Advertisement policy for dual-channel within emissions-controlled flexible production system

Nowadays, industrial firms are very much careful to build a green environment by reducing carbon emissions. The government imposes some rules and regulations to provide a better eco-friendly environment. In this study, the cap-and-trade mechanism has been considered in a production model to control the carbon emissions rate. The manufacturers invest in advanced green technology to reduce per unit emissions. As online and offline selling is crucial to any industry for increasing customer demand, the manufacturers sell their products by dual-channel and advertise their products by online channel to make more popular of their products. Keeping these in mind, a sustainable flexible production model with single-type substitutable product production is considered here by imposing a cap-and-tax policy, investing in green technology, and advertising for products. This model is divided into two cases: with and without investment in green technology. The demand of each manufacturer depends upon an online selling price, an offline selling price, and an online advertisement of the product. A classical optimization technique helps to get the optimum strategies for the online selling price, offline selling price, advertisement investment, green technology, cycle time, and production rate. From the numerical study, it is proved that the industry gets 6.97% more profit in the case of green technology investment and the proposed study gives 5.74% more profit than the traditional production system. Sensitivity analysis and managerial insights are performed.     

Effects of in-store information quality and store credibility on consumer engagement in green retailing

Literature has reported that store-level information is crucial in determining consumer engagement with green stores. This study examines the effects of in-store (green) information quality on consumer engagement behaviours and mediating effects of store credibility. Moreover, the study reveals whether consumer passion for the environment moderates the effect of in-store (green) information quality on store credibility. Statistical analyses of useable data from 763 respondents examined the relationships. Credibility emerged as a key mechanism to enhance the effects of information quality on consumer engagement. Thus, this study extends theoretical discussions on information quality, consumer passion, and consumer engagement for green retailing.     

Addressing plastic pollution through green consumption: Predicting intentions to use menstrual cups in the Philippines

Plastic pollution is a global environmental crisis that poses a huge threat to the health of people and marine ecosystems worldwide. A significant source of plastic pollution is menstrual hygiene management, and an approach that can help address this crisis is the usage of washable and reusable menstrual cups. Using an extended theory of planned behavior model that includes self-identity and perceived quality, the study predicted intentions to use menstrual cups in the Philippines. Structural equation modeling results showed that perceived quality predicted attitudes towards menstrual cup usage. Moreover, attitudes, perceived behavioral control, and self-identity predicted intentions to use menstrual cups. There were also some differences in the factors and predictors of intentions between non-users and regular users of menstrual cups. Among regular users, perceived behavioral control did not predict intentions. These findings provide empirical support for the extended model, and provides insights for governments, non-government organizations, and corporations in promoting the usage of menstrual cups to address the global plastic pollution crisis.     

Green cooperation in last-mile logistics and consumer loyalty: An empirical analysis of a theoretical framework

Based on the contingency, transaction, and trust theories, this paper explored how the green cooperation between supplier and customer in last-mile logistics contributes to consumers’ sustainable consumption behaviors and trust and transaction cost's contingency role. We collected survey data from 453 users of green shopping platforms in South Korea (e.g., Homepick and Smart Locker) and analyzed the data using structural equation modeling. The results suggest that green cooperation with companies positively affects consumers’ sustainable consumption behaviors and trust, and transaction costs negatively moderate such relationships. In addition, customer trust positively affects sustainable consumption behavior and loyalty. We also found that improved sustainable consumption behavior can form loyalty, but transaction cost decreases its positive impact. This paper evaluates the last-mile delivery through green cooperation and enriches the literature on contingency, transaction cost, and trust theories.     

Becoming a tree when I will be dead? Why not! Generation X,Y and Z,and innovative green death practices

Within the theoretical field of ethical consumption, the study focuses on consumer behavior and innovative green death practices. While scarcely investigated in the marketing and consumer behavior research domains, at least four main reasons spur to consider the funeral industry as an interesting subject of enquiry: i) the sector boasts of a significant economic relevance; ii) it is extremely impactful from an environmental and social point of view; iii) it is witnessing interesting innovative processes in the direction of social and environmental sustainability; iv) consumer movements are rising all over the world asking for more sustainable death practices. Thus, adopting an augmented version of the theory of planned behavior (TPB), which includes individuals’ environmentally responsible consumption, and egoistic and altruistic environmental concern, the study investigates behavioral intention to adopt innovative green death practices (a green funeral) of people belonging to three different generations: X, Y, and Z. A purposive sample of 627 Italian people participated in an online the survey. Collected data were analyzed adopting an ordinal logit model. The results confirm the TPB predictive power also in the field of green funeral behavioral intention. Furthermore, environmentally responsible consumption and environmental concern – even though only in its altruistic component – positively influence behavioral intention, and generation exerts a moderating effect among the examined constructs. Overall, the research attempts to enrich the literature on ethical consumption by exploring the underinvestigated phenomenon of buying behavior of unsought and end-of-life products, that of green funerals, and provide managerial recommendations to funeral service sellers.     

Green consumption behavior prediction based on fan-shaped search mechanism fruit fly algorithm optimized neural network

Predicting consumption behavior is very important for adjusting supplier production plans and enterprise marketing activities. Conventional statistical methods are unable to accurately predict green consumption behavior because it is characterized by multivariate nonlinear interactions. The paper proposes an optimized fruit fly algorithm (FOA) and extreme learning machine (ELM) model for consumption behavior prediction. First, to address the problem of uneven search direction of FOA leading to insufficient search ability and low efficiency, the paper proposes a sector search mechanism instead of a random search mechanism to improve the global search ability and convergence speed of FOA. Second, to address the issue that the initial weights and hidden layer bias values of the ELM are randomly generated, which affects the learning efficiency and generalization of the ELM, the paper uses an improved FOA to optimize the weights and bias values of ELM for improving the prediction accuracy. Taking the green vegetable consumption behavior of Beijing residents as an example, the results show the optimization of the initial weight and threshold of ELM by the GA, PSO, FOA, and SFOA, the prediction accuracy of the GA-ELM, PSO-ELM, FOA-ELM, and SFOA-ELM models all surpass those of ELM. Compared with BPNN, GRNN, ELM, GA-ELM, PSO-ELM, and FOA-ELM models, the RMSE value of SFOA-ELM was decreased by 9.45%, 8.40%, 11.89%, 5.84%, 2.22%, and 2.69%, respectively. These findings demonstrate the effectiveness of the SFOA-ELM model in green consumption behavior prediction and provide new ideas for the accurate prediction of consumption behaviors of other green products with similar characteristics.     

中国绿色环球21认证体系实施研究

随着旅游业的发展,生态旅游认证特别是绿色环球21认证的作用越来越重要。文章概述了绿色环球21认证的基本情况,分析了我国实施绿色环球21认证的现状及存在的问题,总结了我国企业实施绿色环球21认证的效果,针对我国绿色环球21认证制度的建设提出了相应对策。     

偏向性技术进步与海洋经济绿色全要素生产率研究

本文利用方向性距离函数与 Malmquist-Luenberger （ML）指数,构建了海洋经济绿色全要素生产率测度及技术进步要素偏向判别模型。以 2006-2016年海洋经济投入产出相关数据为基础,系统地分析了不同时期我国海洋经济绿色增长的差异。研究显示：第一,从全国来看,我国海洋经济绿色全要素生产率呈现上升趋势。然而在资源环境约束下,海洋经济绿色全要素生产率的增长率呈现出先降后升的趋势。第二, 从地区视角分析,技术进步是11个沿海地区海洋经济绿色生产率增长的主要驱动因素,且技术规模的变化影响最为显著。第三,就技术进步的偏向性角度而言,海洋经济整体上呈现出海洋劳动与资源的依赖性特征,但是大部分沿海地区的海洋经济呈现出节约资本,使用劳动和资源的特征,证明我国节能环保政策初显成效。