In the digital age, digital resources are naturally sustainable, and they have become the basic technologies and platforms by which to maintain the sustainable development of the social economy. At a time when global epidemic prevention and control are becoming increasingly dynamic, digital empowerment has become a basic tool by which to promote sustainable social and economic development. In terms of digital empowerment, grassroots digital empowerment has become the most critical and urgent link to strengthen. In this study, a literature analysis using CiteSpace and NVivo software shows that the research prospects of grassroots digital governance are broad, but there is a lack of communication and cooperation between the research subjects, and a cooperative network of close and benign interaction has not been formed. There are many hot topics in the research, mainly focusing on five aspects: digitalization, grassroots governance, digital governance, digital technology, and digital countryside. The theme of these papers is changing to digital empowerment, technology empowerment, and “digital intelligence governance”. These characteristics and problems correspond to the practice of digital governance at the grassroots level in China. Therefore, in the theory and practice of Chinese grassroots digital governance, we must adhere to the problem-oriented principle and take “problem-driven” as the basic logic of grassroots digital governance. At the same time, it is necessary to consider the complexity of China’s grassroots communities and the stages of governance technology, adhere to the principles of integrated development and collaborative innovation, and take “mixed governance” as the main logic of grassroots digital governance. Generally speaking, we should realize optimization in the innovation of grassroots digital governance from three aspects, namely, strengthening the integration of grassroots digital systems, improving the ability to solve the problems of digital governance, and advancing the transformation of grassroots digital governance with incremental governance logic.

Recent innovations are increasingly recognizing applications in precision agricultural systems that use data science techniques as well as so-called machine learning techniques. Big data analytics have created various data-intensive decision-making opportunities. This study reviews the big data analysis practices in the agriculture industry to resolve various problems to provide prospects and exciting fields of application in China. In the successful implementation of precise farming, the high-volume and complicated data generated present challenges for the economic growth of China. Emerging deep learning techniques seem promising and must be reinvented to meet current challenges. Thus, this paper suggests a big data analytics agriculture monitoring system (BDA-AMS) to ensure the highly accurate prediction of crop yield in precision agriculture and economic management using a deep learning algorithm. The convolution neural network gathers the raw images from UAVs and performs early predictions of crop yield. The simulation analysis using an open-source agricultural dataset resulted in a high parameter–precision ratio (98.8%), high accuracy (98.9%), a better performance ratio (95.5%), an improved data transmission rate (97.8%), a reduced power consumption ratio (18.8%), and an enhanced weather forecasting ratio (94.8%), production density ratio (98.8%), and reliability ratio (98.6%) compared to the baseline models.

CiteSpace was used to visualize the knowledge ecology of the green finance research literature in CNKI and WOS, and NVivo software was used to root the code analysis of the current green finance policies in China. From the analysis of the research hotspots, both in China and internationally, great importance is attached to the research on green finance, and the research on green financialization has broad prospects. The core group of authors on green finance research in China has taken shape, whereas the core group of authors of green finance research in the rest of the world has not yet taken shape. There is a lack of close cooperation and a relatively low level of communication among important domestic green finance research institutions, and a certain scale of cooperation network has been formed among influential international institutions. The major countries for influential international green finance research are Singapore, France, Switzerland, Canada and Saudi Arabia, and the international influence of China’s green finance needs to be improved. Both domestic and foreign countries attach great importance to the balance between economic growth and the low-carbon green transition. China attaches more importance to macroeconomic development and strategic transition, but internationally, the trend is toward microcorporate green performance, policy optimization and market innovation. The research focus of green finance has achieved in three stages of evolution, namely, green industry in the early stage, green services in the middle stage and green strategy in the near future. International green finance research focuses on climate change, market players, government performance, social responsibility sharing, etc. In particular, reducing the cost of green development is the focus of international green finance. The domestic focus is on climate risk, carbon neutrality, carbon peak, low-carbon transition, carbon reduction, and green transition themes. Internationally, the focus is on financial performance, decisions, green finance, credit, drivers, quality, socially responsible investment and other topics. Considering the practical implementation of green finance in China, the governance logic of China’s green finance policy consists of five main categories: policy belief, policy objective, policy tool, policy feedback and policy cycle. In the future, the development and improvement of China’s green finance policy should achieve breakthroughs in the following aspects: first, guiding the main body of green finance policy to firmly establish policy beliefs; second, improving the clarity of green finance policy objectives; third, enhancing the overall effectiveness of the governance of green financial policy instruments; fourth, strengthening the green finance incentive policy feedback system construction; and fifth, improving the quality of green finance policy cycles.

Overeducation means that the rapid growth in the numbers of secondary and higher education graduates begins to exceed the actual demand of the labor market due to this excessive expansion of education. Consequently, educated workers are faced with knowledge unemployment, or are engaged in jobs that do not match their academic qualifications, resulting in a decline in income and a waste of educational resources. In order to explore the effect of overeducation on workers’ job satisfaction, we selected data from China Household Tracking Survey (CFPS) and conducted a fixed-effect ordered logit model regression analysis. It was found that overeducation has a negative impact on employees’ job satisfaction and an impact on wage penalty. Wage income has a mediating effect on the relationship between overeducation and job satisfaction. We present three policy suggestions: for the Government’s administration department, it is necessary to actively create an environment for matching education and occupation; to improve the possibility of matching education and occupation; and to reduce the negative effect of labor contracts on the improvement of human capital and the job satisfaction of overeducators by adjusting the flexibility and stability of the labor contract. For institutions of higher learning: it is necessary to make forward-looking adjustments to the educational structure, according to the actual needs of economic and social development to adapt to the social demand for talent and development trends; to train highly skilled and high-quality workers needed for social development; and to reduce the unreasonable distribution of resources caused by overeducation. For enterprises: employees should be guided to correctly understand the unpredictable relationship between education and work and reasonably reduce the job expectations of new employees, according to their own work experience and technical level.

In the digital era, digital technology enables political, economic and social fields. However, while the digital divide is pervasive due to the influence of population, geography, the economy and other factors, blindly pushing digital change often leads to the further expansion of the risks of social inequality. This paper constructed a three-dimensional analytical framework of digital gap-bridging policies from the perspective of policy objectives, policy tools and policy effectiveness. Based on this framework, this paper used the content analysis method to conduct a quantitative analysis of 81 digital gap-bridging policies published in China and selected the PMC index model for policy evaluation. The result shows that the policy goal of bridging the digital divide in China mainly focuses on bridging the material access gap and the technology gap, while inadequate attention was paid to the attitude gap and the use gap; in terms of policy tools, there exists an unbalanced situation regarding supply tools, environment and demand tools, with the first one being emphasized more than the others; there is still policy “fatigue” regarding weak feedback and less incentive, though the internal consistency level of the policy is good and the policy structure is reasonable. Therefore, we should optimize policy objectives and policy tools to bridge the digital divide. We should not only consider whether there is “or not” on the equipment and whether there is “or not” on the technology, but also consider whether we want to “or not” on the attitude and feel “or not” on the use; we should not only “give” unilaterally through supply-oriented policies but also “cooperate” with each other through demand-oriented and environment-oriented tools to release the maximum potential of digital empowerment.

The field of industry–university research cooperation policy is about to enter a new stage. It is necessary to systematically sort and summarize the literature, both at home and abroad, that has been produced in recent years. Through knowledge map analysis of the current situation regarding the development of industry–university research cooperation policy, from both domestic and foreign perspectives, taking the core documents included in the Web of Science and China National Knowledge Infrastructure database as samples, and through visual research on the time context, author, organization, theme, and other key nodes of industry–university research cooperation policy research, with the help of CiteSpace and NoteExpress measurement software, we can draw the following conclusions. Domestic research is relatively focused on colleges and universities; that is, industry–university research cooperation as a mechanism to cultivate innovative talents and improve scientific research and enhance social services, while foreign countries pay more attention to the technological utilization and technological innovation of enterprises and their accompanying economic benefits. Domestic and foreign research have their own characteristics, and the research quality of the two is equal. Generally speaking, research on the policy of domestic university research cooperation should focus on the following three points in the future: It must be closely related to the functions of colleges and universities, the nature of enterprises, and social needs; we must attach great importance to empirical research; and we must pay attention to cross-organizational research.