The Relationship between Industrial Structure, Technical Progress, and Opening Degree with Unit GDP Energy Consumption Based on Provincial Panel Data and Cointegration Approach
DONG Feng, LONG Ru-Yin, ZHOU De-Qun, LI Xiao-Hui
1. China University of Mining and Technology, Xuzhou, Jiangsu, China; 2. Nanjing University of Aeronautics and Astronautics, Nanjing, China; 3. Yantai University, Yantai, Shandong, China
The panelbased unit test and cointegration test demonstrate that throughout the nation, the East, the Central, the Northeast and the West there exists a cointegration relationship between the four abovementioned variables which are all proved as oneorder cointegration ones. Furthermore, the cointegration equation discloses the facts as follows: first, the Northeast achieves the highest contribution rate of industrial structure change related to reduction of unit GDP energy consumption while the East and the Central are at the lowest level, and the effect of the West is positive; second, as for the technical progress effect on unit GDP energy consumption decline, the East stands in the breach, with the West and the Northeast in the wake of it; third, the West ranks number one followed by the East and the Northeast in terms of the contribution rate of openingup degree as to unit GDP energy consumption reduction, and the effect of the Central is positive. In addition, the error correction model indicates that the Northeast has the strongest capability of adjusting itself into balanced state. In strict accordance with the empirical consequence, it is advisable to implement tailored policies and measures for regions with different characteristics when we decide on energy conservation objective in the twelfth "Fiveyear Plans".
董锋, 龙如银, 周德群, 李晓晖. 产业结构、技术进步、对外开放程度与单位GDP能耗 ——基于省级面板数据和协整方法[J]. J4, 2012, 9(4): 603-.
DONG Feng, LONG Ru-Yin, ZHOU De-Qun, LI Xiao-Hui. The Relationship between Industrial Structure, Technical Progress, and Opening Degree with Unit GDP Energy Consumption Based on Provincial Panel Data and Cointegration Approach. J4, 2012, 9(4): 603-.