中国农村居民生活电力消费的时空变化分析  

Analysis on Space-time Change of Rural Residents′ Electricity Consumption in China

在线阅读下载全文

作  者:李媛媛 牛叔文[1] 党蕾 强文丽[1] LI Yuan-yuan;NIU Shu-wen;DANG Lei;QIANG Wen-li(College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China)

机构地区:[1]兰州大学资源环境学院,甘肃兰州730000

出  处:《资源开发与市场》2021年第3期294-300,共7页Resource Development & Market

基  金:国家重点研发计划项目(编号:2018YFC0704700)。

摘  要:研究生活电力消费的时空变化,对于改进我国电力供给、改善人们生活水平具有现实意义。采用熵权TOPSIS和空间探索性分析方法,研究了2000—2017年间我国农村居民生活电力消费的时空变化。结果表明:①2000—2017年我国农村电力消费水平呈上升的趋势,始终呈现出"东高西低"的格局。其中,经济社会因素和当地平均温度对其影响明显。②电力消费水平区域差异时序上波动较大,呈倒"V"型变化趋势,地带间的差异大于地带内的差异。③电力消费的热点区扩张、次冷点区缩小,东部沿海地区和长江中游地区形成稳定性热点,而西部地区则形成稳定性冷点,这种"东高西低"的格局与地势的走向正好相反。To study the temporal and spatial changes of residents′electricity consumption was with realistic significance for improving the power supply and people′s living standards.Used the TOPSIS method of entropy weight and spatial exploratory analysis,this paper analyzed the space-time changes of rural residents′electricity consumption in China during 2000-2017.The results showed that:①In the past 18 years,the electricity consumption level of rural residents in China kept rising,showed a distribution pattern of"high in the east and low in the west".The impact of economic and social factors and local average temperature on it was obvious.②There was regional differences in power consump tion level,which fluctuated greatly in time series,showing an inverted"V"type change process.The differences between regions were bigger than intra-regional differences.③The hot spots of power consumption expanded,while the sub-cold spots shrunk.Stability hot spots formed in the eastern coastal and the middle Changjiang River,else stable cold spots in the west.This pattern of"high in the east and low in the west"was opposite to the trend of terrain.

关 键 词:电力消费 农村居民 熵权TOPSIS法 空间探索性分析 时空变化 

分 类 号:F129.9[经济管理—世界经济]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象