization: evidence from China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1363-1380, October.
    6. Li, Ge & Wen, Huwei, 2023. "The low-carbon effect of pursuing the honor of civilization? A quasi-experiment in Chinese cities," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 343-357.
    7. Shi, Xunpeng & Yu, Jian & Cheong, Tsun Se, 2020. "Convergence and distribution dynamics of energy consumption among China's households," Energy Policy, Elsevier, vol. 142(C).
    8. Qiucheng Li & Jiang Hu & Bolin Yu, 2021. "Spatiotemporal Patterns and Influencing Mechanism of Urban Residential Energy Consumption in China," Energies, MDPI, vol. 14(13), pages 1-17, June.
    9. Zheng, Yingmei & Qi, Jianhong & Chen, Xiaoliang, 2011. "The effect of increasing exports on industrial energy intensity in China," Energy Policy, Elsevier, vol. 39(5), pages 2688-2698, May.
    10. Andr, Francisco J. & Gonzlez, Paula & Porteiro, Nicols, 2009. "Strategic quality competition and the Porter Hypothesis," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 182-194, March.
    11. Karen Fisher-Vanden & Yong Hu & Gary Jefferson & Michael Rock & Michael Toman, 2016. "Factors Influencing Energy Intensity in Four Chinese Industries," The Energy Journal, , vol. 37(1_suppl), pages 153-178, January.
    12. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    13. Yuqi Su & Yi Liang & Li Chai & Zixuan Han & Sai Ma & Jiaxuan Lyu & Zhiping Li & Liu Yang, 2019. "Water Degradation by China’s Fossil Fuels Production: A Life Cycle Assessment Based on an Input–Output Model," Sustainability, MDPI, vol. 11(15), pages 1-12, July.
    14. Yu-Hong Ai & Di-Yun Peng & Huan-Huan Xiong, 2021. "Impact of Environmental Regulation Intensity on Green Technology Innovation: From the Perspective of Political and Business Connections," Sustainability, MDPI, vol. 13(9), pages 1-23, April.
    15. Adom, Philip Kofi, 2015. "Business cycle and economic-wide energy intensity: The implications for energy conservation policy in Algeria," Energy, Elsevier, vol. 88(C), pages 334-350.
    16. Perino, Grischa & Requate, Till, 2012. "Does more stringent environmental regulation induce or reduce technology adoption? When the rate of technology adoption is inverted U-shaped," Journal of Environmental Economics and Management, Elsevier, vol. 64(3), pages 456-467.
    17. Tan, Xiujie & Sun, Qian & Wang, Meiji & Se Cheong, Tsun & Yan Shum, Wai & Huang, Jinpeng, 2022. "Assessing the effects of emissions trading systems on energy consumption and energy mix," Applied Energy, Elsevier, vol. 310(C).
    18. Zhipeng Yu & Yi Liu & Taihua Yan & Ming Zhang, 2024. "Carbon emission efficiency in the age of digital economy: New insights on green technology progress and industrial structure distortion," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4039-4057, July.
    19. Claudia Ranocchia & Luca Lambertini, 2021. "Porter Hypothesis vs Pollution Haven Hypothesis: Can There Be Environmental Policies Getting Two Eggs in One Basket?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 177-199, January.
    20. Mukhtarov, Shahriyar & Yüksel, Serhat & Dinçer, Hasan, 2022. "The impact of financial development on renewable energy consumption: Evidence from Turkey," Renewable Energy, Elsevier, vol. 187(C), pages 169-176.

    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:jsusta:v:12:y:2020:i:19:p:7973-:d:419962. 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.