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论文类型：期刊论文

发表时间：2016-04-01

发表刊物：International Journal of Earth Sciences and Engineering

收录刊物：EI、Scopus

卷号：9

期号：2

页面范围：738-742

ISSN号：09745904

摘要：In this paper, we use the Meta regression analysis method to carry out a quantitative research on 39 domestic articles which are about the influences of technological progress on China  s energy efficiency. It is aimed at exploring the influences of differences in model design, data selection and evaluation method on empirical results. The results show that, in terms of energy efficiency measures, selecting the absolute value gets better empirical results than using the relative amount, while higher utility value will be achieved in case of relative amount of technological progress variable than in case of level value. The industrial structure with the proportion of the secondary industry as measurement increases the bounce-back effect of technological progress on energy efficiency, thus reducing the function effect of technological progress on energy efficiency. But energy price and human capital can make the results more valuable. Furthermore, whether selecting panel data or provincial data, sample data selection will not affect the empirical research results. Additionally, selecting tobit model and considering lagging factors in model design can increase the significance of results. ? 2016 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved.