Energy use, carbon dioxide emissions, GDP, industrialization, financial development, and population, a causal nexus in Sri Lanka

with a subsequent prediction of energy use using neural network

Samuel Asumadu-Sarkodie*, Phebe Asantewaa Owusu

*Corresponding author for this work

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

The study examines the causal relationship between energy use, carbon dioxide emissions, GDP, industrialization, financial development, and population from 1971 to 2012 in Sri Lanka, using the ARDL regression analysis and a subsequent prediction of energy use using neural network. There was evidence of a long-run equilibrium relationship running from carbon dioxide emissions, GDP, industrialization, financial development, and population to energy use. The Granger causality test shows a unidirectional causality running from carbon dioxide emissions to energy use and a bidirectional causality between industrialization and energy use. The overall predicted EUSE from 1971 to 2012 has a mean absolute percentage error of 1.97%. Evidence from the neural network shows that the statistical coefficient of R-square for both training and validation is 98% and 99% with a corresponding Root mean square Error of 11.11 and 6.10, respectively.

Original languageEnglish
Pages (from-to)889-899
Number of pages11
JournalEnergy Sources, Part B: Economics, Planning and Policy
Volume11
Issue number9
DOIs
Publication statusPublished - 20 Sep 2016
Externally publishedYes

Keywords

  • Carbon dioxide emissions
  • Econometrics
  • Energy economics
  • Neural network
  • Sri Lanka

Fingerprint Dive into the research topics of 'Energy use, carbon dioxide emissions, GDP, industrialization, financial development, and population, a causal nexus in Sri Lanka: with a subsequent prediction of energy use using neural network'. Together they form a unique fingerprint.

  • Cite this