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Impact of Executive Turnover on Risk of Stock Price Crash ZHAO Bao-guo, WANG Kun Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2021, 23 (1): 80-89.   DOI: 10.19722/j.cnki.1008-7729.2020.0255 Abstract （1375）      PDF（pc） （1073KB）（776）       Knowledge map    Save  Taking Chinas A-share listed companies from 2011 to 2017 as research samples, the relationship between executive turnover and the risk of stock price crash is empirically tested. The results show that without distinguishing the turnover type, the executive turnover will reduce the risk of stock price crash, but after distinguishing the turnover type, the normal executive turnover will reduce the risk of stock price crash while the forced turnover will increase the risk of stock price crash. Furthermore, due to the different ways and purposes of executive appointment in state-owned enterprises and private enterprises, the samples are divided into the state-owned enterprise group and the private enterprise group and tested respectively. It is found that private enterprises are still in line with the above conclusions, while the relationship between forced turnover in state-owned enterprises and the risk of stock price crash is not significant. The meaning of listed companies executive turnover is explained to provide investors a new perspective of analysis. This has practical significance to understanding the meaning of executive turnover and reducing the risk of stock price crash. Reference | Related Articles | Metrics

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Influence Mechanism of Different Types of E-commerce Streamer Attributes on Consumers’ Purchase: Based on Grounded Theory and Text Analysis WANG Shengyuan, HE Jianglin Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2022, 24 (2): 104-116.   DOI: 10.19722/j.cnki.1008-7729.2021.0254 Abstract （2405）      PDF（pc） （990KB）（1146）       Knowledge map    Save This paper aims to explore the influence mechanism of different types of e-commerce streamers on consumers’ purchase from interview data and bullet-screen comments. Study 1 studied the interview data through grounded theory, and obtained the attributes of e-commerce streamers affecting consumers’ purchase; Study 2 specified the research of different types of e-commerce streamers’ attributes on consumers’ search and purchase of recommended products through Python data mining and econometric model regression. The results of Study 1 show that streamers’ attributes of charm, interaction, recommendation, display, professionalism and trust affect consumers’ purchase intention; E-commerce streamers’ attributes affect consumers’ internal perception and further consumers’ purchase intention. It is found that streamers’ attributes and content consistency positively regulate the impact of e-commerce streamers’ attributes on consumers’ internal perception. The results of Study 2 show that the attributes of expert streamers to enhance consumers’ purchase intention are charm, interaction, recommendation, display, professionalism and trust; The attributes of star streamers to enhance consumers’ purchase intention are charm and interaction; The attributes of official store streamers to enhance consumers’ purchase intention are interaction, display, recommendation and trust. Reference | Related Articles | Metrics

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Literature Classification and Review of Supply Chain Finance from Perspective of Financing Services LIU Shiqiang, WANG Yana, FENG Ling Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2022, 24 (1): 59-74.   DOI: 10.19722/j.cnki.1008-7729.2021.0194 Abstract （1557）      PDF（pc） （1032KB）（1446）       Knowledge map    Save In order to reveal the current research status and development of SCF-FS (supply chain finance considering financing service), through bibliometric analysis and content analysis methods, over 80 academic papers on SCF-FS mainly published in the last ten years are reviewed. These papers are classified into three categories according to financing service modes, ie, supply chain finance considering external financing, supply chain finance considering internal financing and supply chain finance considering a mixture of financing modes The research characteristics are further elaborated from the aspects of supply chain financing structure, coordination contracts, formulation models and decision variablesBy analysing the literature distribution such as citation numbers and journal rankings, recent papers on SCF-FS are categorised and assessed thoroughly Based on this comprehensive literature review, constructive suggestions on promising SCF-FS research agendas are proposed and discussed Reference | Related Articles | Metrics

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Review of Application of Social Media in Education: from 2007 to 2020 GE Zigang Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2022, 24 (1): 102-112.   DOI: 10.19722/j.cnki.1008-7729.2021.0190 Abstract （898）      PDF（pc） （4228KB）（963）       Knowledge map    Save The literature related to the application of social media in education retrieved from CNKI and Web of Science is reviewed By using CiteSpace, authors, institutions, research hotspots and research trends of the literature are analyzed The results show that foreign researchers pay more attention to this kind of research than domestic ones, and the research is also more active abroad There are some overlaps between the foreign and domestic research hotspots, but most of them are different The overlapping hotspot is mainly on the application of social media in information literacy education. Reference | Related Articles | Metrics

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Algorithmic Discrimination and Its Governance in Era of Artificial Intelligence XIE Yongjiang, YANG Yongxing Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2022, 24 (5): 18-25.   DOI: 10.19722/j.cnki.1008-7729.2022.0055 Abstract （1502）      PDF（pc） （910KB）（671）       Knowledge map    Save  With the rapid development of big data and artificial intelligence technology, algorithms, as one of the core technologies of artificial intelligence are widely used in human society. While promoting the development of the industrial economy and facilitating human life, it also brings serious problems of algorithmic discrimination. Algorithmic discrimination not only infringes the legitimate rights and interests of specific entities, operators’ competitive interests, and people’s basic human rights at the direct level, but also deepens existing prejudice and aggravates the digital gap, which are not conducive to the long-term development of the artificial intelligence industry and need to be regulated urgently. By tracing the causes of algorithmic discrimination, it can be seen that algorithmic discrimination is the result of algorithm developers’ implicit bias embedded in algorithms, data deviation and algorithm black boxes. Algorithmic discrimination is a legal issue in the technical field. Based on referring to the extraterritorial mode, the regulation of algorithmic discrimination needs to adopt multiple means such as law, technology and social norms to achieve the coordinated effect of algorithmic discrimination governance. Reference | Related Articles | Metrics

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Comparative Analysis of Research on E-learning Continuance #br# Learning Intention at Home and Abroad#br# LIU Yong, YING Hao-dong, ZHANG Ai-yang Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2021, 23 (2): 97-106.   DOI: 10.19722/j.cnki.1008-7729.2020.0371 Abstract （1183）      PDF（pc） （3559KB）（806）       Knowledge map    Save Online learners continuance learning intention will largely affect the effectiveness of E-learning. By selecting the literature related to the topic of E-learning continuance intention as samples from the databases of Web of Science (WoS) and Chinese Social Sciences Citation Index (CSSCI), the number of publications, the distribution of research countries/regions, and the distribution of research institutions and core authors are comparatively analyzed. Then, by keyword analysis, research hot spots are comparatively studied from three perspectives, i.e., educational environment and learning scenarios, research methods and theoretical models, research objects and their influencing factors. And, the evolution path is clarified and frontier analysis is conducted. Moreover, by co-citation analysis, e-learning continuance learning intention is elaborated in detail from two aspects of basic theories and models, and research methods. Based on the above research, three enlightenments are obtained: emphasizing intersection and continuation of research, designing research from a flexible and pioneering perspective and expanding to design-based research. Reference | Related Articles | Metrics

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Literature Review on Curriculum Ideological and Political Education Research Based on Knowledge Map WANG Huan, DONG Ying, ZHANG Jing Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2022, 24 (4): 88-98.   DOI: 10.19722/j.cnki.1008-7729.2022.0042 Abstract （1572）      PDF（pc） （6272KB）（1101）       Knowledge map    Save Curriculum ideological and political education is the core of the modern higher education teaching reform In order to better understand the current situation of curriculum ideological and political education research in China, through collecting the relevant literature data included in CSSCI database and CSSCI source journal database in CNKI from 2000 to 2021, CiteSpace is used to draw the knowledge map to analyze the literature from the perspectives of paper published volume trend, core authors, main research institutions, main cited journals and papers, keywords and mutation words Four research themes are identified: the connotation and characteristics of curriculum ideological and political education, the relationship between curriculum ideological and political education and ideological and political courses, the obstacles to the realization of curriculum ideological and political education and the practice path of curriculum ideological and political education The frontier and trend of curriculum ideological and political education research are sorted out, and it also points out that how to give full play to the dominant position of teachers in curriculum ideological and political education, the specific practice of curriculum ideological and political education in professional courses and the construction of the evaluation system will become the focus of this field. Reference | Related Articles | Metrics

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Bond Recommendation Based on User Risk Preference FU Kui, YIN Xiaoyan Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2021, 23 (6): 31-44.   DOI: 10.19722/j.cnki.1008-7729.2021.0054 Abstract （520）      PDF（pc） （1366KB）（400）       Knowledge map    Save  A bond recommendation system based on users risk preference is proposed and designed, and content-based recommendation algorithm is used to obtain users risk preference score through AHP (analytic hierarchy process) and fuzzy comprehensive evaluation method, to evaluate the default risk of bonds by using modified KMV model, to construct the recommendation strategy model of “the same kind is better” according to the risk matching principle, and finally to realize the simulation case analysis and verify the availability and effectiveness of the bond recommendation system. Reference | Related Articles | Metrics

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Can Green Finance Improve Green Total Factor Productivity？ ZENG Ling-ling, YE Tian-tian Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2021, 23 (1): 69-79.   DOI: 10.19722/j.cnki.1008-7729.2020.0103 Abstract （1504）      PDF（pc） （1119KB）（1133）       Knowledge map    Save The theoretical mechanism of green finance affecting green total factor productivity (TFP) is analyzed, and then based on the panel data of 30 provinces and cities in China from 2005 to 2017, green TFP is estimated by using SBM(Slack-based Measure) directional distance function and Global Malmquist-Luenberger (GML) index, and a green financial index system is constructed and the development level of green finance is estimated by using entropy method. Then, the static IV-GMM regression model and mediation effect model are used to systematically investigate the impact of green finance on green TFP and its mechanism. The results show that Chinas green finance is still at a relatively low level of development while green TFP shows the trend of growth, and both of them show great provincial and regional differences. The regression results show that the development of green finance can significantly promote the growth of green TFP in both coastal and inland areas and the whole country, but it plays a greater role in promoting coastal areas. The mediation effect test results show that for the whole country, the mediation effect of industrial structure optimization, energy saving and emission reduction and green technology innovation is significant, while only the mediation effect of energy saving and emission reduction and green technology innovation is significant in coastal and inland areas. Reference | Related Articles | Metrics

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From Involution to Sense of Involution: Affective Turn and Theoretical Analysis#br# —Also on Trend and Governance of Network Negative Emotion WANG Bin Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2022, 24 (1): 33-39.   DOI: 10.19722/j.cnki.1008-7729.2021.0200 Abstract （1130）      PDF（pc） （1509KB）（916）       Knowledge map    Save Since 2020, the word “involution” has changed from a classic academic concept to a popular buzzword, which is used by netizens to express individuals and collectives negative emotions, that is, the sense of involution The sense of involution is compounded by pressure, anxiety, burnout and loss The sense of involution stems from the chaotic development of ICT industry, the complex internal and external environment of todays society and the affective network communication ecology The sense of involution also reflects the internal trend of digital communication of negative emotion, which is mainly manifested in three levels: transience, distortion and decriticism In order to reduce the adverse effects caused by the disorderly spread of negative emotion, emotion governance is needed to promote the modernization of Chinas governance system and capacity. Reference | Related Articles | Metrics

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Digital Transformation of Commercial Bank and Improvement of Financing Efficiency of SMEs WEI Jianguo, WEI Yingjie, SI Xiaohan Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2022, 24 (1): 1-11.   DOI: 10.19722/j.cnki.1008-7729.2021.0197 Abstract （1431）      PDF（pc） （899KB）（940）       Knowledge map    Save Firstly, the theories of credit rationing, information economics and transaction cost are applied to study the influence of digital transformation of commercial banks on financing efficiency of SMEs (small and medium-sized enterprises) Then, selecting 357 SMEs listed on NEEQ as the research objects, DEA (data envelopment analysis) method is used to measure financing efficiency of transaction and allocation stages in the financing process, and a coupling synergy model is used to measure comprehensive efficiency of the whole financing process The panel regression model is constructed for empirical analysis The results show that digital transformation of commercial banks has significantly positive effects on SMEs transaction and allocation efficiency, as well as comprehensive efficiency, but the effect has a certain lag The positive influence also presents heterogeneity, which is more obvious in non-state-owned SMEs and manufacturing SMEs Finally, countermeasures are proposed to promote digital transformation of commercial banks and improve the financing efficiency of SMEs, including strengthening top-level design and creating distinctive core competitiveness, optimizing the information environment and releasing digital credit value, adjusting the organizational structure and smoothing the internal linkage mechanism, reshaping customer relationships and realizing digital value output, etc Reference | Related Articles | Metrics

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Application of Artificial Intelligence in Field of Legal Judgment WANG Yi-wei Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2021, 23 (1): 20-27.   DOI: 10.19722/j.cnki.1008-7729.2020.0310 Abstract （1095）      PDF（pc） （1001KB）（526）       Knowledge map    Save In the research of artificial intelligence, the application of legal judgment is a topic with a relatively long history. In the early days, scholars from all over the world studied the deductive reasoning judgment of laws and cases based on the knowledge representation learning model. With the rise of the machine learning model, the optimization of the algorithm model based on “classification problem” has become the mainstream. The application and development of artificial intelligence in legal judgment will undoubtedly reduce the “rule of man” part of the application of the law and improve judicial efficiency, but with the current technical level, it is far from being able to completely replace the function of human beings in the field of legal judgment. Based on the research of various countries and combined with national conditions, China should sort out the shortcomings of the current research and promote the development of artificial intelligence in the field of legal judgment. Reference | Related Articles | Metrics

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Empirical Research on Impact of Financial Literacy on Household Risk Assets Allocation#br# DU Wei-an, XIONG Tong Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2021, 23 (2): 36-44.   DOI: 10.19722/j.cnki.1008-7729.2020.0277 Abstract （881）      PDF（pc） （986KB）（1233）       Knowledge map    Save   Using the data of China Household Financial Survey in 2017, the effect of financial literacy on household risk assets allocation is investigated from two aspects: primary financial literacy and advanced financial literacy. The primary financial literacy and the advanced financial literacy variables are constructed by factor analysis method, and then empirical research is made by constructing Probit and Tobit models. It is found that families with high financial literacy are more likely to participate in the financial market and increase their risky assets holding. After controlling endogeneity, the influence of primary financial literacy on household risk assets allocation is stronger than that of advanced financial literacy. The age of the householder, income level, social insurance and regional economic level can promote household risk assets investment, while householder risk aversion has the opposite effect. This paper believes that improving financial literacy of Chinese residents, especially primary financial literacy, is conducive to promoting the active and healthy development of the financial market and improving the financial well-being of residents. It is an indispensable link in the implementation of inclusive financial services. Reference | Related Articles | Metrics

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Influence of Dual-class Share Structure on Company Performance —Empirical Study Based on China Concepts Stocks Listed in the US HU Guohui, ZHAO Yiming Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2021, 23 (5): 54-62.   DOI: 10.19722/j.cnki.1008-7729.2021.0122 Abstract （1760）      PDF（pc） （1080KB）（590）       Knowledge map    Save The China concepts stocks listed in the United States are taken as a sample to compare the impact of different ownership structures on company performance. It is found that companies with dual-class share structures are mainly concentrated in the four industries of software and services, diversified finance, retail, and consumer service II, because most of companies in the four industries are technological innovation companies. In the four industries, the adoption of dual-class structures has shown a positive impact on the growth of company performance, and the growth of the founders’ rights of control also has a positive impact on company performance. Therefore, the dual-class share structures are beneficial to both companies’ founders and external shareholders. Reference | Related Articles | Metrics

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Textual Quantitative Study Based on 34 National-level Artificial Intelligence Industrial Policies MA Xiaofei, BAI Xuesong Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2021, 23 (5): 19-30.   DOI: 10.19722/j.cnki.1008-7729.2021.0166 Abstract （1896）      PDF（pc） （1175KB）（790）       Knowledge map    Save At present, China has passed the first stage of the “three-step” strategy of artificial intelligence. Entering the high-end link of the global value chain is the main task in the next stage. Accelerating the development of artificial intelligence has reached a consensus not only in China but also in other countries. This study adopts the method of quantitative content analysis of policy literature, and takes 34 national policies closely related to the artificial intelligence industry issued from 2012 to 2020 as the analysis basis. Based on the time when the State Council issued the Development Planning for a New Generation of Artificial Intelligence, two stages are divided to explore the use and distribution of policy tools at the national level and the application changes in the artificial intelligence industry chain. The results show that: (1) Since the promulgation of the Development Planning for a New Generation of Artificial Intelligence, the number of government documents and the frequency of using policy tools are higher than those in the previous stage. There are more and more joint documents issued by departments, and the policy theme develops from macro level to subtle level; (2) The use of policy tools in the two stages is less and less from supply type to environment type to demand type. Moreover, the frequency of the use of environment and demand-oriented policy tools decreased compared with the previous stage; (3) The policies of the two stages involve all levels of the artificial intelligence  industry chain, but the focus is shifted from the basic layer to the application layer. Finally, some policy suggestions are put forward for the above problems, hoping to provide thoughts and inspiration for the development of artificial intelligence industry in the next stage. Reference | Related Articles | Metrics

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Digital Dilemma for the Aged in China from Perspective of Knowledge Gap Theory HUANG Chuanwu, DENG Fengfeng Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2022, 24 (1): 40-46.   DOI: 10.19722/j.cnki.1008-7729.2021.0222 Abstract （1130）      PDF（pc） （826KB）（682）       Knowledge map    Save The “information gap” faced by the aged in the digital era has become particularly prominent during the epidemic in 2020, and even affected the normal life of the aged, especially the aged in rural areas How to deal with the digital dilemma of the aged in the post-epidemic era and improve their digital life has become an important social issue that the Chinese government and all circles must pay attention to Under this special background and based on the analysis of the current situation of the digital survival of the aged in China, this paper focuses on the main measures to deal with this problem from the fields of government, enterprises, families and society, as well as the possible ways to improve in order to provide useful enlightenment for the practice of coping with the digital dilemma of the aged in China Reference | Related Articles | Metrics

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Practice and Thinking on Construction Mechanism of Tutor Team under New Situation SUN Hongxiang, HU Donghua, XU Tianling Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2021, 23 (5): 82-88.   DOI: 10.19722/j.cnki.1008-7729.2021.0152 Abstract （1384）      PDF（pc） （929KB）（384）       Knowledge map    Save Tutor is the key force and also the first person liable of postgraduate training in China. Under the new situation, it is necessary to strengthen the construction of postgraduate tutor team to train high-level talents. According to the education requirements put forward by The 18th National Congress of the Communist Party of China, the current situation and problems of the tutor team are sorted out. Taking “foster character and civic virtue” being the basic task of education as a starting point, this paper explores the construction of “ethics first” post selection assessment mechanism, training communication mechanism of “classification”, teacher-centered scientific research and education mechanism, “two integration” management mechanism and tries to construct tutor team system which takes “foster character and civic virtue” as the primary responsibility. Strengthen tutors’ consciousness of education, and improve the incentive and restraint mechanism and stimulate the endogenous power of tutors to cultivate high-level talents. Reference | Related Articles | Metrics

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Path Exploration of “Four Optimizations, Four Systems and Four Fusions”for Nurturing Top-notch Innovative Talent —Taking Experimental Class on Innovation and Entrepreneurship at Beijing University  DING Dan Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2022, 24 (6): 100-108.   DOI: 10.19722/j.cnki.1008-7729.2022.0113 Abstract （300）      PDF（pc） （939KB）（301）       Knowledge map    Save In order to respond to the call of building an innovative country and cultivating top-notch innovative talents, Beijing University of Posts and Telecommunications (BUPT), relying on the Experimental Class on Innovation and Entrepreneurship, has carried out in-depth theoretical exploration and practice of top-notch innovative talents cultivation with the core of “Four Optimizations, Four Systems and Four Fusions”, and elaborated the strategies and measures of cultivating top-notch innovative talents from the aspects of teaching reform, operation and management and cultivation path. It also summarizes the experience of top-notch innovative talents cultivation from the perspective of demonstration results of reform, providing reference and further research ideas for the top-notch innovative talents cultivation. Reference | Related Articles | Metrics

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Can Digital Finance Promote High-quality Economic Development—Based on Perspective of Financial Functions WANG Renxiang, LI Yingjie, XIE Wenjun Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2022, 24 (2): 12-23.   DOI: 10.19722/j.cnki.1008-7729.2021.0201 Abstract （724）      PDF（pc） （941KB）（577）       Knowledge map    Save In order to promote the high-quality development of China’s economy, the impact of digital finance on the high-quality economic development is theoretically analyzed based on the perspective of financial functions, and the 2011—2018 provincial panel data is used to empirically test the hypotheses of the theoretical analysis. The empirical results show that digital finance can promote high-quality economic development by improving financial availability and resource allocation efficiency. In the heterogeneity test, it is found that targeted digital financial supervision can enhance the promotion effect; in addition, the promotion effect will be affected by regional heterogeneity. The promotion effect in the central region is greater than that in the west, and the least is the east. Therefore, in order to promote the high-quality development of China’s economy, it is necessary to strengthen targeted financial supervision and prevent systemic financial risks while accelerating the development of digital finance. Reference | Related Articles | Metrics

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Innovation Factor Flow and Regional Innovation Capability —Based on Regulatory Role of Government and Market #br# TAO Lianghu, ZHENG Xuan, WANG Gege Journal of Beijing University of Posts and Telecommunications(Social Sciences Edition)    2021, 23 (6): 91-102.   DOI: 10.19722/j.cnki.1008-7729.2021.0165 Abstract （631）      PDF（pc） （942KB）（630）       Knowledge map    Save Based on the panel data of 31 provinces except Hong Kong, Macao and Taiwan from 2004 to 2018, the index of innovation factor flow is constructed based on the gravity model, and the spatial error model and the panel threshold regression model are used to empirically analyze the relationship between innovation factor flow and regional innovation capability, and regulatory role and best interval of government intervention?and marketization are further discussed. The results show that: (1) innovation factor flow has a significantly positive impact on regional innovation capacity of the inflow areas; (2) Both government intervention and marketization significantly promote innovation factor flow to exert its innovation effect, and the regulatory ability of government intervention is stronger than that of marketization; (3) the single threshold value exists in the regulatory role of government intervention on innovation factors, when the government intervention degree is higher than the threshold value, the role will be weakened or even insignificant, and the single threshold effect only exists in the regulatory role of marketization on R&D capital flows, that is, when the marketization degree is higher than the threshold value, the regulatory role is significant. Reference | Related Articles | Metrics