The impact of renewable energy and innovation on carbon emission: An empirical analysis for OECD countries

Cheng, Cheng; Ren, Xiaohang; Zhen, Wang

doi:10.1016/j.egypro.2019.01.919

Cited by 144 publications

(78 citation statements)

References 12 publications

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“…In the same context, Cheng et al (2019) have studied the associations among the developments of patents as a technological innovation indicator and CO2 emissions for 36 OECD countries from 1996 to 2015 by using a panel quantile regression model. Empirical findings have shown that the coefficient values are not significant and even positive with CO2 emissions at different quantile levels.…”

Section: Epc-technological Transfer-environment Nexusmentioning

confidence: 99%

Understanding the Relationship between Electric Power Consumption, Technological Transfer, Financial development and Environmental Quality.

Kahouli

Alrasheedy

Chaaben

et al. 2021

Preprint

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This research paper attempts to investigate both the long-run and causality relationship among electric power consumption (EPC), technological transfer, financial development (FD), and environmental quality for the Saudi Arabia (KSA) economy from 1980 to 2019. In doing so, we propose a carbon emission function tested by incorporating multi-steps techniques such as autoregressive distributed lag (ARDL) has been exploited to determine the existence of cointegration or no; while vector error correction model (VECM) has been applied to decide the direction of causality. In this paper we have proposed two proxies of technological transfer, namely imported technology (MT) and Technical cooperation grants (TCG). The results indicate the existence of cointegration between the concerned series. Besides, the existence of a feed-back effect among variables (except TCG) in the long-run. However, in the short run feed-back effect exists among EPC and EnvQ; MT and EnvQ; EPC and MT. Thus, the paper provides original visions for policy makers to encourage the technological transfer by financing and supporting the electric energy sector which constitutes the main locomotive to improve the environment quality for the KSA.JEL classification : C32, C52, O11, Q43

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Section: Epc-technological Transfer-environment Nexusmentioning

confidence: 99%

Understanding the Relationship between Electric Power Consumption, Technological Transfer, Financial development and Environmental Quality.

Kahouli

Alrasheedy

Chaaben

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…have inhibitory effects on carbon emissions, while the others promote carbon emissions. Other scholars found the insignificant impacts of technological innovation on carbon emissions in OECD countries, G20 countries, and Japanese (Cheng et al, 2019;Cole et al, 2013;Erdoğan et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Low-carbon Innovation, Economic Growth and CO2 Emission: Evidence from a Dynamic Spatial Panel Approach in China

Cai-jiang

2021

Preprint

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Low-carbon technology innovation plays an essential role in carbon emission reduction worldwide. This study investigates how low-carbon innovation affects carbon emissions by the Dynamic Spatial Durbin Model based on the panel data of 30 Chinses provinces from 2007 to 2017. The empirical results show that: Firstly, low-carbon innovation decreases carbon emissions from local and neighbor, the decreasing effects are significant mainly in the short term. Secondly, the results of the heterogeneity test indicate that the weakening effect of low-carbon innovation in central regions is consistent with the national results. The weakening effects are shown in long-term indirect and short-term direct in eastern regions. Thirdly, there is an inverted-U curve between economic development and carbon emissions, confirming the environmental Kuznets curve (EKC) hypothesis. However, the inflection point is insurmountable under the current level of technology in China. Finally, The results also show the “Pollution Paradise” effect.

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“…-Mulali et al, 2016;Cheng et al, 2019;Liobikiene and Butkus, 2017;Liu, Zhang & Bae, 2017;Nassani, Aldakhil, Abro, & Zaman, 2017; Sarkodiea & Ozturk, 2020;Shafiei & Salim, 2014;Shujah-ur-Rahman et al, 2019;Sugiawan & Managi, 2016;Zoundi, 2017).…”

mentioning

confidence: 99%

Analysis of the environmental Kuznets curve in the NAFTA Countries, 1971-2014

Gómez¹,

Rodríguez²

2022

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Objetive: This paper analyzes the environmental Kuznets curve (ekc) for the North American Free Trade Agreement (nafta) countries during 1971-2014. Methodology: In this regard, unit root, co-integration, and causality tests are applied making use of the data panel approach. Results: Results suggest that the series in this research are integrated of order one, and a long-run relationship among variables is observed. Besides, the ekc hypothesis is confirmed. In addition, the analysis shows that renewable energy and trade openness contribute to reducing pollution in these countries. Limitations/implications: Further research should be done to include other variables such as financial development and human capital. Originality/value: The present paper contributes to understanding the relationship between trade openness and renewable energy consumption, on the one hand, and pollution, on the other. Conclusions: Policies concerned to trade openness and environmental issues should consider renewable energy and trade to reduce pollutant emissions in these countries.

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The impact of renewable energy and innovation on carbon emission: An empirical analysis for OECD countries

Cited by 144 publications

References 12 publications

Understanding the Relationship between Electric Power Consumption, Technological Transfer, Financial development and Environmental Quality.

Understanding the Relationship between Electric Power Consumption, Technological Transfer, Financial development and Environmental Quality.

Low-carbon Innovation, Economic Growth and CO2 Emission: Evidence from a Dynamic Spatial Panel Approach in China

Analysis of the environmental Kuznets curve in the NAFTA Countries, 1971-2014

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