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原油冲击的宏观经济影响:来自南亚国家的证据。

Macroeconomic effects of crude oil shocks: Evidence from South Asian countries.

作者信息

Ahmad Iftikhar, Iqbal Shahid, Khan Salim, Han Heesup, Vega-Muñoz Alejandro, Ariza-Montes Antonio

机构信息

Riphah School of Leadership, Faculty of Management Science (FMS), Riphah International University, Islamabad, Pakistan.

College of Hospitality and Tourism Management, Sejong University, Seoul, South Korea.

出版信息

Front Psychol. 2022 Aug 15;13:967643. doi: 10.3389/fpsyg.2022.967643. eCollection 2022.

DOI:10.3389/fpsyg.2022.967643
PMID:36046401
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9421243/
Abstract

This research tends to convey the relationship between crude oil price volatility and key macroeconomics indicators, i.e., gross domestic product (GDP), inflation rate (IR), interest rate, and exchange rate. The study collected the time-series data (2000-2020) from the South Asian countries (Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka), and employed macroeconomic policy modeling tools (impulse response function and the prediction error variance decomposition technique) in the vector autorepression (VAR) setup. The outcome of the impulse response function explained considerable variance among macroeconomic indicators in response to crude oil price shocks. The macroeconomic indicators are extremely susceptible to minor fluctuations in oil prices causing a significant impact on the region's socioeconomic situation. The result of variance decomposition indicates that each country in the region reacts differently to crude oil price volatility which reflects their macroeconomics fundamentals, independent policy, sector structure, and country differences. The findings support change in public policies in a way to reduce their dependency on oil energy and encourage them toward renewal and green energy sources for better environmental results and sustainable development.

摘要

本研究旨在揭示原油价格波动与关键宏观经济指标之间的关系,即国内生产总值(GDP)、通货膨胀率(IR)、利率和汇率。该研究收集了南亚国家(阿富汗、孟加拉国、不丹、印度、马尔代夫、尼泊尔、巴基斯坦和斯里兰卡)2000 - 2020年的时间序列数据,并在向量自回归(VAR)模型中运用宏观经济政策建模工具(脉冲响应函数和预测误差方差分解技术)。脉冲响应函数的结果表明,宏观经济指标对原油价格冲击的反应存在显著差异。宏观经济指标极易受到油价微小波动的影响,这对该地区的社会经济状况产生了重大影响。方差分解结果表明,该地区每个国家对原油价格波动的反应各不相同,这反映了它们的宏观经济基本面、独立政策、部门结构和国家差异。研究结果支持公共政策的变革,以减少对石油能源的依赖,并鼓励转向可再生能源和绿色能源,以实现更好的环境效益和可持续发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e433/9421243/532f59c257af/fpsyg-13-967643-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e433/9421243/532f59c257af/fpsyg-13-967643-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e433/9421243/532f59c257af/fpsyg-13-967643-g0001.jpg

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本文引用的文献

1
Can the resource curse be avoided? An empirical examination of the nexus between crude oil price and economic growth.资源诅咒能否避免?原油价格与经济增长关系的实证检验。
SN Bus Econ. 2022;2(1):5. doi: 10.1007/s43546-021-00179-x. Epub 2021 Dec 20.
2
The assessment of environmental sustainability: The role of research and development in ASEAN countries.环境可持续性评估:东盟国家研发的作用。
Integr Environ Assess Manag. 2022 Sep;18(5):1313-1320. doi: 10.1002/ieam.4569. Epub 2022 Jan 18.
3
COP21 Roadmap: Do innovation, financial development, and transportation infrastructure matter for environmental sustainability in China?
COP21 路线图:创新、金融发展和交通基础设施对中国的环境可持续性是否重要?
J Environ Manage. 2020 Oct 1;271:111026. doi: 10.1016/j.jenvman.2020.111026. Epub 2020 Jul 4.