Agglomeration effects and spatial spillovers in efficiency analysis: a distribution-free methodology
Levent Kutlu and
Usha Nair-Reichert
Regional Studies, 2019, vol. 53, issue 11, 1565-1574
Abstract:
Technical efficiency estimates using standard stochastic frontier models do not include spillover effects, although the existence of such spillovers is well documented in the productivity literature. This paper proposes a regression-based, distribution-free estimation method applicable to both time-varying efficiency spatial stochastic frontier and fixed effects spatial autoregressive models, which is relatively easy to estimate. The empirical results from the Indian chemical industry illustrate that ignoring spatial dependence may seriously distort estimates for efficiency rankings. The average overall spillover effect on a firm’s efficiency is 7.20 percentage points, or an average positive spillover effect of US$4.9 million in sales revenue.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://hdl.handle.net/10.1080/00343404.2019.1590543 (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:taf:regstd:v:53:y:2019:i:11:p:1565-1574
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CRES20
DOI: 10.1080/00343404.2019.1590543
Access Statistics for this article
Regional Studies is currently edited by Ivan Turok
More articles in Regional Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().