Current Issue

2020, Vol. 22 No. 1 Published:28 February 2020

Content Detection Based on Knowledge Relation: Cases of Health Rumors

HUANG Miao, HUANG Pei

2020, 22 (1): 1-6. doi：10.19722/j.cnki.1008-7729.2019.0369

Abstract ( 8378 ) PDF (0 KB)( 23137 )

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Ubiquitous informatization in the society enables the Internet to be the most efficient access for acquiring knowledge However, with the decrease of barriers for releasing and distributing information, frequent occurrence of rumors has become a social problem Moreover, health topics are closely related to individuals lives, so they are the worst-hit area of rumors Based on content analysis of rumors in WeChat and Toutiaocom, the research question of how to detect rumors through the characteristics of knowledge relation is proposed In order to explore and present the knowledge relation, a social networking analysis tool was adopted to visualize the cluster of high frequency words of weight-loss rumors that were refined from the rumor base at Bytedance With the analysis through visualization, it is found that the co-occurrence relation is better than the similarity relation at discovering common phrases and popular topics of knowledge-based rumors Lastly, in a normative perspective, a mechanism for detecting newborn rumors is constructed, which should integrate technologies of knowledge graph and labeling

Calm Thinking behind Explosion of “Internet-famous Tourist Destinations”

PANG Lin-yuan

2020, 22 (1): 7-13. doi：10.19722/j.cnki.1008-7729.2019.0375

Abstract ( 4576 ) PDF (0 KB)( 14267 )

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Nowadays, with the profound impact of Internet on peoples life, Internet-famous tourist destination is no longer a new word In recent years, some scenic spots or tourist destinations relying on short videos or other social platforms have gained huge traffic on the Internet The continuous popularity of scenic spots has brought huge economic benefits to the local area, but the problems exposed by the popularity of Internet-famous tourist destinations have also brought new challenges to social governance From the perspectives of Internet-famous setting creation, fission communication, the role of network opinion leader, and based on the analysis of the formation mechanism and communication path of Internet-famous tourist destinations, some reasonable measures are put forward to regulate and guide the development of Internet-famous tourist destinations

Dynamic Adjustment Mechanism for Spectrum Resource Allocation in China

DU Zhen-hua, ZHOU Shu

2020, 22 (1): 14-19. doi：10.19722/j.cnki.1008-7729.2019.0360

Abstract ( 127 ) PDF (0 KB)( 3632 )

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Starting from the characteristics of spectrum resources, it is pointed out that the seriously scarce spectrum resources are one of the main bottlenecks of 5G development and application To solve this problem, the existing allocation of spectrum resources must be improved The original allocation system of spectrum resources in China has resulted in the coexistence of shortage and excess Only by establishing the dual dynamic adjustment mechanism of government and market, can the allocation process of spectrum resources be optimized through Pareto improvement

Incentive Mechanism Design for B2B Platform under Dual Reputation

YANG Qi-feng, GAO Ya-ting, SONG Ping

2020, 22 (1): 20-29. doi：10.19722/j.cnki.1008-7729.2019.0197

Abstract ( 91 ) PDF (0 KB)( 3628 )

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The market reputation cannot achieve long-term incentives for the B2B platform In order to suppress the long-term moral hazard of the B2B platform, a two-stage principal-agent model that introduces market reputation and internal reputation is constructed. The inverse induction method is used to solve the incentive effect of the dual reputation under the two-phase cooperation, and the impact of internal reputation on the incentive contract is also compared and analyzed It is found that market reputation can only suppress the short-term moral hazard of B2B platform, while internal reputation can inhibit the short-term and long-term moral hazard of B2B platform, but its short-term incentive effect is worse than that of market reputation; the incentive mechanism under dual reputation can solve the problem that market reputation cannot realize the long-term incentives and can make up for the shortcomings of short-term incentives for internal reputation Therefore, the incentive mechanism based on dual reputation is more reasonable and effective for banks

Evaluation on Input Efficiency of Cross-border E-commerce Production Factor

ZHANG Xia-heng1,2

2020, 22 (1): 30-35. doi：10.19722/j.cnki.1008-7729.2019.0341

Abstract ( 90 ) PDF (0 KB)( 3656 )

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The development of cross-border e-commerce has gradually matured, and what is the input efficiency of its production factors? On the basis of the research hypothesis, the evaluation index system and the multiple linear regression model are constructed, and the empirical analysis is carried out Empirical analysis shows that the number of e-commerce enterprises and express revenue is significantly positively correlated with cross-border e-commerce, while labor input is significantly negatively correlated The asset investment, Internet penetration and the number of Internet users are not significantly correlated with cross-border e-commerce It can be seen that in the current cross-border e-commerce activities, there is a “crowded” state of production factors, and the excessive input of production factors makes the production efficiency not reach the best state, especially shown in the elements of capital input and labor input The number of enterprises is positively correlated with the growth of the cross-border e-commerce industry, while the basic elements of the Internet have little to do with the growth of the industry Therefore, we should cultivate high-quality cross-border e-commerce professionals, optimize the capital structure, improve the growth environment of the enterprises, and promote the development of the cross-border e-commerce industry

Impacts of Industrial Structure Change on Labor Income Share in Middle-income Stage

PENG Ding-yun, ZHENG Zi-hao

2020, 22 (1): 36-43. doi：1019722/jcnki1008-772920190219

Abstract ( 82 ) PDF (0 KB)( 1067 )

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Taking middle-income stage as the time background, the panel data of 29 provincial administrative units in China from 1998 to 2017 is used to empirically study the impacts of industrial structure change on labor income share and regional heterogeneity, and the systematic GMM two-step method is used to test the robustness of the model The results show that industrial structure change has a significant positive impact on the share of labor income, and the influencing degree in eastern area is larger than that in middle and western areas; the increase of the proportion of the primary industry and the tertiary industry has a significant promoting effect on the share of labor income, while the proportion of the secondary industry has a significant negative effect on the share of labor income, and the influencing degree is the largest among the three industries In general, in order to increase the share of labor income, the increase of the proportion of tertiary industry should be promoted, the combination of primary industry and technology should be ensured, and the transformation of labor structure should be accelerated At the same time, the actual level of Chinas economic development and the differences among different regions should also be considered to improve the efficiency of the use of resources and various elements

Green Closed-loop Supply Chain with Dual Recycling Channels #br# Considering Government Subsidy under Uncertainty

GUO Jian-quan, Wang Zhen

2020, 22 (1): 44-52. doi：10.19722/j.cnki.1008-7729.2019.0383

Abstract ( 577 ) PDF (0 KB)( 105 )

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 Under the environment of uncertain market demand and recycling quality, a total cost model of a green closed-loop supply chain system with dual recycling channels considering government subsidies was constructed In order to solve the model, the fuzzy chance constrained programming method was used to solve the problem of uncertain demand and recovery quality, and the particle swarm algorithm and genetic algorithm were used to compare and solve the model The results show that: (1) the cost of the company varies under different combinations of demand and recycling quality; (2) the comparison of the two recycling channel subsidies finds that the manufacturers subsidy is dominant; (3) under the government subsidy, the appropriate level of the companys procurement of green raw materials is 03 to 06; (4) in order to effectively improve the recovery rate, the appropriate quality level for the government to implement secondary subsidy for recycled products is 037 to 043

Load Forecasting for Cloud Computing Resource Based #br# on BPNN-LSTM Composite Model

CHEN Dong-lin, LIN Wen-jian, HUANG Li-li

2020, 22 (1): 53-60. doi：10.19722/j.cnki.1008-7729.2019.0254

Abstract ( 91 ) PDF (0 KB)( 105 )

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 Effective load forecasting is of great significance to improving the utilization efficiency of cloud computing resources, reducing the energy consumption of cloud computing centers and reducing operation, and maintenance costs of cloud service providers Aiming to the problem of low accuracy of cloud computing resource load forecasting and inaccurate grasp of the time series characteristics of historical data, a combined forecasting model of BPNN_LSTM with time series factors is proposed Considering the date and time factors, which have significant influence on cloud computing resource load, LSTM is used to correct the residual of BPNN Compared with other prediction models, the proposed model has higher accuracy and stability in cloud computing resource load forecasting

From Innovation in Theory to Breakthough to Method: Review of Experimental Studies on Language and Visual Accounting Information Disclosure

GAO Jin-ping, LI Shuang-cheng, WAN Yan

2020, 22 (1): 61-68. doi：10.19722/j.cnki.1008-7729.2019.0356

Abstract ( 82 ) PDF (0 KB)( 139 )

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The increasing amount of language and visual information in accounting information has attracted much attention at present However, its characteristics of being difficult to quantify and irrational make the traditional empirical research method of financial data get into trouble in the research of language and visual accounting information disclosure, which makes experimental research become a hot topic in this field On the basis of summarizing the basic theories of experimental research on accounting information disclosure, the advantages and disadvantages of various research methods from the two dimensions of behavioral experiment and cognitive neuroscience experiment are compared, and the key areas and relevant literatures of various experimental methods in the research on language and visual accounting information disclosure are sorted out Finally, the deficiencies of experimental research in the field of language and visual accounting information disclosure are analyzed and suggestions for future development are put forward

Influence of Contradictory Online Comments on Movie Box Office Revenue

SHI Wen-hua, LI Xuan, MENG Fan-rong, AN Meng

2020, 22 (1): 69-76. doi：10.19722/j.cnki.1008-7729.2019.0368

Abstract ( 88 ) PDF (0 KB)( 94 )

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The purpose of this paper is to find out new characteristics of online comments on box office revenue based on the past research on original contradictory comments and online comments on movies, focusing on the contradictory comments on movies First, based on the research results of previous scholars, a comprehensive model of the impact of online comments on box office revenue was constructed Then, online reviews of different movies were crawled from “Douban movie” website, and SPSS linear regression was used to analyze the impact of the number of online comments, comment length, score variance and contradictory comments on box office revenue The study found that the number of online comments and contradictory comments had a significantly positive impact on box office revenue The length of online comments and score variance did not have a significantly positive impact on box office revenue The results show that the contradiction of online movie comments has a certain impact on box office revenue Through this research, the existing contradictory comments on research of experiential products are supplemented, and the research on the impact of online movie comments on box office revenue is enriched

Efficiency Evaluation and Influencing Mechanism of Compulsory Education Fiscal Expenditure

CHEN Wei, LUO Shi-qi

2020, 22 (1): 77-86. doi：10.19722/j.cnki.1008-7729.2019.0203

Abstract ( 95 ) PDF (0 KB)( 98 )

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 Based on Chinas current education fiscal expenditure mechanism, the efficiency of fiscal expenditure of compulsory education in the western provinces and its influencing factors are explored On this basis, the three-stage DEA efficiency model is used to evaluate the data from 2007 to 2016, and to evaluate the efficiency of their fiscal expenditure on compulsory education and explore the influencing mechanism made by different environmental factors The analysis shows that: Inner Mongolia and Gansu are relatively high in terms of overall efficiency, and are more affected by environmental factors; in terms of scale efficiency, Tibet is relatively low, and is most affected by environmental factors; with regard to technical efficiency, the overall difference is small and it is at a high level and not affected by environmental factors Further analysis finds that among the environmental factors, urbanization ratio, local government attention and years of education have a positive impact on the efficiency of fiscal expenditure, while per capita GDP, aging population and education density have a negative impact on the efficiency of fiscal expenditure

Influencing Factors of Learning Willingness to Apply MOOC to #br# Compulsory Education in Underdeveloped Areas

HUANG Yi-jun, JIN Xiao-jing, LI Lin

2020, 22 (1): 87-97. doi：10.19722/j.cnki.1008-7729.2019.0327

Abstract ( 89 ) PDF (0 KB)( 99 )

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In view of the backward economy, poor teaching environment, scarce teachers and loss of students in underdeveloped areas in China, the necessity and feasibility of applying advanced teaching technology MOOC to compulsory education in underdeveloped areas are explored Firstly, starting from the status quo of compulsory education in underdeveloped areas, a model of the influencing factors of students learning willingness to MOOC in underdeveloped areas was constructed based on UTAUT2 model Then the field survey method was used to distribute the questionnaire to collect data to verify the model, and the conclusions were drawn: performance expectancy, effort expectancy, social influence, facilitating conditions and hedonic motivation had positive influence on learning willingness to MOOC Self-learning management and learning willingness would not have a significant positive relationship Finally, suggestions on applying MOOC to compulsory education in underdeveloped areas were discussed based on the results of empirical research

Reasons and Mechanism of High-level Talent Flow in Universities under #br# Background of “Double First-Class” Initiative Construction

ZHOU Hai-feng，LOU Jia

2020, 22 (1): 98-105. doi：10.19722/j.cnki.1008-7729.2019.0334

Abstract ( 77 ) PDF (0 KB)( 1053 )

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 Under the background of vigorously constructing “double first-class”  universities in China, the influence of talent flow on the development of universities is becoming more and more obvious The current situation and trend of talent flow in China are first summarized. Then, the internal mechanism of talent flow is deeply explored from three aspects of thrust, tension and impetus, and its influence is analyzed from positive and negative aspects In the end, the new mechanism of rational flow of talents from five different stages of talent introducing, talent using, talent retaining, talent releasing and talent sharing is explored The purpose of this research is to help to implement “double first-class” initiative with high quality practical, and further to promote the development of talented countries, educational powers and technological powers

Action Research on Application of Multi-dimensional and Dynamic Needs Analysis Model in Courses of English for Occupational Purposes

LI Jing, ZHENG Chun-ping, HAO Jin-mei

2020, 22 (1): 106-116. doi：10.19722/j.cnki.1008-7729.2019.0386

Abstract ( 84 ) PDF (0 KB)( 106 )

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 Needs analysis is the guarantee for courses of English for occupational purposes (EOP) to connect the industry and education The present needs analyses of EOP are mostly static research gathering and analyzing data from one single resource Dudley-Evans & St Johns needs analysis model is highly recognized for its multiple sources of needs investigation and dynamic assessment of the outcome but rarely employed in EOP-related empirical research This model is applied to the development of Information Technology (IT) Workplace English Course in one University of Northern China and literature mining, questionnaires, interviews and two-cycle teaching are conducted based on three sources—researchers, IT professionals and students of the course The research finally identifies the course needs and practical implementation approaches In the meantime, the study provides suggestions for the application of Dudley-Evans & St Johns model