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The Generative Logic and Governance Path of NIMBY Syndrome of Senior Nursing Institutions Embedded in Communities WEI Zhihui，ZI Xianbo JIANGHAN ACADEMIC    2024, 43 (6): 94-104.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.06.009 Abstract （800）      PDF（pc） （1425KB）（3119）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Digital Immortality and Ethical Considerations of the Technological Illusion of“Resurrecting”the Dead by AI ZHANG Aijun，JIANG Yu JIANGHAN ACADEMIC    2024, 43 (5): 63-71.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.05.007 Abstract （610）      PDF（pc） （1321KB）（305）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Research Status，Hot Spots and Frontiers of Global Study of Law on Big Data WANG Qiqi JIANGHAN ACADEMIC    2023, 42 (5): 24-32.   DOI: 10.16388/j.cnki.cn42-1843/c.2023.05.003 Abstract （557）      PDF（pc） （1575KB）（1232）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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How the Court’s President-Presiding Judge Review System Avoids Periodic Problems in Trial Supervision and Administration HAO Shikun，GUO Shasha JIANGHAN ACADEMIC    2024, 43 (4): 66-76.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.04.007 Abstract （534）      PDF（pc） （1281KB）（621）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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An International Comparative Study of Fertility and Population Policy LUO Mengfan JIANGHAN ACADEMIC    2024, 43 (3): 26-34.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.03.003 Abstract （455）      PDF（pc） （1544KB）（407）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Identification of the Subject of AI Infringement Liability：Taking Autonomous Driving as Example ZHANG Jiaji，TIE Yiran，ZHOU Xin JIANGHAN ACADEMIC    2025, 44 (1): 107-117.   DOI: 10.16388/j.cnki.cn42-1843/c.2025.01.010 Abstract （440）      PDF（pc） （1422KB）（831）       Knowledge map    Save Whether artificial intelligence（AI）can enjoy the status of legal subject is the root of solving the realistic problem of ascribing the subject of liability for AI tort liability. From the angle of legal philosophy， the paper creatively constructs the hierarchical standard system of a legal subject and its contingent conditions，and then puts forward the hierarchical judgment system of entrusting the legal subject status. From the abstract to the concrete，the problem of ascribing the subject of liability for AI tort liability is studied by using this system as the judgment standard. Since weak artificial intelligence cannot become a legal subject，the idea of legal status representative is put forward on the basis of the compulsory insurance mechanism of the production side. Strong artificial intelligence，according to the different sources of its self-consciousness，is divided into“machine ethics”and“human emotion.”The former cannot become a legal subject，but the human-designed“machine ethics”can effectively reduce the probability of damaging events，and therefore，the idea of legal status representative still works；the latter should not become a legal subject，for otherwise，it will not satisfy the value judgment，or even relevant discussion will be meaningless. Under the premise that artificial intelligence is not regarded as a legal subject，and based on China’s current law and motor vehicle liability insurance mechanism，the ascription of the subject of liability for AI tort liability is clearly defined from theory to practice，drawing on foreign legislative experience and cases. It helps to improve the scheme of ascribing the subject of liability for AI tort liability in the field of automatic driving with Chinese characteristics. Related Articles | Metrics | Comments（0）

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Hot Spots and Prospects of Fertility Support Policy Research in China：A Visual Econometric Analysis Based on CNKI Database Literature（2013-2023） HE Wei，MA Yan JIANGHAN ACADEMIC    2024, 43 (4): 46-57.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.04.005 Abstract （422）      PDF（pc） （2235KB）（340）       Knowledge map    Save Under the new background of population policy changes，how to play the role of fertility support policy and increase fertility rate have become an important issue in the fields of population and public policy in China. Using the academic publications in CNKI database from 2013 to 2023 as samples，the CiteSpace visualized econometric analysis software is used to analyze the knowledge map，characteristics，and future research trends of researches on China’s fertility support policies. The results show that the research hot spots of fertility support policy mainly focus on fertility intention，the theory and experience of fertility support，and related public policies. The evolution of fertility policy from 2013 to 2023 can be divided into two phases：The first phase，from 2013 to 2020，is the initial stage，and the second phase，from 2021 to 2023，is the rapid heating-up stage. In the future，China should build a cultural atmosphere to encourage fertility，establish a fertility support policy system to full cover the growth cycle of birth，breeding and raising，improve the economic subsidy system，and improve the infant care service system for 0—3 years old，so as to realize a long-term balanced development of China’s population. Related Articles | Metrics | Comments（0）

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Actualization of Mimicry Environment：From the Butterfly Dream to the Brain in the Van to Metaverse HAN Bo JIANGHAN ACADEMIC    2023, 42 (5): 5-14.   DOI: 10.16388/j.cnki.cn42-1843/c.20230512.001 Abstract （403）      PDF（pc） （1236KB）（864）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Paradox of“Hu Huanyong Line”from the Perspective of Population Spatial Distribution CHENG Qianchang JIANGHAN ACADEMIC    2024, 43 (2): 69-82.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.02.007 Abstract （395）      PDF（pc） （1298KB）（1188）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Generative Artificial Intelligence and Copyright Law：Legal Challenges and Prospects LI Yilin JIANGHAN ACADEMIC    2024, 43 (6): 5-15.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.06.001 Abstract （390）      PDF（pc） （1374KB）（1237）       Knowledge map    Save Based on the learning of existing works，generative AI greatly reduces the cost of human creation.While existing laws can answer most of the copyright-related questions posed by generative AI，the answers may not match the expectations of creators affected by generative AI. In particular，judgments on the principle of fair use are different in courts and legal cases of different countries. In addition to the learning phase of a generative AI，the output it produces may also be copyrighted. Since the relationship between AI generated works and human authors is complex and the digital content is globally distributed，copyright rules related to generative AI need to be updated at the national and international levels，rather than relying solely on judicial precedents for clarification. Related Articles | Metrics | Comments（0）

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“Three Rises”and Three Directions of the Modernity of Theory on Misty Poetry XU Yongning JIANGHAN ACADEMIC    2024, 43 (1): 83-90.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.01.008 Abstract （367）      PDF（pc） （1281KB）（794）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Multidimensional Drivers and Key Factors of Green Technological Innovation of Enterprise：Evidence Based on Machine Learning PENG Ying，ZHANG Ziye JIANGHAN ACADEMIC    2025, 44 (1): 83-94.   DOI: 10.16388/j.cnki.cn42-1843/c.2025.01.008 Abstract （356）      PDF（pc） （1607KB）（592）       Knowledge map    Save Green technological innovation is key to the green and low-carbon development，which takes into account both economic and environmental benefits. Heavy polluting A-share listed enterprises from 2011 to 2020 are sampled；the capacity of different multi-dimensional green technological innovation motivations in predicting green technology innovation behavior is explored by using the parametric method， non-parametric method，and ensemble learning method in machine learning. The purpose is to identify the main motivation affecting enterprises to carry out green technology innovation and identify features of the most predictive quality. The results show that compared with the digital development motivation and the internal governance motivation，the external supervision motivation is the main driver for the green technology innovation behavior of enterprises；the ability of ensemble learning method to predict green technology innovation behavior is better than that of parametric and non-parametric research methods，and the support vector machine has the strongest interpretation ability and the highest prediction accuracy；and among the multi-dimensional motivation features，digital finance，corporate social responsibility，and government environmental protection subsidies have the best predictive effect on green technology innovation behavior. Applying the machine learning method can effectively identify the key factors of green technology innovation in enterprises，and is enlightening for the sustainable development of enterprises and the construction of ecological civilization. Related Articles | Metrics | Comments（0）

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Definition，Characteristics，and Development of Digital Linguistics WANG Li，WANG Chunhui JIANGHAN ACADEMIC    2024, 43 (6): 28-36.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.06.003 Abstract （319）      PDF（pc） （1373KB）（342）       Knowledge map    Save Digital linguistics is a new subject which studies the application and development of language in digital environment. Different from computational linguistics，digital linguistics has a broader research horizon.Its core goal，not only limited to the use of computational means to solve specific language processing tasks，focuses on the comprehensive collection，systematic management，fine analysis，and visual presentation of language data；it pays attention to the industrialization of research results，and is closely related to digital people. China has made initial progress in the field of digital linguistics research，yet，it can further develop infrastructure construction，the construction of disciplinary and educational systems，and the industrialization of research results. In the future，digital linguistics will show its unique value in more application scenarios including language education，public service，and business. Related Articles | Metrics | Comments（0）

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Formation Mechanism and Social Influence of Youth’s Disconnection with Relatives XU Jiaming，XU Ting JIANGHAN ACADEMIC    2025, 44 (1): 27-37.   DOI: 10.16388/j.cnki.cn42-1843/c.2025.01.003 Abstract （298）      PDF（pc） （1528KB）（590）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Married Population’s Concept of Gender Role and Its Influencing Factors：From the Perspective of Society & Family HU Shuzhi ，LEI Yaoyao JIANGHAN ACADEMIC    2023, 42 (5): 81-88.   DOI: 10.16388/j.cnki.cn42-1843/c.2023.05.009 Abstract （292）      PDF（pc） （1403KB）（548）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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The Evolution，Practical Inspiration，and China’s Plan of Family-friendly Policy：From the Perspective of Production and Reproduction LI Zhengdong，ZHANG Bei JIANGHAN ACADEMIC    2024, 43 (1): 5-16.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.01.001 Abstract （280）      PDF（pc） （1308KB）（669）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Current Status of Rural Family’s Language Competence and Countermeasures from the Perspective of Rural Revitalization ZENG Dan，JI Hui JIANGHAN ACADEMIC    2023, 42 (3): 121-128.   DOI: 10.16388/j.cnki.cn42-1843/c.2023.03.013 Abstract （274）      PDF（pc） （2058KB）（152）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Construction of China’s AI Law Theoretical System in the Era of Foundation Model YANG Yanchao JIANGHAN ACADEMIC    2024, 43 (1): 45-57.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.01.005 Abstract （268）      PDF（pc） （1382KB）（483）       Knowledge map    Save In the era of foundation model，artificial intelligence law and its theoretical system have developed rapidly and gradually formed a unique branch of discipline. The emerging artificial intelligence law not only reconstructs the traditional legal research object，but also brings about innovative research methods，putting forward a different concept of justice. The formation and development of these theories are inseparable from the emergence of large-scale AI models（such as ChatGPT），which have played a huge role in promoting the updating of theories and promoting the overall improvement of rule of law practice. In the process of building its own AI legal theory system，China has benefited from the existing legal theory foundation and the vigorous development of AI industry. However，the uneven research levels and the barriers between disciplines have become a difficult problem in the construction. Future work needs to focus on the construction of basic concepts，frameworks，and a multi-dimensional，dynamic，and evolutionary theory system. Technological progress will continue to promote the evolution of legal theory.The transition from weak AI to strong AI brings in challenges as well as opportunities for the development of legal theory. In this process，it is essential to ensure human values，rights，and security. Building a legal theory system for AI requires avoiding potentially malicious applications of the technology while guiding it toward the good. This is not only an academic effort，but also a social reshaping of new concepts and practices of law. This work involves multidisciplinary collaboration，requires the formation of a global consensus and the update of practices，which will have a long-term impact on the future of the rule of law and the improvement of legal systems. Related Articles | Metrics | Comments（0）

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Hotspots and Evolution Trend of Intergenerational Care in China under Birth Policy Adjustment CHANG Yaqing JIANGHAN ACADEMIC    2024, 43 (6): 105-115.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.06.010 Abstract （265）      PDF（pc） （1873KB）（443）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Debt Risk Measurement，Regional Disparity，and Distribution Dynamics of China’s Local Governments LI Cheng ，ZHAO Qianqi JIANGHAN ACADEMIC    2023, 42 (6): 43-55.   DOI: 10.16388/j.cnki.cn42-1843/c.2023.06.004 Abstract （264）      PDF（pc） （2517KB）（972）       Knowledge map    Save By the no-arbitrage approach，the default probabilities of China’s 31 provinces in the 2015—2020 period are calculated based on the credit spreads and bond rates of the local government bonds. By the Dagum Gini coefficient and its decomposition method and the kernel density estimation method，the regional disparities of local governments’debt risks are empirically analyzed. The results are as follows：in the designated period，the overall local governments’debt risks present an inverted U shape trend，with the regional debt risk gap gradually narrowing；the source of the regional disparity of local governments’debt risks is the cross and overlap of regional debt risks；and that the debt risk gap among provinces in the eastern region fluctuates the most，the gap in the central region gradually narrows，and the gap in the western region remains basically unchanged. The findings reflect not only the effects of fiscal decentralization，official promotion incentives，urbanization，soft budget constraints，land finance and taxation，but also the influence of regional coordination and factor flow；they also disclose the large interregional risk spillover effect and the irrational pricing and allocation of bonds. In terms of policy，from the perspective of domestic great circulation，attention should be paid to the characteristics of debt risk gap within and between different regions， the market-oriented pricing of government bonds should be promoted， the allocation of debt quotas for less developed regions should be increased， and the collaborative governance between different regions should be strengthened. Related Articles | Metrics | Comments（0）