Application of Decoupling Approach to Evaluate Electricity Consumption, Agriculture, GDP, Crude Oil Production, and CO2 Emission Nexus in Support of Economic Instrument in Nigeria

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F22%3A92900" target="_blank" >RIV/60460709:41110/22:92900 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41320/22:92900
Result on the web
<a href="https://www.mdpi.com/2071-1050/14/6/3226" target="_blank" >https://www.mdpi.com/2071-1050/14/6/3226</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/su14063226" target="_blank" >10.3390/su14063226</a>

Result language
angličtina
Original language name
Application of Decoupling Approach to Evaluate Electricity Consumption, Agriculture, GDP, Crude Oil Production, and CO2 Emission Nexus in Support of Economic Instrument in Nigeria
Original language description
The paper appraised the nexus between electricity consumption, agriculture, GDP, oil production, and carbon dioxide (CO2) emissions in Nigeria using a decoupling approach. The result showed that agriculture, electricity, and GDP were predictive variables for CO2 emissions in the Granger causality analysis. The relationship between GDP and CO2 emissions also indicated that the amount of CO2 released tends to rise as the economy s output and industrial sectors grow, making GDP and CO2 emissions increasingly relevant indicators as a driver of CO2 emissions. Modern agriculture is reliant on large-scale use of fossil fuels and fertilizer production, as well as GHG emissions from crop and livestock production. However, increasing per capita real production can help to enhance quality of the environment, and speed up the uptake of renewable energy which can consequently help to ameliorate global warming. As a result of this study s policy implications, policies in the agricultural sector that could combat C
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)

Project
<a href="/en/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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