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Table of Content

    28 January 2021, Volume 30 Issue 1 Previous Issue    Next Issue
    An Efficient Factor Screening and Classification Procedure Based on Multi-Response Sequential Bifurcation and Applications
    LIU Lijun, MA Yizhong, OUYANG Linhan
    2021, 30 (1):  3-13.  doi: 10.3969/j.issn.1005-2542.2021.01.001
    Abstract ( )   PDF (1144KB) ( )  
    Sequential bifurcation (SB) is the most effective and efficient method of factor screening for many input problems. However, SB usually ignores the factors which are significant for dispersion effects. Besides, it could not be used to simultaneously screen the location and dispersion effects due to its basic assumptions. Therefore, in this paper a novel screening procedure based on multi-response sequential bifurcation was proposed to screen and classify factors simultaneously. First, the factors were pre-classified into two categories according to the signs of location and dispersion effects. Next, for any category, a new procedure combined with the sequential probability ratio test (SPRT) which included stopping rules and importance tests to control the two types of error was proposed to screen and classify all the significant factors into three classes. Finally, a simulation model was employed to verify the effectiveness and robustness of the proposed screening procedure. The results show that considering both the location and the dispersion simultaneously has more economic efficiencies than considering them separately.
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    Dynamic Optimization of Cooperation on Carbon Emission Reduction and Promotion in Supply Chain Under Government Subsidy
    WANG Daoping, WANG Tingting
    2021, 30 (1):  14-27.  doi: 10.3969/j.issn.1005-2542.2021.01.002
    Abstract ( )   PDF (5045KB) ( )  
    Aimed at solving the problem of carbon emission reduction, promotion and government subsidy strategies in the low-carbon supply chain, a differential game model of the supply chain consisting of manufacturers and retailers were constructed with government participation under the background of low-carbon. Taking both the carbon emission reduction and goodwill as state variables, and considering the fact that the demand was affected by both the carbon emission reduction and goodwill, the feedback equilibrium strategies of the government and supply chain under different decisions was analyzed, and further discussed in combination with numerical analysis. The results show that the cost-sharing contract can achieve Pareto improvements in the profits of manufacturers and retailers under certain conditions, when there is no government subsidy. At the same time, the carbon emission reduction of product, goodwill, and the demand are increased. Besides, the optimal emission reduction effort of manufacturers, the optimal promotion effort of retailers, and the optimal subsidy coefficient of the government are not related to time, when there is government subsidy. The government subsidy offered to supply members of the chain is related to the structure and status of the game. Moreover, the government subsidy plays an effective role in regulating the profit distribution of enterprises in the supply chain.
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    Spatiotemporal Characteristics and Network Analysis of Car-Hailing Mobility Behavior
    YUAN Yun, XU Ge, JIA Jianmin
    2021, 30 (1):  28-39.  doi: 10.3969/j.issn.1005-2542.2021.01.003
    Abstract ( )   PDF (9091KB) ( )  
    The trajectory of car-haling is a type of spatiotemporal big data that can capture the characteristics of citizens’ mobility behavior. This paper constructs a travel complex network for car-hailing service from the perspective of network analysis and explores the spatiotemporal characteristics of mobility behavior, which is important for urban planning, route recommended, traffic optimization and so on. Based on the historical order data of DiDi service in Chengdu in November 2016, the travel complex network is constructed by dividing the main urban area into 400 urban grids and developing an OD matrix of car-hailing. This paper provides an in-depth analysis of the complex travel network structure, including centrality measures and the importance of mobility relationship, and develops multiple measurements to capture the spatiotemporal characteristics of mobility. The results show that the travel network for car-haling in Chengdu conforms to small-world network. Typical spatial differentiation characteristics, the distribution of node centrality, and the importance of mobility relationship follow truncated power-law functions. Besides, the imbalance of mobility behavior, the uncertainty of travel location distribution, and the imbalance of flow direction in the travel network have clear spatiotemporal evolution patterns. Moreover, for the current travel network, the density of travel volume which represents the travel scale will have a positive effect on these mobility characteristics.
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    Structure and Evolution of Venture Capital Network in China
    JIN Yonghong, WANG Wei, XI Yuqin
    2021, 30 (1):  40-53.  doi: 10.3969/j.issn.1005-2542.2021.01.004
    Abstract ( )   PDF (5187KB) ( )  
    This paper builds a five-year mobile time window joint venture investment network based on China’s venture capital events from 1999 to 2018, and studies the structure and dynamic evolution of China’s venture capital network from a complex network perspective. It is found that in the nature of network relationships, the scale of China’s venture capital network is constantly increasing, and the network capabilities among institutions differ greatly, which is not conducive to the balanced development of the network. There is local compactness, and as the scale increases, the proportion of the largest connected component in the network also increases accordingly, and the institutions are mostly distributed in low-k kernel regions with low cohesion and high cohesion regions being few, which is not conducive to the construction of a tight venture capital network. In terms of network characteristics, from the perspective of two-step accessibility, the proportion of direct joint investment activities between institutions is small, and most institutions conduct joint investment activities through intermediary venture capital institutions. From the perspective of overall efficiency, the ability of China’s venture capital network to transfer information between institutions has not decreased with the increase of the network size, but has remained at a relatively stable level, instead. Finally, when the network is faced with random shocks, the scale of the network increases, the robustness and effectiveness of the network increases, too. When faced with deliberate shocks, the robustness is weakened, and there is a crisis of network function failure. This paper is a supplement to the existing literature, which also provides some suggestions for optimizing China’s venture capital network.
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    Secondary Decision Criterion of Futures Hedging Based on Efficiency and Economic Value
    YU Xing, WANG Yuxia, WANG Xinxin
    2021, 30 (1):  54-62.  doi: 10.3969/j.issn.1005-2542.2021.01.005
    Abstract ( )   PDF (1179KB) ( )  
    Hedging strategies of futures based on different risk measures are different, and the hedging efficiency is used to compare the hedging performance of different risk measures. However, the hedging strategy with a high hedging efficiency may not be optimal when the hedging cost is taken into account. In order to balance hedging efficiency and hedging cost, this paper introduced the economic value to further compare the effectiveness of different hedging strategies, and proposed the secondary decision criterion of futures hedging. First, futures hedging models under the risk measures of variance, VaR(value at risk), and CVaR(conditional  value at risk) were constructed, and the explicit expressions of the optimal hedging position and hedging efficiency were given. Then, the optimal model-driven hedging strategy decision criterion was proposed. Considering the hedging cost, the second decision criterion of different hedging strategies was presented based on the economic value. Finally, the empirical analysis on hedging of Brent crude oil futures was conducted. The result indicate that the empirical results are consistent with the theoretical research. Besides, the economic value of the optimal hedging strategy based on the primary criterion is not always greater than zero, i.e., when considering the hedging cost, the hedging strategy based on the maximum hedging efficiency may bring more losses than benefits to the investors, which further illustrates the effectiveness of the secondary decision criterion of futures hedging constructed in this paper.
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    Fund Performance,Performance Dispersion,and Managerial Risk Shifting Behavior
    YANG Zhen, LIU Hailong
    2021, 30 (1):  63-75.  doi: 10.3969/j.issn.1005-2542.2021.01.006
    Abstract ( )   PDF (1322KB) ( )  
    Under the relative performance evaluation mechanism, fund managers will determine the portfolio risk based on their own performance and industry performance distribution. The research shows that the closer the fund performance is to the industry average in the first half of the year, the higher portfolio risk the managers would assume in the second half of the year. The fund performance and managerial risk shifting behavior are in an inverted U-shape. In addition, fund managers mainly adjust the heterogeneous risk of the investment portfolio, rather than the systemic risk. Fund companies are concerned about the scale of asset management, while fund managers care about their own compensation, which is based on their relative performance. Fund performance dispersion represents the performance gap between this fund and other funds. When the dispersion is small, the risk adjustment behavior of fund managers is more significant. However, when the dispersion is small, the sensitivity of the flow of investors to fund performance decreases, and the risk adjustment behavior of fund managers cannot increase fund size, indicating that there is also a principal-agent problem between fund companies and fund managers.
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    Patient Choice Decision Behavior in Online Medical Community from the Perspective of Service Diversity
    CAO Xianye, LIU Jiaqi
    2021, 30 (1):  76-87.  doi: 10.3969/j.issn.1005-2542.2021.01.007
    Abstract ( )   PDF (4888KB) ( )  
    With the development of service innovation and diversity, the focus of online medical service has been transitioned from early service adoption to service management. Based on the signal theory, this paper aims to explore the influence of diversity of doctor services and quality of service signals on patients’ choice of physicians in the context of online medical services. After collecting the data from “good doctor online”, propensity score matching (PSM) was used to control other variables to study the effect of service diversity on patients’ choice of physicians who were classified by the title, the popularity, and the average service price separately. The PSM within the group was used to study the influence of service diversity on patients’ choice of physicians in different contexts. In addition, the OLS regression model was further used to explore the influence of the number of service categories, the popularity of doctors, and the price of doctors on patients’ choice. The results show that in the low-price group, service diversity has no significant effect on patients’ choice. Compared with the middle-price groups, service diversity has a greater influence on patients’ decision-making than that in the high price group. Compared with the median and low popularity group, the influence of service diversity on patients’ decision-making is stronger than that in the high popularity group. Compared with other clinic title groups, the influence of service diversity on patients’ decision-making is greater in the associate chief physician group than that in other groups. The number of service types can significantly positively affect the decision-making of patients, and the popularity of doctors and service prices play an effective positive regulating role.  The conclusion of this paper can provide an important practical reference for doctors and online medical platforms.
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    Information Disclosureand Market Concentrationof IT Crowdsourcing Service Providers
    LIU Jingfang, ZHOU Yingyi
    2021, 30 (1):  88-93.  doi: 10.3969/j.issn.1005-2542.2021.01.008
    Abstract ( )   PDF (1355KB) ( )  
    IT crowdsourcing market is an Internet-based IT outsourcing market. In this paper, taking the data of IT crowdsourcing service providers in 4 subcategories of IT services in crowdsourcing website as samples, the Pareto curve and panel data analysis were used to test the impact of the Internet information disclosure and the interactive effect of online reputation and self-presentation on the market concentration of IT crowdsourcing. The results show that there is a “star effect” in the IT crowdsourcing market under the information disclosure mechanism of the Internet, which is inefficient for the entire IT crowdsourcing market. The IT crowdsourcing market of an IT service providers with a high online reputation or a high self-presentation is less centralized than that of an IT service provider with a low online reputation or a low self-presentation. An effective way to reduce the concentration of the IT crowdsourcing market is to bring in enough IT crowdsourcing providers with high online reputations and high self-presentations, and improve the information disclosure mechanism of crowd-sourcing platform will help improve the efficiency of IT crowd-sourcing market.
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    Effect of Robo-Advisor on Investment Behavior Under the Environment of Internet Finance
    GE Ruyi, HU Rong
    2021, 30 (1):  94-100.  doi: 10.3969/j.issn.1005-2542.2021.01.009
    Abstract ( )   PDF (913KB) ( )  
    Based on the data collected from a renowned online lending platform, the effect of robo-advisor on the investment amount per loan, the total investment amount, and the risk preference of investors were examined by using the fixed effect model and the difference-in-differences model. It is found that the use of the robo-advisor reduces the investment amount per loan, increases the total investment amount, and reduces the risk tolerance of investors. This paper enriches the literature on robo-advisor and behavior finance, deepens the understanding of enterprises of the behavior of investors, and helps investors improve the design and implementation of robo-advisor services.
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    Design of Cooperation Contract in Mobile Application Supply Chain Considering Quality and Delivery Time Constraint
    REN Tinghai, ZHANG Xumei, DAN Bin
    2021, 30 (1):  101-118.  doi: 10.3969/j.issn.1005-2542.2021.01.010
    Abstract ( )   PDF (1354KB) ( )  
    In a mobile application supply chain(MASC) with an ERP(enterprise resource planning) vendor, an APP vendor and a customer enterprise, the ERP vendor and the APP vendor jointly provide a mobile application system (MAS) to the customer enterprise. The customer enterprise has constraint on delivery time and quality of the MAS which is also influenced by the pre-sale service of the ERP vendor. Besides, the demand of customer enterprise may change during software development. Focused on these questions, a revenue model was established based on the quality preference and delivery time sensitivity of the customer enterprise, and a cooperation contract consisting of fixed payment, early delivery award, and maintenance cost sharing was proposed. Furthermore, the impact of the cost of the APP vendor and the quality preference, delivery time sensitivity and change in demand of the customer enterprise on the decision-making of the APP vendor and the contract design strategy of the ERP vendor were analyzed. The results show that the optimal decisions of the APP vendors and the optimal cooperation contract design of the ERP vendor have different situations when the quality preference degree and delivery time sensitivity of the customer enterprise, the cost coefficient of the APP vendor and the other parameters change. First, the ERP vendor can motivate the APP vendor to deliver high-quality MAS on time, and the change of the demand of the customer enterprise does not affect the total profit of the supply chain if the requirement of the customer for deliver time is less than the critical value. Next, the ERP vendor can motivate the APP vendor to deliver the MAS in advance when the requirement of the customer for deliver time is greater than the critical value and the demand change is greater than that of a certain threshold. Finally, the ERP vendor can motivate the APP vendor to deliver high-quality MAS in advance, and the change of the demand of the customer enterprise does not affect the total profit of the supply chain when the requirement of the customer for deliver time is greater than the critical value and the demand change is less than the threshold. No matter whether the APP or ERP vendor decides the delivery time the cooperation performance and the total profit of the supply chain is not affected. Meanwhile, the ERP vendor can offer either a cooperation contract based on fixed payment, early delivery award and maintenance cost sharing or a contract based on fixed payment, delivery time and maintenance cost sharing, and cooperation performance of two kinds of contract is the same.
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    A Model for Vendor Operating Cooperation Selection in Equity Financing
    YU Hui, LI Yaxun
    2021, 30 (1):  119-132.  doi: 10.3969/j.issn.1005-2542.2021.01.011
    Abstract ( )   PDF (28635KB) ( )  
    It is one of the important problems faced by enterprises to choose the right object of operation cooperation after financing. This paper applies the mean-variance model to study the choice of operational cooperation partners after supplier equity financing in the case of suppliers not participating in cooperation, cooperation between suppliers and retailers, and cooperation between suppliers and retailers and investors. It is found that cooperation between suppliers, retailers, and investors is the best choice. If the cooperation between suppliers and retailers is not possible, the choice of cooperation between suppliers and retailers will be affected by the amount of financing and the degree of risk aversion of channel members. If the amount of financing of suppliers is small and the degree of risk aversion of retailers is relatively high, suppliers choose to cooperate with retailers. In other cases, suppliers choose not to cooperate with retailers.
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    Enterprise Dynamic Pricing and Research and Development Investment Decision Considering Consumer Strategy Behavior
    NA Qi, MA Yonghong, LIU Ang, JING Yan
    2021, 30 (1):  133-141.  doi: 10.3969/j.issn.1005-2542.2021.01.012
    Abstract ( )   PDF (2555KB) ( )  
    Considering the fact that the strategic behavior of consumers is one of the many factors affecting the market demand when purchasing goods, and the fact that the research and development activities of enterprises are effective measures to enhance the market competitiveness, the problems that companies have in the process of research and development activities are discovered in order to reveal the relationship between consumer strategic behavior and the research and development investment. The Stackelberg classic game model is expanded, and the influence of major decision parameter changes on the enterprise are analyzed by means of the simulation technology. The results indicate that in the centralized decision-making mode, follower enterprises selling goods at discounted prices has no significant influence on the pricing decisions of the leader enterprises, and their research and development investment is positively correlated with the commodity price. However, in the decentralized decision-making mode, with the continuous expansion of research and development investment, the market share of follower enterprises has been significantly improved, and the research and development investment of follower enterprises is negatively correlated with the commodity price of leader enterprises.
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    Industry-University-Research Collaborative Innovation, Knowledge Accumulation, and Technology Innovation Efficiency: An Empirical Analysis Based on Dynamic Panel Threshold Mechanism
    XIAO Zhenhong, FAN Jundi, LI Yan
    2021, 30 (1):  142-149.  doi: 10.3969/j.issn.1005-2542.2021.01.013
    Abstract ( )   PDF (1535KB) ( )  
    Based on the coupling model of industry-university-research collaboration, the data envelopment analysis model, and the dynamic panel threshold regression model, the impact of the level of collaborative development of industry, university, and research on the efficiency of regional technological innovation when knowledge accumulation was the threshold variable was studied using the panel data from 30 provinces and cities in China from 2013 to 2017. The empirical results show that when the level of knowledge accumulation is the threshold variable, there is a clear double threshold effect between the level of synergy between industry-university-research and the efficiency of technological innovation. With the increase of knowledge accumulation, the impact of the development of industry-university-research collaboration on the efficiency of technological innovation changes from negative to positive, and the degree of influence continuously increases, and then the low knowledge accumulation interval (KS≤0.3240), the middle knowledge accumulation interval (0.32402.0212) can be divided. There is an obvious temporal and spatial heterogeneity in knowledge accumulation in various regions of China, and the regions in the low knowledge accumulation range are mostly remote areas in the west. Therefore, it is necessary to strengthen the diffusion, absorption, inheritance, and accumulation of knowledge and technology between regions, and strengthen the linkage between the central and western regions and the eastern region to promote the improvement of regional technological innovation efficiency.
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    Policy Regulation of Desert Control
    SUN Jiayi, TAN Deqing
    2021, 30 (1):  150-158.  doi: 10.3969/j.issn.1005-2542.2021.01.014
    Abstract ( )   PDF (4000KB) ( )  
    The problem of global desertification is becoming increasingly serious. Governments all over the world have fully realized the importance of desert governance. However, desert governance needs a lot of funds, advanced technology, and a long governance cycle. It is impossible to effectively control deserts only by government investment. Therefore, social capital should be fully utilized. By constructing a differential game model between the government and the enterprise, the use of subsidies and tax rate regulation by the government to guide social capital to effectively control the desert is studied. The results show that the reduction of the tax rate of original industries of enterprises or the reduction of the tax rate of green industries after the enterprises have participated in desert governance can promote enterprises to increase their investment in desert governance, and the greater the influence coefficient of desert governance on enterprises’ goodwill is, the more effective the governments’ strategy of reducing the original industrial tax rate of enterprises to promote enterprises to increase their investment in desert governance is. The government can improve the effect of government subsidies on investment in desert governance by reducing the two kinds of tax rates which have an interactive effect on the effect. The results of this paper can provide policy reference for the government to introduce social capital to effectively control the desert.
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    Research and Development Innovation and Pharmaceutical Supply Chain Coordination Under the Influence of Social Responsibility
    CHEN Xiaochun, ZHANG Wensong
    2021, 30 (1):  159-169.  doi: 10.3969/j.issn.1005-2542.2021.01.015
    Abstract ( )   PDF (1218KB) ( )  
    Based on the perspective that the pharmaceutical manufacturer and medical institution pay attention to consumer surplus at the same time, this paper, taking research and development innovation and medical insurance payment as endogenous factors that affect consumer utility, depicts the impact of social responsibility on equilibrium results in different decision-making models. The research shows that whether it is the whole pharmaceutical supply chain or the pharmaceutical manufacturers’ individual focus on social responsibility, it is beneficial to enhance the research and development innovation ability in the three kinds of decision-making models. In the non-cooperative decision-making model, enhancing the social responsibility of the pharmaceutical manufacturer can effectively control the wholesale and retail prices of drugs, increase the income of stakeholders and the surplus value of consumers, but it will weaken its own profitability. However, as the overall social responsibility of the supply chain increases, improving the level of social responsibility shared within the threshold is conducive to the value-added of the pharmaceutical manufacturer. The combination contract coordination strategy consisting of government subsidies, collaborative innovation, and collective procurement optimizes the pharmaceutical supply chain, which can effectively stimulate the power of innovation and increase overall social welfare.
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    Theoretical Interpretations and Empirical Analyses of China’s Drug Volume-Based Procurement Reform
    CHEN Zhihong, XU Hong
    2021, 30 (1):  170-179.  doi: 10.3969/j.issn.1005-2542.2021.01.016
    Abstract ( )   PDF (1809KB) ( )  
    Since 2018, three rounds of China’s drug volume-based procurement (VBP)have been implemented, covering 112 kinds of drugs in total and saving about 53.9 billion health insurance expenditures every year. This paper focuses on the theoretical interpretations and empirical analyses of procurements. It is found that district choosing mechanism has a significant effect on bidding. The fusing mechanism is theoretically restricted by the cost factor, but it still exerts certain effects in practice. China’s VBP reform promotes the development of quality-and-cost-based competition in the drug market, and increases the concentration ratio of the industry. VBP is an indispensable route to deepen the health care reform, which contributes to the establishment of the health insurance payment criteria. The reform is extended from the nation level to provinces and cities, as well as from drugs to medical supplies. The core problem of centralized drug procurement is the information asymmetry of quality and cost of drugs, thus quality control such as consistency evaluation and pharmacovigilance still needs to be strengthened.
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    Underlying Logic of Artificial Intelligence Reshaping the Retail Industry: Overview and Prospect
    ZHOU Yuwei, LU Wei
    2021, 30 (1):  180-190.  doi: 10.3969/j.issn.1005-2542.2021.01.017
    Abstract ( )   PDF (1450KB) ( )  
    Human beings are stepping into an intelligent era and an intelligent society. As a technology with extensive and open application scenarios, artificial intelligence (AI) has profoundly changed the retail industry. AI continues to optimize the retail chain, and technological breakthroughs will overlay each business stage and make them influence each other. The core connotation of the transformation of the retail industry by AI is driven by technology. By providing value to the supply-side and consumption-side, AI directly causes the disruptive change of the interaction between consumers and companies and contributes to the new pattern of “AI+ retail”. In this paper, specific examples of the application of AI in the retail industry are comprehensively sorted out, four types of AI tasks are analyzed in detail, and the application of AI in the retail industry and the new retail scenarios are summarized. In addition, the underlying logic of the transformation and upgrading of retail industry caused by the landing of AI application scenario are analyzed in an in-depth manner and classified into the effectiveness value, the efficiency value, the experience value, and the enhancement value. Finally, explicit and implicit challenges faced by consumers and enterprises are proposed.
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    Energy Revolution Empowered by Development of Energy Storage Industry and Its Key Management Science Issues
    XU Wandi, WEI Lai, LUO Jun, YIN Haitao
    2021, 30 (1):  191-197.  doi: 10.3969/j.issn.1005-2542.2021.01.018
    Abstract ( )   PDF (1885KB) ( )  
    The explosive growth of the energy storage industry is not an independent industrial phenomenon, but an inevitable demand from the energy production and consumption revolution with the use of new energy as the main guide, which will reshape the energy supply and consumption of the society in a systematic manner. In this system transformation, there are many management science issues which need urgent attention and research from the academic community. This paper discusses several practical application scenarios for the development of energy storage, focusing on the emerging development of energy storage models such as centralized energy storage for shared energy storage and distributed energy storage with integrated production and marketing. It proposes scientific issues such as mechanism construction, capacity planning, dynamic pricing, and optimal scheduling from the perspectives of feasible business models, mid-to-long-term planning and design, and short-term and immediate operation management.
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