IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i17p4590-d260440.html
   My bibliography  Save this article

Spatial Heterogeneity of the Carbon Emission Effect Resulting from Urban Expansion among Three Coastal Agglomerations in China

Author

Listed:
  • Jiqun Wen

    (School of Public Management, Guangdong University of Finance & Economics, Guangzhou 510320, China)

  • Xiaowei Chuai

    (School of Geography & Ocean Sciences, Nanjing University, Nanjing 210023, China)

  • Shanchi Li

    (Beijing GEOWAY Software Co., Ltd., Beijing 100043, China)

  • Song Song

    (School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China)

  • Yuanwei Li

    (School of Public Management, Guangdong University of Finance & Economics, Guangzhou 510320, China)

  • Mengjie Wang

    (School of Public Management, Guangdong University of Finance & Economics, Guangzhou 510320, China)

  • Shuosheng Wu

    (School of Public Management, Guangdong University of Finance & Economics, Guangzhou 510320, China)

Abstract

Land-use change, particularly urban expansion, can greatly affect the carbon balance, both from the aspects of terrestrial ecosystems and anthropogenic carbon emissions. Coastal China is a typical region of rapid urban expansion, and obvious spatial heterogeneity exists from the north to south. However, the different urban change characteristics and the effect on carbon balance remain undetermined. By unifying the spatial-temporal resolution of carbon source and sink data, we effectively compared the carbon budgets of three coastal urban agglomerations in China. The results show that all of the three urban agglomerations have undergone an obvious urban expansion process, with the built-up area increasing from 1.03 × 10 4 km 2 in 2000 to 3.06 × 10 4 km 2 in 2013. For Beijing–Tianjin–Hebei (BTH), the built-up area gradually expanded. The built-up area in the Yangtze River Delta (YRD) gradually changed before 2007 but rapidly grew thereafter. The built-up expansion of the Pearl River Delta (PRD) passed through three growing stages and showed the largest mean patch size. Carbon emission spatial patterns in the three urban agglomerations are consistent with their economic development, from which the net ecosystem production (NEP) spatial patterns are very different. Compared to carbon emissions, NEP has a carbon sink effect and can absorb some carbon emissions, but the amounts were all much lower than the carbon emissions in the three urban agglomerations. The carbon sink effect in the Yangtze River Delta is the most obvious, with the Pearl River Delta following, and the lowest effect is in Beijing–Tianjin–Hebei. Finally, a scientific basis for policy-making is provided for viable CO 2 emission mitigation policies.

Suggested Citation

  • Jiqun Wen & Xiaowei Chuai & Shanchi Li & Song Song & Yuanwei Li & Mengjie Wang & Shuosheng Wu, 2019. "Spatial Heterogeneity of the Carbon Emission Effect Resulting from Urban Expansion among Three Coastal Agglomerations in China," Sustainability, MDPI, vol. 11(17), pages 1-20, August.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:17:p:4590-:d:260440
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/17/4590/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/17/4590/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chang, Ching-Chih, 2010. "A multivariate causality test of carbon dioxide emissions, energy consumption and economic growth in China," Applied Energy, Elsevier, vol. 87(11), pages 3533-3537, November.
    2. Shahbaz, Muhammad & Hye, Qazi Muhammad Adnan & Tiwari, Aviral Kumar & Leitão, Nuno Carlos, 2013. "Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 109-121.
    3. Rahman, Mohammad Mafizur & Kashem, Mohammad Abul, 2017. "Carbon emissions, energy consumption and industrial growth in Bangladesh: Empirical evidence from ARDL cointegration and Granger causality analysis," Energy Policy, Elsevier, vol. 110(C), pages 600-608.
    4. Shahzad, Syed Jawad Hussain & Kumar, Ronald Ravinesh & Zakaria, Muhammad & Hurr, Maryam, 2017. "Carbon emission, energy consumption, trade openness and financial development in Pakistan: A revisit," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 185-192.
    5. Abdullah Alam, 2013. "Nuclear energy, CO2 emissions and economic growth: The case of developing and developed countries," Journal of Economic Studies, Emerald Group Publishing, vol. 40(6), pages 822 - 834, November.
    6. Guo, Z.C. & Fu, Z.X., 2010. "Current situation of energy consumption and measures taken for energy saving in the iron and steel industry in China," Energy, Elsevier, vol. 35(11), pages 4356-4360.
    7. Abdullah Alam, 2013. "Nuclear energy, CO2emissions and economic growth," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 40(6), pages 822-834, October.
    8. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
    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. Miaoxi Zhao & Gaofeng Xu & Martin de Jong & Xinjian Li & Pingcheng Zhang, 2020. "Examining the Density and Diversity of Human Activity in the Built Environment: The Case of the Pearl River Delta, China," Sustainability, MDPI, vol. 12(9), pages 1-21, May.
    2. Luo, Haizhi & Zhang, Yiwen & Gao, Xinyu & Liu, Zhengguang & Song, Xia & Meng, Xiangzhao & Yang, Xiaohu, 2024. "Unveiling land use-carbon Nexus: Spatial matrix-enhanced neural network for predicting commercial and residential carbon emissions," Energy, Elsevier, vol. 305(C).

    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. Manal Ayyad Dhif Alshammry & Saqib Muneer, 2023. "The influence of economic development, capital formation, and internet use on environmental degradation in Saudi Arabia," Future Business Journal, Springer, vol. 9(1), pages 1-16, December.
    2. Rauf, Abdul & Zhang, Jin & Li, Jinkai & Amin, Waqas, 2018. "Structural changes, energy consumption and carbon emissions in China: Empirical evidence from ARDL bound testing model," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 194-206.
    3. Fei Yang & Chunchen Wang, 2023. "Clean energy, emission trading policy, and CO2 emissions: Evidence from China," Energy & Environment, , vol. 34(5), pages 1657-1673, August.
    4. Ajayi, Patricia & Ogunrinola, Adedeji, 2020. "Growth, Trade Openness and Environmental Degradation in Nigeria," MPRA Paper 100713, University Library of Munich, Germany.
    5. Ouyang, Xiaoling & Lin, Boqiang, 2015. "An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 838-849.
    6. Yu, Shiwei & Wei, Yi-Ming & Guo, Haixiang & Ding, Liping, 2014. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," Applied Energy, Elsevier, vol. 114(C), pages 290-300.
    7. Dong Jichang & He Jing & Li Xiuting & Mou Xindi & Dong Zhi, 2020. "The Effect of Industrial Structure Change on Carbon Dioxide Emissions: A Cross-Country Panel Analysis," Journal of Systems Science and Information, De Gruyter, vol. 8(1), pages 1-16, February.
    8. Zhu, Zhi-Shuang & Liao, Hua & Cao, Huai-Shu & Wang, Lu & Wei, Yi-Ming & Yan, Jinyue, 2014. "The differences of carbon intensity reduction rate across 89 countries in recent three decades," Applied Energy, Elsevier, vol. 113(C), pages 808-815.
    9. Durusu-Ciftci, Dilek & Soytas, Ugur & Nazlioglu, Saban, 2020. "Financial development and energy consumption in emerging markets: Smooth structural shifts and causal linkages," Energy Economics, Elsevier, vol. 87(C).
    10. Xiaoxia Shi & Haiyun Liu & Joshua Sunday Riti, 2019. "The role of energy mix and financial development in greenhouse gas (GHG) emissions’ reduction: evidence from ten leading CO2 emitting countries," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(3), pages 695-729, October.
    11. Chun Chih Chen, 2021. "The path to a 2025 nuclear-free Taiwan: An analysis of dynamic competition among emissions, energy, and economy," Energy & Environment, , vol. 32(4), pages 668-689, June.
    12. Tian, Lixin & Jin, Rulei, 2012. "Theoretical exploration of carbon emissions dynamic evolutionary system and evolutionary scenario analysis," Energy, Elsevier, vol. 40(1), pages 376-386.
    13. Shahbaz, Muhammad & Farhani, Sahbi & Ozturk, Ilhan, 2013. "Coal Consumption, Industrial Production and CO2 Emissions in China and India," MPRA Paper 50618, University Library of Munich, Germany, revised 12 Oct 2013.
    14. Shahbaz, Muhammad & Sharma, Rajesh & Sinha, Avik & Jiao, Zhilun, 2021. "Analyzing nonlinear impact of economic growth drivers on CO2 emissions: Designing an SDG framework for India," Energy Policy, Elsevier, vol. 148(PB).
    15. Lilis Yuaningsih & R. Adjeng Mariana Febrianti & Hafiz Waqas Kamran, 2021. "Climate Change and Energy Consumption Patterns in Thailand: Time Trends During 1988-2013," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 571-576.
    16. Aida Sy & Tony Tinker & Abdelkader Derbali & Lamia Jamel, 2016. "Economic growth, financial development, trade openness, and CO 2 emissions in European countries," African Journal of Accounting, Auditing and Finance, Inderscience Enterprises Ltd, vol. 5(2), pages 155-179.
    17. Rahman, Mohammad Mafizur & Alam, Khosrul, 2022. "Impact of industrialization and non-renewable energy on environmental pollution in Australia: Do renewable energy and financial development play a mitigating role?," Renewable Energy, Elsevier, vol. 195(C), pages 203-213.
    18. Ouarda Belkacem Layachi, 2019. "Effects of Energy Prices on Environmental Pollution: Testing Environmental Kuznets Curve for Algeria," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 401-408.
    19. Amjad Ali & Marc Audi & Ismail Senturk & Yannick Roussel, 2022. "Do Sectoral Growth Promote CO2 Emissions in Pakistan? Time Series Analysis in Presence of Structural Break," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 410-425, March.
    20. Khan, Muhammad Tariq Iqbal & Yaseen, Muhammad Rizwan & Ali, Qamar, 2019. "Nexus between financial development, tourism, renewable energy, and greenhouse gas emission in high-income countries: A continent-wise analysis," Energy Economics, Elsevier, vol. 83(C), pages 293-310.

    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:11:y:2019:i:17:p:4590-:d:260440. 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.