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The Relationship between Energy Consumption (Renewable Energy), Economic Growth and Agro-Industrial Complex in Kazakhstan

Author

Listed:
  • Gulbakhram Sartbayeva

    (Central Asian Innovation University, Shymkent, Kazakhstan)

  • Elmira Balapanova

    (Abai Kazakh National Pedagogical University, Almaty, Kazakhstan)

  • Darkhan Kozhanovich Mamytkanov

    (Al-Farabi Kazakh National University, Almaty, Kazakhstan)

  • Lyazat Talimova

    (Karaganda University of Kazpotrebsoyuz, Karaganda, Kazakhstan)

  • Gulnar Lukhmanova

    (Zhetysu University named after I. Zhansugurov, Taldykorgan, Kazakhstan)

  • Kundyz Myrzabekkyzy

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

Abstract

This study analyzes the relationship between energy consumption (renewable energy), economic growth, and developments in Kazakhstan's agricultural industry complex (agriculture and livestock outputs) between 1991 and 2021 and the interaction of these factors. Analysis data were retrieved from the databases of Our World in Data, the World Bank, and the Bureau of National Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan. The study examines energy consumption over two variables. The first is the share of energy obtained from renewable energy sources in the total energy consumption, and the second is the total energy consumption. It is only natural to expect an increase in agricultural production due to new technologies in the industry. However, it is also essential to examine whether the country's economic growth, agricultural fields, and employment in agriculture play a role in energy consumption. One of the significant indicators of the developments in the agricultural industry is the reflection of the production in agriculture and animal husbandry on internationally valid indices. Therefore we deemed it appropriate to compare the input variables with the food index produced by the World Bank. The effects of agricultural industry assets and agricultural developments on energy consumption were examined using the hierarchical regression analysis approach. The findings showed that agricultural developments affect energy consumption, especially renewable energy consumption. This study concludes that it is necessary to examine the causality of this effect and whether it transforms into a short-term or long-term effect.

Suggested Citation

  • 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.
    • Handle: RePEc:eco:journ2:2023-06-25
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    References listed on IDEAS

    as
    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. 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.
    3. Sholpan Smagulova & Aigerim Yermukhanbetova & Kuralay Nurgaliyeva & Baimykhanova Sariya & Zhanymgul Baimukasheva & Almagul Manap & Gaini Koyshinova & Chulpan Akimbekova, 2023. "The Impact of Energy Production on the Introduction of ICT and the Growth of AIC in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 477-488, January.
    4. 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.
    5. 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.
    6. Baltaim Sabenova & Indira Baubekova & Gulmira Issayeva & Zarema Bigeldiyeva & Artur Bolganbayev, 2023. "Comparative Analysis of Volatility Structures of Stock Index and Energy Company Returns in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 200-206, March.
    7. Kundyz Myrzabekkyzy & Bektur Keneshbayev & Dina I. Razakova & Indira Kenzhebekova & Zhansulu Pirmanova, 2022. "Analysis of Causality Relationship Between the Economic Growth and the Energy Production and Technological Investments in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 123-126, November.
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    More about this item

    Keywords

    Kazakhstan; Energy Consumption; Economic Growth; Agro-Industrial Complex; Agriculture; Livestock; Hierarchical Regression Analysis; Food Index.;
    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

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