Evolution of China’s "dual-carbon" policy: a content topic mining analysis of central government documents (2007-2024)

• Autorzy: He Yiliu , Sun Jie , Tang Mincong , He Yu , Zhu Yabin

Identyfikatory

DOI

10.2478/eces-2025-0001

• Języki publikacji: EN

Abstrakty

EN

This study examines the evolution of China’s "dual-carbon" policy framework from 2007 to 2024 through content topic mining. Using NLP and LDA topic modelling, we analysed 235 policy documents to identify four key topics: market mechanisms, monitoring systems, support systems, and emissions management. Our findings reveal shifts in policy intensity and topic focus over time, providing insights into China’s strategies for achieving carbon neutrality. This analysis highlights the importance of comprehensive support and monitoring systems and offers practical guidance for policymakers to strengthen the dual-carbon framework as China progresses towards its carbon targets.

Słowa kluczowe

EN

carbon peaking; carbon neutrality; policy documentation; LDA topic model; topic extraction; textual analysis

PL

szczyt emisji; węgiel; neutralność węglowa; dokumentacja; model; ekstrakcja; analiza tekstu

• Wydawca: Towarzystwo Chemii i Inżynierii Ekologicznej
• Czasopismo: Ecological Chemistry and Engineering. S
• Rocznik: 2025
• Tom: Vol. 32, nr 1
• Strony: 7--25
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wykr.

Twórcy

autor

He Yiliu

• Beijing Union University, No. 99, North Fourth Ring Road East, Chaoyang District, Beijing, China, 100101

• https://orcid.org/0009-0009-5288-8340

autor

Sun Jie

• Beijing Union University, No. 99, North Fourth Ring Road East, Chaoyang District, Beijing, China, 100101

• https://orcid.org/0000-0002-7138-7535

autor

Tang Mincong

• Beijing Jiaotong University, No. 3, Shangyuan Village, Haidian District, Beijing, China, 100044

• https://orcid.org/0000-0003-1367-4242

autor

He Yu

• Beijing Union University, No. 99, North Fourth Ring Road East, Chaoyang District, Beijing, China, 100101

• https://orcid.org/0009-0007-3659-8568%2C

autor

Zhu Yabin

• Beijing Union University, No. 99, North Fourth Ring Road East, Chaoyang District, Beijing, China, 100101

• https://orcid.org/0009-0001-1556-1893

Bibliografia

• [1] Abbasi S, Choukolaei HA. A systematic review of green supply chain network design literature focusing on carbon policy. Decision Analytics J. 2023;6:100189. DOI: 10.1016/j.dajour.2023.100189.
• [2] Liu Z, Kong L, Xu K. The impact of public environmental preferences and government environmental regulations on corporate pollution emissions. J Environ Manage. 2024;351:119766. DOI: 10.1016/j.jenvman.2023.119766.
• [3] Liu Z, Zhu H, Wilson J, Adams M, Walker TR, Xu YY, et al. Achieving China’s ‘double carbon goals’, an analysis of the potential and cost of carbon capture in the resource-based area: North-western China. Energy. 2024;292:130441. DOI: 10.1016/j.energy.2024.130441.
• [4] Mahalik MK, Le TH, Le HC, Subhadra S. Does higher education level matter for the reduction of non-renewable energy demand? Insights from the world’s largest greenhouse gas emitters. J Economic Develop. 2022;47(3):29-56. DOI: 10.35866/caujed.2022.47.3.002.
• [5] Guan Y, Shan Y, Huang Q, Chen H, Wang D, Hubacek K. Assessment to China’s recent emission pattern shifts. Earth’s Future. 2021;9(11):e2021EF002241. DOI: 10.1029/2021EF002241.
• [6] Wang J, Jia L, Wang Y, Wang P, Huang L. Diffusion of “dual-carbon” policies among Chinese cities: A network evolution analysis. Energy. 2024;300:131514. DOI: 10.1016/j.energy.2024.131514.
• [7] Zhou MX, Li X. Low-carbon production control and resource allocation optimization. Int J Simul Model. 2022;21(2):352-63. DOI: 10.2507/IJSIMM21-2-CO9.
• [8] Hussain J, Lee CC. A green path towards sustainable development: optimal behavior of the duopoly game model with carbon neutrality instruments. Sust Develop. 2022;30(6):1523-41. DOI: 10.1002/sd.2325.
• [9] Jiang BH, Raza MY. Research on China’s renewable energy policies under the dual-carbon goals: A political discourse analysis. Energy Strat Rev. 2023;48:101118. DOI: 10.1016/j.esr.2023.101118.
• [10] Li T, Zeng S, Wu S, Peng Q. Construction of a corporate carbon disclosure indicator system and quality evaluation: evidence from resource-based listed companies. Sustainability. 2025;17(1):100. DOI: 10.3390/su17010100.
• [11] Feng Y, Li L, Chen H. Carbon emission reduction effect of digital infrastructure: From the “Broadband China” Strategy. Ecol Chem Eng S. 2023;30(2):283-9. DOI: 10.2478/eces-2023-0030.
• [12] Guo JH, Sun LY, Yan LX, Zhou TQ. Analysis of the evolutionary game of decisions to reduce carbon emissions by duopoly manufacturers under carbon tax policy. Environ Eng Manage J (EEMJ). 2021;20(4). DOI: 10.30638/eemj.2021.063.
• [13] Arcila A, Baker JD. Evaluating carbon tax policy: A methodological reassessment of a natural experiment. Energy Economics. 2022;111:106053. DOI: 10.1016/j.eneco.2022.106053.
• [14] Xu J, Mei F, Lu C, Zhang B, Wang M. Provincial climate action index and its use for assessing dual carbon policy of 31 provinces in China. Asia Pacific Policy Stud. 2025;12(1):e70014. DOI: 10.1002/app5.70014.
• [15] Jing Z, Feng H. Selection and application of China environmental sustainability policy instrumental: a quantitative analysis based on “Dual Carbon” policy text[J]. Front Environ Sci. 2024;12:1418253. DOI: 10.3389/fenvs.2024.1418253.
• [16] Niu M, Xu DD. Research on the low carbon of GFD: From the perspective of GL based on environmental protection. Ecol Chem Eng S. 2023;30(1):93-101. DOI: 10.2478/eces-2023-0007.
• [17] Huang J, Zhao ZY, Li GH. The impacts of carbon emissions trading scheme on green finance: evidence from China. Environ Sci Pollut Res. 2024;31:13780-99. DOI: 10.1007/s11356-024-32064-z.
• [18] Li R. Evaluating the development path of manufacturing industry under carbon neutralisation. Ecol Chem Eng S. 2023;30(4):581-93. DOI: 10.2478/eces-2023-0042.
• [19] Feng J, Xu SX, Li M. A novel multi-criteria decision-making method for selecting the site of an electric-vehicle charging station from a sustainable perspective. Sust Cities Soc. 2021;65:102623. DOI: 10.1016/j.scs.2020.102623.
• [20] Nianchu H, Junwei J, Jiangbo X, Subin W. Big data analysis of policy coordination paths based on latent dirichlet allocation model and fuzzy-set qualitative comparative analysis method. China Communic. 2024;21(12):309-25. DOI: 10.23919/JCC.fa.2024-0123.202412.
• [21] Lin LX, Chen YL. Evolution of Chinese Woriginal-innovation talent policies: a topic modelling approach. Technol Analysis Strategic Manage. 2023;36(12):4128-43. DOI: 10.1080/09537325.2023.2242513.
• [22] Gan, J, Qi Y. Selection of the optimal number of topics for LDA topic model - Taking patent policy analysis as an example. Entropy. 2021;23(10):1301. DOI: 10.3390/e23101301.
• [23] Tang Y, Su L. Mapping the evolving landscape of library-related policies in China: A topic modeling approach. Serials Rev. 2024;50(3-4):135-48. DOI: 10.1080/00987913.2024.2411667.
• [24] Chen Q, Tang Y, Lu B. Exploring the evolution trends of port integration policy in China by a text mining approach. Transport Policy. 2024;153:159-72. DOI: 10.1016/j.tranpol.2024.05.020.
• [25] Hagen L. Content analysis of e-petitions with topic modeling: How to train and evaluate LDA models? Information Processing Manage. 2018;54(6):1292-307. DOI: 10.1016/j.ipm.2018.05.006.
• [26] O’Brien G. A blueprint for a safer planet: How to manage climate change and create a new era of progress and prosperity. Int J Environ Stud. 2012;69(2):402-5. DOI: 10.1080/00207233.2012.667220.
• [27] Pizer WA, Zhang X. China’s new national carbon market. AEA Papers Proc, 2014 Broadway. Tennessee: Am Econ Assoc. 2018. Available from: https://www.aeaweb.org/articles?id=10.1257/pandp.20181029.
• [28] Zhang YJ, Liu JY, Woodward RT. Has Chinese certified emission reduction trading reduced rural poverty in China? Australian J Agricult Resource Economics. 2023;67(3):438-58. DOI: 10.1111/1467-8489.12515.
• [29] Chang Y, Wang S. Collaborative integration or policy diversification: the influence of policy synergy on regional green development. Front Environ Sci. 2023;11:1281357. DOI: 10.3389/fenvs.2023.1281357.
• [30] Zhang C, Wang Z, Li Y, Zhang D, Balezentis T. Can green credit policy with dual-carbon targets make highly polluting enterprises “green”: A micro-analysis of total factor productivity growth. J Environ Manage. 2024;367:121981. DOI: 10.1016/j.jenvman.2024.121981.

Uwagi

Prof. Mincong Tang presented paper as a Keynote Lecture during the 33th annual Central European Conference ECOpole’24 in Warszawa (16-19.10.2024)