Determinants of material footprint in BRICS countries: an empirical analysis

Sahoo, Malayaranjan; Saini, Seema; Villanthenkodath, Muhammed Ashiq

doi:10.1007/s11356-021-13309-7

Cited by 31 publications

(16 citation statements)

References 98 publications

(93 reference statements)

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“…To be used for empirical estimation, Equations () and (2) are converted to econometric format in the form of intercept, the coefficients and error term as specified in Equations () and (4). The data converted to their natural logarithm (LN) form not only reduces the skewed distribution of the variables but also enables us to get the best estimates of the carbon emissions modelling by following (Sahoo et al ., 2021; Villanthenkodath and Mahalik, 2021; Villanthenkodath and Mushtaq, 2021). Since eco‐friendly technological collaboration (EINC) is a part of total innovations (INC), therefore we have created separate carbon emissions Models (Model 1 & Model 2) for our empirical setting.

Model 1 : {italicLNCO}_{2 t} = α_{1} + α_{2} {italicLNEINC}_{t} + α_{3} {italicLNEC}_{t} + α_{4} {italicLNGDP}_{t} + ε_{1 t}

Model 2 : {italicLNCO}_{2 t} = α_{1} + α_{2} {italicLNINC}_{t} + α_{3} {italicLNEC}_{t} + α_{4} {italicLNGDP}_{t} + ε_{2 t}

…”

Section: Data Conceptual Framework and Empirical Methodsmentioning

confidence: 99%

Does overseas eco‐friendly innovation collaboration matter for environmental quality sustainability in India?

Villanthenkodath

Mahalik

2022

OPEC Energy Review

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The nexus between technological innovations and environmental quality has been much discussed in the field of energy economics and policy. However, the role of overseas eco-friendly innovation collaboration on environmental quality in India remains unaddressed. In such a line, our study raises the question of whether overseas eco-friendly innovation collaboration and total technological innovations collaboration are important towards health protection of the natural environment in India. This motivates us to study their effects on India's carbon dioxide emissions function in the presence of energy consumption and economic growth as important control variables. The usage of annual data from 1985 to 2016 permits us to use traditional and structural break unit root tests before the application of ARDL model to evaluate the long-run relationship between the variables. Besides confirming the long-run relationship among the variables, we find that eco-friendly innovation and total innovation collaborations drive health of the natural environment while energy consumption impedes it. The adverse effect of economic growth on environmental quality becomes ineffective. These findings are robust to the usage of alternative techniques, urging climate policymakers in India to house greater overseas eco-friendly innovation collaboration with other advanced and emerging economies to drive environmental quality sustainability in the long run. Environmental quality sustainability in India

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Model 1 : {italicLNCO}_{2 t} = α_{1} + α_{2} {italicLNEINC}_{t} + α_{3} {italicLNEC}_{t} + α_{4} {italicLNGDP}_{t} + ε_{1 t}

Model 2 : {italicLNCO}_{2 t} = α_{1} + α_{2} {italicLNINC}_{t} + α_{3} {italicLNEC}_{t} + α_{4} {italicLNGDP}_{t} + ε_{2 t}

…”

Section: Data Conceptual Framework and Empirical Methodsmentioning

confidence: 99%

Does overseas eco‐friendly innovation collaboration matter for environmental quality sustainability in India?

Villanthenkodath

Mahalik

2022

OPEC Energy Review

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“…The selection of years was dictated by the availability of data for all the variables, particularly the energy structure data, which is available only up to 2014 in the World Development Indicators. The data were converted into the natural logarithm for the empirical analysis by the following studies (Pal et al 2021 ; Sahoo et al 2021 ; Villanthenkodath and Arakkal 2020 ; Villanthenkodath and Mushtaq 2021 ; Ansari and Villanthenkodath 2021 ; Villanthenkodath and Mahalik 2021 ).…”

Section: Theoretical Model Data Description and Econometric Methodologymentioning

confidence: 99%

Impact of Economic Structure on the Environmental Kuznets Curve (EKC) hypothesis in India

Villanthenkodath

Gupta

Saini

et al. 2021

Economic Structures

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This study aims to evaluate the impact of economic structure on the Environmental Kuznets Curve (EKC) in India. The present study deviates from the bulk of study in the literature with the incorporation of both aggregated and disaggregated measures of economic development on the environmental degradation function. For the empirical analysis, the study employed the Auto-Regressive Distributed Lag (ARDL) bounds testing approach of cointegration to analyse the long-run and short-run relationship during 1971–2014. Further, the direction of the causality is investigated through the Wald test approach. The results revealed that the conventional EKC hypothesis does not hold in India in both aggregated and disaggregated models since economic growth and its component have a U-shaped impact on the environmental quality in India. However, the effect of population on environmental quality is positive but not significant in the aggregated model. Whereas, in the disaggregated model, it is significantly affecting environmental quality. Hence, it is possible to infer that the population of the country increases, the demand for energy consumption increase tremendously, particularly consumption of fossil fuel like coal, oil, and natural gas, and is also evident from the energy structure coefficient from both models. This increase is due to the scarcity of renewable energy for meeting the needs of people. On the contrary, urbanization reduces environmental degradation, which may be due to improved living conditions in terms of efficient infrastructure and energy efficiency in the urban area leading to a negative relation between urbanization and environmental degradation.

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“…This section could be divided into three sub-sections: first, we focus on treating renewable and non-renewable energy consumption-emission nexus (Sahoo and Sahoo, 2020). Second, we mention the role played by trade and FDI in carbon emission effects (Gizem et al, 2017;Shahbaz et al, 2015;Usman et al, 2022b;Sahoo et al, 2021a;Sahoo and Sahoo, 2019;Sahoo et al, 2021b;Villanthenkodath et al, 2021;Gupta et al, 2022;Rout et al, 2022;Sahoo and Sahoo, 2020;Ali et al, 2022), and finally, we show the inclusion of urbanization in energy and environmental function (Sheng et al, 2017;Yang et al, 2021a;Qayyum et al, 2021;Jahanger et al, 2022a).…”

Section: Literature Reviewmentioning

confidence: 74%

Role of technological innovation, renewable and non-renewable energy, and economic growth on environmental quality. Evidence from African countries

et al. 2022

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This study examines the impact of renewable and non-renewable energy consumption on carbon emissions, considering the role of population density, urbanization, foreign direct investment, technological innovation, and trade openness for African countries from 1990 to 2019. We apply an advanced econometric methodology like the cross-sectional autoregressive distributed model (CS-ARDL) for long-run and short-run estimation, which allows for the cross-sectional dependencies and slope heterogeneity. Our finding shows that the non-renewable resources, population density, urbanization, and foreign direct investment contribute to the carbon emissions; in contrast, renewable resources and trade openness reduce the carbon emissions in African countries. Results also report a unidirectional causality from non-renewable energy consumption to carbon emissions, while there is evidence of a feedback hypothesis between renewable energy consumption and carbon emissions. This study provides several policy implications for sustainable development.

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Determinants of material footprint in BRICS countries: an empirical analysis

Cited by 31 publications

References 98 publications

Does overseas eco‐friendly innovation collaboration matter for environmental quality sustainability in India?

Does overseas eco‐friendly innovation collaboration matter for environmental quality sustainability in India?

Impact of Economic Structure on the Environmental Kuznets Curve (EKC) hypothesis in India

Role of technological innovation, renewable and non-renewable energy, and economic growth on environmental quality. Evidence from African countries

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