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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.
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 StyleXuefeng 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 StyleXuefeng 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.
The worldwide outbreak of the COVID-19 has significantly increased the fear of individuals, which brings severe psychosocial stress and adverse psychological consequences, and become a serious public health problem. Based on the imprinting theory, this study investigates whether childhood experiences of SARS have an imprinting effect that significantly influences the fear of COVID-19. Furthermore, we propose that this effect is contingent on the applications of AI and big data. We test our framework with a sample of 1871 questionnaires that covered students in universities across all provincial regions in China, and the results suggest that the imprinting of SARS increases the individuals’ fear of COVID-19, and this effect is reduced with the applications of AI and big data. Overall, this study provides a novel insight of the fear caused by the childhood experience of the similar health crisis and the unique role of AI and big data applications into fighting against COVID-19.
Haitang Yao; Wei Liu; Chia-Huei Wu; Yu-Hsi Yuan. The imprinting effect of SARS experience on the fear of COVID-19: The role of AI and big data. Socio-Economic Planning Sciences 2021, 101086 .
AMA StyleHaitang Yao, Wei Liu, Chia-Huei Wu, Yu-Hsi Yuan. The imprinting effect of SARS experience on the fear of COVID-19: The role of AI and big data. Socio-Economic Planning Sciences. 2021; ():101086.
Chicago/Turabian StyleHaitang Yao; Wei Liu; Chia-Huei Wu; Yu-Hsi Yuan. 2021. "The imprinting effect of SARS experience on the fear of COVID-19: The role of AI and big data." Socio-Economic Planning Sciences , no. : 101086.
Rapid economic development has brought about the expansion of the supply chain. In the context of the demand for finance and emerging financial technology tools, supply chain finance on e-commerce platforms is developing rapidly. It not only strengthens the ability to serve the real economy, but also brings market risks caused by excessive supply chains. In the Internet era, IoT technology promotes the exchange of information, while it also has certain risk characteristics. This research implements the peaks over threshold (POT) model to investigate the value at risk (VaR) and expected loss (ES) in the supply chain of e-commerce platforms under the risk of unexpected changes in the market. The study finds that the supply chain of e-commerce platforms based on Internet of Things (IoT) technology suffers less risk in losses. The application and expansion of this technology will effectively lower the market risk of supply chain finance and better serve economic development.
Hongxin Yu; Yuanjun Zhao; Zheng Liu; Wei Liu; Shuai Zhang; Fatao Wang; Lihua Shi. Research on the financing income of supply chains based on an E-commerce platform. Technological Forecasting and Social Change 2021, 169, 120820 .
AMA StyleHongxin Yu, Yuanjun Zhao, Zheng Liu, Wei Liu, Shuai Zhang, Fatao Wang, Lihua Shi. Research on the financing income of supply chains based on an E-commerce platform. Technological Forecasting and Social Change. 2021; 169 ():120820.
Chicago/Turabian StyleHongxin Yu; Yuanjun Zhao; Zheng Liu; Wei Liu; Shuai Zhang; Fatao Wang; Lihua Shi. 2021. "Research on the financing income of supply chains based on an E-commerce platform." Technological Forecasting and Social Change 169, no. : 120820.
As one of the main reference data of weather forecast, weather radar echo image is very important to the stability of agricultural production. Different radar echo patterns represent different disastrous weather, such as hail, severe convection, and so on. Weather radar echo shape prediction can help meteorologists to judge the future changes of disastrous weather, help to avoid the harm of extreme weather to agriculture, and minimize agricultural economic losses. With the application of deep learning in the meteorological field, the deep learning method shows great potential in radar echo prediction. However, there are few research methods to predict the change of weather radar echo shape. This paper presents a radar echo prediction method based on c Convolutional Neural Networks and Long Short-Term Memory networks, which can effectively predict the shape of weather radar echo. The actual data is used to train and test our model. Experiments show that the model can accurately predict the change of echo shape. The quantitative evaluation of the model uses detection probability, false alarm rate, critical success index, and heidke skill score. The average scores predicted by this model in 1.5 h were 0.8223,0.2012,0.6812 and 0.7564, respectively, which were better than those predicted by ConvLSTM and TrajGRU models. The qualitative and quantitative results verify the effectiveness of the model, which shows that the model can be effectively applied to the actual weather forecast and improve the stability of agricultural production.
Lei Zhang; ZhenYue Huang; Wei Liu; Zhongli Guo; Zhe Zhang. Weather radar echo prediction method based on convolution neural network and Long Short-Term memory networks for sustainable e-agriculture. Journal of Cleaner Production 2021, 298, 126776 .
AMA StyleLei Zhang, ZhenYue Huang, Wei Liu, Zhongli Guo, Zhe Zhang. Weather radar echo prediction method based on convolution neural network and Long Short-Term memory networks for sustainable e-agriculture. Journal of Cleaner Production. 2021; 298 ():126776.
Chicago/Turabian StyleLei Zhang; ZhenYue Huang; Wei Liu; Zhongli Guo; Zhe Zhang. 2021. "Weather radar echo prediction method based on convolution neural network and Long Short-Term memory networks for sustainable e-agriculture." Journal of Cleaner Production 298, no. : 126776.
This review examines literature from 2011 to 2020 on information and communications technologies (ICTs) and blockchain technologies (BTs) in agriculture. To describe the status of the subjects and identify issues for future research, we utilized bibliometric and content analyses of leading journals. The main findings are: (1) ICT technique adoption is affected by application design and socio-demographic factors, while research in BTs in this area only focuses on application design factors; (2) ICTs and BTs have similar applications in agricultural production (information provision for efficient decisions and production improvement), logistics (tracing), and supply chain (trust-building); (3) ICT techniques are applied more to production improvement, while BTs focus more on using visibility, traceability, and automation to improve transparency and transaction efficiency in whole sectors; (4) in relation to consumption, ICTs focus on balancing supply and demand to achieve market stability, while BTs investigate effects on consumer purchasing decisions. Insights are also proposed for future research based on common challenges in the application of ICT and blockchain in agriculture in the following areas: (i) security and privacy protection; (ii) solutions for scalability and interoperability; (iii) solutions for high cost and high consumption, and demands for high knowledge in technology application; (iv) formulation of policies and regulations related to standard criteria for market stability. This review provides a basis for studying the combination of ICTs and BTs in agriculture and furthers the understanding of their usage by comparison; this has significant implications for technological development and agricultural sustainability.
Wei Liu; Xue-Feng Shao; Chia-Huei Wu; Ping Qiao. A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development. Journal of Cleaner Production 2021, 298, 126763 .
AMA StyleWei Liu, Xue-Feng Shao, Chia-Huei Wu, Ping Qiao. A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development. Journal of Cleaner Production. 2021; 298 ():126763.
Chicago/Turabian StyleWei Liu; Xue-Feng Shao; Chia-Huei Wu; Ping Qiao. 2021. "A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development." Journal of Cleaner Production 298, no. : 126763.
The pilot program of low-carbon cities is of great significance for China’s overall economic and social development. The construction of low-carbon cities contributes to adjusting the industrial structure, optimizing the energy structure and accelerating institutional reforms. Using the panel data of 285 prefecture-level cities during 2006–2015, this paper takes the pilot program of low-carbon cities as a quasi-natural experiment to detect the impact of the pilot program on industrial structure upgrading and its possible mechanism. The results reveal that the construction of low-carbon cities displays a positive impact on industrial structure supererogation while it has little effect on industrial structure rationalization. Ventilation coefficient is regarded as an instrumental variable to address endogenous problems. The conclusions are still tenable after a series of robustness tests. Mechanism analysis shows that the pilot program can bolster industrial structure supererogation via technological innovation and the reduction of the proportion of high-carbon industries. The regional heterogeneity analysis indicates that the influence of the pilot program on the industrial structure supererogation in the central and western areas is more positive than that in the eastern area, whereas the impact of the pilot program on the industrial structure rationalization is not significant in the three areas. The heterogeneity analysis of environmental law enforcement indicates that the pilot program can more obviously bump up the industrial structure supererogation in cities with strong law enforcement intensity. The impact on the industrial structure rationalization is not evident in cities with weak law enforcement intensity, but the industrial structure rationalization is significantly improved in cities with strong law enforcement intensity. This paper provides insights for realizing the integrated development of low-carbon cities and industrial structure upgrading.
Jingjing Zheng; Xuefeng Shao; Wei Liu; Jie Kong; Gaoshan Zuo. The impact of the pilot program on industrial structure upgrading in low-carbon cities. Journal of Cleaner Production 2021, 290, 125868 .
AMA StyleJingjing Zheng, Xuefeng Shao, Wei Liu, Jie Kong, Gaoshan Zuo. The impact of the pilot program on industrial structure upgrading in low-carbon cities. Journal of Cleaner Production. 2021; 290 ():125868.
Chicago/Turabian StyleJingjing Zheng; Xuefeng Shao; Wei Liu; Jie Kong; Gaoshan Zuo. 2021. "The impact of the pilot program on industrial structure upgrading in low-carbon cities." Journal of Cleaner Production 290, no. : 125868.
The effect of R&D teams on new product development has been recognised, but debates remain regarding the influence of experienced R&D teams on product uniqueness. This study identifies the type of experience attribute in R&D teams and how it can influence product uniqueness using a sample of 140 Chinese small and medium-sized high-tech start-ups. Results indicate that a U-shaped relationship occurs between R&D team experience depth, breadth, and product uniqueness, and the curvilinear relationship between R&D team experience depth and product uniqueness can be weakened by the degree of executive embeddedness. It suggests that the embeddedness of top managers and the organic composition of team members’ experience attributes should be emphasised to develop unique products.
Liangxing He; Leven J. Zheng; Yulin Wu; Chia-Huei Wu; Wei Liu. The effect of experienced R&D teams on producing unique products: analysis of 140 small and medium-sized high-Tech start-ups in China. Technology Analysis & Strategic Management 2020, 33, 871 -884.
AMA StyleLiangxing He, Leven J. Zheng, Yulin Wu, Chia-Huei Wu, Wei Liu. The effect of experienced R&D teams on producing unique products: analysis of 140 small and medium-sized high-Tech start-ups in China. Technology Analysis & Strategic Management. 2020; 33 (8):871-884.
Chicago/Turabian StyleLiangxing He; Leven J. Zheng; Yulin Wu; Chia-Huei Wu; Wei Liu. 2020. "The effect of experienced R&D teams on producing unique products: analysis of 140 small and medium-sized high-Tech start-ups in China." Technology Analysis & Strategic Management 33, no. 8: 871-884.
Building on institutional theory, this study investigates the impact of local officials' turnover on corporate philanthropy in China. Using data from Chinese listed firms from 2000–2015, we find that when city-level officials are replaced, firms increase the amount of money they donate. We also note that such positive relationship is stronger when the turnover of a local secretary is unexpected or when the firm experiences stronger performance than in the prior year. Further in-depth analysis shows that the positive impact of the turnover of local officials becomes more salient when firms have high levels of state ownership.
Wei Liu; Marco De Sisto; Wen Helena Li. How does the turnover of local officials make firms more charitable? A comprehensive analysis of corporate philanthropy in China. Emerging Markets Review 2020, 46, 100748 .
AMA StyleWei Liu, Marco De Sisto, Wen Helena Li. How does the turnover of local officials make firms more charitable? A comprehensive analysis of corporate philanthropy in China. Emerging Markets Review. 2020; 46 ():100748.
Chicago/Turabian StyleWei Liu; Marco De Sisto; Wen Helena Li. 2020. "How does the turnover of local officials make firms more charitable? A comprehensive analysis of corporate philanthropy in China." Emerging Markets Review 46, no. : 100748.
How do governments take strategic actions in weaving public health and safety nets to respond to the COVID-19 pandemic? Embracing Moore’s strategic action framework, this study investigates how municipal governments can configure authorizing environment—operational capacity—public value attributes to weave public health and safety nets, in order to prevent and control the public health and safety emergency. Leveraging fuzzy-set Qualitative Comparative Analysis (fsQCA) with a sample of 323 Chinese cities, we identify a distinctive taxonomy of four equally effective configurations of urban actions in blocking COVID-19 transmission: social reassurance, proactive defence, decisive resiliency, and strengthened coercion. Overall, this study provides a novel insight of public health and safety management into battles against COVID-19 in human society.
Di Fan; Yi Li; Wei Liu; Xiao-Guang Yue; Georgios Boustras. Weaving public health and safety nets to respond the COVID-19 pandemic. Safety Science 2020, 134, 105058 -105058.
AMA StyleDi Fan, Yi Li, Wei Liu, Xiao-Guang Yue, Georgios Boustras. Weaving public health and safety nets to respond the COVID-19 pandemic. Safety Science. 2020; 134 ():105058-105058.
Chicago/Turabian StyleDi Fan; Yi Li; Wei Liu; Xiao-Guang Yue; Georgios Boustras. 2020. "Weaving public health and safety nets to respond the COVID-19 pandemic." Safety Science 134, no. : 105058-105058.
This paper examined the causal relationship between economic growth and carbon dioxide emissions (CO2) in Rwanda using annual data from 1960–2014. The study was conducted within the framework of the environmental Kuznets curve (EKC) hypothesis using the rolling-window bootstrap Granger causality test approach with a rolling-window size of 15 years. The methodology allows for non-constancy in the parameters of the vector autoregression (VAR) model in the short run as well as in the long run. The study found bi-direction causality between the real gross domestic product (GDP) and CO2 emissions in metric tons per capita. The results from the rolling-window bootstrap Granger causality test show that GDP negatively influenced CO2 emissions in the 1976–1977, 1990–1993, 2005–2006, and 2007–2013 sub-sample periods. This result depicts a monotonically decreasing EKC, contrary to the standard EKC relationship. The downward-sloping EKC was explained by the transition of the Rwandan economy from an industrial-based economy to a service-based economy. Further, a feedback effect from CO2 emissions to the economy was established.
Felix Nutakor; Sylvestre Bizumuremyi; Jinke Li; Wei Liu. Does the Environmental Kuznets Curve for CO2 Emissions Exist for Rwanda? Evidence from Bootstrapped Rolling-Window Granger Causality Test. Sustainability 2020, 12, 8636 .
AMA StyleFelix Nutakor, Sylvestre Bizumuremyi, Jinke Li, Wei Liu. Does the Environmental Kuznets Curve for CO2 Emissions Exist for Rwanda? Evidence from Bootstrapped Rolling-Window Granger Causality Test. Sustainability. 2020; 12 (20):8636.
Chicago/Turabian StyleFelix Nutakor; Sylvestre Bizumuremyi; Jinke Li; Wei Liu. 2020. "Does the Environmental Kuznets Curve for CO2 Emissions Exist for Rwanda? Evidence from Bootstrapped Rolling-Window Granger Causality Test." Sustainability 12, no. 20: 8636.
Super-absorbent polymers (SAPs) are a family of functional polymer material, with a high water absorption function. It absorbs water hundreds to thousands of times heavier than itself and has excellent water retention performance. Once the water absorption expands into a hydrogel, it is difficult to separate the water even under pressure. This article describes the water absorption and retention capacity of polymer water-absorbent resin, a compound that can solve the problem of water shortages in agriculture, which is very important for the development of modern agriculture.
Fujin Ai; Xiuzhao Yin; Ruochi Hu; Hailing Ma; Wei Liu. Research into the super-absorbent polymers on agricultural water. Agricultural Water Management 2020, 245, 106513 .
AMA StyleFujin Ai, Xiuzhao Yin, Ruochi Hu, Hailing Ma, Wei Liu. Research into the super-absorbent polymers on agricultural water. Agricultural Water Management. 2020; 245 ():106513.
Chicago/Turabian StyleFujin Ai; Xiuzhao Yin; Ruochi Hu; Hailing Ma; Wei Liu. 2020. "Research into the super-absorbent polymers on agricultural water." Agricultural Water Management 245, no. : 106513.
The true potential of the industry 4.0, which is a byproduct of the fourth industrial revolution, cannot be actually realized. This is, of course true, until the smart factories in the supply chains get connected to each other, with their systems and the machines linked to a common networking system. The last few years have experienced an increase in the adoption and acceptance of the industry 4.0′s components. However, the next stage of smart factories, which will be the smart supply chains, is still in its period of infancy. Moreover, there is a simultaneous need to maintain a focus on the supply chain level implementation of the concept that industry 4.0 puts forth. This is important in order to gain the end to end benefits, while also avoiding the organization to organization compatibility issues that may follow later on. When considering this concept, limited research exists on the issues related to the implementation of industry 4.0, at the supply chain level. Hence, keeping in mind this lack of literature and research available, on a phenomenon that will define the future of business and industry, this study uses an exploratory approach to capture the implementation of industry 4.0 concepts across multiple tiers of the supply chain. Based on this research, the study proposes a multistage implementation framework that highlights the organizational enablers such as culture, cross-functional approach, and the continuous improvement activities. Furthermore, it also highlights the staged implementation of the advanced tools, starting from the focal organization with the subsequent integration with the partner organizations.
Xue-Feng Shao; Wei Liu; Yi Li; Hassan Rauf Chaudhry; Xiao-Guang Yue. Multistage implementation framework for smart supply chain management under industry 4.0. Technological Forecasting and Social Change 2020, 162, 120354 -120354.
AMA StyleXue-Feng Shao, Wei Liu, Yi Li, Hassan Rauf Chaudhry, Xiao-Guang Yue. Multistage implementation framework for smart supply chain management under industry 4.0. Technological Forecasting and Social Change. 2020; 162 ():120354-120354.
Chicago/Turabian StyleXue-Feng Shao; Wei Liu; Yi Li; Hassan Rauf Chaudhry; Xiao-Guang Yue. 2020. "Multistage implementation framework for smart supply chain management under industry 4.0." Technological Forecasting and Social Change 162, no. : 120354-120354.
The purpose of this research is to consider if the growing popularity of sustainable investment does not create additional risks in investing. Different views on sustainable investments were analyzed to identify different approaches to the main risks. A quantitative analysis was carried out to investigate the possible benefits and advantages of sustainable investment. Without taking into account the social perks of investing in sustainable funds, this study evaluates the performance and economic returns of both sustainable and traditional funds. The research was carried out in two parts by comparing samples of 30 sustainable and 30 traditional funds. Firstly, such methods as annual returns, standard deviations, Sharpe ratios, skewness, and kurtosis were calculated and analyzed. The Capital Asset Pricing Model (CAPM), Fama–French three-factor model and Carhart four-factor model were used to value different market portfolios. The findings of this study suggest that sustainable funds are less risky than traditional funds. However, at the same time, we want to point to pay attention to the period of our analysis and to have in mind that an increasing demand of social responsible assets increases risks as well. However, no clear evidence was found to confirm that sustainable funds can generate higher returns compared to traditional piers or benchmark index. Moreover, after studying different methods the study reveals that the Fama–French three-factor model was the most suitable for explaining the traditional and sustainable funds’ results.
Xiao-Guang Yue; Yan Han; Deimante Teresiene; Justina Merkyte; Wei Liu. Sustainable Funds’ Performance Evaluation. Sustainability 2020, 12, 8034 .
AMA StyleXiao-Guang Yue, Yan Han, Deimante Teresiene, Justina Merkyte, Wei Liu. Sustainable Funds’ Performance Evaluation. Sustainability. 2020; 12 (19):8034.
Chicago/Turabian StyleXiao-Guang Yue; Yan Han; Deimante Teresiene; Justina Merkyte; Wei Liu. 2020. "Sustainable Funds’ Performance Evaluation." Sustainability 12, no. 19: 8034.
This paper builds a conceptual model of the relationship between structural hole location, knowledge management, and collaborative innovation performance in the artificial intelligence environment. A questionnaire survey was conducted on 267 companies, and sample data were analysed using SEM statistics. In the artificial intelligence environment, under the influence of the embedded relationship of the collaborative innovation network structure, the influence of network structure hole position on the performance of collaborative innovation is discussed. The research results show that the location of network structure holes has a direct impact on the performance of collaborative innovation; At the same time, the location of network structure holes has a significant positive impact on knowledge management, and knowledge management plays a part of the mediating role in the process of network structure hole locations affecting collaborative innovation performance.
Hui Wu; Xiaomin Gu; Yuanjun Zhao; Wei Liu. Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice 2020, 1 -10.
AMA StyleHui Wu, Xiaomin Gu, Yuanjun Zhao, Wei Liu. Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice. 2020; ():1-10.
Chicago/Turabian StyleHui Wu; Xiaomin Gu; Yuanjun Zhao; Wei Liu. 2020. "Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence." Knowledge Management Research & Practice , no. : 1-10.
This paper aims to reexamine the relationship between corporate social responsibility (CSR) and corporate financial performance (CFP) using a panel dataset of Chinese listed firms. Previous studies obtained divergent empirical evidence on the CSR-CFP relationship due to unclear, incomplete, or inappropriate consideration of endogeneity issues. By introducing a Heckman-2SLS model, we comprehensively address the main endogeneity problems (i.e., sample selection bias, reverse causality, and unobserved heterogeneity) simultaneously within the CSR-CFP relationship. Results not only indicate a robust CSR-CFP relationship after correcting for endogeneity issues but also serve as a strong case for future investigation and correction of endogeneity issues.
Wei Liu; Xuefeng Shao; Marco De Sisto; Wen Helena Li. A new approach for addressing endogeneity issues in the relationship between corporate social responsibility and corporate financial performance. Finance Research Letters 2020, 39, 101623 .
AMA StyleWei Liu, Xuefeng Shao, Marco De Sisto, Wen Helena Li. A new approach for addressing endogeneity issues in the relationship between corporate social responsibility and corporate financial performance. Finance Research Letters. 2020; 39 ():101623.
Chicago/Turabian StyleWei Liu; Xuefeng Shao; Marco De Sisto; Wen Helena Li. 2020. "A new approach for addressing endogeneity issues in the relationship between corporate social responsibility and corporate financial performance." Finance Research Letters 39, no. : 101623.
The ongoing outbreak of the novel coronavirus disease (COVID-19) that occurred in China is rapidly spreading globally. China’s bond and strict containment measures have been proved (in practice) to significantly reduce the spread of the epidemic. This was obtained through the use of emergency control measures in the epidemic areas and the integration of resources from multiple systems, including business, community, technology, education, and transportation, across the country. In order to better understand how China has managed to reduce the public health and economic impacts of the COVID-19 epidemic, this editorial systematically reviews the specific measures for infection prevention and control of the disease. The best practices for COVID-19 eradication in China provide evidence-based strategies that could be replicated in other countries.
Wei Liu; Xiao-Guang Yue; Paul B. Tchounwou. Response to the COVID-19 Epidemic: The Chinese Experience and Implications for Other Countries. International Journal of Environmental Research and Public Health 2020, 17, 2304 .
AMA StyleWei Liu, Xiao-Guang Yue, Paul B. Tchounwou. Response to the COVID-19 Epidemic: The Chinese Experience and Implications for Other Countries. International Journal of Environmental Research and Public Health. 2020; 17 (7):2304.
Chicago/Turabian StyleWei Liu; Xiao-Guang Yue; Paul B. Tchounwou. 2020. "Response to the COVID-19 Epidemic: The Chinese Experience and Implications for Other Countries." International Journal of Environmental Research and Public Health 17, no. 7: 2304.
In 2016, the issue of the Environmental Protection Tax Law indicated the enhancement of environmental protection in China. This study examines the market reaction to firms in heavy-polluting industries, and the effects of external legal institutional quality and internal environmental disclosure on firm value around the passage of Environmental Protection Tax Law. Using an event study approach coupled with ordinary least square regressions, the researchers find a significantly negative market reaction to firms in heavy-polluting industries, but this negative reaction varies depending on the expected increase in future regulatory costs. Specifically, the above negative reaction is stronger when the firm reveals that itself or its subsidiary belongs to heavy-polluting industry, however it would be mitigated when a firm is in a region with better quality of legal institutions or discloses environmental improvement activities. Overall, the results are consistent with the market perceiving that the environmental protection tax law enacted would increase regulatory costs for firms in heavy-polluting industries, and also show the higher-quality regional legal institutions and more efforts on environmental protection could relieve the market’s pessimism caused by uncertainty.
Wen-Jun Tu; Xiao-Guang Yue; Wei Liu; M. James C. Crabbe. Valuation Impacts of Environmental Protection Taxes and Regulatory Costs in Heavy-Polluting Industries. International Journal of Environmental Research and Public Health 2020, 17, 2070 .
AMA StyleWen-Jun Tu, Xiao-Guang Yue, Wei Liu, M. James C. Crabbe. Valuation Impacts of Environmental Protection Taxes and Regulatory Costs in Heavy-Polluting Industries. International Journal of Environmental Research and Public Health. 2020; 17 (6):2070.
Chicago/Turabian StyleWen-Jun Tu; Xiao-Guang Yue; Wei Liu; M. James C. Crabbe. 2020. "Valuation Impacts of Environmental Protection Taxes and Regulatory Costs in Heavy-Polluting Industries." International Journal of Environmental Research and Public Health 17, no. 6: 2070.
In this paper, we introduce how to identify, rank, evaluate, and respond to risks based on intelligent information processing, providing new ideas and research directions for sustainable emergency management. First, we discuss the contributions and deficiencies of the existing research that have informed the development and launch of this Special Issue and, second, we provide an overview of the three articles included. In addition, this article introduces this particular Special Issue, not only to complement the somewhat lacking body of related literature, but also to help contemporary companies deal with issues related to sustainable emergency management based on intelligent information processing.
Yu-Meng Luo; Wei Liu; Xiao-Guang Yue; Marc A. Rosen. Sustainable Emergency Management Based on Intelligent Information Processing. Sustainability 2020, 12, 1081 .
AMA StyleYu-Meng Luo, Wei Liu, Xiao-Guang Yue, Marc A. Rosen. Sustainable Emergency Management Based on Intelligent Information Processing. Sustainability. 2020; 12 (3):1081.
Chicago/Turabian StyleYu-Meng Luo; Wei Liu; Xiao-Guang Yue; Marc A. Rosen. 2020. "Sustainable Emergency Management Based on Intelligent Information Processing." Sustainability 12, no. 3: 1081.
Many domestic enterprises in emerging economies are concerned with the question of how to better utilize the portfolio of technology sourcing channels to achieve rapid economic growth by technological innovation. This paper looks at this issue by exploring the impacts of knowledge acquisition diversity (KAD) on innovation performance of domestic enterprises in China and the technological contexts (in terms of technology gap and technology development speed) under which KAD is most likely to contribute. Using panel data of the manufacturing industry in China over the 2001–2009 period, the results show that KAD has an inverse U-shaped relationship with innovation performance in terms of both product-related innovation performance (NPS) and knowledge-related innovation performance (PAT). Specifically, it reveals that the capability to generate technological innovation over time is dependent on how domestic enterprises manage their portfolio of knowledge sourcing channels to learn from foreign enterprises. Moreover, it is shown that the technology gap significantly moderates the inverted U-shaped relationship between KAD and both NPS and PAT. Technology development speed has a moderating effect on the inverted U-shaped relationship between KAD and innovation only in terms of NPS. The results of this study can help us to understand the relationships among technological contexts, KAD and innovation performance of domestic enterprises in emerging countries.
Qiang Li; Jing-Jing Guo; Wei Liu; Xiao-Guang Yue; Nelson Duarte; Carla Pereira. How Knowledge Acquisition Diversity Affects Innovation Performance during the Technological Catch-Up in Emerging Economies: A Moderated Inverse U-Shape Relationship. Sustainability 2020, 12, 945 .
AMA StyleQiang Li, Jing-Jing Guo, Wei Liu, Xiao-Guang Yue, Nelson Duarte, Carla Pereira. How Knowledge Acquisition Diversity Affects Innovation Performance during the Technological Catch-Up in Emerging Economies: A Moderated Inverse U-Shape Relationship. Sustainability. 2020; 12 (3):945.
Chicago/Turabian StyleQiang Li; Jing-Jing Guo; Wei Liu; Xiao-Guang Yue; Nelson Duarte; Carla Pereira. 2020. "How Knowledge Acquisition Diversity Affects Innovation Performance during the Technological Catch-Up in Emerging Economies: A Moderated Inverse U-Shape Relationship." Sustainability 12, no. 3: 945.
In recent years, deglobalization and protectionism have been prevalent in different regions of the world (Evenett 2019; Prashantham et al
Xue-Feng Shao; Wei Liu; Xiao-Guang Yue. Editorial for the Special Issue on “The Belt and Road-Risks and Financial Management Issues Faced by Enterprises’ Internationalization”. Journal of Risk and Financial Management 2020, 13, 10 .
AMA StyleXue-Feng Shao, Wei Liu, Xiao-Guang Yue. Editorial for the Special Issue on “The Belt and Road-Risks and Financial Management Issues Faced by Enterprises’ Internationalization”. Journal of Risk and Financial Management. 2020; 13 (1):10.
Chicago/Turabian StyleXue-Feng Shao; Wei Liu; Xiao-Guang Yue. 2020. "Editorial for the Special Issue on “The Belt and Road-Risks and Financial Management Issues Faced by Enterprises’ Internationalization”." Journal of Risk and Financial Management 13, no. 1: 10.