Globalization and productivity: A robust nonparametric world frontier analysis
Camilla Mastromarco () and
Leopold Simar
Economic Modelling, 2018, vol. 69, issue C, 134-149
Abstract:
How to exit the economic recession and improve the economic condition in a globalized world is a central policy issue of importance. This paper examines whether countries that pursue outward orientation policies and that are increasingly economically integrated with the rest of the world have seen an increase in economic performance. Increasing globalization and interconnection among countries generates spatial and temporal dependence which will affect the production process of each country. We extend existing methodological tools – robust frontier in non parametric location-scale models - to estimate the world frontier of 44 countries over 1970–2007 and to obtain more reliable measure of productivity and efficiency to better investigate the driven forces behind the catching-up productivity process among countries. We explore the channels under which Foreign Direct Investment (FDI) and time affect the production process and its components: impact on the attainable production set (input-output space), and the impact on the distribution of efficiencies.
Keywords: Globalization; Productivity; Robust frontier; Nonparametric location-scale; Heterogeneous panels; Cross-sectional dependence; Time-varying efficiency measures; Global factors (search for similar items in EconPapers)
JEL-codes: C13 C14 C33 D24 O47 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S026499931730442X
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Globalization and productivity: A robust nonparametric world frontier analysis (2018)
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:eee:ecmode:v:69:y:2018:i:c:p:134-149
DOI: 10.1016/j.econmod.2017.09.015
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().