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A Bottom-Up Carbon Emission Assessment Model for Carbon Emission Control at the Level of Rural Detailed Planning

Author

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  • Limei Song

    (School of Architecture and Design, China University of Mining and Technology, Xuzhou 221116, China)

  • Jiang Chang

    (School of Architecture and Design, China University of Mining and Technology, Xuzhou 221116, China)

  • Jianmei Yi

    (School of Architecture and Design, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

Incorporating green and low-carbon building targets into the rural planning management system requires scientific and quantitative methods for assessing carbon emissions from rural land use. At present, the research in this field mainly focuses on urban areas, but there are fewer theoretical and practical studies on the assessment of carbon emissions from rural land use. This paper proposes a new carbon emission assessment method based on land use modes, and the model can not only assess carbon emissions but also directly reflect the carbon emission intensity of different land use spaces in rural areas and guide the carbon emission control of construction land in village planning. In this paper, we take suburban rural areas in Hunan Province as an example and establish a land use carbon emission assessment model with 13 indicators in five dimensions: total carbon emission, carbon emission efficiency, carbon emission intensity per unit of land use, carbon emission structure of land use, and carbon emission intensity of buildings, based on the bottom-up field research data. We practised our method in Jinlong Town, Hunan Province, and gave examples of model applications. It was found that the carbon emission calculation method based on the carbon emission intensity of land use can be used to calculate the current status of carbon emissions in different villages in Jinlong Town. At the same time, the carbon emission assessment results can be used as a scientific basis for carbon emission control in detailed village planning in Jinlong Town. In general, the carbon emission assessment model can complete the assessment of land carbon emissions in rural areas and provide a low-carbon land use management tool for the government.

Suggested Citation

  • Limei Song & Jiang Chang & Jianmei Yi, 2024. "A Bottom-Up Carbon Emission Assessment Model for Carbon Emission Control at the Level of Rural Detailed Planning," Land, MDPI, vol. 13(7), pages 1-25, July.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1023-:d:1431123
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    References listed on IDEAS

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    1. Yun Tian & Rui Wang & Minhao Yin & Huijie Zhang, 2023. "Study on the Measurement and Influencing Factors of Rural Energy Carbon Emission Efficiency in China: Evidence Using the Provincial Panel Data," Agriculture, MDPI, vol. 13(2), pages 1-16, February.
    2. Chiqun Hu & Xiaoyu Ma, 2023. "Regional Differences, Dynamic Evolution and Convergence of Carbon Emissions from Rural Residents’ Living Consumption: Evidence from China," Energies, MDPI, vol. 16(16), pages 1-30, August.
    3. 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.
    4. 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.
    5. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    6. Marjorie M. Guarenghi & Danilo F. T. Garofalo & Joaquim E. A. Seabra & Marcelo M. R. Moreira & Renan M. L. Novaes & Nilza Patrícia Ramos & Sandra F. Nogueira & Cristiano A. de Andrade, 2023. "Land Use Change Net Removals Associated with Sugarcane in Brazil," Land, MDPI, vol. 12(3), pages 1-26, February.
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