Regulatory pressure and consumer environmental awareness in a green supply chain with retailer responsibility: A dynamic analysis

Author(s):  
Susu Cheng ◽  
Fan Zhang
Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Junjie Ma ◽  
Wenchao Yu ◽  
Shuxia Li ◽  
Linghong Zhang ◽  
Shaobin Zang

This paper develops a two-echelon green supply chain that consists of one green manufacturer and one retailer. The green manufacturer has both online direct and offline retail channels. Considering manufacturer’s risk attitude and product’s green level, the paper constructs centralized and decentralized game models when the online channel’s demand is uncertain. Furthermore, this paper analyzes the impacts of a set of factors, including consumer environmental awareness (CEA), product green level, and risk attitude on decision-making in the supply chain. Finally, we present numerical examples. The main findings are as follows: the manufacturer and the retailer will benefit from the improvement of CEA; hence, they could invest more to obtain more profits by improving CEA; manufacturer’s risk attitude has a negative impact on the pricing and profits of the supply chain; as such, the members of the supply chain should improve the accuracy of their demand forecast, so as to minimize risks and losses resulting from uncertainty in demand.


2011 ◽  
Vol 08 (02) ◽  
pp. 315-336 ◽  
Author(s):  
MINHAJ AHEMAD ABDUL REHMAN ◽  
RAKESH L. SHRIVASTAVA

Green supply chain management (GSCM) comprises of the Manufacturing process that minimizes waste and pollution. It also integrates environmental thinking into supply chain management; from conceptual product design to the delivery of final product to the consumers, and also involves end-of-life management. Many business organizations have implemented GSCM and many more are in the process to put into practice. Its implementation is supported by few factors which are known as GSCM drivers. These drivers could assist in adoption of Green supply chain management. The aim of this paper is to develop a relationship amongst the identified GSC drivers; including management commitments, regulatory pressure etc. This paper is also helpful in understanding mutual influences of drivers, it helps in identifying those drivers which support other drivers as well as those drivers which are most influenced by other drivers (dependent) using interpretive structural modeling (ISM) and it classifies these drivers depending upon their driving and dependency on power.


2019 ◽  
Vol 217 ◽  
pp. 197-210 ◽  
Author(s):  
Daqiang Chen ◽  
Joshua Ignatius ◽  
Danzhi Sun ◽  
Shalei Zhan ◽  
Chenyu Zhou ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Jian Liu ◽  
Chao Hu

Carbon tax policy has been shown to be an effective incentive for the reduction of carbon emissions, and it also profoundly influences supply chain cooperation. This paper explores the interaction between carbon taxes and green supply chain cooperation. Specifically, we analyze the impact of a carbon tax on green supply chain coordination and further optimize the carbon tax to achieve a win-win situation for both the supply chain and the environment. Because consumer’s behavior has a significant impact on green product demand, we consider the problems above under two types of consumer’s behavior characteristics: consumer’s environmental awareness and consumer’s reference behavior. A game-theoretic model is employed to describe a green supply chain consisting of a manufacturer and a retailer, combining important factors such as the carbon tax rate, green investment coefficient, and degree of reference effect. Then, we obtain the optimal carbon tax rate by balancing the total tax revenue and product greenness. A revenue-sharing contract is introduced to achieve green supply chain coordination, and the impact of the carbon tax on coordination is analyzed. The results show the following. (1) The carbon tax rate and the difference between the power of the manufacturer and retailer are the main factors determining green supply chain coordination. (2) Maximum greenness can be achieved when development costs are higher, while the maximum tax revenue is obtained when the development cost is lower, but with the loss of greenness. (3) If the power of the manufacturer is low, coordination can be achieved under the optimal carbon tax. If the power of the manufacturer is at a medium level, coordination can be achieved by increasing the carbon tax; as a result, increased greenness will be realized, but with the loss of tax revenue. However, when the power of the manufacturer is strong, coordination cannot be achieved. (4) Price reference behavior can promote supply chain coordination, but consumer’s environmental awareness cannot.


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