scholarly journals Profit Distribution and Stability Analysis of Joint Distribution Alliance Based on Tripartite Evolutionary Game Theory Under the Background of Green and Low-Carbon

Author(s):  
Renbin Han ◽  
Mengke Yang

Abstract Joint distribution is an advanced logistics organization model for improving the quality and efficiency of express logistics industry and achieve high-quality development of logistics, but the distribution of common profit has always been a key obstacle to the effective development of joint distribution. Based on the background of green and low-carbon, this paper explores a fairer and more reasonable profit distribution scheme. The profit game between the government and the two types of member enterprises is analyzed. By focusing on how the government plays a role in inducing the joint distribution alliance to bring the green and low-carbon requirements into the profit distribution, the strategy evolution process of the three parties, the factors affecting the profit distribution and the stability of alliance are discussed through the establishment of "government-member enterprise A-member enterprise B" tripartite evolutionary game model. Finally, the evolutionary game model is numerically simulated based on system dynamics. It is found that: (1) It is necessary for the government to guide and motivate the alliance to create internal incentives and constraints. The effect of government subsidies and rewards to member enterprises is greater than the penalties for member enterprises. (2) The member enterprises are likely to conspire together to defraud government subsidies and rewards, carry out "free riding" and other speculative activities, which makes it necessary for the government and the alliance to establish supervision mechanism, information disclosure mechanism, and property rights protection system. (3) The willingness of member enterprise to positively cooperate will increase with the increase of the additional benefit coefficient, the proportion of profit distribution and the importance of environmental benefit factor; and will decrease with the increase of the cost of promoting green distribution operations.

2019 ◽  
Vol 11 (22) ◽  
pp. 6232 ◽  
Author(s):  
Na Zhang ◽  
Xiangxiang Zhang ◽  
Yingjie Yang

Urban joint distribution is closely related to the national economy and people’s livelihood, and governments and enterprises play an active role in the process of urban joint distribution. From the perspective of government regulations, this paper explores the mechanism and evolution law of the behavior of an urban joint distribution alliance. Based on the evolutionary game theory, a model of homogeneous enterprises participating in urban joint distribution operations under the guidance of government regulations is constructed. The mechanism and follow-up of alliance behavior are analyzed through the simulation of the relationship between parameters. It is found that, firstly, from the perspective of government regulations, in the early stage of the implementation of urban joint distribution projects, when the benefits of synergetic cooperation of enterprise alliances are relatively low and the costs are relatively high, it is necessary for the government to formulate incentive policies to improve government subsidies or to increase the penalties for non-cooperation of enterprises; Once a benign logistics environment and market mechanism are formed, the cooperation benefits increase, and the costs decrease, the government can then withdraw its supervision. Secondly, in the process of establishing urban joint distribution alliance under government supervision, it is better for the enterprises to actively achieve alliance cooperation and obtain government subsidies instead of passively accepting government supervision and paying penalties, in order to promote the formation of logistics ecological environment and market mechanism.


2011 ◽  
Vol 219-220 ◽  
pp. 736-741
Author(s):  
Ye Zhou ◽  
Hui He ◽  
Yan Feng Wang

The emission of greenhouse gases leading to global climate warming has caused widespread concern on the part of governments worldwide. As one of the main sources of carbon emissions, modern logistics occupies a unique position for energy saving. But as economic entities, logistics enterprises have no real incentive to implement low-carbon logistics operations, which needs government to stimulate logistics enterprises to implement low-carbon strategy through regulations. Constructed an Evolutionary Game Model for logistics enterprises to implement low-carbon selection decision under the supervision of the government, analyzed the effcts of different regulative parameters on the implementation of low-carbon strategy in logistics business. The results show that government's regulation and strategies play a crucial role in carrying out the low-carbon strategy. Finally, according to different evolution conditions and conclusions, it proposes appropriate supervision strategies for government to promote logistics enterprises to put the low-carbon strategy into effect.


2019 ◽  
Vol 12 (1) ◽  
pp. 175 ◽  
Author(s):  
Zijing Liang ◽  
Yung-ho Chiu ◽  
Xinchun Li ◽  
Quan Guo ◽  
Yue Yun

Under the low-carbon background, with the aid of the Malmquist–Luenberger SBM (Slack-based Measure) model of unexpected output, the green total factor productivity (GTFP) of the logistics industry in Jiangsu Province, China, was measured and decomposed in this study based on the reality and experience of logistics industry development in 13 cities in three regions of Jiangsu Province in the years 2006–2018 by taking resource consumption into the input system and discharged pollutants into the output system. It is concluded that the environmental regulation (ER) has a significant positive effect on the growth of the GTFP of the logistics industry, and technological progress has become an important endogenous force that promotes the GTFP of the logistics industry in Jiangsu Province. On this basis, a dynamic GMM (Generalized method of moment) model and a Tobit model were constructed to further study the possible temporal and spatial effects of ER on the GTFP of the logistics industry. The research results reveal that the ER can exert both promoting and inhibitory effects on the GTFP of the logistics industry, and there is a temporal turning point for the effects. Besides, the effects notably differ spatially and temporally. Finally, some policies and advice for the green sustainable development of the logistics industry were proposed. For example, the government and enterprises should pay attention to the green and efficient development of the logistics industry and dynamically adjust the ER methods. They should consider the greening of both forward logistics links and reverse logistics system in the supply chain.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Haifeng Yao ◽  
Jiangyue Fu

Vigorous implementation of industrial poverty alleviation is the fundamental path and core power of poverty alleviation in impoverished areas. Enterprises and poor farmers are the main participants in industry poverty alleviation. Government supervision measures regulate their behaviors. This study investigates how to smoothly implement industry poverty alleviation projects considering government supervision. A game model is proposed based on the evolutionary game theory. It analyses the game processes between enterprises and poor farmers with and without government supervision based on the proposed model. It is shown that poverty alleviation projects will fail without government supervision given that the equilibrium point (0, 0) is the ultimate convergent point of the system but will possibly succeed with government supervision since the equilibrium points (0, 0) and (1, 1) are the ultimate convergent point of the system, where equilibrium point (1, 1) is our desired results. Different supervision modes have different effects on the game process. This study considers three supervision modes, namely, only reward mode, only penalty mode, and reward and penalty mode, and investigates the parameter design for the reward and penalty mode. The obtained results are helpful for the government to develop appropriate policies for the smooth implementation of industry poverty alleviation projects.


2021 ◽  
Vol 9 ◽  
Author(s):  
Luosong Jin ◽  
Cheng Chen ◽  
Yun Li ◽  
Xiangyang Wang ◽  
Yuanyuan Cheng

In this paper, we aim to analyze how to effectively promote compliance management in the electricity market. We construct an evolutionary game model under the two different scenarios, i.e., the scenario without governmental supervision and the scenario with governmental supervision, and explicitly describes the strategic behaviors and dynamic evolution process of power enterprises and regulators in the power market. According to the results of the evolutionary stable strategy, we find that, in the absence of governmental supervision, the long-term stable equilibrium of power enterprises' choice of strategy “Compliance” and regulatory agencies' choice of strategy “Not bribery” is hard to be realized. Only if the government effectively supervises the compliance management of the electricity market can the ideal compliance behavior of the two stakeholders be achieved. Furthermore, we conduct a simulation study to analyze the impacts of the various model parameters on the dynamic evolution process. The specific results show that the lower compliance cost, the higher psychological cost, and the larger profit loss of the power enterprises, as well as the lower inspection cost, the higher psychological cost, and the larger rewards of the regulatory agencies, can promote the formation of compliance management. Besides, the larger penalty charged by the government is also conducive to the compliance management of the electricity market.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Guiju Zhu ◽  
Jialing Li ◽  
Yi Zhang ◽  
Haiyun Liu

Taking government environmental regulation and consumer’s green preference into a unified analytical framework, this study constructed a differential game model. With the joint effect of supplier and manufacturer green innovation efforts on the dynamic change of the product’s green level, it compared and analyzed the long-term dynamic equilibrium strategies of green innovation cooperation in a supply chain under decentralized and centralized decision-making situations. Accordingly, a scientific and reasonable profit-distribution contract was then proposed. On this basis, it further carried out a numerical simulation analysis on the dual-driving effects of the government and market. The results showed that the scientific and reasonable profit-distribution contract under the centralized decision-making situation, which was designed by using the Rubinstein bargaining game model, could effectively ensure that the supply chain members’ sharing profits would realize "Dual Pareto Improvements." With the increase of the environmental regulation’s intensity, the product’s green level kept rising and tended to be stable. However, the overall equilibrium profit of the supply chain was characterized by "U" fluctuation, which first descended and then ascended. In addition, the product’s green level, the green innovation investment and equilibrium (distributed) profits of supply chain members, and the overall profits of supply chain all increased with the consumers’ green preference.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yongquan Guo ◽  
Hua Zou ◽  
Zhu Liu

The application of green technologies can reduce environmental hazards and promote sustainability. The connotation of green technology innovation has two main aspects: the first aspect is the generation of green technology from nothing to something, and the other aspect is the improvement and upgrading of existing green technology; these two aspects are related. However, from the existing research, there are relatively few studies on the process of green technology innovation from these two aspects at the same time. If green technology is not studied from this perspective, the evolutionary process and influencing factors of green technology from generation to development cannot be clarified, which is not conducive to the development of green technology and the realization of the goal of environmental friendliness. Research considers the green innovation process from R&D to upgrading linkages and analyses the roles of government departments, green technology R&D institutions, and green technology application enterprises in green technology innovation. In addition, the green technology application enterprises are considered to promote technology enhancement through technology application feedback with green technology R&D institutions. The evolutionary game model of three subjects was established, the strategic evolution process of different subjects was analyzed, the influence of each element on the strategic choice of different subjects was explored, and the stability analysis of strategic choice was conducted using simulation software. The study shows the following: (1) The greater the government’s punishment and support to green technology R&D institutions, the more favorable it is for green technology R&D institutions to carry out green technology R&D. (2) In green technology applications, if the government has no direct interest relationship with green technology application enterprises, the enterprises will choose negative response behavior. (3) The greater the technology enhancement gains of green technology R&D institutions and the greater the feedback gains of technology applications actively carried out by enterprises in response to the government’s call, the more the government departments tend to support green technology R&D.


2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Yingying Xu ◽  
Liangqun Qi ◽  
Xichen Lyu ◽  
Xinyu Zang

Collaborative innovation networks have the basic attributes of complex networks. The interaction of innovation network members has promoted the development of collaborative innovation networks. Using the game-based theory in the B-A scale-free network context, this paper builds an evolutionary game model of network members and explores the emergence mechanism from collaborative innovation behavior to the macroevolution of networks. The results show that revenue distribution, compensation of the betrayer, government subsidies, and supervision have positively contributed to the continued stability of collaborative innovation networks. However, the effect mechanisms are dissimilar for networks of different scales. In small networks, the rationality of the revenue distribution among members that have similar strengths should receive more attention, and the government should implement medium-intensity supervision measures. In large networks, however, compensation of the betrayer should be attached greater importance to, and financial support from the government can promote stable evolution more effectively.


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