Please use this identifier to cite or link to this item:
|標題:||Energy consumption and economic growth-New evidence from meta analysis||作者:||Chen, P.Y.
|關鍵字:||GDP;Energy consumption;Multinomial logit model;panel-data analysis;electricity consumption;causal relationship;error-correction;benefit transfer;oecd countries;cointegration;analysis;structural breaks;real income;gdp||Project:||Energy Policy||期刊/報告no：:||Energy Policy, Volume 44, Page(s) 245-255.||摘要:||
The causal relationships between energy consumption and economic growth have given rise to much discussion but remain controversial. Alternative data sets based on different time spans, countries, energy policies and econometric approaches result in diverse outcomes. A meta analysis using a multinomial logit model with 174 samples governing the relationships between GDP and energy consumption is applied here to investigate the major factors that affect these controversial outcomes. The empirical results have demonstrated how the time spans, subject selections including GDP and energy consumption, econometric models, and tools for greenhouse gases emission reduction characteristics significantly affect these controversial outcomes. (C) 2012 Elsevier Ltd. All rights reserved.
|Appears in Collections:||期刊論文|
Show full item record
TAIR Related Article
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.