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Addressing the growth and employment effects of the extractive industries: white and black box illustrations from Kazakhstan

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  • Elkhan Richard Sadik-Zada

Abstract

This survey addresses production and employment effects, which emanate from the extractive industries of Kazakhstan. To this end, the study employs static input-output models (IOMs) of Kazakhstan for the years 2007, 2010, 2012, and 2017 and dynamic nonlinear autoregressive distributed lag (NARDL) models for the period 1995–2018. IOMs show that extractives in Kazakhstan exhibit relatively strong links to domestic manufacturing. NARDL estimators reveal a positive relationship between commodity revenues and manufacturing value added in the commodity revenue boom phase and a high level of resilience of Kazakh manufacturing to the downward movements of the commodity revenues. Commodity revenues have a statistically significant positive impact on the aggregate employment rate. The study does not detect asymmetries concerning the job creation effects of extractives in the manufacturing sector.

Suggested Citation

  • Elkhan Richard Sadik-Zada, 2021. "Addressing the growth and employment effects of the extractive industries: white and black box illustrations from Kazakhstan," Post-Communist Economies, Taylor & Francis Journals, vol. 33(4), pages 402-434, May.
    • Handle: RePEc:taf:pocoec:v:33:y:2021:i:4:p:402-434
    DOI: 10.1080/14631377.2020.1745557
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    Cited by:

    1. Izabela Jonek-Kowalska & Marian Turek, 2022. "The Economic Situation of Polish Cities in Post-Mining Regions. Long-Term Analysis on the Example of the Upper Silesian Coal Basin," Energies, MDPI, vol. 15(9), pages 1-21, April.
    2. Iryna Sotnyk & Tetiana Kurbatova & Oleksandr Kubatko & Olha Prokopenko & Gunnar Prause & Yevhen Kovalenko & Galyna Trypolska & Uliana Pysmenna, 2021. "Energy Security Assessment of Emerging Economies under Global and Local Challenges," Energies, MDPI, vol. 14(18), pages 1-20, September.
    3. Melike Bildirici & Sema Yılmaz Genç & Özgür Ömer Ersin, 2023. "Effects of Fiscal and Monetary Policies, Energy Consumption and Economic Growth on CO 2 Emissions in the Turkish Economy: Nonlinear Bootstrapping NARDL and Nonlinear Causality Methods," Sustainability, MDPI, vol. 15(13), pages 1-23, July.
    4. Niftiyev, Ibrahim, 2022. "Exclusive Linear Modeling Approach to the Natural Resource Curse in the Azerbaijani Economy: Examples of Stepwise Regression," EconStor Preprints 266036, ZBW - Leibniz Information Centre for Economics.
    5. Krzysztof Drachal, 2022. "Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression," Energies, MDPI, vol. 16(1), pages 1-29, December.
    6. Diana Dmitrieva & Victoria Solovyova, 2023. "Russian Arctic Mineral Resources Sustainable Development in the Context of Energy Transition, ESG Agenda and Geopolitical Tensions," Energies, MDPI, vol. 16(13), pages 1-28, July.
    7. Mamon Adam Maarof & Dildar Haydar Ahmed & Ahmed Samour, 2023. "Fiscal Policy, Oil Price, Foreign Direct Investment, and Renewable Energy—A Path to Sustainable Development in South Africa," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    8. Sergey Nikolaevich Silvestrov & Sergey Alekseevich Pobyvaev & Stanislav Borisovich Reshetnikov & Dmitrii Vladimirovich Firsov, 2022. "Management of the Russian Interregional Investment Distribution Using the Autonomous Expenditure Multiplier Model," Economies, MDPI, vol. 10(2), pages 1-18, February.
    9. Huaibo Yang & Chao Shi & Jianbo Li & Tianran Liu & Youwei Li & Yao Wang & Yueying Yang, 2022. "Has the Inter-Regional Power Transmission Promoted Economic Development? A Quantitative Assessment in China," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    10. Yadulla Hasanli & Elkhan Richard Sadik-Zada & Simrah Ismayilova & Günay Rahimli & Farida Ismayilova, 2023. "Could the Lacking Absorption Capacity of the Inflowing Capital Be the Real Cause of the Resource Curse?—A Case Study of Transition Economies," Sustainability, MDPI, vol. 15(14), pages 1-17, July.

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