AbstractAgainst the background of unbalanced global energy distribution and increased exogenous shocks to energy trade, major countries bear special responsibilities for energy security and the achievement of greenhouse gas emission reduction under the Paris Agreement. Stabilizing energy supply chains and deploying renewable energy on a large scale are seen as fundamental ways to address both issues. To this end, this paper uses a sample of G20 countries covering the period 1980–2020 to estimate the links between energy import dependence, renewable energy deployment, and carbon emissions per capita. The results indicate that the energy import dependence of G20 countries can act as a combined brake on carbon emissions in large developed countries and emerging market countries, suggesting that global energy trade also has an additional role in reducing carbon emissions. Oil import dependence as one of the robustness check strategies further confirms these findings. The impact mechanism estimates imply that the channel for reducing carbon emissions of energy import dependence was to prompt countries to accelerate renewable energy deployment. Within the established framework of energy demand and economic growth, the universal deployment of renewable energy is a fundamental way to achieve environmental friendliness. These findings provide insights into multinational coordinated policies that ensure open and cooperative international energy markets and a transnational energy trading system that puts humanity on a path to global carbon neutrality.

AbstractGreen technology innovation (GTI) plays a pivotal role in improving environmental sustainability. Our study fills a significant research gap by investigating how globalization and natural resource depletion (NRD) impact eco‐innovation. Rooted in knowledge spillover and ecological modernization theories, we utilize advanced panel data techniques, an aspect underexplored in empirical studies. Our panel data span G20 countries from 1986 to 2019, further dissected into sub‐panels—BRICS (emerging economies) and G7 (advanced economies). Initial tests reveal cross‐sectional dependencies and slope heterogeneities across all panels, corroborated by Westerlund cointegration test indicating a long‐term equilibrium. Driscoll–Kraay estimator highlights that economic and social globalization significantly drive eco‐innovation, while political globalization deteriorates GTI. The effect of NRD is also negative for G20 and BRICS countries, while G7 economies exhibit lower vulnerability to NRD shocks. Long‐run estimates from CS‐ARDL underscore the positive role of economic globalization in both the short and long run, while the negative role of NRD remains persistent in the long run. Panel quantile regression results prove that the effect of globalization is asymmetric across GTI distribution and varying across underlying groups. NRD, while hindering progress at higher quantiles, supports eco‐innovation at lower quantiles of advanced economies. Panel threshold estimations confirm the positive influence of both globalization and NRD, particularly for highly eco‐innovative nations. These findings bear significant policy implications, charting a path toward sustainable economic growth through the widespread adoption of green technology.

AbstractWe examine the factors that influence climate change disclosure and its effects on firm value in the context of Sri Lanka. By leveraging data spanning 1031 firm‐year observations from 2017 to 2022, an innovative machine‐learning technique is employed to quantify the level of climate change disclosure within annual corporate reports. Our findings indicate that factors such as firm size, size of the board of directors, the presence of independent and non‐executive directors on the board, and gender diversity of the board positively impact the extent of climate change disclosure. Notably, CEO duality, where the CEO and chairman roles are held by the same individual, demonstrates a negative relationship with climate change disclosure, suggesting that distinct roles can enhance transparency. This underscores the significant role of robust corporate governance practices in promoting environmental transparency and accountability. Additionally, the paper further assesses the implications of climate change disclosure on firm value, revealing that enhanced transparency in climate change disclosure positively impacts firm value.

AbstractInformation and communication technology (ICT), technological innovation, and renewable energy (REN) consumption have been proffered as solutions to the recent environmental tragedies in developed countries. In recent times, ICT diffusion and technological innovation have improved in G7 countries, but the same cannot be said of REN consumption. As such, this study examines the link between ICT, economic complexity, technological innovation, REN, and ecological footprint (EF) for G7 countries over the period 1990–2020. We use three variables (fixed telephone subscriptions [FTS], mobile cellular subscriptions [MCS], and individuals using the internet [IUI]) to represent ICT. The presence of cross‐sectional dependence guides the use of second‐generation econometric methods for slope heterogeneity, unit root, cointegration, and parameter estimation. The augment mean group (AMG) estimator and panel OLS techniques are applied to complement the method of moment quantile regression (MM‐QR) approach. The MM‐QR results suggest that REN consumption and technological innovation impede the EF across all quantile levels (0.1–0.9), whereas economic growth and economic complexity augment the EF in G7 countries. The ICT variables have heterogeneous effects on the EF, suggesting that the impact of ICT on the EF depends on the estimation techniques and proxy for the variable. In line with these outcomes, public policies directed toward funding technological innovation projects are recommended. The funding should specifically focus on environmentally friendly technologies that can guarantee complementarity between reduced environmental damage and increased economic growth.

AbstractRural waste management is a highly complex issue requiring multi‐stakeholders' cooperation. The promotion of cooperative action through social mobilization is essential. Based on evolutionary game theory, this study constructs a dynamic model consisting of government, social funds, and rural residents to study the effectiveness of public–private partnership (PPP) projects in rural waste management in China. The results show that excessively high or low subsidies from the government to social funds are detrimental to the sustainability of rural waste management. The optimal subsidy rate ranges from 600,000 RMB to PPP 750,000 RMB. It may strike a balance between avoiding excessive financial burden on the government and encouraging a 5% increase in social funds' investment. Waste management fees are suitable for promoting the quality of rural waste management services, with the maximum ideal fee being 24 RMB. The simulation results also demonstrate that the policy combination of high incentives and high penalties and low supervision and high penalties is conducive to tripartite cooperation in PPP projects. In addition, the government should impose fines of more than 750,000 RMB on social funds to prevent potentially ineffective management services offered by the social funds.

AbstractIn recent decades, the detrimental impacts of climate change have been increasingly felt worldwide. This is due to the extreme consumption of natural resources to fuel economic activity. Confronting a widening ecological deficit, humanity must urgently accelerate its journey toward sustainable development goals (SDGs). This demands active efforts to curb environmental pollution and protect natural resources, safeguarding the planet for future generations. Since Brazil has high biocapacity and ecological areas, the impact of energy resources on ecological sustainability policies cannot be excluded. Moreover, Brazil holds a vital position in the world for global foreign direct investment flows. In this regard, this paper considers the asymmetric impact of mineral rents and foreign direct investments when investigating Brazil's environmental sustainability. In addition, it evaluates elements like economic growth and low‐carbon energy consumption from 1970 to 2021. To this end, the research applies the Fourier nonlinear autoregressive distributed lag model and draws three significant conclusions. First, resource extraction undermines environmental sustainability. Second, the inflow of foreign direct investment reduces the load capacity factor, implying that the pollution haven hypothesis holds for Brazil. Third, low‐carbon energy consumption contributes to environmental sustainability. Our findings highlight the critical role of regulating mineral resource rents in achieving SDGs in Brazil. Moreover, increasing investment in clean energy sources and transitioning toward low‐carbon energy can promote sustainable development in Brazil. The Brazilian government should abandon mineral extraction, focus on low‐carbon energy consumption, and prevent companies from destroying nature by introducing strict environmental regulations for foreign investment flows.

AbstractThis study aims to design and build a pilot home according to the United Nations sustainable development goals (UN SDGs). The research methodology is a nature‐oriented housing policy to promote renewable energy consumption in homes for cleaner environments. This study analyzes the structural elements of traditional homes in the eastern south of Iran. This study examines the UN SDGs in planning and designing the model to find the advantages of nature‐oriented constructions compared to the current harmful development projects damaging nature, environments, ecosystems, and the earth. The building model presented in this paper is in harmony with the UN SDGs. The model provides an architectural and planning procedure to prevent the earth from damaging fossil consumption‐built environments in the world. Calculations show that the housing pilot model saves USD 3600 in energy consumption per household on average. The outcomes of this study prove the hypothesis that the use of renewable energy in homes is beneficial economically and environmentally. This study implicates housing policies in shifting planning and design methods toward UN SDGs. Policies are applicable globally in the housing programs.

AbstractNatural resources are vital in alleviating the effects imposed by human activities on the environment. For this reason, the preservation and wise utilization of natural resources has been emphasized and some laws toward ensuring that natural resources are not wasted have been put in place. However, high rents on natural resources are not sustaining. By following the STIRPAT model, this research seeks to assess the role played by natural resources rent, the rule of law, and renewable energy in alleviating the damage caused to the environment by human activities. The present research furthers the growing body of literature on the topic, which constitutes its primary contribution. To attain this goal, the dataset of the top 10 natural resource‐rich African countries, for the time range 1990 to 2021 is used. The dynamic Cross‐sectional Autoregressive Distributive Lag (CS‐ARDL) which overcomes heterogeneity, cross‐sectional dependence (CD), and dynamics is used in the analysis of the research model. The Augmented Mean Group (AMG) and the dynamic Common Correlated Estimator Mean Group (CCEMG) methods are employed to check the robustness of CS‐ARDL results. The findings illustrate that economic growth, natural resources rent, and energy intensity promote environmental damage, while renewable energy (RE) and the rule of law lessen it. This research advocates for the reduction and stabilization of natural resources rent, extensive use of RE, and improvements in the rule of law to alleviate environmental damage.

AbstractAchieving economic progress hinges upon the active and strategic utilization of a nation's inherent resources in economic and financial endeavors. This comprehensive study investigates the intricate dynamics influencing the economic development of the United States, employing a time series dataset spanning from 1991 to 2022. Key factors including total natural resource rents, domestic capital formation, the ‘financial risk index (FRI),’ and the count of patents filed by both domestic and foreign investors. Rigorous statistical analyses, including the ‘Modified Dickey‐Fuller’ test and ‘Bayer‐Hanck cointegration’ strategy, were employed to extract meaningful insights from the data. Addressing concerns related to endogeneity and serial correlation, advanced techniques such as ‘Dynamic Ordinary Least Squares’ and ‘Fully Modified Ordinary Least Squares’ were applied. The findings illuminate the pivotal roles played by natural resource rents and domestic capital formation in propelling sustainable economic development in the United States. Notably, this study sheds light on the positive contributions of both domestic and foreign patent filings to the nation's economic trajectory. Furthermore, enhancements in the FRI are identified as catalysts for fostering sustainable economic growth. In essence, our research contributes to the existing body of knowledge by offering nuanced insights into the multifaceted influences shaping the economic landscape of the United States. The results not only underscore the significance of effective resource management and capital formation but also emphasize the positive impact of innovation, represented by patent filings, and improvements in the FRI on the nation's journey towards sustainable economic growth.

AbstractThis study examines the intensifying threat to public health caused by increased CO2 emissions from energy and modern urbanization. In this connection, we focused on SAARC countries from 1990 to 2022. The study explores the dynamic association among urbanization, CO2 emissions, renewable energy, and key health indicators, namely life expectancy and infant mortality. It offers nuanced insights by highlighting the requirement for sustainable policies to meet health challenges associated with CO2 emissions and urban development in SAARC economies. To achieve the study objectives, the authors utilized panel auto regressive distributed lag for assessing short‐term and long‐run effects, and the method of moments quantile regressions to check these effects across different quantiles. The empirical results underscore the positive impact of renewable energy, urbanization, GDP, and industrialization on life expectancy. Conversely, CO2 emissions exhibit a detrimental impact on life expectancy, leading towards numerous diseases in both the short and long term. Notably, in the case of infant mortality, the study discloses that renewable energy, urbanization, GDP, and industrialization negatively affect infant mortality, while CO2 emissions positively impact infant mortality in both short and long‐run scenarios. Fully modified ordinary least squares and dynamic ordinary least squares further fortified our findings, supporting the results derived from panel auto regressive distributed lag and method of moments quantile regressions. The study's policy implications highlight the imperative for governments and policymakers to prioritize renewable energy and sustainable urbanization, mitigating the adverse health effects of CO2 emissions from non‐renewable energy sources. The study's findings further endorse a strategic shift towards renewable energy sources, positioning them as substitutes for conventional forms such as fossil fuels. Additionally, the emphasis is on planned and sustainable urbanization, facilitating improved access to health facilities and overall public health.