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Сохранение Традиций И Надежды На Будущее
[Preservation of traditions and hopes for the future]

Author

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  • Бондаренко Валентина Михайловна

Abstract

Статья написана по докладу Леонида Ивановича Абалкина , сделанного им в 1992 г. на международной научной конференции, посвященной 100-летию со дня рождения Н. Д. Кондратьева (Абалкин 1992). Для написания статьи также использованы доклады и выступления Л. И. Абалкина, сделанные на Кондратьевских чтениях и Международных Кондратьевских конференциях, посвященных другим датам, связанным с Н. Д. Кондратьевым, и иные материалы. This article is written on Acad. Leonid I. Abalkin's paper "N. D. Kondratieff's Academic Heritage and the Modern Times" presented thereby at the international academic conference held on the occasion of the 100th jubilee of N. D. Kondratieff. The article is also based on Acad. Abalkin's papers and presentations delivered at the Kondratieff Readings and International Kondratieff Readings devoted to other anniversaries of N. D. Kondratieff's birthdays and jubilees dates of the International N. D. Kondratieff's Foundation, as well as other materials.

Suggested Citation

  • Бондаренко Валентина Михайловна, "undated". "Сохранение Традиций И Надежды На Будущее [Preservation of traditions and hopes for the future]," Working papers a:pbo590:9, Institute of Economics.
    • Handle: RePEc:rua:wpaper:a:pbo590:9
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    More about this item

    Keywords

    Academician Leonid Abalkin; Nikolay Kondratieff; the feat of life and work; the return of scientific knowledge; historical memory; the Kondratieff waves; methodological problems;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications

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