《Table 2 ADF test of variable logarithmic sequence》

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《Influence of Aging Trend on Consumption Rate of Rural Residents——Empirical Analysis Based on Provincial Panel Data》

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Note:（C，T，K）denotes（constant term，trend，and lag order），and D signifies the first order difference of variables.

All variables selected in this study were time series data.To ensure the reasonableness of empirical results，we adopted ADF unit root test to test the data stationarity.If the time series has a stationarity，it means that there is a cointegration relationship among the variables；otherwise，a\""spurious regression\""phenomenon may occur，resulting in invalid empirical results.The test results are shown in Table 2.The time series Ln（Con），Ln（Rev），Ln（RU），CDR，and ODR are non-stationary.After the first-order difference，the original time series is stable at the 5%confidence level，which is a first order integration I（1）.