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What Affects MFP in the Long-Run? Evidence from Canadian Industries

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  • Danny Leung
  • Yi Zheng

Abstract

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.

Suggested Citation

  • Danny Leung & Yi Zheng, 2008. "What Affects MFP in the Long-Run? Evidence from Canadian Industries," Staff Working Papers 08-4, Bank of Canada.
    • Handle: RePEc:bca:bocawp:08-4
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    Cited by:

    1. Rashid NIKZAD, 2014. "Revisiting the Impacts of Domestic and Foreign Technology Spillovers on Canadian Industries, 1978-1997," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 14(1), pages 73-86.

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    More about this item

    Keywords

    Productivity;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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