Modeling the effects of energy consumption and urbanization on environmental pollution in South Asian countries: a nonparametric panel approach

Irfan, Mohd; Shaw, Krishnendu

doi:10.1007/s11135-015-0294-x

Cited by 56 publications

(23 citation statements)

References 29 publications

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“…Al-Mulali et al (2015) studied the cointegration among carbon dioxide emission, economic growth, urbanization, financial development and renewable electricity production using data of twenty-three European economies for the period 1990 to 2013, and it was concluded that urbanization, growth and financial development contributed to carbon emissions (Al-Mulali et al 2015). Irfan and Shaw (2017) considered that there existed an inverted U-shaped relation of CO2 emissions with urbanization. Particularly, a threshold effect was found to exist between urbanization and carbon emissions and that these emissions could be repressed once the level of urbanization exceeded that threshold (Irfan and Shaw, 2017).…”

Section: Urbanization and The Environmentmentioning

confidence: 99%

“…Irfan and Shaw (2017) considered that there existed an inverted U-shaped relation of CO2 emissions with urbanization. Particularly, a threshold effect was found to exist between urbanization and carbon emissions and that these emissions could be repressed once the level of urbanization exceeded that threshold (Irfan and Shaw, 2017).…”

Section: Urbanization and The Environmentmentioning

confidence: 99%

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RETRACTED ARTICLE: Dynamic nexus between transportation, urbanization, economic growth and environmental pollution in ASEAN countries: does environmental regulations matter?

Huang

Sadiq

Chien

2021

Environ Sci Pollut Res

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Prior studies on environmental standards have highlighted the significance of urbanization and transportation in affecting environmental sustainability worldwide. As the empirical and theoretical debates are still unresolved and divisive, the argument of whether urbanization, transportation and economic growth in Association of Southeast Asian Nations (ASEAN) countries cause greenhouse gas (GHG) emissions remains unclear. This study aim is to examine dynamic linkage between transportation, urbanization, economic growth and GHG emissions, as well as the impact of environmental regulations on GHG emission reduction in ASEAN countries over the years 1995-2018. On methodological aspects, the study accompanies a few environmental studies that check the cross-sectional dependence and slope heterogeneity issues. Moreover, the new cross-sectionally augmented autoregressive distributed lags (CS-ARDL) methodology is also applied in the study to estimate the short-run and long-run effects of the factors on GHG emissions. Substantial evidence is provided that GHG emissions increase with transportation, urbanization and economic growth but decrease with the imposition of environmental-related taxations. Augmented mean group (AMG) and common correlated effect mean group (CCEMG) also support the findings of CS-ARDL estimates. Finally, the study calls for drastic actions in ASEAN countries to reduce GHG emissions, including environmentally friendly transportation services and environmental regulation taxes. This study also provides the guidelines to the regulators while developing policies related to control the GHG emission in the country.

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Section: Urbanization and The Environmentmentioning

confidence: 99%

Section: Urbanization and The Environmentmentioning

confidence: 99%

RETRACTED ARTICLE: Dynamic nexus between transportation, urbanization, economic growth and environmental pollution in ASEAN countries: does environmental regulations matter?

Huang

Sadiq

Chien

2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…This is based on greater financial development that can increase output and economic growth. Recent empirical works have employed expanded production theory to simulate the association amongst financial development, consumption of energy and carbon dioxide emissions (CO 2 ) [28][29][30][31]. However, the use of emissions from the agricultural sector makes the study very different from the available literature.…”

Section: Materials and Econometric Methodsmentioning

confidence: 99%

“…Second, this method can be employed even if the selected study variables are stationary at I(0), I(1) or a combination of both. Third, the ARDL modelling approach has been found much more efficient when dealing with a small sample size [29]. The ARDL-bound test cointegrations equations are given by:…”

Section: Estimation Techniquementioning

confidence: 99%

Does Energy-Growth and Environment Quality Matter for Agriculture Sector in Pakistan or not? An Application of Cointegration Approach

et al. 2019

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The main objective of this paper is to examine the long-term effects of financial development, economic growth, energy consumption (electricity consumption in the agriculture sector), foreign direct investment (FDI), and population on the environmental quality in Pakistan during the period of 1980 to 2016. We use CO2 emissions from the agriculture sector as a proxy indicator for environmental quality. We employ various unit root tests (e.g., ADF, PP, ERS, KPSS) and structural break unit root tests (Z&A, CMR) to check the stationarity and structural break in the data series. Cointegration tests, i.e., Johansen, Engle-Granger, and ARDL cointegration approaches are used to ensure their robustness. Results showed that significant long-term cointegration exists among the variables. Findings also indicated that an increase in financial development and foreign direct investment (FDI) improves environmental quality, whereas the increase in economic growth and electricity consumption in the agriculture sector degrades environmental quality in Pakistan. Based on the findings, we suggest policymakers should provide a conducive environment for foreign investment. Moreover, it is also suggested that a reliance on fossil fuels be reduced and a transition to renewable energy sources be encouraged to decrease the environmental pollution in the country.

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“…In order to overcome this problem, Dietz and Rosat [23] STIRPAT model rewrote by. The general form of STIRPAT model can be specified as follows:…”

Section: Theoretical Model-extended Stirpatmentioning

confidence: 99%

Exploration of Threshold Analysis in the Relation between Urbanization and Carbon Emissions: The Case of China

Sun¹,

Wang²

2018

OJBM

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In the process of urbanization, energy consumption has significant effect on carbon emissions. The aim of this paper is to analyze the impact of urbanization on carbon emissions for different income levels across 29 provinces of China during 1995-2015. The improved STIRPAT model provides the theoretical foundation for this research. Then, the threshold analysis was used to assess the effect of urbanization on carbon emissions. On the basis of the average annual income, two threshold points that divide the whole sample into three groups were identified, namely, 1) an average annual income of 7400 RMB and 2) an average annual income of 16,250 RMB. The result shows that effect of urbanization on CO 2 emissions varies in terms of income stages and specific regions. Finally, the policy implication was discussed.

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Modeling the effects of energy consumption and urbanization on environmental pollution in South Asian countries: a nonparametric panel approach

Cited by 56 publications

References 29 publications

RETRACTED ARTICLE: Dynamic nexus between transportation, urbanization, economic growth and environmental pollution in ASEAN countries: does environmental regulations matter?

RETRACTED ARTICLE: Dynamic nexus between transportation, urbanization, economic growth and environmental pollution in ASEAN countries: does environmental regulations matter?

Does Energy-Growth and Environment Quality Matter for Agriculture Sector in Pakistan or not? An Application of Cointegration Approach

Exploration of Threshold Analysis in the Relation between Urbanization and Carbon Emissions: The Case of China

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