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Multi-Regional Input-Output (MRIO) Study of the Provincial Ecological Footprints and Domestic Embodied Footprints Traded among China’s 30 Provinces

Author

Listed:
  • Decun Wu

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

  • Jinping Liu

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

Abstract

Rapid development in China has led to imbalances and inequities of ecological resources among the provinces and regions. In this study, an environmentally extended multi-regional input-output (MRIO) model was used to analyze the imbalances, inequities and pressures of the ecological footprints (EF) of China’s 30 provinces in 2007. In addition, by decomposing the total product consumption coefficients, we calculated the net embodied EF of the flows among the provinces by the total amount, land type and sector. The results showed that most provinces presented EF deficits. Significant differences were observed between the ecological pressure in consumption (EPC) and ecological pressure in production (EPP) for each province because of the net embodied EF trade; the EPCs of Shanghai (15.16), Beijing (7.81) and Tianjin (7.81) were the largest and presented descending EPPs, whereas the EPCs of Heilongjiang (0.98), Hebei (0.98), Xinjiang (0.98) and Guangxi (0.98) were under the threshold value (1) and presented ascending EPPs. The carbon footprint in the secondary sector was the main embodied EF of the flows among the provinces responsible for inequities. Finally, based on the various conditions of the provinces in different geographical regions, we have provided suggestions for regionally balanced development that can maintain the EPP and EPC values under the threshold for each province.

Suggested Citation

  • Decun Wu & Jinping Liu, 2016. "Multi-Regional Input-Output (MRIO) Study of the Provincial Ecological Footprints and Domestic Embodied Footprints Traded among China’s 30 Provinces," Sustainability, MDPI, vol. 8(12), pages 1-31, December.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1345-:d:85838
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    as
    1. Unknown, 2008. "2008 Editorial Committee," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2008, pages 1-1.
    2. Zhou, Xin & Imura, Hidefumi, 2011. "How does consumer behavior influence regional ecological footprints? An empirical analysis for Chinese regions based on the multi-region input–output model," Ecological Economics, Elsevier, vol. 71(C), pages 171-179.
    3. Wiedmann, Thomas & Minx, Jan & Barrett, John & Wackernagel, Mathis, 2006. "Allocating ecological footprints to final consumption categories with input-output analysis," Ecological Economics, Elsevier, vol. 56(1), pages 28-48, January.
    4. Tian, Xin & Chang, Miao & Lin, Chen & Tanikawa, Hiroki, 2014. "China’s carbon footprint: A regional perspective on the effect of transitions in consumption and production patterns," Applied Energy, Elsevier, vol. 123(C), pages 19-28.
    5. Xi Xie & Wenjia Cai & Yongkai Jiang & Weihua Zeng, 2015. "Carbon Footprints and Embodied Carbon Flows Analysis for China’s Eight Regions: A New Perspective for Mitigation Solutions," Sustainability, MDPI, vol. 7(8), pages 1-17, July.
    6. Wiedmann, Thomas, 2009. "A first empirical comparison of energy Footprints embodied in trade -- MRIO versus PLUM," Ecological Economics, Elsevier, vol. 68(7), pages 1975-1990, May.
    7. Jason Venetoulis & John Talberth, 2008. "Refining the ecological footprint," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 10(4), pages 441-469, August.
    8. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    9. Wiedmann, Thomas, 2009. "A review of recent multi-region input-output models used for consumption-based emission and resource accounting," Ecological Economics, Elsevier, vol. 69(2), pages 211-222, December.
    10. Manfred Lenzen & Lise-Lotte Pade & Jesper Munksgaard, 2004. "CO2 Multipliers in Multi-region Input-Output Models," Economic Systems Research, Taylor & Francis Journals, vol. 16(4), pages 391-412.
    11. Stefan Giljum & Martin Bruckner & Aldo Martinez, 2015. "Material Footprint Assessment in a Global Input-Output Framework," Journal of Industrial Ecology, Yale University, vol. 19(5), pages 792-804, October.
    12. Niccolucci, V. & Bastianoni, S. & Tiezzi, E.B.P. & Wackernagel, M. & Marchettini, N., 2009. "How deep is the footprint? A 3D representation," Ecological Modelling, Elsevier, vol. 220(20), pages 2819-2823.
    13. Gaodi Xie & Wenhui Chen & Shuyan Cao & Chunxia Lu & Yu Xiao & Changshun Zhang & Na Li & Shuo Wang, 2014. "The Outward Extension of an Ecological Footprint in City Expansion: The Case of Beijing," Sustainability, MDPI, vol. 6(12), pages 1-16, December.
    14. Zhang, Chao & Anadon, Laura Diaz, 2014. "A multi-regional input–output analysis of domestic virtual water trade and provincial water footprint in China," Ecological Economics, Elsevier, vol. 100(C), pages 159-172.
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    Cited by:

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    2. Jing Li & Hong Fang & Siran Fang & Zhiming Zhang & Pengyuan Zhang, 2021. "Embodied Energy Use in China’s Transportation Sector: A Multi-Regional Input–Output Analysis," IJERPH, MDPI, vol. 18(15), pages 1-18, July.
    3. Chuxiong Deng & Zhen Liu & Rongrong Li & Ke Li, 2018. "Sustainability Evaluation Based on a Three-Dimensional Ecological Footprint Model: A Case Study in Hunan, China," Sustainability, MDPI, vol. 10(12), pages 1-22, November.
    4. Jinghui Liu & Tingting Geng & Xingwei Wang & Guojin Qin, 2020. "Determinants of Oil Footprints Embodied in Sino-US Trade: A Perspective from the Globalizing World," Energies, MDPI, vol. 13(15), pages 1-26, July.
    5. Ishrar Sameen & Tasnim Feroze, 2021. "Spatial heterogeneity of ecological footprint of production: a district-level study of Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 8949-8973, June.
    6. Yunhe Yin & Xiang Han & Shaohong Wu, 2017. "Spatial and Temporal Variations in the Ecological Footprints in Northwest China from 2005 to 2014," Sustainability, MDPI, vol. 9(4), pages 1-15, April.

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