关于住居能源碳排放量影响因素的研究--基于中国省际面板数据的实证分析

A STUDY ON FACTORS AFFECTING CO_2 EMISSIONS FROM RESIDENTIAL ENERGY CONSUMPTION:EMPIRICAL ANALYSIS ON CHINA'S PROVINCIAL PANEL DATA

以中国省级行政单位为研究对象对与居民生活息息相关的住居领域内所产生的能源消费与CO2排放的地区间差异性进行研究,并在此基础上对产生这一差异性的影响因素进行了深入的分析。以人均碳排放量为因变量,分别从人口、社会和经济特征及区域环境特征两大方面出发选取了10个影响因素作为自变量构建了从2002—2011年10年间以全国28个省份为对象的4个均衡面板数据模型并进行了估计分析。从模型估计结果来看,个人属性以及家庭结构等都对住居领域的碳排放有着显著性的影响;城镇居民的人均住宅建筑面积越大其碳排放量就越高。基于此,研究认为在制定有关节能减排措施时,要充分考虑到个人属性、家庭结构等人口和社会经济性因素以及住宅类型、城市形态等区域环境因素所带来的影响,根据各个地区不同的经济发展水平和实际情况因地制宜地制定和实施节能减排政策。

This paper aims to analyze the determinants that affect regional competitiveness in housing energy consumption and thus cause CO2 emissions. A panel model is set up based on the balanced panel data for 28 provinces in Chinese mainland in the period of 2002 - 2011. Per capital CO2 emissions are used as the dependent variable and ＂demographic, social, and economic characteristics＂ and ＂regional environment characteristics＂ are selected as the explanatory variables. The important findings can be summarized as follows： in terms of demographic, social, and economic characteristics, personal attributes, household structure, etc. have a significant influence on per capita CO2 emissions from residential energy consumption; in .terms of regional environment characteristics, per capita floorspace of residential buildings has positive effect on CO2 emissions. Based on that, the paper suggests that attention should be paid to such demographic, social, and economic factors as personal attributes and household structure and regional environment factors including residential types and urban forms while making and implementing relevant measures in accordance with different economic development levels of different regions to reduce CO2 emissions.