有偏见的技术进步是否影响服务业的碳生产率:来自中国的证据
Zhenqiu Wu1, Wenying Huang1, Yujin Ge1
1Economics and Trade Department, School of Business Administration, Zhongnan University of Economics and Law, No. 182, Nanhu Avenue, Donghu New Technology Development Zone, Wuhan, Hubei Province 430073, China.
Heliyon
|August 4, 2023
概括
中国的服务业显示,技术进步偏向于非能源元素,对碳生产率产生负面影响. 减少这种偏见是提高该行业环境绩效和促进绿色发展的关键.
科学领域:
- 环境经济学环境经济学
- 技术创新技术创新技术创新
- 可持续发展 可持续发展 可持续发展
背景情况:
- 中国经济中服务业比例不断上升,需要关注其对环境的影响.
- 越来越多的环境污染凸显了需要提高服务业的碳生产率.
研究的目的:
- 调查中国服务业中偏见的技术进步指数.
- 分析技术进步对服务业碳生产率的影响.
- 提出政策对策,以提高中国服务业碳生产率.
主要方法:
- 构建一个两层嵌套的CES (常态替代弹性) 生产函数.
- 对中国各地区 (西部,中部,东部) 的偏向技术进步指数的分析.
主要成果:
- 中国服务业的平均偏向技术进步指数为负值,表明对非能源要素的偏向.
- 东部地区的技术进步显示出对非能源元素的偏见最高.
- 偏见的技术进步指数和服务业碳生产率之间存在负相关性.
结论:
- 中国服务业的技术进步倾向于非能源投入.
- 减少技术进步的偏差对于提高中国服务业碳生产率至关重要.
- 政策干预应旨在重新平衡技术进步,以实现可持续发展的能源效率.
相关概念视频
Bias
4.3K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
4.3K
Global Climate Change
24.5K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
24.5K
Bias in Epidemiological Studies
352
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
352
What is Climate?
18.6K
Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
18.6K
The Carbon Cycle
38.5K
Carbon is the basis of all organic matter on Earth, and is recycled through the ecosystem in two primary processes: one in which carbon is exchanged among living organisms, and one in which carbon is cycled over long periods of time through fossilized organic remains, weathering of rocks, and volcanic activity. Human activities, including increased agricultural practices and the burning of fossil fuels, has greatly affected the balance of the natural carbon cycle.
38.5K
Biasing of FET
310
Biasing a Junction Field Effect Transistor (JFET) is crucial for setting operational parameters and ensuring efficient functioning in electronic circuits. JFETs are characterized by using a single carrier type in N-channel or P-channel configurations, where the channel is surrounded by PN junctions. These junctions are central to the device's ability to control current flow.
In an N-channel JFET, the structure consists of N-type material forming the channel on a P-type substrate, with the...
In an N-channel JFET, the structure consists of N-type material forming the channel on a P-type substrate, with the...
310


