创新驱动力和县空气污染:成本效益分析视角
Rongbo Zhang1, Changbiao Zhong2
1Business School, Qingdao University of Technology, Qingdao, 266520, China. zrb17784458429@163.com.
Environmental science and pollution research international
|January 10, 2024
概括
创新大大降低了各县的空气污染 (SO2). 创新的数量和质量增加导致二氧化硫度降低,产生重大经济效益并促进区域环境合作.
科学领域:
- 环境科学 环境科学
- 经济学 经济学 经济学
- 区域科学 地区科学
背景情况:
- 创新是绿色和低碳发展的关键驱动力.
- 了解创新对县级空气污染的影响对于等级行政结构至关重要.
研究的目的:
- 调查创新对县级空气污染的直接和空间溢出效应.
- 探索创新驱动的空气污染减少机制,非线性关系和成本效益.
主要方法:
- 利用来自中国大陆 (2007-2020) 的县级数据.
- 使用固定效应,动态面板和空间德宾模型进行分析.
- 量化了创新的数量和质量对二氧化碳排放的影响.
主要成果:
- 创新数量/质量的1%的增加,将SO2度分别降低0.2%/0.3%.
- 创新的数量/质量增加1个标准偏差,将SO2分别减少0.29%/0.33%.
- 确定了高端因素进入,环境监管和能源效率作为主要的减少机制.
结论:
- 创新有效地减少了县级空气污染,特别是二氧化硫 (SO2).
- 在中国各地观察到创新质量对空气污染控制的负空间溢出效应.
- 创新驱动的二氧化碳减排产生了显著的经济效益 (约. 139.81亿美元),需要区域合作.
相关概念视频
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
129
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
129
Strategies for Assessing and Addressing Confounding
101
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
101
Criteria for Causality: Bradford Hill Criteria - II
321
The Bradford Hill criteria serve as guidelines for establishing causative links in epidemiological research. Beyond Strength, Consistency, Specificity, and Temporality, key criteria also include Biological Gradient, Plausibility, Coherence, Experiment, and Analogy. These principles assist scientists in assessing the likelihood of causation in complex biological contexts. Below is a summary of these concepts:
321


