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The causality between energy consumption and economic growth : A multi-sectoral analysis using non-stationary cointegrated panel data
| Content Provider | Semantic Scholar |
|---|---|
| Author | Costantini, Valeria Martini, Chiara |
| Copyright Year | 2009 |
| Abstract | The increasing attention given to global energy issues and the international policies needed to reduce greenhouse gas emissions have given a renewed stimulus to research interest in the linkages between the energy sector and economic performance at country level. In this paper, we analyse the causal relationship between economy and energy by adopting a Vector Error Correction Model for non-stationary and cointegrated panel data with a large sample of developed and developing countries and four distinct energy sectors. The results show that alternative country samples hardly affect the causality relations, particularly in a multivariate multi-sector framework. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://isiarticles.com/bundles/Article/pre/pdf/11095.pdf |
| Alternate Webpage(s) | http://host.uniroma3.it/dipartimenti/economia/pdf/WP102.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Acronyms Appendix Autocorrelation Bivariate data Causality Coefficient Convergence (action) Correction of Hearing Impairment Economic Development Economic Growth Elasticity (data store) Emission - Male genitalia finding Endogeneity (econometrics) Error correction model Estimated Evaluation Fetal Growth Retardation Generalized least squares Gm(m) Google Map Maker Iteration Labor (Childbirth) Mutual exclusion Norm (social) Numerous Organisation for Economic Co-Operation and Development Panel data Policy Promotion (action) Public Policy Silo (dataset) Specification Stationary process Stimulation (motivation) Technological Innovations The Matrix Time series Weight |
| Content Type | Text |
| Resource Type | Article |
