Energy-saving targets and carbon neutrality: A perspective on carbon emissions and carbon substitution in 288 Chinese cities.

Environmental protection is a shared task among nations. In pursuit of its commitment to achieve carbon neutrality by 2060, China has implemented more robust energy-saving targets. This study utilizes panel data from 288 Chinese cities spanning from 2006 to 2020 to examine the policy effects of energy-saving targets on carbon neutrality. The findings reveal that (1) energy-saving targets positively impact carbon substitution, resulting in reduced carbon emissions and facilitating the progress towards carbon neutrality through three primary channels: energy governance, energy production, and energy consumption. (2) The influence of energy-saving targets on carbon neutrality exhibits a significant spatial spillover effect, driven primarily by the reduction in carbon emissions, although the spatial spillover effect of carbon substitution is relatively limited. The collaboration between the government and enterprises plays a crucial role in achieving carbon neutrality, while the engagement of the general public is yet to be fully realized. (3) However, the inadequacy of enhancing carbon neutrality through energy-saving targets lies in the compulsory emissions reduction behavior at the expense of sacrificing some economic benefits in cities that overachieve energy-saving targets. This undermines the coordinated development of ecology and economy. Therefore, it is recommended to establish a policy implementation monitoring system to ensure the scientific basis of policy objectives, enhance the level of green technology innovation, accelerate the digital transformation of enterprises, and establish a synergistic mechanism that involves multiple stakeholders.

Characterization and childhood exposure assessment of toxic heavy metals in household dust under true living conditions from 10 China cities.

Health hazards caused by metal exposure in household dust are concerning environmental health problems. Exposure to toxic metals in household dust imposes unclear but solid health risks, especially for children. In this multicenter cross-sectional study, a total of 250 household dust samples were collected from ten stratified cities in China (Panjin, Shijiazhuang, Qingdao, Lanzhou, Luoyang, Ningbo, Xi'an, Wuxi, Mianyang, Shenzhen) between April 2018 and March 2019. Questionnaire was conducted to gather information on individuals' living environment and health status in real-life situations. Multivariate logistic regression and principal component analysis were conducted to identify risk factors and determine the sources of metals in household dust. The median concentration of five metals in household dust from 10 cities ranged from 0.03 to 73.18 µg/g. Among the five heavy metals, only chromium in household dust of Mianyang was observed significantly both higher in the cold season and from the downwind households. Mercury, cadmium, and chromium were higher in the third-tier cities, with levels of 0.08, 0.30 and 97.28 µg/g, respectively. There were two sources with a contribution rate of 38.3 % and 25.8 %, respectively. Potential risk factors for increased metal concentration include long residence time, close to the motorway, decoration within five years, and purchase of new furniture within one year. Under both moderate and high exposure scenarios, chromium showed the highest level of exposure with 6.77 × 10-4 and 2.28 × 10-3 mg·kg-1·d-1, and arsenic imposed the highest lifetime carcinogenic risk at 1.67 × 10-4 and 3.17 × 10-4, respectively. The finding highlighted the priority to minimize childhood exposure of arsenic from household dust.

Can institutional pressures serve as an efficacious catalyst for mitigating corporate carbon emissions?

Driving enterprises to implement carbon emission reduction actions and reduce carbon emissions is a crucial research topic in achieving the carbon peaking and carbon neutrality goals. As a significant external environment factor influencing corporate behavior, can institutional pressures effectively promote enterprises to reduce carbon emissions? This study aims to probe into the impact and mechanism of three institutional pressures, namely coercive, mimetic, and normative, on corporate carbon emissions, taking Chinese-listed companies as the research object. The results indicate that coercive pressure is positively associated with corporate carbon reduction, while normative pressure has no significant impact. Furthermore, mimetic pressure impedes corporate carbon emissions. The mechanism test shows that carbon reduction is a mediator in the influence exerted by three institutional pressures on corporate carbon emissions. In response to coercive pressure and mimetic pressure, enterprises tend to reduce their carbon emissions by cultivating concepts related to carbon emission reduction. Concepts related to carbon reduction play a more dominant role than carbon reduction actions when both are mediators, with the former even replacing the latter. This research provides a new perspective for improving corporate environmental performance and corporate sustainability.

Evolution, culture, and the possibility of peace.

Glowacki's work meshes well with our view of human nature as having evolved to use culture to improve survival and reproduction. Peace is a cultural achievement, requiring advances in social organization and control, including leaders who can implement policies to benefit the group, third-party mediation, and intergroup cooperation. Cultural advances shift intergroup interactions from negative-sum (war) to positive-sum (trade).

Social and economic interdependence as a basis for peaceful between-group relationships in nonhuman primates and humans.

Glowacki asserts that interdependent relationships beyond group boundaries are exceptionally rare among nonhuman mammals. However, rudimentary forms of interdependence can be seen in primate species that form multilevel societies, that is, core social units embedded within higher-level grouping categories. Studies of primate multilevel societies can enrich discussions about the evolutionary origins of peaceful between-group interactions in humans.

Balancing low-carbon and eco-friendly development: coordinated development strategy for land use carbon emission efficiency and land ecological security.

Correctly identifying and handling the relationship between land use carbon emission efficiency (LUCEE) and land ecological security (LES) are important to promote carbon neutrality in the overall layout of ecological civilization construction. This study takes 30 provinces in China as the research unit and measures the level of LUCEE and LES in each province in the period from 2011 to 2020 via a super-efficient slack-based measure model considering undesirable output. The coupling coordination degree (CCD) of LUCEE and LES is calculated, and its spatiotemporal evolution pattern is explored by kernel density estimation and standard deviational ellipse (SDE). The Dagum Gini coefficient is used to study spatial regional differences and the sources of differences. Results show that (1) China's LUCEE exhibited a downward and then an upward trend, as well as a spatial pattern of "high in the west and low in the east" with obvious regional differences. The LES experienced a positive transformation of "less secure → basically secure → more secure" nationwide, with no apparent regional differences. (2) The kernel density curves showed a continuous increase in CCD in general, while interprovincial differences increased, then decreased, and shifted from multipolar to bipolar differentiation. (3) The migration of SDE centers in CCD demonstrated a path of "southeast → southwest → northeast," and the ellipticity increased from 0.167 to 0.173, showing a trend of concentrated distribution. (4) The overall Gini coefficient of the national CCD indicated a decreasing trend, but imbalances remained, with the largest annual average value in the western region (0.120) and the smallest in the northeast (0.044). The main source of regional disparity was the intensity of transvariation. Accordingly, this study proposes targeted regional development strategies to promote low-carbon sustainable land use and improve the ability of land ecosystems to prevent security risks.

Spatial effect of carbon neutrality target on high-quality economic development-Channel analysis based on total factor productivity.

This study utilizes panel data from 30 provinces in mainland China from 2011 to 2020 to investigate the impact of carbon-neutral development on economic high-quality development by constructing an economic high-quality development index and a carbon-neutral development index. Firstly, the study examines the effects of carbon-neutral development on economic high-quality development using baseline regression and spatial Durbin regression. The results indicate that carbon-neutral development has a positive direct effect on economic high-quality growth, but there are negative spatial spillover effects. Secondly, this study employs total factor productivity (TFP) as an intermediate variable in the mediation model regression. The findings demonstrate that carbon-neutral development significantly improves TFP, and the significant improvement in TFP promotes high-quality economic growth. Lastly, the study conducts regional heterogeneity analysis and finds a significant promoting effect of carbon-neutral development on economic high-quality development in the eastern and central regions of China, while it is not significant in the western region. Therefore, it is recommended that China, in the process of achieving carbon-neutral growth, consider the geographical connections between different regions to prevent negative spillover effects. Additionally, regional heterogeneity should be taken into account when formulating relevant policies to promote economic high-quality development.

Environmental governance-public supervision and participation nexus under state supervision system and carbon neutrality targets in China.

China is now experiencing severe environmental issues due to its rapid socio-economic advancement. Environmental governance is crucial to preserving China's rapidly degrading natural ecology. Public supervision and participation are important factors that effectively promote environmental quality. Therefore, this analysis primarily examines the relationship between China's public participation and environmental governance. Hence, the primary focus of the analysis is to investigate the asymmetric impact of public participation on environmental governance from 1996 to 2020. We have employed the nonlinear QARDL model that estimates the short- and long-run impact across different quantiles. The study's results support that long-run estimates for positive change in environmental NGOs (ENGOs) are significantly positive for almost all quantiles, while those for negative change in ENGOs are negative and have a significant impact at higher quantiles. In the short run, the estimates of positive change in ENGOs are positive and significant; however, the negative change in ENGOs does not significantly impact environmental governance at lower quantiles. The Wald test also confirms the asymmetric impact of ENGOs on environmental governance across various quantiles in short and long run. The findings of this analysis underscore the critical role of public supervision and participation in influencing environmental governance in China.

Impacts of poverty eradication on carbon neutrality in China.

China is facing challenges to tackle the threat of climate change while reducing social inequality. Poverty eradication requires improvement in the living conditions of low-income households, which leads in turn to higher carbon footprints and may undermine the efforts of climate change mitigation. Previous studies have assessed the climate impacts of poverty eradication, but few have quantified how the additional carbon emissions of poverty eradication are shared at the subnational level in China and the impact on China's climate targets. We investigated the recent trend of carbon footprint inequality in China's provinces and estimated the climate burden of different poverty reduction schemes, measured by increased carbon emissions. The results indicate that poverty eradication will not impede the achievement of national climate targets, with an average annual household carbon footprint increase of 0.1%-1.2%. However, the carbon emissions growth in less developed provinces can be 4.0%, five times that in wealthy regions. Less developed regions suffer a greater climate burden because of poverty eradication, which may offset carbon reduction efforts. Therefore, interregional collaboration is needed to coordinate inequality reduction with investments in low-carbon trajectories in all provinces.

Impact of different geopolitical factors on the energy transition: The role of geopolitical threats, geopolitical acts, and geopolitical risks.

In order to better understand the impact of different geopolitical factors on energy transition, the impact of geopolitical threats (war threats, peace threats, military buildups, nuclear threats and terror threats), geopolitical acts (beginning of war, escalation of war and terror acts), and geopolitical risks on energy transition were systematically investigated. Green technologies, natural resource rents and trade openness were incorporated into the analytical framework, and a dynamic panel threshold model was utilized to explore the impact of geopolitical risks on energy transition across different income levels. To this end, data on geopolitical threats, geopolitical acts, geopolitical risks, energy transitions and other key social economic factors for 38 countries from 2000 to 2022 were collected. The heterogeneity simulation results show that there is a negative correlation between geopolitical threats, geopolitical acts, geopolitical risks and energy transition. Moreover, geopolitical threats have more significant hindrance to the energy transition than geopolitical acts. The results of the nonlinear panel simulation show that there is a double threshold effect of geopolitical risks on energy transition. When geopolitical risk crosses the threshold (0.5197), the coefficient decreases to -0.29, which means that the rising geopolitical risk increases the inhibition on energy transition, and the inhibitory effect is slightly weakened after a certain level. Finally, policy implications are offered.

Accessing the impact of poverty age groupings on carbon neutrality targets: scenarios from developing Sub Sahara African countries.

Sustainable development aims to both alleviate poverty and protect the environment. Previous research has explored the connection between poverty and carbon emissions. However, in Sub-Saharan Africa, nearly half of the population lives below the international poverty line, hindering economic growth and sustainable development. Therefore, this current study aims to further explore different age groupings of poverty and economic growth relates to environmental pollution, in 43 Sub-Saharan African nations. This study addresses existing gaps by employing the Driscoll-Kraay (D-K) standard error technique and the method of moments quantile regression to examine the connections between variables, yielding significant findings. The results indicate that youth and middle age poverty has an inverse relationship with environmental pollution. In conclusion, this study emphasizes the critical importance of addressing poverty in the formulation of policies aimed at mitigating environmental pollution and promoting sustainable development in Sub-Saharan African countries. Insights from this research can inform policymakers and other stakeholders in designing more effective interventions, programs, and initiatives to combat both poverty and environmental degradation, ultimately leading to a better and more equitable environment.

How to achieve carbon neutrality and low-carbon economic development-evidence from provincial data in China.

"Carbon Peaking and Carbon Neutrality" is a major strategy for China to cope with climate change at present. We define the carbon neutrality capability (CNC) to reflect the current situation of regional carbon neutrality, and propose a new coupling model to explore the coupling relationship between regional economic development and carbon neutrality capability (CNC). Finally, the influence mechanism of the energy consumption structure on CNC was further discussed by using STRIPAT model. The results show that: during we study period, the national average carbon sink was about 77.89 Mt, and the carbon sinks in Inner Mongolia, Heilongjiang, Sichuan and Yunnan were as high as 164 Mt, mainly concentrated in the western region. The national average carbon source is 222.12 Mt, which is about three times that of carbon sink. The carbon source in Shandong, Hebei and Jiangsu are as high as 400 Mt or more, mainly concentrated in the eastern region. In addition, the growth rate of carbon source is much faster than that of carbon sink, especially the carbon emission caused by energy consumption, which leads to a general decline in CNC, and the development of CNC in various provinces is not optimistic. CNC and economic development level of most provinces are in a state of recession decoupling, and the coupling state of the provinces studied in certain years is significantly different. The spatial distribution of CNC and GDP has shown a northeast-southwest pattern. In addition, the influence of coal consumption structure on CNC is significantly negative, so we should optimize the energy consumption structure and increase the proportion of clean energy consumption. This study can make clear the current carbon neutrality capability of provinces in China, facilitate the formulation and adjustment of emission reduction strategies of provinces and cities, and help China to achieve carbon neutrality as soon as possible.

Aspectos metodológicos de la Encuesta Nacional de Condiciones de Vida en Venezuela / Methodological aspects of the National Survey of Living Conditions in Venezuela

La presente revisión surge dada la importancia otorgada a la Encuesta Nacional de Condiciones de Vida (ENCOVI) de Venezuela, la edición de dicha encuesta proporciona información representativa de la situacióneconómica, social y de salud de los hogares del país. Los resultados de la encuesta permiten a investigadores y expertos analizar y comprender la magnitud de la crisis en sus diversos aspectos y sus efectos sobre la población y las condiciones de vida, lo que la convierte en una herramienta esencial para entender los problemas que enfrenta la población de Venezuela y la forma de abordarlos de manera efectiva. La ENCOVI proporciona información útil, no solo, a la sociedad civil y Organizaciones No Gubernamentales (ONGs), también a instituciones gubernamentales, al ser divulgada a través de medios de comunicación, aportando importantes insumos para el abordaje de los problemas públicos y los desafíos encada sector, permitiendo comprender las condiciones de vida en los hogares venezolanos. La investigación se basa en un diseño bibliográfico-documental, efectuando para ello 6 fases constituidas por: búsqueda, compilación, revisión, selección,organización y examen sistemático. El objetivo es describir aspectos metodológicos utilizados en la encuesta nacional de condiciones de vida desde el 2014 hasta el 2022.

The present review arises given the importance givento the National Survey of Living Conditions (ENCOVI) of Venezuela, the edition of said survey provides representative information on the economic, social and health situation ofhouseholds in the country. The results of the survey allowresearchers and experts to analyze and understand the magnitudeof the crisis in its various aspects and its effects on the populationand living conditions, which makes it an essential tool tounderstand the problems faced by the population. of Venezuelaand how to address them effectively. The ENCOVI providesuseful information, not only to civil society and NGOs, butalso to government institutions when disseminated throughthe media, providing important inputs for addressing publicproblems and challenges in each sector, allowing understandingof the conditions of life in Venezuelan homes. The research is based on a bibliographic-documentary design, carrying out6 phases consisting of: search, compilation, review, selection,organization and systematic review. The objective is to describemethodological aspects used in the national survey of livingconditions from 2014 to 2022.

Empirical assessment of carbon emissions in Guangdong Province within the framework of carbon peaking and carbon neutrality: a lasso-TPE-BP neural network approach.

The escalating global greenhouse gas emission crisis necessitates a robust scientific carbon accounting framework and innovative development approaches. Achieving emission peaks remains the primary goal for emission reduction. Guangdong Province, a pivotal region in China, faces pressure to reduce carbon emissions. In this study, data was leveraged from the China Carbon Accounting Database (CEADS) and panel data from the "Guangdong Statistical Yearbook" spanning 1997 to 2022. Factors impacting carbon emissions were selected based on Guangdong Province's carbon reduction goals, macroeconomic development strategies, and economic-population dynamics. To address multicollinearity, lasso regression identified key factors, including population size, economic development level, energy intensity, and technology factors. A novel STIRPAT extended model, combined with the BP neural network optimized using the TPE algorithm, enhanced carbon emission predictions for Guangdong Province. Employing scenario analysis, five scenarios were generated in alignment with the planning policies of Guangdong Province, to forecast carbon emissions from 2020 to 2050. The results suggest that to achieve a win-win situation for both economic development and environmental protection, Guangdong Province should prioritize the energy-saving scenario (S2), which aligns with the "13th Five-Year Plan's" ecological and green development directives, to reach a projected carbon peak of 637.05Mt by 2030. In conclusion, recommendations for carbon reduction are proposed in the areas of low-carbon transformation for the population, sustainable economic development, and the development of low-carbon technologies.

Inequalities in Diabetes Mortality Between Microregions in Hungary.

Objectives: Regional differences in diabetes mortality are high in Hungary. In our cross-sectional study, we aim to reveal the drivers of the inequalities in diabetes mortality across the 197 microregions of Hungary. To account for the influence of changes in healthcare and social conditions, we compared two periods (2009-12 and 2013-16). Methods: Traditional and re-conceptualized deprivation- and healthcare provison measures were used in OLS regression models. Results: Microregions with a high proportion of population living in "service deserts," especially in regard to the lack of grocery stores, suffer the highest rates of diabetes mortality. Alcohol-related mortality has been proven to be a similarly and surprisingly strong predictor of diabetes mortality. Conclusion: Food provision should be supported in areas characterized by low service density, and alcohol policy should be strengthened and targeted.

Research and development for a carbon-neutral future and the status of EKC in G7 economies: evidence from CSARDL approach.

Climate change issues present substantial obstacles to the global community's stability and humanity's overall welfare. Reducing carbon emissions is crucial in attaining environmental sustainability and addressing the consequences of SDG 13 (climate actions). The G7 nations, representing some of the largest economies globally and significantly contributing to global carbon emissions, have achieved certain advancements in mitigating their carbon footprint. Nevertheless, the attainment of carbon neutrality continues to pose a substantial obstacle. This study examines the mechanisms leading to environmental sustainability in G7 economies, explicitly emphasizing the contribution of research and development (R&D) toward attaining carbon neutrality. The present study utilizes G7 data from 1990 to 2020 to conduct an empirical analysis employing a cross-sectional autoregressive distributed lag (CSARDL) panel model. The primary objective of this investigation is to examine the influence of R&D expenditure (R&DE) on carbon emissions metric ton (CO2Mt). Furthermore, this study investigates the current state of the EKC in the economies of the G7 nations, as well as the influence of renewable energy (RE) and non-renewable energy (NRE) on CO2Mt. The results suggest that R&DE is critical in mitigating CO2Mt and attaining carbon neutrality. The study also validates the EKC implies a negative and non-linear relationship between growth and CO2Mt. Moreover, renewable and non-renewable energy validate their respective negative and positive effects on CO2Mt. The findings of our study offer valuable insights for policymakers in the G7 nations, aiding them in developing effective regulatory measures for achieving carbon neutrality goals.

Do green logistics and green finance matter for achieving the carbon neutrality goal?

Global warming, a persistent issue, needs comprehensive solutions. Shifting to sustainable resources and promoting green initiatives like green logistics, green investments, and environmental policies (such as environmental technology and environmental tax) are potential ways to address this challenge. The current study explores relationships between these factors and transportation emissions in China, with a focus on achieving the 2060 carbon neutrality goal. To investigate the research gap, the study employs the novel econometric, method of moments quantile regression (MMQR) for benchmark estimation and the bootstrap quantile regression (BSQR) technique for sensitivity estimations from 2000/Q1 to 2019/Q4, and the study confirms the hypothesis of "carbon neutrality." The results reveal that green logistics and green finance have a negative impact on transportation emissions across all quantiles. Environmental technology, environmental tax, and renewable energy also help reduce transportation emissions. On the contrary, economic growth increases transportation emissions, with a greater effect in the early quantile stages but a diminishing impact in later stages. Based on the study's findings, policymakers should prioritize sustainable development strategies to achieve the goal of "carbon neutrality." Implementing green logistics and promoting green investments are essential steps in this direction. Additionally, greater support should be given to the renewable energy sector, green technologies, and sustainable growth to achieve the carbon neutrality goal in China by 2060.