The Causality between Participation in GVCs, Renewable Energy Consumption and CO2 Emissions

Zhi-heng, WU; Hou, Guisheng; Xin, Baogui

doi:10.3390/su12031237

Cited by 19 publications

(7 citation statements)

References 83 publications

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“…Given the negative ramifications of Climate change, there is the to transition to a low carbon economy. Many studies believe that innovation and changes in the energy systems are some of the ways to abate pollution and therefore avoid the menace of climate (Munir Ahmad et al, 2020;Al-mulali, 2011;Kang et al, 2019;Korkut Pata, 2021;Mehmood et al, 2020;Wu et al, 2020)…”

Section: Carbon Dioxide Emissionmentioning

confidence: 99%

Evaluating technological innovation impact: an empirical analysis of the offshore wind sector

Shi

Dou

et al. 2022

Environ Sci Pollut Res

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This study analyses the drivers that impact innovation on offshore wind energy for a select group of countries, applying the quantile and GMM approaches for a period between 2010-2019. The OLS results from the quantile analysis say the log of trademark, Carbon emissions, offshore wind capacity, and electricity from renewable energy are significant and impact on innovation regarding offshore wind energy. Generally, the Breusch-Pagan / Cook-Weisberg test for heteroskedasticity test reveals the variables have a constant variance, confirming the robustness of the findings. The quantile regression depicts that at 25 th and 75 th quantiles levels, the log of trademark, the log of trade flows, the log of scientific and technical journals quantile coefficients is significantly different from zero and exhibit varied effects on the explained variable patent.Similarly, the analysis applied the IV-GMM estimation in ivreg2 to identify the over restrictions, the Hansen J statistic, and give the robust moment of conditions analysis. The findings are consistent with prior analysis with the log of trademark, the log of offshore wind capacity, the log of carbon emissions, Scientific and technology journals, the log of patent, electricity from renewables to be significant and impact on innovation.The robustness was done on the GMM models, by applying the Huber-White-Sandwich estimator of the variance of the GMM linear models approximators. The ivreg2 robust analysis revealed that the estimates are efficient for homoskedasticity and Statistics robust to heteroskedasticity.Ultimately, the interaction term ''cross'' came out significant in the analysis. Signifying the importance of the interaction variables in scaling innovation. This study will sever as a reference document for policy formulators regarding scaling up innovation for offshore wind energy.

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Section: Carbon Dioxide Emissionmentioning

confidence: 99%

Evaluating technological innovation impact: an empirical analysis of the offshore wind sector

Shi

Dou

et al. 2022

Environ Sci Pollut Res

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“…The global value chain (GVC) not only bridges trade gaps among partner nations but also produces multifaceted reciprocal benefits through technological spillover and industrial technology consolidation. The GVC participation produces credible environmental outcomes, and two perspectives exist among researchers on the relationship between the GVC and the environment (Wu et al, 2020). One of the perspectives looked at the "pollution heaven" hypothesis and the possible damage to the environment in developing countries because of trade with developed countries.…”

Section: Literature Reviewmentioning

confidence: 99%

Tracing carbon emissions convergence along the way to participate in global value chains: A spatial econometric approach for emerging market countries

Cai

Qian

Nadeem

et al. 2022

Front. Environ. Sci.

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The proliferation of trade agreements has offered a viable framework for the economic and trade integration of many nations. Additionally, the growth and expansion of global value chains has increased prospects for knowledge and technological spillovers as well as the potential for production method convergence. This might have possible effects on the environment in both developed and developing nations. The objective of this study is to determine whether participation in global value chains (GVCs) can serve as a foundation for the convergence of carbon emission across nations. Spatial panel data econometrics is used to examine data from 22 emerging economies between 1995 and 2019 in order to provide an answer. The findings support the global value chains-based conditional carbon convergence of the countries and show a spatial link between global value chains participation and CO2 growth. Furthermore, results show that increasing global value chains participation with other variables; both directly and indirectly, via spillover effects, encourages closing the CO2 emission gap across nations. The findings show that global value chains may be able to increase how successful carbon efficiency initiatives are. Therefore, when developing environmental legislation, many aspects of global value chains participation and their advantages should be considered.

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“…A robust analysis of the global supply chain and manufacturing costs for components of Organic Rankine Cycle (ORC) turboexpanders and steam turbines used in geothermal power plants undertaken by Akar et al (2018) [42] is of particular interest as well. Lastly, Wu et al (2020) studied the causality between participation in GVCs and renewable energy consumption [43].…”

Section: Literature Reviewmentioning

confidence: 99%

Relationship between Countries’ Energy Indicators and the Indices of GVC Participation: The Case of APEC Member Economies

Дробот¹,

Макаров

Petrenko

et al. 2022

Energies

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In the 21st century the importance of global value chains continues to grow. There is a scientific gap in the research on the relationship between countries’ energy indicators and the GVC participation indices. Based on the analysis of the APEC member economies’ GVC participation, the presence of quantifiable links between the countries’ energy indicators and GVC participation indices was identified. APEC member countries have a higher index of forward GVC participation compared to a rather low index of backward participation. We have confirmed the following hypotheses. Countries with higher energy consumption and countries exporting fuel have higher forward GVC participation. Energy importing countries and countries with higher energy intensity have higher backward GVC participation. Countries with higher energy intensity have lower forward GVC participation than countries with lower energy intensity. It was concluded that concerted efforts of APEC member economies are needed to increase GVC sustainability and develop unified energy policy standards. Managerial implications of energy efficient and sustainable GVCs will include competitive advantages growth for all the countries and suppliers participating in a particular GVC.

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The Causality between Participation in GVCs, Renewable Energy Consumption and CO2 Emissions

Cited by 19 publications

References 83 publications

Evaluating technological innovation impact: an empirical analysis of the offshore wind sector

Evaluating technological innovation impact: an empirical analysis of the offshore wind sector

Tracing carbon emissions convergence along the way to participate in global value chains: A spatial econometric approach for emerging market countries

Relationship between Countries’ Energy Indicators and the Indices of GVC Participation: The Case of APEC Member Economies

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