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[Display omitted] • 28 out of 57 target PFAS were detected in paper products from China. • 9 groups of PFAS with 1–3 confidence levels were identified by non-target analysis. • Ethanol in food simulants can increase the migration of PFAS. • Long-chain PFAS in popcorn bags can be degraded by microwave heating. • PFAS in some paper products exceeded the recommended daily intake values. The contamination characteristics, migration patterns and health risks of per- and polyfluoroalkyl substances (PFAS) were investigated in 66 Chinese paper products by using target and non-target screening methods. Among 57 target PFASs, 5 and 6 PFASs were found in the hygiene paper products (

China is the top emitter of greenhouse gases in the world. Pulp and paper industry is one of eight the strictly regulated industries about carbon emission in China. However, estimates of carbon emissions from China's pulp and paper industry have been suffered from remarkable uncertainty. It is summarized that is aroused by the inaccuracy of factors evaluating energy consumption, and the huge gap between the calculation standards for assessing energy consumption in the production process and the actual level recorded in the factories. This paper re-evaluated the carbon emission of China's pulp and paper industry from the perspective of life cycle assessment, and applied more accurate emission factors, taking account of the actual energy consumption of the production process in factories, to estimate the actual carbon emissions in maximum. It is found that the national standards about the energy consumption quota of China's pulp and paper industry is no longer applicable, and the actual energy consumption regulated in the production process is far better than the advanced level given by the national standards. The greenhouse gas emission have been seriously overestimated approximately 12.00%–56.17% by international organizations. • Life Cycle Analysis of the China's pulp and paper Industry is conducted thoroughly. • The pulp flow of China's pulp and paper Industry is analyzed. • Energy regulated in factory is far better than the national standards' required. • Carbon emissions of China's pulp and paper Industry are overestimated. [ABSTRACT FROM AUTHOR]

Research on soil microplastics is currently at an early stage, and there is no widely approved sampling protocol. Even so, any basic research should minimize errors to ensure that they are not amplified in future research. This paper examines some weaknesses of the original research paper 'Soil microplastic pollution under different land uses in tropics, southwestern China' recently published in this journal. The authors neglected to report the equipment used for soil sampling and did not use field blank samples. There is also a soil layer that was incorrectly named. The type and pore size of filter paper used for filtration during pre-analytical soil sample preparation is very important. In this paper the nature of the filter paper used, and its larger pore sizes are questionable by today's scientists. In addition, the authors in the original paper also overlooked reporting the statistical package used for statical analysis and ensuring if all data sets obey normality, homogeneity, and equality before running the one-way ANOVA test. This statistical step is widely considered mandatory, especially in the soil science community. So, this makes it difficult to trust the results documented. Furthermore, in the original paper, the needle and stereo microscope instruments used to sort microplastic-like materials prior to proper analysis are not reliable. [Display omitted] • A dissecting needle and stereo microscope shouldn't be used to sort out soil microplastics. • Gold-coated filter paper with smaller pore size is better than nitrocellulose filter paper. • The 0–10cm is the top soil layer and 10–20cm is the subsoil layer not a deep soil layer. • The statistical package used for analysis must be documented accordingly. • If the dataset is a normal distribution prior to ANOVA testing, it must be confirmed and reported. [ABSTRACT FROM AUTHOR]

As a traditional energy and carbon intensive sector, it becomes imperative for the global paper industry to realize green development. This paper aims to provide guidance for the green transformation of global paper industry by evaluating the global paper industry green development level in a systematic and dynamic way. This paper employs text-mining method to develop paper industry green development evaluation indicator system and adopts market-extended LCA model and entropy-TOPSIS method to calculate the paper industry green development level of 48 countries/regions. The results show that during 2000–2030 the paper industry green development level of developing countries improves faster than developed countries, where those of developing and developed countries increase from 0.3369 to 0.3938 and from 0.5120 to 0.5517 respectively and the gap between them narrows from 0.1751 to 0.1579. The comparative analysis reveals that the paper industries of developed and developing countries are in different green development stages. Developing countries, represented by China, improve greatly in economic and social dimensions, but decline seriously in ecological dimension due to enlarging resource consumption and environmental damages. On the contrary, developed countries tend to saturate in economic and social dimensions and have been improving fast in ecological dimension, gradually realizing the decoupling of industrial economic development and environmental damages. To further promote the global paper industry green development, developing countries should focus on promoting the coordinated development between economic growth and environment protection and developed countries should play a leading role in the global green transformation by promoting optimal allocation of resources and cross-regional communications of green technologies. • A paper industry green development indicator system is developed based on text mining. • A global paper industry green development model is built with market-extended LCA. • Complex interactions among the indicators are internalized in the evaluation. • A spatial-temporal analysis is performed on global paper industry green development level. [ABSTRACT FROM AUTHOR]

As a traditional energy and carbon intensive sector, it becomes imperative for the global paper industry to realize green development. This paper aims to provide guidance for the green transformation of global paper industry by evaluating the global paper industry green development level in a systematic and dynamic way. This paper employs text-mining method to develop paper industry green development evaluation indicator system and adopts market-extended LCA model and entropy-TOPSIS method to calculate the paper industry green development level of 48 countries/regions. The results show that during 2000–2030 the paper industry green development level of developing countries improves faster than developed countries, where those of developing and developed countries increase from 0.3369 to 0.3938 and from 0.5120 to 0.5517 respectively and the gap between them narrows from 0.1751 to 0.1579. The comparative analysis reveals that the paper industries of developed and developing countries are in different green development stages. Developing countries, represented by China, improve greatly in economic and social dimensions, but decline seriously in ecological dimension due to enlarging resource consumption and environmental damages. On the contrary, developed countries tend to saturate in economic and social dimensions and have been improving fast in ecological dimension, gradually realizing the decoupling of industrial economic development and environmental damages. To further promote the global paper industry green development, developing countries should focus on promoting the coordinated development between economic growth and environment protection and developed countries should play a leading role in the global green transformation by promoting optimal allocation of resources and cross-regional communications of green technologies. • A paper industry green development indicator system is developed based on text mining. • A global paper industry green development model is built with market-extended LCA. • Complex interactions among the indicators are internalized in the evaluation. • A spatial-temporal analysis is performed on global paper industry green development level. [ABSTRACT FROM AUTHOR]

Urbanization and the release of carbon emission are two significant features of contemporary economic and social progress in China. However, there are few studies that consider how urbanization policy goals affect carbon emission. This paper aims to study the nonlinear effects of urbanization policy goals on carbon emission in 13 cities of the Beijing-Tianjin-Hebei region. In this paper, a multi-dimensional spatial disturbance grey model is proposed. Based on matrix perturbation theory, this paper explores the spatial perturbation bounds of the novel model and verifies that the spatial property of the model is consistent with the viewpoint of the First Law of Geography. Then, the novel model is used to predict the urban carbon emission under different urbanization policy goal scenarios. The results showed that the novel model has spatial regional correlation in spatial region prediction. With the development of urbanization level, carbon emissions show a downward trend in more than 50% of cities from 2022 to 2025. In addition, the improvement of urbanization policy goals will promote the carbon peak time of most cities. The carbon emission intensity will exhibit an inverted U-shaped trend distribution in space. The research results are conducive to providing scientific guidance for the formulation of new-type urbanization policies and helping to achieve the dual carbon goals. • A multi-dimensional spatial disturbance grey model is proposed. • The novel grey model is consistent with the viewpoint of the First Law of Geography. • The spatial distribution of carbon intensity showed an inverted U-shaped pattern. [ABSTRACT FROM AUTHOR]

As the global shipping industry experiences rapid expansion, the imperative to address greenhouse gas emissions and environmental impact becomes increasingly paramount. Hydrogen has emerged as a pivotal and eco-friendly energy source, offering a pathway towards carbon neutrality and a complete zero-carbon transition in maritime operations. However, the widespread adoption of hydrogen-powered ships hinges on the establishment of robust regulations and technical standards. This paper conducts a comprehensive examination of hydrogen fuel cell (FC) technology in ships, scrutinizing the role of international classification societies and exploring existing standards and regulations within the maritime industry, specifically centered around hydrogen energy. The study outlines a strategic developmental roadmap for a green shipping hydrogen energy system tailored for hydrogen FC-powered ships in China. Emphasizing the differences in hydrogen application between fuel cell vehicles and ships, the paper elucidates technical challenges unique to hydrogen FC-powered ships. Furthermore, it proposes a visionary framework for future technical standards, advocating for the creation of a ship-based hydrogen energy standard system, the development of core technical standards, and a heightened focus on safety regulations. Through comprehensive analysis and compelling argumentation on hydrogen fuel cell ship technology and standards, this paper underscores the indispensable role that technical standards play in propelling the advancement of environmentally friendly shipping. Beyond serving as an informative resource, the paper aims to provide valuable guidance and direction for the future demonstration, application, and promotion of hydrogen fuel cell ship technology. Ultimately, it underscores the pivotal role of technical standards in advancing sustainable maritime transportation. • Analyze hydrogen energy technical standards from the production, storage, safety. • Comparison of hydrogen energy technical differences between vehicles and ships. • Outline the unique challenges of applying hydrogen technology to ship operations. • Constructed a technical standard framework for future hydrogen energy ships. [ABSTRACT FROM AUTHOR]

This study presents a bibliometric review focusing on the utilization of water electrolysis as a means of generating hydrogen as an energy carrier. The analysis includes research conducted over the past decade, covering from 2014 to 2023 (till August). Several key aspects are highlighted, including publication trends, the leading country in research output, journal rankings, and a citation analysis of papers related to water electrolysis. The findings reveal a notable increase in publication trends, with China emerging as the leading contributor in this research area. Furthermore, the International Journal of Hydrogen Energy is identified as the highest-ranked journal in terms of both publication number and citation impact. Additionally, the top ten most cited research articles and review papers are investigated to determine their influence within the field. To gain a deeper understanding of water electrolysis methods, the three primary approaches: alkaline water electrolysis (AWE), proton exchange membrane (PEM) electrolysis, and solid oxide electrolysis (SOE) is examined. The analysis emphasizes that PEM electrolysis is the most prevalent method for hydrogen generation, particularly when integrated with renewable energy sources such as solar and wind power due to its rapid response to electrical input fluctuation. Finally, the challenges and future directions of water electrolysis in hydrogen production are highlighted, including an exploration of economic and environmental considerations at large scale, offering insights into the path forward for advancing this technology sustainably. • A comprehensive bibliometric analysis of water electrolysis for hydrogen production. • Publication trends, journal rankings, and citation analysis are highlighted. • China is identified as the leading contributor in water electrolysis publications. • International Journal of Hydrogen Energy: the highest-ranked journal in this field. • Specific electrolysis methods, including AWE, PEM, and SOE are examined. [ABSTRACT FROM AUTHOR]

• A system of indicators has been established for the high-quality economic development index developed by the Chinese government. • High-quality economic development is divided into five dimensions. • Reliance on the resource industry has significantly reduced the level of high-quality economic development. • The theoretical mechanisms of the impact of resource industry dependence on high-quality development are analyzed. • Government governance capacity weakens the impact of resource industry dependence on high-quality economic development. In resource-dependent regions, the meaning of high-quality economic development has yet to be clarified by published research, despite substantial scholarly interest in the topic. With the help of the economic development index developed by the Chinese government, this paper accurately measures high-quality economic development in 30 provinces in China and investigates how resource dependence and government governance capability affect regional high-quality economic development. Research has found that resource industry dependence has a significant inhibitory effect on high-quality economic development. Additionally, the analysis of the mechanisms revealed that resource industry dependence reduces high-quality economic development through a series of effects including crowding out innovation, weakening coordination, lagging green development, hindering global openness, and sharing in weakening. Further research has revealed that government governance capacity weakens the impact of resource industry dependence on high-quality economic development. A detailed analysis of three subsystem indicators of government governance capacity, namely policy planning, capability commitment, and performance assessment, indicates that they all have a weakening effect. To this end, the paper proposes policy recommendations, including increasing innovation inputs, advancing industrial restructuring, promoting green development, enhancing marketization levels, and constructing a diversified employment system. These measures aim to transform resource disadvantages into resource advantages and facilitate high-quality economic development. [ABSTRACT FROM AUTHOR]

This paper precisely estimates the looming demand for hydrogen within the transportation sector, spanning 14 pivotal G20 nations from 2022 to 2050, anchored in the global vehicle hydrogen market penetration rate. Employing a robust techno-economic modeling methodology and leveraging Geographic Information System (GIS) for enriched visualization, it unveils distinct environmental dividends across three thoughtfully devised scenarios: Business- as -Usual, Moderate, and Aggressive. Findings herald India and China as pinnacles of hydrogen demand, with South Korea and Japan tailing closely. The study forecasts the energy consumption for solar hydrogen production in G20 countries to oscillate between 3.02 and 2.89 million GWh in 2022, while production costs are anticipated to range from $8.47/kg to $10.01/kg. In an assertive scenario, the paper illuminates a pathway towards achieving a significant CO 2 reduction, unmasking environmental savings of up to a staggering 48%, equivalent to 1.5 million mtCO 2 , by 2050. [Display omitted] • Hydrogen demand of G20 countries is analyzed using GIS and techno-economic models. • The projected adoption rates of hydrogen vary among the G20 countries. • Solar energy is crucial in determining each region's annual energy demand. • China, US, and India have the highest solar potential throughout the year. • The environmental analysis shows 850–1.5 million mtCO2 total emissions by 2050. [ABSTRACT FROM AUTHOR]

• The process of automation could hinder political trust in government. • The impact results from unemployment, higher down-side risk and lower group participation. • The performance-based legitimacy structure in a developmental state may hinder its political legitimacy when promoting development. • The government should focus more on citizens' trust when pursuing technological development. • Social security is crucial for governance faced with fast technological advancement. The side effects of automation on the economy have been discussed frequently, but little is known regarding its political consequences. This paper examines the causal effect that automation induces on political costs for the local government. By combining the national individual-level panel data of political trust with the prefecture-level robot exposure rate in China, we find that the development of automation would reduce individuals' political trust in the Chinese local government. Furthermore, we explore the channels through which the automation process could affect political trust, namely the risk of unemployment, intensified pessimism about local government, higher downside risk, and declining organization participation. This paper provides empirical evidence for the impact of automation and the source of political legitimacy, emphasizing the crucial role of governments in coping with technological progress and making good use of endogenous creative destruction. [Display omitted] [ABSTRACT FROM AUTHOR]

There is now a growing interest in early-life influences on adult diseases in China. A number of birth cohorts have been established. This systematic review provided a better understanding of the development of mother–baby cohorts in China. Systematic review. We conducted a systematic review for research or profile papers in English/Chinese that reported data from mother–baby cohorts in mainland China, with ≥1y follow-up after birth. We identified 315 papers, corresponding to 31 cohorts from 19 provinces/megacities. All cohorts started in 1999–2017 (21 after 2010) and were set up with broad objectives or specific scientific focus. The baseline sample size varied, from <500 to >300,000 mothers. A majority of cohorts were initiated during pregnancy and followed children to <10y, only six to adolescence and none into adulthood. These cohorts mostly collected samples from mothers and babies, in addition to using interviews/questionnaires to collect information about pregnancy, birth and child health. Most cohorts were recruited from a single province/city. The large western region was understudied. Mother–baby cohorts have developed rapidly in China, but usually with a short follow-up duration. Extending the follow-up of children and developing cross-cohort collaboration will increase the diversity, size and coverage of the sample, allow studying early influences on life-course health and identify targets for early intervention in the Chinese population. [ABSTRACT FROM AUTHOR]

The identification of the technical cooperation mode in the field of hydrogen energy is of great importance in guiding technological innovation. Based on the social network analysis (SNA) and spatial network method, this paper constructs the technical cooperation graph of China's industry-university-research (IUR) tripartites in the field of hydrogen technology. Based on the performed graphs, it shows the game and evolution of hydrogen technology innovation in three stages, respectively 2000–2010, 2011–2015 and 2016–2019. Meanwhile, this paper calculates the changes of network indicators and found that: (1) the network density showed a downward trend, from the initial 0.062 to 0.003. (2) The degree centrality of the network decreased from 14.7% to 5.7%. (3) The average path length and clustering coefficient indicate that the internal connections within the network were relatively close from 2000 to 2010, and had small-world characteristics. From 2016 to 2019, although the clustering coefficient increased, the average path length also increased significantly, indicating that the internal connections of the network did not become closer. From the network characteristics, the collaborative innovation network of China's hydrogen energy industry continues to expand in scale and scope, and the cooperation relationship is stable. However, it shows the characteristics of low network density and loose cooperation relationship, gradually developing into a scale-free network. Developed provinces and cities in North and East China occupy core positions in the industry-university-research network, while other regions are gradually expanding their cooperation efficiency; however, the overall cooperation frequency is relatively low in Northeast China, and most provinces and cities in South and Northwest China are in edge positions with poor collaboration capabilities. • Network analysis sheds light on China's hydrogen energy tech cooperation via patent. • Collaborative innovation in hydrogen technology evolves through three stages. • Tight internal connections with small-world properties seen in network (2000–2010). • Network's internal connections didn't become closer (2016–2019). • Network transforms from a stable and expanding structure into a scale-free network. [ABSTRACT FROM AUTHOR]

The production of energy, food, water, and other utensils by fossil fuels generates pollution that causes constant climate change. To minimize and avoid this phenomenon, opting for less polluting energy production sources is increasingly necessary. Green hydrogen (H 2), a renewable and clean fuel, is analyzed in bibliometric terms in the present work, emphasizing photosynthetic H 2. The data were obtained through the journal database list in Web of Science, in which a total of 1507 was published between January 2010 to September 2022, dealing with the production of photosynthetic green hydrogen. The country with the most significant publication is China, with respectively 24.50% of the publications, and the Chinese Academy of Sciences has 60 co-authored papers, the largest in co-authorship—most papers published in the international journal of hydrogen energy, with 19.49% of the publications. The raw materials identified as emerging are cyanobacteria and microalgae, Rhodobacter capsulatus , synechocystis sp pcc6803 and Chlamydomonas reinhardtii pointed out as the microalgae of most significant interest. However, it is necessary to improve them, given the decrease in inactivity provided by the Calvin-Benson cycle. Life cycle assessment studies are needed, as well as H 2 storage. There is a need to reduce the levelized cost of H 2 production, which is around 9.65–25.22 USD/gallon. Studies also point to using cyanobacteria and microalgae to produce other biofuels (bioethanol biodiesel) and materials (supercapacitors, batteries, and polymers). [Display omitted] • Evaluation of the photosynthetic production of green hydrogen. • Analysis of 1507 papers from the Web of Science with CiteSpace, Vosviwer and Exell. • Advanced bibliometric analysis of future trends in the production of green hydrogen. • Using photosynthetic methods to produce biofuels. • Polymer production uses carbon dioxide and green hydrogen. [ABSTRACT FROM AUTHOR]

• The species profile of VOCs from abundant sources were presented. • The potential tracers of VOCs in different sources were identified. • Abundant α-pinene were found in solid wood furniture manufacturing. • T/X ratio can distinguish painting (<2) from printing (>2) sources. A survey was conducted of the volatile organic compounds (VOCs) released from sources of solvent use, industry activities and vehicle emissions in Guiyang, a capital city of China. Samples were collected by canisters and analyzed by GC-MS-FID. The species profiles of VOCs emitted from sources were obtained. Results showed that xylenes, ethylbenzene, acetone and dichloromethane were the characteristics species for painting, 2-propanol and ethyl acetate for printing, α-pinene for solid wood furniture manufacturing, and 2-butanone for biscuit baking. These characteristics species could be as tracers for the sources respectively. In most of samples from the solvent use, the benzene/toluene (B/T) ratio was less than 0.3, indicating that the ratio could be as the indicator for tracing the solvent use related sources. The results also suggested that the toluene/xylene (T/X) ratio be as the indicator to distinguish the VOCs sources of painting (<2) from the printing (>2). Aromatics contributed the most to ozone formation potential (OFP) of most painting and non-paper printing sources, and oxygen-containing VOCs (OVOCs) were major species contributing to OFP of the sources from food production and paper printing. The OFP of the VOCs emissions from vehicle in tunnels and from other manufactures were dominated by both aromatics and alkenes. The α-pinene could explain 56.94% and 32.54% of total OFP of the VOCs sources from filing cabinet and solid wood furniture manufacturing, which was rarely been involved in previous studies of VOCs source profiles, indicating that the species of concern for VOCs sources are still insufficient at present. [ABSTRACT FROM AUTHOR]

• Variable stiffness design for a 3-legged asteroid probe. • Landing dynamics for soft landing on the 2016HO3 asteroid is modeled. • Response surface surrogate model is established for optimization. • Variable stiffness leg and pressing force are optimized. China plans to launch a probe to detect and sampling on the near-Earth asteroid 2016HO3 around 2025. In view of this, this paper discusses an alternative landing strategy with passive variable stiffness landing gears, which help to land the probe stably on the asteroid for sufficient sampling time. First, a three-legged lander is introduced, following which, a four-bar-linkage-based variable stiffness leg is designed considering the design constraint of landing clearance. Then, a numerical model of the probe for landing simulation is established. Moreover, a surrogate model is obtained using the second-order response surface method (RSM) to improve computational efficiency. Based on the surrogate, the variable stiffness leg and the pressing force are optimized to reduce the impact forces at touchdown and the landing time. Finally, the optimal solution is validated using the dynamics analysis model. [ABSTRACT FROM AUTHOR]

This paper investigates the spillover effect of government locations on economic growth by exploring more than 180 relocation events of city governments in China. Empirical results demonstrate that government relocations improve regional economic growth measured by night lights. This positive effect decreases with the distance to city governments' new locations. Government relocations are also found to accelerate urbanization. Potential mechanisms include the changes in land conversion and firm birth patterns in the move-in areas. These results indicate that the relocation of local governments can be an effective place-based policy to improve economic growth and urbanization. [ABSTRACT FROM AUTHOR]

• Quantifying the impact of peer pressure on environmental improvements among local governments in China. • Investigating cities ' reaction to declining air quality rankings through regression discontinuity design. • Demonstrating the efficacy of political incentives in combating pollution and the catalytic effect of rankings on policy action. • Assessing the benefits resulting from air pollution reductions using an exposure response function. This paper estimates the impact of peer governmental pressure on air quality using a regression discontinuity design inherent in China's air quality ranking system. Because air quality rankings are important for political evaluations, local officials who witnessed a decline in air quality ranking are motivated to enforce more stringent environmental standards compared to their counterparts with increased rankings. By exploiting this regulatory discontinuity with monthly air quality ranking data from 2012 to 2020 of 169 cities, we find that cities experiencing a lower air quality ranking in the current month compared to the previous month exhibit a subsequent improvement in air quality during the following month, as evidenced by decreased pollutant concentrations. Furthermore, our analysis reveals that in cities where pollutant rankings decline more sharply, officials are less likely to encounter fewer promotion opportunities. Importantly, we observe that the discontinuity in individual pollutant concentrations is not solely influenced by their respective rankings but is also impacted by the overall A ir Q uality I ndex (AQI) ranking. Linking the reduction in air pollutants concentration with the economic benefits, a back-of-the-envelope calculation indicates the decrease in premature deaths due to cardiovascular and respiratory diseases amounts to approximately 200 thousand, resulting in an associated economic saving of more than 600 billion Chinese yuan. [ABSTRACT FROM AUTHOR]

• Present the employment effects of global value chain (GVC) sticky relationships. • Distinguish link-structure and circle-structure relationship between enterprises. • Make a distinction between domestic GVC employment and cross-border GVC employment. • GVC linkages are more stickier than interactions between domestic-owned enterprises. • Provide a Chinese story of whether GVC sticky relationships help stabilize employment. Global production beyond borders is becoming an invisible force for stabilizing employment, and the behaviour of firms featuring transnational corporations has become critical to the development of production. In this paper, we construct a systematic quantitative analytical framework of measuring global value chain (GVC) sticky relationships and analyze the steady growth of employment from the perspective of inter-firm interactions firstly, furthermore, provide the latest evidence from China. Our findings show that: multiple interactions between firms for that participate GVC contribute to the development of the GVC sticky relationships and promotion of employment growth, the GVC sticky relationship accounts for approximately 17.32 % of the total employment in China, and domestic GVC sticky relationship activities have become an important force in stabilizing and promoting employment growth in China, it surpasses cross-border GVC employment since 2008. Furthermore, we characterize the shape of GVC sticky relationships and find that the circle-structure relationship effect has greater potential to stabilize employment in China, particularly in the sectors of ICT, wholesale and retailor. Therefore, mitigating the transaction costs of participating in GVC by reducing institutional barriers in the process of firms' interactions is significant for maintaining the employment stability. [ABSTRACT FROM AUTHOR]

• A distribution dynamics approach is employed to examine the converge of TFEE across Chinese PAA level cities. • The findings show a clear convergence in TFEE. • Convergence comes more from efficiency drops in high TFEE cities than from efficiency gains in low TFEE cities. • The environmental protection polices in key cities improved energy efficiency. • Large-sized cities show better performance in energy efficiency than small- and medium-sized cities. Improving energy efficiency is considered the most direct route to reducing carbon emissions on a massive scale. To examine the long-run trend of China's energy efficiency, this paper employs a distribution dynamics approach to analyze the convergence of total-factor energy efficiency (TFEE) across 286 Chinese cities between 2002 and 2014. The result suggests the existence of convergence, which comes more from the efficiency declines in the high TFEE cities rather than the efficiency gains in the low TFEE cities. Despite the fact that a few cities have performed well in energy efficiency, the majority of cities have converged to a low-efficiency point. Further analyses show that the inefficiency was attributed to inefficient energy use in small- and medium-sized cities. Our analysis provides strong scientific support for China's ongoing energy conservation and environmental protection policies. [ABSTRACT FROM AUTHOR]

• Higher fertility rate induces more labor for childcare and thus crowds out labor for work. • The three-child policy slightly increases fertility intention. • The three-child policy increases emission abatement of the designed emission trading scheme. • In emission trading scheme, technological progress increases GDP and decreases total emissions. • The three-child policy strengthens technological impacts on GDP but weakens technological impacts on emissions. Although population growth plays a vital role in driving anthropogenic climate change, fertility impact on achieving mitigation target is usually overlooked in literature. This paper attempts to narrow the research gap by employing a Computable General Equilibrium (CGE) model to analyze the interrelations among fertility rate, fertility policy, and climate policy in China. The model results show that fertility rate negatively correlates with GDP and emissions because higher fertility induces more labor for childcare and thus crowds out labor for work. The three-child policy raises fertility intention; it does not unidirectionally influence the effects of the emission trading scheme (ETS) on employment and GDP, but it increases ETS emission abatement. Technological progress increases GDP and decreases emissions; the three-child policy strengthens technological impact on GDP but weakens technological impact on emissions. Hence, technological progress benefits emission mitigation; the three-child policy enhances economic benefits but impairs emission abatement of technological progress. [ABSTRACT FROM AUTHOR]

• Part of UN sustainable development goal 9 is upgrading production capabilities. • Increasing economic complexity is a key driver for sustainable economic growth. • Sequential model selection used for robust generalised method of moments estimation. • Chinese FDI evidently shows a positive impact on host countries' economic complexity. • Global policy makers should deepen their relationships with the belt and road. Upgrading the production capabilities in all countries is a target of the UN's 2030 Agenda for Sustainable Development Goal 9. Increasing economic complexity, that is, a country's ability to manufacture more sophisticated products and thus moving up the value chain, is a key driver for sustainable economic growth. This paper investigates whether Chinese Belt and Road investments have impacted the economic complexity of host countries — a topic not addressed in the literature to date, using a sequential generalised method of moments model selection approach. The research focuses on the countries whose economic complexities are below that of China. Our empirical results show significant positive effects of Chinese investments on such host countries' economic complexities. The inflows of Chinese investments have thus supported the upgrading of production capabilities in these countries. This is encouraging, especially for the Global South countries, to intensify their interactions with the Belt and Road initiative. [ABSTRACT FROM AUTHOR]

• We construct a multidimensional poverty index for chinese counties. • We establish a staggered DID model that controls for selection bias. • Highways significantly reduce county poverty. • The poverty-reduction effect of highways is conditional. • The poverty-reduction effect of highways diminishes with increasing altitude. This paper establishes a staggered difference-in-differences (DID) model to estimate the impact of highways on regional poverty using county-level panel data from China. We construct a multidimensional poverty index and use satellite-monitored night light brightness as a proxy indicator. The results demonstrate that highways significantly reduce county poverty and that the poverty reduction effect becomes increasingly pronounced over time. This result remains robust after controlling for non-random highway route selection. Furthermore, the poverty reduction effect of highways is conditional, with a significant poverty reduction effect in the less economically-developed western regions and non-municipal counties, and no significant poverty reduction effect in the economically-developed eastern and central regions and municipal districts. Moreover, the poverty reduction effect of highways gradually decreases as the average altitude of counties increases. Our tests provide empirical evidence for effective road investments in developing countries that incorporate poverty alleviation targets. [ABSTRACT FROM AUTHOR]

• Unveiling insights into the Chinese low consumption puzzle by emphasizing the impact of monopolistic and strategic land supply on the final consumption rate. • Monopolistic land supply suppresses the final consumption rate by expanding government income share and widening urban-rural income gaps. • Strategic land supply suppresses the final consumption rate by driving up the share of capital income and housing prices. • Reducing land transaction monopolies and optimizing supply structures can yield substantial benefits for economic rebalancing. The challenge of low consumption presents a complex development issue in China, one that has been insufficiently analyzed through the lens of land supply. This paper introduces a fresh perspective to the Chinese low consumption puzzle by shedding light on the constraints imposed by monopolistic/strategic land supply on the final consumption rate. Our findings reveal that China's distinctive land supply patterns systematically restrict consumption, as monopolistic land supply hinders total consumption by widening the share of government sector income and the urban-rural income gap. Additionally, strategic land supply curtails consumption by increasing the share of capital income and driving up housing prices. This study underscores the significance of land supply-side reforms in bolstering consumption, offering valuable policy insights for China and other transitioning economies. [ABSTRACT FROM AUTHOR]

With large volume of passengers boarding and alighting through subway platforms, the stations are getting crowded, resulting in drops in the level of service and safety concerns, especially for subway systems operating at capacity during peak hours. Thus, it is crucial for subway agencies to sense changes in travel demand and adjust their management schemes accordingly. In this paper we propose a statistical approach to estimate dynamic passenger flows with automated data. First, we develop a dynamic logistic model for calculating passenger tap-out times, which can be employed to infer passenger flow characteristics at the aggregate level. In addition, a new passenger-to-train assignment model for any subway route is derived based on the dynamic model. Subsequently, we apply an expectation-maximization algorithm to estimate the model parameters with automated fare collection and automated vehicle location data. Finally, a cross-validation method is employed to validate our approach with data obtained from several routes in Beijing subway system in China. Results of 95% prediction intervals indicate the effectiveness of the models and the proposed estimation methods. • Propose a dynamic logistic model for inferring and predicting subway passenger tap-out times. • Apply an expectation-maximization algorithm for model parameters estimation. • Develop a novel passenger-to-train assignment strategy. • No prior distributions of parameters or additional information required in the proposed methods. • Results show good effectiveness of the models and acceptable accuracy of the prediction methods. [ABSTRACT FROM AUTHOR]

Northeast China played an irreplaceable role in population migrations and cultural exchanges in East Asia during the Paleolithic. This paper collected 182 archaeological sites to analyse the characteristics of spatial-temporal variations of Paleolithic human activities in Northeast China, and explored the driving mechanisms behind these variations in combination with the paleoenvironmental and archaeological studies. During the Lower Paleolithic, constrained by the relatively cold-dry climate and blocked by the Songnen paleo-lake basin, the population was sparse and distributed only near 40° N at the southern end of Northeast China. Upon entering the Middle Paleolithic, as humans developed greater tolerance to cold climates and adopted more sophisticated survival strategies with the application of small lithic tools, their numbers increased and geographical distribution expanded northward to 45° N at the central region of Northeast China. The Upper Paleolithic saw a considerable increase in population and expansion across almost all of Northeast China except for the eastern Inner Mongolia Plateau. We speculated that 50 ka and 30 ka BP were two key points, both of which may be associated with a significant increase in the frequency of migrations and communications among humans, and the widespread popularity of highly mobile microblade technology, respectively. In addition, the environmental analysis of archaeological sites revealed a continuous spread of Paleolithic humans to areas with higher elevations, steeper slopes, and lower temperatures. Meanwhile, they were becoming less reliant on water resources and were more widely conducting activities in open-air areas, showing that the environmental adaptability had been continuously improving over time. This study can provide a reference for the reconstruction of the migration history of early humans in East Asia, and is also of great significance for a comprehensive understanding of the evolutionary process of early human-environment interactions. [ABSTRACT FROM AUTHOR]

This paper reveals that male-dominant social networks through alcohol drinking is an important determinant that hinders women ascending onto corporate boards. Specifically, exploiting China's anti-corruption campaign launched in 2012 as an exogenous shock to the business drinking interactions, we find that the policy-induced reduction in alcohol drinking significantly promotes board gender diversity in Chinese listed firms. Further evidence shows that the effect of reduced alcohol drinking on board gender diversity is more pronounced in cities with a higher intensity of anti-corruption investigations and cities with less severe gender discrimination. Our empirical findings support the "old boys' club" hypothesis, suggesting that male-dominant social networks hamper the access of qualified women to higher positions in the workplace. [ABSTRACT FROM AUTHOR]

This paper empirically investigates the impact of technology adoption on farmers' subjective well-being, as measured by happiness and life satisfaction. A theoretical framework is constructed to link farmers' subjective well-being to technology adoption, with a particular emphasis on mechanization services in agricultural production. By fitting a nationally representative panel dataset – China Family Panel Studies – into an endogenous switching regression model that addresses potential selection bias, we find that technology adoption leads to a 0.194 standard deviation increase in happiness and a 0.065 standard deviation increase in life satisfaction. Further analysis reveals that the effect is more pronounced for individuals engaged in off-farm employment and varies across farm sizes. To underpin the causal effect, we test three plausible mechanisms – absolute income, relative income, and leisure – which are well-documented in the literature for their correlations with happiness and life satisfaction. Our empirical analysis indicates that the adoption of agricultural mechanization services indeed increases the absolute income of farmers and allows them to allocate more time to leisure activities. [ABSTRACT FROM AUTHOR]

Conventional wisdom and evidence from democracies suggest that more education should increase voter turnout. This paper revisits this issue by analyzing turnout in China's rural elections. Employing an instrumental variable strategy, I find that more education reduces turnout in rural elections. I provide suggestive evidence that more educated people may face higher opportunity costs of voting, which explain about a quarter of cross-province variation in education-turnout links. I also discuss the role of other factors, including Confucian culture and election stakes. [ABSTRACT FROM AUTHOR]

Governments have implemented many regulations to solve traffic congestion and pollutant emissions. Traffic restriction (TR) policy is the most common and widely used traffic regulation. However, it is difficult to alleviate traffic pollution through TR policies. Only a few studies focus on TR policies in multiple cities. In this paper, we classify traffic restrictions by geographical factors and evaluate the impact of different policies based on PSM-DID first. Then, we classify the mixed restrictions and test their effects on air pollution. The results show that TR policy improves air quality regardless of the season. Moreover, the effect of TR policy is not affected by the superposition of the type of traffic restriction. For cities implementing the same TR policy, geographic factors can lead to different outcomes. This finding provides a reference for governments in reducing air pollution. • Traffic restrictions significantly affected air quality in different regions of China. • Cities implemented traffic restrictions have improved air quality in adjacent cities. • Effect of traffic restrictions does not depend on the number of mixed restrictions. [ABSTRACT FROM AUTHOR]

• The model for multiple horizontal wells considers heterogeneous fracture network. • The number of frac hits is determined by pressure differentials and derivatives. • Higher conductivity promotes inter-well pressure equilibrium. • Lower conductivity is beneficial to extended interference testing. Frac hits can significantly impact the final development results. Therefore, accurately and quickly understanding the frac-hit interference between wells is crucial for efficient development. At present, traditional pressure/production data analysis methods and numerical simulation methods can characterize the frac-hit interference. However, challenges such as quantitatively assess interference, high uncertainty in modeling parameters and computational time still exist. A quantitative evaluation method for the interference between wells with complex fracture networks has not been reported yet. This paper takes shale oil reservoir with three production wells as an example and establishes a semi-analytical model (frac-hit semi-analytical model, FSM) based on the linear flow characteristics. The model accurately characterizes the non-uniform distribution of complex fracture networks in the stimulated reservoir volume by introducing fractal theory. A quantitative evaluation index, interference coefficient, is defined to assess the interference. The coupled flow model is applied to evaluate the effects of interference in three typical wells in a continental shale oil field in China. We can see from the actual data fitting of the FSM model that the interference coefficients between target well A and adjacent wells B and C are 0.1 and 0.05, respectively, which means there are about 8–10 and 3–5 frac hits, respectively. Comprehensive analysis for the effects of interference shows that the current inter-well interference is beneficial for production in low-pressure areas but detrimental to new well production. Based on this, sensitivity analysis is generated to illustrate the relationship between the conductivity of combined fractures arising from hits and the interference coefficient. As the interference increases, the propagation of inter-well pressure accelerates, significantly reducing the time required for inter-well pressure equilibrium. The research findings have important guiding implications for the quantitative evaluation of inter-well interference in field operations of horizontal shale oil and gas wells and optimization of fracturing operations. [ABSTRACT FROM AUTHOR]

Yaozhou Kiln is a famous ancient center for celadon production in China, located in present-day Shaanxi Province. While analyzing its olive-green celadon produced during the Song Dynasty, a common occurrence of brownish base (foot and bottom) was observed. This phenomenon can also be found in porcelain produced at other kilns in China and Vietnam. However, previous research has not systematically explored the coloration mechanism behind it. Through different analytical methods, coupled with reproduction firing experiments, this paper concludes that the brownish base is attributed to the diffusion of iron from the body and sand cushion into the thinly applied glaze on the base, as well as the crystallization formed by the combination of the sand cushion and the surface glaze. Factors influencing the depth of the brownish color include: (1) the iron content of the body; (2) the thickness of the base glaze; and (3) the sand cushion material. [ABSTRACT FROM AUTHOR]

• A life cycle analysis on recycling and secondary use of lithium-ion batteries. • Based on the recycling in China, the LCA of different methods has been established. • Compared to other recovery, the secondary use has the lowest environmental impact. • Secondary use has the greatest impact on assessment results in dynamic situations. With the rapid development of the global new energy vehicle industry, how to minimize the environmental impact of the recovery has become a common concern and urgent concern. China is a major production and consumption market for electric vehicles, there are no specific and extensive resource and environmental assessment system for batteries. In this paper, the retired Electric vehicles lithium-ion batteries (LIBs) was the research object, and a specific analysis of the recycling treatment and gradual use stages of power batteries were based on life cycle assessment. Different battery assessment scenarios were established according to the development of battery recycling in China. The results showed that the secondary use has the optimal performance compared to the full-component physical, pyrometallurgical and hydrometallurgy recycling. The results showed that direct recycling has a GWP of 0.037 kg-CO 2 eq·kg LIB-1, which is lower than others. Secondary use of LIB accounts for the most emission reductions with Global warming (GWP) as 12.134 kg-CO 2 eq·kg LIB-1. The secondary use has the greatest impact on the assessment results, especially in dynamic scenarios. Through a comprehensive comparison of different recycling technologies, the secondary use, increasing the recycling rate, reducing resource, energy consumption and pollution emissions. [ABSTRACT FROM AUTHOR]

Satellite Laser Ranging (SLR) technology is one of the main technologies in the field of space geodesy, it has played an extremely important role in laser ranging data application and research. As a commonly used geodynamic satellites, the main contribution of LAGEOS and LAGEOS-2 is the solution of orbit determination and station coordinates. At present, there are 8 analysis centers of the International Laser Ranging Service (ILRS) to release the precise orbit products for the two LAGEOS satellites. However, there is currently no relevant research on the analysis of the consistency of these orbits. So, the authors would evaluate the accuracies of them, and the results show that the orbital accuracies of the two LAGEOS satellites are 3 ∼ 5 cm. SLR is regarded as one of the important input data of the International Terrestrial Reference Frame (ITRF), the analysis center of ILRS provides weekly solutions of station coordinates for ITRF. But, due to the limitation of SLR observation conditions, for example most observations of Chinese SLR stations can be made at night, and laser ranging test cannot be conducted in rainy days, the orbit solution of the seven-day arc may have the problem of less data. Therefore, this paper proposed a method for computing the station coordinates based on long arc orbit determination, and we developed the LAODGEO software (Long Arc Orbit Determination Software for Geodynamic Satellite), which is used to solve the orbits of two LAGEOS satellites and station coordinates of five SLR stations in China. The results show that the obtained orbital precision is basically superior to 3.70 cm, and the 3DRMS values between station coordinates solved by us and the coordinates published by SLRF2014 are mostly smaller than 0.013 m, which is consistent with research results domestic and overseas. [ABSTRACT FROM AUTHOR]

At present, two subsidy policies, which are based on electric vehicle (EV) consumers and EV charging station firms, have been widely implemented in different areas in China to promote EV adoption. However, the effectiveness of subsidy policies is significantly influenced by the indirect network and herd effects, depicting the positive impacts of the numbers of energy infrastructure firms and the sales of vehicles on consumers' utilities, respectively. Taking the aforementioned effects into consideration, this study examines the optimal subsidy policies by developing a Stackelberg game model. The game model analyzes the interaction and decisions of multiple stakeholders (i.e., consumers, energy infrastructure firms, EV and gasoline vehicle manufacturers, and the government). Interestingly, we find that a stronger herd effect will promote EV sales when the unit production cost of EVs is low; however, it will hinder EV sales when the unit production cost is high. Besides, we compare the effectiveness of the two subsidy policies for promoting EV adoption, reducing environmental impacts, and increasing the social welfare. Findings show that the effectiveness of subsidy policies highly depends on the extent of the indirect network and herd effects. Specifically, compared with EV consumers-based subsidy policy, EV charging station firms-based subsidy policy will be more effective in only two conditions: a weak indirect network effect and a strong herd effect. Otherwise, the EV consumers-based subsidy policy will be more effective. The findings of the paper are helpful in enhancing the effectiveness of subsidy policy in China. • Government subsidy cannot always promote electric vehicle adoption. • The indirect network and herd effects affect the effectiveness of subsidy policy. • A stronger herd effect will not always promote electric vehicle sales. • Either consumers or charging station investors can be the best subsidy object. [ABSTRACT FROM AUTHOR]

Many studies have investigated the spatial variations of the ionosphere, but the quantitative characteristics of the ionosphere are rarely reported. In this paper, we utilize the total electron content (TEC) data to evaluate the latitudinal gradient of the ionosphere within 10°-50° N over the China sector. It is found that the magnitudes of latitudinal gradient are significantly higher within 10°-40° N and 45°-50° N, respectively. The database of TEC from 1 November 2018 to 31 October 2022 is processed to figure out the local time, seasonal, and solar activity dependency of the latitudinal gradient. The results suggest that the gradient within 10°-40° N is higher in the daytime and during high solar activity period. They are more noticeable in the spring and autumn, and least visible in the summer. Conversely, the gradient within 45°-50° N strengthens in the nighttime and under lower solar activity, and has larger values in the summer months. Furthermore, the International Reference Ionosphere (IRI-2020) model is assessed in terms of the reproducibility of latitudinal gradient. The IRI-2020 basically represents the latitudinal gradient within 10°-40° N, whereas it overestimates the gradient in the low solar activity period and misses the gradient features near 45°–50° N. [ABSTRACT FROM AUTHOR]

• Research progress of observation-based ozone formation sensitivity is reviewed. • Threshold values for Photochemical Indicator methods need to be localized. • Reaction mechanisms and monitoring capability need to be improved for OBM. • Ozone formation sensitivity in China presents the gradual shifting tendency. • Dynamic regulation capability for ozone pollution control needs to be built. Observation-based method for O 3 formation sensitivity research is an important tool to analyze the causes of ground-level O 3 pollution, which has broad application potentials in determining the O 3 pollution formation mechanism and developing prevention and control strategies. This paper outlined the development history of research on O 3 formation sensitivity based on observational methods, described the principle and applicability of the methodology, summarized the relative application results in China and provided recommendations on the prevention and control of O 3 pollution in China based on relevant study results, and finally pointed out the shortcomings and future development prospects in this field in China. The overview study showed that the O 3 formation sensitivity in some urban areas in China in recent years presented a gradual shifting tendency from the VOC-limited regime to the transition regime or the NO x -limited regime due to the implementation of the O 3 precursors emission reduction policies; O 3 pollution control strategies and precursor control countermeasures should be formulated based on local conditions and the dynamic control capability of O 3 pollution control measures should be improved. There are still some current deficiencies in the study field in China. Therefore, it is recommended that a stereoscopic monitoring network for atmospheric photochemical components should be further constructed and improved; the atmospheric chemical mechanisms should be vigorously developed, and standardized methods for determining the O 3 formation sensitivity should be established in China in the near future. [Display omitted] [ABSTRACT FROM AUTHOR]

The close-coupled selective catalytic reduction (cc-SCR) catalyst is an effective technology to reduce tailpipe NOx emission during cold start. This paper investigated the optimal ammonia storage under steady and transient state in the cc-SCR. The study showed that a trade-off between NOx conversion efficiency and ammonia slip is observed on the pareto solutions under steady state, and the optimal ammonia storage is calculated with ammonia slip less than 10 µL/L based on the China Ⅵ emission legislation. The rapid temperature increase will lead to severe ammonia slip in the transient test cycle. A simplified 0-D calculation method on ammonia slip under transient state is proposed based on kinetic model of ammonia adsorption and desorption. In addition, the effect of ammonia storage, catalyst temperature and temperature increasing rate on ammonia slip are analyzed. The optimal ammonia storage is calculated with maximum ammonia slip less than 100 µL/L according to the oxidation efficiency of ammonia slip catalyst (ASC) downstream cc-SCR. It was found that the optimal ammonia storage under transient state is much lower than that under steady state in cc-SCR at lower temperature, and a phase diagram is established to analyze the influence of temperature and temperature increasing rate on optimal ammonia storage. [ABSTRACT FROM AUTHOR]

• Evolution of molecular structure of handmade papers in aging process is traced by two-dimensional correlation spectroscopy. • Quantitative changes of molecular and supramolecular structures of Kaihua handmade papers in aging process are presented. • The degradation mechanism of Kaihua handmade paper in dry-heat and wet-heat aging process is revealed. • Correlations between the microstructural evolution and macroscopic deterioration are explained. Valued for its toughness and durability, Kaihua paper has been famous in China since the Qing Dynasty. It attracts great attention on the extension of paper life. Understanding of the complex degradation behavior of handmade paper under various aging conditions is an essential precondition for preparing long-life handmade paper. However, it is still difficult to explain the reactions sequence of cellulose microstructure and its relationship with the macroscopic deterioration of handmade paper. Herein, different types of Kaihua handmade papers, produced by various raw materials and crafts, were artificially aged. The evolution of their multi-scale structures in dry-heat (DH) and wet-heat (WH) conditions was explored systematically. Two-dimensional correlation spectroscopy (2D-COS) distinguished possible carbonyl vibrations involving hydrolysis and oxidation of cellulose and gave sequential changes of various carbonyl groups, illustrating different evolutionary behaviors of molecular structure of papers in DH and WH aging process. The energy and distance of hydrogen bond, crystal size and microfiber accessibility were quantitatively calculated during the degradation of cellulose. In addition, correlations between microstructural evolution and macroscopic deterioration of handmade papers involving reduced mechanical properties and yellowing were revealed. The current results will help to establish a platform for the multi-scale detection of handmade paper and improve the understanding of the degradation mechanism of handmade paper under different reaction paths. It also provides useful foundation on the preparation of long-life paper and the conservation of paper-based culture relics. [ABSTRACT FROM AUTHOR]

In order to help control the spread of space debris and junk, deorbit sail devices have been used for deorbiting techniques; however, this approach is still considered risky due to potential failure or malfunction as it need to be exposed to the harsh space environment for a prolonged period of time, particularly in low-Earth orbit. China has made new strides forward in managing space junk, as it has successfully unfolded a 25-square-meter deorbit sail developed by the Shanghai Academy of Spacecraft Technology in-orbit for the payload capsule of a recently launched rocket. Accordingly in this paper, a full life-cycle modelling based on Monte Carlo method is developed to reveal the damage behavior of the 25-square-meter deorbit sail surface under the combined effects of atomic oxygen erosion and deorbit sail defects. The simulation results show that as the atomic oxygen fluence increases and the material defect width widens, the interaction effect of the two factors becomes more and more pronounced, which decisively influences the erosion rate of the sail surface. Morphological characterization of aluminized film PET material, activated silanisation modified material and plasma-polymerization coating material before and after atomic oxygen erosion combined defects is carried out and the atomic oxygen erosion of the deorbit sail surfaces is quantitatively assessed. The assessment results show that compared to the PET material and activation silanisation surface modification material, the plasma polymeric coated material showed much better flexibility, folding resistance and irradiation resistance to prevent geological fold and to shield from the atomic oxygen erosion in space. The atomic oxygen erosion combined defects assessment method studied in this paper provides valuable reference data for the subsequent serialisation of deorbit sail products and other typical lightweight film materials for space applications. • Introduction of Monte Carlo method for material surface damage simulation analysis. • Compare the performance of off-orbit sail surface materials under different protection treatments. • Standardize the process of space flexible film material performance evaluation system. [ABSTRACT FROM AUTHOR]

This paper proposes a novel aviation CO 2 emissions reduction method by introducing a market-based incentive mechanism. An aviation carbon emissions prediction model is proposed to characterize both the microscopic flight dynamics and the macroscopic air traffic demand trend. Based on emissions prediction, a linear climate response model is applied to evaluate the environmental impact of the aviation carbon emissions. Finally, a market-based framework for aviation CO 2 emissions reduction is established based on a two-phase carbon trading model, which provides a piecewise charge method through emission taxation and cap-and-trade. A case study is carried out to demonstrate the effectiveness of the proposed framework using a real-world dataset from the Hefei Air Traffic Control Zone in China. Three scenarios are defined to describe the possible development speed of sustainable aviation fuel application in the future: not applied, medium-speed development, and high-speed development. The results show that the carbon peak will be reached in 2025 in the high-speed development scenario, when the emission amount and associated environmental impact will be reduced by 23.7% and 22.3%, respectively. Thus, the market-based framework proposed in this paper can effectively reduce aviation CO 2 emissions and mitigate the effects of global warming. • An aviation CO 2 emissions prediction model is proposed considering both microscopic flight dynamics and macroscopic traffic demand. • A more efficient market-based CO 2 emission reduction framework is developed based on a two-phase carbon trading model by means of taxation and cap-and-trade. • Case study shows that the proposed method has a more optimal incentive for CO 2 emission reduction. [ABSTRACT FROM AUTHOR]

At present, scholars hold two opposite views on the spatial impact (i.e., positive and negative impact) of high-speed rail (HSR) on tourism economy. To better explore the spatial impact of HSR on tourism economy, this paper uses the difference-in-differences (DID) to empirically test the causal effect of HSR and tourism economy, specifically by using the panel data of cities in Northeast China from 2010 to 2018 as research sample. On the whole, empirical results show that HSR has become an important factor in promoting the development of tourism economy. The impact of HSR on tourism economy in different years indicates that with the continuous promotion of HSR, the effect of HSR-driven tourism economy has become increasingly evident. On this basis, this paper classifies cities according to different types and finds that compared with ordinary prefecture-level cities, central cities are more affected by HSR. Compared with cities with high abundance of tourism resources, cities with low abundance of tourism resources are more affected by HSR. Therefore, current article is convinced that while seizing the opportunity of HSR, cities should actively avoid the negative impact brought by the development of HSR and truly promote the balanced development of regional tourism. • We provide a broader understanding of the issue of HSR and tourism economy through detailed data and quantitative evidence. • Taking Northeast China as an example, the positive effect of HSR on tourism economy in underdeveloped regions is verified. • The impact of HSR on the tourism economy in Northeast China is heterogeneous. • The findings provide support for synergistic HSR planning and tourism development. [ABSTRACT FROM AUTHOR]

Daytime subambient radiative cooling is a most promising alternative to electricity-free building cooling. However, optical performance degradation arising from surface contamination and inevitable parasitic heat gain still pose unprecedented challenges to cool building at subambient temperatures. This paper proposed a superhydrophobic cellulose aerogel cooler (SHB-CAC) as building envelope by integrating self-cleaning capacity, passive daytime radiative cooling and thermal insulation to reduce environmental heat gain. The SHB-CAC demonstrates high solar reflectance (93%) and long-wave infrared emittance (91%), accomplishing a temperature drop of 8.5 °C lower than the ambient under sunlight of 800 W/m2 in the outdoor experiment. Notably, the SHB-CAC possesses low thermal conductivity (28 mW/(m∙K)) that suppresses parasitic heat gain from warmer surrounding and reduces cooling energy consumption. The self-cleaning property resulting from superhydrophobicity protects SHB-CAC from water wetting and dust contamination but also maintains its good surface radiation capacities under different humidity environment. A building energy simulation was conducted and results showed that 43.4% of cooling energy on average could be saved compared to the building baseline consumption, if SHB-CAC was widely used in China, indicating that the strategy of optical and thermal conductivity management of cooler has the potential to reduce the energy consumption of buildings. [Display omitted] • Waste paper is converted into aerogel cooler for building cooling. • High R solar and ε IR , thermal insulation, and self-clean are achieved in one design. • The aerogel achieves a high sub-ambient temperature drop of ∼8.5 °C on daytime. • The aerogel shows that 43.4% of cooling energy could be saved. [ABSTRACT FROM AUTHOR]

Aflatoxin B 1 (AFB 1) is a powerful carcinogen, and the pollution it causes has become a global public health safety issue. Therefore, microfluidic paper-based analytical devices (μPADs) with smartphones to read colorimetric signals were constructed for rapid AFB 1 detection. The colorimetric mechanism of μPADs was based on the common starch–iodine reaction, and the addition of gelatin/chitosan enhanced the colorimetric effect. During detection and analysis, the competitive analysis occurred in the process of AFB 1 monoclonal antibody's recognition of free AFB 1 and functionalized antigen. The glucose oxidase-labeled IgG was used as the secondary antibody. Hydrogen peroxide, an oxidation product of the glucose, caused a chroma change in μPADs. Simultaneously, the change in chroma was consistent with the change in AFB 1 concentration. Under the best optimized conditions, the limits of detection and quantitation of AFB 1 in the buffer were 9.45 and 12.00 ng mL−1, respectively. A comparison of the detection performance of commercial kits with that of the method introduced herein confirmed the superiority of our method in actual food samples with known AFB 1 concentrations. This colorimetric μPADs analysis met the detection requirements of some countries, such as China, and had great potential for development in the direction of daily extensive food safety control and environmental monitoring. [Display omitted] • Portable and low-cost smartphone-based microfluidic paper-based analytical devices (μPADs). • The colorimetric μPAD detection system can detect aflatoxin B1 as low as 9.45 ng mL−1 through Lab data analysis. • The colorimetric mechanism is based on the common starch–iodine reaction. • The addition of gelatin and chitosan mixture enhances the colorimetric effect. [ABSTRACT FROM AUTHOR]

[Display omitted] • In-field measurement of nitrite as carcinogen is important for food safety. • A fully integrated colorimetric detection system for nitrite is offered. • APP is combined with DCNN as visual monitoring platform. • Validity period of test paper is prolonged from 7 d to more than 30 d. • The accuracy of food classification is high as 91.33–100% Nitrite is one of the most common carcinogens in daily food. Its simple, rapid, inexpensive, and in-field measurement is important for food safety, based on the requirements of the standard from Codex Alimentarius Commission and China. Using polyacrylonitrile (PAN) and thin layer silica gel (SG), p-aminophenylcyclic acid (SA) and naphthalene ethylenediamine hydrochloride (NEH), as carriers and chromogenic agents, respectively, PAN-NSS as nitrite color sensor is proposed. After fixing and protecting of SA and NEH with layer-upon-layer PAN, the validity period of the test paper can be prolonged from 7 days to more than 30 days. The reproducibility of PAN-NSS preparation is ensured by electrospinning. Combined with PAN-NSS, deep convolutional neural network (DCNN) and APP as a visual monitoring platform, which has the functions of rapid sampling, data processing and transmission, intuitive feedback, etc., and provides a fully integrated detection system for field detection. [ABSTRACT FROM AUTHOR]

• A paper-based multi-biocatalyst platform was successfully constructed. • Nanoporous gold with unique properties was used as supporting material. • Three different markers can be integrally detected by the multi-biocatalyst platform. • The reliable detection of L. monocytogenes was successfully realized. As biomarkers for pathogenic Listeria monocytogenes , the detection of gene hly , acetoin, and listeriolysin O (LLO) is of great significance for preventing L. monocytogenes infection and diagnosing Listeriosis. Here, a portable paper-based multi-biocatalyst platform was constructed to identify L. monocytogenes by detecting multiple biomarkers at different levels: gene hly (nucleic acid), acetoin (small molecule metabolite), and LLO (protein). The integrating detections of the three biomarkers were successfully performed by two different modified working electrodes on a single paper-based multi-biocatalyst platform. The sensitive and reliable identification of L. monocytogenes was achieved using the portable paper-based multi-biocatalyst platform with wider detection range (from 1.0 × 104 to 1.0 × 109 CFU mL−1) and lower detection limit (104 CFU mL−1). Additionally, the simpler detection procedure and shorter detection time (2 h) endows the portable platform a better detection performance compared with National Food Safety Standard Method (China-GB 4789.30-2016). Moreover, the results detected by the portable platform in spiked samples were consistent with that obtained by the real-time quantitative polymerase chain reaction method, indicating a good application potential. These unique characteristics suggest that the portable platform provides a reliable identification method for L. monocytogenes. [ABSTRACT FROM AUTHOR]

Electric vehicles (EVs) are widely recognized as low-carbon transportation that adopts green and clean technology with contributing to mitigating global climate change. However, it appears that the practice in using EVs has not gained widespread popularity despite the promotion of various incentives with the presence of various restricting factors and challenges. In conducting this study in the context of China, we hypothesize that restricting factors have varying impacts on promoting EVs in China, where the adoption of EVs is of great potential. This paper identifies these restricting factors by applying AHP-FCE integrated approach, and these factors are classified into five dimensions, namely, technical, infrastructural, economic, governance and social. The results indicate that the top five restricting factors are security issues, limited driving range, long charging time, improper distribution of charging stations and lack of sharing between charging piles respectively. Our research contributes to a better understanding of EV restricting factors and their significance, which offers the assistance in the formulation of policies and decisions in order to promote effectively EVs in China. • The promotion of EVs is of great potential in China for mitigating global climate change. • Explore the RFPEVs in China using AHP-FCE integrated approach. • The RFPEVs in China can be classified into five dimensions, namely, technical, infrastructural, economic, governance and social. • The technical and infrastructural related are the most important constraints. • The main three important restricting factors are security issues, limited driving range, long charging time. [ABSTRACT FROM AUTHOR]

This paper examines the effect of bilateral air connectivity on bilateral service trade flows. Our service trade data includes 'commercial', 'transport', 'travel', and 'government' services. We developed a reduced-form gravity-type model using the Chinese data. An instrument variable (IV) approach is adopted to address the endogeneity issue between bilateral air connectivity and the service trade variables. Our key results are: (a) increasing the number of direct routes can significantly promote bilateral service export and import trades; (b) the average route-level traffic density has only marginal positive effects; (c) improving air connectivity would enlarge China's overall service trade deficit, because the transport and travel services imports are promoted more than their exports; (d) The 'commercial' service exports can be stimulated more than the imports, making China achieve larger commercial service trade surplus by improving bilateral air connectivity. •Increasing the number of direct air routes significantly promotes bilateral service trades in China. •Improving air connectivity enlarges China's overall service trade deficit. •Enhancing bilateral air connectivity stimulates China's commercial service exports more than imports. •China's growing international air transport, facilitated by the Belt-and-Road Initiative, has had a substantial impact on bilateral service trade. [ABSTRACT FROM AUTHOR]

This paper investigates the ionospheric responses to the February and April 2023 geomagnetic storms using Total Electron Content (TEC) derived from the 10 Global Navigation Satellite System (GNSS) stations at the transition of low to mid-latitudes (Approx. 20 ∼ 30°N) across different longitudes in the American and Asian sectors. Significant variations in both sectors were recorded during the recovery phase and were mainly attributed to the Prompt Penetration Electric Field (PPEF), Disturbance Dynamo Electric Field (DDEF) and the thermospheric neutral composition changes as O/N 2 depletion. Similarly, the American and Asian sectors showed TEC enhancements, primarily attributed to the PPEF, during the main phase of the April storm. The negative TEC variations during the recovery phase were observed due to the DDEF and changes in O/N 2. In the Asian sector, positive and negative variations were recorded over Pakistan and China, respectively, during the main phase of the April storm. These variations resulted in high and low concentrations of the O/N 2 ratio due to Magnetosphere-Ionosphere-Thermosphere coupling. [ABSTRACT FROM AUTHOR]

Livable environment and ways, as the necessary conditions for the elderly to enjoy their old age, have a significant impact on their mental health and happiness. It's crucial to understand how living arrangements affect depressive symptoms in China. Studies on how various leisure activities modify this association are yet limited. This study relies on panel data derived from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), collected during waves spanning 2008/2009, 2011/2012, 2014, and 2018. The primary objective is to examine the relationship between living arrangements, leisure activities, and depressive symptoms of elderly individuals. Linear mixed-effects models were used to analyze the data. A total of 26,342 observations aged 65 and over were included in this paper. Older adults living alone (β = 0.66, 95 % CI: 0.55, 0.76) or living in institutions (β = 0.69, 95 % CI: 0.40, 0.98) had more depressive symptoms than those living with family. Leisure activities were negatively associated with depressive symptoms (β = −0.16, 95 % CI: −0.18, −0.15). Moreover, there was significant interactions between living arrangements and leisure activities. No matter which kind of living arrangements, participating in physical, productive or social activity was associated with a lower risk of depressive symptoms. Study design might introduce bias, and it cannot establish causality between the tested variables. Older adults living alone or in institutions have more possibility to develop depressive symptoms than those living with family, and such a relationship among Chinese older adults can be moderated by participating in leisure activities. • Older adults living alone or in institutions had more depressive symptoms than those living with family. • Participation in leisure activities showed a negative association with depressive symptoms. • There were significant interactions between living arrangements and leisure activities. • Whatever the life arrangements, participating in leisure activities was related to a lower risk of depressive symptoms. [ABSTRACT FROM AUTHOR]