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Research Effort and Economic Growth

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  • Razzak, Weshah

Abstract

Endogenous growth models based on micro-foundations predict that total factor productivity (TFP) growth is positively associated with effective research effort. We use macroeconomic-pooled time series-cross sectional data for the G7 countries from 2000 to 2017 to provide a robust estimate of this positive effect of research effort on TFP growth.

Suggested Citation

  • Razzak, Weshah, 2021. "Research Effort and Economic Growth," MPRA Paper 111665, University Library of Munich, Germany, revised 25 Jan 2022.
    • Handle: RePEc:pra:mprapa:111665
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    Cited by:

    1. Sergey Krylov, 2025. "Applied Strategic Analysis of Learning and Growth as a New Tool for an Integrated Study of the Organization’s Activities in the Field of Learning and Growth Based on a Balanced Scorecard," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(3), pages 12258-12290, September.

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    Keywords

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    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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