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Data Analysis of Decision Support for Sustainable Welfare in The Presence of GDP Threshold Effects: A Case Study of Interactive Data Exploration

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  • Fahimeh Asgari
  • Seyedeh Gol Ara Ghoreishi
  • Matin Khajavi
  • Ali Foozoni
  • Ali Ala
  • Ahmad Gholizadeh Lonbar

Abstract

Energy usage and GDP have been the subject of numerous studies over the past decades. It has been overlooked by previous studies that energy consumption correlates with economic growth in relation to GDP. This study uses threshold regression and Granger causality testing to identify GDP-dependent causality in ten OECD countries over the last 10 years. There is a significant correlation between economic growth and energy consumption. Energy consumption and short-term economic growth are statistically significantly correlated. There is a significant positive effect of energy consumption (EC) on GDP in the short run below the threshold of $10,936 USD since the coefficient is 3.34 and the p-value is 0.0252. There is a -0.0127-correlation coefficient and a 0.0327 p-value associated with GDP Granger-cause EC over the long run. EC and GDP are not causally related for GDP per capita above $10,936 USD. In the long run, GDP Granger causes EC with a coefficient of -0.1638 and a p-value of 0.0675. According to the study, sustainable development requires sustainable use of natural resources, technological investment, foreign direct investment, and gross fixed capital formation. Economic growth can be boosted while adhering to sustainability goals by implementing these recommendations.

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  • Fahimeh Asgari & Seyedeh Gol Ara Ghoreishi & Matin Khajavi & Ali Foozoni & Ali Ala & Ahmad Gholizadeh Lonbar, 2024. "Data Analysis of Decision Support for Sustainable Welfare in The Presence of GDP Threshold Effects: A Case Study of Interactive Data Exploration," Papers 2407.09711, arXiv.org, revised Aug 2024.
    • Handle: RePEc:arx:papers:2407.09711
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    References listed on IDEAS

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