Search Results (101)

In sustainable development studies, a key question is how the abundance of natural resources influences long-run economic growth. However, there is no consensus on this issue. Some literature suggests a negative impact, while other studies find no effect at all, and other research indicates a positive impact. This study aims to examine the relationship between natural resource rents, renewable energy, and economic growth in the Gulf Cooperation Council (GCC) countries over the period from 1990 to 2023. The study utilizes the Method of Moments Quantile Regression (MMQR) to provide reliable findings across different quantiles. We also incorporate a series of control variables, including capital, labor force participation, non-renewable energy, and trade openness. The findings indicate that natural resources rent enhances economic growth in GCC countries, supporting the Rostow hypothesis. Although renewable energy has a positive impact on economic growth, it does not have an effect on natural resource rents. Additionally, capital, labor force participation, non-renewable energy, and trade openness play a critical role in raising economic growth in these countries. Based on the empirical results, this study provides several valuable recommendations for policymakers to enhance the management of natural resources in GCC countries. Full article

This article aims to assess the conditions and prospects for biomass utilization in the Visegrad Group (V4) countries. Additionally, the relationship between biomass energy production and greenhouse gas emissions was examined. A key component of the analysis involved identifying potential directions for the development of biomass utilization in the pursuit of the sustainable development of agricultural enterprises. In relation to these research objectives, a hypothesis was formulated regarding the causal relationship between biomass energy consumption and economic growth, the abundance of natural resources, and income in reference to the European Union economies. Both static and dynamic panel studies were applied. The conducted research revealed the complex nature of the conditions influencing biomass utilization. The study period covered the years 2004–2022. A negative correlation was found between the use of biomass and greenhouse gas emissions. At the same time, factors favoring biomass utilization included economic growth, the level of natural resource consumption per capita, and government policies aimed at increasing the share of renewable resources in the economy. Full article

In this study, the relationship between economic growth and carbon emissions for the period 1968–2022 in Turkey was evaluated within the framework of the EKC (Environmental Kuznets Curve) hypothesis. In addition, the impacts of renewable energy consumption and agricultural value added on carbon emissions were analyzed using the ARDL bounds testing approach. The validity of the results was also tested using the FMOLS and DOLS methods. The findings confirmed the existence of a cointegration relationship between carbon emissions and per capita income, renewable energy consumption, and agricultural value added. Long-term analyses indicate that renewable energy consumption reduces carbon emissions, whereas growth in agricultural value added leads to an increase in emissions. In addition, it has been determined that the EKC hypothesis is valid in both the long and short terms and that increases in per capita income raise emissions up to a certain threshold and have a mitigating effect when this threshold is exceeded. The results of the short-term analysis showed that the effects of renewable energy consumption vary across periods, and that agricultural value added increases emissions in the short term. This study provides empirical evidence for Turkey by incorporating sectoral variables within the EKC framework and offers meaningful insights for policymakers regarding the environmental impacts of agricultural value added and renewable energy use in the context of a developing country. Accordingly, fiscal policy instruments such as green taxation, carbon credit trading mechanisms, and financial and agricultural subsidies should be more effectively utilized in Turkey to support structural transformation in agriculture and promote the use of clean energy, in line with the findings that suggest the need for targeted agricultural and energy policies aligned with Turkey’s SDG commitments. Full article

This study examines the symmetric and asymmetric impacts of international trade on consumption-based carbon emissions (CBEs) in the People’s Republic of China (PRC) and the United States of America (USA) from 1990 to 2018. The analysis uses autoregressive distributed lag (ARDL) and non-linear ARDL (NARDL) methodologies to capture short- and long-run trade emissions dynamics, with economic growth, oil prices, financial development and industry value addition as control variables. The findings reveal that exports reduce CBEs, while imports increase them, across both economies in the long and short run. The asymmetric analysis highlights that a fall in exports increases CBEs in the USA but reduces them in the PRC due to differences in supply chain flexibility. The PRC demonstrates larger coefficients for trade variables, reflecting its reliance on energy-intensive imports and rapid trade growth. The error correction term shows that the PRC takes 2.64 times longer than the USA to return to equilibrium after short-run shocks, reflecting systemic rigidity. These findings challenge the Environmental Kuznets Curve (EKC) hypothesis, showing that economic growth intensifies CBEs. Robustness checks confirm the results, highlighting the need for tailored policies, including carbon border adjustments, renewable energy integration and CBE-based accounting frameworks. Full article

The readiness of businesses to address global climate change is pivotal for achieving sustainable development. However, the dynamics of business development remain underexplored, thereby limiting the depth and scope of research in this area. To this aim, the study examines the relationship between CO₂ emissions and new business density (NBD) in the top 14 countries with the highest NBD (Hong Kong, Cyprus, New Zealand, Estonia, Malta, United Kingdom, Australia, Botswana, Iceland, Latvia, Mauritius, Norway, Sweden, and Georgia) from 2006 to 2020, within the framework of Schumpeter’s theory and the environmental Kuznets curve (EKC) hypothesis, incorporating control variables such as renewable energy consumption (REC) and population size. To estimate the relationships between variables, we employ the novel Method of Moments Quantile Regression (MMQR) approach. The findings suggest that higher NBD is associated with increased CO₂ emissions. The results support the EKC hypothesis, positing an inverted U-shaped relationship between economic growth and environmental degradation, and highlight the mitigating effects of REC and population growth on CO₂ emissions. These findings emphasize the need for countries to align labor legislation with sustainable development objectives and to promote strategies grounded in environmental principles, green economic practices, and eco-friendly technologies. Full article

This study investigates the environmental effects of agricultural trade, renewable energy use, and economic growth in a panel of 14 selected countries for the period 2000–2021. Per capita CO₂ emissions are modeled as the dependent variable using a second-generation panel data method, the Augmented Mean Group (AMG) estimator, which accounts for cross-sectional dependence and slope heterogeneity. The analysis reveals that the share of renewable energy in total energy consumption significantly reduces carbon emissions, emphasizing the role of green energy policies in environmental improvement. In contrast, economic growth is found to increase emissions, indicating the validity of only the initial phase of the Environmental Kuznets Curve (EKC) hypothesis. Additionally, agricultural imports—and in certain cases, exports—exert upward pressure on emissions, likely due to logistics and production-related externalities embedded in the trade process. Group-specific results highlight distinct dynamics across countries: while renewable energy adoption plays a stronger role in emission mitigation in developing economies, trade composition and production technology drive environmental outcomes in developed ones. The findings underscore the need to redesign trade and energy strategies with explicit consideration of environmental externalities to align with long-term sustainability objectives. Full article

The buffalo species (Bubalus bubalis) is crucial for the global economy, supplying high-nutritional-value animal proteins vital for children’s growth. These animals efficiently convert fiber into energy and thrive in various harsh environments, from frigid climates to hot, humid areas, including wetlands. They produce milk and meat while supporting the sustainability of ecosystems that other ruminants cannot inhabit. Buffalo offers a unique opportunity to supply resources for both rural communities and larger farms located in specific regions, such as marshlands and humid savannahs. They also thrive on extensive pastures and family farms, thus preserving biodiversity, habitats, and cultural practices. Intensive farming brings distinct challenges and is often criticized for its negative effects on climate change. To counter these impacts, multiple strategies have been researched and implemented. These include enhancing livestock genetics, adopting sustainable agricultural practices, optimizing local feed resources (including by-products), managing manure (with an emphasis on renewable energy), and improving animal health and welfare. This review explores various buffalo farming system applications in different global contexts. It is based on the hypothesis that the adaptable traits of buffalo, as well as the environmental and economic challenges that must be addressed for sustainability, are the key factors in determining the viability of such enterprises. Full article

The global economy faces a critical challenge: balancing economic survival through natural resource utilization with the imperative of long-term environmental sustainability. Green innovation presents a viable solution, yet its effectiveness hinges on establishing well-structured legislative frameworks. This study, covering the period 1996 to 2022, examines the moderating effect of green innovation on the relationship between natural resource rents and ecological footprint while also considering the roles of globalization, financial development, and energy transition in the ten most resource-abundant countries. Utilizing the augmented mean group (AMG) estimator, the findings indicate that natural resource rents significantly contribute to ecological footprint, reinforcing concerns about resource-driven environmental degradation. However, green innovation mitigates these adverse effects, promoting sustainable resource management in alignment with SDG 12 (Responsible Consumption and Production). Additionally, renewable energy and globalization positively influence environmental conditions, reinforcing the drive toward clean and affordable energy (SDG7), while economic growth, financial development, and non-renewable energy exacerbate environmental harm. Furthermore, foreign direct investment (FDI) increases ecological footprint, reinforcing the Pollution Haven Hypothesis for resource-rich economies. Rigorous robustness checks using CCEMG, FMOLS, and DOLS methodologies, along with country-specific analyses, affirm the empirical validity of these results. In light of these conclusions, the paper advocates for legislative reforms to enhance sustainability and optimize resource utilization, ensuring a balanced approach to economic development and environmental preservation. Full article

Energy efficiency potentially reduces global carbon emissions, whereas the need of emerging countries to maintain economic growth and development entails a sharp increase in energy consumption. However, to meet this, current energy systems need to be transformed. Several studies find different conclusions on the short-run and long-run relationship and the direction of causality, and none of the studies have considered energy efficiency in their model. This study investigates the direction of causality between energy efficiency, energy consumption, and economic growth in South Africa. To determine if a long-run relationship between the variables exists, the Johanson cointegration test is used, and the results indicate that there is a long-run relationship between economic growth, energy depletion, energy efficiency, non-renewable energy consumption, renewable energy consumption, and energy security, with trace statistics suggesting that the null hypothesis of no cointegration should be rejected at a 5% level of significance. The Toda and Yamamoto procedure of the Granger causality approach was then applied. This study finds a unidirectional causality between energy efficiency, non-renewable energy consumption, and economic growth and no causality between renewable energy consumption, energy depletion, energy security, and economic growth. The growth hypothesis is supported, while the neutrality hypothesis is only confirmed regarding renewable energy consumption and economic growth. The results further suggest that a unidirectional Granger causality exists between non-renewable consumption and energy efficiency, and economic growth in South Africa. In South Africa, energy efficiency is a significant tool to enhance sustainable growth and attain climate objectives. Also, energy efficiency helps to lower the costs of mitigating carbon emissions and further advance both social and economic development. Full article

This study explores the dynamic relationship between economic growth, technological innovation, and $C{O}_2$ emissions in BRICS nations, integrating the Environmental Kuznets Curve (EKC) and Innovation Claudia Curve (ICC) frameworks. Using a panel ARDL approach on data from 1991 to 2023, we investigate the long-run and short-run interactions between GDP, renewable energy consumption (RENC), foreign direct investment (FDI), urbanization (URB), and patent applications (PAs) in shaping environmental outcomes. The findings confirm the EKC hypothesis, revealing an N-shaped relationship between GDP and emissions, indicating that while economic growth initially leads to higher $C{O}_2$ emissions, this trend reverses at a critical threshold before a secondary increase occurs at higher income levels. The ICC framework identifies a cubic relationship between innovation and emissions, where technological advancements initially drive higher emissions before contributing to sustainability at later stages, though an excessive scale of innovation may reintroduce environmental pressures. RENC is found to significantly mitigate emissions, while URB and FDI display dual and context-dependent effects, highlighting the multidimensionality of sustainable transitions in emerging economies. These results underscore the importance of targeted policy interventions, such as scaling renewable energy infrastructure, promoting green innovation, guiding urban expansion, and aligning FDI with environmental objectives. Full article

Reducing global greenhouse gas emissions and implementing sustainable environmental policies require the identification of the economic, political, ecological, and social factors that affect emission levels. To this end, this study examines, for the first time, the impact of wealth inequality, economic growth, and renewable energy consumption on CO₂ emissions in 17 countries with the highest wealth inequality over the 1995–2021 period. This study employs a novel and robust approach, the method of moments quantile regression, to analyze the relationships among these variables. Findings support the environmental Kuznets curve hypothesis by displaying that economic growth initially increases CO₂ emissions but has a dampening effect after a turning point. Moreover, renewable energy consumption reduces CO₂ emissions, where certain as increasing wealth inequality contributes to higher CO₂ emissions. These results underscore the need for policymakers to adopt more egalitarian socioeconomic models, accelerate the transition to clean energy, and maintain robust environmental policies to achieve sustainable development goals. Full article

The adoption of renewable energy sources offers significant economic and sustainability benefits. These sources—solar, wind, hydro, biomass, and geothermal—are crucial for transitioning to a sustainable, low-pollution energy model. Key benefits of renewable energy include job creation, reduced energy costs, decreased reliance on imported resources, minimized environmental impact, and long-term economic stability. Renewable energy also plays a vital role in achieving environmental and sustainability goals. By reducing dependence on imported energy resources, it enhances energy security. Countries investing in renewables lower their reliance on international supply chains and geopolitical risks, which is particularly relevant for European Union nations historically dependent on energy imports. Domestic renewable energy resources help stabilize prices and ensure a consistent long-term energy supply. This study aimed to assess the impact of renewable energy sources on the economy and sustainable development in the European Union. Data for all variables were collected from the Eurostat database. The unbalanced panel data sample consisted of 27 EU countries (N = 27), covering the period 2001–2022 (T = 22). The analysis and generalization of the scientific literature compared theoretical and practical statements, econometric models, and the least squares method. Here, the hypothesis that “the transition to renewable energy sources will have a smaller negative impact on economic growth when the country is more dependent on imported energy sources” was accepted, and this means that using renewable energy sources not only contributes to environmental goals and climate change mitigation but also provides various economic benefits, including job creation, lower energy prices, greater energy security, and long-term sustainability. It is essential in the transition to a cleaner and more sustainable economy. Full article

The fight against climate change is gaining momentum, with a growing focus on reducing carbon dioxide (CO₂) emissions and mitigating environmental impacts. Africa, the continent most vulnerable to global warming, faces unique challenges in this context. This study examines the long-term association among CO₂ emissions, economic growth, and different socio-economic factors in 36 African countries from 1990 to 2020. Employing the Pooled Mean Group (PMG) estimator with Autoregressive Distributed Lag (ARDL) model, along with U-test and Dumitrescu and Hurlin causality analyses, our study reveals substantial long-term connections amongst CO₂ emissions and factors such as economic growth, trade openness, renewable energy consumption, urbanization, and population dynamics. The findings support the Environmental Kuznets Curve (EKC) hypothesis, indicating that CO₂ emissions initially increase with GDP per capita growth but begin to decline after a turning point at approximately 10,614.75 USD. However, the evidence for this turning point remains weak, suggesting that most African countries have not yet achieved decoupling. Renewable energy consumption and urbanization are negatively associated with CO₂ emissions, while trade openness and GDP per capita show positive correlations. Causality analysis reveals bidirectional relationships among most variables, except for population growth and CO₂ emissions, which may involve other moderating factors. The findings highlight the urgent need for integrated policies that advance sustainable development by focusing on renewable energy adoption, sustainable urbanization, and green growth strategies. Policymakers should prioritize initiatives that harmonize economic growth with environmental sustainability, ensuring a lasting balance between development and ecological preservation across Africa. Full article

This study aimed to determine the impact of economic policy uncertainty and geopolitical risk on environmental quality in 17 selected countries. In addition, it also aimed to test the environmental Kuznets curve hypothesis (EKC) within the scope of the determined variables and model. In this context, analyses were carried out with annual data for the period 1997–2022, based on the country group for which the economic policy uncertainty index was calculated, subject to data limitations. In this study, a Quantile Regression of Panel Data (QRPD) analysis, OLS (Ordinary Least Squares), and a panel causality test were used. As a result of the estimation with the Quantile Regression of Panel Data (QRPD), it was found that the increase in economic policy uncertainty had a positive effect on environmental quality in most of the quantiles, while geopolitical risk had significant and negative effects on environmental quality in the medium and high quantiles. The validity of the EKC hypothesis was also proved in the analysis. According to the results of the panel causality test, there was a bidirectional causality relationship between environmental quality and all the independent variables, except the square of economic growth. In order to make a comparison with the new-generation estimation method, QRPD, it was observed that the estimation results with the classical regression method, OLS, were similar. In light of these findings, it is recommended that policy makers pursue strategies that balance economic growth and environmental quality, reduce the environmental impacts of geopolitical risks, and favor a renewable energy transition. Moreover, long-term and stable environmental policies have a crucial role in the success of these strategies. Full article

Environmental degradation is a pressing issue, particularly in resource-dependent regions like the Gulf Cooperation Council (GCC) countries. While significant research has explored the environmental impacts of economic growth and resource use globally, limited attention has been given to the unique dynamics in the GCC, including the role of ICT development, trade openness, and FDI inflows. This research examines how information and communication technology (ICT) development, economic growth, trade openness, foreign direct investment (FDI) inflows, and electricity consumption influenced environmental degradation in GCC countries from 1990 to 2022. Using panel data analysis, the study finds that ICT expansion and increased electricity consumption significantly contribute to higher CO₂ emissions, exacerbating environmental degradation. Economic growth follows the Environmental Kuznets Curve (EKC) pattern, where environmental harm initially increases with growth but can decline as economies diversify and adopt cleaner technologies. Trade openness and FDI inflows, particularly in resource-intensive industries, also contribute to environmental degradation, supporting the pollution haven hypothesis. However, these factors present opportunities for sustainable development if paired with stricter environmental regulations and cleaner technology adoption. The study highlights the need for GCC policymakers to prioritize renewable energy investments, enforce stronger environmental policies, and promote energy efficiency to balance economic growth with environmental sustainability. Recommendations for future research include exploring other environmental factors and assessing the role of technological innovations in reducing emissions. Full article