The health consequences of greenhouse gas emissions: a potential pathway

Environmentally sustainable gastroenterology practice: Review of current state and future goals

OBJECTIVES

The health-care sector contributes 4.6% of global greenhouse gas emissions, with gastroenterology playing a significant role due to the widespread use of gastrointestinal (GI) endoscopy. In this review, we aim to understand the carbon footprint in gastroenterology practice associated with GI endoscopy, conferences and recruitment, identify barriers to change, and recommend mitigating strategies.

METHODS

A comprehensive search of PubMed, Embase, and the Cochrane Library was conducted to explore the carbon footprint in gastroenterology practice, focusing on endoscopy, inpatient and outpatient settings, and recruitment practices. Recommendations for mitigating the carbon footprint were derived.

RESULTS

This narrative review analyzed 34 articles on the carbon footprint in gastroenterology practice. Carbon footprint of endoscopy in the United States is approximately 85,768 metric tons of CO2 emission annually, equivalent to 9 million gallons of gasoline consumed, or 94 million pounds of coal burned. Each endoscopy generates 2.1 kg of disposable waste (46 L volume), of which 64% of waste goes to the landfill, 28% represents biohazard waste, and 9% is recycled. The per-case manufacturing carbon footprint for single-use devices and reusable devices is 1.37 kg CO2 and 0.0017 kg CO2, respectively. Inpatient and outpatient services contributed through unnecessary procedures, prolonged hospital stays, and excessive use of single-use items. Fellowship recruitment and gastrointestinal conferences added to the footprint, mainly due to air travel and hotel stays.

CONCLUSION

Gastrointestinal endoscopy and practice contribute to the carbon footprint through the use of disposables such as single-use endoscopes and waste generation. To achieve environmental sustainability, measures such as promoting reusable endoscopy equipment over single-use endoscopes, calculating institutional carbon footprints, establishing benchmarking standards, and embracing virtual platforms such as telemedicine and research meetings should be implemented.

Moderating the role of social progress with greenhouse gases to determine the health vulnerability in developing countries

Human activities have compelled massive environmental degradation, which causes climate vulnerability and that has emerged as a significant health issue. The present study assesses the role of social progress with greenhouse gases to determine the health vulnerability in 77 developing countries from 2011 to 2020. The empirical results are estimated by using the panel ARDL econometric approach. The study found that greenhouse gas emission proposes a U-shaped relationship to determine health vulnerability. In this study, social progress is used as the moderator variable, which shifts the turning point of the U-shaped curve. For this purpose, the interaction term of social progress with greenhouse gases shifts the turning point to the left side of the U-shaped curve and further flattens it. Furthermore, this study explores that urbanization, export openness, and government education expenditure negatively impact health vulnerability while industrialization increases health vulnerability. The study recommends that government should pay special attention to declining greenhouse gases and rising social progress to improve health vulnerability.Graphical abstact.

Under the different sectors: the relationship between low-carbon economic development, health and GDP

Developing a modern low-carbon economy while protecting health is not only a current trend but also an urgent problem that needs to be solved. The growth of the national low-carbon economy is closely related to various sectors; however, it remains unclear how the development of low-carbon economies in these sectors impacts the national economy and the health of residents. Using panel data on carbon emissions and resident health in 28 province-level regions in China, this study employs unit root tests, co-integration tests, and regression analysis to empirically examine the relationship between carbon emissions, low-carbon economic development, health, and GDP in industry, construction, and transportation. The results show that: First, China's carbon emissions can promote economic development. Second, low-carbon economic development can enhance resident health while improving GDP. Third, low-carbon economic development has a significant positive effect on GDP and resident health in the industrial and transportation sector, but not in the construction sector, and the level of industrial development and carbon emission sources are significant factors contributing to the inconsistency. Our findings complement existing insights into the coupling effect of carbon emissions and economic development across sectors. They can assist policymakers in tailoring low-carbon policies to specific sectors, formulating strategies to optimize energy consumption structures, improving green technology levels, and aiding enterprises in gradually reducing carbon emissions without sacrificing economic benefits, thus achieving low-carbon economic development.

The role of economic production, energy consumption, and trade openness in urbanization-environment nexus: a heterogeneous analysis on developing economies along the Belt and Road route

In today's world, where urbanization is at its pinnacle, has created a significant economic gap between rural and urban populations in developing economies and substantially influenced environmental degradation. This study investigates the relationship between urbanization and environmental degradation via carbon emissions among developing countries along the Belt and Road route from 1990 to 2019 while using economic production, energy consumption, and trade openness as control variables. The study engages current econometric methodologies to uncover accurate and reliable findings, and the outcomes reveal that the panel under investigation is cross-sectionally dependent and heterogeneous. Therefore, the AMG, CCEMG, and DCCEMG estimators are employed to examine the effect connection between the variables. The outcomes unveil that urbanization, economic production, and energy consumption escalate environmental degradation, but trade openness is confirmed as a trivial determinant of environmental degradation. Furthermore, the causal connections between the variables disclose bi-directional causalities between urbanization and environmental degradation and between energy consumption and environmental degradation. Nevertheless, uni-directional causalities are affirmed, spanning from economic production to environmental degradation and from trade openness to environmental degradation. Finally, policy implications are discussed.

Research Progress and Hotspot Analysis of Residential Carbon Emissions Based on CiteSpace Software

Residential carbon emissions are one of the critical causes of climate problems such as global warming. It is significant to explore the development and evolution trend of residential carbon emissions research for mitigating global climate change. However, there have been no studies that comprehensively review this research field. Based on the research papers on residential carbon emissions included in the Web of Science core database and China National Knowledge Infrastructure database, the CiteSpace bibliometric analysis software was used in this paper to draw the visual knowledge map of residential carbon emissions research and reveal its research status, research hotspots, and development trend. We found that residential carbon emissions research has gone through the stage of "emergence-initiation-rapid development", and the research in the United States and the United Kingdom has played a fundamental role in developing this research field. Research hotspots mainly focus on analyzing energy demand, quantitative measurement, and impact mechanisms of residents' direct and indirect carbon emissions and low-carbon consumption willingness. The focus of research has gradually shifted from qualitative analysis based on relevant policies to the analysis of quantitative spatiotemporal measurements and drive mechanisms of direct and indirect carbon emissions from residential buildings, transportation, and tourism based on mathematical models and geographic information system technologies. Modern intelligent means such as remote sensing technology and artificial intelligence technology can improve the dynamics and accuracy of this research, but there are few related types of research at present. Based on these research status and trends, we proposed that the future research direction of residential carbon emissions should focus more on spatial analysis and trend prediction based on intelligent methods under a low-carbon background.

The Effect of Innovation City Construction on Carbon Emissions in China

Innovation, as a driving force to economic growth, has been referred to as an important development strategy by the central government of China. In order to improve the innovative capability of cities, Chinese officials started to construct innovation cities in 2008. Previous studies have investigated the ecological and economic effects of innovation city construction; however, the environmental effect of the project remains unclear. In this study, we constructed an annual panel of 285 cities in China, from 2007 to 2015, to assess the effect of innovation city construction on carbon emissions. Our baseline results are obtained from a difference-in-differences estimator, comparing cities with and without introducing innovation city construction, whose results show that innovation city construction reduces carbon emissions by about 2% on average. We found a similar effect of innovation city construction on carbon emissions when we controlled for the estimated propensity of a city to launch the innovation city construction based on a series of urban characteristics, such as gross regional product and population. We obtained comparable estimates when we used the propensity score as weights to balance urban characteristics between cities with and without launching the innovation city construction. Our results also show that innovation city construction has a larger effect on carbon emissions in western, poorer, and fewer population cities than in those with opposite characteristics. We found suggested the persistence of the effect that innovation city construction had on carbon emissions, implying that the Chinese government should encourage innovation to reduce carbon emissions. Besides, we performed a series of robustness tests, including the leave-one-city-out test, the bootstrapping test, and the permutation test, to illustrate the robustness of our results.

Health and Human Wellbeing in China: Do Environmental Issues and Social Change Matter?

How to mitigate greenhouse gas emission and achieve human development remain major sustainability issues, particularly in China. Empirical research on the effects of climate warming and social change on human health and wellbeing is quite fragmented. This study examines the impact of environmental issues and social changes on health and human wellbeing using a time series data of China from 1991 to 2020. Findings show that environmental issues have a negative impact on health and human wellbeing in long run. While the internet is a form of social change that tends to improve health and human wellbeing in the long run. FDI exerts a positive effect on human health, but it does not improve wellbeing in the long run. In contrast, financial development does not improve human health but it has a significant positive impact on wellbeing in the long run. Our empirical insights have important implications for achieving human wellbeing through the pursuit of environmental sustainability and social change.