Empirical Research on Energy Consumption Structure and Energy Efficiency - Evidence from Zhejiang Province

Di Ping Zhang; Shuang Shuang He; Gao Qing Li

doi:10.4028/www.scientific.net/AMR.524-527.3079

Paper Titles

Development Mode of the Modern Coal Mine in the Large-Scale Coal Bases in China
p.3062

Development of the Large-Scale Coal Base and the Modern Mine in China: The Present Situation and Future Tasks
p.3066

Early-Warning Research on Resource Economy Sustainable Development Based on BP Artificial Neural Network - The Case of Yulin of Shaanxi Province
p.3070

Efficiency Assessment of Thai Energy Industries: Using Rational Two-Stage DEA
p.3075

Empirical Research on Energy Consumption Structure and Energy Efficiency - Evidence from Zhejiang Province
p.3079

Empirical Study on Energy Consumption and Economic Growth - Evidence from Zhejiang Province
p.3083

Energy Consumption Forecasting Using United Grey System–Bayesian Regularization Neural Network Model
p.3087

Energy Consumption in Traffic Flow with a Slowdown Section
p.3093

Energy Flow Analysis of Beijing’s Energy Consumption Based on EBS
p.3097

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Empirical Research on Energy Consumption Structure and Energy Efficiency - Evidence from Zhejiang Province

Abstract:

Taking Zhejiang province as an example, this paper conducted a comparative analysis on the current situation of the energy consumption structure from the vertical and horizontal using the descriptive statistical method. By calculating some indexes such as energy consumption per unit GDP, energy consumption elasticity coefficient, and so on, the study analyzes and evaluates the present situation, trend and influence factors of energy efficiency. Finally, it puts forward some policy suggestions about the optimization of energy consumption structure and energy efficiency.