摘要
利用陕西、甘肃、宁夏、青海、新疆等5个省区21个市县的调研数据,分析了西北地区家庭生活碳排放现状、城乡差异、碳排放强度等,并基于STIRPAT扩展模型对西北地区家庭生活碳排放的影响因素进行分析发现:西北各省区家庭人均生活碳排放存在较大差异,家庭人均生活碳排放量由低到高依次为甘肃1.72 t CO2、陕西1.77 t CO2、宁夏1.95 t CO2、新疆2.09 t CO2、青海2.47 t CO2,城市和农村家庭人均生活碳排放均存在明显差异,城市家庭人均生活碳排放比农村的低;家庭人均生活碳排放在平均水平之下的占多数;调研区内的家庭生活碳排放强度存在较大差异;家庭生活碳排放强度、家庭人均收入和家庭总人口与家庭生活碳排放呈显著性正相关,年龄结构与家庭生活碳排放也呈正相关但并不显著,家庭生活碳排放强度、家庭人均收入、家庭总人口、年龄结构对家庭生活碳排放的影响依次减小。
The paper chooses 21 cities and counties as the investigation areas in Shaanxi, Gansu, Ningxia, Qinghai and Xinjiang, conducting questionnaire survey and using questionnaire data. This paper analyzes the characteristics of family carbon emissions in northwest China and conducts an empirical study on the main factors based on the ex- tended STIRPAT model. The results show that there is a big difference in the per capita carbon emissions among dif- ferent provinces, the household per capita carbon emissions are ranked from low values to high ones as follows ： Gansu 1.72 t CO2, Shaanxi 1.77 t CO2, Ningxia 1.95 t CO2, Xinjiang 2.09 t CO2, Qinghai 2.47 t CO2. There are significant differences among the provinces＇ city and rural in household per capita carbon emissions, the household per capita carbon emission of city is lower than that of countryside. This paper analyses the skewness of household per capita carbon emission, the result shows that skewness coefficient is greater than 0, this implies that the number of the household per capita carbon emissions below the average level in the regions is more. The average household carbon emission intensity in northwest area is 343 t COs per million Yuan RMB, there is a big difference in the household carbon emissions intensity of the investigation areas, it shows that the technical conditions of every province exists differences. It analyses the effective factors of household carbon emission in northwest China, based on Extended STIRPAT Model, it shows that there is a significant positive correlation between household carbon emissions and household carbon emissions intensity, household per capita income, family total population. There is also a positive correlation of household carbon emissions to age structure, but it is not significant. The impact of household carbon emissions intensity on household carbon emissions is the maximum, it shows that there is a closest relationship be- tween technical factors and household carbon emission, so it demands introducing advanc
出处
《干旱区地理》
CSCD
北大核心
2014年第4期759-766,共8页
Arid Land Geography
基金
中国科学院战略性先导科技专项“应对气候变化的碳收支认证及相关问题”(XDA05140100)
