2021
DOI: 10.1007/s11356-021-14097-w
|View full text |Cite
|
Sign up to set email alerts
|

The drivers of energy-related CO2 emissions in Brazil: a regional application of the STIRPAT model

Abstract: Since energy is one of the basic inputs for development, emerging economies should make an effort to investigate the environmental impacts of their fast economic growth. However, large emerging economies present significant regional heterogeneity that is usually uncounted for. This study uses the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model and regional data on the 27 Brazilian states to investigate the growth-CO 2 nexus under distinct developm… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
7
0
4

Year Published

2022
2022
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 22 publications
(11 citation statements)
references
References 89 publications
(157 reference statements)
0
7
0
4
Order By: Relevance
“…Referring to Dai et al [ 20 ], this study constructs an SDID model that is derived from the Stochastic Impacts by Regression on Population, Affluence, and Technology model (STIRPAT). The STIRPAT model has been frequently utilized to examine environmental influences on socioeconomic factors [ 36 ] and to identify factors that affect the indicators associated with the environment [ 37 , 38 ]. A traditional STIRPAT model to analyze the determinants of energy efficiency is as follows: where the calculated GTFEE is the dependent variable.…”
Section: Models and Datamentioning
confidence: 99%
“…Referring to Dai et al [ 20 ], this study constructs an SDID model that is derived from the Stochastic Impacts by Regression on Population, Affluence, and Technology model (STIRPAT). The STIRPAT model has been frequently utilized to examine environmental influences on socioeconomic factors [ 36 ] and to identify factors that affect the indicators associated with the environment [ 37 , 38 ]. A traditional STIRPAT model to analyze the determinants of energy efficiency is as follows: where the calculated GTFEE is the dependent variable.…”
Section: Models and Datamentioning
confidence: 99%
“…, 2018). In the case of further development, the global economies work together to continue to implement effective measures to curb environmental contamination (Polloni-Silva et al. , 2021; Ullah et al.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Some researchers found no impact of financial growth on the quality of the environment (Salahuddin et al, 2018). In the case of further development, the global economies work together to continue to implement effective measures to curb environmental contamination (Polloni-Silva et al, 2021;Ullah et al, 2020;Alam et al, 2022).…”
Section: Literature Reviewmentioning
confidence: 99%
“…It is also forecasted that the carbon contents abstained with a joint application of the mitigation alternatives analyzed may well reach 82,000 Gg (or 109 g) of CO 2 from 2003 through 2023. -Silva et al (2021) examine the relationship between environmental pollution and economic growth, population, energy intensity, industry and service sector for 27 states of Brazil between 2006 and 2015. As a result of the study carried out to determine the regional differences within the country, it has been determined that the economic growth and population in the rich and low-income regions have a positive effect on environmental pollution.…”
Section: Literature Reviewmentioning
confidence: 99%