Current Issue

2024, Vol. 26 No. 1 Published:28 February 2024

Does Digital Transformation Promote Groundbreaking Innovation of Enterprises?—Based on Empirical Evidence from China’s A-share Listed Companies

LI Hongbing, LI Rouyan, TANG Lian

2024, 26 (1): 1-15. doi：10.19722/j.cnki.1008-7729.2023.0175

Abstract ( 339 )

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Based on the data of segmented patents and digital transformation of A-share listed companies from 2011 to 2021, the quantity and the quality of authorized patents are used to measure the level of groundbreaking innovation of enterprises, and the impact of digital transformation on groundbreaking innovation and its internal mechanism is empirically tested through the instrumental variable method and the time-varying DID (Difference-in-Differences) model. The study reveals that the digital transformation significantly promotes the level of groundbreaking innovation of enterprises, and the effect is more obvious in private enterprises, capital-intensive enterprises, enterprises in southern and coastal areas, high-tech industries and high-competitive industries. The mechanism analysis shows that the enhancement of groundbreaking innovation capability of enterprises is mainly caused by the optimization of the structure of labor force, the increase in R&D intensity and total factor productivity brought about by enterprises’ digital transformation. Further, it is found that smart city pilots promote the digital transformation and the improvement of groundbreaking innovation level of enterprises. Based on the quality of patents, it is found that there is a significant “U-shaped” relationship between digital transformation and groundbreaking innovation quality of enterprises. The above conclusions provide important empirical evidence and policy enlightenment for enterprises to accelerate the digital transformation and obtain groundbreaking innovation.

Impact of Urban Digital Economy on Total Factor Productivity of Manufacturing Enterprises

SUN Xiangxiang, QIU Lingxian

2024, 26 (1): 16-30. doi：10.19722/j.cnki.1008-7729.2023.0163

Abstract ( 171 )

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ased on the data of 283 prefecture-level cities’ digital economy from 2010 to 2020 and 2145 A-share manufacturing listed companies, the effect of the urban digital economy on total factor productivity of manufacturing enterprises is examined. The results show that: (1) Overall, the urban digital economy can significantly improve total factor productivity of manufacturing enterprises; (2) The mechanism research shows that the urban digital economy promotes technological innovation of manufacturing enterprises and alleviates financing constraints, thereby improving total factor productivity; (3) The heterogeneity analysis finds that the urban digital economy has more significant promotion effects on total factor productivity of manufacturing enterprises in the eastern region and large-scale cities, and also of non-state-owned manufacturing enterprises. The research conclusions provide reference for formulating digital economic development strategies and implementing enterprise strategies.

Low-carbon City Pilot Policy and Enterprises’ Attention to Digital Transformation—A Quasi-experimental Study Based on Listed Manufacturing Enterprises in China

WANG Yanyu, CHEN Yihan

2024, 26 (1): 31-47. doi：10.19722/j.cnki.1008-7729.2023.0075

Abstract ( 189 )

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 The CPC Central Committee’s decision to reach peak carbon emissions before 2030 and achieve carbon neutrality before 2060 not only concerns a community with a shared future for mankind, but also, to some extent, adjusts the developing mode of China’s economy in the future. In the process of the great rejuvenation of the Chinese nation, low-carbon economy and digital economy are integrated, and low-carbon transformation and digital transformation complement each other. Therefore, the low-carbon city pilot policy from 2010 is taken as a “quasi-natural experiment”. Based on the micro-data of listed manufacturing enterprises from 2008 to 2020, the multi-time point DID (difference in differences) model is used to explore the influence of the policy on enterprises’ attention to digital transformation and its mechanism. The research shows that the low-carbon city pilot policy significantly improves enterprises’ attention to digital transformation; Enterprises located in pilot low-carbon cities pay 8.5% more attention to digital transformation than those not located in pilot low-carbon cities. This policy increases the attention of enterprises’ digital transformation through two mechanisms: risk at the enterprise level and enterprise output. In the heterogeneity analysis, the influence of this policy on the attention to enterprises’ digital transformation is significantly different among enterprises with different ownership and different ages. This paper provides an important empirical test for China’s listed manufacturing industry that should increase its attention to enterprises’ digital transformation in the low-carbon transformation, provides further research on the digital effect of policy effects, and lays a solid foundation for research on the cross-prospect of low-carbon and digitalization in the future.

Research Hotspots and Evolutionary Trends of Data Crawling Unfair Competition—CiteSpace-based Knowledge Graph Analysis

ZHAO Lili, SUN Hongjiao

2024, 26 (1): 48-58. doi：10.19722/j.cnki.1008-7729.2023.0098

Abstract ( 179 )

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By using CiteSpace software to draw keyword co-occurrence graphs, keyword timeline graphs, and keyword emergent sub-column graphs, a total of 525 papers from 2017—2023 were visualized and analyzed. The analysis found that the research in this field focused on the theoretical research, legal rules, recognition criteria, and legitimacy boundaries of data crawling in the era of digital economy, but there were still problems such as weak relations between subjects and insufficient theoretical research on breadth. The future research should increase the depth, broaden the field and grasp the hotspots based on the current research situation in the academia, focusing on the legitimacy and applicability boundary, legal rules and recognition standards, and influencing factors of data crawling, so as to better balance the boundary between data circulation and data opening and build harmonious and orderly market competition environment.

Administrative Regulations on Copyright Infringement by Web Crawlers

MO Zhangqin, LU Yi

2024, 26 (1): 59-65. doi：10.19722/j.cnki.1008-7729.2023.0142

Abstract ( 155 )

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Web crawler is an emerging Internet technology used to automatically search and crawl the specified network information according to the order, but there is a risk of being abused. Web crawler is a tool of crawling network copyright data information, and copyright infringement by web crawling behaviors happens frequently. At present, regulations for copyright infringement by web crawling behaviors are always found in civil laws and criminal laws, while administrative regulations are ignored. Current administrative regulations for copyright infringement by web crawling behaviors have problems that they rely too much on judicial means, and lack norms and online supervision made by administrative organizations. All these hinder the application and development of administrative regulations for copyright infringement by web crawling behaviors. In this regard, administrative means should be used to restrain copyright infringement by web crawling behaviors and protect the legal interests of copyright owners through building a full-coverage warning system, improving the copyright management, and setting up self-regulatory obligations for web crawler users, etc.

Legal Regulation of Mechanism of Cyber-human Embodied Game Addiction

HUANG Zhuzhi

2024, 26 (1): 66-75. doi：10.19722/j.cnki.1008-7729.2023.0149

Abstract ( 175 )

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After National Press and Publication Administration began to supervise online games, although the department implemented the first administrative punishment for violating the anti-addiction management regulation in 2021, the gap of online games supervision has not been completely filled. From the perspective of the impact of games on survival, entertainment and capital, cyber-human and their cyber behaviors have been completely digitized, and cyber-human’s body and mind have completely left the digital game, only becoming a symbol of capital value added. Although the “Internet Information Service Algorithm Recommendations Management Regulations” has defined “inducing users to indulge in games and over-consume” to a certain extent, the effect of regulation is not obvious. The regulations also face the argument of cyber-human’s free will to choose indulgence, and the difficulty in balancing the huge social value with personal value of online games. The overall regulation has become a trend, so it is advisable to establish a standard for Internet addiction disorder based on the laws, in order to lay a foundation for declaring tort liability for online addiction, and to actively establish a public interest litigation mechanism, improve algorithm administrative ability and detail the supervision models for algorithm.

Impact of Environmental Regulation on Corporate Earnings Management

FU Shiwen, CHEN Zhiqiang

2024, 26 (1): 76-87. doi：10.19722/j.cnki.1008-7729.2023.0086

Abstract ( 211 )

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Based on the data of China’s listed companies with heavy pollution, the impact of environmental regulation on accrual earnings management and real earnings management and its mechanism are studied. Environmental regulation is classified into the types of command-and-control regulation, voluntary regulation, positive incentive regulation and reverse incentive regulation, and the compound effects of different types of environmental regulation on corporate earnings management are explored. The main conclusions are as follows. First, environmental regulation promotes positive accrual earnings management and real earnings management. Second, command-and-control environmental regulation promotes negative accrual earnings management and positive real earnings management. Third, voluntary environmental regulation promotes negative accrual earnings
management and positive real earnings management. Fourth, positive incentive environmental regulation promotes negative accrual earnings management. Fifth, reverse incentive environmental regulation promotes negative accrual earnings management and real earnings management. Sixth, the compound effects of command-and-control environmental regulation and voluntary environmental regulation, command-and-control environmental regulation and reverse incentive environmental regulation, positive incentive environmental regulation and voluntary environmental regulation promote enterprises’ positive accrual earnings management. Seventh, the compound effects of command-and-control environmental regulation and reverse incentive environmental regulation, positive incentive environmental regulation and voluntary environmental regulation, positive incentive environmental regulation and reverse incentive environmental regulation promote enterprises’ positive real earnings management. Eighth, the compound effect of reverse incentive environmental regulation and voluntary environmental regulation promotes enterprises’ negative accrual earnings management and real earnings management.


Knowledge Graph and Evolution Logic of Blockchain Empowering Supervision—Bibliometric Analysis Based on CSSCI (2012—2022)

LI Le, WANG Xueyan, LUO Jiapeng

2024, 26 (1): 88-98. doi：10.19722/j.cnki.1008-7729.2023.0145

Abstract ( 159 )

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In recent years, blockchain empowering supervision has become a hot topic in the field of blockchain research. Existing studies have not systematically and deeply described the panorama of research on blockchain empowering regulation. Based on this, bibliometric method is used to sort out and review the research on blockchain empowering regulation. Relevant literature data of journals in CSSCI in CNKI from 2012 to 2022 was collected, and the knowledge graph was drawn with CiteSpace. The literature was deeply analyzed from the perspectives of publication volume trends, core authors, major research institutions, major cited journals and papers, keywords and mutations, etc. In light of research methods and research perspectives, it is found that existing studies on blockchain empowering supervision mainly cover three themes: feasibility analysis, specific application fields, and method mode, and the frontier and trend are also analyzed.

Influence of Relational Bonds on Purchase Intention from Perspective of Ambivalent Attitude

YUE Xin, HUANG Nan

2024, 26 (1): 99-108. doi：10.19722/j.cnki.1008-7729.2023.0100

Abstract ( 162 )

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Using the stimulus-organism-response (S-O-R) model in relationship marketing and Hovland’s attitude change-persuasion model, a comprehensive conceptual framework which combines three kinds of relational bonds, ambivalent attitudes, purchase intention and types of new product improved attributes is built and tested. Based on 490 valid questionnaires from social networking site, AMOS26.0 and SPSS26.0 are adopted to evaluate the measurement model and the structural model. The empirical results show that the three kinds of relational bonds directly and indirectly affect consumers’ purchase intention through consumers’ final ambivalent attitudes, and the influencing direction and the influencing degree are moderated by consumers’ initial ambivalent attitudes and types of new product improved attributes.

Advancing Rural Revitalization on All Fronts Through a Chinese Path to Modernization—From Perspective of Urban-Rural Integrated Development

SONG Rui

2024, 26 (1): 109-116. doi：10.19722/j.cnki.1008-7729.2023.0166

Abstract ( 308 )

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Advancing rural revitalization on all fronts is an important issue and a difficulty in a Chinese path to modernization, and the answer to rural revitalization must be found in the time-space dialogue of rural-urban relationship. Sorting out the historical changes of rural modernization transformation and analyzing the difficulties of rural modernization behind the urban-rural imbalance are very important for exploring the characteristic solutions of a Chinese path to rural modernization. In the new era and on the new journey, advancing rural revitalization on all fronts through a Chinese path to modernization must adhere to the path of urban-rural integrated development, promote the reform of systems and institutions through systematic thinking, and support rural revitalization at the institutional level; must promote the construction of spiritual civilization with dialectical thinking and enhance the spiritual power of rural revitalization; must promote the upgrading of the governance system with innovative thinking and enhance the organizational vitality of rural revitalization.

New Enlightenment of Marxist Learning Party Construction—Reflection on “Reform Our Study”

MA Jianyong

2024, 26 (1): 117-124. doi：10.19722/j.cnki.1008-7729.2023.0092

Abstract ( 227 )

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Exploring the experience of building a learning-oriented party in “Reform Our Study” based on basic principles, positons and methods of historical materialism is important to the building of a Marxist party with right learning attitudes, advanced ideas and excellent conduct. The enlightenment is mainly that, to build a learning-oriented party, adhering to a practical and realistic learning attitude is the prerequisite and foundation, the combination of theory and practice and applying knowledge into practice is the key hub, problem-oriented and problem-based learning are effective paths, and cultivating historical thinking is the ideological driving force.

 Application of Large Language Models in Automated Construction of Knowledge Graphs for University Subject Domains

TANG Xiaosheng, CHENG Linya, ZHANG Chunhong, ZHU Xinning

2024, 26 (1): 125-136. doi：10.19722/j.cnki.1008-7729.2023.0107

Abstract ( 595 )

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The rapid development of artificial intelligence has promoted the intellectualization in the field of education, and research on the construction of subject knowledge system by using knowledge graphs has emerged. The knowledge system constructed by knowledge graphs can model the correlation among knowledge points and form the course knowledge context, which is helpful for learners to memorize and understand knowledge in a deep level. However, the teaching resources of subject courses are diverse and scattered, and the existing automatic construction methods often use a single data resource with low resource utilization rate, which is difficult to provide guidance for the construction of professional knowledge systems. Moreover, low degree of automation and high cost need different modules to process the unstructured texts and generate the graphs, so reproducibility and portability are weak. Therefore, an optimization process of subject knowledge graph construction is proposed based on the large language model, which highly integrates the advantages of the large language model and the logical correlation of knowledge in various subjects. Specifically, taking the major of communication as an example, the powerful function of a large language model such as ChatGPT is used to design a knowledge system through subject knowledge analysis by using a variety of knowledge sources, so as to automatically extract knowledge entities and knowledge relations based on teaching resources to form a final subject knowledge system, which can also be introduced to other subject fields.