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This paper reviews the research progress of industrial resilience and its related fields, analyzes and evaluates the connotation and the measurement methods of industrial resilience, and outlines the influencing factors of industrial resilience. The findings show that industrial resilience is a complex coupling system composed of economic, social, and ecological environment subsystems that interact with each other. This paper focuses on the core contents of industrial resistance, recovery, re-orientation and renewal, aiming to achieve the sustainable development in the economy, the society, and the ecological environments. However, there are still deficiencies in the theoretical framework construction, comprehensive exploration of the research subjects, and cross-industry comprehensive researches in current industrial resilience researches, leaving broad space for future researches. In short, a systematical review of the industrial resilience can help to deeply understand it and provides useful references for promoting the improvement of China’s industrial resilience and the steady economic development. Reference | Related Articles | Metrics | Comments（0） Select Digital Transformation Enables High-Quality Development of Manufacturing Enterprises：From the Dual Perspectives of Economic Benefits and ESG Performance TAN Ya-fei, ZHU Zhao-hui, LI Min-xin Journal of Jiangxi University of Finance and Economics    2024, 0 (4): 45-58.   Abstract （30）            Knowledge map    Save Digital transformation is a stabilizer of the productivity and a catalyst for the sustainable development in manufacturing enterprises. Whether digital transformation can realize the“win-win”result between economic performance and ESG performance is an important issue in the high-quality development of manufacturing enterprises. Based on the data of the listed manufacturing enterprises from 2010 to 2020, this paper conducts an empirical study. The findings show that digital transformation can promote the high-quality development of manufacturing enterprises, that is, improving their total factor productivity and ESG performance at the same time. The mechanism validation shows that the innovation channel and the efficiency channel are the key paths for the digitalization to enable the high-quality development of manufacturing enterprises, and that digital transformation can promote the tilting of resources to high-productivity enterprises and effectively promote the improvement of ESG performance. Further research reveals that a favorable business environment and accelerated marketization can strengthen the positive effects of digitalization on the high-quality development of enterprises. In addition, there are significant structural changes in the impact of digital transformation on the high-quality development of enterprises. Therefore, the manufacturing enterprises should fully utilize digital technology to continuously promote the compound growth of economic performance and ESG performance, and continuously improve the talent training mechanisms. At the same time, the government should consolidate the institutional foundation, create a good business environment, improve the market mechanisms, so as to continuously release the role of digital transformation strategy in empowering the high-quality development of enterprises.. Reference | Related Articles | Metrics | Comments（0） Select Fintech and Bank Vulnerability: From the Perspective of Exogenous Fintech and Internal Digital Transformation LIN Xi, WANG Ren-zeng Journal of Jiangxi University of Finance and Economics    2024, 0 (3): 23-36.   Abstract （59）            Knowledge map    Save Under the background of increasingly severe prevention and control of systemic financial risks, in order to promote the digital transformation process of commercial banks and prevent the outbreak of systemic financial risks, it is of great importance to analyze the relationship between fintech and the vulnerability of banks and to examine whether the fintech can integrate perfectly with commercial banks. This paper makes use of the data of banks and cities from 2012 to 2020 to analyze the impact of external fintech and internal digital transformation of banks on the vulnerability of banks from both the internal and external perspectives. The findings show that exogenous fintech and bank internal digital transformation can significantly reduce the bank vulnerability mainly through improving the deposit and loan structure and the credit quality of banks. The degree of reduction in the vulnerability of rural commercial banks is significantly higher than that of urban commercial banks, and the exogenous fintech can promote bank internal digital transformation through the technology spillover effect. It is further found that the exogenous fintech can reduce the systemic risks of banks, but the marginal effect gradually weakens. And in the early stage of the development of the internal digital transformation of banks, there was no significant inhibitory effect on the systemic risks of banks. With the continuous advancement of the internal digital transformation of banks, its inhibitory effect on the systemic risks of banks gradually emerged and showed an enhanced marginal effect. Therefore, banks should rationally plan the fintech development strategy, fully grasp the opportunities of digital transformation, and guide the benign development of fintech. Reference | Related Articles | Metrics | Comments（0） Select A Review and Outlook on Social Innovation Researches: Based on the Self-Regulation Theory LI Xue-ling, LIU Jing, LIU Yuan Journal of Jiangxi University of Finance and Economics    2024, 0 (3): 37-48.   Abstract （78）            Knowledge map    Save Social entrepreneurship, as an emerging form of entrepreneurship that applies business principles to solve social issues, has become a hot topic in academic research and practical exploration over the past two decades. This form of entrepreneurship has not only attracted widespread participation from the practitioner community but also facilitated the in-depth theoretical research into its complex underlying mechanisms. Despite over twenty years of researches into social entrepreneurship theory, its research themes remain scattered, with numerous theoretical phenomena still awaiting in-depth exploration and elucidation. Given this, there is an urgent need to draw upon established theoretical models, and integrate and expand the existing research, so as to advance the development in the field of social entrepreneurship. In this context, by reviewing the domestic and international literature on social entrepreneurship, this paper summarizes, analyzes and comments the related studies according to the A-CEM-A model in the self-regulation theory. Based on the review of the existing researches, a model of the whole self-regulation process for social entrepreneurs is developed, highlighting the iterative process of dynamic changes and behaviors of social entrepreneurs induced by empathy and sympathy in the dynamic process of social entrepreneurship. Reference | Related Articles | Metrics | Comments（0） Select AI Technology and Human Capital Structure Upgrading: Intrinsic Mechanism and Empirical Test HAN Ying, XU Xue-lu Journal of Jiangxi University of Finance and Economics    2024, 0 (2): 13-26.   Abstract （86）            Knowledge map    Save With the intelligent transformation and upgrading of the traditional production mode by artificial intelligence technology, the production tasks are becoming more and more complicated and specialized, which puts forward new requirementsfor the adaptability of human capital structure. By incorporating the development of artificial intelligence, the upgrading of industrial structure and the upgrading of human capital structure into an organic theoretical analyzing framework, the internal mechanism and regional heterogeneity of the influence of artificial intelligence on the upgrading of human capital structure can be depicted. The empirical studies have concluded that, the development of artificial intelligence can not only directly promote the upgrading of human capital structure, but also play a positive role in the upgrading process of human capital structure by promoting the upgrading of industrial structure. The influence of artificial intelligence development on the advancement of human capital structure has significant regional heterogeneity: the eastern, central and western regions are experiencing a downward cascade, while the positive effect of the development of artificial intelligence in the middle reaches of the Yellow River, the middle reaches of the Yangtze River and the Southwest Comprehensive Economic Zone on the upgrading of human capital structurehas gradually highlighted. The government should speed up the construction of a long-term mechanism for the cultivation of artificial intelligence talents, promote the integrated development of artificial intelligence technology with the real industry, help the transformation and upgrading of industrial structure, and then promote the high-level advancement of human capital structure. At the same time, local governments should adapt to local conditions, orderly promote the development of artificial intelligence, and narrow the gap between regional human capital structures. Reference | Related Articles | Metrics | Comments（0） Select Digital Economy and Labor Income Inequality: Evidences from Smart City Pilot Policy BU Han, GAO Yuan-dong, XUN Zhou Journal of Jiangxi University of Finance and Economics    2024, 0 (2): 27-40.   Abstract （73）            Knowledge map    Save On the basis of a theoretical analysis, this paper takes the smart city pilot polciy as a quasi-natural experiment of China’s digital economy development. Based on the panel data of China’s prefecture-level cities and the A-share listed companies from 2007 to 2020, it studies the impact, mechanism and difference of digital economy development on labor income inequality with the help of a staggered difference-in-difference model. The findings show that the development of digital economy can significantly reduce the inequality of labor income, which is still valid after a series of robustness tests. From the perspective of impacting mechanism, the development of digital economy can reduce the inequality of labor income by improving the urban human capital level and reducing the urban labor productivity difference. The heterogeneity analysis reveals that in the eastern region, the secondary industry, the non-technical intensive industries and the state-owned enterprises, the development of digital economy has a stronger impact on labor income inequality. This research conclusion provides beneficial enlightenment for grasping the development opportunity of digital economy, narrowing the labor income gap, and ensuring the realization of the phased goal of common prosperity. Reference | Related Articles | Metrics | Comments（0）