家庭消费低碳转型的时空空间特征和多种驱动路径:使用动态QCA进行配置分析
1School of Economics, Guizhou University of Finance and Economics, Guiyang, Guizhou, 550025, China.
Scientific reports
|December 4, 2025
概括
中国家庭碳排放量呈现下降趋势,区域差异较大. 经济发展和环境意识是这种低碳转型的关键驱动力,受到政府支持的影响.
科学领域:
- 环境科学 环境科学
- 经济学 经济学 经济学
- 区域研究 地区研究
背景情况:
- 家庭消费是碳排放的重要贡献者.
- 了解低碳转型的驱动因素对于减缓气候变化至关重要.
- 中国的省级消费模式需要详细的时空空间分析.
研究的目的:
- 研究中国家庭消费碳排放的时空特征.
- 探索推动家庭消费低碳转型的因果机制.
- 确定基于配置的途径,以实现低碳家庭消费.
主要方法:
- 利用来自中国29个省份 (2005-2020年) 的家庭消费数据.
- 应用了消费者生活方式方法 (CLA),泰尔指数和莫兰的I用于时空分析.
- 采用了技术-组织-环境 (TOE) 框架和动态定性比较分析 (QCA).
主要成果:
- 家庭消费的碳强度最初上升,然后下降,以"高北,低南"的空间模式和显著的区域差异.
- 没有单一因素是必要的,但随着时间的推移,经济发展和环境意识成为关键驱动因素.
- 确定了两个主要的过渡模式:政府支持驱动的模式和包括经济发展和环境意识在内的综合模式.
结论:
- 中国的家庭消费碳排放表现出复杂的时空动态和区域异质性.
- 经济发展和环境意识对于低碳转型越来越重要.
- 需要量身定制的政策干预措施,考虑到区域差异和确定的配置途径.
相关概念视频
Energy Budgets
10.5K
Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
10.5K
Factors Affecting Activity Coefficient
1.5K
The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size.
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
1.5K
Mechanistic Models: Compartment Models in Individual and Population Analysis
226
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...
226
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
271
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
271
The Carbon Cycle
43.1K
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.
43.1K
Cross-Sectional Research
12.3K
In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
12.3K


