What affects MFP in the long-run? : evidence from Canadian industries

by Danny Leung and Yi Zheng

In this paper we explore variables that may have an impact on multifactor productivity (MFP) in the long-run using the KLEMS database for Canada. We estimate a dynamic heterogeneous panel error-correction model of twelve 2-digit level industries. Variables investigated include ICT capital, outsourcing, competition, trade openness, public infrastructure, and R&D. Results suggest that over the 1976 - 2003 period ICT capital services, outsourcing and trade all had a positive impact on the level of industry MFP. The speed of adjustment varies significantly by industry. -- Productivity

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Year of publication:	Febr. 2008
Other Persons:	Leung, Danny (contributor) ; Zheng, Isabel Yi (contributor)
Publisher:	Ottawa : Bank of Canada
Subject:	Produktivität \| Productivity \| Informationstechnik \| Information technology \| Wettbewerb \| Competition \| Freihandel \| Free trade \| Forschung \| Research \| Industrie \| Manufacturing industries \| Kanada \| Canada \| 1976-2003

Extent:	Online-Ressource, III, 38 S. = 259 KB, Text graph. Darst.
Series:	Staff working paper / Bank of Canada. - Ottawa : [Verlag nicht ermittelbar], ISSN 1701-9397, ZDB-ID 2278568-1. - Vol. 2008-4
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Arbeitspapier ; Working Paper ; Graue Literatur ; Non-commercial literature
Language:	English
Notes:	Zsfassung in franz. Sprache Systemvoraussetzungen: Acrobat Reader
Other identifiers:	hdl:10419/53890 [Handle]
Classification:	C23 - Models with Panel Data ; D24 - Production; Capital and Total Factor Productivity; Capacity ; O30 - Technological Change; Research and Development. General
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10003641346