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- W2384252240 abstract "Based on the semi-parametric trending panel data models and index decomposition methods,this paper analyze energy consumption influencing factors.The results show that the parameter estimation based on the semi-parameter trending panel data models is more efficient than that based on fixed effects panel data models.The nonlinear trends of the total energy consumption reflect the role of the China's energy conservation and emissions reduction policy in recent years.Economic growth,energy consumption structure and energy intensity are the main factors caused the change of the total energy consumption.In addition,the regional heterogeneity exists in the total energy consumption." @default.
- W2384252240 created "2016-06-24" @default.
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- W2384252240 date "2014-01-01" @default.
- W2384252240 modified "2023-09-24" @default.
- W2384252240 title "Energy Consumption Influencing Factors Analysis Based on the Semi-Parametric Trending Panel Data Models" @default.
- W2384252240 hasPublicationYear "2014" @default.
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