REFERENCES
1. Yang, J.; Zhao, Z.; Fang, W.; Ma, Z.; Liu, M.; Bi, J. China's progress in synergetic governance of climate change and multiple environmental issues. PNAS. Nexus. 2024, 3, pgae351.
2. Zhu, J.; Wu, S.; Xu, J. Synergy between pollution control and carbon reduction: China's evidence. Energy. Econ. 2023, 119, 106541.
3. Jiang, T.; Zhang, R.; Zhang, F.; Shi, G.; Wang, C. Assessing provincial coal reliance for just low-carbon transition in China. Environ. Impact. Assess. Rev. 2023, 102, 107198.
4. Chen, X. H.; Tee, K.; Elnahass, M.; Ahmed, R. Assessing the environmental impacts of renewable energy sources: a case study on air pollution and carbon emissions in China. J. Environ. Manag. 2023, 345, 118525.
5. Kumar, P.; Druckman, A.; Gallagher, J.; et al. The nexus between air pollution, green infrastructure and human health. Environ. Int. 2019, 133, 105181.
6. Luo, X.; Wang, S.; Liu, C.; et al. Concentration distribution and group disparity of traffic-derived NO2 exposure in Baoshan District. Carbon. Footprints. 2025, 4, 14.
7. Zhang, Z.; Chen, Z.; Zhang, J.; et al. Municipal solid waste management challenges in developing regions: a comprehensive review and future perspectives for Asia and Africa. Sci. Total. Environ. 2024, 930, 172794.
8. Kibria, M. G.; Masuk, N. I.; Safayet, R.; Nguyen, H. Q.; Mourshed, M. Plastic waste: challenges and opportunities to mitigate pollution and effective management. Int. J. Environ. Res. 2023, 17, 20.
9. Dong, Z.; Wang, B.; Shao, C. The historical evolution and modernization path of China’s ecological and environmental governance. Energy. Environ. Sustain. 2025, 1, 100014.
10. Pang, G.; Li, L.; Guo, D. Does the integration of the digital economy and the real economy enhance urban green emission reduction efficiency? Evidence from China. Sustain. Cities. Soc. 2025, 122, 106269.
11. Mai, W.; Xiong, L.; Liu, B.; Liu, S. Spatial-temporal evolution, drivers, and pathways of the synergistic effects of digital transformation on pollution and carbon reduction in heavily polluting enterprises. Sci. Rep. 2025, 15, 11963.
12. Lin, B.; Teng, Y. Synergistic disparities of pollution reduction and carbon mitigation in the industrial chain: evidence from China's industrial sector. Environ. Res. 2024, 248, 118226.
13. Zhou, Y. Legal pathways for blue carbon protection and ship pollution in China: integrated ocean and climate governance. Mar. Dev. 2025, 3, 15.
14. Liu, H.; Niu, Y. Experiences and challenges in the development of carbon footprinting in megacities - taking Shanghai as an example. Carbon. Footprints. 2024, 3, 20.
15. Rissman, J.; Bataille, C.; Masanet, E.; et al. Technologies and policies to decarbonize global industry: review and assessment of mitigation drivers through 2070. Appl. Energy. 2020, 266, 114848.
16. Iacovidou, E.; Velis, C. A.; Purnell, P.; et al. Metrics for optimising the multi-dimensional value of resources recovered from waste in a circular economy: a critical review. J. Clean. Prod. 2017, 166, 910-38.
17. Li, C.; Liu, H. Exploratory analysis of grey behavior of multidimensional subjects of environmental governance under the carbon peak mechanism. Sustain. Futures. 2025, 9, 100701.
18. Li, H.; Meng, P.; Maraseni, T. N.; Wang, D.; Lu, C.; Qu, J. Synergistic effects and influencing factors of reducing atmospheric pollutants and carbon dioxide emissions in China. Res. Cold. Arid. Reg. 2025.
19. Long, Y.; Luo, Z.; Huang, B.; Wang, Y.; Wang, Q.; Zhang, M. Industry-specific synergistic assessment of pollution and carbon reduction: a case study on photovoltaic waste recycling. Resour. Conserv. Recycl. 2025, 222, 108483.
20. Feng, Y.; Wang, L.; Nie, C. Can place-based policy reduce carbon emissions? Evidence from industrial transformation and upgrading exemplary zone in China. Humanit. Soc. Sci. Commun. 2024, 11, 877.
21. Li, W.; Ma, D.; Fu, J.; Qi, Y.; Shi, H.; Tianhua, N. A quantitative exploration of the interactions and synergistic driving mechanisms between factors affecting regional air quality based on deep learning. Atmos. Environ. 2023, 314, 120077.
22. Jia, Z.; Wen, S. Interaction effects of market-based and incentive-driven low-carbon policies on carbon emissions. Energy. Econ. 2024, 137, 107776.
23. Dwivedi, Y. K.; Hughes, L.; Kar, A. K.; et al. Climate change and COP26: are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action. Int. J. Inf. Manag. 2022, 63, 102456.
24. Wang, Y.; Ni, J.; Xu, K.; Zhang, H.; Gong, X.; He, C. Intricate synergistic effects between air pollution and carbon emission: an emerging evidence from China. Environ. Pollut. 2024, 349, 123851.
25. Guan, Y.; Xiao, Y.; Rong, B.; Lu, W.; Zhang, N.; Qin, C. Assessing the synergy between CO2 emission and ambient PM2.5 pollution in Chinese cities: an integrated study based on economic impact and synergy index. Environ. Impact. Assess. Rev. 2023, 99, 106989.
26. Zheng, S.; Li, Y.; Xie, H. What makes the synergy between pollution and carbon emission control effective? Based on an evaluation of the carbon emissions trading pilot policy. Environ. Res. Commun. 2024, 6, 125019.
27. Filimonova, N.; Birchall, S. J. Sustainable municipal solid waste management: a comparative analysis of enablers and barriers to advance governance in the Arctic. J. Environ. Manag. 2024, 371, 123111.
28. Möslinger, M.; Ulpiani, G.; Vetters, N. Circular economy and waste management to empower a climate-neutral urban future. J. Clean. Prod. 2023, 421, 138454.
29. Zhao, J.; Duan, J.; Han, Y.; Gao, F. Correlation between carbon emissions and water consumption in different industries in China: Spatial and temporal distribution characteristics and driving factors. J. Clean. Prod. 2023, 427, 139196.
30. You, C.; Qu, H.; Wang, C.; Feng, C. C.; Guo, L. Trade-off and synergistic of ecosystem services supply and demand based on socio-ecological system (SES) in typical hilly regions of south China. Ecol. Ind. 2024, 160, 111749.
31. Zhao, D.; Liu, J.; Sun, L.; et al. Quantifying economic-social-environmental trade-offs and synergies of water-supply constraints: an application to the capital region of China. Water. Res. 2021, 195, 116986.
32. Olabi, A. G.; Elsaid, K.; Obaideen, K.; et al. Renewable energy systems: comparisons, challenges and barriers, sustainability indicators, and the contribution to UN sustainable development goals. Int. J. Thermofluids. 2023, 20, 100498.
33. Qiao, R.; Liu, X.; Gao, S.; et al. Industrialization, urbanization, and innovation: nonlinear drivers of carbon emissions in Chinese cities. Appl. Energy. 2024, 358, 122598.
34. Fan, D.; Maliki, N. Z. B.; Yu, S.; Men, T. Assessment of resilience and key drivers of Tibetan villages in Western Sichuan. Sci. Rep. 2025, 15, 20594.
35. Zhou, Z.; Qiu, C.; Zhang, Y. A comparative analysis of linear regression, neural networks and random forest regression for predicting air ozone employing soft sensor models. Sci. Rep. 2023, 13, 22420.
36. Ma, X.; Zou, B.; Deng, J.; et al. A comprehensive review of the development of land use regression approaches for modeling spatiotemporal variations of ambient air pollution: a perspective from 2011 to 2023. Environ. Int. 2024, 183, 108430.
37. Nahar, S. Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): applying a system dynamics perspective in a cross-country setting. Technol. Forecast. Soc. Chang. 2024, 201, 123203.
38. Hu, J. Synergistic effect of pollution reduction and carbon emission mitigation in the digital economy. J. Environ. Manag. 2023, 337, 117755.
39. Li, R.; Luo, Y.; Li, Y.; et al. Synergistic reduction in air pollutants and health benefits under China's dual-carbon policy. Environ. Sci. Technol. 2024, 58, 9467-70.
40. Wen, W.; Deng, Z.; Ma, X.; et al. Analysis of the synergistic benefits of typical technologies for pollution reduction and carbon reduction in the iron and steel industry in the Beijing-Tianjin-Hebei region. Sci. Rep. 2024, 14, 12413.
41. Xin, B.; Zhang, T.; Santibanez-Gonzalez, E. D. R. Synergistic effects of regional environmental governance on alleviating energy poverty and promoting household decarbonization. Energy. Policy. 2024, 185, 113970.
42. Zhao, X.; Shao, B.; Su, J.; Tian, N. Exploring synergistic evolution of carbon emissions and air pollutants and spatiotemporal heterogeneity of influencing factors in Chinese cities. Sci. Rep. 2025, 15, 2657.
43. Gu, B.; Zhao, H.; Li, X.; Zhang, Q. Moving towards synergistic reductions on PM2.5 and CO2 and its mechanism: a case study of Yangtze River Economic Belt, China. J. Geogr. Sci. 2024, 34, 1493-512.
44. Shang, W. L.; Lv, Z. Low carbon technology for carbon neutrality in sustainable cities: a survey. Sustain. Cities. Soc. 2023, 92, 104489.
45. Jia, B.; Xie, M.; Wu, J.; Zhao, J. Towards low carbon urban agglomerations: spatiotemporal characteristics and influencing factors of carbon emission intensity and network linkages in China’s urban agglomerations. Ecol. Ind. 2025, 177, 113728.
46. Wang, S.; Yang, C.; Hou, D.; Dai, L. How do urban agglomerations drive economic development? A policy implementation and spatial effects perspective. Econ. Anal. Policy. 2023, 80, 1224-38.
47. Chetty, R.; Friedman, J. N.; Stepner, M.; Opportunity insights team. The economic impacts of Covid-19: evidence from a new public database built using private sector data. Q. J. Econ. 2024, 139, 829-89.
48. Zhang, W.; Liu, G.; Ghisellini, P.; Yang, Z. Ecological risk and resilient regulation shifting from city to urban agglomeration: a review. Environ. Impact. Assess. Rev. 2024, 105, 107386.
49. Li, X.; Liu, X. Regional prioritization in vehicle electrification and renewable electricity expansion facilitates decarbonization of China’s road transport. Carbon. Footprints. 2025, 4, 32.
50. Wang, Z.; Sun, Y.; Kong, H.; Xia-Bauer, C. An in-depth review of key technologies and pathways to carbon neutrality: classification and assessment of decarbonization technologies. Carbon. Neutrality. 2025, 4, 15.
51. Kang, Y.; Yang, Q.; Wang, L.; et al. China's changing city-level greenhouse gas emissions from municipal solid waste treatment and driving factors. Resour. Conserv. Recycl. 2022, 180, 106168.
52. Zhan, H.; Shao, L.; Pan, Y.; Wu, Z. Life-cycle carbon emissions from pilot zero-waste technologies in China. Environ. Impact. Assess. Rev. 2023, 103, 107279.
53. Cracolici, M. F.; Cuffaro, M.; Nijkamp, P. The measurement of economic, social and environmental performance of countries: a novel approach. Soc. Indic. Res. 2010, 95, 339-56.
54. Zhong, S.; Li, J.; Zhao, R. Does environmental information disclosure promote sulfur dioxide (SO2) remove? New evidence from 113 cities in China. J. Clean. Prod. 2021, 299, 126906.
55. Jiang, L.; Lin, C.; Lin, P. The determinants of pollution levels: firm-level evidence from Chinese manufacturing. J. Comp. Econ. 2014, 42, 118-42.
56. Zhang, X.; Yao, G.; Vishwakarma, S.; et al. Quantitative assessment of agricultural sustainability reveals divergent priorities among nations. One. Earth. 2021, 4, 1262-77.
57. Zhe, W.; Xigang, X.; Feng, Y. An abnormal phenomenon in entropy weight method in the dynamic evaluation of water quality index. Ecol. Ind. 2021, 131, 108137.
58. Dong, L.; Longwu, L.; Zhenbo, W.; Liangkan, C.; Faming, Z. Exploration of coupling effects in the Economy-Society-Environment system in urban areas: case study of the Yangtze River Delta Urban Agglomeration. Ecol. Ind. 2021, 128, 107858.
59. Li, L.; Fan, Z.; Feng, W.; Yuxin, C.; Keyu, Q. Coupling coordination degree spatial analysis and driving factor between socio-economic and eco-environment in northern China. Ecol. Ind. 2022, 135, 108555.
60. Yang, L.; Lin, Y.; Zhu, J.; Yang, K. Dynamic coupling coordination and spatial-temporal analysis of digital economy and carbon environment governance from provinces in China. Ecol. Ind. 2023, 156, 111091.
61. Wei, D.; Yin, J.; Xia, R.; Jiang, H.; Ding, Y.; Luo, X. Study on the coordinated development of urban competitiveness and energy-carbon emission reduction in China. Environ. Res. 2024, 251, 118689.
62. Khan, I. K.; Daud, H. B.; Zainuddin, N. B.; et al. Determining the optimal number of clusters by Enhanced Gap Statistic in K-mean algorithm. Egypt. Inform. J. 2024, 27, 100504.
63. Avila-Marin, A. L.; Fernandez-Reche, J.; Martinez-Tarifa, A. Modelling strategies for porous structures as solar receivers in central receiver systems: a review. Renew. Sustain. Energy. Rev. 2019, 111, 15-33.
64. Zhou, W.; Yan, Z.; Zhang, L. A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction. Sci. Rep. 2024, 14, 5905.
65. Liu, M.; Chen, H.; Wei, D.; Wu, Y.; Li, C. Nonlinear relationship between urban form and street-level PM2.5 and CO based on mobile measurements and gradient boosting decision tree models. Build. Environ. 2021, 205, 108265.
66. Ahmed Ouameur, M.; Caza-Szoka, M.; Massicotte, D. Machine learning enabled tools and methods for indoor localization using low power wireless network. Int. Things. 2020. , 12, 100300.
67. Sui, Q.; Li, G.; Peng, Y.; Zhang, J.; Zhang, Y.; Zhao, R. Scalable and robust machine learning framework for HIV classification using clinical and laboratory data. Sci. Rep. 2025, 15, 18727.
68. Lamane, H.; Mouhir, L.; Moussadek, R.; Baghdad, B.; Kisi, O.; El Bilali, A. Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration. Int. J.. Sediment. Res. 2025, 40, 91-107.
69. Zhang, Q.; Yin, Z.; Lu, X.; et al. Synergetic roadmap of carbon neutrality and clean air for China. Environ. Sci. Ecotechnol. 2023, 16, 100280.
