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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="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">esp</journal-id><journal-title-group><journal-title xml:lang="ru">Economy: strategy and practice</journal-title><trans-title-group xml:lang="en"><trans-title>Economy: strategy and practice</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1997-9967</issn><issn pub-type="epub">2663-550X</issn><publisher><publisher-name>Институт экономики</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">1997-9967-2026-3-54-69</article-id><article-id custom-type="elpub" pub-id-type="custom">esp-2196</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>ФИНАНСОВАЯ ЭКОНОМИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>FINANCIAL ECONOMY</subject></subj-group></article-categories><title-group><article-title>Макроэкономические факторы инфляции в сырьевой экспортно-ориентированной экономике: на примере Казахстана</article-title><trans-title-group xml:lang="en"><trans-title>Macroeconomic Drivers of Inflation in a CommodityExporting Economy: Evidence from Kazakhstan</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0009-2224-1239</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ермекова</surname><given-names>Ж. Ж.</given-names></name><name name-style="western" xml:lang="en"><surname>Yermekova</surname><given-names>Zh. Zh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ермекова Ж.Ж. – к.э.н., ассистент-профессор</p><p> Алматы </p></bio><bio xml:lang="en"><p>Zhanna Zh. Yermekova – Cand. Sc. (Econ.), Assistant Professor</p><p>Almaty </p></bio><email xlink:type="simple">zhanna.yermekova@kaznu.edu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0000-8569-5988</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Алдабергенов</surname><given-names>Н. Ш.</given-names></name><name name-style="western" xml:lang="en"><surname>Aldabergenov</surname><given-names>N. Sh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Алдабергенов Н.Ш. – к.э.н., и.о. профессора</p><p> Алматы </p></bio><bio xml:lang="en"><p>Nurlan Sh. Aldabergenov – Cand. Sc. (Econ.), Acting Associate Professor</p><p> Almaty </p></bio><email xlink:type="simple">nauka191162@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Жапсарбай</surname><given-names>А.</given-names></name><name name-style="western" xml:lang="en"><surname>Zhapsarbay</surname><given-names>A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Жапсарбай А. – консультант</p><p>Манила </p></bio><bio xml:lang="en"><p>Askhat Zhapsarbay – Consultant</p><p>Manila </p></bio><email xlink:type="simple">askhat138@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Казахский национальный университет им. альФараби</institution><country>Казахстан</country></aff><aff xml:lang="en"><institution>Al-Farabi Kazakh National University</institution><country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Азиатский банк развития</institution><country>Филиппины</country></aff><aff xml:lang="en"><institution>Asian Development Bank</institution><country>Philippines</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>16</day><month>10</month><year>2026</year></pub-date><volume>21</volume><issue>3</issue><fpage>54</fpage><lpage>69</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ермекова Ж.Ж., Алдабергенов Н.Ш., Жапсарбай А., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Ермекова Ж.Ж., Алдабергенов Н.Ш., Жапсарбай А.</copyright-holder><copyright-holder xml:lang="en">Yermekova Z.Z., Aldabergenov N.S., Zhapsarbay A.</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://esp.ieconom.kz/jour/article/view/2196">https://esp.ieconom.kz/jour/article/view/2196</self-uri><abstract><p>Инфляция остается одной из главных макроэкономических проблем для стран с формирующимся рынком, поскольку постоянная нестабильность цен подрывает экономический рост, искажает распределение доходов и снижает эффективность денежно-кредитной политики. Целью данного исследования является оценка взаимосвязи между инфляцией, учетной ставкой, обменным курсом, ценами на нефть и трансфертами в Национальный фонд в Казахстане с использованием годовых данных за 2000-2025 годы и модели авторегрессии с распределенным лагом (ARDL). Исходные данные представляют собой годовые временные ряды за 2000–2025 годы, включающие 26 наблюдений по каждому показателю, сформированные на основе статистики Бюро национальной статистики, Национального банка Казахстана, Всемирного банка и Министерства финансов Республики Казахстан. Использованы описательная статистика, корреляционный анализ, тест Дики–Фуллера, модель авторегрессии с распределёнными лагами ARDL. Коэффициент при валютном курсе с лагом составил −0,0733 (p = 0,0274), а при текущем логарифме цены нефти — 6,9936 (p = 0,0048), тогда как текущие и лаговые коэффициенты процентной ставки и логарифма трансфертов Национального фонда по отдельности статистически незначимы на уровне 5%. Модель характеризуется коэффициентом детерминации R² = 0,6546 и общей статистической значимостью (F = 3,159; p = 0,0239), однако тест границ не подтвердил наличие долгосрочной связи между переменными (F = 2,4282; p = 0,3762). Полученные результаты способствуют более глубокому пониманию факторов инфляции в Казахстане и могут быть использованы при формировании денежно-кредитной и макроэкономической политики.</p></abstract><trans-abstract xml:lang="en"><p>Inflation remains a central macroeconomic challenge for emerging economies, as persistent price instability undermines economic growth, distorts income distribution, and weakens the effectiveness of monetary policy. This study aims to assess the relationships between inflation, the policy rate, the exchange rate, oil prices, and National Fund transfers in Kazakhstan using annual data for 2000–2025 and an Autoregressive Distributed Lag (ARDL) model. The initial data consist of annual time series for 2000–2025, including 26 observations for each indicator, compiled from statistics from the Bureau of National Statistics, the National Bank of Kazakhstan, the World Bank, and the Ministry of Finance of the Republic of Kazakhstan. Descriptive statistics, correlation analysis, the Dickey–Fuller test, and the ARDL autoregressive distributed lag model were used. The coefficient for the lagged exchange rate was −0.0733 (p = 0.0274), and for the current logarithm of the oil price, it was 6.9936 (p = 0.0048), while the current and lagged coefficients for the interest rate and the logarithm of National Fund transfers are statistically insignificant at the 5% level. The model is characterized by a determination coefficient of R² = 0.6546 and overall statistical significance (F = 1.159; p = 0.0239), however, the bounds test did not confirm the presence of a long-term relationship between the variables (F = 2.4282; p = 0.3762). These results contribute to a deeper understanding of the factors influencing inflation in Kazakhstan and can inform monetary and macroeconomic policy.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>инфляция</kwd><kwd>процентная ставка</kwd><kwd>ставка рефинансирования</kwd><kwd>фискальная стратегия</kwd><kwd>денежно-кредитная политика</kwd><kwd>макроэкономика</kwd><kwd>ресурсозависимая экономика</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Inflation</kwd><kwd>Interest Rate</kwd><kwd>Refinancing Rate</kwd><kwd>Fiscal Strategy</kwd><kwd>Monetary Policy</kwd><kwd>Macroeconomics</kwd><kwd>Resource‑Dependent Economy</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Abu Asab, N. (2025). Are supply shocks a key driver of global inflation? Evidence from CPI and GDP deflator analysis. 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