Exploring the Effects of Economic Complexity and the Transition to a Clean Energy Pattern on Ecological Footprint From the Indian Perspective

Wan, Xiaowen; Jahanger, Atif; Usman, Muhammad; Rădulescu, Magdalena; Balsalobre‐Lorente, Daniel; Yu, Yang

doi:10.3389/fenvs.2021.816519

Cited by 56 publications

(23 citation statements)

References 79 publications

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“…This suggests that an inverse U-shaped curve exists in the relationship between GDP and CO 2 emissions in the three countries (return points are 3.98, 4.42, and 4.14, respectively). These findings are in line with the conclusion of earlier studies (Intisar et al 2022;Wan et al 2022;Usman and Hammar 2021;Sadiq et al 2022). On the other hand, the outcomes exposed that population growth plays a pivotal role in CO 2 emissions in Algeria, Saudi Arabia, Morocco, and Turkey in both long-run and short-run terms, especially in Saudi Arabia where a 1% increase in population increases CO 2 emissions by 4.67% in the longrun term (2.11% in Algeria, 1.19% in Morocco, and 0.71% in Turkey).…”

Section: Augmented Ardl Model Estimation Resultssupporting

confidence: 94%

The impact of economic uncertainty, economic growth and energy consumption on environmental degradation in MENA countries: Fresh insights from multiple thresholds NARDL approach

Ayad¹,

Sari-Hassoun²,

Usman

et al. 2022

Environ Sci Pollut Res

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This paper explores the influence of economic policy uncertainty on environmental quality in selected MENA countries depending on an augmented STIRPAT model over the period 1970–2020. ARDL model and its extensions like augmented ARDL, augmented NARDL, and MTNARDL models are applied to detect any possible effect from uncertainty index to carbon dioxide (CO 2 ) emissions. The empirical results reveal the validity of environmental Kuznet curve (EKC) curve in all the countries. Moreover, the results show that the uncertainty index enhances environmental degradation, especially in extremely large changes in Morocco, Turkey, and Iran. Besides, the findings reveal that energy consumption and population in the entire sample escalates CO 2 emissions over the study period. Consequently, policymakers in MENA countries should consider the economic uncertainty index, particularly in light of its recent rise, when developing any strategies and plans aimed at improving environmental standards, as well as the need to encourage the use of renewable energies in order to increase the percentage of their contribution to total energy consumption.

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Section: Augmented Ardl Model Estimation Resultssupporting

confidence: 94%

The impact of economic uncertainty, economic growth and energy consumption on environmental degradation in MENA countries: Fresh insights from multiple thresholds NARDL approach

Ayad¹,

Sari-Hassoun²,

Usman

et al. 2022

Environ Sci Pollut Res

Self Cite

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“…Our results support the view that the improved productive sophistication of a country increases investments in cleaner technology and positively impacts environmental quality. The empirical evidence on the effects of ECI on environmental degradation is like the previous findings of Doğan et al (2019), Laverde-Rojas et al (2021), andWan et al (2022). For trade openness, there is a linear liaison such that ecological footprint decreases significantly by −0.162% (FMOLS) and −0.370% (PMG-ARDL) for every 1% increase in trade openness in the long run, ceteris paribus.…”

Section: Resultssupporting

confidence: 74%

An empirical assessment of electricity consumption and environmental degradation in the presence of economic complexities

Šatrović

Adedoyin

2022

Environ Sci Pollut Res

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To a large extent, the theories and concepts behind the effect of ecological footprint have been the paramount concern of the recent literature. Since the rising and falling of environmental degradation have been a continuous issue since the first phase of development, determinants such as economic complexity may play a critical role in achieving long-term sustainable development in the framework of environmental Kuznets curve (EKC) paradigm. Therefore, this research expands on the notion of an EKC paradigm for the world’s top ten most complex economies by considering four variables, such as real GDP per capita, electricity consumption, trade openness, and a new putative factor of environmental obstacle, the economic complexity index (ECI). This is one of the first studies to look at the impact of ECI on the ecological footprint of a specific sample from 1998 to 2017. The findings demonstrate a continuous inverted U-shaped link between real GDP per capita, the square of real GDP per capita, and ecological footprint. The EKC hypothesis is found to be valid in the long term in the examined complex economies. The findings of the panel autoregressive distributed lag (ARDL) of the pooled mean group (PMG) and fully modified ordinary least squares (FMOLS) estimations demonstrate that in the long term, electric power usage contributed to the carbon footprints. Furthermore, the economic complexity index and trade openness increase environmental performance over time. To determine if there is causation between the variables, we employ the panel vector error correction model (VECM) framework. Particularly, the results show unidirectional causality running from electric power consumption to ecological footprint and bidirectional causal relationship between (1) economic growth and ecological footprint; (2) square of economic growth and ecological footprint; (3) economic complexity index and ecological footprint; and (4) trade openness and ecological footprint.

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“…The latter was measured in kilograms in terms of GDP based on the 2010 constant price. In prior research, the KOF globalization index was taken as the proxy variable to measure globalization in the United States ( 43 ), China ( 44 ), India ( 45 ), and a panel study ( 46 ). On the other hand, CO 2 emissions were taken as the proxy variable to measure the environment in prior studies ( 47 , 48 ).…”

Section: Methodsmentioning

confidence: 99%

Impact of globalization on the environment in major CO2-emitting countries: Evidence using bootstrap ARDL with a Fourier function

Chang

et al. 2022

Front. Public Health

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Alongside sustainable development as a major global aim, the contribution made by globalization to environmental issues has become crucial in recent decades. Prior studies have focused on how trade in globalization influences the environment. However, multiple economic, social, and political factors are also important, the integration of which needs to be considered in sustainable development. Sharp and smooth breaks in time series models are the consequence of real-world structures. Using the bootstrap autoregressive-distributed lag test with a Fourier function, the present study reexamined the nexus between globalization and the environment in China, the United States, and India. The empirical results indicate that in the United States, the nexus between globalization and the environment is cointegrated in the long-term. In the short term, globalization is improving the environment in the United States and India. However, in China, globalization is resulting in environmental degradation. This research will assist policymakers in developing comprehensive strategies for sustainable development.

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Exploring the Effects of Economic Complexity and the Transition to a Clean Energy Pattern on Ecological Footprint From the Indian Perspective

Cited by 56 publications

References 79 publications

The impact of economic uncertainty, economic growth and energy consumption on environmental degradation in MENA countries: Fresh insights from multiple thresholds NARDL approach

The impact of economic uncertainty, economic growth and energy consumption on environmental degradation in MENA countries: Fresh insights from multiple thresholds NARDL approach

An empirical assessment of electricity consumption and environmental degradation in the presence of economic complexities

Impact of globalization on the environment in major CO2-emitting countries: Evidence using bootstrap ARDL with a Fourier function

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