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Table of Content

    29 November 2020, Volume 29 Issue 6 Previous Issue    Next Issue
    Negative Tone of Prospectus and IPO Performance
    BIAN Shibo, JIA Dekui, YAN Zhipeng
    2020, 29 (6):  1025-1033.  doi: 10.3969/j.issn.1005-2542.2020.06.001
    Abstract ( )   PDF (1036KB) ( )  
    Using the method of textual analysis, the relationship is investigated among IPO first-day return, post-IPO long-run performance, and negative tone of prospectus, which is measured by using the Chinese financial sentiment dictionary first constructed in this paper. The findings suggest that the negative tone of prospectus is positively related to IPO first-day return. The empirical results also show that the negative tone is inversely related to post-IPO long-run performance. It is concluded that the negative tone contained in an IPO’s prospectus is able to offer useful information and help to predict IPO first-day return and post-IPO long-run performance.
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    Extension Restructuring and Welfare Effects of Outstanding Debts of LGFPs
    XU Youchuan, LIU Hongzhong
    2020, 29 (6):  1034-1042.  doi: 10.3969/j.issn.1005-2542.2020.06.002
    Abstract ( )   PDF (1025KB) ( )  
    In the debt structure of Local Government Financing Platforms (LGFPs), LGFPs are the nominal debtors while local governments are implicit contingent debtors. In the debt extension restructuring of LGFPs, whether local governments acknowledge or implement their contingent guarantee obligations may change the repayment source of LGFPs and affect the repayment expectation of banks. This paper describes the effects of the implicit compensation expectation of local governments on the debt extension modes and related welfares. It is concluded that when the renewal debt is expected to be difficult to get paid, LGFPs will prefer “self-repayment-style debt extension” which is paid off only by LGFPs, but banks prefer “compound-style debt extension” which is paid off jointly by LGFPs and local governments. In this case, LGFPs are inclined to leave aside the contingent guarantee obligations of local governments, but banks are eager to implement the aforementioned obligations. Besides, when the renewal debt is expected to be fully paid off, LGFPs will prefer “compound-style debt extension”, but banks prefer “self-repayment-style debt extension”. It seems that banks prefer the enhancement and improvement of the self-repayment ability of LGFPs, rather than the additional supplement of local governments in the way of improving solvency. Moreover, from the perspective of LGFPs and banks, the “compound-style debt extension” is better than “self-repayment-style debt extension”. As a co-decision maker, they have strong incentives to take advantage of the interests of local governments. Furthermore, although debt extension contributes to temporarily ease the repayment pressure of LGFPs and create time or conditions to regain solvency etc., it can only adjust the distribution structure of related welfares but does not help to improve the overall welfare of all participants.
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    A Small Enterprise Facility Rating System Based on Brown-Mood Test
    ZHOU Ying, SHEN Long
    2020, 29 (6):  1043-1055.  doi: 10.3969/j.issn.1005-2542.2020.06.003
    Abstract ( )   PDF (1311KB) ( )  
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    Investor Sentiment Contagion Between Shenzhen and Hong Kong Under the Background of Shenzhen-Hong Kong Stock Connect Based on SHIBBS-EEMD Model
    LI Helong, LIN Chuhan, ZHANG Weiguo
    2020, 29 (6):  1056-1064.  doi: 10.3969/j.issn.1005-2542.2020.06.004
    Abstract ( )   PDF (5678KB) ( )  
    Based on the investor sentiment proxy variable data of Shenzhen and Hong Kong stock markets, this paper constructs the comprehensive investor sentiment index affected by major events by using the established SHIBBS-EEMD model, and discusses the investor sentiment contagion effect by using the Granger causality test and Copula contagion index. The results show that the investor sentiment of Shenzhen is Granger-caused by Hong Kong. The contagion of investor sentiment of Hong Kong on investor sentiment of Shenzhen has risen rapidly after the opening of Shanghai-Hong Kong Stock Connect and Shenzhen-Hong Kong Stock Connect. The probability of risk contagion also rises as the connection between Hong Kong and Shenzhen increases.
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    Relationship Between Innovation Ecological Strategy and Innovation Efficiency from the Perspective of Innovative Ecological Network
    XIE Xuemei, WANG Hongwei, TANG Haiyan
    2020, 29 (6):  1065-1077.  doi: 10.3969/j.issn.1005-2542.2020.06.005
    Abstract ( )   PDF (1493KB) ( )  
    Based on the theory of innovation ecosystem, this paper constructs a moderated mediation model by introducing innovative ecological environment and innovation niche. Based on the survey data of manufacturing enterprises in the Yangtze River Delta, it explores the impact of innovation ecological strategy on corporate innovation efficiency through innovative ecological network by using the bootstrapping method. The results show that the innovation ecological strategy has a positive impact on the corporate innovation efficiency. The innovation ecological network plays a mediating role in the relationship between the innovation ecological strategy and the corporate innovation efficiency. In addition, the innovative ecological environment and the innovation niche moderate the mediation relationship. The research results further enrich the theoretical research of innovation ecosystem by constructing an intermediate transformation mechanism from innovation ecological strategy to corporate innovation efficiency from the perspective of innovative ecological network.
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    Research and Development Manipulation,“Multi-Min Dilemma”,and Effective Regulation:Stochastic Evolutionary Game Model and Simulation
    LI Junqiang, REN Hao
    2020, 29 (6):  1078-1089.  doi: 10.3969/j.issn.1005-2542.2020.06.006
    Abstract ( )   PDF (6633KB) ( )  
    Research and development manipulation often occurs in the application of high-tech enterprises. Therefore, a stochastic evolutionary game model of local governments, tripartite declaration enterprises, and intermediary agencies was built to study this phenomenon. The Ito ? stochastic differential equation theory was used to analyze the conditions of game subject behavior stability while computer simulation was used to analyze the directionality and degree of the choice of key variables of the game subject. It is found that as the taxes paid by enterprises are reduced, the probability of speculation of tripartite declaration enterprises for research and development manipulation is reduced, which confirms the positive impact of tax reduction on improving the authenticity of enterprise innovation. The probability of successful research and development manipulation of intermediaries is inversely proportional to the probability of research and development manipulative behavior selection. A low probability of successful manipulation of research and development will increase the willingness of intermediaries to conduct research and development. The research shows that the change in the amount of tax paid by enterprises before the approval of high-tech enterprises and the tax reduction ratio after approval of high-tech enterprises have a difference in direction and degree on the strategic choice of the game subject. Besides, it is confirmed that the improvement in local government innovation performance will weaken its enthusiasm for the supervision of research and development manipulation. In addition, judging from the perspective of regulatory efficiency, the measures taken by the government to increase the cost of research and development and manipulation by enterprises alone are more effective than to increase the cost of intermediaries to manipulate research and development. This paper not only provides practical evidence for corporate taxation, government innovation performance and research and development manipulation, but also provides a theoretical reference for better formulation and implementation of corporate research and development incentives and effective supervision.
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    Modeling of Online Word-of-Mouth Information Diffusion Based on Consumer Trust Relationship
    CUI Xuelian, Narisa
    2020, 29 (6):  1090-1100.  doi: 10.3969/j.issn.1005-2542.2020.06.007
    Abstract ( )   PDF (3012KB) ( )  
    In the context of social media, studying the impact of trust relationship on the process of online word-of-mouth (oWOM) communication can help companies formulate reasonable marketing strategies to control oWOM communication. First, based on the SIR epidemic model, a continuous time Markov oWOM communication model based on trust relationship is constructed, where social reinforcement and consumers’ interests shifting phenomenon are considered. The degree of trust between consumers is characterized by the strength of their social ties. Then, the effects of trust relationship on oWOM communication in networks with different community structures are analyzed using numerical experiments. Experimental results show that the improvement of trust can significantly promote the diffusion of oWOM. When the communities overlap, the promotion effect of community trust is enhanced, while the role of social trust is weakened. In addition, compared with the promotion effect of community trust on oWOM communication, the effect of trust among strangers is stronger, especially when the community structure of the network is not strong. In this case, influencers can more effectively control the oWOM communication process.
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    Content Governance Strategy of UGC Platform: Tripartite Game with Participation of Intermediary
    PENG Zhengyin, XU Peilei, WANG Yongqing
    2020, 29 (6):  1101-1112.  doi: 10.3969/j.issn.1005-2542.2020.06.007
    Abstract ( )   PDF (4024KB) ( )  
    The quality of user-generated content (UGC) has become increasingly prominent, and content governance has become the key behavior for the development of the UGC platform. This paper explores the influencing factors of content governance of the UGC platform, analyzes the influence of different factors on the behavior path of the platform, intermediary, and user, in order to provide decision-making basis for the platform to conduct content governance and explore the “security-development” path. By constructing the trilateral evolutionary game model of “UGC platform-MCN (multi-channel network) agency-head user”, and using the replication dynamic equation analysis and MATLAB software simulation analysis, this paper simulates the strategy evolution path of the tripartite game subject. It is found that penalty cost, governance intensity, management cost of intermediary, traffic loss, and reputation loss have an important impact on the decision behavior of content governance subject. Based on this, this paper proposes some suggestions and measures that are conducive to the tripartite game to evolve to {governance, management, compliance}, in order to promote the more healthy and stable development of the UGC industry.
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    Impact of Technical Features of Privacy Management on Intention of Mobile Users to Disclose Information
    LIU Bailing, SUN Wenjing
    2020, 29 (6):  1113-1123.  doi: 10.3969/j.issn.1005-2542.2020.06.009
    Abstract ( )   PDF (1130KB) ( )  
    Based on the CPM theory, from the perspective of users’ needs, the impacts of the technical features of privacy management on the intention of mobile users to disclose information are explored. The SmartPLS3.0 was used to conduct an empirical analysis with 283 valid data collected by using the method of scenario-based questionnaire survey. The results show that the technical features of privacy management (interaction management, information management, and permission justification management) have significant positive impacts on the personal intention of users to disclose information through perceived control. Interactive management and information management have direct positive impacts on the intention of users to disclose information. Meanwhile, perceived surveillance plays an intermediary role in the relationship between perceived control and the intention of users to disclose information. This paper provides appropriate theoretical guidance and suggestions for mobile service providers and application developers to design effective privacy management functions in mobile commerce applications that meet users’ privacy needs and stimulate more users to disclose their personal information, thus promoting the healthy development of the mobile commerce industry.
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    The Impact of firm’s Collaboration Network Position on Innovation Performance — Based on ICT Industry
    GUO Jianjie, XIE Fuji
    2020, 29 (6):  1124-1135.  doi: 10.3969/j.issn.1005-2542.2020.06.010
    Abstract ( )   PDF (1797KB) ( )  
    Based on the social network theory and collaborative innovation theory, this paper analyzes the effect of the positions of collaboration network (II) and the Industry-University-Research Institute collaboration network (IUR) of 8727 companies on the innovation performance by negative binomial regression using the joint patent data applied in the ICT industry from 2002 to 2014. The results show that different types of collaboration networks have different effects on the innovation performance of companies. In the II collaboration network, the degree centrality of the company and innovation performance has an inverted U-shaped relationship, and the structural hole has a significant positive impact on innovation performance. In the IUR collaboration network, the degree centrality of the company does not show a U-shaped effect on innovation performance, but a U-shaped relationship. The structural hole and the innovation performance show an inverted U-shaped relationship. The different effects can deepen the understanding of collaboration innovation and pointedly construct collaboration with different organizations.
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    China’s Two-way FDI,Intellectual Property Protection,and Green Patent Output:An Empirical Analysis of Provincial Panel Data
    WANG Manman, LIAN Shuai, LI Haiyan, YIN Shi
    2020, 29 (6):  1136-1149.  doi: 10.3969/j.issn.1005-2542.2020.06.011
    Abstract ( )   PDF (4113KB) ( )  
    Based on the 2004 to 2015 panel data of 30 provinces in China, this paper employs the EOF method to explore the spatial and temporal differentiation characteristics of China’s green patent output. It empirically examines the threshold effect of China’s FDI (foreign direct investment) and OFDI (outward foreign direct investment) on the intellectual property protection of green patent output and further analyzes the temporal and spatial heterogeneity of intellectual property rights protection in different regions. The results show that China’s green patents have obvious spatial and temporal differentiation characteristics during the sample period. The first modal results indicate the northeast and southeast coastal regions are high value regions and the northwest is the low value region. The second modal results manifest that the growth rate of green patent output in Beijing-Tianjin-Hebei area, the northeast and southeast coastal regions is faster, but that in the northwest region is slower. In addition, There are significant triple and double thresholds of intellectual property protection between China’s FDI, OFDI, and green patent output. Along with the development of intellectual property protection, the coefficient of impact of FDI on green patent output has changed from positive to negative and continues to decline, while the coefficient of impact of OFDI on green patent output has changed from negative to positive and continues to rise. There exist a temporal and spatial heterogeneity in China’s regional intellectual property protection, and most regions are shifting from a low intellectual property protection intensity to a medium-high intellectual property protection intensity.
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    A Differential Game Model of Government and Enterprise Emission Reduction Based on Emission Permits Trading and Subsidy for Emission Abatement
    HUANG Xin, LING Nengxiang
    2020, 29 (6):  1150-1160.  doi: 10.3969/j.issn.1005-2542.2020.06.012
    Abstract ( )   PDF (5007KB) ( )  
    Based on the background of carbon emission trading, this paper studies the Stackelberg emission reduction game between the government and many industrial enterprises under its jurisdiction by using the differential game theory. Besides, it also studies the impact of cooperative emission reduction between two regions on the strategies of the government and enterprises.  Enterprises also conduct emission reduction research and development while producing emissions, while the government provides research and development subsidies for enterprises. Moreover, by constructing the Hamilton-Jacobi-Bellman equation and using the optimal control theory method, it investigates the dynamic subsidy strategies and the emission abatement strategies of governments and enterprises under the condition of cooperation and non-cooperation. It can be found that the cooperative game will increase the research and development subsidies of the government, and the abatement investment of the government and enterprises, thus reducing the actual emissions of each region. The validity of the model conclusion is verified by the analysis of the relevant data in an example. This paper provides a scientific basis for the cooperation of governments in emission reduction and the formulation of production and emission reduction research and development strategies for enterprises.
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    Dispatching Optimization Model and Application of Integrated Energy System Based on Energy Blockchain

    ZHANG Yi, SHI Qian
    2020, 29 (6):  1161-1168.  doi: 10.3969/j.issn.1005-2542.2020.06.013
    Abstract ( )   PDF (4647KB) ( )  
    Integrated energy service is a new energy service model generated under the background of the energy Internet. In the integrated energy service system, there are many production and sales entities, and energy production and consumption are diversified. Aimed at the information security and loss problems in the integrated energy system dispatching process, an integrated energy service scheduling optimization model was proposed based on the energy blockchain. Besides, utilizing the decentralization, trustworthiness, and transaction transparency of the blockchain technology, a comprehensive energy service network architecture was constructed based on blockchain. Moreover, a scheduling optimization model with the goal of maximizing system economic and environmental benefits was established to effectively reduce the system operating costs which greatly improved economic and environmental benefits. Case analysis shows that the energy blockchain technology can improve the security of the integrated energy system and ensure that relevant data cannot be tampered with. Meanwhile, the constructed integrated energy service scheduling optimization model can provide decision-making support and theoretical support for integrated energy system operation management and scheduling optimization issues.
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    Forecast of Travel Index of Air Passengers Based on LSTM-SVR Model
    XIONG Honglin, JI He, FAN Chongjun, YANG Mengda
    2020, 29 (6):  1169-1176.  doi: 10.3969/j.issn.1005-2542.2020.06.014
    Abstract ( )   PDF (6128KB) ( )  
    The situation of air passenger travel is of great significance to the construction and operation of civil aviation airports. The travel index of air passengers is defined, and the machine learning method is used to predict the travel index of air passengers. To overcome the insufficient prediction accuracy of a single model, a long short-term memory network (LSTM) and support vector regression (SVR) integrated forecasting model is proposed, and clustering analysis is performed on the forecast result set. The empirical progressive analysis based on airport passengers in Shanghai Airport verifies the feasibility and validity of the forecasting model proposed. The experimental results show that the forecasting model proposed has a higher accuracy than the traditional single forecasting model. At the same time, the forecasting model proposed also has obvious advantages compared with other integrated forecasting models. In addition, based on the K-means algorithm, the travel index of air passengers is clustered and a row rating is given, which provides certain value decision support for airport operation management and travel choice of passengers.
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    An Approach to Optimizing Distribution Plans of Oil Products for Multiple Distribution Schemes with Lateral Transshipment
    SUN Lijun, ZHOU Yaxian, SHI Haiyang, HU Xiangpei
    2020, 29 (6):  1177-1187.  doi: 10.3969/j.issn.1005-2542.2020.06.015
    Abstract ( )   PDF (2122KB) ( )  
    To optimize distribution plans of oil products for multiple distribution schemes with lateral transshipment, the models which can express multiple distribution schemes are developed with the objective of minimizing the total distribution cost. Besides, a heuristic algorithm is proposed for getting distribution plans of multiple distribution schemes, which can produce high quality solutions rapidly. The effectiveness of the proposed models and algorithm is verified by numerical results. The managerial insights of this paper are that co-distribution can never be the lowest-cost distribution scheme; when vehicles are not fully loaded, the optimization space of mixed distribution is larger; the cost advantage of mixed distribution is more significant when the transshipped depot is closer to the distribution district; and the time difference for getting distribution plans in different schemes by the proposed algorithm is small. When making distribution plans, the separate distribution plan and the mixed distribution plan can be generated at the same time, and then select the best one. This paper provides a scientific approach for choosing a better distribution scheme and optimizing distribution plans under the circumstance of lateral transshipment, which is favorable to reduce the distribution cost for distribution companies of oil products.
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    Tripartite Coordination Contract for Green Car Rental System with Price-Dependent Demand Rate
    QI Zhengqing, JING Youguo, AN guifang, QIN Kaida
    2020, 29 (6):  1188-1196.  doi: 10.3969/j.issn.1005-2542.2020.06.016
    Abstract ( )   PDF (1055KB) ( )  
    Considering a tripartite system which is composed of green car manufacturer, rental company, and the government, this paper studies system coordination and the optimal decisions of fleet sizing and the rental price, with the market demand rate being stochastic and dependent on the rental price. Therefore, a decentralized decision model, a centralized decision model, and a integrated coordination contract model based on cost sharing, revenue sharing, and two-part tariff are established respectively. The results indicate that the system cannot achieve coordination in decentralized decision-making. The introduced integrated contract can not only achieve system coordination but also benefit each members by Pareto improvement when contract parameters satisfy certain conditions. Finally, the model is verified by example analysis.
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    A Dynamic Collaborative Evolutionary Algorithm for Solving Two-Sided Sequence-Dependent Disassembly Line Balancing Problem
    LIU Jia, WANG Shuwei
    2020, 29 (6):  1197-1204.  doi: 10.3969/j.issn.1005-2542.2020.06.017
    Abstract ( )   PDF (1634KB) ( )  
    Considering interactions among parts of large-sized end-of-life products in the disassembly process, a two-sided sequence-dependent disassembly line balancing problem is presented. Then a dynamic collaborative evolutionary algorithm is proposed to solve the problem. In the proposed algorithm, a one-dimensional signed integer permutation-based representation is designed to represent a feasible solution, which is simple and easy to implement. A dynamic neighborhood search strategy is used to improve search efficiency, and a self-learning operator is introduced to enhance the individual adaptability. Before the evolution of the next generation, the two populations will communicate with each other to improve the quality of their offspring. Finally, the effectiveness of the proposed algorithm is verified by three scale instances.
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    Vertical Cooperative Advertising Models for Dual-Channel Supply Chain Considering Fairness Concern
    WANG Yibao, GAO Dan, YUAN Baiyun
    2020, 29 (6):  1205-1214.  doi: 10.3969/j.issn.1005-2542.2020.06.018
    Abstract ( )   PDF (1163KB) ( )  
    The vertical cooperative advertising problem in a dual-channel supply chain is studied by using Stackelberg game models, aiming at the realistic background that manufacturer shares the cost of offline retailer’s local advertising, taking into account the cooperative advertising plan of online retail platform. The bilateral vertical cooperative advertising model and the dual-channel supply chain cooperative advertising model considering the fairness concern of offline retailers are studied respectively based on the unilateral vertical cooperative advertising model. The results show that the cost sharing of online retail platforms does not always promote the improvement of manufacturer’s national advertising investment and overall profit. When the participation rate of online retail platforms is large, manufacturer’s participation in the cooperative advertising plan is also beneficial to increase the profit of offline retailer. The offline retailer’s fairness concern behavior will increase his/her investment in local advertising, but it does not always improve his/her perceived equity utility. When the marginal profit of manufacturer’s offline channel is large, the excessive fairness concern of offline retailer is conducive to increase manufacturer’s profit.
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    Product Pricing Policy Considering Fairness Preference and Vertical Differentiation
    GUAN Zhenzhong, REN Jianbiao, SONG Qiuyun
    2020, 29 (6):  1215-1225.  doi: 10.3969/j.issn.1005-2542.2020.06.019
    Abstract ( )   PDF (5536KB) ( )  
    This paper studies the optimal pricing policy for two competitive firms considering fairness preference of bounded rationality in a duopoly market. The two competitive firms sell high quality products and low quality products, respectively. Different from traditional fully rational decision-making, the two firms consider the classic fairness preference factor in decision-making. The results show that when a single firm considers fairness preference, both of them will take a mark-down policy to attract more consumers. In addition, the extent of the mark down of the firm is greater when the firm is unfavorable unfair than when it is advantageous unfair. When two firms consider fair preferences, both parties will mark down, and the extent of the mark down of the firms is larger than the case when a single firm considers fairness preference. In this case, the extent of the response to the mark down is larger with the high-quality firm than with the low-quality firm, and the total extent of the mark down is related to the perceived parameters and the psychologically expected market ratio.
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