摘要
文章将传统STIRPAT模型的驱动因素扩展为9个,并运用改进的模型对不同类型国家温室气体排放的驱动因素进行实证检验。结果发现:不同类型国家在城镇就业水平、实体经济的人口承载强度、技术水平、工业化水平等方面表现出明显差异,但不管是哪类国家,人口规模、财富水平、温室气体排放强度、能源强度都是影响各国温室气体排放的最主要因素。
This paper expands the STIRPAT model to nine driving factors, and then uses the improved STIRPAT model to empirically examine the driving forces of greenhouse gas emissions of different types of countries. The result indicates that the urban employment level, population carrying intensity of real economy, technological level and industrialization level show significant differences in different types of countries, while the population, per capita GDP, greenhouse gas emission intensity and energy intensity are the most important factors affecting greenhouse gas emissions for all types of countries.
作者
林寿富
王善勇
Dora Marinova
赵定涛
Lin Shoufu;Wang Shanyong;Dora Marinova;Zhao Dingtao(School of Economics,Fujian Normal University,Fuzhou 350007,China;School of Management,University of Science and Technology of China,Hefei 230026,China;Sustainable Development Policy Institute,Curtin University of Technology,Perth WA 6845,Australia)
出处
《统计与决策》
CSSCI
北大核心
2018年第16期32-34,共3页
Statistics & Decision
基金
国家社会科学基金青年项目(16CJL020)
福建省软科学项目(2017R0034)
福建省高校“新世纪优秀人才支持计划”项目