IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i7p1036-d1432492.html
   My bibliography  Save this article

How Does Density Impact Carbon Emission Intensity: Insights from the Block Scale and an Optimal Parameters-Based Geographical Detector

Author

Listed:
  • Liutong Li

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Fengying Yan

    (School of Architecture, Tianjin University, Tianjin 300072, China)

Abstract

Density is a crucial indicator for urban sustainable development and is considered a critical factor influencing the carbon emission intensity of construction land (CICL). The impact of density on carbon emissions has been extensively explored, mainly focusing on grid-scale and single-factor effects. However, how density and its interactions affect carbon emissions at the block scale is unclear. Therefore, based on multiple data sources such as energy consumption, remote sensing, and the point of interest (POI) in the urban block of Changxing County, this study constructed a density system that reflects the block’s physical environment and socioeconomic characteristics. An optimal-parameters-based geographical detector was employed to investigate the effects and interactions of density factors on the carbon emission intensity of residential blocks (CIRB), carbon emission intensity of commercial blocks (CICB), and carbon emission intensity of public blocks (CIPB). The results indicate the following: (1) The impact of density factors on different types of CICL varied significantly. Physical environmental factors (PEFs) had greater explanatory power than socioeconomic factors (SEFs) across the CIRB, CICB, and CIPB, with the floor area ratio (FAR) being the most influential. The spatial morphology of blocks also influenced the relationship between density factors and the CICL. (2) The interactions between the FAR and building density (BD), the FAR and commercial outlet density (COD), and the FAR and population density (PD) had the strongest explanatory power for the CIRB, CICB, and CIPB, respectively, and all exhibited nonlinear enhancements. Some factors exhibited more significant effects only when interacting with others. (3) An association chain encompassing the interactions of multiple density factors was extracted for the CIRB, CICB, and CIPB, respectively, as the basis for conducting collaborative management and control in spatial planning. The research findings can provide decision support for urban planners to consider the comprehensive effects of density factors and promote the development of low-carbon urban spaces.

Suggested Citation

  • Liutong Li & Fengying Yan, 2024. "How Does Density Impact Carbon Emission Intensity: Insights from the Block Scale and an Optimal Parameters-Based Geographical Detector," Land, MDPI, vol. 13(7), pages 1-18, July.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1036-:d:1432492
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/7/1036/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/7/1036/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liddle, Brantley, 2013. "Urban density and climate change: a STIRPAT analysis using city-level data," Journal of Transport Geography, Elsevier, vol. 28(C), pages 22-29.
    2. Al-mulali, Usama, 2012. "Factors affecting CO2 emission in the Middle East: A panel data analysis," Energy, Elsevier, vol. 44(1), pages 564-569.
    3. Ian W.H. Parry & Roberton C. Williams III & Lawrence H. Goulder, 2002. "When Can Carbon Abatement Policies Increase Welfare? The Fundamental Role of Distorted Factor Markets," Chapters, in: Lawrence H. Goulder (ed.), Environmental Policy Making in Economies with Prior Tax Distortions, chapter 25, pages 471-503, Edward Elgar Publishing.
    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. Guangshun Zhang & Yi Su & Ziming Wang & Ying Chen & Jiangjun Wan & Haichao Bai, 2024. "Spatial–Temporal Evolution and Driving Force Analysis of Blue–Green Space in the Chengdu–Chongqing Economic Circle, China," Land, MDPI, vol. 13(11), pages 1-22, October.
    2. Bingxin Li & Qiang Zheng & Xue Jiang & Chennan He, 2024. "Multi-Scale Spatial Structure Impacts on Carbon Emission in Cold Region: Case Study in Changchun, China," Sustainability, MDPI, vol. 17(1), pages 1-33, 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. Sakariyahu, Rilwan & Lawal, Rodiat & Etudaiye-Muhtar, Oyebola Fatima & Ajide, Folorunsho Monsuru, 2023. "Reflections on COP27: How do technological innovations and economic freedom affect environmental quality in Africa?," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    2. Lawrence H. Goulder, 2013. "Markets for Pollution Allowances: What Are the (New) Lessons?," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 87-102, Winter.
    3. Bjertnæs, Geir H. & Tsygankova, Marina & Martinsen, Thomas, 2013. "Norwegian climate policy reforms in the presence of an international quota market," Energy Economics, Elsevier, vol. 39(C), pages 147-158.
    4. Hidab Hamwi & Rajeev Alasseri & Sara Aldei & Mariam Al-Kandari, 2022. "A Pilot Study of Electrical Vehicle Performance, Efficiency, and Limitation in Kuwait’s Harsh Weather and Environment," Energies, MDPI, vol. 15(20), pages 1-14, October.
    5. Brita Bye & Karine Nyborg, 1999. "The Welfare Effects of Carbon Policies: Grandfathered Quotas versus Differentiated Taxes," Discussion Papers 261, Statistics Norway, Research Department.
    6. Govinda R. Timilsina & Ram M. Shrestha, 2002. "General equilibrium analysis of economic and environmental effects of carbon tax in a developing country: case of Thailand," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 5(3), pages 179-211, September.
    7. Govinda R. Timilsina & Ram M. Shrestha, 2003. "General equilibrium analysis of economic and environmental effects of carbon tax in a developing country: case of Thailand," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 5(3), pages 179-211, April.
    8. Ian W.H. Parry, 2005. "Fiscal Interactions and the Costs of Controlling Pollution from Electricity," RAND Journal of Economics, The RAND Corporation, vol. 36(4), pages 849-869, Winter.
    9. Liu, Jingming & Hou, Xianhui & Wang, Zhanqi & Shen, Yue, 2021. "Study the effect of industrial structure optimization on urban land-use efficiency in China," Land Use Policy, Elsevier, vol. 105(C).
    10. van Kooten, G. Cornelis, 2004. "Economics of Forest and Agricultural Carbon Sinks," Working Papers 18160, University of Victoria, Resource Economics and Policy.
    11. Oktay KIZILKAYA, 2017. "The Impact of Economic Growth and Foreign Direct Investment on CO2 Emissions: The Case of Turkey," Turkish Economic Review, KSP Journals, vol. 4(1), pages 106-118, March.
    12. Dissou, Yazid, 2005. "Cost-effectiveness of the performance standard system to reduce CO2 emissions in Canada: a general equilibrium analysis," Resource and Energy Economics, Elsevier, vol. 27(3), pages 187-207, October.
    13. Parry, Ian W. H. & Williams III, Roberton C., 1999. "A second-best evaluation of eight policy instruments to reduce carbon emissions," Resource and Energy Economics, Elsevier, vol. 21(3-4), pages 347-373, August.
    14. Chen, Zi-yue & Nie, Pu-yan, 2016. "Effects of carbon tax on social welfare: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1607-1615.
    15. Freebairn, John, 2012. "Tax mix change to reduce greenhouse gas emissions," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(01), pages 1-15, March.
    16. 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.
    17. Nils Ohlendorf & Michael Jakob & Jan Christoph Minx & Carsten Schröder & Jan Christoph Steckel, 2021. "Distributional Impacts of Carbon Pricing: A Meta-Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 1-42, January.
    18. Parry, Ian, 2015. "Designing Fiscal Policy to Address the External Costs of Energy," International Review of Environmental and Resource Economics, now publishers, vol. 8(1), pages 1-56, May.
    19. Lohwasser, Johannes & Bolognesi, Thomas & Schaffer, Axel, 2025. "Impacts of population, affluence and urbanization on local air pollution and land transformation – A regional STIRPAT analysis for German districts," Ecological Economics, Elsevier, vol. 227(C).
    20. Lawrence H. Goulder & Ian W.H. Parry & Roberton C. Williams III & Dallas Burtraw, 2002. "The Cost-Effectiveness of Alternative Instruments for Environmental Protection in a Second-Best Setting," Chapters, in: Lawrence H. Goulder (ed.), Environmental Policy Making in Economies with Prior Tax Distortions, chapter 27, pages 523-554, Edward Elgar Publishing.

    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:jlands:v:13:y:2024:i:7:p:1036-:d:1432492. 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.