Data Selection and Environmental Kuznets Curve Models - Environmental Kuznets Curve Models, Data Choice, Data Sources, Missing Data, Balanced and Unbalanced Panels

Sinha, Avik; Shahbaz, Muhammad; Balsalobre, Daniel

doi:10.1016/b978-0-12-816797-7.00007-2

Cited by 43 publications

(21 citation statements)

References 101 publications

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“…This boosting in the financialization also needs to be complemented by bringing forth sectoral growth, which might have an evolutionary impact on the CO2 emissions. From a theoretical standpoint, this evolutionary impact is captured by means of the EKC hypothesis framework, as the linear and squared terms of per capita income capture the scale and composition effects exerted by the economic growth, which signify the inclusive evolutionary impact of the growth trajectory (Sinha and Bhattacharya, 2016;Sinha et al, 2019). Now, analysis of this association is necessary from the perspective of an SDG-oriented policymaking for the BRICS nations, and therefore, this association needs to be represented in mathematical terms.…”

Section: Materials and Methods 31 Empirical Frameworkmentioning

confidence: 99%

The role of information and communication technology in encountering environmental degradation: Proposing an SDG framework for the BRICS countries

Chien

Anwar

Hsu

et al. 2021

Technology in Society

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285

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Section: Materials and Methods 31 Empirical Frameworkmentioning

confidence: 99%

The role of information and communication technology in encountering environmental degradation: Proposing an SDG framework for the BRICS countries

Chien

Anwar

Hsu

et al. 2021

Technology in Society

Self Cite

285

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“…This study also uses Iterative GMM and FMOLS methods for robust analysis. These both techniques cover the issue of endogeneity problem among the variables (Dogan & Seker, 2016;Fei et al, 2011;Sinha et al, 2019). Once, the long-run coefficients of cointegration equation has been estimated, the next step is to measure error correction term (ECT).…”

Section: Application Of Ardl Modelmentioning

confidence: 99%

Analyzing the association between innovation, economic growth, and environment: divulging the importance of FDI and trade openness in India

Zameer

Yasmeen

Zafar

et al. 2020

Environ Sci Pollut Res

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123

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The objective of this paper is to explore the nexus of innovation-environment and economic growth in the context of the Indian economy. To achieve the study objective, we explored the role of technological innovation, FDI, trade openness, energy use and economic growth toward carbon emissions. Using the data of 1985-2017, the study employed ARDL bound testing and VECM methods to capture the effects of technological innovation, trade openness, FDI, energy use and economic growth on CO 2 emissions. Empirical estimation has confirmed the existence of long-run cointegration. Similarly, in the long-run, it is found that trade openness, energy use and economic growth positively reinforce CO 2 emissions. In contrast, technological innovation and FDI negatively reinforce CO 2 emissions in the long-run. Further, VECM indicate that the relationship among innovation, trade openness, and energy use is bidirectional in the long-run.

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“…We faced the problem of missing data for BOD and TC for a few years for certain monitoring stations. To address the problem of missing data points, Sinha et al (2019) advise to fill up data points by linear interpolation and extrapolation or sometimes by simple or moving average. We have filled the missing data point using the moving average.…”

Section: Methodsmentioning

confidence: 99%

“…TC indicate the presence of pathogens and are essential for assessing the impact of human activity on the river. Methodology Sinha et al (2019) pointed out that the data used in EKC modelling might not be standardised in terms of base year. Before carrying out the empirical analysis, all variables should be brought to one common base year as it will ensure the nearly similar temporal impact on the variables.…”

Section: Datamentioning

confidence: 99%

An Empirical Analysis of the Environmental Kuznets Curve for River Water Pollution in Uttar Pradesh

Sheikh¹,

Hassan

2020

The Indian Economic Journal

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This article attempts to test the environmental Kuznets curve (EKC) hypothesis for river water pollution for a panel dataset of 15 districts of Uttar Pradesh. There are sharp socio-economic and demographic variations within India; therefore, a regional study can give a better insight into the pollution income relationship of a specific region compared to a national study. Panel unit root tests, Pedroni cointegration test and fully modified ordinary least square (FMOLS) method have been employed to investigate EKC for two water pollutants—biochemcial oxygen demand (BOD) and total coliform (TC). Findings suggest that there is no evidence of an EKC for BOD, but results validate the existence of an EKC for TC. The Swachha Bharat Mission launched in 2014 aimed at eliminating open defecation and increasing toilet access in rural India can be a credited for the reduction in TC levels since 2014. The success of NAMAMI Gange so far seems to be localised to regions where political thrust has expedited the completion of projects.

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Data Selection and Environmental Kuznets Curve Models - Environmental Kuznets Curve Models, Data Choice, Data Sources, Missing Data, Balanced and Unbalanced Panels

Cited by 43 publications

References 101 publications

The role of information and communication technology in encountering environmental degradation: Proposing an SDG framework for the BRICS countries

The role of information and communication technology in encountering environmental degradation: Proposing an SDG framework for the BRICS countries

Analyzing the association between innovation, economic growth, and environment: divulging the importance of FDI and trade openness in India

An Empirical Analysis of the Environmental Kuznets Curve for River Water Pollution in Uttar Pradesh

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