STIRPAT模型的改进及其应用  

Improvement and Application of STIRPAT Model

作　　者：林寿富[1,2] 王善勇[2] Dora Marinova 赵定涛[2] 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)

机构地区：[1]福建师范大学经济学院,福州350007 [2]中国科学技术大学管理学院,合肥230026 [3]科廷理工大学可持续发展政策研究所,澳大利亚珀斯WA6845

出　　处：《统计与决策》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

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.

关 键 词：STIRPAT模型 温室气体 工业化 城镇化 

分 类 号：F205[经济管理—国民经济] F113