作者: Xuyi Liu
DOI: 10.1007/S11356-018-2699-2
关键词: Distributed lag 、 Autoregressive model 、 Ordinary least squares 、 Energy source 、 Unit root 、 Error correction model 、 Mathematics 、 Econometrics 、 Granger causality 、 Unit root test 、 Pollution 、 Health, Toxicology and Mutagenesis 、 Environmental chemistry 、 General Medicine
摘要: This study examines the relationship between energy consumption and economic growth based on three models in China covering period of 1982–2015. From Ng-Perron (NP) Zivot-Andrews (ZA) unit root test, each variable has no first difference. Based Johansen multivariable co-integration test autoregressive distributed lag (ARDL) bounds co-integrating existed selected variables. Moreover, dynamic ordinary least squares (DOLS), fully modified (FMOLS), ARDL estimates are used to estimate coefficients variable, which presents that any increasing kinds sources can increase China’s long term. Additionally, vector error correction model (VECM) Granger causality is investigated. Some implications empirical results given.