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中国工业行业能源消耗强度变动及影响因素的实证分析
引用本文:刘畅,孔宪丽,高铁梅.中国工业行业能源消耗强度变动及影响因素的实证分析[J].资源科学,2008,30(9):1290-1299.
作者姓名:刘畅  孔宪丽  高铁梅
作者单位:东北财经大学,大连,116025
基金项目:国家自然科学基金,国家社会科学基金
摘    要:利用中国29个工业行业的面板数据,在中观层面上对中国工业部门及其内部不同能耗特征的各工业行业的能源消耗强度变动及影响因素进行了实证分析,不仅研究了技术进步及能源价格对工业行业能源消耗强度的影响,还考虑了高耗能产品出口贸易结构、产权结构以及能源替代等因素.实证结果表明,科技经费支出的增加有助于高能耗行业能源效率的提高,这些行业通过加强节能技术的开发和利用将有很大的节能潜力;企业产权结构和出口贸易结构对工业行业的能源消耗强度有显著影响;能源相对价格的提高对工业行业的节能降耗具有明显的促进作用;电力、石油等能源产品占总能源消费比例的增加降低了工业行业特别是高能耗行业的能源消耗强度.

关 键 词:能源消耗强度  中国工业  行业差异  panel  data模型
收稿时间:2/4/2008 12:00:00 AM

Empirical Analysis of Changes in China's Industrial Sector Energy Consumption Intensity and Influential Factors
LIU Chang,KONG Xian-li and GAO Tie-mei.Empirical Analysis of Changes in China''s Industrial Sector Energy Consumption Intensity and Influential Factors[J].Resources Science,2008,30(9):1290-1299.
Authors:LIU Chang  KONG Xian-li and GAO Tie-mei
Abstract:Industry consumes the most energy in China, and is responsible for changes in national energy demand. This highlights the importance of industrial energy efficiency. Since 2001, production in high energy-consuming sectors such as steel and cement has expanded rapidly, causing industrial energy consumption intensity to rise rather than decline. Due to large differences in production methods and energy consumption among different industrial sectors, energy efficiency and mechanisms of change also vary. This paper considers the factors that impact industrial energy consumption intensity, and whether there are major differences in energy consumption intensity among industrial sectors with different production features and techniques. Research on this topic is helpful for understanding the characteristics of industrial energy consumption intensity and creating effective policies on energy conservation. Using panel data on China's 29 industrial sectors, this paper empirically analyzes changes in industrial energy consumption intensity and influential factors from the industrial sector. The factors impacting energy consumption intensity include not only technological progress and energy prices, but also export trade composition of high energy-consuming products, enterprise ownership structure and energy substitution. The results show that increased science and technology expenditure contributes to a rise in energy efficiency for high energy-consuming sectors. There is great potential for energy-saving in these sectors through the development and utilization of energy-saving technologies. Changes in enterprise ownership structure have significant influence on energy consumption intensity. With shifts in international industry, changes in export trade composition boost domestic high energy-consuming sectors and increase China's industrial energy consumption. This causes a depletion of China's energy resources, and a decline in China's average industrial energy efficiency. Increases in relative energy price contribute to a significant decline in energy consumption intensity. With a rise in the proportion of electricity and oil consumption in total energy consumption, industrial energy consumption intensity declines, especially for high energy-consuming sectors. Different energy-saving policies should be customized for different industrial sectors. For high energy-consuming sectors, science and technology expenditures should be increased, as well as the elimination of less advanced production processes, and investment structure should be adjusted towards increased investment in energy-saving measures. For the mid-level energy-consuming sectors such as textile industries, the energy-consumption structure should be optimized, and advanced energy-saving technology and equipment should be widely used. It is also necessary to set up a reasonable energy pricing system which can reflect resource scarcity and environmental costs, and to establish different prices for electricity for high energy-consuming enterprises. By these means, energy efficiency of industrial sectors would be improved, and the target of energy-saving can be reached effectively.
Keywords:Energy consumption intensity  China  Industry  Panel data model
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