Data Analysis of Decision Support for Sustainable Welfare in The Presence of GDP Threshold Effects: A Case Study of Interactive Data Exploration
Fahimeh Asgari, Seyedeh Gol Ara Ghoreishi, Matin Khajavi, Ali Foozoni,, Ali Ala, Ahmad Gholizadeh Lonbar

TL;DR
This paper investigates the GDP-dependent causal relationship between energy consumption and economic growth in OECD countries, revealing threshold effects and offering insights for sustainable development policies.
Contribution
It applies threshold regression and Granger causality testing to identify GDP-specific energy-growth relationships, highlighting the importance of thresholds in sustainable economic analysis.
Findings
Energy consumption positively affects GDP below $10,936 USD threshold.
GDP Granger-causes energy consumption in the long run below the threshold.
No causal relationship between energy consumption and GDP above the threshold.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAgricultural risk and resilience
