Modelling the Nexus Between Foreign Aid and Economic Growth: A Case of Afghanistan and Egypt

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.

Section: Theoretical Model Data Description and Econometric Methodologymentioning

confidence: 99%

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

Gupta

Saini

et al. 2021

Economic Structures

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“…[Colour figure can be viewed at wileyonlinelibrary.com] are converted to econometric format in the form of intercept, the coefficients and error term as specified in Equations ( 3) 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.…”

Section: Innovation Improved Efficiency Emissions Reductionmentioning

confidence: 99%

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

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

“…Whereas gross fixed capital formation and labor force participation rate are a proxy for labor and capital, respectively by following Cobb-Douglass production function. All the data are converted into a natural logarithm form to avoid the heterogeneity and issues related to outliers except inflation and real interest rate, since there are negative values, which poses a hurdle for converting to logarithm form of these variables [6,34,[50][51][52][53][54].…”

Section: Data Sourcesmentioning

confidence: 99%

The impact of remittance inflows on economic growth, unemployment and income inequality: An international evidence

Pal

Patel

et al. 2021

IJEPS

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This study explores the impact of remittance inflows on economic growth, unemployment, and income inequality for high-, low-, and middle-income countries from 1991 to 2020 using fixed effects, random effects, and fully modified ordinary least square estimates. The outcomes confirm that remittance inflows spur the economic growth not only in low-and middle-income countries, but also in high-income countries. However, the remittance inflows increase the unemployment in high-income countries while reducing it in low-and middle-income countries. The income inequality model validated the income inequality mitigating role of remittance inflows across all countries. Based on the estimated outcomes, the study proposes possible policy measures in concluding section.