Historical changes and driving factors of food-water-energy footprint consumption: A Case study of the Beijing-Tianjin-Hebei city agglomeration

IF 12 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2025-02-14 DOI:10.1016/j.scs.2025.106222
Ke Yang, Qi Han, Dujuan Yang, Bauke de Vries
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Abstract

Food, water, and energy (FWE) are critical for the development of urban agglomerations, but research on FWE footprints at this scale remains limited. This study addresses this gap by analyzing the FWE footprints of the Beijing-Tianjin-Hebei metropolitan region in 2012 and 2017 at the city level. Using the multi-regional Input-Output model (MRIO) and Structural Decomposition Analysis (SDA), the study identifies the key factors driving changes in these footprints across five dimensions. The analysis evaluates both actual and virtual FWE consumption, focusing on utilization coefficients and inter-industry connections. Key findings include: (1) Agriculture in Chengde and Zhangjiakou plays a vital role in the FWE nexus and requires more attention. (2) Beijing, Tianjin, and Langfang are net inflow areas for FWE, while Tangshan and Chengde act as net outflow zones. (3) In 2017, agriculture was the largest contributor to virtual water outflows, followed by services, manufacturing, construction, energy, and mining. (4) In 2017, the virtual energy footprint was driven mainly by manufacturing and services, with strong links to the construction sector. (5) From 2012 to 2017, population size has the greatest effect on FWE footprints, while demand structure positively influences FWE growth in the construction industry. The study concludes with targeted recommendations for industrial strategies at both regional and city levels to enhance resource efficiency and promote sustainable development within the metropolitan agglomeration.

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食物-水-能源足迹消费的历史演变及其驱动因素——以京津冀城市群为例
食物、水和能源(FWE)对城市群的发展至关重要,但在这种规模上对FWE足迹的研究仍然有限。本研究通过分析京津冀都市圈2012年和2017年的城市FWE足迹来弥补这一差距。利用多区域投入产出模型(MRIO)和结构分解分析(SDA),该研究从五个维度确定了驱动这些足迹变化的关键因素。该分析评估了实际和虚拟FWE消耗,重点是利用系数和行业间联系。主要结论包括:(1)承德、张家口地区农业在FWE联系中起着至关重要的作用,需要引起更多的关注。(2)北京、天津和廊坊是FWE的净流入区,唐山和承德是FWE的净流出区。(3) 2017年,农业是虚拟水流出的最大贡献者,其次是服务业、制造业、建筑业、能源和采矿业。(4) 2017年,虚拟能源足迹主要由制造业和服务业驱动,与建筑业联系紧密。(5) 2012 - 2017年,人口规模对FWE足迹的影响最大,需求结构对建筑业FWE足迹的影响为正。最后,本研究对区域和城市层面的产业战略提出了有针对性的建议,以提高资源效率,促进城市群内的可持续发展。
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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
期刊介绍: Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;
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