TFP Electricity Consumption Efficiency and Influencing.pdfVIP

Energy Procedia 12 (2011) 91 – 97 1876-6102 ? 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of University of Electronic Science and Technology of China (UESTC). doi:10.1016/j.egypro.2011.10.013 Available online at Available online at Energy Procedia Energy Procedia 00 (2011) 000–000 /locate/procedia ICSGCE 2011: 27–30 September 2011, Chengdu, China TFP Electricity Consumption Efficiency and Influencing Factor Analysis Based on DEA Method Tianjia Shua*, Xiaoqiang Zhonga, Shuguang Zhangb a Department of Statistics and Finance, University of Science and Technology of China b Power Energy Metering Center, Fujian Electric Power Company Limited , Fuzhou, Fujian, P.R. China Abstract Total Factor Productivity (TFP) electricity consumption efficiency was calculated in this article based on Data Envelopment Analysis (DEA) method by panel data of 4 districts from 2001 to 2007, and related influencing factors were econometrically tested to explain the difference of electricity consumption efficiency of different districts. ? 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ICSGCE 2011 Keywords: TFP, DEA, electricity consumption, electricity consumption efficiency 1. Introduction China has become the second largest energy consumption country in the world for its fast developing pace over the last decade. However, the energy consumption efficiency is comparatively low which dramatically led to the great amount of energy consuming in China. China has raised the point of building an economized society and thus has proposed to both accumulatively reduce the Gross Domestic Product (GDP) energy consumption level and GDP CO2 emitting level of the next five years down to 16% in the China National 12th Five-Year Plan, which brought higher standards as to how we can control the energy consumption amounts as well as keep GDP grow at the same time. Under such circumsta