NOT YET PEER-REVIEWED
The Impact of Energy, Agriculture, Macroeconomic and Human-Induced Indicators on Environmental Pollution from 1971 to 2011
: Received: 25 September 2016 / Approved: 26 September 2016 / Online: 26 September 2016 (12:09:01 CEST)
A peer-reviewed article of this Preprint also exists.
Journal reference: Environmental Science and Pollution Research 2017, 24, 6622-6633
In this study, the impact of energy, agriculture, macroeconomic and human-induced indicators on environmental pollution from 1971 to 2011 is investigated using the statistically inspired modification of partial least squares (SIMPLS) regression model. There was evidence of a linear relationship between energy, agriculture, macroeconomic and human-induced indicators and carbon dioxide emissions. Evidence from the SIMPLS regression shows that a 1% increase in crop production index will reduce carbon dioxide emissions by 0.71%. Economic growth increased by 1% will reduce carbon dioxide emissions by 0.46%, thus supports the environmental Kuznets curve hypothesis that an increase in a country’s economic growth leads to a reduction in environmental pollution. An increase in electricity production from hydroelectric sources by 1% will reduce carbon dioxide emissions by 0.30%, thus increasing renewable energy sources in Ghana’s energy portfolio will help mitigate carbon dioxide emissions. Increasing Enteric Emissions by 1% will increase carbon dioxide emissions by 4.22% and a 1% increase in the Nitrogen content of Manure Management will increase carbon dioxide emissions by 6.69%. The SIMPLS regression forecasting exhibited a 5% MAPE from the prediction of carbon dioxide emissions.
SIMPLS; energy economics; econometrics; carbon dioxide emissions; Ghana
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Readers' Comments and Ratings (0)