IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i19p12884-d936405.html
   My bibliography  Save this article

Spatiotemporal Variations of Carbon Emissions and Their Driving Factors in the Yellow River Basin

Author

Listed:
  • Shiqing Wang

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Piling Sun

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China
    College of Land Science and Technology, China Agriculture University, Beijing 100193, China
    RiZhao Key Laboratory of Territory Spatial Planning and Ecological Construction, Rizhao 276826, China)

  • Huiying Sun

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Qingguo Liu

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Shuo Liu

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Da Lu

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

Abstract

The Yellow River Basin (YRB) is a significant area of economic development and ecological protection in China. Scientifically clarifying the spatiotemporal patterns of carbon emissions and their driving factors is of great significance. Using the methods of spatial autocorrelation analysis, hot-spot analysis, and a geodetector, the analysis framework of spatiotemporal differentiation and the driving factors of carbon emissions in the YRB was constructed in this paper from three aspects: natural environment, social economy, and regional policy. Three main results were found: (1) The carbon emissions in the YRB increased gradually from 2000 to 2020, and the growth rates of carbon emissions in the different river reaches were upper reaches > middle reaches > lower reaches. (2) Carbon emissions have an obvious spatial clustering character from 2000–2020, when hot spots were concentrated in the transition area from the Inner Mongolia Plateau to the Loess Plateau. The cold spots of carbon emissions tended to be concentrated in the junction area of Qinghai, Gansu, and Shaanxi. (3) From 2000 to 2020, the driving factors of spatial differentiation of carbon emissions in the YRB and its different reaches tended to be diversified, so the impacts of socioeconomic factors increased, while the impacts of natural environmental factors decreased. The influence of the interactions of each driving factor showed double factor enhancement and nonlinear enhancement. This study will provide a scientific reference for green and low-carbon development, emphasizing the need to pay more attention to environmental protection, develop the green economy vigorously, and promote the economic cycle, so as to achieve green development and reduce carbon emissions.

Suggested Citation

  • Shiqing Wang & Piling Sun & Huiying Sun & Qingguo Liu & Shuo Liu & Da Lu, 2022. "Spatiotemporal Variations of Carbon Emissions and Their Driving Factors in the Yellow River Basin," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12884-:d:936405
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/19/12884/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/19/12884/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Murshed, Muntasir & Saboori, Behnaz & Madaleno, Mara & Wang, Hong & Doğan, Buhari, 2022. "Exploring the nexuses between nuclear energy, renewable energy, and carbon dioxide emissions: The role of economic complexity in the G7 countries," Renewable Energy, Elsevier, vol. 190(C), pages 664-674.
    2. Margreet J. E. Marle & Dave Wees & Richard A. Houghton & Robert D. Field & Jan Verbesselt & Guido. R. Werf, 2022. "RETRACTED ARTICLE: New land-use-change emissions indicate a declining CO2 airborne fraction," Nature, Nature, vol. 603(7901), pages 450-454, March.
    3. Gao, Cuixia & Tao, Simin & He, Yuyang & Su, Bin & Sun, Mei & Mensah, Isaac Adjei, 2021. "Effect of population migration on spatial carbon emission transfers in China," Energy Policy, Elsevier, vol. 156(C).
    4. Sufyanullah, Khan & Ahmad, Khan Arshad & Sufyan Ali, Muhammad Abu, 2022. "Does emission of carbon dioxide is impacted by urbanization? An empirical study of urbanization, energy consumption, economic growth and carbon emissions - Using ARDL bound testing approach," Energy Policy, Elsevier, vol. 164(C).
    5. Karmellos, M. & Kosmadakis, V. & Dimas, P. & Tsakanikas, A. & Fylaktos, N. & Taliotis, C. & Zachariadis, T., 2021. "A decomposition and decoupling analysis of carbon dioxide emissions from electricity generation: Evidence from the EU-27 and the UK," Energy, Elsevier, vol. 231(C).
    6. Wu, Rong & Wang, Jieyu & Wang, Shaojian & Feng, Kuishuang, 2021. "The drivers of declining CO2 emissions trends in developed nations using an extended STIRPAT model: A historical and prospective analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    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. Zhenhua Xu & Fuyi Ci, 2023. "Spatial-Temporal Characteristics and Driving Factors of Coupling Coordination between the Digital Economy and Low-Carbon Development in the Yellow River Basin," Sustainability, MDPI, vol. 15(3), pages 1-23, February.
    2. Jiamin Ren & Chenrouyu Zheng & Fuyou Guo & Hongbo Zhao & Shuang Ma & Yu Cheng, 2022. "Spatial Differentiation of Digital Rural Development and Influencing Factors in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(23), pages 1-16, 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. Wang, Qiang & Wang, Lili & Li, Rongrong, 2023. "Could trade protectionism reshape the nexus of energy-economy-environment? Insight from different income groups," Resources Policy, Elsevier, vol. 85(PA).
    2. Li, Jianglong & Sun, Shiqiang & Sharma, Disha & Ho, Mun Sing & Liu, Hongxun, 2023. "Tracking the drivers of global greenhouse gas emissions with spillover effects in the post-financial crisis era," Energy Policy, Elsevier, vol. 174(C).
    3. Ran Yu & Zhangchi Wang & Yan Li & Zuhui Wen & Weijia Wang, 2023. "Does Population Aging Affect Carbon Emission Intensity by Regulating Labor Allocation?," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    4. Song Wang & Yixiao Wang & Chenxin Zhou & Xueli Wang, 2022. "Projections in Various Scenarios and the Impact of Economy, Population, and Technology for Regional Emission Peak and Carbon Neutrality in China," IJERPH, MDPI, vol. 19(19), pages 1-31, September.
    5. Li, Songran & Shao, Qinglong, 2022. "Greening the finance for climate mitigation: An ARDL–ECM approach," Renewable Energy, Elsevier, vol. 199(C), pages 1469-1481.
    6. Mehmet Balcilar & Daberechi Chikezie Ekwueme & Hakki Ciftci, 2023. "Assessing the Effects of Natural Resource Extraction on Carbon Emissions and Energy Consumption in Sub-Saharan Africa: A STIRPAT Model Approach," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
    7. Kartal, Mustafa Tevfik & Ghosh, Sudeshna & Adebayo, Tomiwa Sunday, 2023. "Renewable energy effect on economy and environment: The case of G7 countries through novel bootstrap rolling window approach," Renewable Energy, Elsevier, vol. 216(C).
    8. Ozdemir, Ali Can & Buluş, Kurtuluş & Zor, Kasım, 2022. "Medium- to long-term nickel price forecasting using LSTM and GRU networks," Resources Policy, Elsevier, vol. 78(C).
    9. Bu, Yan & Wang, Erda & Möst, Dominik & Lieberwirth, Martin, 2022. "How population migration affects carbon emissions in China: Factual and counterfactual scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    10. Jiang, Kai & Yan, Xiaohe & Liu, Nian & Wang, Peng, 2022. "Energy trade-offs in coupled ICM and electricity market under dynamic carbon emission intensity," Energy, Elsevier, vol. 260(C).
    11. Wang, Zhen & Hu, Difei & Sami, Fariha & Uktamov, Khusniddin Fakhriddinovich, 2023. "Revisiting China's natural resources-growth-emissions nexus: Education expenditures and renewable energy innovation," Resources Policy, Elsevier, vol. 85(PA).
    12. Kui Liu & Jian Wang & Xiang Kang & Jingming Liu & Zheyi Xia & Kai Du & Xuexin Zhu, 2022. "Spatio-Temporal Analysis of Population-Land-Economic Urbanization and Its Impact on Urban Carbon Emissions in Shandong Province, China," Land, MDPI, vol. 11(2), pages 1-20, February.
    13. Zhenfen Wu & Zhe Wang & Qiliang Yang & Changyun Li, 2024. "Prediction Model of Electric Power Carbon Emissions Based on Extended System Dynamics," Energies, MDPI, vol. 17(2), pages 1-22, January.
    14. Hui Li & Yanan Zheng & Guan Gong & Hongtao Guo, 2023. "A Simulation Study on Peak Carbon Emission of Public Buildings—In the Case of Henan Province, China," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    15. Yunlong Liu & Leiyu Chen & Chengfeng Huang, 2022. "Study on the Carbon Emission Spillover Effects of Transportation under Technological Advancements," Sustainability, MDPI, vol. 14(17), pages 1-13, August.
    16. Yang, Yi & Yuan, Zhuqing & Yang, Shengnan, 2022. "Difference in the drivers of industrial carbon emission costs determines the diverse policies in middle-income regions: A case of northwestern China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    17. Li, Sisi & Khan, Sufyan Ullah & Yao, Yao & Chen, George S. & Zhang, Lin & Salim, Ruhul & Huo, Jiaying, 2022. "Estimating the long-run crude oil demand function of China: Some new evidence and policy options," Energy Policy, Elsevier, vol. 170(C).
    18. Yue Dou & Muhammad Shahbaz & Kangyin Dong & Xiucheng Dong, 2022. "How natural disasters affect carbon emissions: the global case," 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. 113(3), pages 1875-1901, September.
    19. Min Wang & Kongtao Qin & Yanhong Jia & Xiaohan Yuan & Shuqi Yang, 2022. "Land Use Transition and Eco-Environmental Effects in Karst Mountain Area Based on Production-Living-Ecological Space: A Case Study of Longlin Multinational Autonomous County, Southwest China," IJERPH, MDPI, vol. 19(13), pages 1-23, June.
    20. Shujaat Abbas & Muhammad Ibrahim Shah & Avik Sinha & Olohunlana Aminat Olayinka, 2023. "A Gender Differentiated Analysis of Healthy Life Expectancy in South Asia: The Role of Greenhouse Gas Emission," Evaluation Review, , vol. 47(6), pages 1066-1106, December.

    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:19:y:2022:i:19:p:12884-:d:936405. 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.