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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">ejebs</journal-id><journal-title-group><journal-title xml:lang="en">Eurasian Journal of Economic and Business Studies</journal-title><trans-title-group xml:lang="ru"><trans-title>Название журнала на русском</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2789-8253</issn><issn pub-type="epub">2789-8261</issn><publisher><publisher-name>University of International Business named after K. Sagadiyev LLP</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.47703/2789-8253-2026-1-5-18</article-id><article-id custom-type="elpub" pub-id-type="custom">ejebs-240</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>Empirical Analysis of the Readiness of Kazakhstan's Labor Resources Transformation to a "Green" Economy</article-title><trans-title-group xml:lang="ru"><trans-title></trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4479-0414</contrib-id><name-alternatives><name name-style="western" xml:lang="en"><surname>Maxyutova</surname><given-names>Ainura</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD, Researcher </p><p>Almaty </p></bio><email xlink:type="simple">711ainura@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0533-2728</contrib-id><name-alternatives><name name-style="western" xml:lang="en"><surname>Kaliyeva</surname><given-names>Saule</given-names></name></name-alternatives><bio xml:lang="en"><p>Doc. Sc. (Econ.), Associate Professor </p><p>Almaty </p></bio><email xlink:type="simple">kalievas_@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Institute of Economics CS MSHE RK</institution><country>Kazakhstan</country></aff><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>02</day><month>04</month><year>2026</year></pub-date><volume>70</volume><issue>1</issue><issue-title>Eurasian Journal of Economic and Business Studies</issue-title><fpage>5</fpage><lpage>18</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Maxyutova A., Kaliyeva S., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Maxyutova A., Kaliyeva S.</copyright-holder><copyright-holder xml:lang="en">Maxyutova A., Kaliyeva S.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ejebs.uib.kz/jour/article/view/240">https://ejebs.uib.kz/jour/article/view/240</self-uri><abstract><p>In Kazakhstan, the transition to a green economy remains insufficiently empirically researched, despite the availability of strategic documents on innovative development. The aim of the study is to assess the readiness of Kazakhstan’s workforce for the transition to a “green” economy based on an analysis of factors affecting the number of people employed in “green” jobs.The methodological base of the study includes correlation analysis and the method of statistical equations of dependencies, which identify the stability of relationships in conditions of multicollinearity of factors and a limited length of time series. The empirical study is based on official statistical data from the Bureau of National Statistics for the period 2020-2024. The results of the correlation analysis showed a high degree of correlation between the dynamics of “green” employment and a number of factors (10 out of 19), including GDP per capita, investment in fixed assets, R&amp;D expenditures, and financing of “green” economy projects. However, the application of the method of statistical equations of dependencies revealed the absence of stable functional relationships between the number of people employed in “green” jobs and most of the analyzed factors. The only variable for which a stable statistical relationship was recorded (stability coefficient K &gt; 0.7) was the unemployment rate. The prospects for further research include analyzing institutional mechanisms that shape demand for “green” competencies, expanding the time series of data, and conducting a comparative analysis with practices in EU countries.</p></abstract><kwd-group xml:lang="en"><kwd>Economy</kwd><kwd>Green Economy</kwd><kwd>Green Job</kwd><kwd>Labor Market</kwd><kwd>Labor Resource</kwd><kwd>Human Capital</kwd><kwd>Unemployment</kwd><kwd>Demography</kwd></kwd-group><funding-group><funding-statement xml:lang="en">This study was funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (AP23488981 “Transformation of Kazakhstan’s labor resources against the background of technological challenges: new quality, model, scenarios”).</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Barra, C., &amp; Ruggiero, N. (2019). 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