The article introduces a new method using wavelet analysis to test how different frequency fluctuations in data can affect the relationship between variables like electricity consumption and economic growth in China. This method focuses on the time domain and can help determine if these variables are connected in a cause-and-effect way. The researchers found that this approach can be useful for studying complex systems like economic trends and energy usage.