检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]东北师范大学地理科学学院
出 处:《现代城市研究》2017年第3期90-96,共7页Modern Urban Research
基 金:国家自然科学基金(40371040)
摘 要:本研究以东北三省为研究对象,提出假设:1城市规模的扩大导致能源消耗增加,提高城市紧凑度可以降低能源消耗;2城市规模扩张的过程中紧凑度降低导致能源利用率降低,能源消耗增加。在假设的基础上构建度量城市规模和城市紧凑度的评价指标体系,应用计量经济学的回归估计方法,借助Eviews分析软件,对堆积数据分三组进行分析,第一组的解释变量为所有省份的城市规模和城市紧凑度的一级指标,被解释变量为能源消耗总量,第二组的解释变量为所有省份的二级统计指标,被解释变量为人均能源消耗,第三组为分省份的城市规模和紧凑度一级指标,被解释变量为能耗总量。回归结果显示,城市能源消耗随着城市规模的扩大而增加,提高城市紧凑度对降低城市能耗具有一定的现实意义,然而不同的城市由于空间结构和发展模式不同,提高紧凑度对抑制能源消耗的作用强度不同,在空间上表现出较大差异。In this study, the three provinces in Northeast China were used as the research object and the hypothesis was put forward. (1) Expansion of urban scale leads to an increase in energy consumption and improving urban compactness can reduce energy consumption. (2) In the process of city scale expansion, the reduction of the compact degree leads to the reduction of the energy utilization rate and the increase of the energy consumption. Based on the hypothesis, the evaluation index system of the measurement of city size and compactness were built. Then the data was divided into three groups to implement the analysis with the help of Eviews. The first set of explanatory variables are the indicators of city size and urban compactness. Second sets of explanatory variables are average energy consumption. Third sets of data are the city size and compactness of the first level indicators. Regression results show that urban energy consumption increases with the increase of the scale of the city. So improving the compactness of the city has a certain practical significance to reduce the energy consumption of the city.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.229