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1. The regression model is established based on the historical time series data of energy demand, GDP, secondary industry proportion, and urbanization rate of China. Therefore, it is well expected that when the authors use this model to forecast the future energy demand, the energy consumptions in the forecasting years are estimated to increase monotonically with the assumptions of continues and steadily high-speed GDP growth, industrialization, and urbanization in the next decade. The policy implications the authors derived from the analysis are just the positive relationships between economic growth, industrialization, urbanization in China and the total energy consumption in the future, which I am not convinced are very meaningful policy insights contributed to the literature. 2. There are some important policy variables missing in this study, which attempts to forecast the energy consumption in China in the future, as well as analyze the key driving factors on energy demand of the country. Most importantly, China is working hard to improve energy efficiency in its economy. The government has set the goal of reducing energy intensity by around 16% in the 12th Five-Year Plan period, and aims to reduce carbon intensity by 40%-45% by 2020. These goals set by the government would greatly affect the trend of energy demand growth in China. Future projections on technical innovation, efficiency improvement, as well as energy consumption structural changes should also be taken into consideration. 3.The main point I have with the paper is that it does not meet academic standard of the journal, but rather follows the style of a (political) opinion peace. This is mainly reflected in the style of writing (¡°our country¡¯s energy demand¡±, p. 2). As a side note, the level of English does not meet the required standard either. |
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