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An industrial ecology virtual framework for policy making in China

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  • Yafei Wang

Abstract

This study develops a multi-regional input–output (MRIO) laboratory for policy-relevant applications in China. The Chinese IELab features unique flexibility and advances the previous state of the art in terms of three novel aspects. First, it can generate regionally and sectorally very detailed MRIO tables based on users’ own research questions. Second, it covers the entire territorial economic boundary and has the longest and most up to date annual time series from 1978 to 2015. Third, it can be used to provide insight to a wide range of research and policy questions including social, economic, and environmental issues, thus significantly improving all applications that rely on input–output tables. These features are illustrated by generating a Beijing–Tianjin–Hebei multi-regional supply and use table for 2014 at city level and applying it to the case study of transferring Beijing’s non-capital functions according to The Beijing-Tianjin-Hebei Coordinated Development Strategy set by the Chinese government.

Suggested Citation

  • Yafei Wang, 2017. "An industrial ecology virtual framework for policy making in China," Economic Systems Research, Taylor & Francis Journals, vol. 29(2), pages 252-274, April.
    • Handle: RePEc:taf:ecsysr:v:29:y:2017:i:2:p:252-274
    DOI: 10.1080/09535314.2017.1313199
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    Cited by:

    1. Wang, Changbo & Malik, Arunima & Wang, Yafei & Chang, Yuan & Pang, Mingyue & Zhou, Dequn, 2020. "Understanding the resource-use and environmental impacts of bioethanol production in China based on a MRIO-based hybrid LCA model," Energy, Elsevier, vol. 203(C).
    2. Thomas Wiedmann, 2017. "An input–output virtual laboratory in practice – survey of uptake, usage and applications of the first operational IELab," Economic Systems Research, Taylor & Francis Journals, vol. 29(2), pages 296-312, April.
    3. Zhengtao Zhang & Ning Li & Peng Cui & Hong Xu & Yuan Liu & Xi Chen & Jieling Feng, 2019. "How to Integrate Labor Disruption into an Economic Impact Evaluation Model for Postdisaster Recovery Periods," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2443-2456, November.
    4. Faturay, Futu & Vunnava, Venkata Sai Gargeya & Lenzen, Manfred & Singh, Shweta, 2020. "Using a new USA multi-region input output (MRIO) model for assessing economic and energy impacts of wind energy expansion in USA," Applied Energy, Elsevier, vol. 261(C).
    5. Arne Geschke & Michalis Hadjikakou, 2017. "Virtual laboratories and MRIO analysis – an introduction," Economic Systems Research, Taylor & Francis Journals, vol. 29(2), pages 143-157, April.
    6. Ke Wang & Jiayu Wang & Klaus Hubacek & Zhifu Mi & Yi‐Ming Wei, 2020. "A cost–benefit analysis of the environmental taxation policy in China: A frontier analysis‐based environmentally extended input–output optimization method," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 564-576, June.
    7. Yu, Xiang & Zhang, Yongsheng, 2021. "An economic mechanism of industrial ecology: Theory and evidence," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 14-22.
    8. Manfred Lenzen & Arne Geschke & Muhammad Daaniyall Abd Rahman & Yanyan Xiao & Jacob Fry & Rachel Reyes & Erik Dietzenbacher & Satoshi Inomata & Keiichiro Kanemoto & Bart Los & Daniel Moran & Hagen Sch, 2017. "The Global MRIO Lab – charting the world economy," Economic Systems Research, Taylor & Francis Journals, vol. 29(2), pages 158-186, April.
    9. Hanspeter Wieland & Manfred Lenzen & Arne Geschke & Jacob Fry & Dominik Wiedenhofer & Nina Eisenmenger & Johannes Schenk & Stefan Giljum, 2022. "The PIOLab: Building global physical input–output tables in a virtual laboratory," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 683-703, June.
    10. Rui Huang & Arunima Malik & Manfred Lenzen & Yutong Jin & Yafei Wang & Futu Faturay & Zhiyi Zhu, 2022. "Supply-chain impacts of Sichuan earthquake: a case study using disaster input–output analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(3), pages 2227-2248, February.
    11. Xu, Meijia & Chang, Yuan & Wei, Ying & Wang, Yafei & Zhang, Pengpeng & Huang, Zhiye, 2023. "Quantification and spatial pattern of embodied CO2 footprint of prefabricated buildings in urban agglomerations: A case study of Beijing–Tianjin–Hebei, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    12. Xuemei Jia & Qing Liu & Jiahao Feng & Yuru Li & Lijun Zhang, 2023. "The Induced Effects of Carbon Emissions for China’s Industry Digital Transformation," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    13. Yuan, Rong & Rodrigues, João F.D. & Tukker, Arnold & Behrens, Paul, 2018. "The impact of the expansion in non-fossil electricity infrastructure on China’s carbon emissions," Applied Energy, Elsevier, vol. 228(C), pages 1994-2008.
    14. Jacob Fry & Arne Geschke & Sarah Langdon & Manfred Lenzen & Mengyu Li & Arunima Malik & Ya‐Yen Sun & Thomas Wiedmann, 2022. "Creating multi‐scale nested MRIO tables for linking localized impacts to global consumption drivers," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 281-293, February.
    15. Yue, Wencong & Li, Yangqing & Su, Meirong & Chen, Qionghong & Rong, Qiangqiang, 2023. "Carbon emissions accounting and prediction in urban agglomerations from multiple perspectives of production, consumption and income," Applied Energy, Elsevier, vol. 348(C).

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