2. Ante, L. (2024). The scope of green finance research: Research streams, influential works and future research paths. Ecological Economics, 224, 108302. https://doi.org/10.1016/j.ecolecon.2024.108302
3. Augustin, N. H., Trenkel, V. M., Wood, S. N., & Lorance, P. (2013). Space‐time modelling of blue ling for fisheries stock management. Environmetrics, 24(2), 109–119. https://doi.org/10.1002/env.2196
4. Bai, J., Chen, Z., Yan, X., & Zhang, Y. (2022). Research on the impact of green finance on carbon emissions: evidence from China. Economic Research-Ekonomska Istrazivanja, 35(1), 6965–6984. https://doi.org/10.1080/1331677X.2022.2054455
5. Banerjee, A. K., Boubaker, S., & Al-Nassar, N. S. (2024). Climate policy initiatives, green finance, and carbon risk interconnectedness. Finance Research Letters, 67, 105776. https://doi.org/10.1016/j.frl.2024.105776
6. Brown-Schmidt, S., Cho, S. J., Fenn, K. M., & Trude, A. M. (2025). Modeling spatio-temporal patterns in intensive binary time series eye-tracking data using Generalized Additive Mixed Models. Brain Res, 1854, 149511. https://doi.org/10.1016/j.brainres.2025.149511
7. Cissoko, M., Sagara, I., Guindo, A., Maiga, M., Dembele, P., Bationo, C. S., . . . Gaudart, J. (2025). Impact of control interventions on Malaria incidence in the general population of Mali. J Epidemiol Glob Health, 15(1), 40. https://doi.org/10.1007/s44197-025-00381-2
8. Cui, X., Mohd Said, R., Abdul Rahim, N., & Ni, M. (2024). Can green finance lead to green investment? Evidence from heavily polluting industries. International Review of Financial Analysis, 95, 103445. https://doi.org/10.1016/j.irfa.2024.103445
9. Ding, J. (2024). A study of the effects of regional competition and digital financial inclusion on urban carbon emissions. Academic Journal of Business & Management, 6(8), 250–255. https://doi.org/DOI: 10.25236/AJBM.2024.060837
10. Fan, L., Peng, B., Lin, Z., Zou, H., & Du, H. (2024). The effects of green finance on pollution and carbon reduction: Evidence from China’s industrial firms. International Review of Economics & Finance, 95, Article 103490. https://doi.org/10.1016/j.iref.2024.103490
11. Fan, Y., Anwar, S., & Long, R. (2025). Navigating economic policy uncertainty: The role of ESG performance in mitigating the risk of nonfinancial firms in China. Economics & Politics. https://doi.org/10.1111/ecpo.12352
12. Feng, C. (2022). Spatial-temporal generalized additive model for modeling COVID-19 mortality risk in Toronto, Canada. Spat Stat, 49, 100526. https://doi.org/10.1016/j.spasta.2021.100526
13. Ferrari, C., Evangelista, C., Basirico, L., Castellani, S., Biffani, S., & Bernabucci, U. (2025). Application of a generalized additive mixed model in time series study of dairy cow behavior under hot summer conditions. J Dairy Sci, 108(2), 1554–1572. https://doi.org/10.3168/jds.2024-25001
14. Ferrari, C., Evangelista, C., Basiricò, L., Castellani, S., Biffani, S., & Bernabucci, U. (2025). Application of a generalized additive mixed model in time series study of dairy cow behavior under hot summer conditions. Journal of Dairy Science, 108(2), 1554–1572. https://doi.org/10.3168/jds.2024-25001
15. Guo, Q., Wang, H., Lu, X., & Qu, L. (2024). Effects of innovation environment on carbon intensity: The moderating role of information industry. International Review of Economics & Finance, 92, 967–977. https://doi.org/10.1016/j.iref.2024.02.059
16. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cengage.
17. Hirata, K. (2024). Socialist Industrialization as a Hybrid System, 1948–1957. In K. Hirata (Ed.), Making Mao's Steelworks: Industrial Manchuria and the Transnational Origins of Chinese Socialism (pp. 99–226). Cambridge University Press. https://doi.org/DOI: 10.1017/9781009382281.006
18. Huang, L. (2024). Green bonds and ESG investments: Catalysts for sustainable finance and green economic growth in resource-abundant economies. Resources Policy, 91, 104806. https://doi.org/10.1016/j.resourpol.2024.104806
19. Li, Y., & Xu, Y. (2024). Impact of green finance on China's pollution reduction and carbon efficiency: Based on the spatial panel model. International Review of Economics & Finance, 94, 103382. https://doi.org/10.1016/j.iref.2024.103382
20. Lian, Y., Shang, Y., & Qian, F. (2024). Spatial effects of green finance development in Chinese provinces under the context of high-quality energy development. Economic Change and Restructuring, 57(2), Article 23. https://doi.org/10.1007/s10644-024-09600-5
21. Liang, Z., & Yang, X. (2024). The impact of green finance on the peer effect of corporate ESG information disclosure. Finance Research Letters, 62, Article 105080. https://doi.org/10.1016/j.frl.2024.105080
22. Lin, X., & Zhang, D. (1999). Inference in generalized additive mixed models by using smoothing splines. Journal of the Royal Statistical Society. Series B (Statistical Methodology), 61(2), 381–400. http://www.jstor.org/stable/2680648
23. Liu, X., Cui, J., Wu, Y., Yue, X., Shen, J., & Guo, P. (2024). The nexus between green finance and carbon emissions: Evidence from maturity mismatch in China. Sustainability, 16(10), Article 4319. https://doi.org/10.3390/su16104319
24. Liu, Y., Jiang, Y., Liu, H., Li, B., & Yuan, J. (2022). Driving factors of carbon emissions in China’s municipalities: a LMDI approach. Environmental Science and Pollution Research, 29(15), 21789–21802. https://doi.org/10.1007/s11356-021-17277-w
25. Liu, Y., Zhao, X., Liu, Y., & Kong, F. (2023). The dynamic impact of digital economy on the green development of traditional manufacturing industry: Evidence from China. Economic Analysis and Policy, 80, 143–160. https://doi.org/https://doi.org/10.1016/j.eap.2023.08.005
26. Lv, K., Fan, Y., & Cheng, Y. (2024). How does regional integration affect CO2 emission intensity? A natural experiment based on the expansion of the Yangtze River Delta, China. The Annals of Regional Science, 73(2), 493–519. https://doi.org/10.1007/s00168-024-01264-3
27. Mohy‐ud‐Din, K., Shahbaz, M., & Khamdamov, S. J. (2025). Does green governance reflect corporate sustainability performance? New insight from G5 countries. Corporate Social Responsibility and Environmental Management, n/a(n/a). https://doi.org/10.1002/csr.3203
28. Nelder, J. A., & Wedderburn, R. W. M. (1972). Generalized linear models. Journal of the Royal Statistical Society. Series A (General), 135(3), 370–384. https://doi.org/10.2307/2344614
29. Nepal, R., Zhao, X., Liu, Y., & Dong, K. (2024). Can green finance strengthen energy resilience? The case of China. Technological Forecasting and Social Change, 202, 123302. https://doi.org/10.1016/j.techfore.2024.123302
30. Pedersen, E. J., Miller, D. L., Simpson, G. L., & Ross, N. (2019). Hierarchical generalized additive models in ecology: An introduction with mgcv. PeerJ, 7, e6876. https://doi.org/10.7717/peerj.6876
31. Ruppert, D., Wand, M. P., & Carroll, R. J. (2010). Semiparametric Regression. Cambridge University Press. https://doi.org/10.1017/cbo9780511755453
32. Safi, A., Kchouri, B., Elgammal, W., Nicolas, M. K., & Umar, M. (2024). Bridging the green gap: Do green finance and digital transformation influence sustainable development? Energy Economics, 134, 107566. https://doi.org/10.1016/j.eneco.2024.107566
33. Sharma, S. S. (2011). Determinants of carbon dioxide emissions: Empirical evidence from 69 countries. Applied Energy, 88(1), 376–382. https://doi.org/10.1016/j.apenergy.2010.07.022
34. Stram, D. O., & Lee, J. W. (1994). Variance components testing in the longitudinal mixed effects model. Biometrics, 50(4), 1171–1177. https://doi.org/10.2307/2533455
35. Susan, E. B., & Pan, Y. (2024). Trust as a determinant of green finance through information sharing and technological penetration: Integrating the moderation of governance for sustainable growth. Technology in Society, 77, 102565. https://doi.org/10.1016/j.techsoc.2024.102565
36. Tufail, M., Song, L., & Khan, Z. (2024). Green finance and green growth nexus: evaluating the role of globalization and human capital. Journal of Applied Economics, 27(1), 2309437. https://doi.org/10.1080/15140326.2024.2309437
37. van Niekerk, A. J. (2024). Economic Inclusion: Green Finance and the SDGs. Sustainability, 16(3), 1128. https://www.mdpi.com/2071-1050/16/3/1128
38. Wang, C., Wang, L., Zhao, S., Yang, C., & Albitar, K. (2024). The impact of Fintech on corporate carbon emissions: Towards green and sustainable development. Business Strategy and the Environment, 33(6), 5776–5796. https://doi.org/10.1002/bse.3778
39. Wang, J., Mishra, S., Sharif, A., & Chen, H. (2024). Dynamic spillover connectedness among green finance and policy uncertainty: Evidence from QVAR network approach. Energy Economics, 131, Article 107330. https://doi.org/10.1016/j.eneco.2024.107330
40. Wang, J., Tian, J., Kang, Y., & Guo, K. (2023). Can green finance development abate carbon emissions: Evidence from China. International Review of Economics & Finance, 88, 73–91. https://doi.org/10.1016/j.iref.2023.06.011
41. Wei, N. (2024). Green finance, market integration, and regional economic resilience. Finance Research Letters, 67, Article 105777. https://doi.org/10.1016/j.frl.2024.105777
42. Wong, W. M., & Su, W. (2025). Air pollution and health burden: a generalized additive mixed model approach to PM2.5, life Expectancy, and respiratory infections and tuberculosis in Thailand, Malaysia, and Singapore. Air Quality, Atmosphere & Health. https://doi.org/10.1007/s11869-025-01872-8
43. Wong, W. M., Tzeng, S.-Y., Mo, H.-F., & Su, W. (2024a). Impact of COVID-19 on PM2.5 concentrations in Singapore, Indonesia, and Thailand: Cluster Analysis and Generalized Additive Mixed Models. Archives of Environmental Protection, 50(4), 116–1236. https://doi.org/10.24425/aep.2024.152901
44. Wong, W. M., Tzeng, S.-Y., Mo, H.-F., & Su, W. (2024b). Predicting air quality trends in Malaysia’s largest cities: the role of urban population dynamics and COVID-19 effects. Archives of Environmental Protection, 50(2), 65–74. https://doi.org/10.24425/aep.2024.150553
45. Wood, S. N. (2006). Low-rank scale-invariant tensor product smooths for generalized additive mixed models. Biometrics, 62(4), 1025–1036. https://doi.org/10.1111/j.1541-0420.2006.00574.x
46. Wood, S. N. (2017). Generalized Additive Models. Chapman and Hall/CRC. https://doi.org/10.1201/9781315370279
47. Xie, P., Lu, Y., & Xie, Y. (2024). The Influencing Factors of Carbon Emissions in the Industrial Sector: Empirical Analysis Based on a Spatial Econometric Model. Sustainability, 16(6), Article 2478. https://doi.org/10.3390/su16062478
48. Xue, H., & Kan, L. (2024). Measurement and evaluation of the development level of green finance in Western China. Journal of Entrepreneurship in Science and Technology, 37(3). https://qikan.cqvip.com/Qikan/Article/Detail?id=7111674961&from=Qikan_Article_Detail
49. Yang, B., Bai, Z., & Wang, J. (2022). Spatiotemporal dynamic differences of energy-related CO2 emissions and the related driven factors in six regions of China during two decades. Environmental Science and Pollution Research, 29(17), 24737–24756. https://doi.org/10.1007/s11356-021-17482-7
50. Yu, B., Liu, L., & Chen, H. (2023). Can green finance improve the financial performance of green enterprises in China? International Review of Economics & Finance, 88, 1287–1300. https://doi.org/10.1016/j.iref.2023.07.060
51. Zairis, G., Liargovas, P., & Apostolopoulos, N. (2024). Sustainable finance and ESG importance: A systematic literature review and research agenda. Sustainability, 16(7), 2878. https://www.mdpi.com/2071-1050/16/7/2878
52. Zeng, S., Li, T., Wu, S., Gao, W., & Li, G. (2024). Does green technology progress have a significant impact on carbon dioxide emissions? Energy Economics, 133, Article 107524. https://doi.org/10.1016/j.eneco.2024.107524
53. Zhang, Y., Wang, X., & Feng, N. (2024). The path of green finance to promote the realization of low-carbon economic transformation under the carbon peaking and carbon neutrality goals: Theoretical model and empirical analysis. International Review of Financial Analysis, 94, 103227. https://doi.org/10.1016/j.irfa.2024.103227
54. Zhao, J. (2024). Impact of green finance on low-carbon transformation: Spatial spillover effects in China. The North American Journal of Economics and Finance, 74, 102202. https://doi.org/10.1016/j.najef.2024.102202
55. Zhou, Z., Chau, K. Y., Sibghatullah, A., Moslehpour, M., Tien, N. H., & Nizomjon Shukurullaevich, K. (2024). The role of green finance, environmental benefits, fintech development, and natural resource management in advancing sustainability. Resources Policy, 92, Article 105013. https://doi.org/10.1016/j.resourpol.2024.105013
56. Zuur, A. F., Ieno, E. N., Walker, N., Saveliev, A. A., & Smith, G. M. (2009). Mixed effects models and extensions in ecology with R. Springer New York. https://doi.org/10.1007/978-0-387-87458-6

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