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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">worldneweconomy</journal-id><journal-title-group><journal-title xml:lang="ru">Мир новой экономики</journal-title><trans-title-group xml:lang="en"><trans-title>The world of new economy</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2220-6469</issn><issn pub-type="epub">2220-7872</issn><publisher><publisher-name>Financial University under The Governtment оf The Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26794/2220-6469-2024-18-3-96-113</article-id><article-id custom-type="elpub" pub-id-type="custom">worldneweconomy-450</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 АНАЛИТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>FINANCIAL ANALYTICS</subject></subj-group></article-categories><title-group><article-title>Факторы, определяющие инфляцию в Пакистане: комплексный анализ макроэкономических переменных (1991–2022)</article-title><trans-title-group xml:lang="en"><trans-title>Determinants of Inflation in Pakistan: A Comprehensive Analysis of Macroeconomic Variables (1991–2022)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0002-9864-6741</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Али</surname><given-names>И.</given-names></name><name name-style="western" xml:lang="en"><surname>Ali</surname><given-names>I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Имран Али — студент 2-го курса магистратуры факультета менеджмента</p><p>Нижний Новгород</p></bio><bio xml:lang="en"><p>Imran Ali — 2nd year Master student, Faculty of Management</p><p>Nizhny Novgorod</p></bio><email xlink:type="simple">imranalieco@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0002-3017-0134</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кумар</surname><given-names>Ш. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kumar</surname><given-names>S. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Шривастава Вивек Кумар — студент 2-го курса магистратуры факультета менеджмента</p><p>Нижний Новгород</p></bio><bio xml:lang="en"><p>Srivastava Vivek Kumar — 2nd year Master student of Faculty of Management</p><p>Nizhny Novgorod</p></bio><email xlink:type="simple">vivekkumarsrivastava579@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0003-8126-025X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гусев</surname><given-names>В. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Gusev</surname><given-names>V. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Владислав Дмитриевич Гусев — студент 4-го курса бакалавриата факультета экономики</p><p>Москва</p></bio><bio xml:lang="en"><p>Vladislav D. Gusev — 4th year student of Faculty of Economic Sciences</p><p>Moscow</p></bio><email xlink:type="simple">vdgusev@edu.hse.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Национальный исследовательский университет «Высшая школа экономики»</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>14</day><month>11</month><year>2024</year></pub-date><volume>18</volume><issue>3</issue><fpage>96</fpage><lpage>113</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Али И., Кумар Ш.В., Гусев В.Д., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Али И., Кумар Ш.В., Гусев В.Д.</copyright-holder><copyright-holder xml:lang="en">Ali I., Kumar S.V., Gusev V.D.</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://wne.fa.ru/jour/article/view/450">https://wne.fa.ru/jour/article/view/450</self-uri><abstract><p>В данной научной работе исследуются факторы, определяющие инфляцию в Пакистане в период с 1991 по 2022 г. Акцент делается на ключевые макроэкономические переменные, такие как импорт, темпы роста ВВП, ВВП на душу населения, военные расходы, рост населения, обслуживание общего долга и безработица. Основная цель — проанализировать влияние этих переменных на инфляцию и предоставить политикам практические рекомендации. Вместе с годовыми временными рядами данных из надежного источника Всемирного банка WDI в исследовании используется описательная статистика, корреляционный анализ, тесты на единичный корень ADF, регрессионный анализ и модель авторегрессии с распределенным лагом (ARDL). Полученные результаты свидетельствуют о значительной взаимозависимости между исследуемыми переменными. Корреляционный анализ показывает сильную положительную связь между инфляцией, импортом и военными расходами, в то время как ВВП на душу населения и рост населения отрицательно коррелируют с инфляцией. Результаты OLS подтверждают, что увеличение объемов импорта, обслуживания государственного долга и темпов роста ВВП ускоряют инфляцию, а рост объема ВВП на душу населения, военных расходов и численности населения — замедляют. Краткосрочная динамика показывает, что инфляция быстро адаптируется к экономическим потрясениям, причем импорт и рост ВВП оказывают немедленное воздействие. Эти выводы подчеркивают важность денежно-кредитной политики, нацеленной на управление импортом и оптимизацию стратегий обслуживания долга. Кроме того, необходима политика, способствующая ускорению экономического роста и увеличению дохода на душу населения. Эффективное управление долгом и стратегические военные расходы также имеют решающее значение для поддержания ценовой стабильности. Помимо этого, необходимо более детально изучить структурные разрывы и нелинейные эффекты в динамике инфляции, а также рассмотреть влияние внешних факторов, таких как мировые цены на нефть. Данное исследование вносит важный вклад в понимание сложных экономических взаимосвязей, влияющих на инфляцию в Пакистане. Оно предоставляет политикам ценный ресурс для разработки эффективных стратегий, направленных на обеспечение экономической стабильности в развивающихся странах.</p></abstract><trans-abstract xml:lang="en"><p>This research paper investigates the determinants of inﬂation in Pakistan from 1991 to 2022, focusing on key macroeconomic variables such as imports, GDP growth rate, GDP per capita, military expenditure, population growth, total debt service, and unemployment. The main objective is to analyse the impact of these variables on inﬂation and provide policymakers with actionable insights. Utilizing annual time series data from reliable source World Bank WDI, the study employs descriptive statistics, correlation analysis, ADF unit root tests, regression analysis, and the Autoregressive Distributed Lag (ARDL) model. The ﬁndings reveal signiﬁcant interdependencies among the examined variables. The correlation analysis shows strong positive relationships between inﬂation and imports and military expenditure, while GDP per capita and population growth negatively correlate with inﬂation. OLS results conﬁrm that imports, GDP growth, and total debt service signiﬁcantly raise inﬂation, whereas GDP per capita, military expenditure, and population reduce inﬂation. The ARDL model reveals that, in the long run, imports, GDP growth, and debt service positively affect inﬂation, while GDP per capita, population growth, and unemployment exert downward pressure. Short-run dynamics indicate that inﬂation quickly adjusts to economic shocks, with imports and GDP growth having an immediate impact. These ﬁndings highlight the importance of managing imports and debt, while promoting economic growth to maintain price stability. The policy implications emphasize the need for targeted monetary policies to manage imports and optimize debt service strategies, as well as policies aimed at enhancing economic growth and increasing per capita income. Effective debt management and strategic military spending are also vital for maintaining price stability. Despite its comprehensive analysis, the study identiﬁes gaps such as the need for further exploration of structural breaks and non-linear effects in inﬂation dynamics, and the impact of external factors like global oil prices. The signiﬁcance of this research lies in its contribution to understanding the complex economic interactions inﬂuencing inﬂation in Pakistan, providing a crucial resource for policymakers to develop effective strategies for economic stability in developing economies.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>инфляция</kwd><kwd>макроэкономические переменные</kwd><kwd>импорт</kwd><kwd>темпы роста ВВП</kwd><kwd>ВВП на душу населения</kwd><kwd>военные расходы</kwd><kwd>рост населения</kwd><kwd>общая сумма долга</kwd><kwd>безработица</kwd><kwd>ARDL-модель</kwd><kwd>экономика Пакистана</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Inflation</kwd><kwd>Macroeconomic Variables</kwd><kwd>Imports</kwd><kwd>GDP Growth Rate</kwd><kwd>GDP per Capita</kwd><kwd>Military Expenditure</kwd><kwd>Population Growth</kwd><kwd>Total Debt Service</kwd><kwd>Unemployment</kwd><kwd>ARDL Model</kwd><kwd>Pakistan 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">Kinlaw W., Kritzman M., Metcalfe M., Turkington D. 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