Mostrar el registro sencillo del ítem
dc.contributor.author | Luchko, Mykhayilo | es_ES |
dc.contributor.author | Drozd, I. | es_ES |
dc.contributor.author | Plutytska, K. | es_ES |
dc.contributor.author | Ruska, R. | es_ES |
dc.contributor.author | Vovk, I. | es_ES |
dc.coverage.spatial | east=31.16558; north=48.379433; name=Ucrania | es_ES |
dc.date.accessioned | 2021-02-17T10:48:18Z | |
dc.date.available | 2021-02-17T10:48:18Z | |
dc.date.issued | 2021-01-29 | |
dc.identifier.uri | http://hdl.handle.net/10251/161646 | |
dc.description.abstract | [EN] The aim of the article is to study the issues of analysis, modeling with the purpose of forecasting the payment of value added tax (VAT) on goods, works and services imported as imports into the customs territory of Ukraine. The reliability and validity of the planned VAT rate depend on the assessment of the status, forecast, seasonality and trends of economic and social development. The purpose of the work is to analyze and systematize the methodology for modeling VAT revenues from imports, justify the use of the econometric method and develop an adequate ARIMA model. It application is possible in the long term as well as smaller periods of time, which is relevant for monitoring and control of tax revenues. The study revealed the main factors influencing the application of the ARIMA model when modeling VAT revenues from imports. The resulting regression model in STATISTICA linked the variables with an accurate approximation. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.relation.ispartof | International Journal of Production Management and Engineering | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Forecasting | es_ES |
dc.subject | Value Added Tax | es_ES |
dc.subject | Tax Revenue | es_ES |
dc.subject | ARIMA Modelling | es_ES |
dc.subject | Regression | es_ES |
dc.title | Analysis and modelling of value added tax revenues on imports: Some issues of application in Ukraine | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.4995/ijpme.2021.13984 | |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Luchko, M.; Drozd, I.; Plutytska, K.; Ruska, R.; Vovk, I. (2021). Analysis and modelling of value added tax revenues on imports: Some issues of application in Ukraine. International Journal of Production Management and Engineering. 9(1):37-46. https://doi.org/10.4995/ijpme.2021.13984 | es_ES |
dc.description.accrualMethod | OJS | es_ES |
dc.relation.publisherversion | https://doi.org/10.4995/ijpme.2021.13984 | es_ES |
dc.description.upvformatpinicio | 37 | es_ES |
dc.description.upvformatpfin | 46 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 9 | es_ES |
dc.description.issue | 1 | es_ES |
dc.identifier.eissn | 2340-4876 | |
dc.relation.pasarela | OJS\13984 | es_ES |
dc.description.references | Andrejovska, A., Pulikova, V. (2018). Tax revenues in the context of economic determinants. Montenegrin Journal of Economics, 14(1), 133-141. https://doi.org/10.14254/1800-5845/2018.14-1.10 | es_ES |
dc.description.references | Bilan, Y., Mishchuk, H., Samoliuk, N., Yurchyk, H. (2020). Impact of Income Distribution on Social and Economic Well-Being of the State. Sustainability, 12(1), 429. https://doi.org/10.3390/su12010429 | es_ES |
dc.description.references | Bogetic, Z., Hassan, F.M. (1993). Determinants of Value-Added Tax Revenue: A Cross-section Analysis (Vol. 1203). World Bank Publications. | es_ES |
dc.description.references | Büyükşahin, Ü.Ç., Ertekin, Ş. (2019). Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition. Neurocomputing, 361, 151-163. https://doi.org/10.1016/j.neucom.2019.05.099 | es_ES |
dc.description.references | Danilov, O. (1999). Methodological approach to the economic and mathematical modelling of tax policy. Scientific works UFEI, 3(6), 21. | es_ES |
dc.description.references | Ebrill, L.P., Keen, M., Bodin, J.P., Summers, V.P. (2001). The modern VAT. International Monetary Fund. https://doi.org/10.5089/9781589060265.071 | es_ES |
dc.description.references | Ebrill, L., Keen, M., Bodin, J.P., Summers, V. (2002). The allure of the value-added tax. Finance & Development, 39(2), 44-44. | es_ES |
dc.description.references | Gamboa, A.M., Sophia, J. (2002). Development of tax forecasting models: Corporate and individual income taxes (No. 2002-06). PIDS Discussion Paper Series. | es_ES |
dc.description.references | Giesecke, J., Tran, N.H. (2012). A general framework for measuring VAT compliance rates. Applied Economics, 44(15), 1867-1889. https://doi.org/10.1080/00036846.2011.554382 | es_ES |
dc.description.references | IMF. (2001). Manual on Fiscal Transparency. Retrieved March 23, 2020 from, https://www.imf.org. | es_ES |
dc.description.references | Jenkins, G.P., Kuo, C.Y., Shukla, G. (2000). Tax analysis and revenue forecasting. Cambridge, Massachusetts: Harvard Institute for International Development, Harvard University. Retrieved from: https://cri-world.com/publications/qed_dp_169.pdf. | es_ES |
dc.description.references | Leal, T., Pérez, J.J., Tujula, M., Vidal, J.P. (2008). Fiscal forecasting: lessons from the literature and challenges. Fiscal Studies, 29(3), 347- 386. https://doi.org/10.1111/j.1475-5890.2008.00078.x | es_ES |
dc.description.references | Legeida, N., Sologoub, D. (2003). Modeling value added tax (VAT) revenues in a transition economy: Case of Ukraine. Institute for Economic Research and Policy Consulting Working Paper, 22, 1-21. | es_ES |
dc.description.references | Louzis, D.P. (2019). Steady state modelling and macroeconomic forecasting quality. Journal of Applied Econometrics, 34(2), 285-314. https://doi.org/10.1002/jae.2657 | es_ES |
dc.description.references | Luchko, M., Lew, G., Ruska, R., Vovk, I. (2019). Modelling the optimal size of investment portfolio in a non-state pension fund. Journal of International Studies, 12(1), 239-252. https://doi.org/10.14254/2071-8330.2019/12-1/16 | es_ES |
dc.description.references | Lukianenko, I.H. (2004). Systematic Modelling of Ukraine's Budget System Indicators: Principles and Instruments. | es_ES |
dc.description.references | Kyiv, Kyiv-Mohyla Academy. MinFin - Ministry of Finance of Ukraine. (2019). Exports and imports of Ukraine. Retrieved from Official Web Site of the Ministry of Finance of Ukraine https://index.minfin.com.ua/ua/economy/gdp/eximp/ | es_ES |
dc.description.references | Mishchuk, H., Grishnova, O. (2015). Empirical study of the comfort of living and working environment-Ukraine and Europe: Comparative assessment. Journal of International Studies, 8(1), 67-80. https://doi.org/10.14254/2071-8330.2015/8-1/6 | es_ES |
dc.description.references | Nikolaiev, V. (2006). Forecasting of tax revenues in the transition economy: problems of methodology and organization. Kyiv: MP Lesia. | es_ES |
dc.description.references | Rudzkis, R., Maciulaityte, E. (2007). Econometrical Modelling of Profit Tax Revenue. Nonlinear Analysis: Modelling and Control, 12(1), 95-112. https://doi.org/10.15388/NA.2007.12.1.14724 | es_ES |
dc.description.references | Sabaj, E., Kahveci, M. (2018). Forecasting tax revenues in an emerging economy: The case of Albania (No. 84404). University Library of Munich, Germany. | es_ES |
dc.description.references | Shahnazarian, H., Solberger, M., Spånberg, E. (2017). Forecasting and Analysing Corporate Tax Revenues in Sweden Using Bayesian VAR Models. Finnish Economic Papers, 28(1), 50-74. Retrieved from https://www.taloustieteellinenyhdistys.fi/wp-content/uploads/2017/10/ FEP_1_17_4_Spanberg.pdf | es_ES |
dc.description.references | Skrypnyk, A.V., Tereshchenko L.A. (2001). Dynamics of tax revenues and their forecast using the ARIMA model. Modelling and Information Systems in Economics, 66, 7-12. | es_ES |
dc.description.references | Soto-Ferrari, M., Chams-Anturi, O., Escorcia-Caballero, J. P., Hussain, N., & Khan, M. (2019, September). Evaluation of bottom-up and top-down strategies for aggregated forecasts: state space models and arima applications. In International Conference on Computational Logistics (pp. 413-427). Springer, Cham. https://doi.org/10.1007/978-3-030-31140-7_26 | es_ES |
dc.description.references | State Tax Service of Ukraine. (2020). Income of taxes and fees. Retrieved from Official Web Site of the State Tax Service of Ukraine: https://tax.gov.ua/diyalnist-/pokazniki-roboti/nadhodjennya-podatkiv-i-zboriv--obovyaz/nadhodjennya-podatkiv-i-zboriv/. | es_ES |
dc.description.references | Stock, J.H. (2001). Time Series: Economic Forecasting. International Encyclopaedia of the Social & Behavioural Sciences. 15721-15724. https://doi.org/10.1016/B0-08-043076-7/00526-X | es_ES |
dc.description.references | Tiao, G.C. (2001). Time series: ARIMA methods. International Encyclopedia of the Social & Behavioural Sciences, 15704-15709. https://doi.org/10.1016/B0-08-043076-7/00520-9 | es_ES |