2022
DOI: 10.1111/opec.12223
|View full text |Cite
|
Sign up to set email alerts
|

Do energy consumption and carbon emissions impact economic growth? New insights from India using ARDL approach

Abstract: This paper investigates the association among energy consumption, carbon-dioxide emission, and India's economic growth along with supplemental variables including foreign direct investment, population density, inflation, and agricultural land. An autoregressive distributive lag model is applied over annual time-series data from 1985 to 2019. Further, the robustness and novelty of the model are confirmed by applying fully modified ordinary-least-square, dynamic ordinary-leastsquare, canonical co-integrating reg… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 66 publications
(71 reference statements)
0
2
0
Order By: Relevance
“…Therefore, for avoiding the matter of heterogeneity, before estimating the institutional quality index (IQI) we apply the min-max technique of data normalization on the world governance indicators (WGI). Equation 1 is representing the estimation technique [32][33][34].…”
Section: Data Treatment Tests and Resultsmentioning
confidence: 99%
“…Therefore, for avoiding the matter of heterogeneity, before estimating the institutional quality index (IQI) we apply the min-max technique of data normalization on the world governance indicators (WGI). Equation 1 is representing the estimation technique [32][33][34].…”
Section: Data Treatment Tests and Resultsmentioning
confidence: 99%
“…The given technique works well when the variables are cointegrated in various orders. Furthermore, it addresses the issue of endogeneity, which can lead to incorrect estimations (Ali et al, 2022;Singh & Kaur, 2022). The given technique also produces more accurate results, even in small samples, resulting in significant policy implications (Noureen et al, 2022;Samour & Pata, 2022;Bhowmik et al, 2022).…”
Section: 22mentioning
confidence: 99%