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In the present study, the causality between resource rents, openness, and economic growth was investigated using the quantile causality method and quarterly data (2006–2021) in Iran. The advantage of this method is that it makes it possible to investigate the relationships of variables in the conditional distribution tail and all quantiles by using quantile‐based conditional regressions. The results showed a bi‐direction causality between resource rents and growth in the tail of the distribution. Therefore, in the upper median quantiles, the causality is from the resources rent to growth, and in the lower quantiles, the causality is in the opposite direction. The results confirmed, in general, the presence of bi‐direction causality between economic growth and openness in quantiles. In the middle quantile, there is a uni‐direction causality relationship from growth to the trade openness, and in the upper quantile, there is causality from openness to economic growth. In addition, the results showed evidence of a tail dependency between resource rents and trade openness, in some quantiles, the causal relationship is from openness to the resources rent, and in the median quantiles, the causality is from rent to openness. These results show that the rent effect of natural resources can be considered as an opportunity for economic growth by adopting appropriate and flexible policies by governments. We recommend the implementation of more trade liberalization policies to maximize the benefits from trade openness, especially in the countries where the resource curse phenomenon reported. Important policy implications can be learned from the empirical results. [ABSTRACT FROM AUTHOR]

This study explores the impact of natural resource exploitation, trade openness, and economic growth on carbon emissions in a sample of oil‐exporting nations for the period 1971–2014. To examine this relationship, we used the panel autoregressive distributed lag model and a set of econometric techniques accounting for cross‐sectional dependence. Our results indicate that the exploitation of natural resources and trade openness have a long‐term negative impact on environmental quality. Furthermore, our analysis confirms the validity of the Kuznets Environmental Curve for oil‐exporting countries. An assessment of causality reveals a bidirectional link between natural resources, economic growth, and CO2 emissions, as well as a unidirectional link between trade openness and CO2 emissions. In the light of our findings, appropriate policies could include the imposition of more stringent regulations on the exploitation of natural resources, the application of taxes on carbon emissions, and the promotion of clean and renewable technologies. Greater international cooperation is also needed to address these environmental issues on a global scale. [ABSTRACT FROM AUTHOR]

The bioeconomy, emerging as a beacon of sustainable development and global competitiveness, relies on renewable biological resources. This study investigates the interplay between institutional quality and bioeconomy performance in 28 European countries. By employing a Fixed Effect Regression and different sensitivity analyses, we unveil a robust, positive, and statistically significant relationship between the institutional quality and the socio-economic indicator for bioeconomy. The six institutional quality pillars - political stability, control of corruption, government effectiveness, regulatory quality, rule of law, and voice and accountability - positively impact the bioeconomy in Europe. These findings underscore the pivotal role of institutions in shaping bioeconomy performance, emphasizing the profound impact of political stability, regulatory standards, and anti-corruption measures. As a result, our research provides valuable insights for policymakers, highlighting the significance of enhancing institutional quality as a means to advance sustainability and stimulate economic growth through bioeconomy development. [ABSTRACT FROM AUTHOR]

Coal has been a valuable natural resource for Pakistan not just for its relative abundance but for its critical role in the progress of various energy industries. This study analyzes the impact of economic growth and coal intensity on Pakistan's coal consumption. The effects of economic scale and coal intensity factors are studied to analyze the decomposition under the national economic plan, industrial economic and intensity effects. To achieve this objective, we applied the Laspeyres index of decomposition method for yearly data spanning the period of 2001–2020. The empirical findings show that (i) economic growth leads to a rise in coal consumption; however, coal intensity effects present mixed results due to lower production and technology. The reason is that Pakistan started coal production from the Thar coalfield during the half-decade with a growth of 35.9%, which caused industrial intensity during 2006–2010 and 2011–2015. (ii) The power industry has the maximum contribution (98%) to the overall impact regarding the intensity effect. Cement, brick-kilns and Pak-steel industries contributed 0.06%, 1.71% and 7.66 (until 2015), respectively. (iii) The highest economic contributors are the brick-kilns, cement and power industries, which provide 166.56, 4614.74 and 1435.94 billion US$ respectively between 2001 and 2020. (iv) From 2001 to 2015, the coal intensity of each industry was mixed, but it then increased through 2020. Furthermore, these industries demonstrate that when coal use drops, the intensity will reduce. Finally, the average coal consumption is predicted to be about 35.80% from 2025 to 2035, which means that Pakistan may substitute its domestic resources and conserve its energy because of technical enhancement. • Economic and intensity effects of coal consumption in Pakistan are discussed. • Laspeyres index and intensity decomposition are analyzed as a whole and industries. • Economic growth is the factor which increases coal consumption. • Brick-Kilns, Cement and Power industries are the higher economic contributors. • Average coal consumption is predicted to be about 35.80% from 2025 to 2035. [ABSTRACT FROM AUTHOR]

The ongoing integration of artificial intelligence (AI) into the fundamental fabric of society constitutes a transformative process, with the potential to exert profound influence on various facets of human existence including environmental quality. Our research investigates the interaction of AI and renewable energy production in 22 leading robotics and innovative countries, providing crucial insights into a previously underexplored domain. The study's novelty and originality are in demonstrating the precise impact of AI in enhancing and revolutionizing renewable energy production, consequently addressing, and filling a critical study gap. Our analysis comprises both asymmetric and symmetric assumptions to cover the positive and negative shocks of artificial intelligence on renewable energy from 1991 to 2020. The findings from the panel NARDL analysis provide substantial support for the profound impact of changes in artificial intelligence (AI) on the substantial stimulation of renewable energy in the long-run. Furthermore, AI plays a substantial role in enhancing long-term renewable energy production in the panel symmetric ARDL. In the country-specific investigation, it is found that Austria, Germany, and New Zealand are the nations where both affirmative and adverse changes in AI improve clean energy structure significantly in the short run. Natural resources, information communication technology (ICT), and economic growth also enhance renewable energy production. Finally, policies are directed to increase renewable energy production. [ABSTRACT FROM AUTHOR]

In an era where there is heightened worldwide attention towards environmental issues, the findings obtained from this study have the potential to contribute to policy-making processes that are grounded in empirical data. These policies are intended to foster sustainable economic development, decrease the release of greenhouse gases, and alleviate the negative consequences associated with climate change. The present study undertook a detailed analysis of key factors across OECD countries, encompassing the time period from 1990 to 2022. We utilized robust analytical techniques, such as the Method of Moments Quantile Regression, together with stringent diagnostic testing, to validate and strengthen our findings. The present study has successfully shown a robust and statistically significant correlation between economic expansion and the emission of greenhouse gases. This highlights the significance of implementing sustainable growth strategies that consider the environmental consequences. The findings suggest that both trade openness and globalization are inversely related to emissions, underscoring the potential advantages of international collaboration in mitigating carbon footprints. The study revealed that the emissions were highly influenced by the quality of institutions, highlighting the crucial importance of strong regulatory frameworks and effective environmental governance in controlling emissions. The influence of total natural resource rent and renewable electricity generation on emissions trends has been identified, highlighting the significance of sustainable resource management and the shift towards green energy. The findings of this study have substantial significance for OECD countries as they confront the complexities associated with climate change and the pursuit of environmental sustainability. It is advisable for policymakers to take into account the many effects of economic growth, trade, globalization, resource management, the adoption of renewable energy, and institutional quality on emissions. • This study delves into the determinants of greenhouse gas emissions in OECD countries from 1990 to 2022. • Factors such as economic growth, natural resource prices, and trade are found to contribute to increased CO2 emissions. • Improved institutional quality is associated with better environmental quality outcomes. • The impact of globalization appears to have a detrimental effect on greenhouse gas emissions. • Surprisingly, the study suggests that renewable electricity output does not play a significant role in reducing emissions. • The research employs cointegration regressions and robust least squares methods to validate the empirical findings. [ABSTRACT FROM AUTHOR]