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Due to growing concerns for environmental problems and food quality, consumers pay more attention to the carbon emission and freshness of fresh food. The booming e-commerce also accelerates the development of the dual-channel supply chain. In the dual-channel supply chain of fresh food, the carbon emission and freshness of fresh food are becoming important factors affecting consumers’ purchase demand. This paper focuses on the optimal decision of carbon emission reduction and pricing, which is investigated by a Stackelberg game-theoretic approach in three dual-channel supply chain sales models (retailer dual channel, producer dual channel, and mixed dual channel). A two-stage fresh food supply chain system composed of a producer and a retailer is explored. The sensitivity analysis and the comparison of three dual-channel models are carried out. The results show the following: (1) the sales price, carbon emission reduction, market demand, producer’s profit, retailer’s profit, and supply chain’s profit of fresh food under the three dual-channel supply chains show the same change on different levels of consumers’ low-carbon preference coefficient and freshness level, respectively; (2) the optimal decision of carbon emission reduction and pricing, demand, and profit of the three dual-channel models need to be determined according to the value of consumers’ purchasing preferences for the retailer’s offline channel. The paper gives some enlightenment to the decision-making members in the fresh dual-channel supply chain.
Jingci Xie; Jianjian Liu; Xin Huo; Qingchun Meng; Mengyu Chu. Fresh Food Dual-Channel Supply Chain Considering Consumers’ Low-Carbon and Freshness Preferences. Sustainability 2021, 13, 6445 .
AMA StyleJingci Xie, Jianjian Liu, Xin Huo, Qingchun Meng, Mengyu Chu. Fresh Food Dual-Channel Supply Chain Considering Consumers’ Low-Carbon and Freshness Preferences. Sustainability. 2021; 13 (11):6445.
Chicago/Turabian StyleJingci Xie; Jianjian Liu; Xin Huo; Qingchun Meng; Mengyu Chu. 2021. "Fresh Food Dual-Channel Supply Chain Considering Consumers’ Low-Carbon and Freshness Preferences." Sustainability 13, no. 11: 6445.
Green innovation is the primary determinant of green supply chain development. To encourage enterprises of the supply chain to consciously execute green innovation, the government often adopts targeted innovation subsidy strategies. In this paper, three types of innovation subsidy scenarios are considered, and, for generality, consumers are categorized as green and non-green, with the following conclusions obtained from the game analysis. (1) At the supply chain level, the government tends to subsidize the core manufacturer instead of subsidizing both the manufacturer and upstream supplier. (2) When the government subsidizes the manufacturer, the entire supply chain can be stimulated by the internal incentive in the supply chain to implement green innovation, which is conducive to environmental and economic benefits as well as social welfare. (3) As the level of government subsidy for green innovation and the proportion of green consumers increase, the government is more willing to subsidize the manufacturer, which can lead to the improvement of environmental and economic benefits along with social welfare. These findings shed light on why the government is keen on subsidizing the manufacturer at the supply chain level.
Qingchun Meng; Yingtong Wang; Zheng Zhang; Yongyi He. Supply chain green innovation subsidy strategy considering consumer heterogeneity. Journal of Cleaner Production 2020, 281, 125199 .
AMA StyleQingchun Meng, Yingtong Wang, Zheng Zhang, Yongyi He. Supply chain green innovation subsidy strategy considering consumer heterogeneity. Journal of Cleaner Production. 2020; 281 ():125199.
Chicago/Turabian StyleQingchun Meng; Yingtong Wang; Zheng Zhang; Yongyi He. 2020. "Supply chain green innovation subsidy strategy considering consumer heterogeneity." Journal of Cleaner Production 281, no. : 125199.
Closed-loop supply chain value co-creation research has attracted attention from numerous scholars but is rarely discussed in terms of the electronics industry. As such, the impact of cross-shareholding on value co-creation remains unclear. This paper integrates value co-creation and cross-shareholding into the electronics closed-loop supply chain. Stackelberg Game and bi-level programming are used to build the model of electronics closed-loop supply chain value co-creation considering cross-shareholding between the manufacturer and retailer. The impact of cross-shareholding on value co-creation is revealed through comparative static analysis. The case of consumer electronics products is adopted to execute numerical analysis and simulation. It is found that: (1) value co-creation includes not only the concern of the manufacturer for consumer value, but also consumer participation in value creation; (2) increasing cross-shareholding ratios leads to an increase in values of the closed-loop supply chain and each party (the manufacturer, retailer, remanufacturer, and consumers) while it also promotes consumer participation in value creation if such ratios are conducive to reducing the manufacturer’s unit production cost of using remanufactured parts, as well as the retailer's unit environmental cost, and when controlling for the concern extent of the manufacturer for consumer value; (3) optimal cross-shareholding ratios should allow for Pareto improvement of values of the closed-loop supply chain and each party.
Shen Zhang; Qingchun Meng. Electronics closed-loop supply chain value co-creation considering cross-shareholding. Journal of Cleaner Production 2020, 278, 123878 .
AMA StyleShen Zhang, Qingchun Meng. Electronics closed-loop supply chain value co-creation considering cross-shareholding. Journal of Cleaner Production. 2020; 278 ():123878.
Chicago/Turabian StyleShen Zhang; Qingchun Meng. 2020. "Electronics closed-loop supply chain value co-creation considering cross-shareholding." Journal of Cleaner Production 278, no. : 123878.
For daily airport operations, the insufficient number and the improper scheduling of ground support vehicles are the main causes of flight delays. In this paper, a novel network model is proposed to complement the optimal scheduling of ferry vehicles for the flight ground support service. In the process of model construction, we first innovatively construct a ferry vehicle capacity network by having the introduced virtual flights and the ferry vehicle depot as nodes, in which the directed edges indicate that the two nodes associated may be consecutively served by the same ferry vehicle. Based on the capacity network, a mixed integer programming model is constructed to minimize the number of ferry vehicles needed. In addition, this paper shows that the mixed integer programming is equivalent to a linear programming when the service start time of each flight is fixed, which makes the solving process more efficient, and the linear programming model can be applied to solve the minimum node-disjoint path cover of directed acyclic graphs. The efficiency and accuracy of the method are validated by the actual flight data obtained from Beijing Capital International Airport. This study will provide a methodological reference for the optimal scheduling of airport ferry vehicles.
Xue Han; Peixin Zhao; Qingchun Meng; Shengnan Yin; Di Wan. Optimal scheduling of airport ferry vehicles based on capacity network. Annals of Operations Research 2020, 295, 163 -182.
AMA StyleXue Han, Peixin Zhao, Qingchun Meng, Shengnan Yin, Di Wan. Optimal scheduling of airport ferry vehicles based on capacity network. Annals of Operations Research. 2020; 295 (1):163-182.
Chicago/Turabian StyleXue Han; Peixin Zhao; Qingchun Meng; Shengnan Yin; Di Wan. 2020. "Optimal scheduling of airport ferry vehicles based on capacity network." Annals of Operations Research 295, no. 1: 163-182.
Synergetic development is the basis and means for the sustainable development of regional economies. Research on the synergetic economic relationship between cities and the exposure of the internal structure and evolution mechanisms of the Urban Economic Synergetic Development Network (UESDN) in the context of industrial agglomeration promote the construction and sustainable development of such a system. Industrial agglomeration not only affects the spatial distribution of industrial structures and enterprise activities but also causes differences in city positions. Using input–output theory, this study constructed a UESDN for China in 2005, 2010, and 2015, and employed social-network analysis to analyze the spatial and temporal evolution characteristics of China’s synergetic development pattern. The degree centrality, betweenness centrality, and cohesive subgroups of the UESDN were computed using models in complex-network theory. This study found that the synergetic development pattern of Chinese urban economies has gradually developed from the hub-spoke model focused on Eastern provincial capitals to the network model of eastern and central cities over the period of 2005–2015. A few key cities act as intermediaries that carry economic factors with the shortest path in the UESDN. The Yangtze River economic belt, the axis belt of the Eastern coast and that of the Western economic belt were gradually formed. The number and strength of the correlation between cities within the subgroups have also continually increased. In our conclusion, we offer some suggestions for establishing a system of synergetic development between cities to improve urbanization levels.
Chengwei Wang; Qingchun Meng. Research on the Sustainable Synergetic Development of Chinese Urban Economies in the Context of a Study of Industrial Agglomeration. Sustainability 2020, 12, 1122 .
AMA StyleChengwei Wang, Qingchun Meng. Research on the Sustainable Synergetic Development of Chinese Urban Economies in the Context of a Study of Industrial Agglomeration. Sustainability. 2020; 12 (3):1122.
Chicago/Turabian StyleChengwei Wang; Qingchun Meng. 2020. "Research on the Sustainable Synergetic Development of Chinese Urban Economies in the Context of a Study of Industrial Agglomeration." Sustainability 12, no. 3: 1122.
As an important approach of achieving sustainable development, green production plays a significant role in improving the ecological environment and total social welfare. In order to clarify the impacts of green production on social welfare favorably, this paper assumes that there are two types of consumers in the market: the green and the brown. Green consumers have green preference, focusing on the environmental and physical attributes of products; while brown consumers only value the physical attributes. We have obtained some intriguing conclusions through the use of the Hotelling model, as follows: (i) The total social welfare will benefit from green production. Meanwhile, we also find that the social welfare is likely to reach the highest value in scenario BG (i.e., both enterprises implement green production) or scenario SG (i.e., only one enterprise implements green production). (ii) Moreover, the total social welfare is always positively related to the degree of consumer green preference and unit of environmental benefit parameters in scenario SG and scenario BG. (iii) Finally, in scenario BG, the proportion of green consumers has a positive effect on the total social welfare, while only when certain conditions are satisfied, the higher proportion of green consumers will benefit the social welfare in scenario SG. Our findings can provide useful managerial insights for policy-makers in the development of green production.
Zheng Zhang; Yingtong Wang; Qingchun Meng; Xinyang Luan. Impacts of Green Production Decision on Social Welfare. Sustainability 2019, 11, 453 .
AMA StyleZheng Zhang, Yingtong Wang, Qingchun Meng, Xinyang Luan. Impacts of Green Production Decision on Social Welfare. Sustainability. 2019; 11 (2):453.
Chicago/Turabian StyleZheng Zhang; Yingtong Wang; Qingchun Meng; Xinyang Luan. 2019. "Impacts of Green Production Decision on Social Welfare." Sustainability 11, no. 2: 453.
This study presents a framework for estimating the value of response time and quantifying the economic impacts of improved responsiveness and increased service capacity in emergency response systems. In these systems, the value of response time, defined as the number of casualties rescued, forms the basis for understanding the value proposition of the emergency system. Efficiency gains from improved responsiveness are calculated by the difference in the time value function, considering the medical department emergency system as a benchmark. Based on the evaluating systems for welfare gains from price changes, this study will be the first of its kind to adopt the compensating variation method to deal with welfare gains from increased emergency service capacity, while the issue of number of casualties rescued forms the log-linear function of emergency service capacity and supply capacity. Two civil aviation accidents are empirically estimated, illustrating our approaches with specific civil aviation accident cases and examining how other parameters affect improved performance from the responsiveness and welfare arising from service capacity.
Ying Guo; Shen Zhang; Zhen Zhang; Qingchun Meng. Estimating Added Values of the Integrated Emergency Response System for Airport Accident: Improved Responsiveness and Increased Service Capacity. Mathematical Problems in Engineering 2018, 2018, 1 -13.
AMA StyleYing Guo, Shen Zhang, Zhen Zhang, Qingchun Meng. Estimating Added Values of the Integrated Emergency Response System for Airport Accident: Improved Responsiveness and Increased Service Capacity. Mathematical Problems in Engineering. 2018; 2018 ():1-13.
Chicago/Turabian StyleYing Guo; Shen Zhang; Zhen Zhang; Qingchun Meng. 2018. "Estimating Added Values of the Integrated Emergency Response System for Airport Accident: Improved Responsiveness and Increased Service Capacity." Mathematical Problems in Engineering 2018, no. : 1-13.
In this study, the effects of open innovation practices on enterprise value were discussed based on the supply chain perspective. A nonlinear programming mode was constructed considering the uncertainty of open innovation effect. On this basis, the prototype was analyzed using a robust optimization approach with comprehensive considerations to the infeasible probability of constraint and goal accuracy. Findings show that parameter \(\Gamma \) could convert the nonlinear programming model with uncertainty into a robust model with a strong stability. Furthermore, \(\Gamma \) could be used to regulate the preference of the manufacturer to profit and the uncertainties in innovative practices. A small \(\Gamma \) indicates manufacturers can refer to more information, and the manufacturers are more inclined to a mass production, so the profit is larger. Meanwhile, a high \(\Gamma \) means that manufacturers can refer to less information, so that they pay more attention to making the product output adapt to the uncertainty of innovative effect. Manufacturers could select the appropriate \(\Gamma \) value and reasonably arrange the production outputs of different goods according to the technological level of open innovation subject and their preference to profit and uncertainty. These conclusions were verified by a case study. In this work, the uncertainty of the open innovation effect was investigated from the supply chain perspective, which is of important significance to the decision making on optimal supply chain output and innovation risk control under an uncertain environment.
Xiaole Wan; Tingting Hao; Xiaoxia Rong; Qingchun Meng. The robust analysis of supply chain based on uncertainty computation: insight from open innovation. Cluster Computing 2017, 22, 10009 -10018.
AMA StyleXiaole Wan, Tingting Hao, Xiaoxia Rong, Qingchun Meng. The robust analysis of supply chain based on uncertainty computation: insight from open innovation. Cluster Computing. 2017; 22 (S4):10009-10018.
Chicago/Turabian StyleXiaole Wan; Tingting Hao; Xiaoxia Rong; Qingchun Meng. 2017. "The robust analysis of supply chain based on uncertainty computation: insight from open innovation." Cluster Computing 22, no. S4: 10009-10018.