On green market segmentation under subsidy regulation
On green market segmentation under subsidy regulation
复制标题
补贴监管下的绿色市场细分
DOI:
10.1108/scm-11-2015-0425
复制
发表时间:
2017-01-01
影响因子:
8.8
通讯作者:
Li, Yongjian
中科院分区:
文献类型:
--
作者:
Li, Xiang;Li, Yongjian
Purpose - This study aims to provide a better understanding of the market balance between regular (high-carbon) and green (low-carbon) products. Further, this study analyses the role of government subsidy policy, based on the results of the government's optimal green subsidy decision and its implication for green market segmentation and social welfare.Design/methodology/approach - This study adopts a Stackelberg game framework to study the interaction between the government's subsidy regulations and the firms' marketing regimes. When considering government subsidy decision, we use multi-objective programming theory and turn the problem into weighted single-objective optimisation programming.Findings - This study explores three marketing regimes and identifies the conditions under which each regime should be adopted by a firm. Further, investigating the optimal subsidy decision problem for the government reveals three subsidy regimes corresponding to the three marketing regimes. The government may be stuck in a regime of useless subsidy and the reason for this phenomenon is analysed as well.Research limitations/implications - Developing the model into a more complex supply chain situation will enhance the applicability of the framework. Incorporating other environmental regulations, such as carbon tax, can be interesting research extensions of this study. Practical implications - This study provides a quantitative framework, which can help the regulator gain a deeper understanding of green subsidy policies and assist focal companies in acquiring a better appreciation of green marketing segmentation.Originality/value - The study is one of the first few works to explore the optimal design of green subsidy regulation for the government and its impact on market segmentations of high- and low-carbon products by using quantitative modelling approaches and deriving vital managerial insights.