摘要
本文基于1990—2012时间序列数据,对社会治理支出与经济增长进行Johansen协整和Granger因果检验,并进行了脉冲响应分析和方差分解。为了弥补时间序列数据只包含时间和指标两维信息的缺陷,进一步基于2000—5012年中国31省域面板数据,对二者进行了面板数据单位根检验、协整检验和固定效应变系数模型估计分析。研究结果表明,社会治理支出会促进经济增长,而经济增长对社会治理支出促进作用十分有限,各省域社会治理支出对经济增长促进作用不尽相同。
Based on 1990—2012 time series data,this paper studies social administration investments and economy growth through Johansen co-integration and Granger causality test,as well as impulse response analysis and variance decomposition.Furthermore,to compensate for time-series data only containing two-dimensional information as flaw time and indicators,based on China’s 31 provincial panel data from 2000 to 2012,this paper also carries out panel data unit root test,co-integration test and fixed effects model with variable coefficients estimated analysis.The results show that the government’s social administration investment will promote economy growth;on the contrary,economy growth plays limited role in promoting the government’s social administration investments,and provincial promoting impact of the government’ s social administration investment on economy growth are different.
出处
《经济与管理研究》
CSSCI
北大核心
2015年第1期106-113,共8页
Research on Economics and Management
基金
国家社会科学基金重大项目"新型城镇化背景下的社会管理转型升级研究"(13&ZD039)
国家社会科学基金重点项目"中国社会管理指数测算模型构建及应用研究"(12AGL0007)
关键词
社会治理
经济增长
时间序列
面板数据
social administration
economic growth
time series
panel data
