首页|煤炭资源型城市生态足迹的空间分布及影响因素分析

煤炭资源型城市生态足迹的空间分布及影响因素分析

扫码查看
煤炭资源的过度开发使得中国煤炭资源型城市陷入"资源诅咒"困境,分析煤炭资源型城市生态足迹的空间特征及路径优化是破解该困境的关键.本文以35个煤炭资源型城市为研究对象,运用能值生态足迹模型及可持续性评价指标测算了煤炭资源型城市的能值生态足迹、生态盈亏、生态效率及生态可持续性,并利用STIRPAT模型对影响因素进行了具体分析.结果表明:1)煤炭资源型城市的能值生态足迹与能源消费量密切相关,且区域差异显著,其中东部地区的能值生态足迹值最大;2)目前多数煤炭资源型城市在生态供需方面具有不平衡性,但从生态效率来看,在技术优化和政策干预之下,资源利用效率逐渐提高;3)从STIRPAT模型的回归结果来看,经济因素和人口因素对煤炭资源型城市的能值生态足迹有显著的正向影响作用,技术水平的提高则抑制了能值生态足迹值的增长.基于以上结论,为煤炭资源型城市的转型和可持续发展提出对策与建议.
SPATIAL DISTRIBUTION AND FACTORS OF ECOLOGICAL FOOTPRINTS IN COAL RESOURCE-BASED CITIES
China's coal resource-based cities have been entrapped into plight due to their excessive mining activities,which can get resolved through studying the spatial distribution and path optimization of ecological footprints in coal resource-based cities.This paper,based on China's 35 coal resource-based cities,uses energy ecological footprint model and sustainability indicators to measure their energy ecological footprints,ecological deficit/remainder,ecological efficiency and ecological sustainability,and employs STIRPAT model to study their factors.Energy ecological footprints are closely related to energy consumption in coal resource-based cities,largely varying regionally,of which central to eastern China has the maximum energy ecological footprint.Most coal resource-based cities are loosing balance in ecological supply and demands,but their resources utilization efficiency can be gradually promoted under technical advances and supportive policies from perspective of ecological efficiency.Regression results of STIRPAT model shows a positive impact of economy and population on energy ecological footprints in coal resource-based cities,but negative from technical advances.This paper presents suggestions for coal resource-based cities in economic transformation and sustainable development.

coal resource-based citiesenergy ecological footprintsustainable development

罗正茂、高红贵、万华炜、陈洋

展开 >

中南财经政法大学经济学院,湖北 武汉 430073

湖北工业大学马克思主义学院,湖北 武汉 430068

武汉生物工程学院管理学院,湖北 武汉 430415

煤炭资源型城市 能值生态足迹 可持续发展

2024

资源与产业
中国地质大学(北京) 中国地质调查局 国土资源部人力资源开发中心

资源与产业

CSTPCDCHSSCD
影响因子:1.097
ISSN:1673-2464
年,卷(期):2024.26(5)