https://j.ideasspread.org/index.php/jems/issue/feed 2024-05-07T19:28:35+08:00 Jamie Brown jems@ideasspread.org Open Journal Systems <p>Journal of Economics and Management Sciences (JEMS) is an international, double-blind peer-reviewed, open-access journal published by IDEAS SPREAD INC. The journal is published in both print and online versions. The online version is free access and download.<br>The journal focuses on the following topics: Corporate Ggovernance, Human Resource Management, Strategic Management, Entrepreneurship, Marketing, E-business, Services, Information Technology Management, Production &amp; Operations Management, Financial Management, Decision Analysis, Management Research Methods and Managerial Economics, etc.</p> https://j.ideasspread.org/index.php/jems/article/view/1274 2024-03-29T10:41:47+08:00 Aleena Pasha aleena.pasha@itu.edu.pk

<p class="text"><span lang="EN-US">This research examines whether macroeconomic variables disturb the financial stability of SAARC countries in 1996-2022 using panel ARDL approach. We shape the financial stability as the dependent variable, and we have developed a PCA index of financial stability (principal component analysis). This study contains of macroeconomic models with a wide choice of possibly related variables for financial stability, using financial flows, financial openness, macroeconomic stability, exchange rate and economic growth on a sample of five countries between 1996 and 2022. Our experimental suggestion proposes that most of the macroeconomic variables have a positive impact on financial stability. Therefore, our outcomes support the view that the development of macro-economic policies and political programs should be part of financial improvement. All these variables may enhance the financial stability of the countries which are under consideration.</span></p>

2024-03-28T00:00:00+08:00 ##submission.copyrightStatement## https://j.ideasspread.org/index.php/jems/article/view/1280 2024-05-07T19:28:35+08:00 Xinyi Huang s21448.huang@stu.scie.com.cn

<p class="text"><span lang="EN-US">Climate change, primarily caused by human activities, poses a significant global challenge. Countries worldwide are integrating efforts to combat climate change through initiatives such as the Paris Agreement and setting targets to reach net-zero emissions by 2050. This paper explores the potential of artificial intelligence (AI) as a promising solution to address climate change, particularly through the analysis of mass data. AI can aid in environmental decision-making processes, optimize renewable energy use, and accelerate the global transition to a low-carbon economy. Using public data from the OECD, the study investigates the effectiveness of AI in promoting a low-carbon economy by examining its impact on greenhouse gas emissions, carbon footprint, investment in research and development, renewable energy production, and recycling rates. The findings suggest that AI has been considerably effective in supporting the growth of renewable energy and recycling while restraining gas emissions and carbon footprint. However, the study also identifies potential limitations, such as the carbon release from AI itself, and suggests further improvements to AI models. </span></p>

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