Export Potential of Climate Smart Goods in India: Evidence from the Poisson Pseudo Maximum Likelihood Estimator

Kumar, Pushp; Sahu, Naresh Chandra; Ansari, Mohd Arshad

doi:10.1080/08853908.2021.1890652

Cited by 11 publications

(5 citation statements)

References 45 publications

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“…As a result, the PCSE model is used in this research. Several researchers have recently used the PCSE method (Bailey and Katz 2011 ; Nathaniel et al 2021 ; Kumar et al 2021a ; Kumar et al 2021 ; Kongkuah et al 2021 ). For the purpose of robustness, we have applied the Newey-West standard error model.…”

Section: Data Sources and Methodsmentioning

confidence: 99%

Do energy consumption and environmental quality enhance subjective wellbeing in G20 countries?

Kumari

Kumar

Sahu

2021

Environ Sci Pollut Res

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G20 countries are responsible for more than 80% of global energy consumption and the largest CO 2 emissions in the world. Literature related to the energy consumption-environmental quality-subjective wellbeing nexus is limited and lacks consensus. This paper analyses the impact of energy consumption and environmental quality on subjective wellbeing in G20 countries from 2006 to 2019 using a panel-corrected standard error (PCSE) model. Cantril life ladder data is used as a proxy of subjective wellbeing. For robustness, the Newey-West standard error model is used. The findings reveal that renewable energy consumption and environmental quality, i.e. lesser carbon emissions, enhance subjective wellbeing in G20 countries. In contrast, non-renewable energy consumption degrades subjective wellbeing. Moreover, the study also finds bidirectional causality between renewable energy consumption, non-renewable energy consumption, and economic growth. The policymakers of these countries should encourage renewable energy production and its consumption to reduce carbon emissions for conserving the environment and enhancing their people’s subjective wellbeing.

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Section: Data Sources and Methodsmentioning

confidence: 99%

Do energy consumption and environmental quality enhance subjective wellbeing in G20 countries?

Kumari

Kumar

Sahu

2021

Environ Sci Pollut Res

Self Cite

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“…A model with good properties should be able to reasonably configure the fitting accuracy and the number of parameters. Guided by the basic idea of this criterion, the relative merits of a model fitting result can be considered from two aspects: on the one hand, from the unknown parameters of the fitted model, usually, the number of variables and the difficulty of parameter estimation are proportional; that is, the more variables in the model, the difficulty of parameter estimation will increase [16]. e greater the number of variables in the model, the greater the difficulty of parameter estimation and the greater the unknown risk, as shown in Figure 2.…”

Section: Nonlinear Stochastic Matrix Model Designmentioning

confidence: 99%

A Nonlinear Stochastic Matrix Model for the Analysis of the Association between International Trade Growth and Environmental Change

Zhang

2022

Mathematical Problems in Engineering

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This study uses a nonlinear stochastic matrix for an in-depth analysis of the association between international trade growth and environmental change. First, for a class of uncertain stochastic nonlinear time-lag systems, this study investigates its time-lag-related robust stochastic stabilization problem. A memory-free state feedback controller for the system is then obtained to ensure the effectiveness of the system performance. This makes the system more general and the corresponding theoretical results less conservative. Finally, numerical examples are given to further verify the validity and feasibility of the results. The “tariff measure” based on the magnitude of adverse changes in trade policy is not an accurate measure of trade policy uncertainty; the stochastic volatility method measures trade policy uncertainty by including tariff fluctuations that have been communicated in advance in the trade policy uncertainty indicator and fail to identify the different commodities that occur during the current trade friction. The trade policy uncertainty index constructed through textual analysis of newspapers can better reflect the trade policy uncertainty during this trade friction between China and the United States, and the rich time-varying nature can also reflect the alternating changes of tension and détente in economic and trade relations over some time. The analysis of the mechanism reveals that exporters have fewer emission reduction facilities than nonexporters but significantly lower energy consumption intensity for coal and water than nonexporters, reasoning that the mechanism by which exporters are more environmentally friendly than nonexporters lies in their cleaner energy use mix. Following the conclusions of this study, relevant policy recommendations are put forward, specifically the use of more efficient energy sources in the production process and more investment in energy efficiency and emission reduction to combat pollution.

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“…The definition of trade openness and how it is measured has been ambiguous (Ngouhouo et al, 2021;Udeagha and Ngepah, 2021). Trade openness is traditionally assessed by using the trade to GDP ratio (Kumar et al, 2021).…”

Section: Data and Model Specificationmentioning

confidence: 99%

Key drivers of consumption-based carbon emissions: empirical evidence from SAARC countries

Shekhawat

Yadav

Sanu³

et al. 2021

Environ Sci Pollut Res

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To devise an appropriate climate policy dealing with environmental degradation, reliable measurement of CO2 emissions is essential. In the recent past, most researchers have utilized production-based emissions in their studies, ignoring the important role of consumption-based emissions in environmental degradation. Therefore, the present research examines the drivers of consumption-based CO2 emissions in SAARC nations over the period 1990 to 2018. By employing traditional and second-generation panel cointegration methodologies, the study, more specifically, explores the link between consumption-based CO2 emissions and its four macroeconomic determinates, namely, GDP growth, energy consumption, FDI, and trade openness (measured by Composite Trade Share Index). The study also applies the FMLOS and DOLS techniques for calculating the long-run elasticities of regressors with respect to the explained variable. The results establish a cointegration relationship between the variables and validate the "EKC hypothesis" for the SAARC region. It is also found that in the long run, as expected, energy consumption enhances the consumption-based CO2 emissions while FDI and trade openness improve the environmental quality by plummeting emissions. Most importantly, the study rejects the "pollutionhaven hypothesis" for the SAARC region based on the negative and statistically significant coefficient of FDI.Lastly, based on the results, some policies are recommended for the abatement of environmental degradation in SAARC countries. As the SAARC nations rely heavily on fossil-based energy, it is suggestive for these economies to enhance the level of energy efficiency and augment the share of renewable energy sources in the energy-mix. Furthermore, the policy-designers in this region should encourage trade openness and liberalize inward FDI for containing consumption-based emissions.

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Export Potential of Climate Smart Goods in India: Evidence from the Poisson Pseudo Maximum Likelihood Estimator

Cited by 11 publications

References 45 publications

Do energy consumption and environmental quality enhance subjective wellbeing in G20 countries?

Do energy consumption and environmental quality enhance subjective wellbeing in G20 countries?

A Nonlinear Stochastic Matrix Model for the Analysis of the Association between International Trade Growth and Environmental Change

Key drivers of consumption-based carbon emissions: empirical evidence from SAARC countries

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