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Global Drivers of Russian Timber Harvest

Author

Listed:
  • Sai Liang
  • Sen Guo
  • Joshua P. Newell
  • Shen Qu
  • Yu Feng
  • Anthony S.F. Chiu
  • Ming Xu

Abstract

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Suggested Citation

  • Sai Liang & Sen Guo & Joshua P. Newell & Shen Qu & Yu Feng & Anthony S.F. Chiu & Ming Xu, 2016. "Global Drivers of Russian Timber Harvest," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 515-525, June.
    • Handle: RePEc:bla:inecol:v:20:y:2016:i:3:p:515-525
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    File URL: http://hdl.handle.net/10.1111/jiec.2016.20.issue-3
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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. Goldstein, Benjamin & Newell, Joshua P., 2020. "How to track corporations across space and time," Ecological Economics, Elsevier, vol. 169(C).
    3. Zhang, Xingping & Liang, Yanni & Yu, Enhai & Rao, Rao & Xie, Jian, 2017. "Review of electric vehicle policies in China: Content summary and effect analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 698-714.
    4. Milena Keskin, 2016. "Trendy rozwojowe franchisingu w Polsce i Europie / Franchising development trends in Poland and Europe," International Economics, University of Lodz, Faculty of Economics and Sociology, issue 13, pages 53-70, March.
    5. Sohag, Kazi & Gainetdinova, Anna & Mariev, Oleg, 2023. "Economic growth, institutional quality and deforestation: Evidence from Russia," Forest Policy and Economics, Elsevier, vol. 150(C).
    6. Zhang, Hui-min & Feng, Tian-tian & Yang, Yi-sheng, 2022. "Influencing factors and critical path of inter-sector embodied heavy rare earth consumption in China," Resources Policy, Elsevier, vol. 75(C).
    7. Yang, Woosuk, 2018. "A user-choice model for locating congested fast charging stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 189-213.
    8. Rogeau, A. & Girard, R. & Kariniotakis, G., 2017. "A generic GIS-based method for small Pumped Hydro Energy Storage (PHES) potential evaluation at large scale," Applied Energy, Elsevier, vol. 197(C), pages 241-253.
    9. Li, Yiming & Wang, Zhaohua & He, Weijun & Zhao, Yuandong & Xu, Ming & Zhang, Bin, 2021. "Critical transmission sectors for CO2 emission mitigation in supply chains," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    10. Gardas, Bhaskar B. & Raut, Rakesh D. & Narkhede, Balkrishna, 2017. "Modeling causal factors of post-harvesting losses in vegetable and fruit supply chain: An Indian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1355-1371.
    11. Brandstätter, Georg & Kahr, Michael & Leitner, Markus, 2017. "Determining optimal locations for charging stations of electric car-sharing systems under stochastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 17-35.
    12. Bayramov, Vugar & Abbas, Gulnara, 2017. "Oil shock in the Caspian Basin: Diversification policy and subsidized economies," Resources Policy, Elsevier, vol. 54(C), pages 149-156.
    13. Li, Qing'an & Maeda, Takao & Kamada, Yasunari & Hiromori, Yuto, 2018. "Investigation of wake characteristic of a 30 kW rated power Horizontal Axis Wind Turbine with wake model and field measurement," Applied Energy, Elsevier, vol. 225(C), pages 1190-1204.
    14. Klomp, Jeroen, 2020. "The impact of Russian sanctions on the return of agricultural commodity futures in the EU," Research in International Business and Finance, Elsevier, vol. 51(C).
    15. Loeb, Benjamin & Kockelman, Kara M., 2019. "Fleet performance and cost evaluation of a shared autonomous electric vehicle (SAEV) fleet: A case study for Austin, Texas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 374-385.
    16. Shayegh, Soheil & Sanchez, Daniel L. & Caldeira, Ken, 2017. "Evaluating relative benefits of different types of R&D for clean energy technologies," Energy Policy, Elsevier, vol. 107(C), pages 532-538.

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