Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis

Yanni Yu () and Yongrok Choi ()

Computational Economics, 2015, vol. 46, issue 3, 375-388

Abstract: This paper examines total-factor environmental performance for various regions in China based on the metafrontier directional distance function. This approach can measure the environmental performance of undesirable outputs (pollutants). Technological heterogeneity can be taken into account simultaneously by taking a metafrontier approach. First, the concept of a generalized metafrontier directional distance function is proposed for the model. Second, several standardized composite indicators of environmental performance are developed. Third, the metafrontier directional distance function is estimated by solving a series of data envelopment analysis models. Finally, various regions in China are empirically examined, and the results and their implications are discussed. The results indicate substantial heterogeneity in environmental performance across regions, and some policy suggestions are proposed based on these results. Copyright Springer Science+Business Media New York 2015

Keywords: Environmental performance; Total-factor perspective; Metafrontier approach; Regional heterogeneity; Non-radial slack; China (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)

Downloads: (external link)
http://hdl.handle.net/10.1007/s10614-014-9464-5 (text/html)
Access to full text is restricted to subscribers.

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:kap:compec:v:46:y:2015:i:3:p:375-388

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-014-9464-5

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().