bluuebunny/crossref_metadata_2025 huggingface dataset:
PELAKSANAAN KEGIATAN EKSTRAKURIKULER MEMBACA MENULIS AL QUR'AN (MMA) UNTUK MENINGKATKAN BACAAN AL-QUR'AN DI SMP MUHAMMADIYAH 1 SURAKARTA
Authors: Salsabila Lutfia , Hidayah Nur , Rochmawan Alfian Eko , Fatimah Meti
Published: April 2023

This research aims to explain the implementation of MMA (Reciting and Writing of Al-Qur'an) extracurricular activities. This research is included in descriptive qualitative because it explains the direct phenomenon by the researcher. The subject of this research is the coordinator of Islamic religious education (PAI) teachers and teachers who support MMA extracurricular activities. Data collection techniques used are observation, interviews, and documentation. The study used several data analyzes, including data reduction, data presentation, and drawing conclusions. The results of this research indicate that the implementation of the MMA (Reciting and Writing Al-Qur'an) extracurricular activities are carried out during the last lesson at school, in one meeting for a week, with a duration of ninety minutes for each meeting and the implementation of this MMA also experiences various obstacles, which are sometimes still the low desire of students to carry out MMA extracurricular activities, the lack of audio-visual media in the implementation of MMA activities and the lack of time available during extracurricular activities. Teachers can overcome these problems, by 1) teachers forming group learning, 2) teachers providing various tartili or props to make it easier for students, 3) teachers training students' openness to facilitate emotional approaches, 3) teachers doing a pair program after that reflecting, 4) the teacher trains the seriousness of the implementation of MMA extracurricular activities, 5) and the teacher has product targets that students will achieve.
ANALISA TINGKAT KESEJAHTERAAN KELUARGA PASANGAN MENIKAH USIA DINI KANTOR URUSAN AGAMA (KUA) KECAMATAN BAKI
Authors: Nurjianti N , Baehaqi B , Sarjono Joko
Published: April 2023

Marriage is a phenomenon that is always interesting to discuss in society. Marriage is an important thing for human life, especially in social life in society and survival for the next generation of humans. The phenomenon of early marriage in Baki District has recently been increasing over the last three years. This study aims to analyze what factors influence the occurrence of early marriage and analyze the level of household welfare in couples rising at an early age Religious AffairsOffice in the Baki District.This research is a qualitative descriptive study aimed at getting an overview of the factors that lead to early marriage and the level of family welfare of couples who marry at an early age in the Baki District area. Data collection techniques in this study used direct surveys, interviews and documentation studies. The data analysis technique used in this study uses interactive descriptive analysis.The results of this study draw the conclusion that the main cause of underage marriages in the Baki District area is due to pregnancy out of wedlock which is influenced by the presence of promiscuity factors, educational factors, economic factors and parental encouragement factors. The welfare level of early age couples in the Baki District is included in the pre-prosperous level.
PERAN GURU DALAM PEMBENTUKAN KEPRIBADIAN SISWA
Authors: Nabila Ainun , Samsuri Muhammad , Mukhlisah Iffah
Published: April 2023

This study aims to determine the role of the teacher's character in the formation of the personality of junior high school students. The approach used in this research is a qualitative approach with a descriptive method.  The subject of this research is Muhammadiyah 1 Sukoharjo Junior High School.  The data collection techniques used were interviews, observation, and documentation studies.  The primary data sources for the study were 3 teachers at Muhammadiyah 1 Sukoharjo Junior High School, and secondary data in the form of documentation.  Data analysis used is data reduction, data presentation, and verification.  The results of this study indicate that teachers hold guidance programs in religious activities, procure guidance books, then supervise, assess and evaluate as well as cooperate with parents.  The last role of the teacher is the teacher as a leader, namely the teacher being a good role model for students and acting according to applicable norms.
Preface: 2023 International Conference on Psychological Science and Higher Education (PSHE 2023)
Authors: Hansom Daisy , Tu Gang
Published: April 2023

The 2023 International Conference on Psychological Science and higher education (PSHE 2023) was successfully held during February 11-12, 2023 in Hangzhou, China. This conference brought together delegates from around the world to consider the theme of “Education and Psychological Sciences”. The theme was approached from a variety of different perspectives, taking full advantage of the international diversity of the attendees with their myriad experiences.

The main goal of PSHE 2023 is to provide an opportunity for academicians and professionals from various education related fields from all over the world to come together and learn from each other. An additional goal of the conference is to provide a place for academicians and professionals with cross-disciplinary interests to meet and interact with members inside and outside their own particular disciplines. The conference was divided into four chapters: (1) Psychological Sciences; (2) Adolescent Growth and Development; (3) Higher Education; (4) Social and Behavioral Sciences.

Organizing Committees of PSHE 2023

Hangzhou, China
The Research of The Resocialization on Released Juvenile Delinquents Under Stigma
Authors: Yu Peiyuan
Published: April 2023

The heavy difficulty faced by released juvenile delinquents of resocialization and the risk of destroying social order plague individual happiness and social harmony. It is of great significance to promote resocialization for the healthy development of the individual released juvenile delinquent and the harmony and stability of society. Through the literature research method, the author defines the concept of juvenile delinquency, clarifies the research scope of this paper, and studies and analyzes the different types of stigmatization of juvenile delinquency and the different levels of support needed in the process of socialization. Finally, the study found that released juvenile delinquents are negatively affected by the three levels of stereotype, prejudice and discrimination, which seriously hinders the integration of released juvenile delinquents into society, that is, resocialization. In the process of the resocialization of released juvenile delinquents, the support provided by the three levels of family, society and personal psychology plays an almost decisive role. Based on the above findings, the following recommendations are made: 1. Establish a social acceptance mechanism for released juvenile delinquents. 2. Build a family perception of the identity acceptance of released juvenile delinquents. 3. Enhance the emotional openness of released juvenile delinquents.
Investigation and Analysis of Sex Education in Junior High Schools in China
Authors: Han Weiwei
Published: April 2023

Sex education is a sensitive topic in Chinese culture that parents don’t like to mention, and schools don’t want to teach. However, as society develops, teen pregnancy, juvenile sexual offending, and the widespread of STI, all turn on the red warning light for attention to sex education. There are limited Chinese studies on this topic. Some of them lack data proof on the delay of sex education, and some of them lack practical suggestions for the future. Consequently, this study will use questionnaires and interviews based on Qiushi Middle School to collect original data and analyses data to prove if the delay is existing in Chinese sex education. The study finds out that sex education delays for girls obviously from physiology and psychology, and sex education delays for boys insignificantly, as boys’ physiological maturity is two years later than girls’ that is at junior high school. However, boys’ psychological awareness of sex still begins at elementary school. Therefore, designing the sex education curriculum separately for girls and boys is strongly recommended. For decreasing juvenile sexual offending, teen pregnancy and the spreading of STI, a continuous curriculum from daycare to university is suggested to design. Last but not least, only the cooperation of government, society, families and schools will bring healthier, scientific and complete sex education for children.
A Study of Using Reward and Punishment in The Education of School-Aged Children— Based on Behaviorism Theory Operant Conditioning
Authors: Chen Xinming
Published: April 2023

Reward and punishment can change children’s behaviors, so the two strategies are widely used in education, especially with young learners. Researchers found that the two strategies have positive and negative effects on children, but they put little emphasis on how to use them more effectively. Through literature analysis and case analysis, this paper aims to discuss the advantages and disadvantages of using reward and punishment on school-aged children based on B.F. Skinner’s Operant conditioning and his experiment skinner box. The research found that using reward and punishment on school-aged children is necessary. The strategies have an immediate effect, and they can increase prosocial behaviors. They are more useful than reasoning when the educated are young. However, some researchers argue that reward and punishment only focus on short-term success. They become a representation of power and decrease the autonomy of children when they are overused. Three strategies are suggested in this paper for effective use of reward and punishment, including using them immediately after behaviors, selecting the proper reinforcement and concentrating on behaviors rather than children themselves.
Explore How Family Factors Affect Students’ Academic Performance -Based on Literature Analysis
Authors: Xing Zhuoran
Published: April 2023

With the rapid socio-economic changes in recent years and the intensification of competition in education in various countries, students’ academic performance has become a criterion for judging whether they receive a good education in most countries, and academic performance is also closely related to students’ future job salary and living standard and even the development of the country. This paper wants to study how family factors affect students’ academic performance. By reading a large amount of literature, the author provides an in-depth analysis and discussion of the research related to the family environment and academic performance. The main focus is on exploring the impact of various family factors on student academic performance, such as family structure, parental relationships, and family economic status conditions. The study found some family factors will have a direct impact on students’ academic performance, for example, family income and education investment. Some behavior like receiving higher education from a better school, hiring a tutor, and buying more learning materials, etc. could affect students’ academic performance directly. Nevertheless, many factors will affect academic performance indirectly such as family structure, family relationships, and so on. They are more likely to affect children’s physical and psychological conditions, therefore influencing their academic performance. Moreover, positive or negative results are not determined by a single factor, but by a combination of genes, social environment, and many other factors.
A Study of Special Needs Children Entering Regular Classroom Learning
Authors: Yuan Huayun
Published: April 2023

Special populations appear in the public eye with increasing frequency, so their education and problems are receiving increasing attention in many countries. But as many countries focus on educating children with special needs, they are discovering an even more significant pitfall. This problem is that many countries have segregated children with special needs from typical children, making them less able to integrate into society when they reach adulthood. When research began, people found the answer to this problem in inclusive classrooms. This paper discusses the need to include children with special needs in regular classrooms. In this paper, the author analyzes multiple perspectives from the perspective of the state, schools, teachers, special needs students, and children in general. Combining the strengths and weaknesses of these perspectives, the author of this paper offers some suggestions on how to measure the relationship between special needs children and regular classrooms and subsequent development.
A Study of Students Learning a Second Language Early in School
Authors: Jin Mengran
Published: April 2023

With increasing international communication, the importance of foreign language learning is generally increasing, and there is a trend toward teaching foreign languages at younger ages. However, the question of whether and, if so, what effect age has on second language acquisition, especially the acquisition of pure speech, and what age is optimal for language acquisition has become a hot topic of debate among educators, but no definitive conclusion has been reached to date. This paper studies students learning a second language early in school. The critical period theory of second language acquisition, the effects of various age groups on second language acquisition, and the connection between age factors and second language acquisition are all discussed in this paper. Based on theoretical research, the strengths and weaknesses of second language learners in different age groups are analyzed and compared, and reasonable educational systems and teaching strategies are developed for this purpose.
The Relationship Between Empathy and Moral Judgement in Typical and Clinical Populations
Authors: Mao Xinyan , Zhou Ke
Published: April 2023

As a critical role in moral psychology, empathy and moral judgment have been studied by many psychologists and have promoted people's cognition and understanding of morality. Although there have been a lot of experiments that explored empathy and moral judgment separately, the relationship between the two has been neglected. It is not known how empathy and moral judgment interact. This review explored moral judgment and empathy’s relationship in typical and clinical populations. This review can provide an in-depth exploration of the study of existing experimental results and research, and an analysis of the relationship between the two. The study of the relationship between empathy and moral judgment can deepen the field of psychological understanding of the process of making moral judgments. According to the review of existing studies, it was found that empathy can affect people's moral judgment in both typical and clinical populations along with age, sex, and different scenarios.
Evaluation of learning effect of blended teaching mode ----- Take the international finance course as an example
Authors: Sun Yijia
Published: April 2023

In the era of big data, the school's teaching mode has gradually transformed its focus from the traditional teaching mode to the blended teaching mode integrating online teaching and offline teaching. In order to explore the learning effect of students under the blended teaching mode and cultivate the all-round development of economic talents, this paper conducts an in-depth investigation on the blended teaching effect of international finance course, the core course of finance major. A total of 161 students majoring in finance in 2019 were selected as research objects. According to the scores of international finance courses, the subjects were divided into research group (n=83) and control group (n=78). The research group selected students with high scores of international finance courses, while selected students with low scores as the control group. According to the results of the questionnaire and innovation satisfaction survey of students studying international finance courses, the following conclusions can be drawn: Students in the research group accept the blended teaching mode more than those in the control group (p<0.01), and students in the research group are better than those in the control group in the cultivation of innovation ability. Therefore, the blended teaching model should not only improve the ability of students with high performance, but also pay attention to the learning effect of students with low performance, so as to avoid extreme differentiation of learning effect.
Teaching reform and practice of food additives curriculum based on professional certification in Engineering Education
Authors: Yu Fangyuan , Liu Xin , Yan Rong , Na Guangning , Song Jiayao
Published: April 2023

The certification of engineering education has become the only way for China's engineering majors to connect with the international standards and continue to develop forward. Under the background of professional certification of engineering education, The problems such as too many knowledge points, poor practical ability and insufficient ideological and political depth in the course of food additives were analyzed, from the theoretical teaching method of establishing project teaching and flipped classroom, a three-level practical curriculum system combining verification, synthesis and design experiments has been built, put forward measures for curriculum teaching reform from three aspects of optimizing curriculum ideological and political design. The above reform measures can effectively mobilize students' learning initiative,to be student-centered and output-oriented, and cultivate students' ability to analyze and solve practical engineering problems.
Renovation and upgrading of pension design based on China's national conditions
Authors: Lin Rong
Published: April 2023

As China's aging population gradually grows and people's needs for life enjoyment increase, the planning and design of China's elderly care sector need to keep pace with the times. This paper reviews the problems of China's pension model and different pension institutions, and summarizes the possible improvement methods for these existing problems. First of all, the paper finds that among the several existing pension models in China, the elderly are gradually changing from home-based pensions to institutional pensions, and then the paper conducts an in-depth discussion on the operation methods and existing problems of different elderly institutions, such as nursing homes, elderly schools, elderly communities, etc. In addition, the more significant problems of Chinese elderly care institutions are backward equipment and facilities, inadequate management and operation, and insufficient attention to building design. In response to these problems, China should strengthen the research on the psychological needs of the elderly, improve their surrounding environment, and meet certain needs of the elderly through different design methods. Overall, the abnormal age structure in China determines that the society must strengthen the construction of the elderly care field. Only by thoroughly researching and understanding the characteristics, differences, and problems of China’s elderly care field can we be able to deal with the problems that are to come at this stage and in the future.
Comparative Analysis of the Consumption Phenomena of Hong Kong Postgraduates via Tiktok and Bilibili Based on In-depth Interviews and Questionnaires
Authors: Li Xing
Published: April 2023

The attraction of Bilibili to young audiences is increasing year by year. The explosion of Tiktok has made a certain impact on the popularity of Bilibili. Therefore, it is particularly vital to explore the deep consumption causes behind young people. At present, there is relatively little research on the comparison between Bilibili and Tiktok video platforms, including the consumption psychology of the audience. This kind of research is relatively novel and mainly employed and disseminated in the industry. Therefore, academic research is still rather rare. Meanwhile, there is a lack of in-depth and systematic research results. This study tries to investigate Hong Kong graduate groups from eight prestigious public universities through in-depth interviews and questionnaire surveys, using SPSS software for data analysis. By collecting the comments and feedback of postgraduate students on Bilibili and Tiktok, the consumption status of young audiences and the underlying consumption reasons can be understood. The commercial value will be provided to those similar video broadcast platforms’ business modes. The research suggests that young audiences with a certain educational background have not been significantly affected by using Tiktok, although the popularity of Tiktok in recent years is reflected in the increasing data. Comparatively, Bilibili is relatively attractive to this group. This group will not blindly engage in impulsive consumption on the platform. The underlying consumption reasons can be summarized as follows: the upgrading of the consumption concept, the demand for functional products, better daily consumption platform alternatives, and the fondness for anchors.
Research on the Development Strategy of the Livestreaming E-commerce Industry under the Epidemic: Taking Taobao as an Example
Authors: Jing Guanqi
Published: April 2023

In the epidemic of COVID-19, livestreaming commerce has become very popular. Brick-and-mortar stores in various regions of China have been greatly affected, because people can't go out to shop, so many enterprises are facing closure without sales revenue. However, there are still some problems with this new way of shopping. Taking Taobao as an example, this paper studied the development of livestreaming commerce in China under the epidemic situation from two dimensions of product quality and service. Research has found that although this approach has helped businesses stay on life support and help the economy recover. However, the poor product quality and service system still hinder the better development of this industry. In the face of the current problems, this paper analyses the causes of the two problems and proposes corresponding solutions for e-commerce platforms and anchors in view of different problems. This article is of great significance to the future development of the whole live commerce industry and e-commerce platform.
Impact of Chinese FDI Stock on Urban Development of South African Cities
Authors: Wang Kun
Published: April 2023

The relationship between Foreign Direct Investment (FDI) and the indicators of economic growth of the host country has been a much-debated issue among researchers and policymakers. However, there seems to be a positive response from host countries to FDI inflows as evident from a long history and growth of FDI over the recent years. In recent years, China has established itself as one of the biggest investors with its outward investment policies, especially in the African and Asian continents. Most of the recent investments by China have focused on the infrastructure development of the host country, specifically South Africa. The Chinese FDI stock in South Africa has been increasing each year from 44.7 million USD in 2003 to 5.4 billion USD in 2020. This report examines if there I s any positive impact of Chinese FDI Stock in the Urban Development of South Africa. An Urban Development Index (UDI) has been formulated for the study using Principal Component Analysis of six different indicators of Urban Development in South Africa. Multiple regression analysis is then conducted using UDI as the dependent variable, Chinese FDI Stock as the Independent Variable, and Total FDI per Capita as the Control variable. The study concludes that there is a significant positive impact of Chinese FDI Stock on the Urban Development Index of South Africa.
The Economic and Environmental Effects of Coal Mining: South Africa
Authors: Wang Jiarui
Published: April 2023

South Africa is a country that combines considerable coal mines, coal reserves and natural resources, environmental issues, and water scarcity. Increasing concerns with the carbon footprint and carbon dioxide emissions worldwide have led to a growing number of scholars studying the coal mining field. According to the research, the influences of coal mining in South Africa are dissected. The positive influence is that coal mining improves the South African economy, expressive of impacts on export, domestic consumption, GDP, and employment. However, coal mining damages the environment, evidently in water and air, which harms people’s and animals’ health. Depending on the backgrounds and facts of South Africa, the environmental issues should be given more consideration because they may threaten South Africa in the long term. Fortunately, two environmental policies, including damage land tax (DLT) and environmental bonds, are referred to solve the issue brought about by coal mining. Therefore, the economic effects of coal mining are the benefits for South Africa; the environmental influences are the cost.
The Economic Impact of Different Government Policies on Hybrid Electric Vehicles (HEV) In Major Automobile Consumer Countries
Authors: Zhang Hengrui
Published: April 2023

Under the background of the rapid increase in the number of cars, a series of problems such as environmental pollution, shortage of oil resources and destruction of the atmosphere gradually appear, which is closely related to the fuel engine. Protecting the environment, saving energy and reducing emissions, and vigorously developing low carbon economy has become a world trend. Therefore, the automotive industry has been challenged by unprecedented challenges. Traditional fuel vehicles cannot meet the increasing environmental requirements, and hybrid electric vehicles have become an important development direction of the automotive industry. However, government policies for hybrid electric vehicles are different in different countries, which will inevitably lead to differences in the development progress of hybrid electric vehicles between countries. The purpose of this study is to discuss the differences in relevant policies for hybrid electric vehicles in major automobile consuming countries, and to explore the economic impact caused by the differences in relevant policies for hybrid electric vehicles in the United States, China and Japan.
Model For Predicting London House Prices
Authors: Yin Mingzhe
Published: April 2023

With the growth of population, housing prices have become one of the important indicators to reflect the economic performance. Forecasting prices around the world will be part of social and economic development. Through the analysis of various factors affecting the market housing price, it is helpful to make a more accurate assessment of the future housing price trend. In a broad sense, accurate housing price forecast is helpful to the country's macro-control of the market housing price trend, and the prediction of future housing price is part of the strategic planning of enterprises. For consumers, the housing price forecast has a positive effect on the rational planning of individual economy. Since house prices are related to many factors, and there is a linear relationship between house prices and some factors that affect house prices, there are many linear graphs to study this problem. The research direction of this paper is to obtain data from Kaggle and conduct exploratory analysis on these data sets. The main method used in this article is linear regression, and no other forecasting methods will be added. What this work needs to do is use the right machine learning methods to predict home values to create a complex property model under generally stable conditions, which is this work aims to do in this study. Through many data sets show that the multiple linear regression model does achieve a relatively excellent housing price prediction effect.
Research of the Influencing Factors on Unemployment Rate
Authors: Zhou Ziyue
Published: April 2023

The research primarily examines how the unemployment rate interacts with the other four indicators of economic development, demographic changes, educational attainment, and gender. Nowadays, people have found that more and more people lose their jobs and the unemployment rate increases over time. The paper collects relevant data and uses some methods (descriptive statistics, linear regression model) to study the relationship between the unemployment rate and other factors. According to a study of the unemployment rate, the most unique and significant macroeconomic issue affecting people is unemployment. A consequence of the financial crisis that the United States encountered in 2008 is rising unemployment rate. Additionally, non-economic events that are not often a part of the economy's dynamics might impact unemployment. Educational attainment and gender have a moderate influence on the unemployment rate; the unemployment rate of a person who achieves a doctoral degree is lower than that of another person who has less than a high school diploma. The difference in gender affects the unemployment rate in today's society. Nevertheless, the demographic transition has a slight effect on the unemployment rate.
Yield and Volatility of Cryptocurrency under Long-term Uncertain Situation: Evidence from Covid-19 Pandemic
Authors: Chen Jingming , Jiang Xiaoqing , Tian Hongyuan
Published: April 2023

The birth of Bitcoin, the development of cryptocurrency, the establishment of digital platforms, and the investment of international capital. As the meta-cosmic era approaches, how does the blockchain platform occupy a place in the financial market, and how does it affect the world economy? What changes have taken place in the international financial sector? How has the economic downturn caused by the epidemic positively affected Bitcoin? As a market participant, how to reach a consensus on bitcoin, and how to invest, is a rational decision. This article is intended to use the Augmented Dickey-Fuller (ADF) Unit Root Test, Vector Autoregression (VAR) Model, ARMA-GARCH Model, Impulse Response, and the application of models such as ARMA-GARCH Estimation Results and Variance Equation analyzes the causes of bitcoin price fluctuations in the epidemic and how the epidemic has positively affected cryptocurrencies. Based on data, assisted by ICONS, the text analyzes the connection between the epidemic and cryptocurrencies.
Portfolio Allocation Optimization with US Equities
Authors: Li Zhaoyi
Published: April 2023

As a result of the worldwide pandemic, many industries are in need of growth stimuli, and the US equity markets, as the main growth engine, have intrigued investor interest. This article renders a performance analysis using the weights portfolio optimization given as a focal process that is skillfully implemented by financial practitioners. Each portfolio which includes Apple, IBM, Microsoft, Home Depot, Starbucks, NIKE, P&G, QUALCOMM, and JPM, gathers weekly return data from January 2017 to December 2020 and performs a Monte Carlo simulation. The amount of portfolio alternatives will be defined by the strategies being utilized, and it will choose ten stocks from a pool of 100 stocks to form a portfolio. Asset allocation strategies with Mean-Variance and Minimum Variance were constructed using the efficient frontier. Comparing a portfolio's asset allocation performances to that of the benchmark, the S&P 500 index, and an equally weighted strategy portfolio, with respect to asset allocation, the portfolio with the highest Sharpe ratio is the most optimal. The results in this study benefit investors and industry stakeholders in the post-covid era.
Portfolio Allocation with Time Series and Machine Learning Models
Authors: Liao Xinyue
Published: April 2023

The historical average stock return is commonly used to predict expected stock return in portfolio management for its better prediction and more straightforward calculations. However, most regressive models empirically proved to underperform the historical average return are explanatory models using predictor variables. This article takes the challenge to further explore the regressive power in predicting stock return but focuses on time series (TS) forecasting models and machine learning (ML) models. The results of this article show that many of these TS and ML regression models beat the historical average return, delivering higher portfolio Sharpe ratios and realized returns in backtesting. Although TS and ML models have inherently weaker explanatory power for their predictions, these results are still meaningful for retail and institutional mean-variance investors, opening up a new angle to forecast expected returns in portfolio allocation.
Asset Allocation Strategy Based on Announcements and Machine Learning-- An approach in Chinese Market
Authors: Han Jichu , Li Yuetong
Published: April 2023

Asset allocation strategy is frequently discussed by investors, either based on fundamental or quantitative analysis. This article discusses Announcement based quantitative asset allocation strategy using machine learning models, based on 2018.Q1 to 2022.Q2 Chinese A share market. We initially select and adjust the pool of tickets through announcement signals, then use technical analysis methods with machine learning models to make return predictions. Finally, we construct portfolios using Mean-variance optimization on daily frequency. The result shows that the combination of fundamental analysis and machine learning models can generate satisfactory return. The best model can reach annualized return of 59.4% considering turnover fee, beating the market which has annualized return of 3%. The annual sharpe ratio with turnover fee of the best portfolio is 2.28, which is a satisfactory result for investors. Besides, through combining fundamental analysis with quantitative methods, the interpretability and stability of quantitative models are greatly enhanced, which provides a novel way in synthesizing two separate investment concepts. In sum, this paper can provide investors with a relatively novel investment strategy that based on the impact of announcement information on stock price and the combination of fundamental and technical analysis.
Forecasting the Unemployment in the US Under COVID-19 Based on the ARIMA Model
Authors: He Xingyi
Published: April 2023

This paper discusses the unemployment rate of the United States before and during COVID-19. The unemployment rate is always the most important index used to measure the current state of a country’s economy. The labor market since COVID-19 hit in March 2020 displays some changes due to the government’s policies and economists’ advice. This paper uses the autoregressive integrated moving average (ARIMA) model to forecast the future tendency of unemployment in several aspects, such as the layoffs and discharges rate, job openings rate, and hire rate. The research is mainly about how to use different variables to examine the changes in unemployment in the United States after the outburst of the COVID-19 pandemic in March 2020, and comparing the labor market before and after COVID-19. The assumption that the COVID-19 pandemic does not bring a negative influence on the unemployment rate was overturned after collecting the data and using the model to test, and this paper has drawn a new conclusion.
A Machine Learning Approach for Selecting Directors of Chinese Listed Company
Authors: Liu Yuexi
Published: April 2023

Contemporarily, the directors sever as a vital role in companies strategy decisions and daily operation. On this basis, it is crucial to select a suitable and appropriate directors of listed companies to fulfill the requirements and criteria of shareholders (at least most of them). In this case, this paper discusses a financial big data-based machine learning approach for board selection of Chinese listed companies. This approach achieves effective feature extraction through big data related to changes in boards of directors and successfully identifies the outstanding features of excellent boards. The empirical results show that machine learning models have a significant advantage over traditional methods, such as ordinary least squares (OLS) regression, for board selection by Chinese companies. According to the analysis, the model can extract important features of an excellent board of directors from big data related to the board’s features, such as academic, research and development (R&D), and politician backgrounds. These results shed light on guiding further exploration of board selection in China.
A Study of Institutional Investors' Shareholding and Corporate Risk-Taking
Authors: Li Pengchong , Chen Zixuan , Li Xiang
Published: April 2023

This paper analyzes the relationship and impact of stress-resistant institutional investors and stress-sensitive institutional investors on institutional investors' shareholding on corporate risk-taking, using a sample of A-share listed companies in Shanghai and Shenzhen from 2011 to 2020. It was found that (1) the shareholding ratio of stress-resistant institutional investors was negatively related to the level of corporate risk-taking; (2) while the shareholding ratio of stress-sensitive institutional investors was not significantly related to the level of corporate risk-taking. Studying the impact of institutional investor shareholding on corporate risk-taking, and implementing effective measures to improve the level of corporate risk-taking will help corporates to develop healthily and the economy to grow steadily.
A Study on the Measurement of Real Estate Bubble Based on GSADF: A Case Study of Four Super First-tier Cities in China
Authors: Gu Zeyang
Published: April 2023

The problem of high house prices is particularly prominent in super first-tier cities, and real estate bubbles are affecting the healthy development of the real estate industry. This paper applies the GSADF model to measure the year-on-year sales price indices of new commercial dwellings in four super first-tier cities in China, Beijing, Shanghai, Guangzhou, and Shenzhen, from 2011M01 to 2022M08, to examine the time points when their bubbles occur and burst. Results show that the bubbles in the four cities mainly appear in six time periods, and the maximum values of GSADF statistics all appear in 2013M03-2013M05, and the peak and frequency of the bubbles decrease significantly after 2018. Therefore, this paper suggests that we continue to adhere to the principle of "no speculation in housing"; improve the land use policy and build a multi-level housing supply system and continue to implement city-based regulation and control.
The Study on the impact of clean energy development on green economy
Authors: Li Haochen , Zhou Mi , Shi Xingyu
Published: April 2023

Based on the data from 2010-2020 in China, the green economy development index evaluation system is constructed through three dimensions of social life, economic development situation and ecological environment, and the entropy value method is used to measure the level of green economy development, and the panel Tobit model is used for regression analysis. The study shows that clean energy has a significant promotion effect on the improvement of green economy; the per capita clean energy power generation, local financial general budget expenditure, and the value-added index of tertiary industry all show a positive promotion effect on the development of green economy; the daily treatment capacity of urban sewage, electricity consumption and the development of green economy all show an inverse relationship. Therefore, the country should accelerate the construction of energy modernization industrial system, improve people's clean energy usage, and then promote the development of green economy.
Research on Financial Risk Path Identification of New Energy Enterprises Based on ISM-MICMAC Model
Authors: Cao Yu , Xu Zehao , Xu Minghui
Published: April 2023

Due to the relatively low input and output of developing countries in the field of new energy at this stage, it is particularly important to accurately identify the main influencing factors of financial risks of new energy enterprises. This paper takes the financial risk of China's new energy enterprises as the research object, identifies 17 factors affecting the financial risk of new energy enterprises after sorting out relevant indicators, and innovatively uses ISM (Interpretative structural model) -MICMAC (Matrix of Cross-Impact Multiplications Applied to Classification) to show the logical level and influence relationship between various factors. The results show that new energy enterprises should first consider the fundamental factor of management myopia; strengthen the control of intermediate factors, such as lack of environmental awareness, and improper investment; monitor the appearance layer factors with strong dependence at any time, such as inappropriate technical talent reserve. This study is helpful to provide practical significance for the identification of the financial risk chain of new energy enterprises.
Research on the Fluctuations Caused by the Covid-10 on the Food Industry Based on Fama-french Five-factor Model
Authors: Jiang Haoming
Published: April 2023

Since the outbreak of Covid-19, the epidemic has had a very large impact on various industries. This article focuses on the analysis of the food finance industry and discusses the food industry is affected by the pandemic. By analyzing the Fama-French five-factor model, linear regression is performed before and after the emergence of vaccines during the epidemic. Among them, some factor p-values in the food industry have changed in three periods, and the significance of the remaining factor p-values has remained unchanged. After comparing the changes in the significance of each factor, the coefficients corresponding to the factors are compared. The results indicate that the food industry is more affected by the epidemic and more sensitive to the market and it also has a certain aggressiveness At the same time, it was found that small market value stocks have a higher rate of return for investors.
Pricing Strategy of Dual-channel Supply Chain with E-commerce Live Broadcast
Authors: Zhang Rong , Jing Xuming
Published: April 2023

As a novel sales strategy, live-streamed selling has drawn considerable interest. In this paper, we study a dual-channel live-streaming supply chain consisted of a single manufacturer, a moderate live streamer and a live-streaming platform. We construct two scenarios, the retail live streaming and commissioned live streaming modes, under manufacturer self-live streaming and investigates the optimal mode with the Stackelberg games. The study discovers: (1) Under the commissioned live streaming mode, the price of Internet celebrity live streaming is less expensive than that under manufacturer self-live streaming within a specific commission ratio and is proportionate to the commission ratio. (2) Under the retail live streaming mode, only when consumers' preferences are more concentrated on the manufacturer self-live streaming, the price of Internet celebrity live streaming is less than the manufacturer self-live stream channel. (3) In both scenarios, Internet celebrity live-streaming sales effort is consistently lower than the manufacturer self-live stream channel. Additionally, the consumer's sensitivity coefficient and the trust degree in Internet-celebrity streamer, the personal impact of Internet-celebrity streamer, and the proportion of impulsive consumers are all positively correlated with the price, sales effort, and profit of both channels.
Research on the Current Situation, Challenges and Path of Green Finance Development in China under the Background of "Double Carbon"
Authors: Cui Mingyu , Han Li
Published: April 2023

As the world's largest carbon emission country, China has put forward the "double carbon" goal in order to better respond to climate change, and the development of green finance is an important measure to implement sustainable development and achieve the "double carbon" goal. This paper takes green finance under the background of "double carbon" as the research object, combines the current development of green finance in China, and summarizes the challenges faced by green finance in China from five aspects: institutional system, product innovation, carbon trading market mechanism, information disclosure, and risk assessment. Finally, according to the internal requirements of the "double carbon" goal and the basic national conditions of China, we propose solutions from the four dimensions of establishing a restraint and incentive mechanism, promoting product innovation, attaching importance to talent cultivation, and strengthening international cooperation, aiming at providing suggestions for the development of green finance in China.
The Logic and Principles behind the "China Miracle" and China's Economic Transformation and Upgrading
Authors: Bao Xingrun
Published: April 2023

This paper analyzes the logic and reasons behind China's economic growth miracle and economic transformation and upgrading from both theoretical and empirical perspectives, which is helpful for understanding the factors of China's economic development. It is found that China's economic development has the characteristics of extensive and market-oriented, accompanied by some problems, such as the lack of quality and innovation, possibly caused by fiscal decentralization and competitive tournaments. By using data to analyze the trend of China's economic transformation, we find that it is constantly improving.
Digital Inclusive Finance and Corporate Social Responsibility
Authors: Yu Xinyu
Published: April 2023

The development of Digital Inclusive Finance (DIF) has played an indispensable role in promoting the development of China's macro-economy as well as the economic benefits of micro-enterprises. By examing data on Chinese listed companies from 2011-2021, this paper investigates the impact of DIF on corporate social responsibility (CSR) and its underlying mechanism. The results show that DIF has a significant contribution to the assumption of corporate social responsibility and the results pass a series of robustness tests; the results of the mechanism tests show that DIF promotes CSR by improving the quality of accounting information disclosure; further research finds that the impact of DIF on CSR is greater among non-state enterprises, smaller enterprises and enterprises with a lower percentage of institutional investors' shareholding. This study provides inspiration for promoting CSR and government policy making.