Synergistic disparities of pollution reduction and carbon mitigation in the industrial chain: Evidence from China's industrial sector

The synergistic enhancement of pollution reduction and carbon mitigation (PRCM) is an inevitable requirement for China's ecological civilization construction. Existing studies primarily focus on macro-level research, and there is a relative lack of research specifically addressing the micro-level of industrial chains. Based on non-competitive IO tables, this study employed the structural path decomposition analysis method to analyze the synergistic disparities of the PRCM industry chain and its driving factors. The findings reveal: (1) The crucial emission industrial chains for CO2, SO2, and PM show a high overlap degree, accounting for 46.67 %, 46.67 %, 60.00 %, 50.00 %, and 56.67 % during 2002-2020. The PRCM industrial chains are operating at a low synergistic level, with proportions of only 13.33 %, 23.33 %, 20.00 %, and 16.67 %. PRCM exhibits a "similar origin with different paths" phenomenon. (2) China's carbon mitigation policies can reduce pollution, whereas pollution reduction policies have limited carbon mitigation effects. (3) The emission control effect is the primary disparate factor in PRCM synergy, while other factors exhibit consistent impact direction to three emissions. The study's conclusions and corresponding policy suggestions hold significant theoretical and practical implications for relevant authorities to systematically plan synergistic emission reduction pathways and establish targeted synergistic policies.

The Essential Role of Proteoglycans and Glycosaminoglycans in Odontogenesis

Tooth development and regeneration are regulated through a complex signaling network. Previous studies have focused on the exploration of intracellular signaling regulatory networks, but the regulatory roles of extracellular networks have only been revealed recently. Proteoglycans, which are essential components of the extracellular matrix (ECM) and pivotal signaling molecules, are extensively involved in the process of odontogenesis. Proteoglycans are composed of core proteins and covalently attached glycosaminoglycan chains (GAGs). The core proteins exhibit spatiotemporal expression patterns during odontogenesis and are pivotal for dental tissue formation and periodontium development. Knockout of core protein genes Biglycan, Decorin, Perlecan, and Fibromodulin has been shown to result in structural defects in enamel and dentin mineralization. They are also closely involved in the development and homeostasis of periodontium by regulating signaling transduction. As the functional component of proteoglycans, GAGs are negatively charged unbranched polysaccharides that consist of repeating disaccharides with various sulfation groups; they provide binding sites for cytokines and growth factors in regulating various cellular processes. In mice, GAG deficiency in dental epithelium leads to the reinitiation of tooth germ development and the formation of supernumerary incisors. Furthermore, GAGs are critical for the differentiation of dental stem cells. Inhibition of GAGs assembly hinders the differentiation of ameloblasts and odontoblasts. In summary, core proteins and GAGs are expressed distinctly and exert different functions at various stages of odontogenesis. Given their unique contributions in odontogenesis, this review summarizes the roles of proteoglycans and GAGs throughout the process of odontogenesis to provide a comprehensive understanding of tooth 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.

Effectiveness of energy depletion, green growth, and technological cooperation grants on CO2 emissions in Pakistan's perspective

According to Nationally Determined Contribution (NDC), Pakistan proposed to set a very ambitious conditional objective of an overall 50 % reduction in anticipated emissions by 2030, with 15 % coming from domestic resources and 35 % contingent on international grant financing, which would entail USD 101 billion just for the energy transition. Due to this consideration, the current study examines the impact of energy depletion, green growth, technological cooperation grants, and labor force on CO2 emissions in Pakistan for 1990 to 2020. This research used the STIRPAT framework and novel dynamic ARDL techniques. Additionally, a robustness check is also carried out using Kernel-based regularized least squares (KRLS) and the Granger causality approach is utilized to establish cause-effect relationships. The findings indicate that energy depletion leads to environmental contamination in the long run. In contrast, Green growth is reducing environmental contaminations in the long run. Furthermore, we found that technological cooperation grants also decline environmental contamination in the short run. Likewise, the Labor force dwindles CO2 emissions in the long run. According to Granger causality, there is bidirectional causality between GG↔CO2, and TCG ↔CO2, while there is one-way causality between END→CO2 and CO → LF. The findings show that policymakers should emphasize on the transition to green growth with extensive investment in technological innovations, so the country can achieve its CO2 reduction targets.

Asymmetric trade barriers and CO2 emissions in carbon-intensive industry

Since large carbon emissions are transferred through international trade, it is vital to explore the role country-specific trade policy has on carbon-intensive industries. The present study contributes to a deeper understanding of the connection between trade and environment in the literature, especially the impacts of trade barriers on carbon emissions. This topic has received little attention despite the importance of trade barriers to climate change and carbon emissions. Thus, we investigate the asymmetric trade barriers in carbon-intensive industries across different countries and describe the facts and motivations of these trade barriers in carbon-intensive industries. We list some political and trade explanations for the existence of trade barriers and empirically test the impacts of interest groups on trade barriers by the IV-2SLS method. Further, we have observed that certain highly developed countries, including Belgium, Switzerland, and Japan, are providing a notable implicit subsidy valued at over 200 USD per ton for carbon-intensive imported products. Our work carries essential implications for understanding how the manipulation of trade barriers could cause impacts on the environment.

Evaluating the synergistic effect of digitalization and industrialization on total factor carbon emission performance

Combating climate change and reducing carbon dioxide emissions are serious challenges shared by countries around the world. In the current era, digitalization has a significant impact on CO2 emissions. However, prior studies have not assessed the synergy between digitalization and industrialization on carbon emission performance. The principal component analysis and non-radial directional distance function (NDDF) are used to measure the digitalization and total factor carbon emission performance of Chinese 245 prefecture-level cities from 2003 to 2019. This study establishes a fixed effects model to study the panel data. The findings are as follows: (1) Digitalization can significantly promote Chinese cities' CO2 emission reduction. This result still holds after several robustness checks. (2) The heterogeneity results indicate that digitalization mainly improves central cities' carbon emission performance. Meanwhile, the impact of digitalization is more obvious after 2011. (3) Digitalization improves urban carbon emission performance through energy efficiency, industrial transformation, and technological innovation. (4) It is worth noting that digitalization synergizes with industrialization to improve carbon emission performance in Chinese cities. This study provides empirical evidence and some constructive policy recommendations for the government to push the collaborative development of the digitalization and low-carbon economy.

The effects of capital-biased tax incentives on firm energy intensity: Environmental dividend or consequence?

Capital and energy are essential input factors in the production and operation of firms, and they are closely interconnected. Nudging firms to improve energy performance during capital investment is crucial for attaining green competitiveness. Nonetheless, little is known about how capital-biased tax incentives affect firm energy performance in the process of encouraging firms to update or expand fixed assets. To fill this critical gap, this paper leverages the 2014 and 2015 accelerated depreciation policy for fixed assets as quasi-natural experiments to investigate the impact of capital-biased tax incentives on firm energy intensity. This study uses information from a unique dataset of Chinese firms, and the staggered difference-in-difference strategy is constructed to address identification challenges. The findings of this paper are as follows: (1) The accelerated depreciation policy for fixed assets significantly increases firm energy intensity by approximately 11.2%. A series of validations reinforce the robustness of this result. (2) Restructuring energy use and the factor substitution of energy for labour are the main channels through which the accelerated depreciation policy for fixed assets increases firm energy intensity. (3) The accelerated depreciation policy for fixed assets has a more remarkable effect on the energy intensity enhancement of small-scale firms, capital-intensive firms, and firms in energy-endowed regions. These conclusions support shaping policy options moderately by coordinating tax incentives and government regulation as key factors in promoting sustainable firm development. Overall, this research provides empirical evidence regarding the micro-environmental consequences of capital-biased tax incentives and offers valuable insights for enhancing corporate energy performance.

Green technology innovation under differentiated carbon constraints: The substitution effect of industrial relocation

The relationship between the carbon intensity constraint policy (CICP) and green technology innovation (GTI) has been well documented in the literature. However, the allocation method of the carbon abatement target is often ignored. The allocation method plays a decisive role in the policy effect. After alleviating the possible endogenous problems through quasi natural experiment, we find that the CICP with the special allocation method promotes GTI in the western provinces but inhibits GTI in the eastern provinces. Especially, the positive impact in the western provinces presents an intensifying trend. To discuss the potential mechanism, we further construct a three-dimensional panel, which contains 1.84 million observations. Our macro and micro evidences reveal that manufacturing firms in the eastern provinces tend to move westward under carbon constraints rather than GTI. In other words, the industrial relocation has a substitution effect on GTI, which further explains why the CICP inhibits GTI in the eastern provinces. The above findings offer targeted policy reference for regulators and government departments concerned with the issues of carbon emission reduction and GTI.

The impact of fiscal transfer payments on energy conservation and emission reduction in China: Does the development stage matter?

Fiscal transfer payments (TRANS) are the institutional supplement of Chinese-style fiscal decentralization, which is of great significance to economic development. However, the relationship between TRANS and energy conservation and emission reduction (ECER) remains to be further discussed. Using panel data of 30 provinces in China from 2003 to 2020, this study empirically examines the impact of TRANS on energy-environmental performance (EEP) from the perspectives of influence mechanism, regional heterogeneity and nonlinearity. The results show that the influence of TRANS on ECER presents an obvious U-shaped relationship, and this influence has regional heterogeneity. At the same time, the investment-driven effect, infrastructure effect and industrial structure effect are important channels through which TRANS affect ECER. The partially linear functional coefficient models show that TRANS have different effects in different development stages. With the continuous improvement of economic level and urbanization level, the promotion effect of TRANS on ECER is more and more obvious. These results indicate that the government should increase fiscal investment in ECER, and pay attention to the development stage of different regions.

Longitudinal associations between alcohol use, smoking, genetic risk scoring and symptoms of depression in the general population: a prospective 6-year cohort study

BACKGROUND

Alcohol consumption, smoking and mood disorders are leading contributors to the global burden of disease and are highly comorbid. Yet, their interrelationships have remained elusive. The aim of this study was to examine the multi-cross-sectional and longitudinal associations between (change in) smoking and alcohol use and (change in) number of depressive symptoms.

METHODS

In this prospective, longitudinal study, 6646 adults from the general population were included with follow-up measurements after 3 and 6 years. Linear mixed-effects models were used to test multi-cross-sectional and longitudinal associations, with smoking behaviour, alcohol use and genetic risk scores for smoking and alcohol use as independent variables and depressive symptoms as dependent variables.

RESULTS

In the multi-cross-sectional analysis, smoking status and number of cigarettes per day were positively associated with depressive symptoms (p < 0.001). Moderate drinking was associated with less symptoms of depression compared to non-use (p = 0.011). Longitudinally, decreases in the numbers of cigarettes per day and alcoholic drinks per week as well as alcohol cessation were associated with a reduction of depressive symptoms (p = 0.001-0.028). Results of genetic risk score analyses aligned with these findings.

CONCLUSIONS

While cross-sectionally smoking and moderate alcohol use show opposing associations with depressive symptoms, decreases in smoking behaviour as well as alcohol consumption are associated with improvements in depressive symptoms over time. Although we cannot infer causality, these results open avenues to further investigate interventions targeting smoking and alcohol behaviours in people suffering from depressive symptoms.

Comparative transcriptomic analysis reveals candidate genes for seasonal breeding in the male Lion-Head goose

1. Due to seasonal breeding, geese breeds from Southern China have low egg yield. The genetic makeup underlying performance of local breeds is largely unknown, and few studies have investigated this problem. This study integrated 21 newly generated and 50 publicly existing RNA-seq libraries, representing the hypothalamus, pituitary and testis, to identify candidate genes and importantly related pathways associated with seasonal breeding in male Lion-Head geese.2. In total, 19, 119 and 302 differentially expressed genes (DEGs) were detected in the hypothalamus, pituitary and testis, respectively, of male Lion-Head geese between non-breeding and breeding periods. These genes were significantly involved in the neuropeptide signalling pathway, gland development, neuroactive ligand-receptor interaction, JAK-STAT signalling pathway, cAMP signalling pathway, PI3K-Akt signalling pathway and Foxo signalling pathway.3. By integrating another 50 RNA-seq samples 4, 18 and 40 promising DEGs were confirmed in hypothalamus, pituitary and testis, respectively.4. HOX genes were identified as having important roles in the development of testis between non-breeding and breeding periods of male Lion-Head geese.

Choosing the right policy: Factors influencing the preferences of consumption-side personal carbon reduction policies

With the development of the social economy and the improvement of personal income, the government must consider formulating personal carbon reduction policies to reduce carbon emissions from the consumption side. Therefore, it is valuable to understand the public's preferences for different policies and the factors influencing the willingness of policy support, which can help policy selection and promotion. Using data collected from 2801 college students and a multinomial logit model, this study explores the influence of personal and social factors on preferences for three different personal carbon reduction policies (personal carbon trading, carbon tax, and carbon generalized system of preferences). The results show that individuals with higher levels of affluence, social trust, and social norms prefer personal carbon trading; individuals with higher levels of affluence, self-motivation, and social norms prefer carbon tax; individuals with higher levels of low-carbon behavioral attitudes and social trust prefer carbon generalized system of preferences; and low-carbon responsibility, access to low-carbon information, and social equity are beneficial to all three policies. In addition, this study examined the heterogeneity of individuals with different levels of affluence and low-carbon behavioral attitudes. This study compares the differences in influencing factors of policy preferences, clarifies the effects of various personal and social factors, which can help the government to design consumption-side personal carbon reduction policies in the future, and provide a reference for the promotion of corresponding policies.

Correlation study between apparent diffusion coefficients and the prognostic factors in breast cancer

AIM

To analyse the correlation between apparent diffusion coefficients (ADC) derived from intratumoural and peritumoural regions with prognostic factors and immune-inflammatory markers in breast cancer (BC).

MATERIALS AND METHODS

In this retrospective study, 89 patients (age range, 28-66 years; median, 45 years) with a diagnosis of invasive BC who underwent routine blood tests and multiparametric magnetic resonance imaging (MRI) were enrolled. The study cohort was stratified according to tumour maximum cross-section ≥20 mm, lymph node metastasis (LNM), time-signal intensity curve (TIC) type, and receptor status. Minimum, maximum, mean, and heterogeneity values of tumour ADC (ADC_tmin, ADC_tmax, ADC_tmean, and ADC_heter), maximum values of peritumoural ADC (ADC_pmax), and the ratio of peritumoural-tumour ADC (ADC_ratio) were obtained on the ADC maps. Linear regression analyses were performed to investigate the correlation between immune-inflammatory markers, prognostic factors and ADC values.

RESULTS

HER-2 was positively associated with ADC_tmax, ADC_tmean, and ADC_pmax values (β = 0.306, p=0.004; β = 0.283, p=0.007; β = 0.262, p=0.007, respectively), while platelet-to-lymphocyte ratio (PLR) was positively associated with ADC_pmax and ADC_ratio values (β = 0.227, p=0.020; β = 0.231, p=0.020, respectively). Among ADC parameters, ADC_pmax showed the highest predictive values for evaluating the presence of LNM (AUC, 0.751; sensitivity, 70.4%; specificity, 77.1%).

CONCLUSION

The ADC_pmax value could provide additional assistance in predicting prognostic factors of BC.

[Analysis of the usage of post-exposure prophylaxis and related factors among men who have sex with men]

A survey was conduct to analyze the usage situation of post-exposure prophylaxis(PEP) and related factors among men who have sex with men(MSM) in 6 cities of Shandong Province. Total of 2 620 subjects, the use ratio was 2.98% (78/2 620). Compared with age≤24 years,monthly income<5 000 yuan,non-commercial sex, non-DU,non-STD,role for being insert in the anal intercourse,MSM was more likely to use PEP with age≥45 years(OR=3.87, 95%CI:1.12-13.36),monthly income≥5 000 yuan(OR=1.87, 95%CI:1.07-3.28),commercial sex (OR=3.13, 95%CI:1.56-6.28), drug users (DUs) (OR=4.63, 95%CI:2.51-8.52),STD patient (OR=2.35,95%CI:1.05-5.27),the mixed sex role group(OR=2.25,95%CI:1.10-4.62).

Does the Emission Trading Scheme achieve the dual dividend of reducing pollution and improving energy efficiency? Micro evidence from China

Resolving the negative externality of environmental pollution has always been a concern in both the theoretical and practical space. To stimulate enterprises to participate in environmental governance actively, China has implemented a series of environmental regulation policies. The Emission Trading Pilot Scheme (ETPS) is an example of such policies implemented to ensure the gradual transition toward marketization. From a micro-enterprise perspective, the study examines how this policy achieves the dual effects of reducing emissions and promoting energy efficiency. We further explore potential channels through which this policy influences the dual effects. We empirically find ETPS to reduce the pollution emissions of enterprises significantly. However, the pollution reduction effect is mainly achieved by encouraging enterprises to strengthen cleaner production rather than through end governance. In addition to bringing environmental dividends, we observe ETPS to improve fossil energy efficiency by about 7.5% indirectly. We conclude by urging policy makers and participants to optimize energy structures and adjust intermediate input as they serve as significant pathways through which ETPS can affect fossil energy efficiency. The ETPS can encourage enterprises to actively step out of their "comfort zone" of environmental governance to be viewed as an effective environmental regulation policy.

How does digital finance influence green technology innovation in China? Evidence from the financing constraints perspective

Green innovation activities of enterprises often fall into the dilemma of financing constraints. Hence, it is urgent that the financial system develops and becomes innovative, especially for a developing country like China. Existing literature mainly explores the influencing factors of green innovation from the environmental regulation, economic growth and government subsidies perspective. However, few papers critically study how digital finance influences green innovations. To explore the internal influencing mechanism of digital finance on the quantity and quality of green technology innovation, panel data of 271 prefecture-level cities from 2011 to 2019 in China is used. Based on theoretical analysis and empirical research, we get the following conclusions. First, digital finance can improve the quantity and quality of green technological innovation, which has become a significant driving force for green innovations in China. The results are still robust after the endogeneity tests. Second, the results of heterogeneous analysis indicate that the different dimensions of digital finance can improve green innovations. They include breadth of coverage, depth of use, and degree of digitization. The positive effect of digital finance is most substantial in eastern cities, followed by central cities, and weakest in western cities. Third, digital finance indirectly improves green innovation mainly by alleviating financing constraints. Our empirical results provide policy enlightenment for realizing the coordination of China's urban digital transformation and green economic development.

Does Energy Efficiency Realize Energy Conservation in the Iron and Steel Industry? A Perspective of Energy Rebound Effect

The energy rebound effect may weaken the impact of energy efficiency improvement on energy consumption. Therefore, the rebound effect is an important consideration in energy and environmental policies. This study takes the iron and steel industry as the research object, which is a large energy consumption sector in China, and the improved technique is used to estimate the energy rebound effect. The study constructs the dynamic energy efficiency utilizing provincial data from 2000 to 2019. The energy rebound effect from factor substitution and output expansion is then calculated. The research further discusses regional differences in the energy rebound effect. The results indicate that the technical progress of the iron and steel industry promotes energy efficiency improvements. The eastern region shows the best energy efficiency performance, followed by the central area, and the western region performs the worst in energy efficiency. The industrial energy rebound effect is 0.4297, which partially offsets the energy reduction caused by energy efficiency improvements. Factor substitution and output growth produce the industrial energy rebound effect. Furthermore, the rebound effect exhibits distinct geographical features. The policy suggestions are finally proposed to mitigate the industrial rebound effect and achieve energy and carbon reductions.

Does the Kyoto Protocol as an International Environmental Policy Promote Forest Carbon Sinks?

Under the background of carbon neutrality, the carbon sequestration of forest ecosystems is an important way to mitigate climate change. Forest could not only protect the environment but also an important industry for economic development. As an international climate policy that first recognized the role of forest carbon sinks on climate change, the question becomes, has the Kyoto Protocol promoted the development of forest carbon sinks in contracting parties? To explore this, data of forest can be obtained at the national level. Hence, data of economic, social, polity and climate in 147 countries is also collected. The generalized synthetic control method is adopted. The results show that the policy effect of the Kyoto Protocol was obvious and significant. Moreover, the effect was more significant after the enforcement in 2005. Especially after the first commitment period, the policy effect of the second period is more obvious. Some policy implications are drawn.

Does Rent-Seeking Affect Environmental Regulation?

Resource utilization not only meets the needs of economic development, but also has a far-reaching negative impact on the environment. Environmental regulation is regarded as the key measure to solve environmental pollution. However, the rent-seeking behavior of local enterprises will seriously weaken the implementation effect of environmental regulations. Under the background of the development of big data era, the massive micro enterprise data provided by China's private enterprise survey database provides favorable conditions for this paper to study its impact effect from the direction of big data. This paper uses OLS model and Tobit model to investigate the impact of rent-seeking on the implementation effect of environmental regulation. The results show that environmental regulation will make honest enterprises actively reduce output to control the emission level. However, rent-seeking enterprises will further expand their output to gain greater profits because they are sheltered by local governments.

Vanishing Happiness: How Does Pollution Information Disclosure Affect Life Satisfaction?

The role of information in energy and environmental policies is receiving extensive attention. This paper examines the impact of pollution information on residents’ life satisfaction and its channels in China. A difference-in-difference (DID) approach is used to match China Family Panel Studies (CFPS) data with information disclosure data to find the negative impact of PM_2.5 information disclosure on residents’ life satisfaction. Heterogeneity analysis shows that the negative effects of information disclosure are more pronounced among young and middle-aged groups, residents with good physical conditions, higher education, higher income, and urban residents. The mechanism analysis indicates that the perception, avoidance, and envy effect are three important channels of influence. These findings provide some insights for public policy formulation aimed at enhancing the well-being of an entire population, such as paying attention to the psychological impact of policy implementation on different groups of people.

Does environmental decentralization aggravate pollution emissions? Microscopic evidence from Chinese industrial enterprises

Rational division of environmental management power among governments is a necessary institutional support for speeding up the realization of green development goals. Based on the combined microdata of China Industrial Enterprise Database and China Enterprise Pollution Database from 2000 to 2012, the effect of environmental decentralization on enterprise pollution emission is empirically examined in this research. Results show that Chinese-style environmental decentralization, especially environmental supervision decentralization and environmental monitoring decentralization, significantly aggravates the pollution emissions of enterprises. Moreover, the impact of environmental decentralization on enterprise pollution emissions has regional and enterprise ownership heterogeneity. The mechanism test results denote that the production scale effect, energy structure effect and pollution control effect are the micro mechanisms of environmental decentralization aggravating the pollution emission of enterprises. This research confirms the existence of "race to the bottom" among local governments in China and provides evidence support and beneficial enlightenment for the vertical reform of the environmental management system.

Does tourism industry agglomeration improve China's energy and carbon emissions performance?

The tourism industry is seen as having great potential, but tourism development and tourism activities may increase energy consumption and environmental pressure. Based on the provincial panel data of China from 2000 to 2017, we calculate the energy and carbon emission performance by using the non-radial distance function (NDDF) and further investigate the impact of tourism industry agglomeration on energy and carbon emission efficiency by combining the panel fixed effect model, mediation effect model and quantile regression. Our research results show that there is an inverted U-shaped relationship between tourism industry agglomeration and energy and carbon emission efficiency, and tourism industry agglomeration can improve energy and carbon emission efficiency at present. At the same time, the impact of tourism industry agglomeration on energy and carbon emission efficiency has regional heterogeneity. The industrial structure upgrading plays an important role in the process of tourism industry agglomeration. In addition, with the improvement of energy and carbon emission performance, the impact of tourism industry agglomeration is also different. These findings suggest that policymakers should promote tourism industry agglomeration to realize energy conservation and emission reduction. The Chinese government should focus on the tourism resources and advantages of different regions and formulate differentiated regional policies to improve ecological performance.

[Long-term observation of the effect of atlantoaxial fusion on the growth and development of children's cervical spine]

Objective: To explore the effect of atlantoaxial fusion on the growth and development of children's cervical spine. Methods: The clinical data of 12 children with atlantoaxial dislocation who underwent posterior atlantoaxial fusion at Department of Orthopaedics,the 909th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army from June 2002 to September 2013 were retrospective analyzed. There were 7 males and 5 females,with age of (8.1±3.1)years (range:3 to 13 years).Nine cases were traumatic and 3 cases were congenital malformations,1 of the children had Down syndrome. All children underwent posterior atlantoaxial fusion. Furthermore,the information of the height and anteroposterior width of the cervical vertebral bodies and vertical growth rate of the fusion mass were collected from all patients immediately postoperatively and during the follow-up.The range of motion in cervical spine were collected preoperatively and during follow-up period. Data were compared using independent sample t test, paired sample t test and repeated-measurement. Results: All 12 children had regular follow-up within (122.4±25.3)months(range:65 to 163 months). The height and anteroposterior width of the cervical vertebral bodies were similar to these results with those in published reports of growth in normal children of the same age(all P<0.01). At the last follow-up,atlantoaxial fusion of 11 cases had substantial growth (vertical growth rate of the fusion mass:11 cases ≥10%, 1 case <10%);the range of motion in cervical spine was close to the normal level (flexion(55.2±5.0)°,extension (65.3±4.9)°,left bending (41.7±4.5)°,right bending (42.4±4.4)°,left rotation (66.4±5.6)°,right rotation (68.5±5.8)°). Conclusions: Atlantoaxial fusion surgery is satisfactory in the treatment of pediatric atlantoaxial dislocation.During the follow-up,the growth and development of the cervical spine is close to that of normal children of the same age.In long-term observation,it has been found that the operation has no negative effect on the growth and development of the children's cervical spine.

Towards carbon neutrality: The role of different paths of technological progress in mitigating China's CO2 emissions

China's carbon neutrality in 2060 is a hot issue discussed by policymakers and scholars. Previous literature shows that technological progress is the key to CO₂ emission mitigation, but ignores the role of different paths of technological progress. This paper uses the panel data covering China's 30 provinces from 2008 to 2017 to study the effect of different paths of technological progress on CO₂ emissions including domestic innovation, foreign technology import and regional technology transfer. Furthermore, the assimilation effect of technologies from domestic and foreign is investigated, and its impact on CO₂ emissions is explored. The empirical evidence indicates that: (1) there is an inverted U-shaped relationship between domestic innovation and China's CO₂ emissions. (2) Foreign technology imports cannot decrease CO₂ emissions and carbon intensity in high-emission regions. Meanwhile, domestic technology transfer increase CO₂ emissions and carbon intensity in high-emission regions. However, foreign technology import of low-emission areas can achieve CO₂ emission mitigation. (3) The assimilation of technologies from abroad and domestic can increase CO₂ emissions and carbon intensity in high-emission regions. But the absorption effect of technologies from domestic can decrease CO₂ emissions and carbon intensity in low-carbon regions. According to the above results, this paper proposes some targeted policy suggestions for the choice of technological progress paths for CO₂ emission mitigation in different regions of China.

New management unit for conservation of the Endangered green turtle Chelonia mydas at the Xisha (Paracel) Islands, South China Sea

The Qilianyu cluster of the Xisha (Paracel) Islands has one of the few remaining green turtle Chelonia mydas rookeries in the China region. Genetic samples were obtained from dead green turtle embryos and hatchlings salvaged from post-hatched nests at Middle Island (n = 3), North Island (n = 9) and South Sand (n = 1) of the Qilianyu cluster in 2017-2019. The ~800 bp mitochondrial DNA control region was sequenced from the samples, and 5 haplotypes were identified belonging to 2 documented clades (clades III and VIII), including 2 new haplotypes (CmP243.1 and CmP244.1) and 3 previously reported haplotypes (CmP18.1, CmP19.1, CmP20.1). These results were combined with previously published mtDNA data for the Qilianyu cluster and nearby (~93 km) Yongle Islands indicating a lack of differentiation based on truncated 384 bp control region sequences (exact test, p = 0.0997; FST = 0.015, p = 0.2760), to represent a single Xisha Islands rookery. The rookery at the Xisha Islands was significantly differentiated (p < 0.01) from all 19 management units (MUs) documented in the Indo-Pacific and Japan regions, supporting recognition of the Xisha Islands rookery as a new independent MU. The results will help inform national and international conservation action plans by China and the countries around the South China Sea to protect green turtles in the West Pacific Ocean.

The long term effects of carbon trading markets in China: Evidence from energy intensive industries

Carbon trading scheme is an instrument adopted in many countries of the world to reduce CO₂ emissions. As an important way of environmental regulation, whether it can reduce the emissions and promote the economic development at the same time needs further investigation. This paper tests whether the Porter Hypothesis is true in China's carbon emissions trading scheme for energy intensive industries. Using provincial-level, industrial-level and firm-level data, we construct a DEA model that can incorporate the emissions trading behavior among different decision making units to show that the carbon emissions trading scheme can only reduce the CO₂ emissions but cannot increase the output significantly. That is, the carbon intensity is decreased. The reason is that the carbon trading scheme is conducive to the improvement of the production efficiency, and firm-level research and development input increases after carbon trading scheme. These findings are robust to several robustness checks. Our paper demonstrates the effectiveness of the carbon emissions trading scheme in reducing emissions. An external technological breakthrough is needed if the win-win situation of reducing CO₂ emissions and promoting economic development simultaneously is wanted to be achieved.

Does Use of Solid Cooking Fuels Increase Family Medical Expenses in China?

China has tried to replace solid fuels with cleaner energy in households. The benefits of fuel switching need to be identified. This article shows that households using solid cooking fuels suffer heavier medical expenses than those using non-solid cooking fuels. After accounting for family characteristics, using solid fuels is associated with 1.4–1.9% increases in medical care. Through the analysis of the impact mechanism, we found that solid cooking fuels harm the health conditions of family members and increase the probability of illness, thereby increasing medical expenses, while the ratio of fuel fees does not change significantly if switching cooking fuels. Furthermore, we explored heterogeneity to better understand the underlying relationship. For urban and higher-educated families with house ownership, the impact of solid fuels on medical expenses was weaker compared to rural and lower-educated households without owned houses. Therefore, considering the costs and benefits, we recommend continuing the conversion from solid fuels to non-solid fuels. In the fuel transition process, it is beneficial to raise residents’ awareness and improve behavior to avoid indoor air pollution.

Does energy efficiency make sense in China? Based on the perspective of economic growth quality

Whether energy efficiency can significantly improve economic growth quality is an important perspective to understand the relationship between energy and economic growth. Based on the provincial data during 2000-2017 in China, this study uses the Shepherd energy distance function and entropy weight method to calculate the energy efficiency and economic growth quality of each province, and investigates the impact of energy efficiency on economic growth quality. The results indicate that energy efficiency does not significantly improve economic growth quality, but there is an obvious U-shaped relationship between energy efficiency and economic growth quality. The influence of energy efficiency has significant regional heterogeneity. Energy efficiency significantly increases economic growth quality in the eastern regions but significantly reduces economic growth quality in the central and western regions. Meanwhile, energy efficiency has a positive U-shaped relationship with economic growth quality in the eastern and central regions. Moreover, the upgrading of industrial structure plays an important role in the process of energy efficiency affecting economic growth quality. In response to the above conclusions, this paper puts forward the targeted policy implications to improve China's energy efficiency and promote high-quality economic development.

What Information Do We Have on People's Willingness to Pay on Reducing Plastic Shopping Bags?

The Chinese government implemented the payment system for plastic shopping bags in 2008 and 2020. This study aims to analyze consumers' perceptions and purchase willingness of plastic shopping bags. Using information technology, a random survey was carried out in Chinese first-tier cities. After collecting the rich first-hand data, the ordered Logit model is applied to conduct the empirical investigation. The results show that the average willingness to pay is roughly equal to what supermarkets charge. For socio-demographic characteristics, male, younger, and higher-income consumers are likely to pay more money. Consumers with more positive perceptions of policy support, environmental threat, personal ability, and charging benefits tend to pay higher fees. Moreover, the marginal influence of different variables on purchase willingness is heterogeneous. This study finally puts forward targeted suggestions for reducing plastic shopping bag consumption based on findings.

How “Informing Consumers” Impacts Willingness to Pay for Renewable Energy Electricity in China

This paper finds that informed residents are more willing to support renewable energy development. Respondents with a higher level of participation in renewable energy planning, satisfaction with the implementation of renewable energy policies, as well as recognition of the high cost of renewable energy are more willing to use renewable energy. They are willing to pay more for renewable energy power, which means that respondents with more green information (renewable energy) are willing to pay more for renewable energy electricity. Although respondents are more willing to use voluntary payment mechanisms, they are more likely to pay more for renewable energy power under the mandatory payment mechanism. There is a large gap between the actual green power purchase behavior of Chinese residents and the expected WTP, mainly because there are many problems in the voluntary subscription mechanism for green power certificates. Finally, this paper provides targeted policy recommendations for policymakers.

Access to Credit and Green Innovation

Starting with the natural credit relationship between financial institutions and enterprises, this paper examines the relationship between distance-based access to credit and green innovation by using the data of financial licenses and listed enterprises. Based on the resource dependence theory, the authors use the geographical location of bank branches and enterprises to build micro-level credit access indicators. It shows that enterprises with better access to credit have more motivation to carry out green innovation. Taking the number of branches of the Bank of China in 1937 as an instrumental variable, it still supports the above results. Its influence lies in the reduction of financing constraints of enterprises. This paper further discusses the impact of green finance and digitization. The development of green finance and digitization could replace the benefits of distance-based access to credit. Combined with the transformation process of traditional banks in the future, this paper puts forward some policy suggestions to promote green innovation and low-carbon development.

Does Knowledge Really Help?

Drawing on the self-determination theory, this study explored the effect of three kinds of low-carbon knowledge (LCB), including system knowledge (SK), action-related knowledge (AK), and effectiveness knowledge (EK), on college students’ low-carbon behavior (LCB) by focusing on the mediating role of low-carbon intrinsic motivation (LCIM) and the moderating role of climate change risk perception (CCRP). Using a sample of 2846 college students in China, this study found that SK has an inverted U-shaped relationship with LCB, but AK and EK positively affect LCB. Moreover, LCIM mediates the relationship between three kinds of LCK and LCB. The moderated path analysis also indicated that CCRP could strengthen the impact of LCB on LCIM. Finally, this study discusses the theoretical significance of these findings and provides some policy suggestions and practical implications for the government.

How Does Internet Development Affect Green Technology Innovation in China?

With the advent of the information age, the Internet is a new tool for “mass entrepreneurship and innovation initiative” and contributes to the emergence of new products, new technologies and new business formats. However, the question of how the Internet development affects green technological innovation has not been well answered. This article measures the comprehensive Internet development level of 264 prefecture-level cities from 2003 to 2018 in China, and then conducts empirical research. The results show that Internet development can increase high-quality and low-quality green technological innovation. This conclusion remains robust after endogeneity testing. Secondly, Internet development can not only directly promote green technology innovation, but also indirectly play a positive role through financial development and industrial structure upgrading. Thirdly, the positive effect of Internet development on green technology innovations presents significant nonlinear characteristics of increasing marginal effect. It indicates that Metcalfe's law is valid in this paper.

Revisiting the Effect of Urbanization on Residential Electricity Consumption

Under the background of electrification, it is significant to explore the changes in residential electricity consumption for energy conservation and emission reduction. Based on the staggered difference-in-difference (DID) approach, this paper investigates urbanization's effect on residential electricity consumption using the longitudinal dataset from 2010-2018 China Family Panel Studies (CFPS). It is found that China's urbanization has increased the average electricity consumption by 12.8% with electricity substitution as the main channel. After urbanization, the scale effect of population and area levels does not exist. The authors also find that this positive effect is affected by electricity price (i.e., the higher the price level, the smaller the positive impact). However, as the electric charge is insignificant relative to the income, the moderating effect of price remains small. This indicates that the positive effect of urbanization will not decrease soon in the future unless the residential electricity price system is reformed.

Determinants of household food waste reduction intention in China: The role of perceived government control

About one third of food are wasted or lost globally every year which causes the problems of environmental degradation, food security issues, and economic inefficiency. With the new mandatory source separation policy implemented in China, the main objective of this research is to identify the variables that impact household food waste reduction intention and to understand the role of perceived government control and perceived policy effectiveness from the perspective of households. Using a PLS-SEM model design, a questionnaire with nine constructs including theory of planned behaviors variables, perceived policy effectiveness, perceived government control, perceived consumer effectiveness, and environmental concern were answered by respondents (n = 3037). Results showed that the less well-studied variables of perceived government control are important in shaping shareholder's food waste intention. As expected, the theory of planned behavior variables, perceived consumer effectiveness, and environmental concern are positively related to reducing food waste intention, while strong perceived government control was associated with lowering intention in food waste reduction. This paper then extends existing understanding of psychological determinants of food waste by identifying perceived government control as mediator.

The effects and reacts of COVID-19 pandemic and international oil price on energy, economy, and environment in China

In 2020, the world experienced several significant events, including the COVID-19 pandemic and the collapse of international crude oil prices. Both have a great impact on a sustainable economy. Taking China as an example, we use a computable general equilibrium model with multi-sectors and multi-households and consider six different scenarios to simulate and evaluate the aggregate impacts of the pandemic and crude oil prices. We divide the impact of the pandemic into the changes of factor input and the changes of consumer preference and find that the decline of factor input is the leading cause of the economic downturn. The sharp drop in crude oil prices has a significant negative impact on the low-carbon economy. Although the pandemic has led to a decline in global carbon emissions, it is only because of the economic downturn. The epidemic situation and the change of oil price have double impacts on the economy, especially the sustainable economy. Adjusting the price gap between fossil energy and renewable energy (e.g., more stringent carbon pricing) and appropriate tax cuts on residents may be effective ways to alleviate the impact, which should be one of the environmental policies in the post-COVID-19 era.

The association between diabetes and mortality in young adults presenting with myocardial infarction

Background

The incidence of diabetes mellitus and coronary artery disease continue to rise and collectively comprise two of the most prevalent and costly diseases worldwide. The goal of this study is to report the prognosis of young patients with diabetes presented with acute myocardial infarction (AMI).

Methods

This is a retrospective observational cohort study that included consecutive patients aged 18–45 years who underwent cardiac catheterization for AMI between 2006 and 2016 in an integrated healthcare system in Southern California. The prognosis of patients with diabetes were compared to those without diabetes.

Results

A total of 1,560 patients (average age 40.2±5.3 years, 25.6% female) presenting with AMI were included. Of these 272 (17.4%) had diabetes. Diabetics were older (41.1±4.4 vs 40.0±5.4 years), more likely to be female (32.4% vs 24.1%, p=0.006), Hispanic (51.5% vs 40.5%, p&lt;0.001), have a higher body mass index (BMI) (33.6±7.1 vs 31.2±6.8kg/m2, p&lt;0.001), have hypertension (HTN) (67.6% vs 23.8%, p&lt;0.001), hyperlipidemia (HLD) (78.3% vs 24.1%, p&lt;0.001), peripheral vascular disease (9.9% vs 1.9%, p&lt;0.001), chronic kidney disease (CKD) (23.2% vs 2.7%, p&lt;0.001), hypothyroidism (7% vs 4%, p=0.034), and prior strokes (4.4% vs 2.2%, p=0.034).

On multivariate analysis accounting for other cardiovascular risk factors, the association remained significant (OR 1.82, 95% CI 1.04–3.19, p=0.036). At a median follow-up of 5.8 years (interquartile range 3.7–8.7 years), diabetes was independently associated with increased all-cause mortality (Hazard ratio [HR] 3.10, 95% CI 1.68–5.69, p&lt;0.001) when adjusting for age, sex, race, BMI, HTN, HLD, CKD, hypothyroidism, prior stroke, and ACS etiology. In a propensity score matched cohort, diabetes remained significantly associated with all-cause mortality (HR 5.29, 95% CI 2.34–12.02, p&lt;0.001).

Conclusion

Diabetes is an independent predictor of increased mortality in young adults &lt;45 years old presenting with AMI.

Funding Acknowledgement

Type of funding sources: Private hospital(s). Main funding source(s): KAISER PERMANENTE LOS ANGELES MEDICAL CENTER

The temporal analysis of elite breaststroke swimming during competition

Breaststroke is the only competitive stroke characterised by propulsive discontinuity. It is consequently paramount that swimmers optimally coordinate limb movements in order to maintain the highest average velocity possible. The present study aimed to investigate the temporal patterns of elite breaststroke swimmers. 50 m long-course competition footage of (1) 20 male 100 m races, (2) 24 female 100 m races, (3) 15 male 200 m races, and (4) 27 female 200 m races from 2018 to 2020 were digitised and analysed. Six points within each stroke cycle were identified and used to calculate 15 temporal parameters. Analyses revealed multiple temporal pattern differences between groups based on sex and race distance. It is recommended that coaches individualise swimmers' breaststroke temporal patterns based on individual needs, strengths, and morphological characteristics.

Impact of public support and government's policy on climate change in China

Climate change is a global environmental issue that would damage the natural and biological systems. Although there are many controversies about climate change, the temperature rise has become more and more obvious in the world since the 1990s. It is worthwhile to understand whether the public supports the government's policy on climate change and how public support affects climate change. A case study of the first-tier cities in China is done to explore these questions through questionnaire surveys. 3468 valid questionnaires from four first-tier cities in China were screened out are used for individual behavior analysis. The results show that the respondents' perceptions towards climate change in China are laxer than those in other countries, meanwhile, they hope that the government would respond to climate change actively. The influencing factors mainly include the demographic characteristics and their perception of climate change. Demographic characteristics are about gender, income, marital status, age, and whether they have children. Moreover, respondents' perception of climate change has a significant impact on their attitudes towards the government's policies for mitigating climate change. The conclusions are drawn based on the comparative analysis of the survey results and suggestions are put forward for making climate change policies.

The dilemma of paraxylene plants in China: Real trouble for the environment?

China's demand for paraxylene, an essential material for the chemical industry, is growing rapidly. However, the public is worried about the influence of paraxylene plants on the environment. The contradiction between supporting paraxylene and opposing it poses a considerable challenge for the Chinese government. Therefore, objective evaluation of paraxylene plants' impact on the environment is of great significance to industrial development. Using the urban panel data of 102 cities in China from 2003 to 2017, this paper applies the PSM-DID method to study the relationship between paraxylene plants and air quality. This paper shows that paraxylene plants play a significantly positive role in aggravating urban air pollution. Specifically, paraxylene plants increase not only industrial dust pollution but also increase SO₂ emissions. This influence is still valid after multiple robustness tests. Moreover, the mechanism analysis reveals that paraxylene plants' construction promotes income growth but hinders foreign direct investment. Finally, this paper provides policy suggestions on promoting paraxylene industrial development in terms of governments, enterprises, and the public.

Atmospheric Carbon and Transport - America (ACT-America) Data Sets: Description, Management, and Delivery

The ACT-America project is a NASA Earth Venture Suborbital-2 mission designed to study the transport and fluxes of greenhouse gases. The open and freely available ACT-America data sets provide airborne in situ measurements of atmospheric carbon dioxide, methane, trace gases, aerosols, clouds, and meteorological properties, airborne remote sensing measurements of aerosol backscatter, atmospheric boundary layer height and columnar content of atmospheric carbon dioxide, tower-based measurements, and modeled atmospheric mole fractions and regional carbon fluxes of greenhouse gases over the Central and Eastern United States. We conducted 121 research flights during five campaigns in four seasons during 2016-2019 over three regions of the US (Mid-Atlantic, Midwest and South) using two NASA research aircraft (B-200 and C-130). We performed three flight patterns (fair weather, frontal crossings, and OCO-2 underflights) and collected more than 1,140 h of airborne measurements via level-leg flights in the atmospheric boundary layer, lower, and upper free troposphere and vertical profiles spanning these altitudes. We also merged various airborne in situ measurements onto a common standard sampling interval, which brings coherence to the data, creates geolocated data products, and makes it much easier for the users to perform holistic analysis of the ACT-America data products. Here, we report on detailed information of data sets collected, the workflow for data sets including storage and processing of the quality controlled and quality assured harmonized observations, and their archival and formatting for users. Finally, we provide some important information on the dissemination of data products including metadata and highlights of applications of ACT-America data sets.

Leveraging carbon label to achieve low-carbon economy: Evidence from a survey in Chinese first-tier cities

Carbon label is an important tool for countries to achieve green economy in the context of global climate change. Since the public is the end consumer of carbon-labeled products, understanding their attitudes towards carbon label is crucial for the future development of carbon labeling system. Under this background, we conduct a survey on consumers' perception of carbon-labeled electrical and electronic products (CEP) in Chinese first-tier cities. Consumers' premium willingness to pay (WTP) for CEP and its influencing factors are explored. After correcting the possible estimation bias by a sample selection model, we find that 85.97% of respondents are willing to pay more for carbon-labeled products. Besides, males, respondents who are younger or richer, or with underage children at home are more willing to pay a premium for carbon-labeled products. The degree of trust and understanding of carbon label also has a positive impact on the premium WTP. As for the specific value of premium WTP, an additional 7.85% of the original price for CEP is willing to be paid. The above findings can provide targeted reference for policymakers in pricing carbon-labeled products, and also yield effective policy recommendations for the future development of carbon label system.

Does COVID-19 open a Pandora's box of changing the connectedness in energy commodities?

With the rapid spread of coronavirus, the global financial markets have been undergoing tremendous changes, which bring investors more risks in the short term. Against such background, this study concentrates on the far-reaching energy commodities, aiming to explore the impact of COVID-19 on cross-market linkages. To capture the dynamic nature of interdependence, we applied the TVP-VAR based connectedness index method and individually focused on the total, net, and pairwise connectedness. The empirical results show that there is a dramatic rise in the total connectedness in energy markets following the outbreak of COVID-19, but this change only lasted about two months and then fell back to the prior level. Further analyzing the net spillover conditions, we find that the connectedness structure has also displayed some temporary changes. At last, the spillover networks indicate that there are only three pairwise connectedness relations have changed in direction before and after the outbreak of COVID-19. We also try to discuss the underlying COVID-19 shock propagation mechanism, and the results suggest the significant mediation effect of the financial panic risk. In general, our study offers several urgent and prominent implications to understand the financial impact of COVID-19.

Impact of natural gas consumption on sub-Saharan Africa's CO2 emissions: Evidence and policy perspective

With huge natural gas(NG) reserves and current low (1%) share of non-hydro renewables in Sub-Saharan Africa (SSA), can natural gas offer SSA a low-carbon energy transition? Employing data from 1980 to 2017, this paper investigates the impact of NG consumption on SSA's CO₂ emissions using data-driven nonparametric additive regression(NPAR) which can reveal both linear and nonlinear effects. Augmenting NPAR with translog production function(TPF) estimates of interfuel substitution elasticities and bias technological progress over sample period(advantage of TPF), we further provide evidence of the indirect effect of NG consumption on SSA's CO₂ emissions through mechanism analysis. From the empirical results, the linear effect shows NG positively impact CO₂ emissions while the nonlinear effect indicates a downward decreasing trend (meaning expansion in NG consumption will gradually lower CO₂ emissions). Nonlinearly, urbanization and energy efficiency also show positive "inverted U-Shaped" and "downward slopping" respectively meaning sustainable urban energy and energy efficiency practices improvement can lead to CO₂ reduction respectively in SSA. The reducing effect of NG consumption on CO₂ (the nonlinear effect) is realized through the enhancement of positive bias technological progress of NG over coal and oil but not merely substitution of coal and oil for NG. Technological progress improvement in NG use will also reduce the positive linear effect of urbanization and energy efficiency on CO₂ emissions of SSA. Oil is more likely to be substituted for NG than that of coal in SSA. The scenario analysis shows a total of 6.9%, 7.6% and 8.3% of energy conservation is realized in 2022, 2026 and 2030 with a corresponding CO₂ reduction of 18.7%, 20.7% and 22.9% respectively for a continuous 10% investment in NG. Institutional, market-oriented and technology challenges hinder NG development among major producers in SSA. Based on the results, several policy measures are put forward to promote SSA's low-carbon energy transition.