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Will the carbon neutrality target impact China's energy security? A dynamic Bayesian network model

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  • Zhang, Mingming
  • Zhou, Simei
  • Wang, Qunwei
  • Liu, Liyun
  • Zhou, Dequn

Abstract

Efforts to reach the target of carbon neutrality create uncertainty about future energy security in China. This paper predicts the future state of energy security on the path to achieving carbon neutrality. A dynamic Bayesian network model is proposed to describe the dynamic causal relationship between China's energy security and its influencing indicators, including a carbon neutrality factor. The results reveal that, under the carbon neutrality scenario, energy security is expected to be in a Poor state in 2030, with improvement to a Poor+ state in 2040, 2050, and 2060. The energy security state is expected to remain in a Poor state in 2030, 2040, 2050, and 2060 under the existing policy scenario. Carbon neutrality has a small negative impact on energy security in the short term, and a positive impact in the long term. The energy security state is not expected to be fundamentally improved under carbon neutrality scenario because the four dimensions of energy security may not achieve balanced development. These dimensions include availability, applicability, acceptability, and affordability. Crude oil distillation capacity, crude oil price, and coal price are expected to have the greatest impact on energy security.

Suggested Citation

  • Zhang, Mingming & Zhou, Simei & Wang, Qunwei & Liu, Liyun & Zhou, Dequn, 2023. "Will the carbon neutrality target impact China's energy security? A dynamic Bayesian network model," Energy Economics, Elsevier, vol. 125(C).
  • Handle: RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003481
    DOI: 10.1016/j.eneco.2023.106850
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    as
    1. Peter I. Macreadie & Andrea Anton & John A. Raven & Nicola Beaumont & Rod M. Connolly & Daniel A. Friess & Jeffrey J. Kelleway & Hilary Kennedy & Tomohiro Kuwae & Paul S. Lavery & Catherine E. Loveloc, 2019. "Author Correction: The future of Blue Carbon science," Nature Communications, Nature, vol. 10(1), pages 1-1, December.
    2. Böhringer, Christoph & Bortolamedi, Markus, 2015. "Sense and no(n)-sense of energy security indicators," Ecological Economics, Elsevier, vol. 119(C), pages 359-371.
    3. Lauritzen, Steffen L., 1995. "The EM algorithm for graphical association models with missing data," Computational Statistics & Data Analysis, Elsevier, vol. 19(2), pages 191-201, February.
    4. Li, Jianglong & Xie, Chunping & Long, Houyin, 2019. "The roles of inter-fuel substitution and inter-market contagion in driving energy prices: evidences from China’s coal market," LSE Research Online Documents on Economics 102540, London School of Economics and Political Science, LSE Library.
    5. Li, Jinchao & Wang, Lina & Lin, Xiaoshan & Qu, Shen, 2020. "Analysis of China’s energy security evaluation system: Based on the energy security data from 30 provinces from 2010 to 2016," Energy, Elsevier, vol. 198(C).
    6. Lee, Changyong & Song, Bomi & Park, Yongtae, 2015. "An instrument for scenario-based technology roadmapping: How to assess the impacts of future changes on organisational plans," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 285-301.
    7. Martchamadol, Jutamanee & Kumar, S., 2012. "Thailand's energy security indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 6103-6122.
    8. Kruyt, Bert & van Vuuren, D.P. & de Vries, H.J.M. & Groenenberg, H., 2009. "Indicators for energy security," Energy Policy, Elsevier, vol. 37(6), pages 2166-2181, June.
    9. Song, Yan & Zhang, Ming & Sun, Ruifeng, 2019. "Using a new aggregated indicator to evaluate China's energy security," Energy Policy, Elsevier, vol. 132(C), pages 167-174.
    10. Lee, Chien-Chiang & Wang, Chang-song, 2022. "Financial development, technological innovation and energy security: Evidence from Chinese provincial experience," Energy Economics, Elsevier, vol. 112(C).
    11. Ang, B.W. & Choong, W.L. & Ng, T.S., 2015. "A framework for evaluating Singapore’s energy security," Applied Energy, Elsevier, vol. 148(C), pages 314-325.
    12. Zhang, Long & Yu, Jing & Sovacool, Benjamin K. & Ren, Jingzheng, 2017. "Measuring energy security performance within China: Toward an inter-provincial prospective," Energy, Elsevier, vol. 125(C), pages 825-836.
    13. Abdullah, Fahad Bin & Iqbal, Rizwan & Hyder, Syed Irfan & Jawaid, Mohammad, 2020. "Energy security indicators for Pakistan: An integrated approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    14. Prishchepov, Alexander V. & Ponkina, Elena & Sun, Zhanli & Müller, Daniel, 2019. "Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks," Land Use Policy, Elsevier, vol. 80(C), pages 21-31.
    15. Ofosu-Peasah, G. & Ofosu Antwi, E. & Blyth, W., 2021. "Factors characterising energy security in West Africa: An integrative review of the literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    16. Uusitalo, Laura, 2007. "Advantages and challenges of Bayesian networks in environmental modelling," Ecological Modelling, Elsevier, vol. 203(3), pages 312-318.
    17. Zhu, Bo & Deng, Yuanyue & Lin, Renda & Hu, Xin & Chen, Pingshe, 2022. "Energy security: Does systemic risk spillover matter? Evidence from China," Energy Economics, Elsevier, vol. 114(C).
    18. Sovacool, Benjamin K. & Saunders, Harry, 2014. "Competing policy packages and the complexity of energy security," Energy, Elsevier, vol. 67(C), pages 641-651.
    19. Sovacool, Benjamin K., 2013. "An international assessment of energy security performance," Ecological Economics, Elsevier, vol. 88(C), pages 148-158.
    20. Bigerna, Simona & D’Errico, Maria Chiara & Polinori, Paolo, 2021. "Energy security and RES penetration in a growing decarbonized economy in the era of the 4th industrial revolution," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    21. Kamble, Sachin S. & Gunasekaran, Angappa & Kumar, Vikas & Belhadi, Amine & Foropon, Cyril, 2021. "A machine learning based approach for predicting blockchain adoption in supply Chain," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    22. Matsumoto, Ken’ichi & Shiraki, Hiroto, 2018. "Energy security performance in Japan under different socioeconomic and energy conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 391-401.
    23. Sovacool, Benjamin K. & Mukherjee, Ishani, 2011. "Conceptualizing and measuring energy security: A synthesized approach," Energy, Elsevier, vol. 36(8), pages 5343-5355.
    24. Michela Nardo & Michaela Saisana & Andrea Saltelli & Stefano Tarantola & Anders Hoffman & Enrico Giovannini, 2005. "Handbook on Constructing Composite Indicators: Methodology and User Guide," OECD Statistics Working Papers 2005/3, OECD Publishing.
    25. Yao, Lixia & Chang, Youngho, 2014. "Energy security in China: A quantitative analysis and policy implications," Energy Policy, Elsevier, vol. 67(C), pages 595-604.
    26. Mulazzani, Luca & Manrique, Rosa & Malorgio, Giulio, 2017. "The Role of Strategic Behaviour in Ecosystem Service Modelling: Integrating Bayesian Networks With Game Theory," Ecological Economics, Elsevier, vol. 141(C), pages 234-244.
    27. Kabir, Golam & Tesfamariam, Solomon & Francisque, Alex & Sadiq, Rehan, 2015. "Evaluating risk of water mains failure using a Bayesian belief network model," European Journal of Operational Research, Elsevier, vol. 240(1), pages 220-234.
    28. Augutis, Juozas & Krikstolaitis, Ricardas & Martisauskas, Linas & Peciulyte, Sigita, 2012. "Energy security level assessment technology," Applied Energy, Elsevier, vol. 97(C), pages 143-149.
    29. Zhu, Chen & Lee, Chien-Chiang, 2022. "The effects of low-carbon pilot policy on technological innovation: Evidence from prefecture-level data in China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    30. Gasser, Patrick, 2020. "A review on energy security indices to compare country performances," Energy Policy, Elsevier, vol. 139(C).
    31. Zaohong Liu & Zhangzejun Jiang & Chen Xu & Guanjun Cai & Jian Zhan, 2021. "Assessment of provincial waterlogging risk based on entropy weight TOPSIS–PCA method," 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. 108(2), pages 1545-1567, September.
    32. Gnansounou, Edgard, 2008. "Assessing the energy vulnerability: Case of industrialised countries," Energy Policy, Elsevier, vol. 36(10), pages 3734-3744, October.
    33. Augutis, Juozas & Krikštolaitis, Ričardas & Martišauskas, Linas & Urbonienė, Sigita & Urbonas, Rolandas & Ušpurienė, Aistė Barbora, 2020. "Analysis of energy security level in the Baltic States based on indicator approach," Energy, Elsevier, vol. 199(C).
    34. Tutak, Magdalena & Brodny, Jarosław, 2022. "Analysis of the level of energy security in the three seas initiative countries," Applied Energy, Elsevier, vol. 311(C).
    35. Luzzati, T. & Gucciardi, G., 2015. "A non-simplistic approach to composite indicators and rankings: an illustration by comparing the sustainability of the EU Countries," Ecological Economics, Elsevier, vol. 113(C), pages 25-38.
    36. Li, Yingzhu & Shi, Xunpeng & Yao, Lixia, 2016. "Evaluating energy security of resource-poor economies: A modified principle component analysis approach," Energy Economics, Elsevier, vol. 58(C), pages 211-221.
    37. Le Coq, Chloé & Paltseva, Elena, 2009. "Measuring the security of external energy supply in the European Union," Energy Policy, Elsevier, vol. 37(11), pages 4474-4481, November.
    38. Peter I. Macreadie & Andrea Anton & John A. Raven & Nicola Beaumont & Rod M. Connolly & Daniel A. Friess & Jeffrey J. Kelleway & Hilary Kennedy & Tomohiro Kuwae & Paul S. Lavery & Catherine E. Loveloc, 2019. "The future of Blue Carbon science," Nature Communications, Nature, vol. 10(1), pages 1-13, December.
    39. Wang, Qiang & Zhou, Kan, 2017. "A framework for evaluating global national energy security," Applied Energy, Elsevier, vol. 188(C), pages 19-31.
    40. Delen, Dursun & Topuz, Kazim & Eryarsoy, Enes, 2020. "Development of a Bayesian Belief Network-based DSS for predicting and understanding freshmen student attrition," European Journal of Operational Research, Elsevier, vol. 281(3), pages 575-587.
    41. Sachin Kamble & Angappa Gunasekaran & Vikas Kumar & Amine Belhadi & Cyril Foropon, 2021. "A machine learning based approach for predicting blockchain adoption in supply chain," Post-Print hal-03539287, HAL.
    42. Zhang, Long & Bai, Wuliyasu & Xiao, Huijuan & Ren, Jingzheng, 2021. "Measuring and improving regional energy security: A methodological framework based on both quantitative and qualitative analysis," Energy, Elsevier, vol. 227(C).
    43. McVittie, Alistair & Norton, Lisa & Martin-Ortega, Julia & Siameti, Ioanna & Glenk, Klaus & Aalders, Inge, 2015. "Operationalizing an ecosystem services-based approach using Bayesian Belief Networks: An application to riparian buffer strips," Ecological Economics, Elsevier, vol. 110(C), pages 15-27.
    44. Li, Jianglong & Xie, Chunping & Long, Houyin, 2019. "The roles of inter-fuel substitution and inter-market contagion in driving energy prices: Evidences from China’s coal market," Energy Economics, Elsevier, vol. 84(C).
    45. Erahman, Qodri Febrilian & Purwanto, Widodo Wahyu & Sudibandriyo, Mahmud & Hidayatno, Akhmad, 2016. "An assessment of Indonesia's energy security index and comparison with seventy countries," Energy, Elsevier, vol. 111(C), pages 364-376.
    46. Gómez-Limón, José A. & Sanchez-Fernandez, Gabriela, 2010. "Empirical evaluation of agricultural sustainability using composite indicators," Ecological Economics, Elsevier, vol. 69(5), pages 1062-1075, March.
    47. Piotr Kosowski & Katarzyna Kosowska & Wojciech Nawalaniec, 2022. "Application of Bayesian Networks in Modeling of Underground Gas Storage Energy Security," Energies, MDPI, vol. 15(14), pages 1-24, July.
    48. Mamidi, Varsha & Marisetty, Vijaya B. & Thomas, Ewan Nikhil, 2021. "Clean energy transition and intertemporal socio-economic development: Evidence from an emerging market," Energy Economics, Elsevier, vol. 101(C).
    49. Ang, B.W. & Choong, W.L. & Ng, T.S., 2015. "Energy security: Definitions, dimensions and indexes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1077-1093.
    50. Liu, Guiwen & Fu, Xinyue & Han, Qingye & Huang, Ruopeng & Zhuang, Taozhi, 2021. "Research on the collaborative governance of urban regeneration based on a Bayesian network: The case of Chongqing," Land Use Policy, Elsevier, vol. 109(C).
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