在以研发为基础的增长模式中对环境和货币政策进行比较研究
1Department of Economics, Faculty of Economics and Business Administration, Kyoto University of Advanced Science, 18, Gotanda-cho, Sannouchi, Ukyo-ku, Kyoto-shi, Kyoto, 615-8577, Japan.
Journal of environmental management
|May 25, 2024
概括
环境政策和金融市场的发展可以减少污染,促进经济增长. 环境和金融政策的战略组合对于有效的脱碳和可持续发展至关重要.
科学领域:
- 环境经济学环境经济学
- 金融经济学 金融经济学
- 可持续发展 可持续发展 可持续发展
背景情况:
- 环境,社会和治理 (ESG) 投资旨在减轻全球变暖和碳排放.
- 金融市场发展对脱碳的影响,特别是在碳密集型行业,仍在争论中.
- 现有的研究显示,环境政策和金融市场发展在减少污染方面的有效性没有令人信服的结果.
研究的目的:
- 从经验上阐明将环境政策和金融市场发展与污染和经济增长联系在一起的机制.
- 分析环境税和排放配额对福利,污染和增长的影响.
- 在以研发为基础的增长模式中,确定污染排放和金融市场之间的关系.
主要方法:
- 利用基于研发的增长模式,并结合了货币组成部分.
- 审查了包括环境税和排放配额在内的监管制度.
- 分析了污染,经济增长和金融市场指标 (如利率和货币供应) 之间的相互作用.
主要成果:
- 提高环境税和降低名义利率有助于减少污染和促进经济增长.
- 减少排放额也对污染和增长产生了积极的影响.
- 在排放配额下,降低的名义利率不会影响污染或增长,而是影响货币和信贷;排放额度和信贷之间出现了U形关系.
- 污染和金融发展之间的关系可以是一个双赢或权衡的场景,取决于排放配额和利率.
结论:
- 金融市场的发展可以帮助实现脱碳,但需要适当的环境金融政策.
- 环境和金融政策的结合对于将金融发展与脱碳目标联系起来至关重要.
- 政策的有效性取决于具体的监管制度 (例如,税收与配额) 和市场条件.
相关概念视频
Econometric Views (EViews)
139
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
139
Regression Toward the Mean
6.3K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.3K
Pharmacokinetic Models: Comparison and Selection Criterion
69
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
69
Mechanistic Models: Compartment Models in Individual and Population Analysis
37
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
37
Gene-Environment Interactions
293
Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
293
Multiple Regression
3.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.0K


