Pricing strategies and profit coordination under a double echelon green supply chain

Li, Ping; Rao, Congjun; Goh, Mark; Yang, Zuqiao

doi:10.1016/j.jclepro.2020.123694

Cited by 89 publications

(60 citation statements)

References 52 publications

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“…On the problem of population aging, many scholars have made many valuable discussions from different perspectives. They mainly focus on the development status and trend of population aging, the prediction of future aging population, the analysis of influencing factors of population aging and countermeasures, and so on (Wang 2004;Zhang 2009; Lee and Shin 2019;Li et al 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Influencing factors analysis and development trend prediction of population aging in Wuhan based on TTCCA and MLRA-ARIMA

Rao

Gao

2021

Soft Comput

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With the rapid development of the economy, the problem of population aging has become increasingly prominent. To analyse the key factors affecting population aging effectively and predict the development trend of population aging timely are of great significance for formulating relevant policies scientifically and reasonably, which can mitigate the effects of population aging on society. This paper analyses the current situation of population aging in Wuhan of China and discusses the main factors affecting the population aging quantitatively, and then establishes a combination prediction model to forecast the population aging trend. Firstly, considering the attribute values of the primary influence factors are multisource heterogeneous data (the real numbers, interval numbers and fuzzy linguistic variables coexist), a two-tuple correlation coefficient analysis method is proposed to rank the importance of the influencing factors and to select the main influencing factors. Secondly, a combination prediction model named Multiple Linear Regression Analysis-Autoregressive Integrated Moving Average is established to predict the number and the proportion of aging population in Wuhan. By using the statistical data of Wuhan in the past 20 years, this combination prediction model is used for empirical analysis, and a prediction result of the number and the proportion of aging people in Wuhan in the future is obtained. Based on these quantitative analysis results, we propose some countermeasures and suggestions on how to alleviate the population aging of Wuhan from aspects of economic development, pension security system design and policy formulation, which provide theoretical basis and method reference for relevant population management departments to make scientific decisions.

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Section: Literature Reviewmentioning

confidence: 99%

Influencing factors analysis and development trend prediction of population aging in Wuhan based on TTCCA and MLRA-ARIMA

Rao

Gao

2021

Soft Comput

Self Cite

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“…Centralised decision-making is the result of manufacturers and retailers seeking a win-win partnership [83][84][85]. However, different entities have different costs and their profit varies.…”

Section: Differential Pricing Strategiesmentioning

confidence: 99%

A Two-Stage Closed-Loop Supply Chain Pricing Decision: Cross-Channel Recycling and Channel Preference

Pan

Lin

2021

Axioms

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This paper focuses on the pricing problem of a two-stage closed-loop supply chain (CLSC) considering the cross-channel recycling and channel preference based on a single manufacturer and a single traditional retailer. The pricing decision problem raises from the manufacturer’s direct sales and the retailer’s retailing including recycling. Managers need to focus on intelligible management considering consumer channel preferences, cross-channel recovery and pricing strategies. According to game theory, centralized and decentralized CLSC decision models are used to provide an efficient solution to managers for the pricing problem. The centralized model consists of differential and uniform pricing strategy and the decentralized model consists of manufacturer-led Stackelberg, retailer-led Stackelberg and Nash equilibrium game, respectively. The impact of cross-channel recycling rate and channel preference on pricing and profitability in a two-stage CLSC system is explained elaborately in this study. The results show that cross-channel recovery rates and consumer channel preferences have a direct significant impact on pricing strategies including profit allocation decisions in CLSC. It demonstrated that different channel preferences leading to different pricing strategies and decision for manufacturers and retailers choices. Manufacturer’s pricing decreases when channel preferences are constant and cross-channel recovery rates increase. Retailer’s pricing remains stable as the cross-channel recovery rate has less affected on it. Furthermore, if the cross-channel recovery rates increase, then the manufacturers pricing decreases and retailers pricing increases. This information will be a helpful guideline for the manager to select suitable pricing strategies based on the company scenario.

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“…They analyzed the influence of green uncertainty on each member's decision. Li et al [33] constructed a double echelon supply chain, and analyzed pricing strategies and profit coordination. Moreover, they studied the supply chain with random demand and asymmetric information, and found that this can obviously affect the equilibrium profits.…”

Section: Random Demand Supply Chain Managementmentioning

confidence: 99%

Green Supply Chain Newsvendor Model and Analysis under Multiplicative Random Demand

Wang¹

2021

converter

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In this paper, we investigate the performance of green supply chain newsvendor model under multiplicative random demand. In our model, the green supply chain consists of one manufacturer and one retailer. The manufacturer acts as a leader, which decides the variables: production quantity, wholesale price and green-level; the retailer acts as a follower, decides on the retail price. Centralized and decentralized optimal solutions are obtained to optimize the manufacturer's production, stocking and green-level decision while anticipating the retailer's price optimization decision. Through research, it is found that the stocking factor decreases with the increasing price elasticity and is not affected by the green-level elasticity; Lower price elasticity will increase the optimal selling price of the green product, while green-level elasticity has no effect on the price; Larger price elasticity or green-level elasticity will increase the optimal green-level of the green product; Lower price elasticity or higher green-level elasticity will increase the overall profitability of the supply chain; Profit sharing between manufacturer and retailer under the decentralized model only depends on price elasticity and green-level elasticity; The greater price elasticity, the more beneficial to the retailer, the greater the green-level, the more beneficial to the manufacturer.

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Pricing strategies and profit coordination under a double echelon green supply chain

Cited by 89 publications

References 52 publications

Influencing factors analysis and development trend prediction of population aging in Wuhan based on TTCCA and MLRA-ARIMA

Influencing factors analysis and development trend prediction of population aging in Wuhan based on TTCCA and MLRA-ARIMA

A Two-Stage Closed-Loop Supply Chain Pricing Decision: Cross-Channel Recycling and Channel Preference

Green Supply Chain Newsvendor Model and Analysis under Multiplicative Random Demand

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