In order to explain the heterogeneity of rural industrial project governance, and based on summarizing the experience of industrial poverty alleviation, to inspire and prospect industrial revitalization, it is urgent to have a systematic grasp of the relationship between the state and society. Among them, national embeddedness and social autonomy are two core dimensions, and according to the high and low configurations of these two dimensions, rural industrial projects present four ideal types: decoupling mode, empowerment mode, emphasis mode, and collaboration mode. These types are highlighted in the practical operation process of asset income assistance, dispersed individual farming, leading enterprise assistance, collective economy, and cooperatives. They are nested with their own conditions, have different operation modes and performance, and have dynamic evolution space. In terms of specific experience presentation, the research is based on a reanalysis of the "Case Studies of Targeted Poverty Reduction and Alliuiation in 100 Villages" conducted by the Chinese Academy of Social Sciences, which enables clearer implementation of different industry practice models and helps clarify the matching and optimization of multiple governance mechanisms during the transition from industrial poverty alleviation to industrial revitalization.

Industrial policy is an important way for the government to regulate the macroeconomy and play its role. Accurately grasping the intensity and direction of policy implementation should be the key issue for giving full play to the effective market and the effective government and promoting the construction of a unified national market. However, existing studies have not given targeted conclusions and inspirations. In this regard, this paper explores the impact of regional industrial policy implementation on domestic market segmentation based on theoretical analysis and empirical tests. The results show that the implementation of regional industrial policies helps to alleviate the degree of domestic market segmentation as a whole, but there is a threshold effect in the specific implementation process. Therefore, in order to better play the role of industrial policies, it is necessary to pay attention to the "moderate range" of policy implementation intensity. Heterogeneity analysis found that there are significant differences in the "moderate range" in regions with different government governance capabilities and economic development levels, which means that the above factors should be fully considered when optimizing the positive benefits of industrial policies on the construction of a unified national market. This provides an important reference for the implementation of industrial policies at the central and local levels to help the construction of a unified national market.

Long-term care insurance is an important institutional arrangement in the social security system, and improving it is of great significance for promoting the implementation of the Healthy China strategy. Different from the insufficient explanation of the path mechanism of the health effects of long-term care insurance and the lag of research data in previous studies, this paper empirically analyzes the impact of long-term care insurance on the multidimensional health of the elderly population using the latest CHARLS data from five periods from 2011 to 2020, and uses the Grossman's Model of Health Demand to test the underlying transmission mechanism. Research has found that long-term care insurance significantly improves the physical and mental health of the elderly. Mechanism analysis shows that long-term care insurance improves the health of the elderly by increasing household consumption and reducing the burden of child care, meeting their needs and increasing health investment. Heterogeneity analysis shows that long-term care insurance is more conducive to improving the health welfare level of vulnerable elderly groups such as the elderly, women, those with lower education levels, and those with lower incomes, and has a health promotion effect that tends towards vulnerable groups. Based on this, it is recommended to improve the top-level design, gradually expand the pilot scope and coverage of insured persons, establish a precise identification mechanism for nursing assistance, increase subsidies for disadvantaged groups, strengthen the construction of grassroots public health facilities, and promote equalization of basic public services.

The three years of severe epidemic sweeping the world did not destroy China's economic development. During the epidemic, China's economy still maintained a relatively low economic growth, and the epidemic recovered rapidly. However, to determine the high-quality development trend of China's economy, a theoretical objective understanding and analysis are needed. This article on the basis of marxist political economy new era development "new quality productivity" the latest theoretical achievements and labor analysis, for the reality of China's economic fundamentals and trend analysis, determine the reform and opening up after China's labor force increasingly strong and damage, and labor object did not reduce the technical level and scale construction, can support rely on the overall development of intelligent labor is reflect "new quality productivity" digital economy development after the outbreak of China's economy to continue the high quality development. What's more, the gradual formation of the household robot market will become a new economic growth point in China's economic development. Therefore, with the effective solution of rural revitalization, stock market regulation, high level of external opening up, high-level development of science and technology and reform of higher intelligent education and basic problems, China's economy will rely on the development of "new quality productive forces" and usher in the second economic development climax after the reform and opening up.

New quality productive forces is an important basis for high-quality development and Chinese path to modernization.The development of new quality productive forces needs the support of human talents. Different from previous studies on new quality productivity, this article integrates population variables and the development of new quality productivity into the same framework. Based on the data of Chinese cities from 2010 to 2022, panel data regression analysis, chain multiple mediation effects and other methods are used to explore the marginal impact of population size and age structure on the development of new quality productivity, and further verify the possible impact paths.The research results indicate that population size, birth rate, and proportion of young people can actively promote the development of new quality productive forces.The impact of population aging on new quality productive forces has a duality. The higher the proportion of elderly population, the more unfavorable of the development of new quality productive forces. However, the higher the proportion of healthy elderly population, the more favorable of the development of new quality productive forces. Based on the above conclusions, the study proposes relevant countermeasures and suggestions from the perspective of optimizing population development strategies, aiming to provide valuable insights for accelerating the development of new quality productive forces and facilitating the realization of Chinese modernization.

Exploring the current usage and inherent characteristics of policy tools for digital village construction in China is of great significance for optimizing the future policy system of digital village construction in our country. However, there is still a relative lack of literature based on systematic analysis of large-scale national samples of digital village policies and research on regional differences. This article constructs a two-dimensional policy analysis framework for digital rural areas based on policy tool theory and new endogenous development theory and uses LDA method to quantitatively analyze 162 relevant policy texts nationwide from 2018 to 2023. The results show that: in the dimension of basic policy tools, strategic measures are preferred; in the dimension of driving force for digital rural construction, policy tools aimed at improving farmers' participation in digital rural areas are used more frequently, but the supply-side policies are not comprehensive enough, and the demand-side policies are obviously missing. Furthermore, the overall integrity, systematicness, and coordination of the policy system are insufficient. Based on the above conclusions, it is suggested that systematic analysis of digital rural policy texts should be carried out regularly in the process of digital rural construction to optimize the structure, continuously consolidate the digital foundation, advance at the right time, and continuously improve farmers' digital literacy to form a policy consensus.

Digital village construction is an important part of rural revitalization strategy in the new era. Digital rural governance needs not only a technical breakthrough, but also the intervention of political power to remove obstacles at the social level. This paper systematically analyzes the tension between technology, village, governance and other elements in digital rural governance, that is, the "technology-governance" tension between the tool effectiveness of technology and the humanism of governance, and the "local-governance" tension between the externality of governance and the autonomy of rural society. The study found that the learning mechanism helps to promote the combination of technology validity and governance temperature, and the connection mechanism realizes the integration of autonomy and governance through emotional connection and interest connection, thus resolving the double tension of "technology-governance" and "local-governance". The study elucidates the logical chain of "factor relation-tension presentation-tension resolution" in digital rural governance from the practical level, and provides an effective action plan for promoting digital rural construction.

As the largest form of agricultural cooperative economic organization in contemporary China, cooperatives have become a crucial force in advancing a Chinese-style cooperative economy. This study, from the perspective of farmers’ psychological identity, employs the PLS-SEM path modeling approach to empirically investigate the effects of policy cognition and risk perception on farmers’ intentions to participate in cooperatives. The mediating role of perceived value and the moderating effect of social network interaction are introduced to explore the underlying mechanisms influencing farmers’ participation decisions. Using survey data collected from 724 farmers in Guizhou, Sichuan, and Yunnan provinces, the results reveal that cooperative participation intention is shaped by farmers’ policy cognition and the heterogeneity of their risk perception. Enhancing farmers’ perceived value is identified as the core pathway to strengthening their participation intentions. Furthermore, social network interaction positively moderates the relationship between farmers’ psychological identity and cooperative participation intention. Regional analysis highlights significant variations in path coefficients across different areas, influenced by varying levels of economic development, suggesting that socio-economic disparities affect the impact of psychological identity on cooperative participation intention.

Intellectual property management (IPM) is a crucial skill for enterprises seeking innovative development. This study uses the certification of the enterprise intellectual property management system (Enterprise IPMS Certification, GB/T 29490-2013) as a quasi-natural experiment. It analyzes data from firms listed on the Shanghai and Shenzhen A-share markets between 2007 and 2022 to explore how enterprise IPM affects enterprise innovation and the mechanisms involved. The findings show that Enterprise IPMS Certification significantly enhances enterprise innovation levels, primarily through three channels: improving innovation efficiency, strengthening intellectual property protection capabilities, and alleviating financing constraints. Heterogeneity analysis indicates that the certification has a more pronounced innovation incentive effect on small and medium-sized enterprises and those with smaller intellectual property scales, suggesting a "help in time of need" rather than an "addition to splendor" policy effect. Additionally, the impact is primarily concentrated in regions with high levels of intellectual property protection.Further analysis reveals that Enterprise IPMS Certification can also improve the quality of enterprise innovation, promoting a comprehensive enhancement in both the quality and quantity of enterprise innovation. Unlike existing literature that focuses on the impact of China's external intellectual property environment on enterprise innovation, this paper shifts the focus to the internal aspects of enterprises. It reveals the significant role of intellectual property management in enterprise innovation and development, providing important theoretical and empirical evidence for understanding and optimizing Enterprise IPMS Certification in China.

Against the backdrop of a chaotic ESG investment market and insufficient development momentum, it is crucial to explore the development of corporate ESG from a macro-government perspective. Unlike previous studies that have primarily focused on single green development policies, this research takes a more comprehensive policy system approach. Using a sample of A-share listed companies from 2010 to 2022, we construct a multi-period difference-in-differences (DID) model based on cities piloting social credit system development to empirically investigate the impact of social credit system construction on corporate ESG performance. The study finds that the development of the social credit system can enhance corporate ESG performance. Mechanism tests reveal that the social credit system promotes ESG performance by fostering a culture of cooperation, alleviating financing constraints, and encouraging green innovation. Heterogeneity analysis shows that the positive impact of social credit system development on ESG performance is more significant in private enterprises, high-pollution industries, first- and second-tier cities, and regions with higher government credit levels. The findings not only provide theoretical support for the construction of the social credit system but also offer practical guidance for overcoming the challenges in corporate ESG development.

In the new development stage, promoting the green economic transformation and achieving sustainable development are closely aligned with China’s "dual carbon" objectives. Although some scholars have studied influencing factors of ESG rating disagreement, few have explored the role of management characteristics in this context. Based on this, the study takes the A-share listed companies on the Shanghai and Shenzhen stock exchanges from 2018 to 2022 as samples to explore whether the green cognition of senior executives will affect the ESG rating disagreement. The findings reveal that the green awareness of senior executives significantly reduces ESG rating disagreement. Mechanism analysis indicates that senior executives’ green cognition enhances information transparency through both public and non-public channels, effectively reducing information asymmetry and thereby lowering ESG rating disagreement. Further analysis reveals that in the samples of non-state-owned enterprises, non-heavy-polluting enterprises and large enterprises, the effect of executives’ green cognition in narrowing the ESG rating disagreement is more significant. This article enriches the literature on senior executives’ green cognition and ESG rating disagreement, providing new path guidance and theoretical support for the standardized development of ESG ratings.