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Analysis of the Contribution of Energy, Industry, Agriculture and Food Production to Improving the Quality of Life of Citizens in Turkic States with Efficiency and Super Efficiency Analysis Methods

Author

Listed:
  • Murat Nurgabylov

    (International Taraz Innovative Institute named after Sherkhan Murtaza, Taraz, Kazakhstan)

  • Symbat Nakhipbekova

    (International University of Tourism and Hospitality, Turkestan, Kazakhstan)

  • Raikhan Tazhibayeva

    (International University of Tourism and Hospitality, Turkestan, Kazakhstan)

  • Saule Kaltayeva

    (International University of Tourism and Hospitality, Turkestan, Kazakhstan)

  • Lesbek Taizhanov

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

  • Vilena Seitova

    (Mukhtar Auezov South Kazakhstan University, Shymkent, Kazakhstan)

  • Gulbana Erzhigitovna Maulenkulova

    (Mukhtar Auezov South Kazakhstan University, Shymkent, Kazakhstan)

Abstract

One of the main goals of countries is to increase the welfare and quality of life of their citizens by using their existing wealth and production. This study aims to analyze the contribution of energy, industry, agriculture, and food production towards improving the quality of life for citizens in the Turkic States. Specifically, the study will use the efficiency and super efficiency analysis methods, known as data envelopment analysis, to analyze the years between 2017 and 2022. According to the findings, TurkiÑ States showed successful management in terms of GDP and health quality in 2019 and 2020. In 2021, only Kazakhstan and Turkmenistan remained below the effective limit. The efficiency analysis model for input showed that the efficiency in the energy production input variable for Kazakhstan is very low (83.9% idle capacity). The findings revealed a point of criticism since efficiency analysis assigns higher efficiency score values to countries that produce output with less input. Thus, testing the findings obtained by comparing efficiency analysis with different input-output models and analysis methods is considered an important methodological approach.

Suggested Citation

  • Murat Nurgabylov & Symbat Nakhipbekova & Raikhan Tazhibayeva & Saule Kaltayeva & Lesbek Taizhanov & Vilena Seitova & Gulbana Erzhigitovna Maulenkulova, 2024. "Analysis of the Contribution of Energy, Industry, Agriculture and Food Production to Improving the Quality of Life of Citizens in Turkic States with Efficiency and Super Efficiency Analysis Methods," International Journal of Energy Economics and Policy, Econjournals, vol. 14(6), pages 312-321, November.
    • Handle: RePEc:eco:journ2:2024-06-31
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    References listed on IDEAS

    as
    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
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    More about this item

    Keywords

    Data Envelopment Analysis; Super Efficiency; Energy Production; Industrial Production; Agricultural Production;
    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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