bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization Analysis of Emergency Material Distribution Methods Based on Complex Network Model and Cluster Analysis Model
Authors: Shi Yanqing , Yu Yihang , Zhu Qing , Jiang Songjun , Wu Han , Su Yuanfang
Published: September 2022

In order to ensure people's normal life, it is especially important to deliver emergency supplies in a timely and accurate manner. Along with the improvement of technology and the gradual popularization of 5G network, the application of drones is becoming more and more widespread, and the delivery mode of "delivery vehicle + drone" has gradually become a new and effective delivery method. The delivery mode of "delivery vehicle + drone" refers to the following: in the process of material delivery, the delivery vehicle delivers to a certain location at the same time, the drone can also deliver to the surrounding feasible locations, and return to the delivery vehicle to reload the materials and replace the battery after the delivery is completed. This distribution mode can greatly improve the efficiency of emergency supplies distribution, and can also solve the distribution of supplies under complex road conditions and avoid secondary damage to people from secondary disasters. This paper is motivated to study the distribution mode of emergency supplies based on complex network model and cluster analysis model.
Composition of Electron Transport Layers in Organic Solar Cells (OSCs).
Authors: Wang Yuxin , Tan Sin Tee
Published: September 2022

The research on organic solar cells has attracted researcher attention because of their flexibility, low cost and relatively simple processing methods. However, the efficiency issue is the shortcoming of organic solar energy, and one of the key factors affecting the power conversion rate is the utilization of electron transport layer. Among the materials used for the electron transport layer, metal oxides are widely used due to their stability, ease of preparation and tunable energy band structure. This article review the advantages and disadvantages of metal oxides as electron transport layers particulary focus on SnO2, TiO2 and ZnO. The different nanostructures properties of the materials is also explores. A brief discussion on the use of metal oxides as electron transport layers in improving the performance of organic solar cells in the future is also elucidated.
The Study of Visualization and Modeling of Full Potential Equation with the Influence of Small Disturbance Based on Python
Authors: Chen Yuwen
Published: September 2022

This paper design a program based on the full potential equation aiming to visualize the fluid field around the disturbances and see how the disturbances influence the fluid flow. In the process, this article use central difference scheme for subsonic cases, while for supersonic cases, upwind scheme is applied to rewrite the equation to get the exact models. And also calculate the error to show that the models work well. The error graph shows that the results of the modeling. Fit the full potential equation theory which means the method is feasible.
Semi-supervised Blindness Detection with Neural Network Ensemble
Authors: Hu Jinghan
Published: September 2022

Diabetic retinopathy (DR), a common complication of diabetes mellitus, is a major cause of visual loss among the working-age population. Since DR vision loss is irreversible, early detection of DR is crucial for preventing vision loss in patients. However, manual detection of DR remains time costly and inefficient. In this paper, an ensemble of 6 pre-trained neural networks (including EfficientNets, ResNet, and Inception) are combined. The compatibility of different networks is tested by creating different combinations of networks and evaluating their relative performance. Pseudo-labelling is used to further increase accuracy. With a limited training data set of only 5592 images, the final neural network ensemble achieved an accuracy of 0.864.
The study of Simulation Intelligent Analysis System of UAV Control On the basis of Computer Big Data Technology
Authors: Qu Haoming , Yan Hongkui , Sun Bo , Niu Weijia
Published: September 2022

With the advent of the era of computer big data, the application of big data is increasing. Computer big data technology is suitable for the analysis of UAV simulation intelligent system, which can clarify its practicability. After the intelligent analysis system is put into use, the accuracy of UAV control is improved. The UAV flight control system is the core part of UAV, and the performance of UAV depends on the design of its flight control system to a great degree. In this paper, the intelligent analysis system of UAV control simulation is studied. The accuracy of massive data set algorithm with adaptive selection and adjustment strategy and the complex causal relationship between data in the intelligent analysis system of UAV control simulation under computer big data technology are studied. The research results show that the global optimization of the whole process can be ensured by combining the structural characteristics and algorithms of data-to-data association algorithm, and the data is more than 58.96%. Therefore, the intelligent analysis system of airborne software simulation, which provides guarantee for the research and development of UAV control through testing, has a certain market application space and prospect.
Malaxis cylindrostachya (Lindl.) Kuntze (Orchidaceae): a new record for West Bengal
Authors: Agrawala D. , Sabapathy C.
Published: September 2022

Malaxis cylindrostachya (Lindl.) Kuntze is described as a new orchid record for the flora of West Bengal.
Twitter’s Disputed Tags May Be Ineffective at Reducing Belief in Fake News and Only Reduce Intentions to Share Fake News Among Democrats and Independents
Authors: Lees Jeffrey , McCarter Abigail , Sarno Dawn M.
Published: September 2022

Throughout the 2020 US elections, one of Twitter’s defenses against misinformation was its “This claim has been disputed” tags. The utility of such tags, however, remains unclear. A survey-based experiment, meant to simulate the Twitter environment, with a convenience sample of 318 US participants found that while disputed tags reduced the sharing of misinformation among Democrats and Independents, they had no effect on the sharing habits of Republicans and did not reduce belief in fake news for any group. We also found that higher scores on the Cognitive Reflection Test (a measure of analytical rather than intuitive thinking) correlated with lower belief in fake news, but had no relationship with sharing habits. Further, conservatism positively correlated with belief in and sharing intentions for tagged false headlines, but not untagged false headlines or true headlines. Our results suggest that the tags employed by Twitter to combat the spread of fake news may have been ineffective at reducing belief in fake news, and may only have attenuated fake news sharing among Democrats and Independents.
Mini review on approach, teaching aspects, and common pitfalls in dealing with bradyarrhythmia
Authors: Elbaih Adel , Jihwaprani Muhammad , Mousa Ahmad , Alhaimi Mohammed
Published: September 2022

Bradyarrhythmias are of a wide variety and are generally considered common. While some bradyarrhythmias are benign and do not necessitate any medical intervention, some might be fatal thus require immediate emergency department actions; or otherwise, cardiac arrest and death may ensue. The key to the management of bradyarrhythmias in the emergency department lies in its early identification by a thorough history, physical examination, and ECG interpretation. Accordingly, the management plan is reflected by the presence of symptoms and their severity, vital signs status of the patients, ECG patterns, underlying causes, and possible reversibility. As medical students learn the theoretical and practical approaches to the management of bradyarrhythmias in the Emergency Department (ED), there are common pitfalls that they encounter, and those pitfalls could be serious and lethal in some instances. Knowledge about the correct way of assessing, diagnosing, and treating bradyarrhythmia patients, and avoiding the common pitfalls that they may face is critical. This paper aims to review the definition of bradyarrhythmia, its various classification, the clinical approach to the condition according to the approved guidelines, and how to subsequently manage the condition. Additionally, our study aims to guide the appropriate response on dealing with bradyarrhythmia patients, by determining the priorities of management and assessing the clinical presentation based on the stability of the patient, and by providing a training protocol for Emergency Physicians. In this review article, a literature search on bradyarrhythmia was performed in terms of methodology, diagnosis, and management. The MeSH included these keywords: “Bradycardia” OR “Bradyarrhythmia” AND “Prevalence” OR “ECG Interpretation” OR “ACLS” OR “Bradyarrhythmia Protocols”..
Sudden cardiac arrest after severe lung bleeding in a COVID-19 patient
Authors: Ozkan Ahmet , Sanli Mukadder , Karaaslan Erol , Sahin Mahmut
Published: September 2022

Covid-19 is a disease with clinical symptoms such as fever, cough, fatigue, and lung involvement. Patients with lung involvement may be mortal and cause some fatal complications. In this case report, the management of cardiac arrest following sudden and severe pulmonary hemorrhage in a patient with a lung mass was presented.
A rare cause of late postpartum convulsion: Cerebral venous sinus thrombosis
Authors: Ergenoglu Pinar
Published: September 2022

Cerebral venous sinus thrombosis (CVST) is a severe and rare pregnancy complication. The most common symptom is a headache. However, it is less common for headaches to be accompanied by seizures. Postpartum eclampsia (PPE) traditionally refers to convulsions within seven days, but convulsions can occur up to 4 weeks after birth. In this case report, we present our patient who developed cerebral venous sinus thrombosis, which is a very rare complication of the postpartum period and can be confused with late postpartum eclampsia.
Alterations of selected serum biochemical and urinary parameters in dogs with chronic enteropathy
Authors: Gori Eleonora , Lippi Ilaria , Ansaldo Giulia , Gianella Paola , Perondi Francesca , Pierini Alessio , Marchetti Veronica
Published: September 2022

Background: no specific study on concurrent nephropathy has been conducted in dogs with chronic enteropathy (CE), except for soft coated wheaten terriers. Moreover, limited information exists regarding urinary profile in dogs with CE.
Aim: to describe, compare, and discuss the alterations in selected serum biochemical and urinary parameters in dogs with CE.
Methods: multicentric retrospective study on dogs with CE diagnosed after exclusion of extra-gastrointestinal diseases. In addition, dogs with azotemia and lower urinary tract diseases were excluded. Information on Canine Chronic Enteropathy Activity Index Score (CCECAI), muscular condition score (MCS), presence of glycosuria, proteinuria [urine protein-to-creatinine (UPC) ratio>0.5], and/or cylindruria (>1-2 casts/hpf) at diagnosis were gleaned from the medical records. Dogs were retrospectively classified as food-responsive enteropathy (FRE), immunosuppressant-responsive enteropathy (IRE) or non-responsive enteropathy (NRE) based on the presence of gastrointestinal histological inflammation and the treatment response. In addition, based on serum albumin concentration, dogs were classified as having protein-losing enteropathy.
Results: ninety CE dogs were included. Fifty-two dogs had mildly-to-severely decreased MCS and 38 dogs showed altered urinary parameters. No significant associations were found between CCECAI and altered urinary parameters. No significant association was found between PLE dogs and altered urinary parameters. PLE dogs showed higher prevalence of proteinuria than non-PLE dogs (p=0.03 OR 2.8 95%CI 1-6.8).
Conclusion: despite the presence of altered urinary profile in dogs with CE, further studies are needed to explore a possible link between gastrointestinal and renal inflammation.
Development of LSN-based pipe repair rate models utilising data from the 2011 Christchurch earthquakes
Authors: Moratalla Jose , Sadashiva Vinod
Published: September 2022

The Canterbury Earthquake Sequence (CES) adversely impacted built, economic and social environments. This included widespread physical damage to the water supply pipe network in Christchurch, resulting in long service disruptions. The transient and permanent ground deformations generated by the earthquakes in the CES caused a range of pipe damage, particularly in the MW 6.2 22 February 2011 and the relatively less damaging MW 6.0 13 June 2011 event. Damage to the pipes in both events was largely attributed to liquefaction and lateral spreading effects. Pipes made of ductile material (e.g. PVC, HDPE) sustained lesser damage (and therefore lower repair rates) compared to the pipes made of non-ductile material (e.g. AC, CI). In all cases, the repair rates (number of repairs per kilometre) typically increased with increasing liquefaction severity.
Utilising the pipe repair dataset and Liquefaction Severity Number (LSN) maps generated from extensive geotechnical investigation following the CES events, new repair rate prediction models for water pipes subjected to liquefaction effects have been derived and are presented in this paper. Repair data from both earthquakes has been analysed independently and in combination, providing two sets of repair rate functions and different levels of uncertainty. Repair rate functions were first derived from pipes grouped by combination of diameter (i.e. ϕ < 75 mm or ϕ ≥ 75 mm) and material type (i.e. ductile or non-ductile). The models were then refined by adding correction factors for those material types and diameters with sufficient sample length. Correction factors were derived for AC, CI, PVC pipes of diameter ≥75 mm and for MDPE and HDPE80 pipes of diameter <75 mm. Galvanised Iron (GI) pipes performed poorly during the earthquakes, resulting in very high repair rates compared to the other non-ductile pipes of diameter <75 mm damaged in the network; this warranted a separate repair rate model to be developed for this pipe type. The proposed models can be used in risk assessment of water pipe networks; i.e. to estimate the number of pipe repairs from potential liquefaction damage from future earthquakes.
On the Linear Stability Problem for a Three-Layer Displacement in a Porous Media
Authors: Pasa Gelu
Published: September 2022

In this paper, we study the secondary oil recovery process. The oil from a porous reservoir at low pressure is pushed by a forerunner, less viscous fluid (a polymer solute). Then the well-known Saffman-Taylor instability appears. Some authors tried to minimize this instability by using a succession of intermediate liquids with constant viscosities - the multi-layer model. The surface tensions on the interfaces between liquid layers are a stabilizing factor. In some previous papers, we proved some contradictions of this multi-layer model. However, we considered that the corresponding stability problem has a solution. This model's first step (and the mathematical basis) is the three-layer model, with a single intermediate liquid. We prove that the linear stability problem for the three-layer model has no solution (in general) - the growth rates of perturbations may not exist. On the contrary, an intermediate liquid with a suitable variable viscosity can almost suppress the Saffman-Taylor instability, even if the surface tensions are missing [17].
Preface: 6th International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2022)
Authors: Kang Qin , Benson Caroline
Published: September 2022

The organizing Committee of EMEHSS 2022 warmly welcomes you to join the 6th International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2022), this conference was held in Hong Kong, China during August 20-21, 2022.
Based on the experience of the previous four sessions, the theme of this 6th EMEHSS focused on the fields of economics and management. The aim of the EMEHSS is to provide an interactive platform for the scholars, economists, managers, innovators, entrepreneurs, government agencies and policy-makers etc., from both China and abroad to exchange ideas.
EMEHSS 2022 received 145 manuscripts. And the acceptance rate is less than 50%. Articles submitted to the conference should report original, previously unpublished research results, experimental or theoretical and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic.
Qin Kang
Caroline Benson
Conference Organizing Committee
Ways and challenges for service retailers to recover from the COVID-19 pandemic
Authors: Dong Botao , Yang Chuhui
Published: September 2022

The Covid-19 pandemic has dramatically altered the landscape of service retail. From consumer habits to retail references, service retailers around the world have to transform their strategies in order to first recover and then thrive in the post-pandemic business environment. This essay will attempt to offer solutions on how service retailers may respond to and recover from the pandemic. The essay bases its fundamental organization on the Retail Mix, analyzing the strategy from products and services, brand, price, offers, communications and distributions.
The Influence of Digital Economy on Enterprise Financialization
Authors: Xue Zhongyi
Published: September 2022

Digital economy is essentially the application of modern information technology to various economic activities, which is mainly reflected in extensive application of Internet, big data, artificial intelligence, cloud computing and other digital technologies in industrial sectors. Especially after the outbreak of COVID-19 in 2020, digital economy has shown its amazing volume and development prospect, and more and more enterprises have begun to attach importance to digital transformation. With listed companies at Shanghai Stock Exchange and Shenzhen Stock Exchange from 2011 to 2019 as research samples, this paper presents research on the influence of digital economy to enterprise financialization. It is concluded that digital economy significantly promotes enterprise financialization.
Live Variety Show from the perspective of Media Convergence: Analysis and Netnography of Mango TV's "Fields of Hope"
Authors: Yang Qingxin
Published: September 2022

In the information age, media convergence has become a development concept that includes, but is not limited to the convergence of content, technology, channels and management. This article examines MANGO TV's independent live variety program “Fields of Hope” to explore the logic of media convergence and innovation of the program in terms of media convergence and integrated marketing communication, considering the four-part ecological view and five-part elementary resources, and to explore media industry management and digital technology, which attempts to explore the principles and pathways of the economy.
Survey of Improving the In-place Urbanization Quality of Agricultural Transfer Population in Hebei Province
Authors: Qian Huang
Published: September 2022

Hebei is a big agriculture province with large population in China, and one of its major tasks of economic and social development is to improve the level of urbanization. This paper applied the theory of the new approach to urbanization to the specific situation of Hebei, and analyzed the development lag of urbanization in Hebei from the perspectives of space, industrial structure and institutional policy. Established in the people-centered core thought, this paper aimed at improving the actual quality of in-place urbanization in Hebei, studied the outstanding cases and problems in the process of in-place urbanization development in Hebei from the angles of social and ecological environment, and compared the excellent examples of urban construction in various regions in China and the situation of Hebei, and finally to formulate targeted policy suggestion.
Research on the Financing Efficiency of listed Companies in China's Photovoltaic Industry
Authors: Chen Zhang , Qian Zhang
Published: September 2022

Through sorting out the theory of financing efficiency, the influencing factors and empirical methods of financing efficiency at home and abroad, taking the panel data of 29 listed companies in the photovoltaic industry in China from 2017 to 2021 as the research object, the DEA-Tobit model was used to study the financing efficiency and influencing factors of China's photovoltaic industry. The results show that in recent years, the financing efficiency of listed companies in the domestic photovoltaic industry has fluctuated greatly, and there is a certain downward trend as a whole, and there is still a broad room for improvement; There are significant positive effects on net profit, net profit margin on sales, cost of main business, cash ratio and corporate financing efficiency, while current liabilities and corporate financing efficiency show significant negative effects. Based on this, suggestions are put forward to optimize the scale of listed companies, broaden financing channels, and introduce new financing methods by relevant government departments.
Influencing Factors of Change Rate of Individually Held Fund Units in Equity Funds
Authors: Lin Ziteng
Published: September 2022

Funds are one of the most actively traded instruments in China’s security market, and individual investors are the main force in fund purchases. A study of the factors affecting the change rate of individually held fund units in equity funds is conducive to the healthy operation of funds. This article uses the panel model to study the annual data of 120 funds from 2017 to 2021 as a sample and finds that the change rate of individually held units in equity funds is negatively correlated with fund performance, fund investment concentration and establishment year. This article also uses quadratic and segmented regressions to study the quadratic and segmented relationships between fund performance and dependent variables and use them as a basis to analyze the causes of "redemption anomalies".
The influence of leadership style on employees' innovative behavior Based on the mediating role of superiors' responsiveness
Authors: Yang Songting
Published: September 2022

The remote working model is more and more accepted by people under the normalization of epidemic prevention and control, and how to improve the online innovation behavior of employees has attracted widespread attention from the academic community. This paper collects data by distributing questionnaires, using SPSS software, introducing superior responsiveness as a mediating variable, and exploring its role in the impact of transformational leadership and transactional leadership on employees' innovative behavior. The research shows that: firstly, transformational leadership and transactional leadership have a significant positive impact on employee innovation behavior; secondly, leadership style positively affects the level of superior responsiveness; and finally, the introduction of superior responsiveness into the relationship between leadership style and employee innovative behavior signals in the relationship. It is found that superior responsiveness plays a full mediating role in the influence of transformational leadership on employees' innovative behavior; it plays a partial mediating role in the relationship between transactional leadership and employees' innovative behavior.
Can Big 4 Auditors Increase Accounting Quality
Authors: Wang Tianye
Published: September 2022

This study investigates the relationship between the big Four auditors and accounting quality. We tested this prediction by examining a sample of A-share listed companies. The results show that the big four auditors can significantly improve the accounting quality of listed companies, while corporate leverage ratio and board size also affect the accounting quality of listed companies. The analysis also found that lower accounting quality will increase the attention of securities analysts. Listed companies should timely disclose relevant information to improve accounting quality.
Research on the willingness of college students to return to their hometown to start a business under the background of rural revitalization strategy
Authors: Feng Daixin , Sui Guoyu , Fan Tongshuai
Published: September 2022

According to the research of previous scholars, many undergraduate colleges and universities in Liaoning Province have actively organized students to participate in rural revitalization and agricultural entrepreneurship and entrepreneurship competitions. Many students also showed a high willingness to participate, and they also chose to return to their hometown to start a business in the direction of employment. Based on the above background, this paper studies the willingness of college students to return to their hometowns for entrepreneurship, and conducts an online questionnaire survey on college students in Shenyang University of Science and Technology to further understand the degree of understanding of the current entrepreneurial policies, the willingness of college students to return to their hometown to start a business, and the understanding of college students. The current situation of entrepreneurship education, analyzes the influencing factors of college students' willingness to return to their hometown to start a business, and puts forward corresponding countermeasures, in order to provide a reference for the cultivation of talents in rural revitalization.
An Empirical Study of Traditional Media Communication Modes in the New Situation
Authors: Zhao Yuhan
Published: September 2022

With the gradual rise of traditional culture, the research on the dissemination of traditional culture in academia has also shown an increasing trend. In general, the rapid development of new media has given birth to the research of traditional culture communication in the context of new media, and the research on traditional culture communication in the context of new media mainly focuses on the study of the specific forms of traditional culture and the impact of new media on traditional culture communication and countermeasures.  However, in these studies, the traditional cultural content of the study is relatively concentrated, not too comprehensive, and only focuses on the dissemination of new media forms. "Tang Palace Night Banquet" as an excellent program representative of Henan Satellite TV's Spring Festival Gala program, was a great success. Herein, we used the questionnaire method to study this typical case. Through the analysis of the communication situation and audience, we summarized the success factors of this case and provided suggestions.
Study on user stickiness of Ximalaya APP Based on basic analysis of SPSS
Authors: Huang Mengqi , Tu Yawen
Published: September 2022

With the development of network technology, the traditional radio station began to have a new development opportunities, mobile Internet radio began to come out. The audience can listen to the radio in different use scenarios such as traditional listening devices, smart mobile devices, vehicle devices and so on. In August 2012, Himalaya FM began to build an online audio sharing platform. Today, Ximalaya FM is firmly ranked as the largest number of users and the largest platform in China. As of 2019, Ximalaya apps have more than 600 million active users and have more than 80 million monthly active users, but how to enhance user engagement, improve user activity and usage duration is still a very important issue in the Ximalaya FM operation process. This paper mainly explores the factors influencing the stickiness of the Ximalaya FM users, and uses the literature research method and the questionnaire survey method to analyze the questionnaire sample through the SPSS data analysis. In-depth analysis of the Ximalaya FM users, including their use of behavior characteristics, attitude influence, and the use of quantitative research methods to analyze the factors affecting user stickiness.
Asset Price Bubble under Behaviroral Finance Theory: Based on Log-Periodic Power Law Model
Authors: Huang Rui
Published: September 2022

The asset price bubble problem is not only the most concerned topic in the financial circle, but also one of the most important research topics in the financial circle. In history, every time asset prices skyrocketed, bubbles were accumulated, and every asset price crash resulted in a massive shrinking of wealth, bankruptcy of enterprises, and economic recession. This paper is based on the theory of investor behavioral bias in behavioral finance theory, and is based on the log-periodic power law (LPPL) theory of iron ore futures, apple futures, coke futures and stock market indices that is widely used in Chinese financial markets. The market index and bitcoin price are empirically analyzed through the process of bubble accumulation, and the stock market index of China's stock market and the index of China's capital market are predicted and analyzed based on LPPL theory.
Problems and solutions of Shenzhen’s housing market
Authors: Gao Hoiyue
Published: September 2022

Housing market is an important part of China's market economy, and the stability of housing market is of great significance to China's economic development and financial growth. However, China's housing boom has long created problems that need to be solved. This paper takes the housing market development of Shenzhen as an example, deeply discusses the real problems in the housing market process of Shenzhen, and puts forward some solutions, so as to provide effective support for promoting the improvement of housing market and economic stability of Shenzhen. Finally, this paper provides some references for understanding the housing market in Shenzhen.
Research on the Present Situation, Problems, and Countermeasures of New Agricultural Business Entity Financing in the Digital Economy Era of Current China
Authors: Guo Yichen
Published: September 2022

In the era of the digital economy, the financing problems of some new agricultural business entities have been alleviated to some extent, but some business entities are still facing the dilemma of "Difficult and Expensive financing". Firstly, this paper analyzes the development status of the financing of new agricultural business entities in the digital economy era, then explains the existing problems and reasons for the financing of new agricultural business entities in the digital economy era, and establishes a SWOT analysis model. Finally, it gives some countermeasures and suggestions, such as establishing the intelligent mortgage financing mode for agricultural land, using "Blockchain+Big Data" to improve the credit information system, reducing the financing cost, and appropriately relaxing the financing conditions.
Research on the Development Status, Existing Problems, and Countermeasures of Derivative Products of the Animation Industry in the Digital Economy Era
Authors: Yu Tingfang
Published: September 2022

Digital economy and animation industry are emerging industries under the normalization of epidemic prevention and control. The derivative products of the animation industry have a good development environment in the era of the digital economy. Firstly, this paper analyzes the development status of derivative products in the animation industry under the digital economy era, and then expounds on the existing problems of derivative products, including the development orientation and creativity of derivative products of animation industry need to be improved, the brand building of derivative products of the animation industry is insufficient, and the intellectual property protection of derivative products of animation industry needs to be strengthened. On this basis, this paper puts forward some countermeasures and suggestions, such as effectively improving the development orientation and creativity of derivative products in the animation industry, making efforts to create the brand effect of derivative products in the animation industry, and strengthening the intellectual property protection of derivative products in the animation industry.
The Effect and Mechanism of Regional Environmental Regulation on Corporate Green Investment Efficiency - An empirical study based on heavily polluting listed companies in Shanghai and Shenzhen A-shares
Authors: Yang Wenyi
Published: September 2022

Based on the input-output data of Chinese A-share listed companies in the heavy pollution industry in 2018-2019, SBM-DEA model was used to measure the corporate green investment efficiency, and Tobit model was used to examine the influence mechanism of regional environmental regulation on the corporate green investment efficiency using a hierarchical multiple regression method, and finally the group regression was used to further explore according to the nature of property rights. The results show that: (1) regional environmental regulation enforcement has an inverted "U" shape effect on corporate green investment efficiency. The moderating effect shows that the inverted U-shaped relationship between regional environmental regulations and green investment efficiency is positively moderated by public concern, i.e., the inverted U-shaped relationship between environmental regulations and green investment efficiency is significantly strengthened when enterprises face stronger public concern about environmental pollution. The inverted U-shaped relationship between environmental regulation and green investment efficiency is significantly strengthened when firms face strong public concern about environmental pollution. In contrast, the moderating effect of technological innovation on this inverted U-shaped relationship is not significant. (2) The paper further finds that the inverted "U" shaped relationship between regional environmental regulations and green investment efficiency is particularly significant in non-state enterprises, and the moderating effect of public concern is also more significant in non-state enterprises. Finally, the paper puts forward relevant policy recommendations.
Analysis of real estate market in Shenzhen
Authors: Yang Xibei
Published: September 2022

Since the reform and opening up, Shenzhen's population has increased greatly and its economic growth has accelerated, which has driven the development of the real estate market. It is worth noting that Shenzhen's housing market and real estate development have received a lot of attention. At the same time, there are some problems in Shenzhen's housing market, which hinder the high-quality development of the housing market. At present, the housing market in Shenzhen has a high price and a strong investment demand. Some targeted solutions are needed to promote the sustainable development of the housing market. This article provides some enlightenment.
The Impact of the Rise of Takeaway Industry on the Income of Shanghai’s Catering Industry
Authors: Shuming Xu Alex , Hongrui Wu Jerry , Jiayi Lai Amelia
Published: September 2022

This paper takes the city of Shanghai as the object, and examines the impact of the takeaway industry on the operating income of the catering industry in Shanghai. A linear regression model is used to establish a prediction model for the operating income of the catering industry and the takeaway industry. Considering the time node of the rise of the takeaway industry, the development trend of the catering industry's business income before the rise of takeaway is fitted, and the significance of the impact of the rise of takeaway on the catering industry's income is quantified based on the prediction error by comparing the prediction results with the actual data. Six key indicators of the national economy were selected to establish a multiple regression forecasting model for the catering industry's business income, and a factor analysis model based on the weighting of variables was proposed to analyse the impact of national economic growth and the rise of the takeaway industry on the catering industry's business income.
Measurement, Influencing Factors and Spatial Spillover Effect of China's Green Economy Development Level
Authors: Meng Ruolin , Shao Jia
Published: September 2022

Based on the concept of green development under the new development pattern, the evaluation index system of China's green economy development is constructed from three dimensions: green production, green life and green ecology. Based on the panel data of 30 provinces from 2005 to 2020, the green economy development level of each province is calculated, and its influencing factors are considered from three aspects: economic development, social capital and governance efficiency, and its spatial spillover effect is analyzed. The conclusions of this study are as follows: (1) During the study period, the development level of green economy in each province generally presents a steady upward trend, but there are significant differences among the provinces, with Xinjiang, Hainan, Tianjin and other provinces experiencing the largest increase, while Yunnan, Guangxi and Shaanxi provinces experiencing the smallest increase. (2) The development level of China's green economy is obviously centralized and distributed. The level of science and technology, the development of the private economy and the degree of opening to the outside world are the key factors to promote the high-quality development of green economy in China. The extensive utilization of resources has hindered the development of the green economy. The degree of openness is the main factor to promote the development of the green economy in this region. Technological progress and energy consumption are not conducive to the promotion of green economic development level in other regions.
Digital Economy, Innovation Environment and Industrial Upgrading: Based on the Adjustment Effect and Threshold Model
Authors: Yin Qianwen
Published: September 2022

Based on the panel data of 30 provinces in China from 2013 to 2020, we construct an adjustment effect model and a threshold model with residents’ consumption demand, labor force quality and financial resources as the moderating variables, and residents’ consumption demand as the threshold variable, in order to explore the influence process of digital economy on industrial upgrading. The empirical results show that: (1) The development level of digital economy has a significantly positive impact on the rationalization and advancement of industrial structure; (2) Residents’ consumption demand, labor force quality and financial resources all play a significant positive adjustment role in the digital economy-empowered industrial upgrading; (3) There exists a threshold effect in the digital economy-empowered industrial upgrading, i.e., when the residents’ consumption demand is between the two thresholds, the digital economy-empowered industrial structure rationalization is significantly promoted; when residents’ consumption demand crosses the first threshold, the digital economy-empowered industrial structure advancement is remarkably enhanced.
Consumer Reactions to Live-Streaming Influencers’ Communication Behaviors on Douyin
Authors: Ouyang Lecan
Published: September 2022

In recent years, the popularity of online live-streaming commerce is favored by consumers. Live-streaming commerce have good prospect and great development potential, so it is important to know consumers’ concerns. Using content analysis of audience comments on 5 Douyin videos, this research studies, from the perspective of consumers, how the influencer's communication behavior affects consumers' reactions. Findings show that consumers are concerned with 4 key aspects: appearance, personal style, product quality and credibility. Especially for appearance, comments show that audience usually tend to care more about female influencers’ appearance rather than that of male influencers and most of their comments about female influencers’ appearance were negative, while their comments about male influencers were more positive. This research studies a new form of consumption that has sprung up in China in recent years, helping to know more about Chinese consumers' views on online consumption, as well as online consumption culture.
Digital Transformation of Enterprises, Operating Cash Flow and Environmental Information Disclosure
Authors: Wu Xiao
Published: September 2022

This paper takes Shanghai-Shenzhen A-share listed companies from 2007 to 2020 as a research sample to explore the impact of digital transformation of enterprises on environmental information disclosure and its internal mechanism. The research results show that the digital transformation of enterprises can significantly suppress the level of environmental information disclosure and from the perspective of the action path, the digitalization of enterprises is suppressed by reducing the cash flow of operating activities. Considering financing constraints and executive equity incentive, we found that the financing constraints strengthen the inhibitory effect of enterprise digital transformation on environmental information disclosure, and the executive equity incentive weakens the inhibitory effect of enterprise digital transformation on environmental information disclosure. Finally, the results of the heterogeneity analysis show that enterprise digitization has a more obvious environmental information disclosure suppression effect in the samples which are state-owned and with a low level of marketization. The research in this paper expands the existing literature on the driving factors of environmental information disclosure and the value effect of enterprise digital transformation, questions the traditional view that enterprise digitalization enhances the level of environmental information disclosure, and provides an empirical basis for further deepening the research of enterprise environmental information disclosure in the digital situation.
International Reference and Mechanism Construction of Real estate taxation Assessment System Reform
Authors: Ren Xinyi , Zhang Haoran , Zhang Ning
Published: September 2022

The scientific real estate tax appraisal system is the basis for steadily advancing the real estate taxation reform. Based on WOS and CNKI, this paper uses CiteSpace software to analyze the number of papers, research focus, and countries with outgoing messages in real estate tax research. This study illustrates that: (1) In this field, developed countries have occupied strategic leadership. (2) The fiscal perspective of real estate tax reform is currently a hot issue in academic research, but the analysis of the real estate tax system based on the tax assessment is rarely discussed. Therefore, this paper refers to the construction of a RETAS that is relatively mature, analyzes and summarizes the selection of taxation basis, the setting of assessment agencies, the implementation of assessment procedures and the construction of dispute resolution mechanisms, improves the real estate tax assessment system with Chinese characteristics, and provides some experiences and references.
Social Responsibility and Value in enterprises and companies
Authors: Zhu Zihan
Published: September 2022

The purpose of this study is to discuss the impact of social responsibility on the company's value. Taking Xiaomi Company as a case, the research objects are decision-making level, management level and grass-roots employees by questionnaire survey. The sampling method is purposive sampling. 125 groups of samples (decision-making level and management level) and 623 groups of samples (grass-roots employees) are sampled. Hierarchical model (HLM) and hierarchical regression are used to analyze the positive impact of different levels of employees on social responsibility on the company's value and verify it.
The Belt and Road Digital Financial Cooperation and Risk Governance Policy Research
Authors: Cao Yuxi
Published: September 2022

Since the proposal of the "One Belt and One Road" initiative, it has attracted wide attention of the international community. As a key link of the OBOR initiative, financing is the blood of promoting the economic development of member countries, and the OBOR financial cooperation has been quite effective. Since 2013, the combination of digitalization and finance leads to new forms of finance, and the channels and methods of financial cooperation have been expanding. At the same time, the domestic and international environment has dramatically changed, especially since the COVID-19 and the conflict between Russia and Ukraine, so the OBOR transnational digital financial cooperation is facing unprecedented risks and challenges. Based on the analysis of existing literature, this paper explores the reasons behind the OBOR digital financial cooperation from the perspective of Neo Liberal Institutionalism. At the same time, this paper summarizes the current situation and characteristics of the OBOR digital financial cooperation and its multiple risks, and put forward feasible governance policy to help China participate in regional financial governance, provide regional leadership, work with countries along the OBOR to maintain world peace and stability.
Adaptive Change of Human Resource Management from the Perspective of Digital Transformation: A case study of J Company
Authors: Huang Jie
Published: September 2022

The age of digital and intellectualized technology is coming, bringing a profound challenge to enterprises. Especially confronted with the rapid development of media, it has battered the ecological environment of traditional media enterprises seriously. This paper analyzes the reasons why J Company adheres to the people-oriented management, differentiated training measures, and survival ways of employees. It prominently describes how this company makes tailored training plans for the new and old employees and creates a "2+2 integration" pattern aimed at their working competency, which innovates the unique training methods adapted to the digital development. In addition, it shows the social responsibility consciousness of J Company, efficient teams characterized by "three generations in age, three generations in skills" and other adaptive change measures of human resource management, which set an example for media in the reform.
Endowment Effect’s Impact on people’s economic decisions
Authors: Zhou Zihan
Published: September 2022

This paper focuses on the endowment effect, a psychological bias first used by Nobel Prize-winning economist Richard Thaler in 1980. After completing extensive online and offline documentary research, I examined the psychology of the endowment effect in this paper. Additionally, I considered the perspectives of both buyers and sellers to explain why the endowment effect matters in terms of economic behaviors, and offered a few countermeasures to the bias, avoiding people from suffering losses as a result. I explored three different endowment effect applications, including the confiscation of farmers' land, the high cost of second-hand goods, and the use of free trials, based on my field research in rural China and the questionnaires and interviews I conducted. Looking at a real-world example in society, I identified the underlying causes of these economic decisions related to the endowment effect and then offered a few solutions that would benefit both sides of the equation. In the end, I came to the conclusion that a range of economic actions can be explained by the endowment effect. While sometimes it stands in people’s way in making reasonable economic decisions, some individuals can actually utilize the endowment effect in order to make a profit.