A multivariate analysis of carbon dioxide emissions, electricity consumption, economic growth, financial development, industrialization, and urbanization in Senegal

References

• ANSD. 2015. Senegal Energy Profile. Available at: http://senegal.opendataforafrica.org/bptbzm/senegal-energy-profile. Accessed November 17th, 2015.
   Google Scholar
• Asumadu-Sarkodie S, Owusu, PA. 2016b. 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. Energ. Source. B 11:889–899.
   Google Scholar
• Asumadu-Sarkodie, S., and Owusu, P. 2016b. 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. Energy Sources, Part B doi:10.1080/15567249.2016.1217285
   Google Scholar
• Asumadu-Sarkodie, S., and Owusu, P. 2016c. Forecasting Nigeria’s energy-use by 2030, an econometric approach. Energy Sources, Part B doi:10.1080/15567249.2016.1217287
   Google Scholar
• Asumadu-Sarkodie, S., and Owusu, P. A. 2016d. Carbon dioxide emissions, GDP, energy use and population growth: A multivariate and causality analysis for Ghana, 1971–2013. Environ. Sci. Pollut. Res. Int. 23:13508–13520. doi:10.1007/s11356-016-6511-x
   PubMed Web of Science ®Google Scholar
• Asumadu-Sarkodie, S., and Owusu, P. A. 2016e. Multivariate co-integration analysis of the Kaya factors in Ghana. Environ. Sci. Pollut. Res. Int. 23:9934–9943. doi:10.1007/s11356-016-6245-9
   PubMed Web of Science ®Google Scholar
• Asumadu-Sarkodie, S, and Owusu, P. A. (2016f) The potential and economic viability of solar photovoltaic power in Ghana. Energy Sources, Part A 38:709–716. doi:10.1080/15567036.2015.1122682
   Google Scholar
• Asumadu-Sarkodie, S., and Owusu, P. A. 2016g. The potential and economic viability of wind farms in Ghana. Energy Sources, Part A 38:695–701. doi:10.1080/15567036.2015.1122680
   Google Scholar
• Asumadu-Sarkodie, S., and Owusu, P. A. 2016h. Recent evidence of the relationship between carbon dioxide emissions, energy use, gdp and population in Ghana: A linear regression approach. Energy Sources, Part B doi:10.1080/15567249.2016.1208304
   Google Scholar
• Asumadu-Sarkodie, S., and Owusu, P. A. 2016i. The relationship between carbon dioxide and agriculture in Ghana: A comparison of VECM and ARDL model. Environ. Sci. Pollut. Res. Int. 23:10968–10982. doi:10.1007/s11356-016-6252-x
   PubMed Web of Science ®Google Scholar
• Ceglar, A., Toreti, A., Lecerf, R., Van der Velde, M., and Dentener, F. 2016. Impact of meteorological drivers on regional inter-annual crop yield variability in France. Agric. Forest Meteorol. 216:58–67.
   Web of Science ®Google Scholar
• Chong. I.-G., and Jun, C.-H. 2005. Performance of some variable selection methods when multicollinearity is present. Chemom. Intell. Lab. Syst. 78:103–112.
   Web of Science ®Google Scholar
• Chu, M. T., Funderlic, R. E., and Golub, G. H. 1995. A rank-one reduction formula and its applications to matrix factorizations. SIAM Rev. 37:512–530.
   Web of Science ®Google Scholar
• Eriksson, L., Johansson, E., Kettaneh-Wold, N., and Wold, S. 2001. Multi-and megavariate data analysis: Principles and applications. Umetrics
   Google Scholar
• Gosselin, R., Rodrigue, D., and Duchesne, C. 2010. A Bootstrap-VIP approach for selecting wavelength intervals in spectral imaging applications. Chem. Intell. Lab. Syst. 100:12–21.
   Web of Science ®Google Scholar
• Mehmood, T., Liland, K. H., Snipen, L., and Sæbø, S. 2012. A review of variable selection methods in partial least squares regression. Chem. Intell. Lab. Syst. 118:62–69.
   Web of Science ®Google Scholar
• Mohiuddin, O., Asumadu-Sarkodie, S., and Obaidullah, M. 2016. The Relationship between Carbon Dioxide Emissions, Energy Consumption, and GDP: A recent evidence from Pakistan. Cogent Eng. 3:1210491. doi:10.1080/23311916.2016.1210491
   Web of Science ®Google Scholar
• Owusu, P., and Asumadu-Sarkodie, S. 2016. A review of renewable energy sources, sustainability issues and climate change mitigation. Cogent Eng. 3:1167990. doi:10.1080/23311916.2016.1167990
   Web of Science ®Google Scholar
• Wold, S., Ruhe, A., Wold, H., Dunn, I., and W J. 1984. The collinearity problem in linear regression. The partial least squares (PLS) approach to generalized inverses SIAM. J. Sci. Stat. Comput. 5:735–743.
   Web of Science ®Google Scholar
• Wold, S., Sjöström, M., and Eriksson, L. 2001. PLS-regression: A basic tool of chemometrics. Chem. intell. Lab. Syst. 58:109–130.
   Web of Science ®Google Scholar
• World Bank. 2014. World Development Indicators. Available at: http://data.worldbank.org/country. Accessed October 24, 2015.
   Google Scholar