Panel Data Analysis of Regional Energy Consumption Characteristics

doi:10.3969/j.issn.1000-7229.2014.10.021

Abstract

Abstract:

To find a way to control energy consumption, reduce energy consumption intensity, save energy and reduce emission, this paper analyzed the characteristics of energy consumption in Dalian. The paper selected 11 industries those were more prominent industry in Dalian statistical yearbook. Then a panel data model was built based on the 11 industries’ total output value, energy consumptions of power, natural gas, coal and oil, and an empirical analysis was carried out on the consumptive characteristics of different industries in Dalian industrial sector on different kind of energy. The results of panel data analysis show that the development of the 11 industries plays a role in promoting electricity consumption, and the electricity consumption levels in Dalian pillar industries are relatively high. The smelting and rolling of ferrous metal processing industry, transportation equipment manufacturing industry, electrical machinery and equipment manufacturing industry, and general equipment manufacturing industry all have great effects on natural gas consumption； the electricity and heat production and supply industry, non-metallic mineral products industry, petroleum and chemical industry all have great effects on coal and oil consumption. The analysis results also show that the influences of different industries on different kinds of energy are different； the adjustment of industrial structure can promote the structure change of energy consumption.

Key words: energy consumption, industrial structure, clean energy, panel data

CUI Wei, JIANG He, YANG Wangqing, YANG Haifeng. Panel Data Analysis of Regional Energy Consumption Characteristics[J]. ELECTRIC POWER CONSTRUCTION, 2014, 35(10): 106-109.

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