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Long run convergence in a neo-Kaleckian open-economy model with autonomous export growth

Author

Listed:
  • Won Jun Nah
  • Marc Lavoie

    (University of Ottawa (CA))

Abstract
A simple neo-Kaleckian open-economy model is presented and its implications for growth regimes are analyzed. The present model features long run-convergence to its normal rate of capacity utilization, which is conditionally achieved by incorporating the Harrodian principle of instability and autonomous growth in foreign demand. It is demonstrated that some aspects of the main Kaleckian results can be preserved not only in the short run but also in the long run, in the sense that both (i) a decrease in the propensity to save, and (ii) a change in income distribution favoring labor, bring about higher average rates of production growth and capital accumulation. However, the long-run impact of a change in the profit share is shown to be subjected to the condition that the responsiveness of the real exchange rate with respect to the profit share has to be bounded from above, confirming that the scope for wage-led demand or wage-led growth can be limited by open-economy considerations.

Suggested Citation

  • Won Jun Nah & Marc Lavoie, 2016. "Long run convergence in a neo-Kaleckian open-economy model with autonomous export growth," Working Papers PKWP1604, Post Keynesian Economics Society (PKES).
  • Handle: RePEc:pke:wpaper:pkwp1604
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    neo-Kaleckian; growth; capacity utilization; exports; profit share; real exchange rate;
    All these keywords.

    JEL classification:

    • E11 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Marxian; Sraffian; Kaleckian
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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