Environmental Kuznets curve hypothesis: asymmetry analysis and robust estimation under cross-section dependence

Ng, Cheong-Fatt; Choong, Chee‐Keong; Lau, Lin‐Sea

doi:10.1007/s11356-020-08351-w

Cited by 47 publications

(21 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the empirical studies usually ignore the potential problem of endogeneity of the variables (Higon et al 2017). Lastly, ICT literature typically does not pay attention to the existence of cross-sectional dependence (CSD) in the data (Dabbous 2018;Ng et al 2020). However, ignoring CSD may cause loss of efficiency in the estimator and may provide biased estimates.…”

Section: Introductionmentioning

confidence: 99%

Information and communication technology (ICT) and environmental sustainability: a panel data analysis

Khan

Sana

Arif

2020

Environ Sci Pollut Res

View full text Add to dashboard Cite

This study investigates the impact of information and communication technology (ICT) on carbon dioxide emissions for a panel of 91 countries over the period 1990 to 2017. The study constructs an ICT index through principal component analysis and tests for the presence of cross-sectional dependence (CSD) in the data. The study employs pooled ordinary least squares, fixed-effects model, and system-generalized method of moments estimation techniques with panel-corrected standard errors (PCSE) to tackle the issues of CSD in the data. The findings of the study show that ICT reduces CO 2 emissions for the full sample of countries. However, the comparative study of developed and developing countries depicts that ICT encourages environmental sustainability in developed countries whereas opposite results are found for developing countries. Moreover, presence of the environmental Kuznets curve is confirmed for the full sample as well as for developed and developing countries. It suggests that with higher levels of development of a country, it would be possible to contribute towards environmental sustainability along with ICT diffusion. Therefore, the outcome of this study may be helpful for policymaker and policies may be designed to encourage ICT investments in developing countries, as ICT will take care of environmental sustainability with higher levels of development.

show abstract

Section: Introductionmentioning

confidence: 99%

Information and communication technology (ICT) and environmental sustainability: a panel data analysis

Khan

Sana

Arif

2020

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…The results of Cavlovic et al (2000) revealed that both methodological choices and pollutant types tended to affect income turning points and change the evidence of the validity of the EKC. Again, the EKC results of Ng et al (2020) varied by different estimators across countries. Therefore, as Stern (2004Stern ( , 2017 argued, new approaches are needed to disentangle the true relations between income and environment from a cross-country perspective.…”

Section: Estimation Of Long-run Relationshipsmentioning

confidence: 99%

“…These countries also have significant development in renewable energy sources like hydroelectric, wind, and solar power. For example, as Ng et al (2020) argued, China and India are currently among the leading investors in renewable energy in the world. The structural impact has been underlined by several meta-analysis studies as well.…”

Section: Estimation Of Long-run Relationshipsmentioning

confidence: 99%

“…Thus, "growing green" does not necessarily mean "not growing gray" and vice versa in our case as countries may have both greening and graying sectors. Additionally, the varied results of CCEMG and DOLS estimations in the IEEs sub-panel highlight the importance of the inspection of CD and heterogeneity before performing a panel data analysis as suggested by Maddala and Wu (2000), Baltagi and Pesaran (2007), Chudik et al (2011), and Ng et al (2020).…”

Section: Estimation Of Long-run Relationshipsmentioning

confidence: 99%

“…and non-economic (e.g., governance, political and social globalization, urbanization, population, etc.) factors (Cavlovic et al 2000;Stern 2004;Tamazian et al 2009; Apergis and Ozturk 2015;Shahbaz et al 2016;Stern 2017;Allard et al 2018;Shahbaz et al 2018;Dogan et al 2019;Sinha et al 2019;Ng et al 2020). The EKC pattern is quite attractive as it implicitly suggests no additional environmental policies since economic growth is also good for the environment in the long run.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Where is the gray side of green growth? Theoretical insights, policy directions, and evidence from a multidimensional approach

Demiral

2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

Addressing the geographical relocation of the pollution-intensive gray side of low-carbon green production, our study analyzes potential determinants of green and gray growth performance of industrialized/developed countries (IDCs) and industrializing/ emerging economies (IEEs) over the 1996-2015 period. We define green growth by low-carbon output, while we link gray growth to comparative advantages of pollution havens. Green and gray growth models include such predictors as domestic income and foreign direct investment (FDI) together with composite indices for globalization, environmental policy stringency (EPS), industrialization, and control of corruption. Considering non-stationarity, cross-section dependency, endogeneity, and heterogeneity concerns, we employ bootstrap and residual-based cointegration analyses followed by long-run estimations using the Common Correlated Effects Mean Group (CCEMG) and Dynamic Ordinary Least Squares (DOLS) estimators and causality examination through Dumitrescu-Hurlin and Emirmahmutoglu-Kose tests. The key findings of the study are as follows: (i) income is positively associated with green growth for both IEEs and IDCs, whereas the income-gray growth nexus is negative for IEEs. (ii) Although inward FDI stocks are positively related to green and gray growth of IEEs and outward FDI stocks are negatively associated with green and gray growth of IDCs, these relationships are mediated by EPS. (iii) Globalization encourages both green and gray growth for IDCs. (iv) Even though EPS inhibits green growth and encourage gray growth in IEEs, these direct effects widely depend on the indirect effects of control of corruption. (v) IEEs' higher gray growth performance is substantially explained by their increased industrial competitiveness, whereas the link is negative for IDCs. (vi) Control of corruption fosters both green and gray growth in IEEs. Overall, "growing gray" does not necessarily mean "not growing green" and vice versa. Globally, the low-carbon benefits of greening countries may be counterbalanced by the environmental costs of graying economies. From a policy perspective, IEEs need to reinforce environmental policies by green efficiency, green industrialization, and anti-corruption plans to decouple economic growth from carbon dioxide emissions.

show abstract

Can education lower the environmental degradation? Bootstrap panel Granger causality analysis for emerging countries

Aytun

Akın

2021

Environ Dev Sustain

View full text Add to dashboard Cite

Environmental Kuznets curve hypothesis: asymmetry analysis and robust estimation under cross-section dependence

Cited by 47 publications

References 43 publications

Information and communication technology (ICT) and environmental sustainability: a panel data analysis

Information and communication technology (ICT) and environmental sustainability: a panel data analysis

Where is the gray side of green growth? Theoretical insights, policy directions, and evidence from a multidimensional approach

Can education lower the environmental degradation? Bootstrap panel Granger causality analysis for emerging countries

Contact Info

Product

Resources

About