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

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Bank of Canada Working Paper ; No. 2008-4

Classification and Topics

• Classification: Wirtschaft ; Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models ; Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity ; Innovation; Research and Development; Technological Change; Intellectual Property Rights: General
• Subject: Productivity ; Produktivität ; Informationstechnik ; Wettbewerb ; Freihandel ; Forschung ; Industrie ; Kanada

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Leung, Danny ; Zheng, Yi
• Event: Veröffentlichung
• (who): Bank of Canada
• (where): Ottawa
• (when): 2008

Further information

• DOI: doi:10.34989/swp-2008-4
• Handle: http://hdl.handle.net/10419/53890
• Last update: 10.03.2025, 11:43 AM CET