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Spatial–Temporal Characteristics of Carbon Emissions in Mixed-Use Villages: A Sustainable Development Study of the Yangtze River Delta, China

Author

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  • Yiqun Wu

    (College of Art and Archaeology, Hangzhou City University, Hangzhou 310058, China
    Beautiful Hangzhou Environmental Planning and Architectural Design Research Center, Hangzhou City University, Hangzhou 310058, China
    College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, China)

  • Yuan Sun

    (Department of Earth and Environmental Sciences, The University of Manchester, Manchester M13 9PY, UK
    China Institute of Urbanization, Zhejiang University, Hangzhou 310058, China)

  • Congyue Zhou

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, China)

  • Yonghua Li

    (College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, China
    Center for Balance Architecture, Zhejiang University, Hangzhou 310058, China
    Architectural Design and Research Institute of Zhejiang University Co., Ltd., Hangzhou 310028, China)

  • Xuanli Wang

    (College of Art and Archaeology, Hangzhou City University, Hangzhou 310058, China)

  • Huifang Yu

    (College of Art and Archaeology, Hangzhou City University, Hangzhou 310058, China
    Beautiful Hangzhou Environmental Planning and Architectural Design Research Center, Hangzhou City University, Hangzhou 310058, China)

Abstract

With the progression of novel urbanization, rural regions are increasingly characterized by mixed-use features, where work and living activities intersect, resulting in a significant surge in per capita carbon emissions. This research article aims to elucidate the spatio-temporal relationship of carbon emissions in rural areas and their association with mixed-use intensity from a sustainable development perspective. For the study, we selected four of the most representative mixed-use village types in the Yangtze River Delta region. Using the STING method, each rural space was delineated into micro-level mixed-use units. Subsequently, a quantitative evaluation model was constructed to gauge the relationship between mixed-use intensity and carbon emissions. This was complemented by employing GIS simulations to analyze the spatio-temporal attributes of carbon emissions in mixed-use villages. Our findings indicate that (1) different types of villages display considerable disparities in mixed-use intensity and carbon emissions. Their correlation also varies significantly, with traditional agricultural villages exhibiting the lowest values of 0.338 and 0.356, while E-commerce-centric villages recorded the highest at 0.674 and 0.653. (2) The carbon emissions of rural units manifest diverse patterns that include dispersed distribution, core aggregation, linear decay, and dissipative fragmentation. These correspond to traditional agriculture, industrial production, tourism service, and E-commerce villages, respectively. (3) The carbon emissions of mixed-use villages exhibit cyclical fluctuations over time, with different magnitudes observed across villages. Traditional agricultural villages display the smallest fluctuations (within 30%), while those centered around tourism services can experience fluctuations exceeding 150%. Building on these insights, we delved deep into the challenges faced by each village type in enhancing the quality of work and living while concurrently achieving energy conservation and emission reduction. Based on these aspects, we propose a sustainable low-carbon development pathway tailored for mixed-use villages.

Suggested Citation

  • Yiqun Wu & Yuan Sun & Congyue Zhou & Yonghua Li & Xuanli Wang & Huifang Yu, 2023. "Spatial–Temporal Characteristics of Carbon Emissions in Mixed-Use Villages: A Sustainable Development Study of the Yangtze River Delta, China," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:15060-:d:1263220
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    References listed on IDEAS

    as
    1. Imranul Islam & Shenghui Cui & Muhammad Ziaul Hoque & Hasan Muhammad Abdullah & Kaniz Fatima Tonny & Minhaz Ahmed & Jannatul Ferdush & Lilai Xu & Shengping Ding, 2022. "Dynamics of Tree outside Forest Land Cover Development and Ecosystem Carbon Storage Change in Eastern Coastal Zone, Bangladesh," Land, MDPI, vol. 11(1), pages 1-19, January.
    2. Khan, Zaid Ashiq & Koondhar, Mansoor Ahmed & Tiantong, Ma & Khan, Aftab & Nurgazina, Zhanar & Tianjun, Liu & Fengwang, Ma, 2022. "Do chemical fertilizers, area under greenhouses, and renewable energies drive agricultural economic growth owing the targets of carbon neutrality in China?," Energy Economics, Elsevier, vol. 115(C).
    3. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How digital industries affect China's carbon emissions? Analysis of the direct and indirect structural effects," Technology in Society, Elsevier, vol. 68(C).
    4. Ting You & Shuiyu Yan, 2023. "Spatial Differentiation and Driving Force Detection of Rural Settlements in the Yangtze River Delta Region," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    5. Jin Yang & Chen Xu & Zhiyong Fang & Yuanbo Shi, 2022. "Spatial Distribution Characteristics and Driving Factors of Rural Revitalization Model Villages in the Yangtze River Delta," Land, MDPI, vol. 11(11), pages 1-22, October.
    6. Chunla Liu & Yingjie Qin & Yufei Wang & Yue Yu & Guanghui Li, 2022. "Spatio-Temporal Distribution of Tourism Flows and Network Analysis of Traditional Villages in Western Hunan," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    7. Jianli Sui & Wenqiang Lv, 2021. "Crop Production and Agricultural Carbon Emissions: Relationship Diagnosis and Decomposition Analysis," IJERPH, MDPI, vol. 18(15), pages 1-18, August.
    8. Fan, Jianshuang & Zhou, Lin & Zhang, Yan & Shao, Shuai & Ma, Miao, 2021. "How does population aging affect household carbon emissions? Evidence from Chinese urban and rural areas," Energy Economics, Elsevier, vol. 100(C).
    9. Feng, Weilun & Liu, Yansui & Qu, Lulu, 2019. "Effect of land-centered urbanization on rural development: A regional analysis in China," Land Use Policy, Elsevier, vol. 87(C).
    10. Andrew Gregory & Emma Spence & Paul Beier & Emily Garding, 2021. "Toward Best Management Practices for Ecological Corridors," Land, MDPI, vol. 10(2), pages 1-25, February.
    11. Yizhang He & Wei Song, 2022. "Analysis of the Impact of Carbon Trading Policies on Carbon Emission and Carbon Emission Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    12. Huang, Ren & Zhang, Sufang & Wang, Peng, 2022. "Key areas and pathways for carbon emissions reduction in Beijing for the “Dual Carbon” targets," Energy Policy, Elsevier, vol. 164(C).
    13. Zhi Qiu & Yi Hua & Binwei Yun & Zhu Wang & Yi Zhou, 2023. "Public Space Planning in Urban Resettlement Community in China: Addressing Diverse Needs of Rural Migrants through Function Programming Based on Architectural Planning Theory," Land, MDPI, vol. 12(7), pages 1-26, July.
    14. Gan, Xiaolong & Yan, Kangkang & Wen, Tao, 2023. "Using fuzzy cognitive maps to develop policy strategies for the development of green rural housing: A case study in China," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    15. Wei Zhao & Changjun Jiang, 2022. "Analysis of the Spatial and Temporal Characteristics and Dynamic Effects of Urban-Rural Integration Development in the Yangtze River Delta Region," Land, MDPI, vol. 11(7), pages 1-22, July.
    16. Liang, Xiaoying & Min Fan, & Xiao, Yuting & Yao, Jing, 2022. "Temporal-spatial characteristics of energy-based carbon dioxide emissions and driving factors during 2004–2019, China," Energy, Elsevier, vol. 261(PA).
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