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Rita Yi Man Li
Sustainable Real Estate Research Center/Department of Economics and Finance, Hong Kong Shue Yan University, Hong Kong

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Journal article
Published: 28 July 2021 in Safety Science
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Many studies show that unsafe behavior is the main cause of construction accidents. Safety education and training are effective means to minimise people’s unsafe behaviors. Apart from traditional face-to-face construction knowledge sharing, social media is a good tool because it is convenient, efficient, and widely used. We applied both social network analysis and sentiment analysis to investigate knowledge sharing on Twitter. Our study is a novel attempt to understand social structure of “construction safety”- related twitter networks and the opinion leaders. We selected and analyzed 6561 tweets of three users’ networks on Twitter – “construction safety”, “construction health” and “construction accident”. We found that three networks had low density and many isolated vertices, which showed that users did not actively interact with each other. The opinion leaders in this study were mostly organizations or government agencies. The top one is “cif_ireland”, the Irish construction industry’s representative body, the Construction Industry Federation. 3200 Tweets of the top opinion leader were analyzed through graph metrics calculation, cluster analysis, sentiment analysis, and correlation analysis. The opinion leader used Twitter as a medium to disseminate the latest safety news. Thus, we may use Twitter to stimulate people's interest on construction safety topics, share construction safety knowledge, opinions and ideas. Besides, our results showed that sentiment valence had no correlation with number of favorites or retweets. Nevertheless, there was a positive correlation between favorites and retweets.

ACS Style

Qi Yao; Rita Yi Man Li; Lingxi Song; M. James C. Crabbe. Construction safety knowledge sharing on Twitter: A social network analysis. Safety Science 2021, 143, 105411 .

AMA Style

Qi Yao, Rita Yi Man Li, Lingxi Song, M. James C. Crabbe. Construction safety knowledge sharing on Twitter: A social network analysis. Safety Science. 2021; 143 ():105411.

Chicago/Turabian Style

Qi Yao; Rita Yi Man Li; Lingxi Song; M. James C. Crabbe. 2021. "Construction safety knowledge sharing on Twitter: A social network analysis." Safety Science 143, no. : 105411.

Journal article
Published: 02 July 2021 in Journal of Environmental Management
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After the Paris Climate Conference (Conference of the Paris COP: 21), most developing countries face challenges to attain a sustainable economy and carbon neutrality targets with minimum CO2 emission. The next eleven (N-11) economies are in line with the global phenomena of environmental degradation; very few studies have analyzed the effects of green technology innovation on environmental degradation in N-11 countries. Therefore, the present study addresses the gap and examines green technology innovation and renewable energy with CO2 emission from 1980 to 2018. The present study considers all the issues related to panel data analysis, such as cross-sectional dependence, stationarity, heterogeneity in slope parameters, and structural break with advanced panel estimators. Moreover, the cross-sectional augmented autoregressive distributed lags (CS-ARDL) test results show the negative and significant impact of green technology innovation and renewable energy with CO2 emission in the long run. However, the short-run association of green technology innovation is not significant—further, the results endorsed by the robustness tests such as AMG and CCEMG. To reduce environmental deterioration in N-11 countries, governments are suggested implementing some policies to support green innovation technologies and renewable energy resources.

ACS Style

Xuefeng Shao; Yifan Zhong; Wei Liu; Rita Yi Man Li. Modeling the effect of green technology innovation and renewable energy on carbon neutrality in N-11 countries? Evidence from advance panel estimations. Journal of Environmental Management 2021, 296, 113189 .

AMA Style

Xuefeng Shao, Yifan Zhong, Wei Liu, Rita Yi Man Li. Modeling the effect of green technology innovation and renewable energy on carbon neutrality in N-11 countries? Evidence from advance panel estimations. Journal of Environmental Management. 2021; 296 ():113189.

Chicago/Turabian Style

Xuefeng Shao; Yifan Zhong; Wei Liu; Rita Yi Man Li. 2021. "Modeling the effect of green technology innovation and renewable energy on carbon neutrality in N-11 countries? Evidence from advance panel estimations." Journal of Environmental Management 296, no. : 113189.

Journal article
Published: 24 June 2021 in Energy
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Since the role of fiscal decentralization cannot be overlooked in tracking sustainable development goals targets of a clean environment and climate mitigation, it is inevitable to understand the comprehensive picture of its link with environmental quality. Unlike past studies, this study investigates the combined influence of energy prices and non-linear fiscal decentralization on carbon emissions in the presence of institutional quality and gross domestic product in the model. It employed advanced econometric panel techniques on data from 1990 to 2018 for the top seven fiscally decentralized Organisation for Economic Co-operation and Development (OECD) nations, including Spain, Belgium, Austria, Switzerland, Germany, Australia, and Canada. The main outcomes are as follows: first, a cointegrating equilibrium link is existent among the study variables. Second, the linear term of fiscal decentralization promotes carbon emissions, while the non-linear term mitigates it. It verified the inverted U-shaped curve between fiscal decentralization and carbon emissions. Third, increasing energy prices for non-renewable energy decrease carbon emission due to a substitution effect. Among other explanatory variables, improvement in the quality of institutions decreases carbon emissions, while the gross domestic product increases it. These findings suggest strengthening fiscal decentralization, lowering non-renewable energy prices, and improving institutional quality to check the deteriorating environmental quality in the study sample and other worldwide regions.

ACS Style

Shan Shan; Munir Ahmad; Zhixiong Tan; Tomiwa Sunday Adebayo; Rita Yi Man Li; Dervis Kirikkaleli. The role of energy prices and non-linear fiscal decentralization in limiting carbon emissions: Tracking environmental sustainability. Energy 2021, 234, 121243 .

AMA Style

Shan Shan, Munir Ahmad, Zhixiong Tan, Tomiwa Sunday Adebayo, Rita Yi Man Li, Dervis Kirikkaleli. The role of energy prices and non-linear fiscal decentralization in limiting carbon emissions: Tracking environmental sustainability. Energy. 2021; 234 ():121243.

Chicago/Turabian Style

Shan Shan; Munir Ahmad; Zhixiong Tan; Tomiwa Sunday Adebayo; Rita Yi Man Li; Dervis Kirikkaleli. 2021. "The role of energy prices and non-linear fiscal decentralization in limiting carbon emissions: Tracking environmental sustainability." Energy 234, no. : 121243.

Journal article
Published: 24 May 2021 in Sustainability
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We argue that environmental legislation and regulation of more developed countries reflects significantly their moral values, but in less developed countries it differs significantly from their moral values. We examined this topic by using the keywords “sustainability” and “sustainable development”, studying web pages and articles published between 1974 to 2018 in Web of Science, Scopus and Google. Australia, Zimbabwe, and Uganda were ranked as the top three countries in the number of Google searches for sustainability. The top five cities that appeared in sustainability searches through Google are all from Africa. In terms of academic publications, China, India, and Brazil record among the largest numbers of sustainability and sustainable development articles in Scopus. Six out of the ten top productive institutions publishing sustainable development articles indexed in Scopus were located in developing countries, indicating that developing countries are well aware of the issues surrounding sustainable development. Our results show that when environmental law reflects moral values for betterment, legal adoption is more likely to be successful, which usually happens in well-developed regions. In less-developed states, environmental law differs significantly from moral values, such that changes in moral values are necessary for successful legal implementation. Our study has important implications for the development of policies and cultures, together with the enforcement of environmental laws and regulations in all countries.

ACS Style

Rita Li; Yi Li; M. Crabbe; Otilia Manta; Muhammad Shoaib. The Impact of Sustainability Awareness and Moral Values on Environmental Laws. Sustainability 2021, 13, 5882 .

AMA Style

Rita Li, Yi Li, M. Crabbe, Otilia Manta, Muhammad Shoaib. The Impact of Sustainability Awareness and Moral Values on Environmental Laws. Sustainability. 2021; 13 (11):5882.

Chicago/Turabian Style

Rita Li; Yi Li; M. Crabbe; Otilia Manta; Muhammad Shoaib. 2021. "The Impact of Sustainability Awareness and Moral Values on Environmental Laws." Sustainability 13, no. 11: 5882.

Journal article
Published: 24 March 2021 in Sustainability
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A major issue is whether the implementation of China’s green credit policy will affect the coordinated development of corporate sustainable operations and environmental protection. This paper used a propensity score matching—difference-in-differences (PSM-DID) model to analyse the impact of China’s green credit policy implemented in 2012 on the maturity mismatch risk between investment and financing in polluting and non-polluting companies. We found that: (1) green credit policies can help reduce the risk of maturity mismatch between investment and financing for polluting companies; (2) the reduction of short-term bank credit is the main way to curb the risk of maturity mismatch risk between investment and financing; (3) the green credit policy has no obvious mitigation effect on the risk of maturity mismatch between investment and financing among polluting companies with environmental protection investment; (4) the mitigation effect of the green credit policy on the maturity mismatch risk is more significant in state-owned polluting companies and polluting companies in areas with a lower level of financial development. The empirical results show that China’s green credit policy helps stimulate the environmental protection behaviour of companies, as well as helping alleviate the capital chain risk caused by the maturity mismatch between investment and financing. In addition, despite the effect of heterogeneity, it can solve the contradiction between environmental protection and economic development.

ACS Style

Yaowei Cao; Youtang Zhang; Liu Yang; Rita Li; M. Crabbe. Green Credit Policy and Maturity Mismatch Risk in Polluting and Non-Polluting Companies. Sustainability 2021, 13, 3615 .

AMA Style

Yaowei Cao, Youtang Zhang, Liu Yang, Rita Li, M. Crabbe. Green Credit Policy and Maturity Mismatch Risk in Polluting and Non-Polluting Companies. Sustainability. 2021; 13 (7):3615.

Chicago/Turabian Style

Yaowei Cao; Youtang Zhang; Liu Yang; Rita Li; M. Crabbe. 2021. "Green Credit Policy and Maturity Mismatch Risk in Polluting and Non-Polluting Companies." Sustainability 13, no. 7: 3615.

Journal article
Published: 21 March 2021 in Technological Forecasting and Social Change
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In the past, economic models and empirical evidence have extensively examined the possible determinants of technological innovation. However, researchers did not give much importance to the relationship between fiscal decentralization and technological innovation. Therefore, this study examines the effects of fiscal decentralization on technological innovation, in the presence of economic globalization, public debt, and research & development expenditures (R&DE) for seven decentralized countries of the world, which include Brazil, South Africa, Canada, Germany, Japan, UK, and the USA. In this regard, the Westerlund and Kao cointegration methods' outcomes have provided ample evidence of a long-run equilibrium relationship among the variables associated with technological innovation and its determinants. The results of the common correlated effects mean group (CCEMG) support the hypothesized relationship between fiscal decentralization, and other technological innovation variables that have been taken into consideration. It is evident that an increase in fiscal decentralization, economic globalization, and R&D expenditures tends to improve the sample countries' performance in terms of innovation. On the contrary, public debt is negatively associated with technological innovation. By employing the Dumitrescu Hurlin test, we also found that any policy aims to target fiscal decentralization, R&D expenditures, and public debt significantly changes the advent of technological innovation.

ACS Style

Meiqing Chi; Sulaman Muhammad; Zeeshan Khan; Shahid Ali; Rita Yi Man Li. Is centralization killing innovation? The success story of technological innovation in fiscally decentralized countries. Technological Forecasting and Social Change 2021, 168, 120731 .

AMA Style

Meiqing Chi, Sulaman Muhammad, Zeeshan Khan, Shahid Ali, Rita Yi Man Li. Is centralization killing innovation? The success story of technological innovation in fiscally decentralized countries. Technological Forecasting and Social Change. 2021; 168 ():120731.

Chicago/Turabian Style

Meiqing Chi; Sulaman Muhammad; Zeeshan Khan; Shahid Ali; Rita Yi Man Li. 2021. "Is centralization killing innovation? The success story of technological innovation in fiscally decentralized countries." Technological Forecasting and Social Change 168, no. : 120731.

Perspective
Published: 24 February 2021 in Journal of Open Innovation: Technology, Market, and Complexity
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The urbanization problems we face may be alleviated using innovative digital technology. However, employing these technologies entails the risk of creating new urban problems and/or intensifying the old ones instead of alleviating them. Hence, in a world with immense technological opportunities and at the same time enormous urbanization challenges, it is critical to adopt the principles of responsible urban innovation. These principles assure the delivery of the desired urban outcomes and futures. We contribute to the existing responsible urban innovation discourse by focusing on local government artificial intelligence (AI) systems, providing a literature and practice overview, and a conceptual framework. In this perspective paper, we advocate for the need for balancing the costs, benefits, risks and impacts of developing, adopting, deploying and managing local government AI systems in order to achieve responsible urban innovation. The statements made in this perspective paper are based on a thorough review of the literature, research, developments, trends and applications carefully selected and analyzed by an expert team of investigators. This study provides new insights, develops a conceptual framework and identifies prospective research questions by placing local government AI systems under the microscope through the lens of responsible urban innovation. The presented overview and framework, along with the identified issues and research agenda, offer scholars prospective lines of research and development; where the outcomes of these future studies will help urban policymakers, managers and planners to better understand the crucial role played by local government AI systems in ensuring the achievement of responsible outcomes.

ACS Style

Tan Yigitcanlar; Juan Corchado; Rashid Mehmood; Rita Li; Karen Mossberger; Kevin Desouza. Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda. Journal of Open Innovation: Technology, Market, and Complexity 2021, 7, 71 .

AMA Style

Tan Yigitcanlar, Juan Corchado, Rashid Mehmood, Rita Li, Karen Mossberger, Kevin Desouza. Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7 (1):71.

Chicago/Turabian Style

Tan Yigitcanlar; Juan Corchado; Rashid Mehmood; Rita Li; Karen Mossberger; Kevin Desouza. 2021. "Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 1: 71.

Conference paper
Published: 22 December 2020 in Plant-Microbes-Engineered Nano-particles (PM-ENPs) Nexus in Agro-Ecosystems
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Recently, various ubiquitous technological advancements have benefitted knowledge sharing in different sectors. As there is a close relationship between safety knowledge and awareness, this paper examines the use of Web 2.0, Internet of Things (IoT) and mobile applications in construction safety knowledge sharing for enhancing safety awareness at work. The use of such technologies can improve internal and external communication as well as collaboration. A quantitative survey was conducted to investigate the willingness and uptake of advanced technologies in the Hong Kong construction industry. Out of 23 respondents, 16 were eager to use mobile applications to share safety information. Regarding safety knowledge sharing via Web 2.0, respondents perceived a variety of barriers for not using it, such as the need to protect their company’s privacy issues made them hesitant to share knowledge regarding safety issues; others were of the opinion that Web 2.0 was managed by the elite in the organisation. Only three respondents have used Web 2.0 platforms. The willingness to apply IoT was relatively negative due to the perceived extra operation costs.

ACS Style

Rita Yi Man Li; Derek Asante Abankwa; Tat Ho Leung. Sharing Knowledge via Ubiquitous Technology to Enhance Safety Awareness: Willingness and Actual Experience in Hong Kong. Plant-Microbes-Engineered Nano-particles (PM-ENPs) Nexus in Agro-Ecosystems 2020, 543 -547.

AMA Style

Rita Yi Man Li, Derek Asante Abankwa, Tat Ho Leung. Sharing Knowledge via Ubiquitous Technology to Enhance Safety Awareness: Willingness and Actual Experience in Hong Kong. Plant-Microbes-Engineered Nano-particles (PM-ENPs) Nexus in Agro-Ecosystems. 2020; ():543-547.

Chicago/Turabian Style

Rita Yi Man Li; Derek Asante Abankwa; Tat Ho Leung. 2020. "Sharing Knowledge via Ubiquitous Technology to Enhance Safety Awareness: Willingness and Actual Experience in Hong Kong." Plant-Microbes-Engineered Nano-particles (PM-ENPs) Nexus in Agro-Ecosystems , no. : 543-547.

Journal article
Published: 11 December 2020 in Journal of Open Innovation: Technology, Market, and Complexity
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Artificial intelligence (AI) is a powerful technology with an increasing popularity and applications in areas ranging from marketing to banking and finance, from agriculture to healthcare and security, from space exploration to robotics and transport, and from chatbots to artificial creativity and manufacturing. Although many of these areas closely relate to the urban context, there is limited understanding of the trending AI technologies and their application areas—or concepts—in the urban planning and development fields. Similarly, there is a knowledge gap in how the public perceives AI technologies, their application areas, and the AI-related policies and practices of our cities. This study aims to advance our understanding of the relationship between the key AI technologies (n = 15) and their key application areas (n = 16) in urban planning and development. To this end, this study examines public perceptions of how AI technologies and their application areas in urban planning and development are perceived and utilized in the testbed case study of Australian states and territories. The methodological approach of this study employs the social media analytics method, and conducts sentiment and content analyses of location-based Twitter messages (n = 11,236) from Australia. The results disclose that: (a) digital transformation, innovation, and sustainability are the most popular AI application areas in urban planning and development; (b) drones, automation, robotics, and big data are the most popular AI technologies utilized in urban planning and development, and; (c) achieving the digital transformation and sustainability of cities through the use of AI technologies—such as big data, automation and robotics—is the central community discussion topic.

ACS Style

Tan Yigitcanlar; Nayomi Kankanamge; Massimo Regona; Andres Maldonado; Bridget Rowan; Alex Ryu; Kevin C. DeSouza; Juan M. Corchado; Rashid Mehmood; Rita Yi Man Li. Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia? Journal of Open Innovation: Technology, Market, and Complexity 2020, 6, 187 .

AMA Style

Tan Yigitcanlar, Nayomi Kankanamge, Massimo Regona, Andres Maldonado, Bridget Rowan, Alex Ryu, Kevin C. DeSouza, Juan M. Corchado, Rashid Mehmood, Rita Yi Man Li. Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia? Journal of Open Innovation: Technology, Market, and Complexity. 2020; 6 (4):187.

Chicago/Turabian Style

Tan Yigitcanlar; Nayomi Kankanamge; Massimo Regona; Andres Maldonado; Bridget Rowan; Alex Ryu; Kevin C. DeSouza; Juan M. Corchado; Rashid Mehmood; Rita Yi Man Li. 2020. "Artificial Intelligence Technologies and Related Urban Planning and Development Concepts: How Are They Perceived and Utilized in Australia?" Journal of Open Innovation: Technology, Market, and Complexity 6, no. 4: 187.

Research article
Published: 07 December 2020 in Energy Economics
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The debate regarding whether fiscal decentralization can effectively mitigate carbon dioxide (CO2) emissions has gained increasing attention, although there is little empirical evidence to support this issue. To provide empirical evidence in support of the theoretical argument, this study investigates the impact of fiscal decentralization on CO2 emissions by using a balanced panel dataset of seven OECD countries between 1990 and 2018. Further, we explore the roles institutions and human capital play in the impact of fiscal decentralization on CO2 emissions. Hence, in addition to the direct impact, we assume fiscal decentralization could indirectly affect CO2 emissions through various channels, such as institutions and human capital. The empirical results indicate that fiscal decentralization improves environmental quality. Moreover, the relationship between fiscal decentralization and environmental quality is strengthened by improvements in the quality of institutions and the development of human capital. In addition, there are one-way effects from fiscal decentralization, GDP, human capital, eco-innovation, and institutional quality on CO2 emissions, but not the other way round. In terms of policy implications, this study suggests that by authorizing a lower unit of the state, countries could successfully implement policies related to improving environmental quality.

ACS Style

Zeeshan Khan; Shahid Ali; Kangyin Dong; Rita Yi Man Li. How does fiscal decentralization affect CO2 emissions? The roles of institutions and human capital. Energy Economics 2020, 94, 105060 .

AMA Style

Zeeshan Khan, Shahid Ali, Kangyin Dong, Rita Yi Man Li. How does fiscal decentralization affect CO2 emissions? The roles of institutions and human capital. Energy Economics. 2020; 94 ():105060.

Chicago/Turabian Style

Zeeshan Khan; Shahid Ali; Kangyin Dong; Rita Yi Man Li. 2020. "How does fiscal decentralization affect CO2 emissions? The roles of institutions and human capital." Energy Economics 94, no. : 105060.

Journal article
Published: 27 November 2020 in Nanomaterials
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In this study, activated carbon (AC) from coconut shell, as a widely available agricultural waste, was synthesised in a simple one-step procedure and used to produce a magnetic Fe3O4/AC/TiO2 nano-catalyst for the degradation of methylene blue (MB) dye under UV light. Scanning electron microscopy revealed that TiO2 nanoparticles, with an average particle size of 45 to 62 nm, covered the surface of the AC porous structure without a reunion of its structure, which according to the TGA results enhanced the stability of the photocatalyst at high temperatures. The photocatalytic activities of synthesised AC, commercial TiO2, Fe3O4/AC, and Fe3O4/AC/TiO2 were compared, with Fe3O4/AC/TiO2 (1:2) exhibiting the highest catalytic activity (98%). Furthermore, evaluation of the recovery and reusability of the photocatalysts after treatment revealed that seven treatment cycles were possible without a significant reduction in the removal efficiency.

ACS Style

Seyedehmaryam Moosavi; Rita Yi Man Li; Chin Wei Lai; Yusliza Yusof; Sinyee Gan; Omid Akbarzadeh; Zaira Zaman Chowhury; Xiao-Guang Yue; Mohd RafieBin Johan. Methylene Blue Dye Photocatalytic Degradation over Synthesised Fe3O4/AC/TiO2 Nano-Catalyst: Degradation and Reusability Studies. Nanomaterials 2020, 10, 2360 .

AMA Style

Seyedehmaryam Moosavi, Rita Yi Man Li, Chin Wei Lai, Yusliza Yusof, Sinyee Gan, Omid Akbarzadeh, Zaira Zaman Chowhury, Xiao-Guang Yue, Mohd RafieBin Johan. Methylene Blue Dye Photocatalytic Degradation over Synthesised Fe3O4/AC/TiO2 Nano-Catalyst: Degradation and Reusability Studies. Nanomaterials. 2020; 10 (12):2360.

Chicago/Turabian Style

Seyedehmaryam Moosavi; Rita Yi Man Li; Chin Wei Lai; Yusliza Yusof; Sinyee Gan; Omid Akbarzadeh; Zaira Zaman Chowhury; Xiao-Guang Yue; Mohd RafieBin Johan. 2020. "Methylene Blue Dye Photocatalytic Degradation over Synthesised Fe3O4/AC/TiO2 Nano-Catalyst: Degradation and Reusability Studies." Nanomaterials 10, no. 12: 2360.

Journal article
Published: 18 November 2020 in Sustainable Production and Consumption
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The rapid industrialization and modernization of the People's Republic of China's economy have significantly aggravated the nation's carbon emission-induced climate change adversities. Under this premise, this study attempts to analyze the roles of green investments and other key macroeconomic aggregates in reducing carbon emissions in 30 provinces in China from 1995 to 2017. The robust econometric tools efficient in handling cross-sectional dependency and slope heterogeneity issues were utilized. The Westerlund cointegration analysis confirms the long-term association between the variables of concern. Moreover, the elasticity estimates from the cross-section augmented autoregressive distributed a lag approach indicate that investments in green projects are seen to reduce short- and long-term carbon emission levels. In contrast, the extraction of natural resources, the development of the financial sector, and energy investments increase carbon emissions, both in the short and long term. Furthermore, the Dumitrescu and Hurlin causality analysis indicate bidirectional causation amongst carbon emissions and the other macroeconomic aggregates considered in this study.

ACS Style

Zheng-Zheng Li; Rita Yi Man Li; Muhammad Yousaf Malik; Muntasir Murshed; Zeeshan Khan; Muhammad Umar. Determinants of Carbon Emission in China: How Good is Green Investment? Sustainable Production and Consumption 2020, 27, 392 -401.

AMA Style

Zheng-Zheng Li, Rita Yi Man Li, Muhammad Yousaf Malik, Muntasir Murshed, Zeeshan Khan, Muhammad Umar. Determinants of Carbon Emission in China: How Good is Green Investment? Sustainable Production and Consumption. 2020; 27 ():392-401.

Chicago/Turabian Style

Zheng-Zheng Li; Rita Yi Man Li; Muhammad Yousaf Malik; Muntasir Murshed; Zeeshan Khan; Muhammad Umar. 2020. "Determinants of Carbon Emission in China: How Good is Green Investment?" Sustainable Production and Consumption 27, no. : 392-401.

Journal article
Published: 22 October 2020 in Scientific Reports
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Unconsolidated-undrained (UU) tests were conducted to investigate the mechanical and morphological properties of undisturbed and remoulded red clay, with the microscopic characteristics determined by scanning electron microscopy (SEM). The microanalysis showed that the red clay aggregate was granular, curved-slice and thin layered and flower-shaped ellipsoid, with X and Y-type cracks and pores in the undisturbed red clay. Moreover, the contact modes of red clay aggregates were point contact, line contact, surface contact and mosaic contact. In addition, the main microstructure red clay was flocculation, honeycomb and pseudosphere structures. The pores in undisturbed soil were arranged in one direction, with no obvious directionality in remoulded red clay. The pore area, perimeter and maximum length of undisturbed red clay were smaller than those of remoulded red clay, with a larger probability entropy, probability distribution index and fractal dimension of pore distribution of undisturbed red clay than remoulded red clay. UU tests showed that the shear strength of undisturbed red clay was higher than that of remoulded red clay.

ACS Style

Yanzhao Zhang; Shaoyun Pu; Rita Yi Man Li; Jing Zhang. Microscopic and mechanical properties of undisturbed and remoulded red clay from Guiyang, China. Scientific Reports 2020, 10, 1 -14.

AMA Style

Yanzhao Zhang, Shaoyun Pu, Rita Yi Man Li, Jing Zhang. Microscopic and mechanical properties of undisturbed and remoulded red clay from Guiyang, China. Scientific Reports. 2020; 10 (1):1-14.

Chicago/Turabian Style

Yanzhao Zhang; Shaoyun Pu; Rita Yi Man Li; Jing Zhang. 2020. "Microscopic and mechanical properties of undisturbed and remoulded red clay from Guiyang, China." Scientific Reports 10, no. 1: 1-14.

Communication
Published: 23 June 2020 in Journal of Risk and Financial Management
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This paper introduces risk factors in the field of healthcare and discusses the clinical risks, identification, risk management methods, and tools as well as the analysis of specific situations. Based on documentary analysis, an efficient and coherent methodological choice of an informative and non-interpretative approach, it relies on “unobtrusive” and “non-reactive” information sources, such that the research results are not influenced by the research process itself. To ensure objective and systematical analysis, our research involved three macro-phases: (a) the first involved a skimming (a superficial examination) of the documents collected; (b) the second reading (a thorough examination) allowed a selection of useful information; (c) the third phase involved classification and evaluation of the collected data. This iterative process combined the elements of content and thematic analysis that categorised the information into different categories which were related to the central issues for research purposes. Finally, from the perspective of safety analysis and risk management, we suggest that comprehensive control and operation should be conducted in a holistic way, including patient safety, cost consumption, and organizational responsibility. An organizational strategy that revolves around a constant and gradual risk management process is an important factor in clinical governance which focuses on the safety of patients, operators, and organizations.

ACS Style

Ubaldo Comite; Kechen Dong; Rita Yi Man Li; M. James C. Crabbe; Xue-Feng Shao; Xiao-Guang Yue. An Economic–Business Approach to Clinical Risk Management. Journal of Risk and Financial Management 2020, 13, 135 .

AMA Style

Ubaldo Comite, Kechen Dong, Rita Yi Man Li, M. James C. Crabbe, Xue-Feng Shao, Xiao-Guang Yue. An Economic–Business Approach to Clinical Risk Management. Journal of Risk and Financial Management. 2020; 13 (6):135.

Chicago/Turabian Style

Ubaldo Comite; Kechen Dong; Rita Yi Man Li; M. James C. Crabbe; Xue-Feng Shao; Xiao-Guang Yue. 2020. "An Economic–Business Approach to Clinical Risk Management." Journal of Risk and Financial Management 13, no. 6: 135.

Journal article
Published: 03 June 2020 in Information
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This study developed models to solve problems of optimisation, production, and consumption in waste management based on methods of system analysis. Mathematical models of the problems of optimisation and sustainable waste management in deterministic conditions and in a fuzzy environment were formulated. The income from production was maximised considering environmental standards that apply to the field of macroeconomics and microeconomics. The proposed approach used MANAGER software to formalise and solve the problem of revenue optimisation with production waste management to optimise the production of oil products with waste management at a specific technological facility of the Atyrau oil refinery in Kazakhstan. Based on the combined application of the principles of maximin and Pareto optimality, a formulation of the problem of production optimisation with waste management was obtained and a heuristic algorithm for solving the formulated fuzzy optimisation problem with waste management was developed.

ACS Style

Ainur Zhumadillayeva; Batyr Orazbayev; Saya Santeyeva; Kanagat Dyussekeyev; Rita Yi Man Li; M. James C. Crabbe; Xiao-Guang Yue. Models for Oil Refinery Waste Management Using Determined and Fuzzy Conditions. Information 2020, 11, 1 .

AMA Style

Ainur Zhumadillayeva, Batyr Orazbayev, Saya Santeyeva, Kanagat Dyussekeyev, Rita Yi Man Li, M. James C. Crabbe, Xiao-Guang Yue. Models for Oil Refinery Waste Management Using Determined and Fuzzy Conditions. Information. 2020; 11 (6):1.

Chicago/Turabian Style

Ainur Zhumadillayeva; Batyr Orazbayev; Saya Santeyeva; Kanagat Dyussekeyev; Rita Yi Man Li; M. James C. Crabbe; Xiao-Guang Yue. 2020. "Models for Oil Refinery Waste Management Using Determined and Fuzzy Conditions." Information 11, no. 6: 1.

Journal article
Published: 03 April 2020 in Journal of Risk and Financial Management
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This study first analyzes the national and global infection status of the Coronavirus Disease that emerged in 2019 (COVID-19). It then uses the trend comparison method to predict the inflection point and Key Point of the COVID-19 virus by comparison with the severe acute respiratory syndrome (SARS) graphs, followed by using the Autoregressive Integrated Moving Average model, Autoregressive Moving Average model, Seasonal Autoregressive Integrated Moving-Average with Exogenous Regressors, and Holt Winter’s Exponential Smoothing to predict infections, deaths, and GDP in China. Finally, it discusses and assesses the impact of these results. This study argues that even if the risks and impacts of the epidemic are significant, China’s economy will continue to maintain steady development.

ACS Style

Xiao-Guang Yue; Xue-Feng Shao; Rita Yi Man Li; M. James C. Crabbe; Lili Mi; Siyan Hu; Julien S Baker; Liting Liu; Kechen Dong. Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy. Journal of Risk and Financial Management 2020, 13, 66 .

AMA Style

Xiao-Guang Yue, Xue-Feng Shao, Rita Yi Man Li, M. James C. Crabbe, Lili Mi, Siyan Hu, Julien S Baker, Liting Liu, Kechen Dong. Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy. Journal of Risk and Financial Management. 2020; 13 (4):66.

Chicago/Turabian Style

Xiao-Guang Yue; Xue-Feng Shao; Rita Yi Man Li; M. James C. Crabbe; Lili Mi; Siyan Hu; Julien S Baker; Liting Liu; Kechen Dong. 2020. "Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy." Journal of Risk and Financial Management 13, no. 4: 66.

Journal article
Published: 30 March 2020 in Sustainability
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This paper investigated the impact of employee quality on corporate social responsibility (CSR). Based on data from China A-share-listed companies for the years 2012–2016 and using ordinary least squares, our empirical results show that the educational level of the workforce, as a proxy for employee quality, is positively associated with CSR, which suggests that higher education can promote CSR implementation. Additional analyses found that this positive relationship is more pronounced in non-state-owned enterprises, enterprises in regions with lower marketisation processes, and firms with lower proportions of independent directors. This study extends the literature on human capital at the level of firms’ entire workforce and CSR by elaborating the positive effect of employee quality on CSR in the context of an emerging economy (China). The results suggest that it is necessary to consider the educational level of employees when analysing CSR, which is of strategic significance for corporate sustainable development.

ACS Style

Shilu Sun; Tiantian Li; Hong Ma; Rita Yi Man Li; Kostas Gouliamos; Jianming Zheng; Yan Han; Otilia Manta; Ubaldo Comite; Teresa Barros; Nelson Duarte; Xiao-Guang Yue. Does Employee Quality Affect Corporate Social Responsibility? Evidence from China. Sustainability 2020, 12, 2692 .

AMA Style

Shilu Sun, Tiantian Li, Hong Ma, Rita Yi Man Li, Kostas Gouliamos, Jianming Zheng, Yan Han, Otilia Manta, Ubaldo Comite, Teresa Barros, Nelson Duarte, Xiao-Guang Yue. Does Employee Quality Affect Corporate Social Responsibility? Evidence from China. Sustainability. 2020; 12 (7):2692.

Chicago/Turabian Style

Shilu Sun; Tiantian Li; Hong Ma; Rita Yi Man Li; Kostas Gouliamos; Jianming Zheng; Yan Han; Otilia Manta; Ubaldo Comite; Teresa Barros; Nelson Duarte; Xiao-Guang Yue. 2020. "Does Employee Quality Affect Corporate Social Responsibility? Evidence from China." Sustainability 12, no. 7: 2692.

Editorial
Published: 03 February 2020 in Journal of Risk and Financial Management
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Recently, a novel coronavirus pneumonia (2019–nCoV) outbreak occurred in Wuhan, China, rapidly spreading first to the whole country, and then globally, causing widespread concern. From the perspectives of early warning and identification of risk, risk monitoring, and analysis, as well as risk management and handling, we propose corresponding solutions and recommendations, which include institutional cooperation, and to inform national and international policy-makers.

ACS Style

Xiao-Guang Yue; Xue-Feng Shao; Rita Yi Man Li; M. James C. Crabbe; Lili Mi; Siyan Hu; Julien S. Baker; Gang Liang. Risk Management Analysis for Novel Coronavirus in Wuhan, China. Journal of Risk and Financial Management 2020, 13, 22 .

AMA Style

Xiao-Guang Yue, Xue-Feng Shao, Rita Yi Man Li, M. James C. Crabbe, Lili Mi, Siyan Hu, Julien S. Baker, Gang Liang. Risk Management Analysis for Novel Coronavirus in Wuhan, China. Journal of Risk and Financial Management. 2020; 13 (2):22.

Chicago/Turabian Style

Xiao-Guang Yue; Xue-Feng Shao; Rita Yi Man Li; M. James C. Crabbe; Lili Mi; Siyan Hu; Julien S. Baker; Gang Liang. 2020. "Risk Management Analysis for Novel Coronavirus in Wuhan, China." Journal of Risk and Financial Management 13, no. 2: 22.

Conference paper
Published: 03 January 2020 in Advances in Intelligent Systems and Computing
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Construction sites are among the most hazardous venues. While most of the previous research has shed light on the human aspect, we propose to utilise the fast R-CNN object detection method to detect the construction hazard on sites and employ mixed reality to enable the artificial intelligence to detect the hazard. Fast region-based convolutional neural network object detection acquires expert knowledge to identify objects in the image. Unlike image classification, the complexity of object detection always implies an increase in complexity which demands solutions with regard to speed, accuracy and simplicity.

ACS Style

Rita Yi Man Li; Tat Ho Leung. Computer Vision and Hybrid Reality for Construction Safety Risks: A Pilot Study. Advances in Intelligent Systems and Computing 2020, 17 -22.

AMA Style

Rita Yi Man Li, Tat Ho Leung. Computer Vision and Hybrid Reality for Construction Safety Risks: A Pilot Study. Advances in Intelligent Systems and Computing. 2020; ():17-22.

Chicago/Turabian Style

Rita Yi Man Li; Tat Ho Leung. 2020. "Computer Vision and Hybrid Reality for Construction Safety Risks: A Pilot Study." Advances in Intelligent Systems and Computing , no. : 17-22.

Journal article
Published: 21 October 2019 in Sustainability
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Most studies focused on the introduction of new technologies have not investigated the psychological factors affecting the willingness to use them or conducted empirical studies to explore whether willingness and actual construction safety knowledge-sharing behavior are associated with fewer construction incidents. We conducted face-to-face and LinkedIn open-ended interviews as well as a global survey to study the willingness and actual behavior to share construction knowledge via social software Web 2.0, Internet of Things (IoT) and mobile apps. Then, the Partial Least Square-Structural Equation Model (PLS-SEM) for willingness and actual knowledge-sharing behavior, as well as the Multilayer Perceptron (MLP) Neural Network were used to illustrate the effect of various factors on predicting the willingness to share knowledge via Web 2.0, mobile apps and IoT. Results of the interviews found that practitioners use IoT for knowledge sharing, mainly because they do not want to fall behind the curve. PLS-SEM and MLP revealed that practitioners share construction safety knowledge are not driven by safety-related reasons such as safety awareness enhancement but perceived organization support from their companies. Employees who agree that their organization cared about their employees’ well-being was the strongest predictor in influencing people’s decision to use tools for knowledge sharing. Moreover, many respondents claimed that factors such as monetary rewards have little impact on motivating people to use tools for knowledge sharing.

ACS Style

Rita Yi Man Li; Beiqi Tang; Kwong Wing Chau. Sustainable Construction Safety Knowledge Sharing: A Partial Least Square-Structural Equation Modeling and A Feedforward Neural Network Approach. Sustainability 2019, 11, 5831 .

AMA Style

Rita Yi Man Li, Beiqi Tang, Kwong Wing Chau. Sustainable Construction Safety Knowledge Sharing: A Partial Least Square-Structural Equation Modeling and A Feedforward Neural Network Approach. Sustainability. 2019; 11 (20):5831.

Chicago/Turabian Style

Rita Yi Man Li; Beiqi Tang; Kwong Wing Chau. 2019. "Sustainable Construction Safety Knowledge Sharing: A Partial Least Square-Structural Equation Modeling and A Feedforward Neural Network Approach." Sustainability 11, no. 20: 5831.