Herring and mackerel are two of the most important pillars of Scottish fisheries. In recent years, global warming has caused a gradual rise in ocean temperatures. In order to survive and reproduce, herring and mackerel populations will migrate. This will have a huge impact on Scotland’s fisheries. Therefore, we need to predict the relocation of fish stocks in advance, make timely adjustments to the fishing range, and minimize the loss of the fishing industry. In this article, we subdivide the research (...) target sea area into 39 regions, establish the optimal SARIMA model for each region based on the collected seawater temperature time series data, and take region 13 and region 15 as examples to fit the ARIMA and ARIMA models with a period of 12. The results show that the SARIMA model fits well in all regions and predicts the temperature changes in the studied sea area from 2021 to 2050. Finally, according to the predicted sea temperature in different periods, the migration position of the fish school is predicted. (shrink)

This paper first extracted 11 indicators from four aspects of infrastructure, educational equity, teaching quality, and scientific research level and established a multidimensional higher education evaluation system. After that, according to TOPSIS and the entropy method, a comprehensive score of the development of higher education was obtained, and a comprehensive index of higher education was proposed. According to the level of the score, we divide the development status into 5 categories, and use discrete Hopfield neural network for verification. In addition, (...) we applied the model to many countries and chose Vietnam to conduct an in-depth analysis of the model, including reforming policies and evaluating policy effects based on cobweb model. Finally, we found that the application of the model is very universal, but in reality the reform is very difficult. (shrink)

In the present research, based on the game research paradigm, the research tools are the dictator game and the trust game, and the research objects are Chinese university students. We adopt 2 × 2 between-subjects design experiment to investigate the influence of social class on university students’ prosocial behavior. Across the experimental study, we find that in the two situations of dictator game and trust game, self-social class has no significant influence on university students’ prosocial behavior; in the situation of (...) dictator game, target social class has a significant influence on university students’ prosocial behavior, and it is regulated by self-social class. Under the condition of low self-social class, the higher the target social class, the more prosocial behavior of university students, which confirms the perspective of status and negates “if you are poor, you will be good for yourself.” Under the condition of high self-social class, the lower the target social class, the more prosocial the behavior of university students, which confirms the perspective of fairness and echoes “if you are good, you will be good at the world”; in the context of the trust game, target social class has a significant influence on university students’ prosocial behavior, and there is no interaction effect with self-social class. (shrink)

With the continuous development of the stock market, designing a reasonable risk identification tool will help to solve the irrational problem of investors. This paper first selects the stocks with the most valuable investment value in the future through the random forest algorithm in the nine-factor model and then analyzes them by using the higher-order moment model to find that different investors’ preferences will make the weight of the portfolio change accordingly, which will eventually make the optimal return and risk (...) set of the composition of the portfolio change. The risk identification system designed in this paper can provide an effective risk identification tool for investors and help them make rational judgments. (shrink)

Economy is one of the major issues in the United States presidential election campaign. In order to investigate the impact of the US presidential election on the economy, this paper first constructs an analysis model of the economic impact on the United States based on stepwise regression and principal component analysis to analyze the focus of different candidates’ attention on the economic issues and its possible impact on the US economy in the election year and after the election; secondly, a (...) Chinese economic impact analysis model based on factor analysis and machine learning logistic regression was constructed to analyze the impact of the US presidential election on the Chinese economy. At the same time, the future economic development of the United States and China based on the time series prediction model is forecast and analyzed, respectively. Finally, the countermeasures and policy suggestions on China’s related economic development are put forward. (shrink)

Adopting fair value measurement may bring more earnings fluctuations and induce irrational psychology and radical financing behavior of managers. Based on behavioral corporate governance theory, using the sample of Chinese A-share nonfinancial listed companies during 2007–2017, this paper empirically examines the regulatory effect of fair value measurement, that is, whether fair value measurement affects the company's financing decisions when managers have irrational psychological characteristics, i.e., overconfidence. The study found that overconfident managers of the company that have fair value measurement assets (...) will be more aggressive for debt decisions, indicating that fair value measurement has a positively regulatory effect on overconfident managers. (shrink)

This paper uses WIOD data to calculate and analyze the dominant comparative advantage of Chinese manufacturing global value chain based on the WWZ method and empirically studies the influence of digitization on the competitiveness of manufacturing GVC. The main findings are as follows: The competitiveness of Chinese manufacturing GVC has been improved as a whole. The GVC competitiveness of different types of industries is quite different: GVC in middle- and low-knowledge-intensive industries have the highest competitiveness, while those with middle- and (...) high-knowledge-intensive industries have the lowest competitiveness and apparent shortboard industries. Digitization is conducive for enhancing the competitiveness of manufacturing GVC. In terms of industries, digitization has a significant positive effect on the GVC competitiveness of middle and high-knowledge-intensive industries but not on low knowledge ones. As for the sources of digital input, the positive effect is more outstanding. Also, it is more remarkable when it comes to the software and information technology service industry. As for the mechanism of action, labor productivity is an effective way to improve the manufacturing GVC competitiveness digitally. Finally, after a robustness test, the positive effect of the digital input remains robust. (shrink)

Different countries have different education systems and their advantages and disadvantages. It is necessary to optimize their own higher education system and formulate policy plans to fully realize the optimization of the higher education system. For this reason, we propose to establish a continuous evaluation model of higher education health. This study mainly uses principal component analysis and entropy weight method to determine the evaluation model of higher education health status and makes autoregressive moving average model time series analysis based (...) on the higher education evaluation model, which is obtained by studying long-term trends. The future development of education realizes the evaluation of sustainability. For Vietnam, that needs to be adjusted, the evaluation indicators based on the health status of the higher education system in developing countries will be added, tested, and adjusted and combined with the ARMA model prediction to determine the time period for the policy to meet reasonable expectations, and targeted development policies are proposed. Finally, we test the sensitivity of the established model, evaluate and analyze the advantages and disadvantages of the model, And combine the full text analysis to get the final conclusion. (shrink)

Based on the daily data from January 2, 2019, to September 30, 2020, this paper uses the extended CoVaR model to measure the spillover effect of systemic risk among top 10 securities companies by market value in China, All Share Brokerage Index, All Share Financials Index, All Share Insurance Index, and CSI Banks Index. The conclusions are as follows: there are risk spillover effects among 10 securities companies, which are asymmetric and bidirectional and highly volatile in a short period of (...) time; the spillover effect of systematic risk of securities companies is not necessarily related to the market value of securities companies but has a strong relationship with the stock market; there are risk spillover effects between the sample securities companies and the four major indexes, but there are significant differences in the size of the spillover effects; the securities industry has a great risk spillover effect on the financial industry, but the risk spillover effect of other financial sectors on the securities industry is very small. Finally, we put forward countermeasures and suggestions. (shrink)