IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i11p2171-d237738.html
   My bibliography  Save this article

Spatiotemporal Patterns and Decomposition Analysis of CO 2 Emissions from Transportation in the Pearl River Delta

Author

Listed:
  • Xiaoshu Cao

    (Shool of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China
    These authors contributed equally to this work.)

  • Shishu OuYang

    (Shool of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China
    These authors contributed equally to this work.)

  • Dan Liu

    (Shool of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China)

  • Wenyue Yang

    (College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China)

Abstract

Controlling and mitigating CO 2 emissions is a challenge for the global environment. Furthermore, transportation is one of the major sources of energy consumption and air pollution emissions. For this reason, this paper estimated CO 2 emissions by the bottom-up method, and presented spatiotemporal patterns by spatial autocorrelation methods from transportation during the period 2006 to 2016. It further analyzed the impact factors of CO 2 emissions in the Pearl River Delta by the Logarithmic Mean Divisa Index (LMDI)decomposition method. The results indicated that from 2006 to 2016, total CO 2 emissions increased year by year. Guangzhou and Shenzhen were the major contributors to regional transportation CO 2 emissions. From the perspective of different transport modes, intercity passenger transport and freight transport have always been dominant in the past 11 years. The results indicated that aviation transport was the largest contributor, and that travel by road was the second one. The CO 2 emissions generated by rail and water transport were much lower than those from aviation. Private cars became the main source of urban passenger transport CO 2 emissions, and their advantages kept increasing. The results indicated that the spatial agglomeration trend feature was negatively correlated, and the further the distance, the more similar the attributes. The cumulative contribution values of population, economic development, transport intensity, energy intensity and energy structure were all positive values, while the cumulative contribution values of transport structure and emission factor were negative. The findings of this study offer help for the scientific understanding of those CO 2 emissions from transportation, and for adopting effective measures to reduce CO 2 emissions and for the development of green transportation.

Suggested Citation

  • Xiaoshu Cao & Shishu OuYang & Dan Liu & Wenyue Yang, 2019. "Spatiotemporal Patterns and Decomposition Analysis of CO 2 Emissions from Transportation in the Pearl River Delta," Energies, MDPI, vol. 12(11), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2171-:d:237738
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/11/2171/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/11/2171/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Hao, Han & Geng, Yong & Wang, Hewu & Ouyang, Minggao, 2014. "Regional disparity of urban passenger transport associated GHG (greenhouse gas) emissions in China: A review," Energy, Elsevier, vol. 68(C), pages 783-793.
    3. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    4. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Transport sector CO2 emissions growth in Asia: Underlying factors and policy options," Energy Policy, Elsevier, vol. 37(11), pages 4523-4539, November.
    5. Zheng, Bo & Zhang, Qiang & Borken-Kleefeld, Jens & Huo, Hong & Guan, Dabo & Klimont, Zbigniew & Peters, Glen P. & He, Kebin, 2015. "How will greenhouse gas emissions from motor vehicles be constrained in China around 2030?," Applied Energy, Elsevier, vol. 156(C), pages 230-240.
    6. Rentziou, Aikaterini & Gkritza, Konstantina & Souleyrette, Reginald R., 2012. "VMT, energy consumption, and GHG emissions forecasting for passenger transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 487-500.
    7. Loo, Becky P.Y. & Li, Linna, 2012. "Carbon dioxide emissions from passenger transport in China since 1949: Implications for developing sustainable transport," Energy Policy, Elsevier, vol. 50(C), pages 464-476.
    8. Lipscy, Phillip Y. & Schipper, Lee, 2013. "Energy efficiency in the Japanese transport sector," Energy Policy, Elsevier, vol. 56(C), pages 248-258.
    9. Wang, W.W. & Zhang, M. & Zhou, M., 2011. "Using LMDI method to analyze transport sector CO2 emissions in China," Energy, Elsevier, vol. 36(10), pages 5909-5915.
    10. Pongthanaisawan, Jakapong & Sorapipatana, Chumnong, 2013. "Greenhouse gas emissions from Thailand’s transport sector: Trends and mitigation options," Applied Energy, Elsevier, vol. 101(C), pages 288-298.
    11. Li, Hongqi & Lu, Yue & Zhang, Jun & Wang, Tianyi, 2013. "Trends in road freight transportation carbon dioxide emissions and policies in China," Energy Policy, Elsevier, vol. 57(C), pages 99-106.
    12. Liu, Yang & Wang, Yu & Huo, Hong, 2013. "Temporal and spatial variations in on-road energy use and CO2 emissions in China, 1978–2008," Energy Policy, Elsevier, vol. 61(C), pages 544-550.
    13. Lu, I.J. & Lin, Sue J. & Lewis, Charles, 2007. "Decomposition and decoupling effects of carbon dioxide emission from highway transportation in Taiwan, Germany, Japan and South Korea," Energy Policy, Elsevier, vol. 35(6), pages 3226-3235, June.
    14. Huo, Hong & Zhang, Qiang & He, Kebin & Yao, Zhiliang & Wang, Michael, 2012. "Vehicle-use intensity in China: Current status and future trend," Energy Policy, Elsevier, vol. 43(C), pages 6-16.
    15. Timilsina, Govinda R. & Shrestha, Ashish, 2009. "Why have CO2 emissions increased in the transport sector in Asia ? underlying factors and policy options," Policy Research Working Paper Series 5098, The World Bank.
    16. González, Rosa Marina & Marrero, Gustavo A., 2012. "The effect of dieselization in passenger cars emissions for Spanish regions: 1998–2006," Energy Policy, Elsevier, vol. 51(C), pages 213-222.
    17. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    18. Mazzarino, Marco, 2000. "The economics of the greenhouse effect: evaluating the climate change impact due to the transport sector in Italy," Energy Policy, Elsevier, vol. 28(13), pages 957-966, November.
    19. Andreoni, V. & Galmarini, S., 2012. "European CO2 emission trends: A decomposition analysis for water and aviation transport sectors," Energy, Elsevier, vol. 45(1), pages 595-602.
    20. Zhang, Ming & Mu, Hailin & Ning, Yadong & Song, Yongchen, 2009. "Decomposition of energy-related CO2 emission over 1991-2006 in China," Ecological Economics, Elsevier, vol. 68(7), pages 2122-2128, 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. Andrii Galkin & Tibor Schlosser & Yuliia Khvesyk & Olexiy Kuzkin & Yuriy Klapkiv & Gabriel Balint, 2022. "Development of Generalized Distribution Utility Index in Consumer-Driven Logistics," Energies, MDPI, vol. 15(3), pages 1-19, January.

    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. Zhang, Chuanguo & Nian, Jiang, 2013. "Panel estimation for transport sector CO2 emissions and its affecting factors: A regional analysis in China," Energy Policy, Elsevier, vol. 63(C), pages 918-926.
    2. Sobrino, Natalia & Monzon, Andres, 2014. "The impact of the economic crisis and policy actions on GHG emissions from road transport in Spain," Energy Policy, Elsevier, vol. 74(C), pages 486-498.
    3. Zhao Liu & Ling Li & Yue-Jun Zhang, 2015. "Investigating the CO 2 emission differences among China’s transport sectors and their influencing factors," 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. 77(2), pages 1323-1343, June.
    4. Linna Li, 2019. "Structure and influencing factors of CO2 emissions from transport sector in three major metropolitan regions of China: estimation and decomposition," Transportation, Springer, vol. 46(4), pages 1245-1269, August.
    5. Liu, Hongwei & Wu, Jie & Chu, Junfei, 2019. "Environmental efficiency and technological progress of transportation industry-based on large scale data," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 475-482.
    6. Geoffrey Udoka Nnadiri & Anthony S. F. Chiu & Jose Bienvenido Manuel Biona & Neil Stephen Lopez, 2021. "Comparison of Driving Forces to Increasing Traffic Flow and Transport Emissions in Philippine Regions: A Spatial Decomposition Study," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
    7. Jaewon Lim & DooHwan Won, 2019. "Impact of CARB’s Tailpipe Emission Standard Policy on CO 2 Reduction among the U.S. States," Sustainability, MDPI, vol. 11(4), pages 1-15, February.
    8. Luo, Xiao & Dong, Liang & Dou, Yi & Liang, Hanwei & Ren, Jingzheng & Fang, Kai, 2016. "Regional disparity analysis of Chinese freight transport CO2 emissions from 1990 to 2007: Driving forces and policy challenges," Journal of Transport Geography, Elsevier, vol. 56(C), pages 1-14.
    9. Lilis Yuaningsih & R. Adjeng Mariana Febrianti & Munawar Javed Ahmad, 2021. "Examining the Factors Affecting CO2 Emissions from Road Transportation in Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 152-159.
    10. Xu, X.Y. & Ang, B.W., 2013. "Index decomposition analysis applied to CO2 emission studies," Ecological Economics, Elsevier, vol. 93(C), pages 313-329.
    11. Wang, Zhaohua & Liu, Wei, 2015. "Determinants of CO2 emissions from household daily travel in Beijing, China: Individual travel characteristic perspectives," Applied Energy, Elsevier, vol. 158(C), pages 292-299.
    12. GUPTA Monika & SINGH Sanjay, 2016. "Factorizing The Changes In Co2 Emissions From Indian Road Passenger Transport: A Decomposition Analysis," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 11(3), pages 67-83, December.
    13. Isik, Mine & Sarica, Kemal & Ari, Izzet, 2020. "Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach," Transport Policy, Elsevier, vol. 97(C), pages 210-219.
    14. Shiraki, Hiroto & Matsumoto, Ken'ichi & Shigetomi, Yosuke & Ehara, Tomoki & Ochi, Yuki & Ogawa, Yuki, 2020. "Factors affecting CO2 emissions from private automobiles in Japan: The impact of vehicle occupancy," Applied Energy, Elsevier, vol. 259(C).
    15. Liu, Xiao & Zhou, Dequn & Zhou, Peng & Wang, Qunwei, 2017. "What drives CO2 emissions from China’s civil aviation? An exploration using a new generalized PDA method," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 30-45.
    16. Robaina, Margarita & Neves, Ana, 2021. "Complete decomposition analysis of CO2 emissions intensity in the transport sector in Europe," Research in Transportation Economics, Elsevier, vol. 90(C).
    17. Zhang, Ming & Li, Huanan & Zhou, Min & Mu, Hailin, 2011. "Decomposition analysis of energy consumption in Chinese transportation sector," Applied Energy, Elsevier, vol. 88(6), pages 2279-2285, June.
    18. Wang, Bo & Sun, Yefei & Chen, Qingxiang & Wang, Zhaohua, 2018. "Determinants analysis of carbon dioxide emissions in passenger and freight transportation sectors in China," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 127-132.
    19. Achour, Houda & Belloumi, Mounir, 2016. "Decomposing the influencing factors of energy consumption in Tunisian transportation sector using the LMDI method," Transport Policy, Elsevier, vol. 52(C), pages 64-71.
    20. Suyi Kim, 2019. "Decomposition Analysis of Greenhouse Gas Emissions in Korea’s Transportation Sector," Sustainability, MDPI, vol. 11(7), pages 1-16, April.

    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:jeners:v:12:y:2019:i:11:p:2171-:d:237738. 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.