Emission trading scheme (ETS) is popular to abate anthropogenic emissions throughout the world. Previous researchers focused on evaluating ETS policy effect, but ETS design is usually neglected because ETS is already mostly sophisticated worldwide. This is not the case in China, as the Chinese nationwide ETS (CNETS) came into effect in July 2021. Implemented for a brief period, the CNETS lacks implementation details and thus may not achieve mitigation targets cost-effectively. In this paper, we attempt to narrow the research gap by comprehensively designing the CNETS. Our research framework is based on a dynamic recursive computable general equilibrium (CGE) model. The CGE model results show that the appropriate CNETS should include the coverage of the electricity generation and manufacturing sectors, higher carbon price (175 ${CNY} / {t} {CO}_2$), quota allocation based on the carbon intensity in the previous year, higher quota decline factor (2%) and time-decreasing free quota ratio. Although we have only designed the Chinese ETS in this paper, the research framework may become a paradigm of designing appropriate ETS.
Unlike traditional marketing methods, neuromarketing has shown new insights and higher prediction accuracy. This research uses the bibliometric method to analyze the objectives like the analysis and integration of the green concept of neuromarketing, recognition of the useful authors, the years of publication of documents, authoritative journals that publish articles in this field and keywords around the concept of neuromarketing. The tools presented in neuromarketing expand and improve the perception of the enthusiasts and researchers in this field, and it compares the results obtained from different approaches. From the methodological point of view, this research is qualitative and based on
The findings are presented in two phases. In the first phase, the performance analysis, the share of the annual production of neuromarketing documents, the percentage of the production of authoritative quarterly journals of this field, the share of the output of related subject areas, the share of the countries' published articles and the share of the documents by productive authors were identified and studied. Also, knowledge maps were drawn in the second phase, and 17 clusters are found, including 109 items and 131 keywords. The theoretical contribution of this article consists of the field of green neuromarketing, which is categorized into four clusters with themes of sustainability and green consumption. The results of this study were obtained based on the framework of theory, context, method, antecedents, decisions, and outcomes. All the keywords related to neuromarketing were categorized from the analysis of the previous articles and its features were studied in the proposed model.
Global attention toward environmental sustainability and economic green transformation is on the rise. Green technology innovation plays a crucial role in achieving green economic development, making the study of enterprises' sustainable green innovation highly valuable. This paper aims to examine the influence mechanism of green finance on enterprises' sustainable green innovation. To achieve this, panel data from A-share-listed enterprises in Shanghai and Shenzhen between 2012 and 2020 are utilized as the basis for analysis. The results show that: (1) Green finance plays an important role in encouraging enterprises' sustainable green innovation. (2) The test of the intermediary effect reveals that green finance can stimulate enterprises' sustainable green innovation by increasing continued R & D investment. (3) The moderating mechanism test reveals that enterprise financing restrictions and enterprise debt default risk moderate the influence of green finance on enterprises' sustainable green innovation. Furthermore, for enterprises with high financial constraints and a high risk of debt default, the development of green finance is particularly important in fostering their long-term green innovation. (4) The study concludes that all four types of sustainable green innovation, namely, strategic, substantive, independent and cooperative, exhibit the promotion effect of green financial development, the intermediary effect of continuous R & D investment and the moderating effect of financing constraints. Enterprises with a higher risk of defaulting on their debt are more likely to make significant, independent and sustainable green innovations.