摘要
基于PET模型建立了生产、消费与政府三部门均衡分析框架,并在此基础上采用中国1995-2016年的人口、经济与碳排放数据进行了岭回归有偏估计。研究发现,经济因素依然是中国碳排放增长的主因,但是人口与消费因素尤其是老龄化与碳排放的关系日益正相关,能源消费对碳排放的影响日趋明显。中国节能减排既需要从传统经济因素入手,降低单位GDP能耗;同时也需注重人口规模、人口增长与人口结构的均衡发展,提升人口素质,加强技术创新,倡导节能环保的消费理念,切实转变经济增长方式。
Based on the PET(Population,Environment and Technology)model,this paper establishes an analytical framework for the equilibrium of the three sections,i.e.,production,consumption and government.On this basis,it makes use of China’s population,economy and carbon emission data from 1995 to 2016 to carry out the biased estimation of ridge regression.The findings show that economic factors are still the main cause of carbon emission growth in China,but factors of population and consumption,especially the relationship between aging and carbon emission,are becoming positively related increasingly;the impact of energy consumption on carbon emissions is increasingly obvious.China’s energy conservation and emission reduction should not only start from traditional economic factors to reduce energy consumption per unit of GDP,but also pay attention to the balanced development of population size,population growth and population structure,improve the quality of the population,strengthen the technological innovations,advocate the consumption concept of energy conservation and environmental protection,and effectively transform the mode of economic growth.
作者
李昌宝
高莉
杨德草
LI Chang-bao;GAO Li;YANG De-cao(Hefei Normal University,Hefei 230601,China)
出处
《江西财经大学学报》
CSSCI
北大核心
2020年第5期32-44,共13页
Journal of Jiangxi University of Finance and Economics
基金
安徽省高校人文社会科学研究重点项目“金融抑制与安徽农村剩余劳动力转移”(SK2012A174)
安徽省高校人文社会科学研究重点项目“推进安徽养老服务业供给侧改革的财税政策研究”(SK2017A1004)
安徽省高校人文社会科学研究重点项目“企业价值创造中管理会计应用体系重构与实施研究”(SK2020A0116)。
关键词
PET模型
碳排放
岭回归估计
人口老龄化
节能减排
PET model
carbon emission
ridge regression estimation
aging population
energy conservation and emission reduction