IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i7p3623-d527456.html
   My bibliography  Save this article

Examining the Effects of Land Use on Carbon Emissions: Evidence from Pearl River Delta

Author

Listed:
  • Yabo Zhao

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China)

  • Shifa Ma

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China)

  • Jianhong Fan

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China)

  • Yunnan Cai

    (School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China)

Abstract

Land-use change accounts for a large proportion of the carbon emissions produced each year, especially in highly developed urban agglomerations. In this study, we combined remote sensing data and socioeconomic data to estimate land-use-related carbon emissions, and applied the logarithmic mean Divisia index (LMDI) method to analyze its influencing factors, in the Pearl River Delta (PRD) of China in 1990–2015. The main conclusions are as follows: (1) The total amount of land-use-related carbon emissions increased from 684.84 × 10 4 t C in 1990 to 11,444.98 × 10 4 t C in 2015, resulting in a net increase of 10,760.14 × 10 4 t (16.71 times). (2) Land-use-related carbon emissions presented a “higher in the middle and lower on both sides” spatial distribution. Guangzhou had the highest levels of carbon emissions, and Zhaoqing had the lowest; Shenzhen experienced the greatest net increase, and Jiangmen experienced the least. (3) The land-use-related carbon emissions intensity increased from 4795.76 × 10 4 Yuan/t C to 12,143.05 × 10 4 Yuan/t C in 1990–2015, with the greatest increase seen in Huizhou and the lowest in Zhongshan. Differences were also found in the spatial distribution, with higher intensities located in the south, lower intensities in the east and west, and medium intensities in the central region. (4) Land-use change, energy structure, energy efficiency, economic development, and population all contributed to increases in land-use-related carbon emissions. Land-use change, economic development and population made positive contributions, while energy efficiency and energy structure made negative contributions. At last, we put forward several suggestions for promoting low-carbon development, including development of a low-carbon and circular economy, rationally planning land-use structure, promoting reasonable population growth, improving energy efficiency and the energy consumption structure, and advocating low-carbon lifestyles. Our findings are useful in the tasks related to assessing carbon emissions from the perspective of land-use change and analyzing the associated influencing factors, as well as providing a reference for realizing low-carbon and sustainable development in the PRD.

Suggested Citation

  • Yabo Zhao & Shifa Ma & Jianhong Fan & Yunnan Cai, 2021. "Examining the Effects of Land Use on Carbon Emissions: Evidence from Pearl River Delta," IJERPH, MDPI, vol. 18(7), pages 1-19, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:7:p:3623-:d:527456
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/7/3623/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/7/3623/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach," Energy, Elsevier, vol. 73(C), pages 741-750.
    2. Adnan, Mohammed Sarfaraz Gani & Abdullah, Abu Yousuf Md & Dewan, Ashraf & Hall, Jim W., 2020. "The effects of changing land use and flood hazard on poverty in coastal Bangladesh," Land Use Policy, Elsevier, vol. 99(C).
    3. Alexander Popp & Florian Humpenöder & Isabelle Weindl & Benjamin Leon Bodirsky & Markus Bonsch & Hermann Lotze-Campen & Christoph Müller & Anne Biewald & Susanne Rolinski & Miodrag Stevanovic & Jan Ph, 2014. "Land-use protection for climate change mitigation," Nature Climate Change, Nature, vol. 4(12), pages 1095-1098, December.
    4. Lina Liu & Jiansheng Qu & Tek Narayan Maraseni & Yibo Niu & Jingjing Zeng & Lihua Zhang & Li Xu, 2020. "Household CO 2 Emissions: Current Status and Future Perspectives," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
    5. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    6. De Oliveira-De Jesus, Paulo M., 2019. "Effect of generation capacity factors on carbon emission intensity of electricity of Latin America & the Caribbean, a temporal IDA-LMDI analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 516-526.
    7. Zhaosu Meng & Huan Wang & Baona Wang, 2018. "Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China," IJERPH, MDPI, vol. 15(11), pages 1-15, November.
    8. Wang, Shaojian & Zeng, Jingyuan & Huang, Yongyuan & Shi, Chenyi & Zhan, Peiyu, 2018. "The effects of urbanization on CO2 emissions in the Pearl River Delta: A comprehensive assessment and panel data analysis," Applied Energy, Elsevier, vol. 228(C), pages 1693-1706.
    9. Timothy D. Searchinger & Stefan Wirsenius & Tim Beringer & Patrice Dumas, 2018. "Assessing the efficiency of changes in land use for mitigating climate change," Nature, Nature, vol. 564(7735), pages 249-253, December.
    10. Wu, Lifeng & Liu, Sifeng & Liu, Dinglin & Fang, Zhigeng & Xu, Haiyan, 2015. "Modelling and forecasting CO2 emissions in the BRICS (Brazil, Russia, India, China, and South Africa) countries using a novel multi-variable grey model," Energy, Elsevier, vol. 79(C), pages 489-495.
    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. Mengcheng Li & Haimeng Liu & Shangkun Yu & Jianshi Wang & Yi Miao & Chengxin Wang, 2022. "Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China," IJERPH, MDPI, vol. 19(15), pages 1-26, July.
    2. Bo Chen & Meiqi Zhang & Rui Yang & Wenling Tang, 2023. "Spatiotemporal Variations in the Carbon Sequestration Capacity of Plateau Lake Wetlands Regulated by Land Use Control under Policy Guidance," Land, MDPI, vol. 12(9), pages 1-21, August.
    3. Linhe Chen & Yanhong Hang & Quanfeng Li, 2023. "Spatial-Temporal Characteristics and Influencing Factors of Carbon Emissions from Land Use and Land Cover in Black Soil Region of Northeast China Based on LMDI Simulation," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    4. Jiaying Peng & Yuhang Zheng & Cenjie Liu, 2022. "The Impact of Urban Construction Land Use Change on Carbon Emissions: Evidence from the China Land Market in 2000–2019," Land, MDPI, vol. 11(9), pages 1-19, August.
    5. Qingquan Jiang & Jinhuang Lin & Qianqian Wei & Rui Zhang & Hongzhen Fu, 2023. "Demystifying the Economic Growth and CO 2 Nexus in Fujian’s Key Industries Based on Decoupling and LMDI Model," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    6. Yabo Zhao & Ruiyang Chen & Tong Sun & Ying Yang & Shifa Ma & Dixiang Xie & Xiwen Zhang & Yunnan Cai, 2022. "Urbanization Influences CO 2 Emissions in the Pearl River Delta: A Perspective of the “Space of Flows”," Land, MDPI, vol. 11(8), pages 1-21, August.
    7. Jie He & Jun Yang, 2023. "Spatial–Temporal Characteristics and Influencing Factors of Land-Use Carbon Emissions: An Empirical Analysis Based on the GTWR Model," Land, MDPI, vol. 12(8), pages 1-23, July.

    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. Edwin Bernard F. Lisaba & Neil Stephen A. Lopez, 2021. "Spatiotemporal Comparison of Drivers to CO 2 Emissions in ASEAN: A Decomposition Study," Sustainability, MDPI, vol. 13(11), pages 1-21, May.
    2. Lima, Fátima & Nunes, Manuel Lopes & Cunha, Jorge & Lucena, André F.P., 2016. "A cross-country assessment of energy-related CO2 emissions: An extended Kaya Index Decomposition Approach," Energy, Elsevier, vol. 115(P2), pages 1361-1374.
    3. Wang, Zhaojing & Jiang, Qingzhe & Dong, Kangyin & Mubarik, Muhammad Shujaat & Dong, Xiucheng, 2020. "Decomposition of the US CO2 emissions and its mitigation potential: An aggregate and sectoral analysis," Energy Policy, Elsevier, vol. 147(C).
    4. Dong, Kangyin & Hochman, Gal & Timilsina, Govinda R., 2020. "Do drivers of CO2 emission growth alter overtime and by the stage of economic development?," Energy Policy, Elsevier, vol. 140(C).
    5. Román-Collado, Rocío & Colinet, María José, 2018. "Are labour productivity and residential living standards drivers of the energy consumption changes?," Energy Economics, Elsevier, vol. 74(C), pages 746-756.
    6. Feng Dong & Xinqi Gao & Jingyun Li & Yuanqing Zhang & Yajie Liu, 2018. "Drivers of China’s Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches," IJERPH, MDPI, vol. 15(12), pages 1-28, December.
    7. Raza, Muhammad Yousaf & Lin, Boqiang, 2023. "Future outlook and influencing factors analysis of natural gas consumption in Bangladesh: An economic and policy perspectives," Energy Policy, Elsevier, vol. 173(C).
    8. Meng, Ming & Shang, Wei & Zhao, Xiaoli & Niu, Dongxiao & Li, Wei, 2015. "Decomposition and forecasting analysis of China's energy efficiency: An application of three-dimensional decomposition and small-sample hybrid models," Energy, Elsevier, vol. 89(C), pages 283-293.
    9. Boqiang Lin, & Wang, Miao, 2019. "Possibilities of decoupling for China’s energy consumption from economic growth: A temporal-spatial analysis," Energy, Elsevier, vol. 185(C), pages 951-960.
    10. Junghwan Lee & Jinsoo Kim, 2021. "A Decomposition Analysis of the Korean Manufacturing Sector: Monetary vs. Physical Outputs," Sustainability, MDPI, vol. 13(11), pages 1-13, May.
    11. Feng Dong & Jingyun Li & Yue-Jun Zhang & Ying Wang, 2018. "Drivers Analysis of CO 2 Emissions from the Perspective of Carbon Density: The Case of Shandong Province, China," IJERPH, MDPI, vol. 15(8), pages 1-24, August.
    12. Yabo Zhao & Ruiyang Chen & Tong Sun & Ying Yang & Shifa Ma & Dixiang Xie & Xiwen Zhang & Yunnan Cai, 2022. "Urbanization Influences CO 2 Emissions in the Pearl River Delta: A Perspective of the “Space of Flows”," Land, MDPI, vol. 11(8), pages 1-21, August.
    13. Li, Rongrong & Han, Xinyu & Wang, Qiang, 2023. "Do technical differences lead to a widening gap in China's regional carbon emissions efficiency? Evidence from a combination of LMDI and PDA approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    14. Cheng Zhang & Ziwei Zhao & Qunwei Wang, 2022. "Effect of Western Development Strategy on carbon productivity and its influencing mechanisms," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(4), pages 4963-5002, April.
    15. Sumabat, Ana Karmela & Lopez, Neil Stephen & Yu, Krista Danielle & Hao, Han & Li, Richard & Geng, Yong & Chiu, Anthony S.F., 2016. "Decomposition analysis of Philippine CO2 emissions from fuel combustion and electricity generation," Applied Energy, Elsevier, vol. 164(C), pages 795-804.
    16. Fei Wang & Changjian Wang & Jing Chen & Zeng Li & Ling Li, 2020. "Examining the determinants of energy-related carbon emissions in Central Asia: country-level LMDI and EKC analysis during different phases," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 7743-7769, December.
    17. Rui Jiang & Rongrong Li, 2017. "Decomposition and Decoupling Analysis of Life-Cycle Carbon Emission in China’s Building Sector," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    18. Debin Fang & Peng Hao & Zhengxin Wang & Jian Hao, 2019. "Analysis of the Influence Mechanism of CO 2 Emissions and Verification of the Environmental Kuznets Curve in China," IJERPH, MDPI, vol. 16(6), pages 1-17, March.
    19. Jaruwan Chontanawat & Paitoon Wiboonchutikula & Atinat Buddhivanich, 2020. "Decomposition Analysis of the Carbon Emissions of the Manufacturing and Industrial Sector in Thailand," Energies, MDPI, vol. 13(4), pages 1-23, February.
    20. Linwei Ma & Chinhao Chong & Xi Zhang & Pei Liu & Weiqi Li & Zheng Li & Weidou Ni, 2018. "LMDI Decomposition of Energy-Related CO 2 Emissions Based on Energy and CO 2 Allocation Sankey Diagrams: The Method and an Application to China," Sustainability, MDPI, vol. 10(2), pages 1-37, January.

    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:18:y:2021:i:7:p:3623-:d:527456. 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.