IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v112y2022ics0140988322002766.html
   My bibliography  Save this article

CEEEA2.0 model: A dynamic CGE model for energy-environment-economy analysis with available data and code

Author

Listed:
  • Jia, Zhijie
  • Lin, Boqiang

Abstract

The computable general equilibrium (CGE) model is a good instrument for counterfactual analysis. This kind of model is widely used in energy and environmental economics. However, the CGE models used in different studies vary greatly. As the construction of the model is a massive project, and some model settings may be wrong, it is easy to get unreasonable equilibrium solutions. Another, the code and data of most CGE models are not transparent. This paper aims to break the barrier of the CGE model criticized as “black box” and provide researchers with a CGE model with available code and data: China Energy-Environment-Economic Analysis 2.0 (CEEEA2.0) model. Taking carbon tax and energy tax as examples, this paper analyzes the impact of carbon neutrality constraints on China from 2018 to 2060. Compared with the traditional CGE model, this paper describes energy and carbon emissions more closely, couples the environmental cost into the model more scientifically and the embodied carbon emissions in trade, and provides novel counterfactual analysis strategies. In addition, this paper introduces how to extend and adjust the model to facilitate the majority of modelers to build a CGE model according to different needs.

Suggested Citation

  • Jia, Zhijie & Lin, Boqiang, 2022. "CEEEA2.0 model: A dynamic CGE model for energy-environment-economy analysis with available data and code," Energy Economics, Elsevier, vol. 112(C).
  • Handle: RePEc:eee:eneeco:v:112:y:2022:i:c:s0140988322002766
    DOI: 10.1016/j.eneco.2022.106117
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988322002766
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2022.106117?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Angel Aguiar & Badri Narayanan & Robert McDougall, 2016. "An Overview of the GTAP 9 Data Base," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 1(1), pages 181-208, June.
    2. Choi, Yongrok & Liu, Yu & Lee, Hyoungseok, 2017. "The economy impacts of Korean ETS with an emphasis on sectoral coverage based on a CGE approach," Energy Policy, Elsevier, vol. 109(C), pages 835-844.
    3. Yunguang Chen & Marc A. C. Hafstead, 2019. "Using A Carbon Tax To Meet Us International Climate Pledges," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 1-19, February.
    4. Beck, Marisa & Rivers, Nicholas & Yonezawa, Hidemichi, 2016. "A rural myth? Sources and implications of the perceived unfairness of carbon taxes in rural communities," Ecological Economics, Elsevier, vol. 124(C), pages 124-134.
    5. Böhringer, Christoph & Fischer, Carolyn & Rosendahl, Knut Einar, 2014. "Cost-effective unilateral climate policy design: Size matters," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 318-339.
    6. Narasimha D. Rao & Bas J. van Ruijven & Keywan Riahi & Valentina Bosetti, 2017. "Improving poverty and inequality modelling in climate research," Nature Climate Change, Nature, vol. 7(12), pages 857-862, December.
    7. Peter B. Dixon & Maureen Rimmer & Nhi Tran, 2020. "Creating a Disaggregated CGE Model for Trade Policy Analysis: GTAP-MVH," Foreign Trade Review, , vol. 55(1), pages 42-79, February.
    8. Sifiso M. Ntombela & Heinrich R. Bohlmann & Mmatlou W. Kalaba, 2019. "Greening the South Africa’s Economy Could Benefit the Food Sector: Evidence from a Carbon Tax Policy Assessment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 891-910, October.
    9. Böhringer, Christoph & Rivers, Nicholas & Yonezawa, Hidemichi, 2016. "Vertical fiscal externalities and the environment," Journal of Environmental Economics and Management, Elsevier, vol. 77(C), pages 51-74.
    10. Lin, Boqiang & Sun, Chuanwang, 2010. "Evaluating carbon dioxide emissions in international trade of China," Energy Policy, Elsevier, vol. 38(1), pages 613-621, January.
    11. Erwin Corong & Thomas Hertel & Robert McDougall & Marinos Tsigas & Dominique van der Mensbrugghe, 2017. "The Standard GTAP Model, version 7," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 2(1), pages 1-119, June.
    12. Nadim Ahmad & Andrew Wyckoff, 2003. "Carbon Dioxide Emissions Embodied in International Trade of Goods," OECD Science, Technology and Industry Working Papers 2003/15, OECD Publishing.
    13. Boqiang Lin & Zhijie Jia, 2020. "Supply control vs. demand control: why is resource tax more effective than carbon tax in reducing emissions?," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    14. Jia, Zhijie & Wen, Shiyan & Sun, Zao, 2022. "Current relationship between coal consumption and the economic development and China's future carbon mitigation policies," Energy Policy, Elsevier, vol. 162(C).
    15. Glyn Wittwer & Mark Horridge, 2010. "Bringing Regional Detail to a CGE Model using Census Data," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(2), pages 229-255.
    16. Octaviano, Claudia & Paltsev, Sergey & Gurgel, Angelo Costa, 2016. "Climate change policy in Brazil and Mexico: Results from the MIT EPPA model," Energy Economics, Elsevier, vol. 56(C), pages 600-614.
    17. Xu, Yan & Masui, Toshihiko, 2009. "Local air pollutant emission reduction and ancillary carbon benefits of SO2 control policies: Application of AIM/CGE model to China," European Journal of Operational Research, Elsevier, vol. 198(1), pages 315-325, October.
    18. Cao, Jing & Dai, Hancheng & Li, Shantong & Guo, Chaoyi & Ho, Mun & Cai, Wenjia & He, Jianwu & Huang, Hai & Li, Jifeng & Liu, Yu & Qian, Haoqi & Wang, Can & Wu, Libo & Zhang, Xiliang, 2021. "The general equilibrium impacts of carbon tax policy in China: A multi-model comparison," Energy Economics, Elsevier, vol. 99(C).
    19. Meng, Bo & Liu, Yu & Andrew, Robbie & Zhou, Meifang & Hubacek, Klaus & Xue, Jinjun & Peters, Glen & Gao, Yuning, 2018. "More than half of China’s CO2 emissions are from micro, small and medium-sized enterprises," Applied Energy, Elsevier, vol. 230(C), pages 712-725.
    20. Glen Peters & Robbie Andrew & James Lennox, 2011. "Constructing An Environmentally-Extended Multi-Regional Input-Output Table Using The Gtap Database," Economic Systems Research, Taylor & Francis Journals, vol. 23(2), pages 131-152.
    21. Jia, Zhijie & Lin, Boqiang, 2021. "How to achieve the first step of the carbon-neutrality 2060 target in China: The coal substitution perspective," Energy, Elsevier, vol. 233(C).
    22. Frances C. Moore & Uris Baldos & Thomas Hertel & Delavane Diaz, 2017. "New science of climate change impacts on agriculture implies higher social cost of carbon," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    23. Kirsten S. Wiebe & Norihiko Yamano, 2016. "Estimating CO2 Emissions Embodied in Final Demand and Trade Using the OECD ICIO 2015: Methodology and Results," OECD Science, Technology and Industry Working Papers 2016/5, OECD Publishing.
    24. Liu, Yu & Lu, Yingying, 2015. "The Economic impact of different carbon tax revenue recycling schemes in China: A model-based scenario analysis," Applied Energy, Elsevier, vol. 141(C), pages 96-105.
    25. David García-León & Ana Casanueva & Gabriele Standardi & Annkatrin Burgstall & Andreas D. Flouris & Lars Nybo, 2021. "Current and projected regional economic impacts of heatwaves in Europe," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yao Wang & Qiang Yang & Xuenan Wu & Ruichen Wang & Tilei Gao & Yuntong Liu, 2023. "A Study of Trends in Low-Energy Development Patterns in China: A Data-Driven Approach," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    2. Beibei Cheng & Peng Wang & Songyan Ren, 2023. "An Evaluation on Sectoral Competitiveness of Guangdong in China: The Role of Carbon Taxation Policy," Energies, MDPI, vol. 16(4), pages 1-21, February.
    3. Yunus Emre Ayözen & Hakan İnaç & Abdulkadir Atalan & Cem Çağrı Dönmez, 2022. "E-Scooter Micro-Mobility Application for Postal Service: The Case of Turkey for Energy, Environment, and Economy Perspectives," Energies, MDPI, vol. 15(20), pages 1-22, October.
    4. Yao, Xin & Li, Xiyan, 2023. "Dark side of resource dependence: Inadequate entrepreneurship," Resources Policy, Elsevier, vol. 85(PA).
    5. Xuesong Sun & Chunwang Zhang & Qi Tan, 2023. "Factors Influencing the Coordinated Development of Urbanization and Its Spatial Effects: A Case Study of Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    6. Lin, Boqiang & Wang, Siquan, 2023. "The performance of specialized and oriented diversified firms: A comparative analysis from the targeted expansion of renewable energy business of listed companies," International Review of Financial Analysis, Elsevier, vol. 89(C).
    7. Chyong, Chi Kong & Newbery, David, 2022. "A unit commitment and economic dispatch model of the GB electricity market – Formulation and application to hydro pumped storage," Energy Policy, Elsevier, vol. 170(C).
    8. Jia, Zhijie & Lin, Boqiang, 2023. "Primary fossil energy cost and price regulation in energy processing sectors---the perspective of price regulation market with Chinese characteristics," Resources Policy, Elsevier, vol. 83(C).
    9. Qiujie Sun & Jingyu Zhou & Zhou Lan & Xiangyang Ma, 2023. "The Economic Influence of Energy Storage Construction in the Context of New Power Systems," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    10. Liao, Ling & Diaz-Rainey, Ivan & Kuruppuarachchi, Duminda & Gehricke, Sebastian, 2023. "The role of fundamentals and policy in New Zealand's carbon prices," Energy Economics, Elsevier, vol. 124(C).
    11. Shenhai Huang & Chao Du & Xian Jin & Daini Zhang & Shiyan Wen & Zhijie Jia, 2023. "The Impact of Carbon Emission Trading on Renewable Energy: A Comparative Analysis Based on the CGE Model," Sustainability, MDPI, vol. 15(16), pages 1-16, August.
    12. Chishti, Muhammad Zubair & Sinha, Avik & Zaman, Umer & Shahzad, Umer, 2023. "Exploring the dynamic connectedness among energy transition and its drivers: Understanding the moderating role of global geopolitical risk," Energy Economics, Elsevier, vol. 119(C).
    13. Yilun Luo & Esmaeil Ahmadi & Benjamin C. McLellan & Tetsuo Tezuka, 2022. "Will Capacity Mechanisms Conflict with Carbon Pricing?," Energies, MDPI, vol. 15(24), pages 1-25, December.
    14. Jia, Zhijie, 2023. "The hidden benefit: Emission trading scheme and business performance of downstream enterprises," Energy Economics, Elsevier, vol. 117(C).
    15. Jia, Zhijie & Lin, Boqiang & Wen, Shiyan, 2022. "Electricity market Reform: The perspective of price regulation and carbon neutrality," Applied Energy, Elsevier, vol. 328(C).
    16. Shenhai Huang & Chao Du & Xian Jin & Daini Zhang & Shiyan Wen & Yu’an Wang & Zhenyu Cheng & Zhijie Jia, 2022. "The Boundary of Porter Hypothesis: The Energy and Economic Impact of China’s Carbon Neutrality Target in 2060," Energies, MDPI, vol. 15(23), pages 1-18, December.
    17. Sun, Chuanwang & Xu, Zhehong & Zheng, Hongwei, 2023. "Green transformation of the building industry and the government policy effects: Policy simulation based on the DSGE model," Energy, Elsevier, vol. 268(C).
    18. Jia, Zhijie & Wen, Shiyan & Liu, Yu, 2022. "China's urban-rural inequality caused by carbon neutrality: A perspective from carbon footprint and decomposed social welfare," Energy Economics, Elsevier, vol. 113(C).
    19. Xuesong Sun & Muru Li & Suyun Hou & Chunwang Zhang, 2023. "Research on the Spatial Network Characteristics, Synergistic Emission Reduction Effects and Mechanisms of Carbon Emission in Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 15(10), pages 1-16, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Taran Faehn & Gabriel Bachner & Robert Beach & Jean Chateau & Shinichiro Fujimori & Madanmohan Ghosh & Meriem Hamdi-Cherif & Elisa Lanzi & Sergey Paltsev & Toon Vandyck & Bruno Cunha & Rafael Garaffa , 2020. "Capturing Key Energy and Emission Trends in CGE models: Assessment of Status and Remaining Challenges," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 196-272, June.
    2. Jia, Zhijie & Lin, Boqiang & Liu, Xiying, 2023. "Rethinking the equity and efficiency of carbon tax: A novel perspective," Applied Energy, Elsevier, vol. 346(C).
    3. Su, Bin & Ang, B.W., 2013. "Input–output analysis of CO2 emissions embodied in trade: Competitive versus non-competitive imports," Energy Policy, Elsevier, vol. 56(C), pages 83-87.
    4. Rodríguez, M. & Teotónio, C. & Roebeling, P. & Fortes, P., 2023. "Targeting energy savings? Better on primary than final energy and less on intensity metrics," Energy Economics, Elsevier, vol. 125(C).
    5. Zhang, Jinzhu & Liu, Yu & Zhou, Meifang & Chen, Boyang & Liu, Yawen & Cheng, Baodong & Xue, Jinjun & Zhang, Wei, 2022. "Regulatory effect of improving environmental information disclosure under environmental tax in China: From the perspectives of temporal and industrial heterogeneity," Energy Policy, Elsevier, vol. 164(C).
    6. Gavrilova, Olga & Vilu, Raivo, 2012. "Production-based and consumption-based national greenhouse gas inventories: An implication for Estonia," Ecological Economics, Elsevier, vol. 75(C), pages 161-173.
    7. Jia, Zhijie & Wen, Shiyan & Liu, Yu, 2022. "China's urban-rural inequality caused by carbon neutrality: A perspective from carbon footprint and decomposed social welfare," Energy Economics, Elsevier, vol. 113(C).
    8. Misato Sato, 2014. "Embodied Carbon In Trade: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 831-861, December.
    9. Jia, Zhijie & Lin, Boqiang & Wen, Shiyan, 2022. "Electricity market Reform: The perspective of price regulation and carbon neutrality," Applied Energy, Elsevier, vol. 328(C).
    10. Shuang Liang & Xinyue Lin & Xiaoxue Liu & Haoran Pan, 2022. "The Pathway to China’s Carbon Neutrality Based on an Endogenous Technology CGE Model," IJERPH, MDPI, vol. 19(10), pages 1-22, May.
    11. Albert, Osei-Owusu Kwame & Marianne, Thomsen & Jonathan, Lindahl & Nino, Javakhishvili Larsen & Dario, Caro, 2020. "Tracking the carbon emissions of Denmark's five regions from a producer and consumer perspective," Ecological Economics, Elsevier, vol. 177(C).
    12. Eivind Lekve Bjelle & Johannes Többen & Konstantin Stadler & Thomas Kastner & Michaela C. Theurl & Karl-Heinz Erb & Kjartan-Steen Olsen & Kirsten S. Wiebe & Richard Wood, 2020. "Adding country resolution to EXIOBASE: impacts on land use embodied in trade," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-25, December.
    13. Marques, Alexandra & Rodrigues, João & Domingos, Tiago, 2013. "International trade and the geographical separation between income and enabled carbon emissions," Ecological Economics, Elsevier, vol. 89(C), pages 162-169.
    14. Chen, G.Q. & Chen, Z.M., 2011. "Greenhouse gas emissions and natural resources use by the world economy: Ecological input–output modeling," Ecological Modelling, Elsevier, vol. 222(14), pages 2362-2376.
    15. Liu, Ying & Jayanthakumaran, Kankesu & Neri, Frank, 2013. "Who is responsible for the CO2 emissions that China produces?," Energy Policy, Elsevier, vol. 62(C), pages 1412-1419.
    16. Nelly Exbrayat & Stéphane Riou & Skerdilajda Zanaj, 2015. "Carbon tax, pollution and the spatial location of heterogeneous firms," Post-Print halshs-01211431, HAL.
    17. Nelson Villoria & Rachael Garrett & Florian Gollnow & Kimberly Carlson, 2022. "Leakage does not fully offset soy supply-chain efforts to reduce deforestation in Brazil," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    18. Sun, Xiaohua & Ren, Junlin & Wang, Yun, 2022. "The impact of resource taxation on resource curse: Evidence from Chinese resource tax policy," Resources Policy, Elsevier, vol. 78(C).
    19. Zhong, Zhangqi & Jiang, Lei & Zhou, Peng, 2018. "Transnational transfer of carbon emissions embodied in trade: Characteristics and determinants from a spatial perspective," Energy, Elsevier, vol. 147(C), pages 858-875.
    20. Mun Ho & Wolfgang Britz & Ruth Delzeit & Florian Leblanc & Roberto Roson & Franziska Schuenemann & Matthias Weitzel, 2020. "Modelling Consumption and Constructing Long-Term Baselines in Final Demand," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 5(1), pages 63-108, June.

    More about this item

    Keywords

    Computable General Equilibrium (CGE) model; China-Energy-Environment-Economy Analysis (CEEEA); Available data and code; Carbon neutrality; Carbon tax;
    All these keywords.

    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:112:y:2022:i:c:s0140988322002766. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.