中国农村能源消费的碳排放强度的时空模式和空间趋同
Wenhao Xia1, Yiguang Ma1, Yajing Gao2
1College of Economics and Management, Tarim University, Alar, Xinjiang, 843300, China.
Environmental science and pollution research international
|January 3, 2024
概括
中国农村能源的碳排放强度总体上正在下降,但区域差异仍然存在. 虽然一些领域呈现趋同,但其他领域却有所分歧,受工业结构和能源效率等因素的影响. 空间交互在这种趋势中发挥着关键作用.
科学领域:
- 环境科学 环境科学
- 经济学 经济学 经济学
- 能源政策 能源政策
背景情况:
- 农村的能源消耗是碳排放的重要贡献者.
- 了解区域差异和排放强度趋势对于有效的气候政策至关重要.
- 中国庞大而多样化的景观在管理农村能源排放方面提出了独特的挑战.
研究的目的:
- 研究中国农村能源碳排放强度的区域差异和动态演变.
- 分析这种强度的趋同特征和影响因素.
- 为有针对性的环境和能源政策提供见解.
主要方法:
- 对中国30个省份的面板数据分析 (2005-2019).
- 基尼系数分解以评估不平等.
- 对于动态演变趋势的内核密度估计.
- 收模型 (sigma和beta) 用于分析收和影响因素.
主要成果:
- 农村能源的碳排放强度显示出整体下降趋势,但区域差异很大.
- 吉尼系数表现出"反向N形"的趋势,表明不平等的波动.
- 东部和东北部地区的不平等程度越来越大,而中部和西部地区的不平等程度越来越低.
- 总碳排放的空间聚合随着时间的推移而加强.
- 在整个,中部和西部地区观察到西格玛收,但在东部和东北部地区没有.
- 贝塔收是显著的,条件收比绝对收更快.
- 工业结构,工业聚集地和能源效率都会对融合速度产生积极的影响.
结论:
- 尽管总体下降,但中国农村能源的碳排放强度显示出持续和不断变化的区域差异.
- 政策干预应考虑次区域特征,以应对不同的趋势.
- 提高能源效率和优化工业结构是加速减排强度和融合的关键.
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