A conditional full frontier modelling for analyzing environmental efficiency and economic growth

George Halkos and Nickolaos Tzeremes

MPRA Paper from University Library of Munich, Germany

Abstract: By applying conditional and unconditional data envelopment analysis (DEA) models along side with statistical inference using bootstrap techniques; this paper investigates the link between China’s carbon dioxide emissions (CO2) environmental efficiency and its economic growth (measured in GNI per capita) for the time period of 1965 to 2009. The results reveal that China’s changing consumption patterns has caused emissions levels to increase dramatically the last two decades providing clear evidence of a negative effect of China’s GNI per capita increase on its environmental efficiency.

Keywords: Environmental efficiency; Economic growth; Carbon dioxide emissions; China; Data envelopment analysis; Conditional efficiency; Bootstrap procedures (search for similar items in EconPapers)
JEL-codes: C14 C60 O4 Q56 (search for similar items in EconPapers)
Date: 2011
New Economics Papers: this item is included in nep-eff, nep-ene, nep-env and nep-tra
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/32839/1/MPRA_paper_32839.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:32839

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().