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Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, China

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  • Rong Guo

    (School of Architecture, Harbin Institute of Technology, Harbin 150006, China
    Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150006, China)

  • Xiaochen Wu

    (School of Architecture, Harbin Institute of Technology, Harbin 150006, China
    Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150006, China)

  • Tong Wu

    (School of Architecture, Harbin Institute of Technology, Harbin 150006, China
    Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150006, China)

  • Chao Dai

    (School of Architecture, Harbin Institute of Technology, Harbin 150006, China
    Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150006, China)

Abstract

Under the threat of global climate change, China has proposed a dual carbon goal of peak carbon and carbon neutrality. As the vital carrier for territorial spatial planning, production–living–ecological (PLE) spaces drive carbon emissions and are important to the dual carbon goals. In this study, carbon emissions and sinks of PLE spaces in cities in Heilongjiang Province from 2005 to 2020 were calculated and spatial–temporal changes were analyzed. The carbon emission structure was analyzed in segmentation sectors. The land use changes and socioeconomic factors on carbon emissions were analyzed, and emission reduction strategies were implemented. The results show the following: (1) Carbon emissions from production and living spaces increased yearly. Carbon sinks were smaller than emissions, but capacity was stable. (2) Higher-emission cities were concentrated in southwest Heilongjiang, and carbon emission differences between regions gradually increased. (3) Among carbon emission sectors, agricultural and household made up smaller proportions, while animal husbandry, industrial, transportation, and traffic travel contributed most. Carbon emission structures were transformed by adjusting urban development and industrial structure. (4) For most cities, industrial space was the main emission space, but agricultural production and urban–rural living spaces dominated in some cities. (5) GDP, urbanization rate, and area of city paved roads suppressed emissions in cities with decreased carbon emission grades. The industrial structure and coal consumption inhibited emissions in cities with maintaining and increasing carbon emissions grades.

Suggested Citation

  • Rong Guo & Xiaochen Wu & Tong Wu & Chao Dai, 2023. "Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, China," Land, MDPI, vol. 12(6), pages 1-19, May.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:6:p:1153-:d:1159934
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    1. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    2. Wang, Shaojian & Liu, Xiaoping, 2017. "China’s city-level energy-related CO2 emissions: Spatiotemporal patterns and driving forces," Applied Energy, Elsevier, vol. 200(C), pages 204-214.
    3. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    4. Xiaoqiang Tu & Chun Fu & An Huang & Hailian Chen & Xing Ding, 2022. "DBSCAN Spatial Clustering Analysis of Urban “Production–Living–Ecological” Space Based on POI Data: A Case Study of Central Urban Wuhan, China," IJERPH, MDPI, vol. 19(9), pages 1-21, April.
    5. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    6. 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.
    7. Chun Fu & Xiaoqiang Tu & An Huang, 2021. "Identification and Characterization of Production–Living–Ecological Space in a Central Urban Area Based on POI Data: A Case Study for Wuhan, China," Sustainability, MDPI, vol. 13(14), pages 1-25, July.
    8. Tian, Fenghao & Li, Mingyu & Han, Xulong & Liu, Hui & Mo, Boxian, 2020. "A Production–Living–Ecological Space Model for Land-Use Optimisation: A case study of the core Tumen River region in China," Ecological Modelling, Elsevier, vol. 437(C).
    9. Tong Wang & Jan Kazak & Qi Han & Bauke de Vries, 2019. "A framework for path-dependent industrial land transition analysis using vector data," European Planning Studies, Taylor & Francis Journals, vol. 27(7), pages 1391-1412, July.
    10. Di Wang & Dong Jiang & Jingying Fu & Gang Lin & Jialun Zhang, 2020. "Comprehensive Assessment of Production–Living–Ecological Space Based on the Coupling Coordination Degree Model," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
    11. Duro, Juan Antonio & Padilla, Emilio, 2006. "International inequalities in per capita CO2 emissions: A decomposition methodology by Kaya factors," Energy Economics, Elsevier, vol. 28(2), pages 170-187, March.
    12. Jianchun Fu & Shaoliang Zhang, 2021. "Functional Assessment and Coordination Characteristics of Production, Living, Ecological Function—A Case Study of Henan Province, China," IJERPH, MDPI, vol. 18(15), pages 1-15, July.
    13. Zhang, Zuo & Li, Jiaming, 2022. "Spatial suitability and multi-scenarios for land use: Simulation and policy insights from the production-living-ecological perspective," Land Use Policy, Elsevier, vol. 119(C).
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