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Table of Content

    15 February 2025, Volume 44 Issue 1
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    CONTENTS
    2025, 44(1):  2-4. 
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    Current Difficulties and Promotion Strategies of Professionalization of Childcare Services in China
    LIU Zhongy
    2025, 44(1):  5-15.  doi:10.16388/j.cnki.cn42-1843/c.2025.01.001
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    Specialization of childcare services is the process of bringing childcare services into a standardized and regulated development track；it achieves monopoly and control over the quality standards of childcare services through consolidating professional barriers，establishing professional organizations，and strengthening professional discourse. This not only provides a basis for the introduction of market access standards and the management of full process standardization of childcare institutions，but also injects vitality and momentum into the healthy development of childcare services in China in the coming period. Due to various reasons from both the host and the guest，there are many practical difficulties in the professional development of childcare services in China at present，such as low social recognition，weak recognition of effectiveness，insufficient standardization，limited openness，insufficient autonomy，and lack of solid basic knowledge. In order to further promote the professionalization of childcare services，it is necessary to boost the social recognition of the professionalization in childcare services；enhance the recognition of the effectiveness of professionalization in childcare services；properly handle the standards and norms of professionalization in childcare services；promote the professionalization and openness of childcare services；ensure the autonomy of professionalization in childcare services；and consolidate the knowledge foundation of specialized childcare services.
    Reinventing Rights in Change: The Price-changing Logic of High Betrothal Gift and Its Influencing Factors
    ZHANG Zhaohua，ZHOU Ziyue，PANG Jiahu
    2025, 44(1):  16-26.  doi:10.16388/j.cnki.cn42-1843/c.2025.01.002
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    The governance of high betrothal gifts in rural areas is an important part of the civilization construction of rural conventions in rural revitalization. A semi-structured interview is done among rural female in marriage stage which is analyzed in framework of“institutional culture—moral embedding—transaction cost.”This paper proposes that the trend of high betrothal gift is the result of the reshaping of women’s rights in the process of urbanization. New urbanization has expanded marriage circles；in the process，rural women experience two processes in the negotiation of betrothal gifts：the“conflict—passive deembedding”process or the“empowerment—active deembedding process.”Thus it is more likely for them to demand high betrothal gifts. The differentiation of transaction cost in betrothal gift bargains creates three kinds of price-exchanging logic： the consideration of relationship maintenance， women’s anticipation and management of marriage risk，and the active exchange of family rights. Since a bride’s betrothal gift and dowry can be controlled by different parties，the logic of the change of high betrothal gift and dowry is heterogeneous. Based on the above mechanism and logic，the governance of betrothal gift should focus on intergenerational responsibility，disposal of betrothal gift and dowry，and women’s marriage rights.
    Institutional Investor’s Field Research and the Enhancement of Internal Quality Control
    WANG Yanan，CHEN Junjie
    2025, 44(1):  69-82.  doi:10.16388/j.cnki.cn42-1843/c.2025.01.007
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    The A-share listed companies in Shenzhen Stock Exchange from 2012 to 2020 are taken as the research object to test the impact of institutional investors’field research on the internal quality control of enterprises. It is discovered that there is a significant positive correlation between whether there is a field investigation，the number of investigations，the number of participating institutions and the internal quality control of enterprises. The mechanism test reveals that institutional research can improve the internal quality control of enterprises by increasing the analyst attention and the sensitivity of executive compensation and performance of the surveyed enterprises. Based on internal and external heterogeneity analysis，it is found that the higher the bankruptcy risk and the lower the information transparency，the more significant the role of institutional research is in improving the internal quality control；the lower the market competitive position and the lower the marketization degree of the region，the more significant the role of institutional research is in improving the internal quality control. The economic consequences test shows that field research reduces the probability of a firm’s financial restatement in the following year. The research results have theoretical significance for understanding the effect of informal supervision mechanism in capital market，and also practical significance for improving the internal quality control of listed companies，strengthening the quality of information disclosure，and steadily promoting the reform of registration system.
    Multidimensional Drivers and Key Factors of Green Technological Innovation of Enterprise：Evidence Based on Machine Learning
    PENG Ying，ZHANG Ziye
    2025, 44(1):  83-94.  doi:10.16388/j.cnki.cn42-1843/c.2025.01.008
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    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.
    Identification of the Subject of AI Infringement Liability：Taking Autonomous Driving as Example
    ZHANG Jiaji，TIE Yiran，ZHOU Xin
    2025, 44(1):  107-117.  doi:10.16388/j.cnki.cn42-1843/c.2025.01.010
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    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.