As the digital economy continues to develop, the socio-economic structure and lifestyle have undergone significant changes, which have had a profound impact on the labor market. To explore the mechanism of the digital economy’s impact on income, this study builds a personal panel data model from a micro perspective and conducts an empirical analysis. The matching situation of individuals in terms of employment and income is assessed through the “skill-job” matching degree and “skill-income” matching degree. A bidirectional fixed-effects model is used for calculation and analysis, comprehensively considering individual characteristics, skill levels, job requirements, and other factors. This study examines the direct and indirect effects of the digital economy on income and explores its influencing mechanisms.

Blockchain technology, with its characteristics of decentralization, security, transparency, and traceability, brings new opportunities and challenges to the development of the digital economy and the digital art economy. Based on existing literature research, this paper deeply analyzes the core concepts and working principles of blockchain technology and explains its dual role in the digital economy and digital art economy from a theoretical perspective. On this basis, this paper conducts an empirical study on the application of blockchain technology in the digital economy and digital art economy through typical cases and explores future development trends of blockchain technology in this field.

In the increasingly competitive field of digital finance, financial institutions can better establish connections with target customer groups through carefully designed short video promotions. This study explores the role and optimization path of short videos in promoting digital financial products from the perspective of short videos. By analyzing the user behavior and interaction patterns of short video platforms, combined with the characteristics of digital financial products, targeted promotion strategies have been proposed. These strategies can not only help financial institutions more effectively reach potential customers, but also enhance user engagement and loyalty.

Based on the concrete experience and practice of China's journalism and communication education reform in recent years, this paper discusses the needs of The Times, concept innovation and mode exploration. This paper focuses on how to empower journalism and communication education with "practice", puts forward the concept of "practice view of journalism education", upgrades the "practice education" to "comprehensive practice", promotes the innovation of journalism and communication education model, and promotes the high-quality development of journalism and communication education. The article also discusses the opportunities and challenges of journalism and communication education in the new situation, and how to better adapt to the change of media technology and train excellent journalism and communication talents to adapt to the new communication environment.

With the booming development of the digital economy, integrated media marketing has become an important means for enterprises to promote products and services. This study aims to explore the role and optimization strategies of integrated media marketing in the transformation of digital financial products, with a particular focus on how new media audiovisual works can empower digital financial products and promote their development towards more efficient and personalized directions.

This paper investigates the formation mechanism and dynamic changes of the AH premium, which represents the difference in price between A-shares and H-shares of Chinese companies dual-listed at the Shanghai/Shenzhen and the Hong Kong stock exchanges. The study employs multi-factor econometric models to examine the effects of regulatory differences, investors’ sentiment, firm-specific fundamentals, and macroeconomic conditions on explaining both the collective and individual impacts on the AH premium. We find that capital control policies and regulatory differences are the major sources of the premium, with more stringent restrictions associated with higher premiums. Investors’ sentiment is also found to be significant as speculative retail trade at the A-share market drives the price discrepancy, particularly during periods of market volatility. Firm-specific fundamentals such as profitability or leverage also explain much of the price difference between the two markets. Macroeconomic conditions, such as exchange rates and interest rate differences, are also important in explaining the dynamic changes of the AH premium. The study provides important insights for arbitrage opportunities and market inefficiency and has policy implications for policymakers to enhance cross-market integration.

In the context of rapid technological development and financial innovation, Digital Finance has become a key driver for enhancing Corporate New Quality Productive Forces. This study empirically examines the impact of Digital Finance on Corporate New Quality Productive Forces using financial data from A-share listed companies in China from 2011 to 2021. The results indicate that Digital Finance significantly enhances Corporate New Quality Productive Forces. Heterogeneity analysis reveals that Digital Finance has a more pronounced effect on non-state-owned enterprises and companies in the central region. Mechanism analysis shows that Digital Finance further promotes Corporate New Quality Productive Forces by reducing management costs, optimizing fixed asset allocation, and increasing patent output. Additionally, the moderation effect test results demonstrate that Digital Infrastructure significantly strengthens the positive relationship between Digital Finance and Corporate New Quality Productive Forces. These findings provide empirical evidence for advancing the development of Digital Finance and Digital Infrastructure, accelerating the formation of Corporate New Quality Productive Forces, and promoting high-quality development.

The appearance of covid-19 has ravaged the global and triggered a economic recession. This essay aims to predict the macroeconomy after the pendamic shock. We start with an analysis of the correlation between covid and economic mobility, and then try to make predictions about GDP, mainly using some machine learning models. Several machine learning models are built to forecast and then we estimate their performances. In detail, first, we will try to predict US GDP using all models.After estimating their results, we are able to choose the best model among all. Then we use this model to forecast Italy’s GDP in order to make sure its ability at a larger scales. To make comparison, we also use traditional VAR model to predict and get its performance. The conclusion of this paper shows that the LSTM model performs the best among all the machine learning models. However, compared with the traditional VAR autoregressive model, there was still a gap of 2.6 times.

I examine the ability of stock selection and time selection in the Chinese A-share Stock Market. I find that significant timing skill of the Chinese stock mutual funds on the HML factor, but not the SMB factor in the time period between 2003 and 2020. I construct the Fama-French model, 4-factor model, Treynor-Mazuy model, and Henricksson-Merton model in the whole sample period between 2003 and 2020, as well as three sub-sample periods to examine the significance of different factors and how they perform in each sub-sample period. I also generate the cumulative return and average of the MOM factor. I find that the MOM factor’s average returns are more positive in the latest sub-sample period, from 2017 to 2020.

The Computable General Equilibrium (CGE) model is a significant tool in economic analysis that has become popular to be used for policy evaluation, forecasting, and studies of structural components. This lumps the economy into production, consumption, government, and global trade sectors that answer to particular production technologies, consumption behaviors, and market behaviors specific to a range of economic actors. The CGE model can owl these with by solving equations like production and consumption functions, capturing the interactions between sectors, bitter the equilibrium price and quantity calculations in section engineering construction., which allow us to assess efficiently sectoral impacts, resource distribution and effects of policy measures further examined in this paper. in the building industry, and in the economy of our society as a whole.