IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i8p1506-d1205338.html
   My bibliography  Save this article

Spatial–Temporal Characteristics and Influencing Factors of Land-Use Carbon Emissions: An Empirical Analysis Based on the GTWR Model

Author

Listed:
  • Jie He

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China)

  • Jun Yang

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

Abstract

An in-depth comprehension of the spatial–temporal characteristics of land-use carbon emissions (LUCE), along with their potential influencing factors, is of high scientific significance for the realization of low-carbon land use and sustainable urban development. Academic investigations pertaining to LUCE predominantly encompass three key dimensions: assessment, optimization, and characterization research. This study aimed to investigate the spatial and temporal variations in LUCE within Zhejiang Province by analyzing data from 11 cities and identifying the key factors influencing these emissions. This research work employed the geographically and temporally weighted regression (GTWR) model to explore the patterns of variation in these factors across each city. The results reveal that (1) the temporal changes in LUCE display two predominant trends, while the spatial distribution exhibits a distinct “high in the northeast and low in the southwest” divergence; (2) the average intensity of each factor follows the order of economic level > government intervention > urban compactness > public facilities level > urban greening level > industrial structure > population density; (3) and the influencing factors exhibit significant spatial and temporal heterogeneity, with varying direction and intensity of effects for different cities at different stages of development. This study integrated the dimensions of time and space, systematically examining the evolutionary trends of influencing factors on LUCE within each region. Consequently, it contributes to the comprehension of the spatiotemporal effects associated with the driving mechanisms of LUCE. Moreover, it offers a foundation for formulating customized patterns and strategies to mitigate such emissions, taking into account specific local contexts.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:8:p:1506-:d:1205338
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/8/1506/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/8/1506/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Haiming Yan & Xin Guo & Shuqin Zhao & Huicai Yang, 2022. "Variation of Net Carbon Emissions from Land Use Change in the Beijing-Tianjin-Hebei Region during 1990–2020," Land, MDPI, vol. 11(7), pages 1-15, June.
    2. 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.
    3. Hui Wen & Yi Li & Zirong Li & Xiaoxue Cai & Fengxia Wang, 2022. "Spatial Differentiation of Carbon Budgets and Carbon Balance Zoning in China Based on the Land Use Perspective," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    4. Qiaowen Lin & Lu Zhang & Bingkui Qiu & Yi Zhao & Chao Wei, 2021. "Spatiotemporal Analysis of Land Use Patterns on Carbon Emissions in China," Land, MDPI, vol. 10(2), pages 1-13, February.
    5. Yang, Xu & Liu, Xianzhao, 2023. "Path analysis and mediating effects of influencing factors of land use carbon emissions in Chang-Zhu-Tan urban agglomeration," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    6. Li Li & Zhichao Chen & Shidong Wang, 2022. "Optimization of Spatial Land Use Patterns with Low Carbon Target: A Case Study of Sanmenxia, China," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
    7. Azevedo, Vitor G. & Sartori, Simone & Campos, Lucila M.S., 2018. "CO2 emissions: A quantitative analysis among the BRICS nations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 107-115.
    8. Chuanlong Li & Yuanqing Li & Kaifang Shi & Qingyuan Yang, 2020. "A Multiscale Evaluation of the Coupling Relationship between Urban Land and Carbon Emissions: A Case Study of Chongqing, China," IJERPH, MDPI, vol. 17(10), pages 1-13, May.
    9. Xinhui Feng & Yan Li & Lu Zhang & Chuyu Xia & Er Yu & Jiayu Yang, 2022. "Carbon Metabolism in Urban “Production–Living–Ecological” Space Based on Ecological Network Analysis," Land, MDPI, vol. 11(9), pages 1-22, August.
    10. Yihui Chen & Minjie Li & Kai Su & Xiaoyong Li, 2019. "Spatial-Temporal Characteristics of the Driving Factors of Agricultural Carbon Emissions: Empirical Evidence from Fujian, China," Energies, MDPI, vol. 12(16), pages 1-23, August.
    11. R. A. Houghton, 2002. "Magnitude, distribution and causes of terrestrial carbon sinks and some implications for policy," Climate Policy, Taylor & Francis Journals, vol. 2(1), pages 71-88, March.
    12. Liu, Jiaguo & Li, Sujuan & Ji, Qiang, 2021. "Regional differences and driving factors analysis of carbon emission intensity from transport sector in China," Energy, Elsevier, vol. 224(C).
    13. Zhenjun Gao & Shujie Li & Xiufeng Cao & Yuefen Li, 2022. "Carbon Emission Intensity Characteristics and Spatial Spillover Effects in Counties in Northeast China: Based on a Spatial Econometric Model," Land, MDPI, vol. 11(5), pages 1-19, May.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Xiaoping Li & Sai Hu & Lifu Jiang & Bing Han & Jie Li & Xuan Wei, 2023. "Spatiotemporal Patterns and the Development Path of Land-Use Carbon Emissions from a Low-Carbon Perspective: A Case Study of Guizhou Province," Land, MDPI, vol. 12(10), pages 1-17, October.
    3. Caixia Liu & Rui Xu & Kaiji Xu & Yiwen Lin & Yingui Cao, 2023. "Carbon Emission Effects of Land Use in Chaobai River Region of Beijing–Tianjin–Hebei, China," Land, MDPI, vol. 12(6), pages 1-23, June.
    4. 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.
    5. Qing Wang & Yuhang Xiao, 2022. "Has Urban Construction Land Achieved Low-Carbon Sustainable Development? A Case Study of North China Plain, China," Sustainability, MDPI, vol. 14(15), pages 1-29, August.
    6. 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.
    7. Meimei Wang & Dezhen Kong & Jinhuang Mao & Weijing Ma & Ramamoorthy Ayyamperumal, 2022. "The Impacts of Land Use Spatial Form Changes on Carbon Emissions in Qinghai–Tibet Plateau from 2000 to 2020: A Case Study of the Lhasa Metropolitan Area," Land, MDPI, vol. 12(1), pages 1-17, December.
    8. Ou, Yifu & Bao, Zhikang & Ng, S. Thomas & Song, Weize & Chen, Ke, 2024. "Land-use carbon emissions and built environment characteristics: A city-level quantitative analysis in emerging economies," Land Use Policy, Elsevier, vol. 137(C).
    9. Ting Zhang & Longqian Chen & Ziqi Yu & Jinyu Zang & Long Li, 2022. "Spatiotemporal Evolution Characteristics of Carbon Emissions from Industrial Land in Anhui Province, China," Land, MDPI, vol. 11(11), pages 1-18, November.
    10. Haiming Yan & Xin Guo & Shuqin Zhao & Huicai Yang, 2022. "Variation of Net Carbon Emissions from Land Use Change in the Beijing-Tianjin-Hebei Region during 1990–2020," Land, MDPI, vol. 11(7), pages 1-15, June.
    11. Qingxiang Meng & Yanna Zheng & Qi Liu & Baolu Li & Hejie Wei, 2023. "Analysis of Spatiotemporal Variation and Influencing Factors of Land-Use Carbon Emissions in Nine Provinces of the Yellow River Basin Based on the LMDI Model," Land, MDPI, vol. 12(2), pages 1-15, February.
    12. Chen, Huadun & Du, Qianxi & Huo, Tengfei & Liu, Peiran & Cai, Weiguang & Liu, Bingsheng, 2023. "Spatiotemporal patterns and driving mechanism of carbon emissions in China's urban residential building sector," Energy, Elsevier, vol. 263(PE).
    13. Zhonghua Cheng & Xiaowen Hu, 2023. "The effects of urbanization and urban sprawl on CO2 emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1792-1808, February.
    14. Zhenkai Yang & Mei-Chih Wang & Tsangyao Chang & Wing-Keung Wong & Fangjhy Li, 2022. "Which Factors Determine CO 2 Emissions in China? Trade Openness, Financial Development, Coal Consumption, Economic Growth or Urbanization: Quantile Granger Causality Test," Energies, MDPI, vol. 15(7), pages 1-18, March.
    15. Liu, Xingjian & Wang, Mingshu & Qiang, Wei & Wu, Kang & Wang, Xiaomi, 2020. "Urban form, shrinking cities, and residential carbon emissions: Evidence from Chinese city-regions," Applied Energy, Elsevier, vol. 261(C).
    16. Dong, Kangyin & Dong, Xiucheng & Jiang, Qingzhe & Zhao, Jun, 2021. "Assessing energy resilience and its greenhouse effect: A global perspective," Energy Economics, Elsevier, vol. 104(C).
    17. Xinhui Feng & Yan Li & Lu Zhang & Chuyu Xia & Er Yu & Jiayu Yang, 2022. "Carbon Metabolism in Urban “Production–Living–Ecological” Space Based on Ecological Network Analysis," Land, MDPI, vol. 11(9), pages 1-22, August.
    18. Malayaranjan Sahoo & Narayan Sethi, 2022. "The dynamic impact of urbanization, structural transformation, and technological innovation on ecological footprint and PM2.5: evidence from newly industrialized countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 4244-4277, March.
    19. Liu, Changyu & Song, Yadong & Wang, Wei & Shi, Xunpeng, 2023. "The governance of manufacturers’ greenwashing behaviors: A tripartite evolutionary game analysis of electric vehicles," Applied Energy, Elsevier, vol. 333(C).
    20. Baruah, Debendra Chandra & Enweremadu, Christopher Chintua, 2019. "Prospects of decentralized renewable energy to improve energy access: A resource-inventory-based analysis of South Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 328-341.

    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:12:y:2023:i:8:p:1506-:d:1205338. 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.