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Peter Kaznacheev

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Personal Details

First Name:Peter
Middle Name:
Last Name:Kaznacheev
Suffix:
RePEc Short-ID:pka951
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http://www.kaznacheev.com

Affiliation

Russian Presidential Academy of National Economy and Public Administration (RANEPA)

Moscow, Russia
http://www.ranepa.ru/
RePEc:edi:aneeeru (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kaznacheev, Peter, 2013. "Resource Rents and Economic Growth: Economic and institutional development in countries with a high share of income from the sale of natural resources. Analysis and recommendations based on internatio," EconStor Research Reports 121950, ZBW - Leibniz Information Centre for Economics.
    repec:rnp:ppaper:kazn01 is not listed on IDEAS
    repec:rnp:ppaper:kaznem is not listed on IDEAS
    repec:rnp:ppaper:kazn02 is not listed on IDEAS
    repec:rnp:rpaper:kazn02 is not listed on IDEAS

Articles

  1. Peter F. Kaznacheev (Казначеев, Петр) & Regina V. Samoilova (Самойлова, Регина) & Nikola V. Kjurchiski (Курчиски, Никола), 2016. "Improving Efficiency of the Oil and Gas Sector and Other Extractive Industries by Applying Methods of Artificial Intelligence [Применение Методов Искусственного Интеллекта Для Повышения Эффективнос," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 188-197, October.
    RePEc:rnp:ecopol:ep1524 is not listed on IDEAS

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Kaznacheev, Peter, 2013. "Resource Rents and Economic Growth: Economic and institutional development in countries with a high share of income from the sale of natural resources. Analysis and recommendations based on internatio," EconStor Research Reports 121950, ZBW - Leibniz Information Centre for Economics.

    Cited by:

    1. Okoye, Lawrence Uchenna & Adeleye, Bosede Ngozi & Okoro, Emmanuel E. & Okoh, Johnson I. & Ezu, Gideon K. & Anyanwu, Felicia A., 2022. "Effect of gas flaring, oil rent and fossil fuel on economic performance: The case of Nigeria," Resources Policy, Elsevier, vol. 77(C).

Articles

  1. Peter F. Kaznacheev (Казначеев, Петр) & Regina V. Samoilova (Самойлова, Регина) & Nikola V. Kjurchiski (Курчиски, Никола), 2016. "Improving Efficiency of the Oil and Gas Sector and Other Extractive Industries by Applying Methods of Artificial Intelligence [Применение Методов Искусственного Интеллекта Для Повышения Эффективнос," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 188-197, October.

    Cited by:

    1. Alexander Melnik & Irina Naoumova & Kirill Ermolaev & Jerome Katrichis, 2021. "Driving Innovation through Energy Efficiency: A Russian Regional Analysis," Sustainability, MDPI, vol. 13(9), pages 1-19, April.

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