2014
DOI: 10.1016/j.rser.2013.10.034
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Environmental efficiency of investments in renewable energy: Comparative analysis at macroeconomic level

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Cited by 75 publications
(40 citation statements)
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“…On the other hand, we also find some recent panel studies by Jaunky (2011), andCowan et al (2014) in which they did cross-country panel analysis and their results strongly supported the existence of the EKC hypothesis, indicating that carbon emissions fall with rising income levels. However, some mixed evidence of the EKC hypothesis based on the panel data analysis is also found (Cicea et al 2014, Ibrahim et al 2014). …”
Section: Studies On the Nexus Between Co 2 Emissions And Economic Gromentioning
confidence: 99%
“…On the other hand, we also find some recent panel studies by Jaunky (2011), andCowan et al (2014) in which they did cross-country panel analysis and their results strongly supported the existence of the EKC hypothesis, indicating that carbon emissions fall with rising income levels. However, some mixed evidence of the EKC hypothesis based on the panel data analysis is also found (Cicea et al 2014, Ibrahim et al 2014). …”
Section: Studies On the Nexus Between Co 2 Emissions And Economic Gromentioning
confidence: 99%
“…The estimates shown rather large differences in efficiency levels and efficiency changes across countries. In [24] the authors study the European Union countries from 1990 to 2008 using econometric models based on the Kaya identity. The authors defined a new environmental efficiency index.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The common approaches and models employed in the literatures are partly summarized as follows: EKC analysis [9][10][11][12]; statistics model such as cointegration [13][14], Granger causality [15][16] generalized method of moments (GMM) estimators [17]; input-output model [1,[18][19][20][21][22]; reduced-form econometrics model [3,23]; decomposition analyses, including structural decomposition analysis (SDA), index decomposition analysis (IDA), and productiontheoretical decomposition analysis (PDA) [20,[24][25][26][27][28][29]; data envelopment analysis (DEA) [30][31]; causality relationship analysis [32][33]; indicator analysis [34]; scenario analysis [35][36]; and system dynamics (SD) model [7,[36][37]. Whether it is a top-down approach, a bottom-up approach, or a hybrid model, each method has strengths and weaknesses and plays important roles in the study of CO 2 emissions.…”
Section: Literature Reviewsmentioning
confidence: 99%