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机构地区:[1]华东师范大学地理信息科学教育部重点实验室 [2]广西师范大学经济管理学院
出 处:《产经评论》2011年第5期140-149,共10页Industrial Economic Review
基 金:国家自然科学基金项目"中国知识创新溢出与可持续发展研究"(编号:40671074);主持人为应龙根
摘 要:目前研究中国能源问题大多集中在能源消费总量上,而常常忽视了人均能源消费量的问题。通过地图显示,可以初步判断中国人均能源消费主要与两个因素有关:经济因素和能源资源禀赋因素。通过加权最小二乘(WLS)基准模型发现,经济发展水平、能源资源禀赋、第二产业和第三产业比重与人均能源消费成正比关系;市场机制调节作用下的能源价格抑制了人均能源消耗。然后运用分位数回归方法,结果发现:经济欠发达地区、沿海能源资源匮乏地区;第二产业比重较低的地区的弹性系数较高;在25%-80%分位数段内,第三产业比重的弹性系数基本相同;虽然市场化通过能源价格起到了调节人均能源消费量的作用,但分位数回归的结果显示能源价格仍然是扭曲的。At the present time, most study on China energy Per capita energy consumption issue is ignored usually. Through issues focuses on gross energy consumption. geographical map, it seems an obvious conclusion that can be judged, which there are two factors can affect per capita energy consumption: economic factor and energy reserve endowment. Weighted least squares regression is performed with provincial statistics of year 2008 to empirically verify a number of hypotheses. The analytic results show a strong and negative relationship between economic tertiary industry proportion market - mediated regulatio growth level, energy reserve endowment, and per capita energy consumption. On the the secondary industry proportion, the other hand, energy price that under the n can restrict per capita energy consumption. Then, quantile regression method is established. The resuhs indicated that the elasticity coefficient is high in the under - developed regions, in the coastal regions with meager energy resources or in the lower secondary industry proportion regions. The elasticity coefficient is almost same in the extent from 25% to 80% capita energy consumption through there is energy price distortion. energy price, the results quantile. Though marketization can mediate per of quantile regression is also demonstrated that
关 键 词:人均能源消费 经济因素 能源资源禀赋 市场化 分位数回归
分 类 号:F062.1[经济管理—政治经济学]
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