Cargando…
Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality
Most authors apply the Granger causality-VECM (vector error correction model), and Toda–Yamamoto procedures to investigate the relationships among fossil fuel consumption, [Formula: see text] emissions, and economic growth, though they ignore the group joint effects and nonlinear behaviour among the...
Autores principales: | Lv, Zhihui, Chu, Amanda M. Y., McAleer, Michael, Wong, Wing-Keung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6861921/ https://www.ncbi.nlm.nih.gov/pubmed/31671848 http://dx.doi.org/10.3390/ijerph16214176 |
Ejemplares similares
-
Dataset for analysing the relationships among economic growth, fossil fuel and non-fossil fuel consumption
por: Asafu-Adjaye, John, et al.
Publicado: (2016) -
A new test of multivariate nonlinear causality
por: Bai, Zhidong, et al.
Publicado: (2018) -
Greenhouse Gas Emissions, Energy Consumption and Economic Growth: A Panel Cointegration Analysis for 16 Asian Countries
por: Lu, Wen-Cheng
Publicado: (2017) -
Causality and Cointegration Analysis between Macroeconomic Variables and the Bovespa
por: da Silva, Fabiano Mello, et al.
Publicado: (2014) -
The Nexus between Energy Consumption, Biodiversity, and Economic Growth in Lancang-Mekong Cooperation (LMC): Evidence from Cointegration and Granger Causality Tests
por: Liu, Hongbo, et al.
Publicado: (2019)