IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2023-02-23.html
   My bibliography  Save this article

Analysis of the Effect of Oil and Energy Production on Health and Education Expenditures in Kazakhstan with Autoregressive Distributed Lag Method

Author

Listed:
  • Zhazira Taibek

    (M. Auezov South Kazakhstan University, Shymkent, Kazakhstan)

  • Indira Kozhamkulova

    (M. Auezov South Kazakhstan University, Shymkent, Kazakhstan)

  • Almas Kuralbayev

    (Branch of the Academy of Public Administration under the President of the Republic of Kazakhstan, Turkestan, Kazakhstan)

  • Bagdat K. Spanova

    (Karaganda University of Kazpotrebsoyuz, Karaganda, Kazakhstan)

  • Kundyz Myrzabekkyzy

    (Khoja Akhmet Yassawi International Kazakh-Turkish University, Turkestan, Kazakstan)

Abstract

This study analyzes the impact of Kazakhstan's oil and energy production between 2000 and 2020 on government expenditures on health and education. Kazakhstan s total crude oil and natural gas production, gas fuel production and distribution, domestic general government health expenditures (% of GDP), out-of-pocket health expenditures (% of total health expenditures), and government expenditures on education (% of GDP) are included. ARDL analysis showed that oil and natural gas production has an impact on government expenditures on health and education. Moreover, the boundary value proved that this effect exists in both the short and long terms. ARDL analysis also showed that oil and natural gas production has a short-term effect on out-of-pocket health expenditures, but not in the long term. These findings can be interpreted as there are scientific grounds to expect that the impact of energy production on government investments in education and health will continue in the future.

Suggested Citation

  • Zhazira Taibek & Indira Kozhamkulova & Almas Kuralbayev & Bagdat K. Spanova & Kundyz Myrzabekkyzy, 2023. "Analysis of the Effect of Oil and Energy Production on Health and Education Expenditures in Kazakhstan with Autoregressive Distributed Lag Method," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 215-221, March.
  • Handle: RePEc:eco:journ2:2023-02-23
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/14039/7203
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijeep/article/view/14039
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alberto Alesina & Dani Rodrik, 1994. "Distributive Politics and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 465-490.
    2. Dinmukhamed Kelesbayev & Kundyz Myrzabekkyzy & Artur Bolganbayev & Sabit Baimaganbetov, 2022. "The Effects of the Oil Price Shock on Inflation: The Case of Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 477-481, May.
    3. Artur Bolganbayev & Baltaim Sabenova & Gulmira Mombekova & Gulnur Sultankhanova & Tazhibayeva Raikhan Musamatovna, 2022. "The Effect of Electricity Generation, Thermal Energy Production, Fixed Capital Investment, and Consumer Price Index on Economic Growth in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 67-72, November.
    4. Seyfettin Erdo an & Durmu a r Y ld r m & Ayfer Gedikli, 2020. "Relationship Between Oil Revenues and Education in Gulf Cooperation Council Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 193-201.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tazhikul Mashirova & Karlygash Tastanbekova & Murat Nurgabylov & Gulnar Lukhmanova & Kundyz Myrzabekkyzy, 2023. "Analysis of the Relationship between the Highest Price and the Trading Volume of the Energy Company Shares in Kazakhstan with Frequency Domain Causality Method," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 22-27, July.
    2. Gaukhar Niyetalina & Elmira Balapanova & Almas Kuralbayev & Gulnar Lukhmanova & Artur Bolganbayev, 2023. "The Relationship of Energy Generation from Fossil Fuels, Low Carbon Resources, and Renewable Resources and Inflation within the Framework of Taylor s Rule: The Case of Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 9-15, July.
    3. Gulbakhram Sartbayeva & Elmira Balapanova & Darkhan Kozhanovich Mamytkanov & Lyazat Talimova & Gulnar Lukhmanova & Kundyz Myrzabekkyzy, 2023. "The Relationship between Energy Consumption (Renewable Energy), Economic Growth and Agro-Industrial Complex in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(6), pages 227-233, November.
    4. Aina B. Aidarova & Gulshat Abdimutalipovna Zhadigerova & Ainur Abilkassym & Lyailya Abdybayevna Baibulekova & Dina B. Balabekova & Saule A. Ilasheva, 2023. "Analysis of the Relationship between Energy Consumption, Foreign Direct Investment, and Labor Force Participation by Vector Error Correction Model: The Case of Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 108-114, September.
    5. Saken Ualikhanovich Abdibekov & Bauyrzhan Susaruly Kulbay & Yelena Evgenevna Gridneva & Gulnar Shaimardanovna Kaliakparova & Tolendi Aripbaevich Ashimbayev & Gulmira Amangeldiyevna Perneyeva, 2023. "The Relationship between the Share of Renewable Energy in Total Energy Consumption and Economic Growth: Kazakhstan and Turkiye Comparision," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 24-30, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adam, Antonis & Moutos, Thomas, 2011. "A politico-economic analysis of minimum wages and wage subsidies," Economics Letters, Elsevier, vol. 110(3), pages 171-173, March.
    2. Persson, Torsten & Tabellini, Guido, 2002. "Political economics and public finance," Handbook of Public Economics, in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 3, chapter 24, pages 1549-1659, Elsevier.
    3. Gonzalez-Eiras, Martín & Niepelt, Dirk, 2012. "Ageing, government budgets, retirement, and growth," European Economic Review, Elsevier, vol. 56(1), pages 97-115.
    4. Graziella Bertocchi, 2011. "The Vanishing Bequest Tax: The Comparative Evolution Of Bequest Taxation In Historical Perspective," Economics and Politics, Wiley Blackwell, vol. 23(1), pages 107-131, March.
    5. Grossmann, Volker, 2008. "Risky human capital investment, income distribution, and macroeconomic dynamics," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 19-42, March.
    6. Vos, Rob & Frenkel, Roberto & Ocampo, José Antonio & Palma, José Gabriel & Marfán, Manuel & Ros, Jaime & Taylor, Lance & Correa, Nelson & Cimoli, Mario, 2005. "Beyond Reforms: Structural Dynamics and Macroeconomic Vulnerability," IDB Publications (Books), Inter-American Development Bank, number 347.
    7. Carine Nourry, 2012. "Dasgupta, D.: Modern growth theory," Journal of Economics, Springer, vol. 105(1), pages 97-100, January.
    8. Sobel, Andrew C., 2002. "State institutions, risk, and lending in global capital markets," International Business Review, Elsevier, vol. 11(6), pages 725-752, December.
    9. Arief Anshory Yusuf, 2005. "A Survey on Growth and Inequality: Does Improved Inequality Data Have Anything to Say?," Working Papers in Economics and Development Studies (WoPEDS) 200501, Department of Economics, Padjadjaran University, revised Oct 2005.
    10. Hentschel, Jesko & Lanjouw, Jean Olson & Lanjouw, Peter & Poggi, Javier, 1998. "Combining census and survey data to study spatial dimensions of poverty," Policy Research Working Paper Series 1928, The World Bank.
    11. Günther Rehme, 2007. "Education, Economic Growth and Measured Income Inequality," Economica, London School of Economics and Political Science, vol. 74(295), pages 493-514, August.
    12. Jun, Bogang & Hwang, Won-Sik, 2012. "Financial Hurdles for Human Capital Accumulation: Revisiting the Galor-Zeira Model," MPRA Paper 46317, University Library of Munich, Germany.
    13. Ghosh, sudeshna, 2017. "Education Attainment Forecasting and Economic Inequality United States," MPRA Paper 89712, University Library of Munich, Germany.
    14. Woo, Jaejoon, 2023. "Revisiting Okun's law in South Korea: Asymmetries, crises, and structural changes," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    15. Michael P. Keane & Eswar S. Prasad, 2002. "Inequality, Transfers, And Growth: New Evidence From The Economic Transition In Poland," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 324-341, May.
    16. Fawaz, Fadi & Rahnamamoghadam, Masha & Valcarcel, Victor, 2014. "A Refinement of the Relationship between Economic Growth and Income Inequality in Developing Countries," MPRA Paper 55268, University Library of Munich, Germany.
    17. Svenja Flechtner & Claudius Gräbner, 2019. "The heterogeneous relationship between income and inequality: a panel co-integration approach," Economics Bulletin, AccessEcon, vol. 39(4), pages 2540-2549.
    18. Benabou, Roland, 2005. "Inequality, Technology and the Social Contract," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 25, pages 1595-1638, Elsevier.
    19. Shinhye Chang & Rangan Gupta & Stephen M. Miller, 2018. "Causality Between Per Capita Real GDP and Income Inequality in the U.S.: Evidence from a Wavelet Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 269-289, January.
    20. Marina Dodlova & Anna Gioblas, 2017. "Regime type, inequality, and redistributive transfers in developing countries," WIDER Working Paper Series wp-2017-30, World Institute for Development Economic Research (UNU-WIDER).

    More about this item

    Keywords

    Kazakhstan; Oil; Energy; Education; Health; ARDL;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ2:2023-02-23. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.