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Uncertainty in the prediction and management of CO2 emissions: a robust minimum entropy approach

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  • Shaojian Qu

    (University of Shanghai for Science and Technology)

  • Hao Cai

    (University of Shanghai for Science and Technology)

  • Dandan Xu

    (University of Shanghai for Science and Technology)

  • Nabé Mohamed

    (University of Shanghai for Science and Technology)

Abstract

CO2 emission control is one of the most vital parts of environment management. China owns the largest CO2 emission in the world. For the sake of clarifying China’s emission sharing responsibilities and set emission reduction targets, a considerable number of scholars have worked to project China’s embodied CO2 emission. Single Regional Input–output (SRIO) model is widely used for investigating CO2 emission issues. Considering the ubiquitous time lag of input–output data, entropy optimization model is introduced to estimate SRIO tables. However, the uncertainty in the corresponding model parameters necessarily has a serious impact on the estimation results. To consider the impact of uncertainties, we introduce robust optimization into entropy minimization model for SRIO table estimation. Based on three different uncertainty sets, we constructed three robust entropy minimization models to construct 2016 China’s SRIO tables and calculate China’s embodied CO2 emission based on those tables. The estimation results show that the model based on the ball uncertainty set has the best performance with less uncertainty, while the model based on the budgeted uncertainty set performances more ‘robust’ facing greater uncertainty, which means its performance is less volatile at different levels of uncertainty. Moreover, the embodied carbon emission is predicted to reach 9632.57 Mt CO2. The top emitter is the sector of supply of electricity, heating and water, which accounts for more than 40% of total CO2 emission.

Suggested Citation

  • Shaojian Qu & Hao Cai & Dandan Xu & Nabé Mohamed, 2021. "Uncertainty in the prediction and management of CO2 emissions: a robust minimum entropy approach," 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. 107(3), pages 2419-2438, July.
    • Handle: RePEc:spr:nathaz:v:107:y:2021:i:3:d:10.1007_s11069-020-04434-6
    DOI: 10.1007/s11069-020-04434-6
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    1. Turner, Karen & Lenzen, Manfred & Wiedmann, Thomas & Barrett, John, 2007. "Examining the global environmental impact of regional consumption activities -- Part 1: A technical note on combining input-output and ecological footprint analysis," Ecological Economics, Elsevier, vol. 62(1), pages 37-44, April.
    2. Randall Jackson & Alan Murray, 2004. "Alternative Input-Output Matrix Updating Formulations," Economic Systems Research, Taylor & Francis Journals, vol. 16(2), pages 135-148.
    3. Druckman, Angela & Jackson, Tim, 2009. "The carbon footprint of UK households 1990-2004: A socio-economically disaggregated, quasi-multi-regional input-output model," Ecological Economics, Elsevier, vol. 68(7), pages 2066-2077, May.
    4. Sergio Rey & Guy West & Mark Janikas, 2004. "Uncertainty in Integrated Regional Models," Economic Systems Research, Taylor & Francis Journals, vol. 16(3), pages 259-277.
    5. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    6. Tan, Raymond R. & Aviso, Kathleen B. & Barilea, Ivan U. & Culaba, Alvin B. & Cruz, Jose B., 2012. "A fuzzy multi-regional input–output optimization model for biomass production and trade under resource and footprint constraints," Applied Energy, Elsevier, vol. 90(1), pages 154-160.
    7. JiYoung Park & Peter Gordon & James Moore & Harry Richardson, 2009. "A two-step approach to estimating state-to-state commodity trade flows," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(4), pages 1033-1072, December.
    8. Hiramatsu, Tomoru & Inoue, Hiroki & Kato, Yasuhiko, 2016. "Estimation of interregional input–output table using hybrid algorithm of the RAS method and real-coded genetic algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 385-402.
    9. Balster, Andreas & Friedrich, Hanno, 2019. "Dynamic freight flow modelling for risk evaluation in food supply," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 4-22.
    10. Harry C. Wilting, 2012. "Sensitivity And Uncertainty Analysis In Mrio Modelling; Some Empirical Results With Regard To The Dutch Carbon Footprint," Economic Systems Research, Taylor & Francis Journals, vol. 24(2), pages 141-171, September.
    11. Malcolm Beynon & Max Munday & Annette Roberts, 2005. "Ranking sectors using fuzzy output multipliers," Economic Systems Research, Taylor & Francis Journals, vol. 17(3), pages 237-253.
    12. Lenzen, Manfred, 1998. "Primary energy and greenhouse gases embodied in Australian final consumption: an input-output analysis," Energy Policy, Elsevier, vol. 26(6), pages 495-506, May.
    13. Zhang, Pengfei & Cai, Wenqiu & Yao, Mingtao & Wang, Zhiyou & Yang, Luzhen & Wei, Wendong, 2020. "Urban carbon emissions associated with electricity consumption in Beijing and the driving factors," Applied Energy, Elsevier, vol. 275(C).
    14. McGregor, Peter G. & Swales, J. Kim & Turner, Karen, 2008. "The CO2 'trade balance' between Scotland and the rest of the UK: Performing a multi-region environmental input-output analysis with limited data," Ecological Economics, Elsevier, vol. 66(4), pages 662-673, July.
    15. Wang, Xinchang, 2016. "Stochastic resource allocation for containerized cargo transportation networks when capacities are uncertain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 334-357.
    16. Wiedmann, Thomas & Wilting, Harry C. & Lenzen, Manfred & Lutter, Stephan & Palm, Viveka, 2011. "Quo Vadis MRIO? Methodological, data and institutional requirements for multi-region input-output analysis," Ecological Economics, Elsevier, vol. 70(11), pages 1937-1945, September.
    17. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-271, August.
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