2019
DOI: 10.4236/jdaip.2019.73007
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Time Series Analysis of Energy Intensity, Value Added Tax and Corporate Income Tax: A Case Study of the Non-Ferrous Metal Industry, Jiangxi Province, China

Abstract: Unprecedented industrialization and urbanization have led to China's poor energy efficiency. In response, the Chinese government has set goals to reduce energy consumption that may include implementing new tax policies. In this paper, we investigate the relationship between energy intensity, an indicator that measures the efficiency of energy consumption, and two sources of government revenue in China (i.e., value-added tax (VAT) and corporate income tax). As a case study, we developed a Granger co-integration… Show more

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Cited by 1 publication
(2 citation statements)
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“…The goal of the presented work is the identification of a linear operator model, for which any unnecessary and nonlinear elements are avoided by design. Such nonlinear models are used e.g., by Milionis and Galanopoulos [8] in a univariate ARIMA model for analyzing economic time series in the presence of variance instability and outliers; or by Pam et al [9], applying non-stationary time series analysis of energy intensity by an expanded ARIMA model with logarithmic terms; and Abebe [10] for annual rainfall analysis.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The goal of the presented work is the identification of a linear operator model, for which any unnecessary and nonlinear elements are avoided by design. Such nonlinear models are used e.g., by Milionis and Galanopoulos [8] in a univariate ARIMA model for analyzing economic time series in the presence of variance instability and outliers; or by Pam et al [9], applying non-stationary time series analysis of energy intensity by an expanded ARIMA model with logarithmic terms; and Abebe [10] for annual rainfall analysis.…”
Section: Introductionmentioning
confidence: 99%
“…the single origin of filling all bins downward with their quantum content according to Equation (9).…”
mentioning
confidence: 99%