Construction of Local Fiscal Revenue Forecasting Model Based on SVR Model

[1] Lin, K. (2020). An empirical study on the factors affecting China’s fiscal revenue based on regression model. 2020 2nd International Conference on Economic Development and Management Science. Clausius Scientific Press. Search in Google Scholar

[2] Tsymbaliuk, I., Smaliukh, V., & Kolisnychenko, O. (2021). Analytical evaluation of local budget revenue structure under the conditions of financial decentralization. Search in Google Scholar

[3] Prayitno, A. I., & Novita, N. (2017). Local government’s revenue, audit opinion of BPK and financial performance of local government: Indonesia evidence. Search in Google Scholar

[4] Chen, J. (2021). Application of Support Vector Machines and Holt-winters Model in Local Finance Forecast. 2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS). Search in Google Scholar

[5] Malyshko, V., Makarchuk, I., & Demianenko, L. (2021). Analysis of formation and use of financial resources of local budgets. University Economic Bulletin(49), 188-200. Search in Google Scholar

[6] Chen, D. (2021). Risk assessment of government debt based on machine learning algorithm. Complexity, 2021(1), 1-12. Search in Google Scholar

[7] Gorina, E., Maher, C., & Joffe, M. (2017). Local fiscal distress: measurement and prediction. Public Budgeting & Finance, 38(1), 72-94. Search in Google Scholar

[8] Go, E. J., Moon, J., & Kim, J. (2020). Analysis of the current and future of the artificial intelligence in financial industry with big data techniques. Seoul: People & Global Business Association (P&GBA)(1). Search in Google Scholar

[9] Anandakumar, H., & Arulmurugan, R. (2019). A Detailed Analysis of Big Data Analytics Challenges and Opportunities. 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT). Search in Google Scholar

[10] Luo, M., Wang, Q., Yang, Y., & Mei, J. (2018). Government revenue forecast based on big data technology -taking guizhou province as an example. Search in Google Scholar

[11] Saragih, A. H. (2018). An analysis of local taxes revenue’s effect on human development index. Jurnal Economia, 14(2), 197-211. Search in Google Scholar

[12] Lin, G. (2018). Statistical forecast model and economic Analysis of tax revenue based on the fusion of combined forecast model. IPPTA: Quarterly Journal of Indian Pulp and Paper Technical Association, 30(4), 731-736. Search in Google Scholar

[13] Molapo, M. A., Olaomi, J. O., & Ama, N. O. (2019). Bayesian vector auto-regression method as an alternative technique for forecasting south african tax revenue. Southern African Business Review(1). Search in Google Scholar

[14] Ofori, M. S., Fumey, A., & Nketiah-Amponsah, E. (2020). Forecasting value added tax revenue in ghana. Journal of Economics and Financial Analysis, 4. Search in Google Scholar

[15] Kadir, J. A., Hassan, M. A. G., & Yusof, Z. (2017). TAX AND REVENUE TRENDS AND IMPLICATIONS IN MALAYSIA. Search in Google Scholar