The existence of environmental Kuznets curve: Critical look and future implications for environmental management

Burdens of Tracheal, Bronchus, and Lung Cancer From 1990 to 2021 in China Compared to the Global Projection of 2036: Findings From the 2021 Global Burden of Disease Study

BACKGROUND

Tracheal, bronchial, and lung cancers (TBL cancers) pose a significant global health challenge, with rising incidence and mortality rates, particularly in China. Studies from the Global Burden of Disease (GBD), 2021, can guide screening and prevention strategies for TBL cancer. This study aims to provide a comprehensive analysis of the burden of TBL cancers in China compared to global data.

METHODS

We conducted an analysis of incidence, prevalence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021. We also performed Joinpoint regression analysis and Bayesian age-period-cohort (BAPC) modeling to project future trends.

RESULTS

From 1990 to 2021, there was a substantial increase in TBL cancer indicators for all sexes in China, with the most significant rise observed in females. The female population showed alarming increases in age-standardized incidence rate (ASIR) and age-standardized prevalence rate (ASPR). While global efforts have managed to stabilize these rates, China's figures remain high, suggesting the impact of persistent risk factors such as smoking and air pollution, coupled with an aging population. Furthermore, we utilized the projection model in China to estimate that these indicators of TBL cancers in females will likely follow continuous and rapid upward trends, while the burden of TBL cancers among males is expected to have a steady trend.

CONCLUSION

Although global efforts have been effective in reducing the burden of TBL cancers over the past three decades, there still remains strong regional and gender heterogeneity. TBL cancers need more screening strategies and medical attention in China and in the female population.

Systems Modeling of the Water-Energy-Food-Ecosystems Nexus: Insights from a Region Facing Structural Water Scarcity in Southern Spain

The complex relationship between water, energy, food, and ecological systems, known as the WEFE nexus, has emerged as a major topic in the debate about sustainable economic development and resource management. This subject is of special interest in Mediterranean coastal areas as rapid economic expansion driven by population growth, higher influx of tourists, and intensification of agriculture is leading to structural water scarcity conditions. However, addressing the diverse range of issues associated with the nexus is a difficult task due to the existence of intricate interconnections, interdependencies, and nonlinearities within and across its various components. Accordingly, this case study applies a combination of participatory systems modeling and network analysis tools to yield insights into the complexity of this nexus in Axarquia, a region with features that make it an example of water-stressed jurisdictions in the Mediterranean. Overall, our results provide a strong foundation to understand the dynamics that govern this nexus in regions where the availability of freshwater resources is a significant concern. Furthermore, they lay the groundwork for the development of models and scenarios to simulate the impact of various policies and interventions on the overall system.

An enhanced dynamic-network-based framework for quantifying and enhancing the resilience of disaster response networks to old communities under rainstorm waterlogging

Developing effective disaster response networks (DRNs) is crucial for mitigating the impacts of rainstorm waterlogging in old communities. Aiming at providing implementable strategies for enhancing DRN resilience, this paper developed an enhanced dynamic network analysis (DNA)-based framework for DRNs utilizing the DNA and CRITIC-VIKOR method. This framework conceptualizes community disaster response as a three-stage 'agent-information-resource-task' (A-I-R-T) dynamic network, facilitating a comprehensive understanding of interactions among stakeholders, disaster information, emergency resources, and response tasks. Subsequently, a hybrid evaluation model combining CRITIC and VIKOR methods was established to quantify DRN resilience by assessing deviations from ideal response scenarios. Validated through a case study of the Y community in Xuzhou city of China, the findings reveal significant variations in stakeholder communication effectiveness across different stages of disaster response, with resilience peaking during the function recovery stage at 0.292. This study not only contributes to the body of knowledge in disaster management and resilience theory but also provides actionable strategies for enhancing DRN resilience, thereby contributing to more resilient urban environments.

A recursive dynamic CGE approach to investigate environmental Kuznets curve

The inverted U-shaped relationship between economic growth and environmental degradation is known as environmental Kuznets curve (EKC) and has been tested in many empirical studies since more than 3 decades. Technological change is one of the tools that can be used to examine the existence of EKC in CGE models. The objective is to extract EKC for G7 countries using a multi-regional CGE model and investigate the effects of some key factors affecting EKC using historical data for the period of 1861-2021. First, we have considered the effects of energy efficiency, on CO2 emissions, on carbon intensity and on economic growth. Then, EKC was extracted based on the obtained results. In addition, the effects of factors such as carbon tax, revenue recycling schemes and various types of substitution elasticities are evaluated on EKC. Our results show that, with a 3% improvement in productivity, by 2050, GDP will increase by nearly 12% and carbon emissions will decrease by 4.4%. The combination of such two effects has led to an inverted U-shaped relationship between economic growth and carbon emissions. Among the elasticity of substitutions, the elasticity of substitution of capital and energy, as well as the substitution elasticity of energy inputs has the greatest effect on EKC. The slope of EKC becomes negative if a carbon tax is imposed. The EKC moves downwards if carbon tax income is transferred to the production tax-cut in renewable sectors. The results suggest that carbon tax and its allocation to renewable sectors will improve environmental effects.

Is the load capacity curve a true phenomenon for OECD economies? Hidden behavior of financial institutions and markets in Environmental Sustainability

Over the last few decades, the globe has faced severe challenges in isolating entire nations from social, economic, and environmental issues. However, rising pollution levels have become the most debatable agenda. To resolve this, the world has introduced a few green initiatives, i.e., the Paris Agreement, the Kyoto Protocol and the Sustainable Development Goals (SDGs). Interestingly, to meet the desired threshold level, all stockholders demand massive finance to comply with such green initiatives. Thus, to highlight the importance of the financial sector, this study considers 26 OECD economies covering the period of 1982-2018. The leading importance of this study is utilizing the load capacity factor (LCF) as a decent proxy for sustainability. Similarly, the present empirical study utilizes advanced estimators to investigate the role of financial market index (FMI), financial institutions index (FII), renewable energy (REC) and income in environmental quality. The summarized results describe the positive role of REC in LCF in the specified nations. Conversely, FMI and FII are inverse-connected with the load capacity curve. Finally, the Load Capacity Curve (LCC) is validated for the selected economies. Interestingly, this study also suggests some imperative implications for boosting environmental sustainability. Such outcomes highlight the urgent need for legislative frameworks to accelerate the switch to renewable energy sources. Additionally, they emphasize the need for stricter oversight and control of financial institutions regarding their investments and policies for environmental preservation. Finally, the study raises the possibility that financial markets might obstruct ecological safeguards.

Harmonizing digital trade for sustainable stride: Unveiling the industrial pollution reduction effect of China's cross-border E-commerce comprehensive pilot zones

As a key export-oriented economy, China faces significant challenges to its green economic development due to industrial pollution. While digital trade is crucial for sustainable development, its impact on industrial pollution has not been studied. This paper addresses this gap by adopting prefecture-level data from 2005 to 2021 and using a staggered difference-in-differences model to assess the impact of comprehensive pilot zones policy of cross-border e-commerce (CBEC) on industrial sulfur dioxide pollution. The findings indicate that CBEC significantly reduces industrial sulfur dioxide emission intensity, with the effect growing stronger over time. The effect is particularly notable in eastern and western regions, large cities, cities with underdeveloped digital infrastructure, and cities with lower pollution. Mechanism analysis reveals that CBEC lowers industrial emission intensity by driving structure upgrading, fostering green innovation, and advancing digital transformation. This paper emphasizes that the government can expedite the green transformation of the economy by integrating digital trade with industry.

An empirical investigation of the nexus among renewable energy, financial openness, economic growth, and environmental degradation in selected ASEAN economies

This study investigates the relationship between economic growth, renewable energy consumption, financial openness, and environmental degradation in selected ASEAN (Association of Southeast Asian Nations) countries (Cambodia, Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam) from 1996 to 2018. We aim to analyze how macroeconomic situation, energy-related factors, and financial determinants contribute to environmental deprivation in selected countries whose growth has recently been substantial. To address this issue, we employ second-generation panel data regression models and quantiles with fixed-effects estimators. Initially, the cointegration analysis supports a long-run association between the variables of our interest. Empirical findings confirm the environmental Kuznets curve hypothesis, but it seems valid only for Singapore. Moreover, results highlight the ecological role of renewable energy for ASEAN countries to achieve Sustainable Development Goals, such as transitioning to a low-carbon economy and reducing air pollution. On the contrary, financial openness is a cause that positively influences CO2 emissions. This research offers practical policy recommendations for many countries, including the ASEAN economies, to attain sustainable development.

Evaluating forest depletion and structural change effects on environmental sustainability in Pakistan: Through the lens of the load capacity factor

The pace of species extinction and deforestation has increased dramatically due to the substantial increase in global environmental degradation. This trend is approaching the crucial temperature threshold of 2 °C and calls for more attention. Although previous research has observed the individual impacts of forest depletion, structural change, economic growth, and urbanization on various sustainability outcomes, there has been no previous research into their interrelationships with an emphasis on the load capacity factor (LCF). Furthermore, no previous study has examined the environmental impacts of the abovementioned variables by contrasting the results of LCF and CO2 emissions in Pakistan. Therefore, this research suggests a theoretical framework that integrates these concepts, provides a roadmap for an effective and sustainable mitigation strategy for Pakistan and compares LCF results with CO2 emissions. Using the time-series data from 1970 to 2021, a unique and sophisticated dynamic Autoregressive Distributed Lag (DARDL) technique, the authors found that (i) a 1 % rise in forest depletion leads to a decline in load capacity factor by 0.026 %. (ii) A one per cent upsurge in structural change fosters environmental sustainability by raising the load capacity factor by 0.084 %. (iii) An increase of 1 % in economic growth dwindles the load capacity factor by 0.027 %. (iv) A one per cent surge in urbanization enhances the load capacity factor by 0.029 %. The findings suggest that Pakistan's Government should promote afforestation by emphasizing the constructive role of structural change in achieving environmental sustainability.