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首页> 外文期刊>Journal of industrial and management optimization >COST-SHARING STRATEGY FOR CARBON EMISSION REDUCTION AND SALES EFFORT: A NASH GAME WITH GOVERNMENT SUBSIDY
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COST-SHARING STRATEGY FOR CARBON EMISSION REDUCTION AND SALES EFFORT: A NASH GAME WITH GOVERNMENT SUBSIDY

机译:碳减排和销售努力的成本分摊策略:政府补贴的纳什比赛

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摘要

We investigate the cost-sharing strategies of a retailer and a manufacturer in a Nash game considering government subsidy, consumers' green preference and retailer's sales effort. We provide a function to describe the demand for green products considering the effect of green preference of consumers and the sales effort of the retailer. Next, we construct profit functions of the manufacturer and the retailer considering government subsidy for four scenarios: no sharing of cost (NSC), sharing of carbon emission reduction cost (SCERC), sharing of sales effort cost (SSEC), and sharing both carbon emission reduction cost and sales effort cost (SBC). Furthermore, we determine the optimal policies of price, sales effort level, wholesale price and carbon emission reduction effort level for the four scenarios by maximizing the profits of the manufacturer and the retailer in the Nash game. We find that the sales effort cost-sharing ratio and the carbon emission reduction cost-sharing ratio can affect the optimal policies of the manufacturer and the retailer, and the trends and extent of effects may be different. Our results show that it is advantageous for the manufacturer and the retailer to consider the cost-sharing effects of sales effort and carbon emission reduction effort, and the optimal policies of the retailer and the manufacturer are different for different scenarios.
机译:我们调查零售商的成本分摊策略和纳什剧院考虑政府补贴,消费者的绿色偏好和零售商的销售努力。我们提供了一种描述对绿色产品需求的函数,考虑到消费者的绿色偏好和零售商的销售努力的影响。接下来,我们构建制造商和零售商的盈利职能,考虑政府补贴四种情况:没有成本(NSC),分享碳减排成本(SCERC),分享销售努力成本(SSEC),并分享两种碳减排成本和销售努力成本(SBC)。此外,我们通过在纳什比赛中最大限度地提高制造商和零售商的利润来确定四种情况的最佳价格,销售筹资级别,批发价格和碳减排努力等级。我们发现销售努力成本共享率和碳排放减少成本分摊比率会影响制造商和零售商的最佳政策,趋势和效果的趋势可能不同。我们的研究结果表明,制造商和零售商对销售努力和碳排放减少努力的成本共享影响以及零售商和制造商的最佳政策对不同情景不同。

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