摘要：
Structural components represent major contributors to embodied carbon emissions of buildings. While there have been numerous research efforts dedicated to modelling and assessing the embodied carbon impact of buildings, there is a conspicuous gap in research that concurrently examines various material options in building structural designs, accounting for technical, economic, and carbon implications. In this study, an integrated approach is applied to assess the embodied carbon and life cycle cost impacts of three different building structures, i.e., timber-framed (TF), steel-framed (SF), and the timber–steel composite (TSCF) framed, scaffolded with Finite Element Analysis (FEA) simulations for a strength and stability analysis of different design options. A lightweight frame-structured residential building type is examined as the data source for the modelling and simulations. The results of a comparative scenario analysis highlight that both TF structures and TSCF structures have notable advantages over their SF counterparts for embodied carbon saving and building load reduction. Assessment results indicate that the TF design offers 35.56% embodied carbon reduction, followed by the TSCF design with 8.12% decarbonization, compared to the SF design. The lifecycle cost assessments also reveal the promising cost saving potential of TF and TSCF structures for the application, with cost savings of up to 7.93% and 4%, respectively. Meanwhile, the simulations further demonstrate that TSCF materials in particular can have significant benefits for lightweight building structures in overcoming the deflection problem of long TF components and the buckling of thin-walled SF members. The results help to identify the potential of TSCF structures to minimize the material use for a “Build with Less” through design optimization, which can lead to further embodied carbon and lifecycle cost reductions.
期刊：
International Journal of Environmental Research and Public Health,2023年20(2):1112- ISSN：1661-7827
通讯作者：
Dandan Li
作者机构：
[Xiong, Zhiqiao] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha 410076, Peoples R China.;[Li, Dandan] Hubei Univ Econ, Sch Low Carbon Econ, Wuhan 430205, Peoples R China.;[Li, Dandan] Hubei Univ Econ, Collaborat Innovat Ctr Emiss Trading Syst Coconstr, Wuhan 430205, Peoples R China.;[Yu, Hongwei] Wuhan Univ, Inst Qual Dev Strategy, Wuhan 430072, Peoples R China.
通讯机构：
[Dandan Li] S;School of Low Carbon Economics, Hubei University of Economics, Wuhan 430205, China<&wdkj&>Collaborative Innovation Center for Emissions Trading System Co-Constructed by the Province and Ministry, Hubei University of Economics, Wuhan 430205, China<&wdkj&>Author to whom correspondence should be addressed.
摘要：
The potentially serious economic consequences of China's severe air pollution problem cannot be overlooked, especially the impact on corporate innovation, which is a core driver guiding firms towards efficient and high-quality development. This paper explores the direct effect and mechanism of PM2.5 on firms' innovation output through the identification strategy of instrument variable. Based on the data of Listed Companies in China from 2003 to 2016, we used thermal inversion as the instrument variable for PM2.5 for estimation. The results show that each 1 ug/m(3) increase in PM2.5 concentration causes an average reduction in innovation output of listed companies by about 7.0%. The test of "Porter hypothesis" shows that environmental regulation has not encouraged firms to innovate more. We further used the 2013 China Social Survey (CSS) data to verify the human capital mechanism of PM2.5 affecting firm innovation at micro level. The results show that PM 2.5 deteriorates the healthy human capital in a firm, which reduces the innovation output. This article helps to understand the relationship between air pollution and firms' innovation and to develop appropriate policies.
期刊：
EUROPEAN JOURNAL OF FINANCE,2023年29(9):949-976 ISSN：1351-847X
通讯作者：
Xin Yang
作者机构：
[Yang, Xin; Deng, Yunke; Huang, Chuangxia] Changsha Univ Sci & Technol, Sch Math & Stat, Hunan Prov Key Lab Math Modeling & Anal Engn, Changsha, Peoples R China.;[Yang, Xin; Huang, Chuangxia] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha, Peoples R China.;[Deng, Yunke] Univ Chinese Acad Sci, cSch Econ & Management, Beijing, Peoples R China.;[Yang, Xiaoguang] Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China.;[Cao, Jinde] Southeast Univ, Sch Math, Nanjing, Peoples R China.
通讯机构：
[Xin Yang] S;School of Mathematics and Statistics, Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering, Changsha University of Science and Technology, Changsha, People’s Republic of China<&wdkj&>School of Economics & Management, Changsha University of Science and Technology, Changsha, People’s Republic of China
关键词：
Financial crisis;complex network;Laplacian energy;network structure;seasonal-trend decomposition procedure based on loess (STL)
通讯机构：
[Yun Lin] C;College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
spectrum resources;big data analysis and prediction;graph;spatial correlation;deep learning
摘要：
In the field of wireless communication, the increasing number of devices makes limited spectrum resources more scarce and accelerates the complexity of the electromagnetic environment, posing a serious threat to the sustainability of the industry's development. Therefore, new effective technical methods are needed to mine and analyze the activity rules of spectrum resources to reduce the risk of frequency conflict. This paper introduces the idea of graphs and proposes a spectrum resource analysis and prediction architecture based on big data. In this architecture, a spatial correlation model of spectrum activities is constructed through feature extraction. In addition, based on this correlation model, a depth learning network based on graph convolution is designed, which uses the prior information of spatial activity to achieve the efficient prediction of spectrum resources. Numerical experiments were carried out on two datasets with different spatial scales. Compared with the best baseline model, the prediction error is reduced by 8.3% on the small-scale dataset and 11.7% on the large-scale dataset. This shows that the proposed method is applicable to different spatial scales and has more obvious advantages in complex scenes with large spatial scales. It can effectively use the results of spatial domain analysis to improve the prediction accuracy of spectrum resources.
摘要：
OBJECTIVE: Driving comfort is crucial for tunnel safety because tunnel sections on freeways often introduce significant environmental changes that can compromise comfort and increase the risk of traffic accidents. This study aimed to quantitatively evaluate the driving comfort in tunnel sections and its implications for safety management. METHODS: Four indicators were used to assess the driving comfort: heart rate growth rate (Hrgr), skin conductance response (SCR), speed, and acceleration. The CRITIC weighting method was employed to calculate a quantitative driving comfort score, and the presence and severity of discomfort were used to evaluate the safety of each tunnel area. In addition, the evaluation was based on a naturalistic test consisting of Hrgr, SCR, speed, and acceleration data. A total of 32 participants were recruited based on a web-based questionnaire screening process, after which they were tested while driving through 30 tunnel sections on the roadway. These 30 tunnels included 14 short (< 500 m), 12 medium (500-1,000 m), and 4 long (1,000-3,000 m) tunnels. RESULTS: The results revealed that the four selected indicators exhibited minimal multicollinearity and effectively captured the driving comfort. Among the indicators, SCR had the most significant contribution to the driving comfort score. Most drivers did not experience substantial discomfort while driving through tunnels. The area where drivers were most susceptible to discomfort was the middle zones of tunnels. However, drivers were more likely to experience strong discomfort in the outside exit, entrance, and middle zones of short, medium, and long tunnels, respectively. CONCLUSIONS: This study provides a comprehensive set of safety evaluation methods for tunnel sections on freeways, with a focus on quantifying the driving comfort. The findings provide theoretical support for freeway management personnel in implementing personalized controls in different tunnel areas with the aim of enhancing tunnel safety and mitigating the occurrence of traffic accidents.
摘要：
It has been widely recognized that urban green space provides various benefits to old adults. However, there is a lack of discussion about the impact of cultural ecosystem services (CES) of green space on seniors’ mental health. We selected 20 parks in the old urban areas of Beijing and collected a total of 693 valid questionnaires from senior residents. Structural equation models were applied to examine the linkage between characteristics of parks (including green space, neighborhood environment, CES) and senior residents’ self-reported mental health, with respondents’ physical activity, social interaction, and satisfaction as mediators. Results highlighted the superiority of CES among all variables in promoting the subjective mental health of senior residents. In addition, we found the mediating role of the satisfaction with parks and social interaction in the linkage between CES and mental health. Moreover, results suggested that the area of green space was not directly related to mental health, but positively influenced older adults’ mental health by enhancing their physical activity. Besides, we also found that neighborhood environment around a park may directly and positively affect seniors' mental health, while negatively affecting it by adversely affecting satisfaction with the park. These findings reflect the superiority of cultural ecosystem services in enhancing older adults' mental health, which enriches the original green space-health framework, and may have direct implication for the conservation of cultural landscape in the future.
期刊：
International Journal of Environmental Research and Public Health,2023年20(1):174- ISSN：1661-7827
通讯作者：
Bin Deng
作者机构：
[Zhang, Jie; Liu, Siyan; Tang, Zihao] Hunan Inst Water Resourses & Hydropower Res, Changsha 410011, Peoples R China.;[Deng, Bin; Tang, Zihao] Changsha Univ Sci & Technol, Sch Hydraul & Environm Engn, Changsha 410114, Peoples R China.;[Deng, Bin] Key Lab Dongting Lake Aquat Ecoenvironm Control &, Changsha 410114, Peoples R China.;[Xiang, Yifei] Guangxi Minzu Univ, Coll Artificial Intelligence, Nanning 530006, Peoples R China.
通讯机构：
[Bin Deng] S;School of Hydraulic and Environmental Engineering, Changsha University of Science and Technology, Changsha 410114, China<&wdkj&>Key Laboratory of Dongting Lake Aquatic Eco-Environmental Control and Restoration of Hunan Province, Changsha 410114, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
gray correlation-TOPSIS model;grassroots water conservancy;evaluation index system;barrier factor analysis
摘要：
Based on the evaluation model of the gray correlation-TOPSIS method, this paper examines the index system of grass-roots water conservancy services in Hunan Province, China. This paper aims at the present situation of grassroots water conservancy in Hunan province, which assisted it in developing grassroots water conservancy services. The evaluation indicators include five criteria levels (institutional staffing, personnel quality, management level, public policy and service capacity) and twenty-four indicator levels. In this paper, the weight calculation method combined with an analytic hierarchy process and an entropy weight method, as well as quantitative and qualitative methods, was used to conduct an empirical study on the basic water conservancy service level of Hunan Province in 2020. The results classify grassroots water services in Hunan Province into three levels. By fitting the GDP of cities and prefectures with the comprehensive closeness, we conclude that there is considerable convergence between the grassroots water conservancy service level of Hunan Province and its local economic level. The more developed the economy, the higher the grassroots water conservancy service level. In addition, through obstacle factor analysis, the main constraints of grassroots water conservancy in various cities and prefectures are obtained. Therefore, the grassroots water conservancy service’s ability can be comprehensively improved from three aspects: serviceability, capital investment, and talent construction. This indicator system can promote the overall governance capacity of grassroots water conservancy in the future development of cities and prefectures, and it can also provide Hunan with experience and case examples for the implementation of rural revitalization.
期刊：
International Review of Economics & Finance,2023年83:421-450 ISSN：1059-0560
通讯作者：
Zhifeng Dai
作者机构：
[Dai, Zhifeng; Zhu, Haoyang] Changsha Univ Sci & Technol, Coll Math & Stat, Hunan Prov Key Lab Math Modeling & Anal Engn, Changsha 410114, Hunan, Peoples R China.
通讯机构：
[Zhifeng Dai] C;College of Mathematics and Statistics, Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering, Changsha University of Science and Technology, Hunan, 410114, China
摘要：
Using daily return, realized volatility, realized skewness and realized kurtosis as risk proxies, we analyze the risk spillovers among crude oil, gold, economic policy uncertainty (EPU) and four Chinese financial sectors including bank, trust, insurance and security under different market conditions. Our analysis spans from January 10, 2008 to June 30, 2020 and is based on the combination of quantile VAR model and time-varying parameter vector autoregressive (TVP-VAR) model based on generalized forecast error variance decomposition. We find that: (1) The risk spillovers of the four risk proxies under 0.01-quantile and 0.99-quantile are much larger than those under mean and median (0.5-quantile); (2) The four risk proxies capture different infor-mation of the systemic shocks; (3) Term spread and credit spread have significant forecasting power on the total return spillovers and the total volatility spillovers.
通讯机构：
[Bin Liu; Xiaosheng Qin; Bin Liu Bin Liu Bin Liu; Xiaosheng Qin Xiaosheng Qin Xiaosheng Qin] S;School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, People's Republic of China<&wdkj&>School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore<&wdkj&>School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, Singapore
关键词：
dam heightening;game theory;inter-basin water transfer;multicriteria decision-making;multifunctional reservoir;stakeholder engagement;sustainable water resources management
摘要：
An integrated multi-criteria analysis framework was proposed for the sustainable water management of built reservoir with dam-heightening-based decision, which enhances the conventional decision-making methods by more reasonably quantifying the decision-making process. The method utilizes a group of techniques involving game theory, analytic hierarchy process (AHP) identifying and considering different stakeholder groups, entropy weight, and fuzzy comprehensive evaluation (GAEF), and is applied to the largest water transfer programs in China. The study results showed that the improved multi-criteria decision framework can well deal with the decision-making problem of built reservoir construction scheme in facing the newly increased task of water transfer. The study identifies five stakeholders that affect the subjective weight of the heightening schemes of built reservoir for inter-basin water transfer. It was revealed that the game theory can better couple the collective wisdom of large complex groups and the objectivity of indicators than traditional methods such as geometric average. This study is of high reference value for the feasibility demonstration of built reservoir with dam-heightening-based decision around the world to achieve the water related Sustainable Development Goals (SDGs), especially for those reservoirs with water transferring tasks.
摘要：
Science and technology innovation plays a vital role in the sustainable development of enterprises, and even in the security and sustainable development of a nation. Against the background of China's structural "deleveraging" macro policy, the following two aspects are considered in this research: First, should operating leverage be removed, and how does it affect the innovation investment of enterprises? Second, what will be the impact of the implementation of equity incentives on the relationship between operating leverage and innovation investment? Using a longitudinal panel dataset of Chinese A-share listed companies from 2010 to 2020, this study empirically tested the impact and mechanism of operating leverage on enterprise innovation investment. The findings show that operating leverage significantly contributes to an increase in enterprise innovation investment in general, but the positive correlation trend decreases with the increase in operating leverage. The implementation of equity incentives plays a positive role in moderating the relationship between operating leverage and innovation investment. Further heterogeneity analysis shows that the promotion effect of operating leverage on innovation investment is significant only in non-state owned enterprises (SOE), and the positive regulating effect of equity incentives in non-SOEs is more significant than that of the overall sample.
期刊：
International Review of Economics & Finance,2023年83:860-878 ISSN：1059-0560
通讯作者：
Xin-Hua Zhang
作者机构：
[Wang, Li; Zhang, Xin-Hua] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha 410114, Peoples R China.;[Zhang, Yue-Jun] Hunan Univ, Business Sch, Changsha 410082, Peoples R China.
通讯机构：
[Xin-Hua Zhang] S;School of Economics and Management, Changsha University of Science and Technology, Changsha, 410114, China
关键词：
Information screening;Residential electricity price;Threshold model;Mechanism design
摘要：
The current tiered electricity pricing (TEP) system for residents in China reflects neither the cost of electricity supply nor the real demand of residents of different household sizes; therefore, we design a classified self-selection sales electricity pricing (CSSSEP) mechanism for different household sizes in this paper. First, based on the log-log model and single threshold model, residential electricity demand models of different household sizes are constructed. Then, the combination of factors other than electricity price is regarded as the residential electricity con-sumption type, and on this basis, a residential electricity price information screening model is proposed. Finally, the model is empirically compared and analysed. The results indicate that (1) the optimal power supply and electricity charges increase with changes in the type of residents. In addition, (2) the CSSSEP mechanism is better than the self-selection sales electricity pricing (SSSEP) mechanism and the TEP system; i.e., the CSSSEP mechanism can not only save energy and increase the income of power suppliers but also reduce residents' electricity consumption. Furthermore, (3) the average electricity price under the TEP system is relatively low, and the power regulation department should greatly increase it to better realize the reasonable allocation of resources. Finally, (4) the price cap has a positive impact on total social welfare, total profit and average surplus, but the increased total social welfare is mainly manifested in the profit of the power supplier.
通讯机构：
[Jiusu Li] S;School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China<&wdkj&>Author to whom correspondence should be addressed.
关键词：
red mud;silica fume (SF);diatomite (DA);geopolymer;planting concrete (PC)
摘要：
In order to reduce the carbon emission of planting concrete in the process of preparation, and to realize the application of large amounts of red mud in the geopolymer, in this study, high silicon source materials and blast furnace slag are added to a large content of red mud base geopolymer planting concrete, which can remove the dependence of planting concrete on ordinary Portland cement and provide a new direction for the comprehensive utilization of red mud. In the paper, the effects of different A (Alkali solid content)/P (Powder dosage) and high silica sources (silica fume and diatomite) on the microstructure and fluidity of the geopolymer, as well as the compressive strength, pore characteristics, and alkalinity of the planting concrete, are comparatively evaluated. The corresponding results showed that when A/P was 0.25, the planting performance of the planting concrete would be reduced due to its high alkalinity; when A/P was 0.15, the planting concrete would have its sedimentation and the compressive strength decreased. On the other hand, the pozzolanic reaction among the silica fume, diatomite, and Ca(OH)(2) significantly weakened the alkali pan phenomenon in the later stage of planting concrete formation. The addition of an appropriate amount of silica fume and diatomite also made the structure of the geopolymer more compact with better fluidity, which yielded superior pore characteristics and planting performance for the planting concrete. For good planting concrete pore characteristics, the test results showed that the fluidity of the mortar should be 112-128 mm. Overall, the best planting concrete performance was achieved at an A/P ratio of 0.2, with the contents of silica fume and diatomite being 10% and 5%, respectively. Furthermore, the slope finite element analysis showed that planting concrete made with red mud geopolymer had better slope protection potential than ordinary Portland cement.
摘要：
As global climate risk is looming in recent years, the climate risks faced by financial institutions are also increasing. Effectively quantifying and assessing climate-related financial risks is of great significance for financial institutions to establish risk management mechanisms. Accordingly, choosing Chinese commercial bank data from 2007 to 2019, this paper quantitatively evaluates the influence of climate change shock on the banks' credit risk by taking the annual temperature fluctuation in cities as the core index to characterize the climate change degree. It is found that annual average temperature rise can significantly increase the credit risk level of commercial banks. Heterogeneity analysis indicates that small-scale banks, rural commercial banks, and commercial banks with higher marketization levels are more sensitive to climate change. Further analysis shows summer and autumn temperature changes have the most prominent impact on banks' credit risk. Moreover, there is no obvious nonlinear relationship or lagged effects between annual temperature change and banks' credit risk in our dataset.
关键词：
macro ESG index;panel stationarity tests;sustainable development
摘要：
Abstract Environmental, social, and governance (ESG) performance has increasingly become the most pressing concern for governments, social organizations, companies, and other stakeholders. Understanding macro ESG behavior can assist governments in achieving their sustainable development goals (SDGs). In this paper, we investigate whether the macro ESG index of OPEC and non‐OPEC oil‐producing countries over the period 1990–2020 exhibits mean‐reversion behavior and whether the external shocks are transient or permanent. By conducting a series of advanced panel stationarity tests, we find that the macro ESG indices of the sample countries do not exhibit mean‐reversion and that an external shock has a permanent effect. We also identifies the yearly structural breaks that occur in the sample countries and attempts to explain why. Our research suggests that governments should use policy interventions to counteract external shocks to macro ESG behavior so as to achieve sustainable development and long‐term performance stability.
作者：
Wei, Lihong;Gong, Jiankun;Xu, Jing;Abidin, Nor Eeza Zainal;Apuke, Oberiri Destiny
期刊：
Telematics and Informatics,2023年76:101910 ISSN：0736-5853
通讯作者：
Jing Xu
作者机构：
[Wei, Lihong] Changsha Univ Sci & Technol, Sch Phys Educ, Changsha 410114, Peoples R China.;[Gong, Jiankun] Univ Malaya, Fac Art & Social Sci, Dept Media & Commun Studies, Kuala Lumpur 50603, Malaysia.;[Xu, Jing] Beijing Normal Univ, Sch Journalism & Commun, Beijing 100875, Peoples R China.;[Abidin, Nor Eeza Zainal] Univ Malaya, Fac Sport & Exercise Sci, Kuala Lumpur 50603, Malaysia.;[Apuke, Oberiri Destiny] Taraba State Univ, Fac Commun & Media Studies, Dept Journalism & Media Studies, PMB 1167, Jalingo, Nigeria.
通讯机构：
[Jing Xu] S;School of Journalism and Communication, Beijing Normal University, 100875 Beijing, China
关键词：
Fake news;Nigeria;Social media literacy skills;Social media users;Social media
摘要：
This study modelled the rational factors that predict fake news sharing behaviour. It also tested the moderating role of social media literacy skills. The focus was on social media users in Nigeria. An online survey was conducted to gather the responses from participants across Nigerian geopolitical zones. Structural equation modelling (SEM) Smart PLS 3.6 was used to analyse the data. We found that information sharing, the news finds me perception, trust in social media and status-seeking lead to fake news sharing among social media users in Nigeria. Specifically, trust in social media and status-seeking had a greater effect on fake news sharing behaviour. We also found that social media literacy skills significantly moderate the relationship between informa-tion sharing, status-seeking, the news finds me perception, trust in social media and fake news sharing in such a way that the effects/relationships are stronger among those with low social media literacy skills. This outcome contributes to theory and practice which was highlighted in the concluding aspect of this study.
期刊：
Emerging Markets Finance and Trade,2023年59(7):1993-2007 ISSN：1540-496X
通讯作者：
Zhang, T.;Yang, L.
作者机构：
[Li, Xiuzhen] Shanghai Normal Univ, Sch Finance & Business, Shanghai, Peoples R China.;[Han, Lulu] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha, Hunan, Peoples R China.;[Yang, Lingxiao] Shanghai Lixin Univ Accounting & Finance, Sch Finance, Shanghai, Peoples R China.;[Zhang, Tiezhu] Shanghai Univ Int Business & Econ, Sch Finance, Shanghai, Peoples R China.;[Yang, Lingxiao] Shanghai Lixin Univ Accounting & Finance, Sch Finance, Shanghai 201209, Peoples R China.
通讯机构：
[Lingxiao Yang; Tiezhu Zhang] S;School of Finance, Shanghai Lixin University of Accounting and Finance, Shanghai, China<&wdkj&>School of Finance, Shanghai University of International Business and Economics, Shanghai, China
关键词：
financial development;green development efficiency;O47;Q56;R11;R58;technological innovation;Yangtze River Delta
摘要：
How to accurately and effectively grasp herding behavior is one of the crucial and challenging issues in the field of financial risk management. Most herding-based paradigms are strictly limited to over-idealized assumptions such as fully connected among individuals or regular structure to local neighborhoods, and the drawbacks are actually obvious. Using a sample of Chinese A-shares from 2006 to 2021, we create a series of daily networks and modify the classical Cross-Sectional Absolute Deviation model by introducing a network topological variable, the Laplacian-energy-like measure. We find that the modified herding model consistently outperforms the traditional model in terms of goodness-of-fit and detection accuracy. This modified model suggests that herding is essentially driven by external contingencies and is more pronounced when stock network interconnectedness is higher. Moreover, the modified herding model is robust to changes in market conditions and also holds in the context of different developed and emerging markets.
关键词：
Digital transformation;Innovation efficiency;Financial information disclosure;Enterprise innovation;Industry competition
摘要：
This paper takes the data of 2114 listed enterprises in Shanghai and Shenzhen A-share markets from 2010 to 2022 as samples for empirical analysis. The results show that digital transformation of enterprises can effectively promote the growth of innovation efficiency of enterprises, and financial information disclosure plays an important intermediary role in the middle. In addition, when the industry competition is high and the marketization level of the region where the enterprise is located is low, the positive effect of digital transformation on the innovation efficiency of the enterprise is more and more significant.
