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To gain a deeper understanding of the intrinsic dynamic relationship between energy consumption and economic growth in China. This study employs panel cointegration and causality models, utilizing the SYS-GMM technique to assess the factors influencing economic growth in China's green finance sector from 2002 to 2022. The research explores the interactions among multiple variables related to the Chinese economic context, including economic growth, carbon dioxide emissions, total natural resource rents, energy consumption, and environmental impact. While considering key factors that may cause structural disturbances in the time series analysis. The findings indicate the existence of long-term cointegration relationships among these variables, with positive correlations between economic growth and total natural resource rents, energy consumption, energy quantity, and ecological footprint. Results also show a bidirectional causal relationship between carbon dioxide emissions and energy consumption and a unidirectional correlation between energy consumption and GDP growth. Additionally, energy intensity (EI) improvements supported by green finance are linked to a significant reduction in CO2 emissions, with a coefficient of -1.933 (p < 0.05), underscoring the role of technological innovation. Further evaluations suggest that investments in renewable energy can promote economic growth, create job opportunities, and reduce greenhouse gas emissions. Energy-saving measures and green finance-supported technological innovations play crucial roles in improving energy intensity and reducing CO2 emissions. The study also underscores the importance of economic diversification to reduce dependence on natural resources and enhance economic stability. Future research should further explore the economic feasibility and environmental benefits of emerging technologies such as Carbon Capture and Storage (CCS), providing deeper insights into sustainable energy practices. [ABSTRACT FROM AUTHOR]

Africa began implementing the Sustainable Development Goals (SDGs) in 2015 emphasizing on sustainable management and effective use of natural capital to spur economic growth (Goals 12, 14, and 15). This study using World Bank data sets from 46 African countries selected for the years 2000 to 2022, examined the nexus between natural resource endowments and economic growth in Africa. We used the system generalized method of moments (sys-GMM) and dynamic panel threshold regression (DPTR) to analyze the data. The findings of the two-step sys-GMM estimation using 'xtabond2' revealed that when the institutional quality variable is added and excluded from the model, natural resource dependence negatively impacts economic growth, but the impact is greater when the institution is excluded. In the estimation of the interaction variable of natural resource dependence and institutional variable included in the model, natural resource dependence positively impacts economic growth. The results of the DPTR using "xthenreg" showed that when the threshold value of natural resource dependence is ≤ 1.73% of gross domestic product, natural resource dependence has a positive impact on economic growth and a negative impact when the threshold value is above 1.73%. Similarly, when the institutional quality threshold is ≤ 0.277, natural resources dependence impacts economic growth negatively; above the threshold (0.277), the impact is positive. In conclusion, natural resource endowment is a curse with no or low-quality institutions and a blessing with high-quality institutions. Thus, building strong institutions and proper utilization of natural resources helps to minimize the adverse impact of resource endowments on economic growth. [ABSTRACT FROM AUTHOR]

This study attempts to investigate how Germany's energy transition has affected environmental quality by considering natural resources, economic growth, financial development, and financial globalization for the period from 1980 to 2021. It is also aimed to discover that the interactions alter with different levels of load capacity factor and explanatory variables using novel quantile-based approaches. Thanks to the unique approaches utilized, the environmental efficacy of the energy transition process can be determined for different quantiles and time periods. The results reveal that although financial globalization and financial development enhance environmental quality, economic growth and increasing natural resource rents harms environment. In addition, the increase in energy transition in all quantiles also has a positive effect on the load capacity. This impact is weak in quantiles with high and low environmental quality, but it becomes more pronounced in middle quantiles of load capacity. Our study offers various policy recommendations to increase the short- and long-term low-level environmental effectiveness of the energy transition process in Germany. [ABSTRACT FROM AUTHOR]

Related Articles This study investigates how governance and infrastructure moderate the effect of natural resource rents on economic growth using a sample of 110 countries from 2000 to 2018. The empirical evidence is based on panel smooth transition regressions (PSTR). The nexus between economic growth and natural resources is not linear and the underlying non‐linearity is contingent on existing infrastructural and governance levels. Evidence of a “natural resource curse” is apparent in countries with extremely low levels of governance and infrastructural development. The favorable effect of natural resources on economic growth requires a governance threshold of −1.210 and an infrastructure threshold of 2.583, indicating that countries with governance and infrastructure levels higher than these values tend to benefit much more from the wealth of natural resources. Countries identified below the established thresholds are mainly from Africa. Policy implications are discussed with specific emphasis on African countries.Ali, Hamid E., and Shahjahan Bhuiyan. 2022. “Governance, Natural Resources Rent, and Infrastructure Development: Evidence from the Middle East and North Africa.” Politics & Policy 50(2): 408–40. https://doi.org/10.1111/polp.12451.Asiegbu, Martin F., Okey Marcellus Ikeanyibe, Pius Otu Abang, Okwudili Chukwuma Nwosu, and Chuka Eugene Ugwu. 2024. “Natural Resource Fund Governance and the Institutionalization of Rent Seeking in Nigeria's Oil Sector.” Politics & Policy 52(1): 169–95. https://doi.org/10.1111/polp.12579.Ikeanyibe, Okechukwu M. 2018. “Bureaucratic Politics and the Implementation of Liberalization Reforms in Nigeria: A Study of the Unbundling and Reorganization of the Nigerian National Petroleum Corporation.” Politics & Policy 46(2): 263–94. https://doi.org/10.1111/polp.12249. [ABSTRACT FROM AUTHOR]

This paper introduces a dynamic model of economic growth and tourism when the environmental dimension is included in the decision‐making process of the agents. In this setup, the economy can be represented by a four‐dimensional dynamic system, which admits a set of four‐dimensional optimal trajectory. Using dynamic programming tools, we aim to study the economic behaviour of a touristic economy in which environmental dimension is considered as a system's component. It is shown that there is a unique non‐trivial equilibrium of all variables. The general results of the study indicate that the variable's dynamic relationships are complex and that the growth guided by the tourism development could exist under the presence of pollution as well as the dynamic of natural resources. The main policy implication of the results is that policy makers should control the main system's variables in order to stay in a desirable path. [ABSTRACT FROM AUTHOR]

This research delves into whether access to natural resources is a blessing or a curse, a matter of contention within contemporary literature. Lacking conclusive evidence, particularly within the G‐20 countries, this study endeavors to establish the intricate linkages between economic development, natural resources, and economic complexity. A subset of G‐20 economies from 1990 to 2021 was used to analyze the results of the second‐generation CS‐ARDL model. After accounting for variables like corruption, total labor force, gross capital formation, trade openness, and inflow of foreign direct investment, we find that natural resources, economic complexity, corruption and gross capital formation are significant and adverse predictors of economic growth. Natural resource dependence is susceptible to price fluctuations and sustainability concerns, economic complexity may introduce market volatility challenges, corruption erodes trust and transparency, and excessive gross capital formation can lead to economic imbalances. On the other hand, economic growth is positively impacted by the additional effects of the control variables, including foreign direct investment, trade openness and labor force. In crafting its policy recommendations, this study artfully weaves a tapestry that resonates with the core principles of the Sustainable Development Goals (SDGs). These strategic imperatives include the adept stewardship of resources, the cultivation of economic diversity, the seamless facilitation of trade, the fortification against corruption, and a harmonious symphony that underscores financial stability and the nurturing of human capital, ultimately painting a vivid portrait of sustainable economic growth. [ABSTRACT FROM AUTHOR]

The issue of environmental degradation has become pertinent and the call for carbon neutrality has intensified in recent years. Achieving this target will require countries to meet the conditions of the sustainable development goals. To do this, the study applied spatiotemporal modelling and the generalized method of moments (GMM) to examine the nexus between economic growth (EG) and the load capacity factor (LCF) through environmental goods (ENG) and environmental tax (ENT) among European Union (EU) nations from 1995 to 2018. The findings demonstrate that spatial dependence leads to a change in EG and LCF that impacts the EG and LCF of the neighbouring countries. The study also found that there is a significant positive and bidirectional relationship between economic growth and load capacity factor. Moreover, the study revealed that a positive effect of ENG, ENT, REN and Human Capital Index (HCI) on EG, with a reducing effect from natural resource rents (NRR). Finally, HCI improves environmental quality, while ENG, ENT, REN and NRR degrade the environment. Our findings justify the need for EU countries and other developed nations to implement policies that will help achieve a green economic transformation. [ABSTRACT FROM AUTHOR]

There is a growing global concern about the challenges of sustainable development. Furthermore, these concerns are becoming increasingly prevalent in Bangladesh on a daily basis. This may be attributed to the escalating influx of remittances, the degradation of natural resources, and the potential adverse impacts of economic growth on the ecosystem. Thus, this research looks at how remittances (REM) and natural resources (NR) affect the ecological footprint (EFP) in Bangladesh by controlling economic growth (EG), renewable energy (REN), and urbanization (URB) from 1990 to 2021. The study utilizes the linear and non‐linear autoregressive distributed lag model to test the relationships between REM and NR on EFP. Positive and negative shocks to REM and NR have varied consequences on EFP, which suggests an asymmetric relationship. The findings reveal that the impact of the positive shock on NR is positive and significant. It implies that an increase in the positive shock of NR causes a rise in EFP. However, the impact of the negative shock on NR is negative but statistically insignificant. Likewise, negative shock in REM decreases the EFP by increasing ecological quality, while positive shock in REM does not significantly impact EFP. Similarly, REN and URB improve the environmental quality in Bangladesh while EG decreases. To meet sustainable development goals, policies can be designed for proficient and ecologically friendly types of energy. [ABSTRACT FROM AUTHOR]

Economic development and environmental sustainability have recently become global priorities. This study utilizes the nonlinear autoregressive distribution lag model (NARDL) to investigate the asymmetric effects of natural resource rents on economic growth and environmental quality in China and the United States from 1970 to 2020. The findings indicate that natural resource rents exert asymmetric effects on economic growth and environmental quality in both countries; however, the impact patterns differ between the two countries. In the short term, a decrease in natural resource rents significantly increases GDP per capita in the US, while an increase in natural resource rents has no effect. Moreover, natural resource rents do not influence the ecological footprint in the US. By contrast, China's GDP per capita remains unaffected by natural resource rents, while the ecological footprint is significantly influenced by both positive and negative changes in natural resource rents, exhibiting asymmetric impacts. In the long run, an increase in natural resource rents significantly impacts both GDP per capita and the ecological footprint in the US, while a decrease only impacts the ecological footprint. By contrast, both increases and decreases in natural resource rents impact per capita GDP and the ecological footprint in China. These findings highlight the importance of tailoring country‐specific policies to facilitate sustainable economic development and enhance environmental quality. [ABSTRACT FROM AUTHOR]

Over the past few years, the Association of Southeast Asian Nations (ASEAN) has experienced great economic expansion, which has resulted in varied degrees of diversified commerce, an elevated level of government revenue, and an increase in the demand for energy. The purpose of this study is to provide a solution to this conundrum by analyzing the effects of trade diversification (TDF), government revenues (GRN), gross domestic product (GDP), and natural resource rent (NTR) on the sustainable development of the ASEAN countries between the years 1981 and 2022. In order to accurately portray the concept of environmental sustainability, the ecological footprint (EFP) is utilized to represent sustainable development. The quantile‐based econometrics technique known as the Method of the Moments Quantile Regression (MMQR) has been utilized in order to investigate the direction and amplitude of the asymmetric correlation that exists between the interaction of GRN, TDF, NTR, and EFP. According to the estimations of the MMQR, it is proposed that government revenues, which include significant financial incentives that promote the stringent execution of environmental rules, hence avoiding deleterious impacts on the environment, have negative coefficients at all quantiles (Q0.25 − Q0.90). Conversely, TDF and GDP have a positive and statistically strong significant correlation across all quantiles (Q0.25 − Q0.90), revealing that TDF reduces environmental sustainability and expands the size of the world's EFP by making energy‐intensive products more accessible. In addition, the Augmented Mean Group (AMG) and the Common Correlated Effect Mean Group (CCEMG) both provide evidence that supports the correlation study by demonstrating that there is a similar pattern of causality across variables. [ABSTRACT FROM AUTHOR]

Even though empirical evidence has shown that naturally endowed countries grow slower than their less naturally endowed counterparts, the scenario tagged as "resource curse hypothesis," but it seems there are exceptions. Therefore, this study examines the confirmation or disputation of resource curse hypothesis among the West African Institutes for Financial and Economic Management (WAIFEM) member countries during the period 1986-2016. The study applied seemingly unrelated regression (SUR) and unraveled the strengthened effect of natural resources on output growth in Gambia, Ghana, and Sierra Leone. But, the study revealed a negative and statistically significant effect on economic growth in Liberia and Nigeria, thereby upholding the presence of resource curse hypothesis only in Liberia and Nigeria. Therefore, an overall "umbrella" policy recommendation inappropriate, but individually designed strategy that would help in managing the resource rents effectively in order to boost economic growth particularly in Liberia and Nigeria where their resource endowment serves as a curse rather than a blessing is recommended. [ABSTRACT FROM AUTHOR]

In the modernized world, stimulating economic growth and employment without endangering environmental sustainability remains a fundamental challenge for developing and newly industrialized economies. This current study investigates the dynamic connections between income growth, unemployment, and environmental deterioration in Turkey within the environmental Phillips and Kuznets curve frameworks. The study employs a novel econometric technique, the augmented autoregressive distributed lag (A-ARDL) model, and examines annual time-series data from 1980 to 2018. To the best of the authors' knowledge, no study has tested the validity of the environmental Phillips curve (EPC) hypothesis (a novel approach linking unemployment with environmental pollution) for Turkey. Another concern with the existing research is that only a few papers simultaneously analyze the EPC and environmental Kuznets curve (EKC) hypotheses and consider the significance of the ecological footprint. Therefore, the study utilizes ecological footprint as an environmental degradation indicator and tests these two hypotheses by setting six models that control renewable energy consumption, natural resource rents, financial development, foreign direct investments, and urbanization to provide more reliable and consistent results. Empirical evidence from the multiple models justifies the validity of both hypotheses in the short and long run. The results also suggest that natural resource rents increase the ecological footprint, while urbanization contributes to environmental quality. Nonetheless, renewable energy, foreign direct investments, and financial development have no significant environmental impact. These outcomes suggest that a rise in employment not accompanied by green energy technologies, higher environmental awareness, a well-educated labor force, and expanded renewable energy utilization may impede the country from attaining its long-term development goals. [ABSTRACT FROM AUTHOR]

Sustainable development is based on three pillars: sustainable economic growth, social well-being and environment protection. Sustainable rural development is regarded as a multidimensional concept including an equitable and balanced development within a rural area, an increased level of social cohesion and equitability, as well as the assuming of responsibility for using natural resources and revealing at environmental protection. The studied region is located into the Strandzha Mtn - the only Bulgarian territory included in the five priority territories for conservation in Central and Eastern Europe. We have identified some core problems that should be addressed aiming to achieve the sustainable development of this area. Some of them are as follows: the absence of developing projects and focus on the development of individual villages, the lack of willingness of local people to cooperate, local resources are not effectively used and the local community is not adequately involved. [ABSTRACT FROM AUTHOR]

This paper measures the macroeconomic influence of recent political crisis, protest and uprisings in Africa with the generalized synthetic control method and evaluates the role played by natural resource dependence on the modulation of the nexus. We find that political crisis, protests and uprisings have a significant and negative nexus with economic growth while the nexus is positive with investment and price level. For economic growth, the deviation of the actual series from the counterfactual is negative, instantaneous, persistent and highly significant; indicating non-negligible costs of the shock. Indeed, dependence on natural resources amplifies the negative influence of political crisis, protests and uprisings on GDP. Finally, the more the treated country depends on natural resources, the more it becomes resilient to the investment losses caused by political crisis. [ABSTRACT FROM AUTHOR]

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]

Purpose: This study attempts to come in help for Morocco by investigating rigorously the linkage between environmental degradation, measured by ecological footprint (EF), and the gross domestic product growth (EG), the human capital (HC) index and the natural resources (NR) depletion over the period of 1980:Q1 to 2021:Q1. The paper examines the validity of environmental Kuznets curve (EKC) hypothesis in the Moroccan context. Design/methodology/approach: Unlike previous studies, which are based only on the autoregressif dynamic linear (ARDL) model, this paper investigates two recent models: the novel DYNARDL simulation approach and the Kernel-based regularized least squares (KRLS) technics and uses in addition the frequency domain causality (FDC) test. Findings: Models output say a significant and negative association between HC and the EF and a significant and positive interplay between economic growth and environmental quality in the long term. In the short term, findings reveal a significant and negative association between NR and the EF. Based on the FDC test, results conclude about a unidirectional causality from NR to the EF in short-, medium-, and long-term. Moreover, results validate the EKC hypothesis for the Moroccan environment sustainability. Originality/value: In this study, the researchers use the "ecological footprint" as dependent variable to obtain more accurate and comprehensive assessment of environmental deterioration. Based on time series data investigations, this study is the first paper, which validates the EKC hypothesis and develops important policy implications for Morocco context to achieve sustainable development targets. [ABSTRACT FROM AUTHOR]

This study examines the intricate relationship between natural resource abundance, with a specific focus on oil production, and its impact on economic growth in Ghana. Through the application of the robust Fully Modified OLS methodology and using data spanned from 1960–2021 the research underscores the essential inclusion of oil as a significant variable in comprehending economic growth dynamics. Contrary to traditional resource curse theories, the study unveils a positive nexus between oil production and economic growth, particularly within a comprehensive variable framework. This finding challenges simplistic resource curse notions and underscores the need for a holistic economic perspective. Overall, the results show that the impact of oil production on economic growth is sensitive to the inclusion or exclusion of other variables in the model. In Model 1, where all variables are included, oil production has a significant positive (0.0112**) impact on growth. Ghana's success in avoiding the resource curse is attributed to a multifaceted strategy encompassing diversified economic approaches, transparent governance, and responsible oil revenue management. Importantly, the inclusion of oil as a pivotal variable is well-justified by its tangible contributions to economic growth. The observed positive impacts emphasize the benefits of harnessing oil resources while maintaining a holistic view of the broader economic context. Looking ahead, the insights inform policymakers in resource-rich nations, illustrating how strategic resource management—illustrated by oil—can drive resilient and comprehensive economic growth. Ghana's experience serves as a compelling template for informed policy decisions, offering valuable lessons for achieving sustainable prosperity. [ABSTRACT FROM AUTHOR]

Financial development is a main goal for developing and developed countries. Therefore, this study aims to investigate the impact of technological innovation on financial development over the period 1990–2018 for 21 OECD countries. The study integrates economic growth, natural resources and financial globalisation into the financial development equation as other explanatory variables. To estimate the long‐run coefficients, the Driscoll‐Kraay standard errors, panel corrected standard errors and feasible generalised least squares estimators are applied. The Dumitrescu‐Hurlin bootstrap causality test is used to examine the causal linkages among the variables. It is found that there exists cointegration between the variables. It is also found that technological innovation, economic growth and financial globalisation positively affect financial development while natural resources decrease it in the long run. The findings reveal that technological innovation and financial development cause each other. The study will present some policy recommendations to accelerate financial sector development in OECD countries. [ABSTRACT FROM AUTHOR]

Over the past four decades, increasing forecast emphasis has come to be placed on the potential importance of different sectors and their contribution to the sustainable growth of the Nigerian economy. A more common strand of research is existing studies that consider the resource curse hypothesis to show empirically, the actual relationship between natural resources and economic growth. However, these studies have looked at various resource endowment especially oil and metals, with just a few focusing on the non-oil export sector. A preliminary graphical study of the contribution of the non-oil sector to Nigeria's GDP shows that over time, the linkage of non-oil export to the economic growth has been low (less than 20%). Hence, this study will analyze the long-run relationship and also the importance of both oil and non-oil exportation and their impact to sustainable economic growth. The model introduced in this article uses the time series data for non-oil export, oil export, alongside other macroeconomic variables on gross domestic product (GDP). In order to adequately investigate the long-run relationship, statistical forecast was adopted to project the data for future years and thereafter econometric method was adopted to validate the projected data and analyze the direction of causality between the sectors (oil and non-oil) export and economic growth. The result reveals the possible short and long run interaction amidst sectors' export and economic growth, based on the different tests conducted, in order to recommend policies aimed at boosting the level and significance of the sectors' export. [ABSTRACT FROM AUTHOR]

EU Green Deal and US Green New Deal strategies indicate that green growth is at the center of the policy agendas of many developed countries and regions. The green growth is a key element in achieving sustainable development. Green growth is an economic growth strategy that prioritizes human development while guaranteeing that natural resources continue to provide environmental services to the current and future generations to achieve their sustainable development. There are many definitions of green growth, and many indicators and measures have been developed to assess green growth results for countries. The paper aims to analyze green growth indicators and measures and develop a case for a comparative assessment of green growth achievements in the Baltic States. The Baltic States were ranked based on their achievements according to specific dimensions of green growth, and policy recommendations to promote green growth were developed based on conducted research. [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]

India, with its rapidly growing economy, has an increasing demand for energy consumption. This study thus adds to the energy-economic growth literature by exploring the effect of renewable (hydro and nuclear) and non-renewable (coal and oil) energy consumption by different sources on the economic growth of India, spanning from 1985 to 2021. The ARDL estimator is used to assess the short- and long-run growth effectiveness of the explanatory variables, while the variance decomposition analysis (VDA) is employed to examine the degree to which one variable can explain the change in variance of another variable. Among the renewable energy sources, hydro-energy consumption is found to be impeding economic growth, while nuclear energy is found to be inducing India's economic growth in the long run. Furthermore, among the non-renewable energy sources, oil consumption is found to be impeding the economic growth, while coal consumption is observed to be augmenting India's economic growth in the long run significantly. The findings reveal that non-renewable energy use plays a crucial role in the economic growth of India; thus, from a policy standpoint, this study recommends the government to invest more in the advancement of the renewable energy sector in order to balance the energy mix and achieve sustainable economic growth. [ABSTRACT FROM AUTHOR]

This paper examines the relationship among ecological footprint (EF), electricity consumption, and GDP in China using annual data ranging from 1960 to 2019. However, factors like trade openness, urbanization, and life expectancy might increase EF as ecological distortions are mainly human-induced. This study explores the effect of these variables on the environment, which is captured by EF. Quantile Regression estimates indicate that electricity consumption and real GDP increase environmental degradation, while trade and urbanization reduce EF, allowing for a higher environmental quality. On the other hand, the spectral Granger-causality tests reveal that only urbanization and life expectancy affect environmental degradation over the whole frequency domain. In the current geopolitical scenario, relevant policy implications may be derived. [ABSTRACT FROM AUTHOR]

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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]