NDLI: Research on the Model of Tax Revenue Forecast of Jilin Province Based on Gray Correlation Analysis

Content Provider	IEEE Xplore Digital Library
Author	Yong Zhang
Copyright Year	2014
Description	Author affiliation: Changchun Guanghua Univ., Changchun, China (Yong Zhang)
Abstract	The tax revenue forecast is the main basis for the national and local tax operation plan and the deployment of the next year. According to the related indicators of national economy of local tax revenue in Jilin Province, using gray correlation analysis for correlation analysis of main economic indicators, to identify the main factors and secondary factors of impact of tax. simultaneously, the tax revenue of Jilin Province in 1980 -2012 years is as the input samples, the local tax revenue prediction model is established in Jilin province, combined with the support vector machine technology. The simulation results show that, the model owns better prediction effect and stronger generalization ability, and its Root mean square errors of Cross-Validation (RMSECV) and average relative prediction error (RME) were respectively 0.5766 and 0.0123. The research can provide a theoretical basis and technical support for the scientific and accurate formulation of tax forecasting and tax planning.
Starting Page	30
Ending Page	33
File Size	152920
Page Count	4
File Format	PDF
ISBN	9781479949564
e-ISBN	9781479949557
DOI	10.1109/IHMSC.2014.110
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Analytical models Correlation Economic indicators Gray correlation analysis Predictive models Tax revenue forecast Data models Indicators of national economy Forecasting
Content Type	Text
Resource Type	Article

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