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Modelling economic growth, carbon emissions, and fossil fuel consumption in China: Cointegration and multivariate causality

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Figure

Figure 3. Time series plot for the difference in each variable (in logarithms).
Table 1 displays some basic descriptive statistics, including mean, variance, standard deviation (s.d.), medium, range, interquartile range (IQR), coefficient of variation (CV), skewness, excess kurtosis and Jarque–Bera (J–B) test of normality for the loga
Table 4. ARDL bound test results for GDP t , Total t , and CO2 t
Table 5. Cointegration relationship for CO2 t and GDP t .
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