Comparative Analysis of Brown and Green Energy Resources on Environment using Pearson Product Moment Correlation

Authors

  • Eme Luke Department of Civil Engineering, Faculty of Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra State, Nigeria
  • Anukem Ugochukwu Department of Civil Engineering, Faculty of Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra State, Nigeria

DOI:

https://doi.org/10.63002/asrp.401.1288

Keywords:

Resource, Energy, Renewable, Hydropower, Agricultural, Household

Abstract

The problems are that: the generation of electricity world-wide is heavily dominated by the use of fossil fuels, the combustion of these fuels releases large amount of carbon dioxide and pollutants to the atmosphere, renewable energy source are rapidly Increasing in usage, however, current market Shares, excluding hydro Power, are so low that it will take some time before a significant change, biomass has become one of the most commonly used renewable source of energy in the last two decades. The work is aimed at comparing analytically of brown and green energy resources on environment using Pearson product moment correlation. The objectives of the study are: (i) to evaluate Analysis of fossil fuel dependent, environmental impact and renewable energy transmission, electricity generation, (ii) to compare the model of brown and green energy resources based on environmental impact on the long-term trend of total carbon dioxide (CO₂) emissions in Nigeria from 1990 to 2020 and (iii) to model environmental impact of brown and green energy using Pearson Product Moment Correlation. The method of study adopted a two-step mixed (qualitative and quantitative) analysis for data collected. Data collected during the study were analyzed using relevant econometric and other statistical tools in other to achieve specific objectives. The results show that the calculated value of (23.62) is greater than critical table t – value of  (2.306), therefore from the hypothesis I and II test neither type I nor type II error was committed. From the graph (4.5) it shows the highest emission being at 0.9 in the year 2015 while the lowest emission being at 0.56 in the year 2012. The study revealed that between 1990 and 2020, CO₂ emissions per capita in Nigeria declined significantly by approximately 47%, despite a general exponential increase in total CO₂ emissions, as evidenced by a statistically significant log-linear model (β = 0.0097, p< 0.001). The work concludes that 0.9 is the correlation result of 90% level performance using Pearson product moment correlation on the improvement of green Energy resources. The study recommended planning horizon for thermal and hydro power plants programs to extend beyond the agency’s current planning horizon of 2030.

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Published

01-03-2026