Evidence map›Paper›PMID 33575940›Full record

ArticleEnvironmental science and pollution research international2021

Optimal decisions and Pareto improvement for green supply chain considering reciprocity and cost-sharing contract.

Man Yang, Xiao-Min Gong

Abstract read
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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Optimal pricing and green decisions in a dual-channel supply chain with cap-and-trade regulation.Environmental science and pollution research international · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Man YangSchool of Information Management and Engineering, Shanghai University of Finance and Economics, No. 777 Guoding Road, Yangpu District, Shanghai, China.
Xiao-Min GongSchool of Information Management and Engineering, Shanghai University of Finance and Economics, No. 777 Guoding Road, Yangpu District, Shanghai, China. gongxiaomin961@163.com.

Funding

Graduate Innovation Fund of Shanghai University of Finance and Economics CXJJ-2018-404
6 · The paper itself

Abstract

With the rapid development of green consumption demand, more and more consumers choose to purchase green products. Incorporating consumers' environmental awareness into a green supply chain, this paper studies the decisions and coordination of the green supply chain under the retailer's reciprocal preference. The decentralized models with and without reciprocity are constructed and analyzed with consideration of product green degree and pricing. Then, the cost-sharing joint commission contract is proposed to realize Pareto improvement. Finally, propositions and conclusions are verified by numerical simulation. The results indicate that improving consumers' environmental awareness is favorable to the profit of the whole supply chain and environment. Besides, within the reasonable range of retailer's reciprocal preference, higher value of the retailer's reciprocal preference is conductive to the better realization of environmental protection and the improvement of the economic welfare of the whole society. The cost-sharing contract exerts a positive effect in improving the environmental and economic performance in the green supply chain (GSC). The paper provides a theoretical foundation for the design of cooperative contracts in the GSC, especially the GSC with retailer's reciprocal preference.

Indexed as

CommerceConsumer BehaviorCosts and Cost AnalysisHeart RateConsumer’s environmental preferenceCost-sharing contractGame theoryGreen supply chainPareto improvementReciprocal preference

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.