Table of Content

25 May 2019, Volume 28 Issue 5

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Theory Analysis and Methodology Study

Dynamic Pricing and Inventory Management under Service Level Constraint

DUAN Yong-rui, XU Chao, HUO Jia-zhen

2019, 28(5):  1-7.  DOI: 10.12005/orms.2019.0097

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This paper studies a dynamic pricing and inventory management problem under service level constraint. Consider a firm who sells a product through finite planning horizon, then the demand of product is stochastic demand and the expect demand depends on the product price. At the beginning of each period, with the consideration of service level constraint, the firm needs to decide the price of the product and order quantity simultaneously. The problem is modeled through stochastic dynamic programming, and the existence of optimal solution is verified. Furthermore, by characterizing the structure of optimal solution, the original problem is divided into several sub-problems, which makes the problem easier to solve. Through the analysis of optimal solution, we prove that the optimal price of product decreases in initial inventory level. By analyzing the impact of target service level on firm’s profit, we find that there exists a tradeoff between service level and profit, where the pursing of high service level leads to profit loss. The numerical simulation shows that compared to the traditional static pricing strategy, the introduction of dynamic pricing strategy can alleviate this profit loss, and therefore verifies the effectiveness of dynamic pricing strategy.

Study of Restoration Decisions for Infrastructures Existing Time-Sensitive Options Interdependency

REN Ai-jun, TIAN Jun, FENG Geng-zhong

2019, 28(5):  8-16.  DOI: 10.12005/orms.2019.0098

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Restoration interdependency among infrastructures brings serious challenges to infrastructure restoration after a non-routine event. In order to restore infrastructures efficiently and orderly, it is critical making restoration decisions according to interdependency relationship. With the conditions of time and resource constraint, the paper proposes a mixed-integer programming model for infrastructure restoration design and scheduling with time-sensitive options restoration interdependency based on network flow theory. The objective of model is to maximize the cumulative performance of infrastructure restoration. Then, the applications of the model are discussed in the three typical decision-making environments containing centralized and decentralized and information-sharing decision-making environments. Finally, based on real infrastructure data set, the model is tested in the three decision-making environments, and the study finds: (1)it is feasible to apply the model to the infrastructure restoration design and scheduling after a non-routine event; (2)decision-making environments have a significantly effect on the whole cumulative performance of infrastructure restoration existing interdependency; (3)compared with decentralized decision-making environment, the whole cumulative performance of infrastructure restoration of independent decision can be improved greatly in information-sharing decision-making environment.

Incomplete Preference Complex Large Group Emergency Decision Making Method Based on Trust Degree of Decision Makers & Combination Weighting

CAI Chen-guang, XU Xuan-hua, WANG Pei, XUE Xing-jian

2019, 28(5):  17-25.  DOI: 10.12005/orms.2019.0099

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For a complex large group decision-making problem: attribute weights are known completely and expert preference information is incomplete, a new decision approach is proposed. Firstly, a filling mechanism of incomplete values based on trust degree of decision makers is designed, which is used to add the missing preference information. Secondly, the large group preference information for each alternative is clustered, a combination weighting method based on information entropy of alternative and group preference conflict degree is constructed, which is used to calculate attribute weights, and then the comprehensive evaluation value for each alternative is presented. Finally, an example is given to illustrate this method, and the validation results demonstrate the good feasibility and validity of proposed method.

Optimal Pricing and Ordering Policies for Non-instantaneous Deteriorating Items with Maximum Lifetime

ZHANG Rui, LIN Feng, JIA Tao

2019, 28(5):  26-34.  DOI: 10.12005/orms.2019.0100

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Practically, the retailer could adopt differential pricing policy for the non-instantaneous deteriorating items with maximum lifetime, i.e., different selling prices would be assigned to the items with different quality. Specifically, the retailer could adjust the pricing policy for selling out the items before they start to deteriorate, or lower the selling price for the deteriorated items to stimulate the market demand. Thus, in this paper, we study the retailer’s optimal ordering and pricing policies for the non-instantaneous deteriorating items with maximum lifetime, when the market demand depends on the selling price. By analyzing theoretical results of the retailer’s profit functions per unit time, the retailer’s optimal solution would be derived. Based on the linear and exponential demand functions, it is apparent that for the deteriorating items with longer maximum lifetime or non-deterioration stage, the retailer would adopt a longer order cycle to accumulate sales revenue. Additionally, in the context of exponential demand function, when the market demand is relatively sensitive to the selling price, the retailer is more willing to sell out the deteriorating items within the non-deterioration stage by price promotion.

Study of Strategy Choice and Promotion Strategy of Regional Cooperative Emission Reduction

WANG Ming-yue, LIU Yu, ZHONG Chao, LI Meng-ming, SHI Wen-qiang

2019, 28(5):  35-45.  DOI: 10.12005/orms.2019.0101

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The regional cooperation is an effective way to achieve emission reduction targets. Thus, through the construction of intergovernmental mitigation evolutionary game model, this paper simulates the strategic selection evolution of local governments' independent emission reduction and cooperative emission reduction. The study finds that: (1)when the level of economic development of local government and external government is relatively low, whether it is independent emission reduction or cooperative reduction, reduction is the local government stability strategy, but the effect of mitigation is not significant; (2)In the case of independent emission reduction, when the economic level of one or both are raised to a certain degree, both emission and reduction, non-emission reduction or both non-emission reduction and emission reduction are stability strategy of the system; (3)In the case of cooperative emission reduction, when the synergistic income is less than the transaction costs, with the local government economic development, local government's emission reduction game will eventually evolve into the situation that one side reduces emission and the other does not. If the synergistic income is greater than the transaction cost, the optimization of resources is achieved, reducing the negative effects of carbon emissions, and improving the willingness of reduce emissions. At last, we suggest that through building up platforms for regional cooperation, stimulating local governments to reduce emissions and promoting low-carbon economy, synergies benefits can be improved or transaction costs can be reduced, and regional cooperation in emission reduction can be effectively reached, which are of great significance to achieving emission reduction targets.

Differential Game of Cooperation on Carbon Emission Reduction in Supply Chain Considering the Government Subsidy

WANG Dao-ping, WANG Ting-ting, ZHANG Bo-qing

2019, 28(5):  46-55.  DOI: 10.12005/orms.2019.0102

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By means of differential game theory, the dynamic coordination of long-term cooperative emission reduction in a supply chain composed of a supplier and a manufacturer is studied under the government subsidy policy. This paper establishes centralized and decentralized differential game models based on the demand of products which is affected by the carbon emission reduction of products, and also the cost-sharing contract is designed to coordinate the supply chain. Furthermore, the sensitivity analysis of parameters is conducted by using the numerical simulation method. The results show that the government subsidy provides effective incentives for cooperation on carbon emission reduction and helps the supply chain achieve coordination. It is also found that the carbon emission reduction effort of both the supplier and manufacturer, the carbon emission reduction as well as the demand of product are promoted by introducing the cost-sharing contract, and the coordination of the whole supply chain is well achieved. With the increase of supplier’s and manufacturer’s cost coefficient of carbon emission reduction factor and the self-decay rate of carbon emissions reduction, the carbon emission reduction of products presents a declining curve after introducing the contract. On the contrary, with the increase of both consumer’s low-carbon awareness and the sensitivity of carbon emission reduction on efforts factor, a rise can be seen on the carbon emission reduction of products.

A Two-Step Shapley Value for a Kind of Cooperative Games with Restricted Coalition Structure

WANG Li-ming

2019, 28(5):  56-60.  DOI: 10.12005/orms.2019.0103

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A kind of cooperative games with restricted coalition structure are discussed, in which players participate in the cooperation of the grand coalition through the priori unions as a whole and there are conjunctive permission structures within the priori unions. A solution to this kind of cooperative games is given by using the two-step Shapley value distribution idea and taking into account the limits of permission structure on cooperation within the priori unions. This solution can be seen as a generalization of the two-step Shapley value for games with coalition structures. The axiomatization conditions of the solution are proved, and the independence of these conditions is verified.

Multi-scenario Evolutionary Game Analysis of Local Governments’ Behavior Choice in Housing Regulation Policy

WU Guan-cen, CHEN Huan, XI Shan-shan

2019, 28(5):  61-70.  DOI: 10.12005/orms.2019.0104

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As a result of political promotion incentives, differences in the concept of governance and the impact of other cities, local governments have two strategies to stimulate the housing market and suppress the housing market in the choice of housing policies. Based on the evolutionary game perspective, the paper constructs the evolutionary game model of local governments, and analyzes the group behavior and development trend of local governments in housing regulation policies. Moreover, it studies the evolutionary stabilization strategy of housing market regulation under different scenarios and the key factors that influence the introduction of housing regulation policies by local governments. The results show that the local governments actively stimulate the housing market or suppress the housing market depending not only on the social risk costs, the economic losses, the economic benefits, the social welfare benefits, but also the value-added comprehensive benefits under suppressing the housing market of both local governments. At the same time, the final evolutionary results are also related to the initial state of the local governments.

Research on Project Safety Management Based on Evolutionary Game Theory

LIAO Jia, ZHOU Qiang

2019, 28(5):  71-76.  DOI: 10.12005/orms.2019.0105

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To reduce the frequency of safety accident and the losses of casualties and investors in the process of project construction, an evolutionary game model between constructor and supervisor is built to discuss the evolutionary stable strategy and influence factor in repeatedly game behavior in this paper, and an evolutionary path of the game is numerically verified with different initial conditions. The results show that the safety and stability of project are related to the strength of economic punishment, reputation loss, probability of accident, rectification fees, the constructor’s cost savings for breach of contract and the pay for the supervisor. Based on the analysis, several measures for project safety management are presented accordingly.

Risk Measurement and Portfolio Optimization between Independent Development and Cooperative Innovation

YU Qian, LIU Ya-qin

2019, 28(5):  77-83.  DOI: 10.12005/orms.2019.0106

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When they conduct independent development by integrating internal innovation elements, enterprises seek external innovation resources for cooperative innovation. Nowadays, being simultaneously engaged in multiple R&D projects has become a common business activity, and it’s significant for the long-term development of enterprise to analyze the strategy selection and risk optimization of multiple R&D projects under the condition of uncertainty. According to whether the enterprise takes cooperative innovation strategy, its R&D projects can be divided into two types of independent development and cooperative innovation. We take projects’ success rate and investment rate to represent technical risk and market risk, respectively measure the risk characteristics of independent development and cooperative innovation projects, and build the R&D project portfolio optimization model, thus striking a balance between independent development and cooperative innovation. The results show that, the optimal investment weights of independent development and cooperative innovation project portfolios mainly depend on their expected return rate, variance, expected success rate and covariance. The enterprise can work out an optimal strategy of R&D project portfolio based on the key parameters, and achieve the investment objective of risk minimization by allocating funds reasonably.

Research on the Pricing Strategies of Reverse Supply Chain with Dual Channels under Government Subsidy and Platform Publicity Investment

HOU Yan-hui, WANG Xiao-xiao, HAO Min, YU Hao, RAO Wei-zhen

2019, 28(5):  84-91.  DOI: 10.12005/orms.2019.0107

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This paper integrates online and offline recycling channels, and builds a reverse supply chain model in which the Internet recycling platform and dismantling companies compete for recycling and cooperative dismantling. By setting the recycling propaganda effect coefficient of the internet recycling platform, the purpose is to discuss the impact of government subsidizing the dismantling business and the recycling of Internet recycling platforms on pricing decisions and profits in the reverse supply chain. The research results show that the combination of the government’s high subsidies and the low publicity investment of the Internet recycling platform can improve the economic benefits of the Internet recycling platform and the dismantling business, and is better than the situation where only the government subsidizes the dismantling business. When the propaganda effect coefficient is small, the profit of the two is greater than the profit when there is no publicity investment under the smaller publicity investment; when the propaganda effect coefficient is large, the profit of the Internet recovery platform is an increasing function of the publicity investment, and the profit of the dismantlers appears to increase first and then decrease as the publicity investment increases.

Supply Chain Coordination Based on Incremental Profit Sharing Contract of Carbon Emission Reduction under Mandatory Carbon Emissions Capacity Scheme

XIA Liang-jie, LIU Hui, ZHANG Meng, YUAN Bai-yun, LI Yan

2019, 28(5):  92-98.  DOI: 10.12005/orms.2019.0108

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Carbon emission reduction increases the manufacturer’s cost, so that the manufacturer and retailer may improve the wholesale price and retail price respectively. Therefore, the market demand will be suppressed. Under the mandatory emissions carbon capacity scheme, this paper focuses on a supply chain consisting of one manufacturer and one retailer, and studies the channel members’ decision-making and channel coordination considering consumer low-carbon awareness. This paper provides an incremental profit sharing contract of carbon emission reduction to coordinate the decision making of the manufacturer and retailer and the Pareto improvement is achieved. Then, the paper adopts the Rubinstein bargaining model to determine the proportion of incremental profit sharing of emission reduction. The study finds that the contract can effectively improve the retailer’s order quantity and reduce the wholesale price. Consumer low-carbon awareness has a different impact on the profits of manufacturers and retailers under different carbon emission reduction rates. The manufacturer’s optimal profit increases with consumer low-carbon awareness. As consumer low-carbon awareness increases, the retailer’s optimal profit increases in case of high carbon emission reduction rates and decreases in case of low carbon emission reduction rates. Finally, the paper verifies the validity of carbon emission reduction profit sharing contract with numerical simulation.

Research on Credit Risk Factors of E-commerce in China Based on Bayesian Network

ZHANG He-bing, XI Xi, BAI Shi-zhen

2019, 28(5):  99-107.  DOI: 10.12005/orms.2019.0109

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Facing the risk events of slow development of e-commerce, disorder of e-commerce market and collapse of e-commerce industry which are all caused by e-commerce credit issues, this paper uses the Bayesian network theory to construct the credit risk network model of e-commerce in China, in order to analyze the impact of both sensitivity factors and key factors on risk events. The results are shown by using GeNie simulation software: three crucial credit risk factors are higher technical fraud, lower economic efficiency and lack of national regulatory effort; the five sensitivity factors are uneasy new comers, reduction of transaction willingness, higher technical fraud, lower economic efficiency and information asymmetry. The study shows that the change of the key factors of credit risk will result in the change of sensitivity factors in credit risk, thus leading risk events to happen at last.

Application Research

Total Warranty Demand Forecasting Considering the Repair Time

ZHANG Rui-jie, ZHONG Yuan-guang, XIE Wei

2019, 28(5):  108-116.  DOI: 10.12005/orms.2019.0110

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The manufacturers are forced to transit their operation models into a customer-centric mode by the fierce market competition. Thus, over the last 20 years, as the main factor that affects the customer satisfaction, the research of product warranty has become a focus issue for the academia. A good warranty service will save the company more operating costs. Therefore, for the new products being launched to the market, it is of great significance to accurately forecast the warranty demands for manufacturers to allocate funds properly. In the previous research, the forecasting models for warranty claims are limited to analyzing the total warranty cost of a product in the long-term sense, but ignoring the impact of product repair time and dynamic sales process on the product's total warranty demands and costs. To this end, we are focused on the repair demand and the impact of the repair time on the warranty demand forecasting. In the model, the non-homogeneous Poisson process is used to simulate the dynamic sales process of the product, and the staggered updating theory in the composite stochastic process is used to characterize the effect of the repair time on the overall warranty demand. Finally, the parameter analysis provides an important reference for enterprises to better manage warranty services.

Is Regional Industrial Development and Resource Endowment Synergistic? ——Based on Industry, Elements and Technical Resources

WANG Hong-yu, LIU Kan, FAN De-cheng

2019, 28(5):  117-123.  DOI: 10.12005/orms.2019.0000

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In the post-industrial era, through regional resource allocation optimization, promoting regional industrial development and improving industrial output efficiency and regional resource allocation efficiency have become a key issue. Based on the Cobb Douglas production function, using Cutting-edge Technical Efficiency Measurement and Industrial Input-output Analysis, we construct a model about the efficient measure of industrial production, study the role of regional resources in industrial development, and identify the technical efficiency of industrial development, the efficiency of regional industrial resource allocation and element resource allocation in various regions. The research can provide a theoretical guidance for the design of industrial development strategies and models. The results show that regional resource endowment is highly correlated with industrial development, and regional land, capital elements, government services and agricultural development have a significant effect on industrial development. However, the endowment of labor element and the development of the other industries(such as wholesale industry, construction industry, etc.)and out-of-region resource endowment have negative correlation with industrial development. Measuring different regions, we find that current industrial and resource endowments do not cooperate in some regions; industrial development does not make good use of regional resources and regional resource endowments fail to achieve the industry’s role in boosting. Moreover, regional resource endowment fails to promote industrial development. Therefore, based on the use of natural resources in different regions, we optimize the spatial layout of industrial development and the resource allocation model for industrial development. Furthermore, achieving rational industrial development can ensure efficient use of resources and promote stable and rapid economic growth.

Research on Stock Market Jump and Volatility Dynamics Based on Modified Realized Threshold Power Variance

GONG Xiao-li, XIONG Xiong

2019, 28(5):  124-133.  DOI: 10.12005/orms.2019.0112

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Based on the nonparametric statistical method, this paper uses the spot volatility estimation method of financial asset prices that cover jumps and leverage effects to modify the realized threshold power variation, and construct the test statistic of jumps. The issues of stochastic volatility in financial asset prices, finite activity jumps and infinite activity jumps are studied comprehensively. In order to incorporate the heteroskedasticity properties and clustering effects of volatility as well as asymmetric effects of returns, the original heterogeneous autoregressive forecasting model for realized volatility is extended and the error term of the asymmetric heterogeneous autoregressive model is set as the GARCH model so as to examine the complex relationships between the jump series and the continuous volatility series. This paper uses the high frequency data of Shanghai and Shenzhen stock indexes to conduct empirical researches, which include jumps recognition, the degree of jump activity test and volatility prediction. The results show that there are both Brownian motion components, finite active jump and infinite active jump components in Shanghai and Shenzhen stock markets, and the continuous path variance is dominant. At the same time, the leverage effects between returns and volatility is significant. Both short-term and long-term volatility have significant effects on future volatility predictions, and taking into account stock jumps, volatility and leverage effects will better characterize assets price dynamic process.

Does Liquidity Improve Returns on Arbitrage? ——Evidence from the Chinese Stock Market

WANG Chun-feng, LI Si-cheng, FANG Zhen-ming

2019, 28(5):  134-142.  DOI: 10.12005/orms.2019.0113

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Using the increasingly important Chinese market as a case study, this paper provides an in-depth analysis of the relationship between market liquidity and the profitability of arbitrage transactions for emerging markets. After controlling three Fama-French factors, evidence based on the Chinese stock market shows that expected returns on arbitrage increase as market liquidity rises. These results indicate that market mispricing due to market anomalies is not corrected for by investor arbitrage despite the occurrence of liquidity improvements. This condition reflects the characteristics of an immature market and the presence of arbitrage inefficiency. In addition, the paper considers factors that may influence these findings for the Chinese market, such as liquidity risk and time-varying risk exposure. The results of these additional studies support our previous conclusions.

Design of the Mechanism of Avoiding Strategic Defaults in Group Lending

ZHANG Wan-ting, HE Ping, XU Xiao-yan

2019, 28(5):  143-148.  DOI: 10.12005/orms.2019.0114

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In this paper, focusing on the problem of strategic default, by analyzing the causes of the problems and discussing the countermeasures presented by published documents, a flexible group lending contract is designed. The characteristics of this contract lie in the fact that the available expected utility of enterprises increases along with the increase of the joint liability which enterprises are willing to bear, aiming at positively motivating the enterprises to be liable for repayment of their companions actively, thus realizing the purpose of avoiding strategic defaults. By numerical analyses, the characteristics and scope of application of the flexible contract are tested and verified. Moreover, from discussion under the dual-company pattern, the application conditions of the flexible contract under multiple-company pattern are discussed.

Empirical Research into the Psychological Activity Dimension of Basic Pension Insurance: From the Perspective of Individual Mental Accounting

LIU Xiao-feng

2019, 28(5):  149-155.  DOI: 10.12005/orms.2019.0115

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From the perspective of mental accounting theory, through questionnaires and non-aggregate model, this paper conducts an empirical study of the dimension of individual basic endowment insurance payment psychological activities. The results show that education level, unconventional extra income, operating income, security account and risky storage account are the key factors affecting payment. Then, the paper proposes to guide the establishment of specific payment mental accounting, enhance the flexibility of payment system, change the selection framework of contributors, and enhance the payment rate.

Research on Measurement and Promotion Path of Technology Innovation Efficiency of Regional High-tech Industry ——Based on Relational Two-stage DEA Model with Shared Inputs

FAN De-cheng, LI Sheng-nan

2019, 28(5):  156-165.  DOI: 10.12005/orms.2019.0116

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This paper divides the innovation process into the two stages: technology R&D and economic transformation. Considering the impact of initial innovation resources shared in the two stages, non R&D investment and expenditure on new products development on innovation output, it constructs the relational two-stage DEA model with shared inputs. Then the model is used to measure the overall efficiency and the two-stage efficiency of technology innovation of high-tech industries in 30 regions of China during 2013~2015. The results show that the initial innovation investment of regional high-tech industry has an impact on R&D outputs and economic outputs; the overall efficiency and two-stage efficiency of technology innovation of high-tech industries are low, and there is a big gap between regions. The technology R&D efficiency is higher than the overall efficiency, while the economic transformation efficiency is lower than the overall efficiency. At last, according to the two-stage efficiency and their weights in the overall efficiency of technology innovation in high-tech industry, the regions are reclassified. And then this paper puts forward several ways to improve the efficiency of technological innovation, such as unilateral breakthrough, two-way coordination, etc.

Management Science

Productivity Difference and the Entry Mode Choice of Enterprises’ Outward Foreign Direct Investment

YE Guang-yu , HABIBULLA Halpitim

2019, 28(5):  166-174.  DOI: 10.12005/orms.2019.0117

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Based on the evolutionary game theory, this paper investigates, from the perspective of firm heterogeneity, the influence mechanism of the difference in total factor productivity between the two parties of cross-border M&A on the enterprises’ OFDI entry strategy selection, when they go global through OFDI. The Hotelling model is used to construct the OFDI entry strategy game model of capital-intensive enterprises and labor-intensive enterprises, and discuss the variation process of enterprises’ OFDI entry mode decision under the change of productivity difference between the two parties of M&A. Our results show that when the productivity difference between the two parties of cross-border M&A is small, the market reaches an evolutionary stable state: both types of enterprises tend to choose the cross-border M&A strategy; When the productivity difference between the two parties becomes larger, the density and structure of enterprises’ production factor play an important role in the decision-making of their OFDI entry mode choices, and the capital-intensive enterprises with higher knowledge or technology intensity and some labor-intensive enterprises with strong competitiveness still prefer cross-border M&A strategy, while the rest of labor-intensive enterprises choose green-field investment mode to enter the international market. This implicates that the enterprises’ OFDI entry strategy choices differ due to the different density and structure of production factors in the industry which they belong to. To some extent, our findings contribute to the existing related literature, and provide a certain theoretical reference for the future research on this topic.

Research on the Labor Market Cooperation Alliance under the Background of AI

SHAO Quan, ZHAO Shi, LIU Na, FENG Kai

2019, 28(5):  175-181.  DOI: 10.12005/orms.2019.0118

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The application of AI technology in the workplace for labor supervision poses a new challenge to the construction and development of harmonious labor relations. Firstly, this paper suggests that the incomplete information environment is the main source of the disharmony of labor relations. Secondly, under the background of AI, the labor cooperation alliance composed of government, enterprises and employees is formed, and the classical Shapley Value method is used to allocate the benefits of the work alliance, to realize the Pareto efficiency of the alliance. Finally, an example is given to illustrate the necessity of forming a sustainable and stable labor union based on the government, enterprises and employees in the social labor relations under the background of AI. It can effectively solve the moral and ethical problems caused by AI labor supervision and distribute the social benefits of the alliance more fairly.

Evolutionary Trends of Knowledge Sharing Hostility in Master-apprentice Pattern

WANG Rui-hua, LV Yong-bo

2019, 28(5):  182-189.  DOI: 10.12005/orms.2019.0119

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As an important way of knowledge transfer within organizations, especially tacit knowledge transfer, the knowledge sharing in the mater-apprentice pattern exists in the form of knowledge sharing hostility, including knowledge hoarding behavior and knowledge rejection behavior. On the analysis of utility of knowledge sharing hostility in the mater-apprentice pattern, we use replicator dynamics of the asymmetric evolutionary game theory to study the development trajectory of knowledge sharing hostility in the mater-apprentice pattern. When the negative utility of the master’s knowledge hoarding is greater than the positive utility, the negative utility of the apprentice’s knowledge rejecting is greater than the costs, and the organization can get the largest utility from the knowledge sharing in the mater-apprentice pattern, through governing knowledge sharing hostility in the mater-apprentice pattern. Establishing certain incentive mechanism can reduce the knowledge sharing hostility behavior in the mater-apprentice pattern significantly.

Study on Trans-regional Synergy on Industrial Chain of High-tech Manufacturing Industry Based on the Input-output Model: In the Perspective of New Generation of Information Technology Industry in Hubei-Hunan-Jiangxi

WAN Ke, LIU Yao-bin, HUANG Xin-jian

2019, 28(5):  190-195.  DOI: 10.12005/orms.2019.0120

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In order to study trans-regional synergy on industrial chain of new generation of information technology(NGIT)industry in Hubei-Hunan-Jiangxi, this paper firstly quantitatively analyzes both direct-related and indirect-related industries from backward and forward of NGIT industry with an input-output model, builds the industrial chain of NGIT industry from which the key industry sectors of it is obtained. Then, with matrix F, which is the average of Ghosh inverse matrix and Leontief inverse matrix, both cost-pushing effect and demand-pulling effect between the main interrelated sectors of the industrial chain in Hubei-Hunan-Jiangxi can be measured. Base on this, the degree of correlation of NGIT industry chain among Hubei, Hunan and Jiangxi with Average Propagation Length method is calculated. Finally, this paper puts forward the corresponding countermeasure proposals of synergetic development of NGIT industry in Hubei-Hunan-Jiangxi based on industrial chain.