A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from the UK regions

George Halkos and Nickolaos Tzeremes

MPRA Paper from University Library of Munich, Germany

Abstract: This paper, by using conditional directional distance functions as introduced by Simar and Vanhems [J. Econometrics 166 (2012) 342-354] modifies the model by Färe and Grosskopf [Eur. J. Operat. Res. 157 (2004) 242-245], examines the link between regional environmental efficiency and economic growth. The proposed model using conditional directional distance functions incorporates the effect of regional economic growth on regions’ environmental efficiency levels. The results from the UK regional data reveal that economic growth has a negative effect on regions’ environmental performance up to a certain GDP per capita level, where after that point the effect becomes positive. This indicates the existence of a Kuznets type relationship between the UK regions’ environmental performance and economic growth.

Keywords: Regional environmental performance; Directional distance function; Conditional measures; U.K. regions (search for similar items in EconPapers)
JEL-codes: C14 C60 Q50 Q56 R10 (search for similar items in EconPapers)
Date: 2012-04
New Economics Papers: this item is included in nep-eff, nep-env, nep-geo and nep-ure
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Related works:
Journal Article: A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:38147

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