Role of trade openness, export diversification, and renewable electricity output in realizing carbon neutrality dream of China

Li, Menghan; Ahmad, Munir; Fareed, Zeeshan; Hassan, Taimoor; Kırıkkaleli, Derviş

doi:10.1016/j.jenvman.2021.113419

Cited by 157 publications

(70 citation statements)

References 38 publications

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“…A 1% improvement in export diversification mitigates GHG emissions by −0.70%, −1.68% and −2.46% in the case of FMOLS, DOLS and FE, respectively. These empirical results are corroborated with the findings of Li et al (2021), Shahzad et al (2020) and Wang et al (2021), but contradict Mania (2020) and Wang et al (2020). Agricultural value-added is the most significant variable in all estimates.…”

Section: Resultssupporting

confidence: 84%

“…When the heterogeneous coefficients of export diversification increase through the 10 th to 90 th quantiles, the intensity of GHG emissions decreases from −0.03 to −5.12. A point that emerges from the findings is that more ED appears to lead to a favorable direction by preserving the environment (Shahzad et al, 2020;Li et al, 2021;Wang et al, 2021). In the case of agriculture, the results exert statistically significant and heterogeneous coefficients among quantiles.…”

Section: Resultsmentioning

confidence: 83%

“…They established a negative influence of product diversification on CO 2 emissions for developed nations while positively contributing to developing countries. Li et al (2021) applied a novel statistical technique and found that export diversification mitigates CO 2 emissions from 1989 to 2019 in China. In the case of BRICS countries, Sharma R. et al (2021) reported the favorable interconnection of export diversification with air quality.…”

Section: Literature Reviewmentioning

confidence: 99%

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Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression

Rehman

Fareed

Salem

et al. 2021

Front. Environ. Sci.

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Sustainable development remains unattainable unless we move to reduce the negative impact of economic factors on environmental quality. It is noteworthy to provide new evidence on whether and how the empirical association between export diversification, agricultural value-addition, renewable energy, and regulatory quality with greenhouse gas (GHG) emissions evolved in Asian countries from 1996 to 2014. The study examines the relationships between these variables using current panel data techniques. The econometric procedure includes second-generation cointegration and unit root tests together with a novel Method of Movements Quantile Regression (MMQR). This approach offers an asymmetric relationship between the variables and is very robust to outliers compared to traditional quantile regression. The empirical outcomes show that export diversification, renewable energy, and regulatory quality are significantly and negatively associated with GHG emissions. In contrast, agricultural value-added in Asia has become a source of increased GHG emissions. Our findings are also robust with alternate specifications, including fully modified, dynamic and fixed effect regressions. This study will help policymakers for diversifying their export portfolio while ensuring a sustainable environment in Asia.

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Section: Resultssupporting

confidence: 84%

Section: Resultsmentioning

confidence: 83%

Section: Literature Reviewmentioning

confidence: 99%

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Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression

Rehman

Fareed

Salem

et al. 2021

Front. Environ. Sci.

Self Cite

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“…This study aims to examine the impact of renewable energy, non-renewable energy, income and export product diversification on the load capacity factor in Indonesia. While many studies have examined the environmental effects of export diversification in developing countries such as China, Korea, and Turkey (see, e.g., Gozgor and Can, 2016;Liu et al, 2018;Li et al, 2021), Indonesia has been neglected.…”

Section: Introductionmentioning

confidence: 99%

Role of Export Diversification and Renewable Energy on the Load Capacity Factor in Indonesia: A Fourier Quantile Causality Approach

Fareed

Salem²,

Adebayo

et al. 2021

Front. Environ. Sci.

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131

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Sustainable development and reducing environmental pressure are major issues that concern developed as well as developing countries. Although researchers widely use carbon dioxide emissions and ecological footprint within the scope of environmental degradation, a more comprehensive ecological indicator is needed to assess environmental sustainability. In this context, the load capacity factor enables a comprehensive environmental sustainability assessment through the simultaneous analysis of biocapacity and ecological footprint. However, there are few studies analyzing the determinants of load capacity factor and this study aims to fill this gap for Indonesia. Using the recently developed Fourier quantile causality test, this study investigates the impact of income, export diversification, non-renewable and renewable energy consumption on the load capacity factor for Indonesia during 1965Q1–2014Q4. The results show unidirectional causality from non-renewable energy consumption to the load capacity factor at all quantiles, while income, export diversification, and renewable energy are the causes of environmental quality at middle and higher quantiles (within 0.5, 0.7, and 0.9). Most importantly, renewable energy and export diversification increase the load capacity factor and thus support environmental quality. In contrast, an increase in income and consumption of non-renewable energy reduces the load capacity factor. These results highlight the importance of renewable energy and export diversification for the sustainable development of Indonesia.

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“…Conversely, the study of [49] for 9 Oil exporting Nations using the AMG and CS-ARDL for the dataset for period 1990-2018 and demonstrated that a negative and significant association between export and CCO 2 . The study of [50] confirmed a negative association between export and CCO 2 in RCEP economies over the period 1990-2020 using the CS-ARDL. Furthermore, the DH causality approach established a bidirectional causal association between export and CCO 2 .…”

Section: Environmental Degradation and Exportmentioning

confidence: 59%

Asymmetric Impact of International Trade on Consumption-Based Carbon Emissions in MINT Nations

et al. 2021

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The association between carbon emissions and international trade has been examined thoroughly; however, consumption-based carbon emissions, which is adjusted for international trade, have not been studied extensively. Therefore, the present study assesses the asymmetric impact of trade (import and export) and economic growth in consumption-based carbon emissions (CCO2) using the MINT nations (Mexico, Indonesia, Nigeria and Turkey) as a case study. We applied the Nonlinear ARDL to assess this connection using dataset between 1990 and 2018. The outcomes from the BDS test affirmed the use of nonlinear techniques. Furthermore, the NARDL bounds test confirmed long-run association between CCO2 and exports, imports and economic growth. The outcomes from the NARDL long and short-run estimates disclosed that positive (negative) shocks in imports increase (decrease) CCO2 emissions in all the MINT nations. Moreover, positive (negative) shocks in exports decrease (increase) CCO2 emissions in all the MINT nations. As expected, a positive shock in economic growth triggers CCO2 emissions while a negative shift does not have significant impact on CCO2 emissions in the MINT nations. Furthermore, we applied the Gradual shift causality test and the outcomes disclose that imports and economic growth can predict CCO2 emissions in the MINT nations. The study outcomes have significant policy recommendations for policymakers in the MINT nations.

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Role of trade openness, export diversification, and renewable electricity output in realizing carbon neutrality dream of China

Cited by 157 publications

References 38 publications

Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression

Do Diversified Export, Agriculture, and Cleaner Energy Consumption Induce Atmospheric Pollution in Asia? Application of Method of Moments Quantile Regression

Role of Export Diversification and Renewable Energy on the Load Capacity Factor in Indonesia: A Fourier Quantile Causality Approach

Asymmetric Impact of International Trade on Consumption-Based Carbon Emissions in MINT Nations

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