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

Abstract

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.

Examining public private partnership investment in energy towards achieving sustainable development goal 7 for ASEAN region

“…Its GHGs are growing significantly. Myanmar is also doing well in renewable power generation as this bubble becomes more concentrated 77 .…”

Analyzing the Progress of China and the World in Achieving Sustainable Development Goals 7 and 13

“…Nevertheless, it remains a stark reality that approximately 733 million people globally still lack access to energy, while 2.4 billion people continue to lack access to modern cooking solutions. Recent research on this field has gained traction among scholars who found renewable energy consumption (REC) increased to 17.7% of total consumption in 2019, with the electricity sector forming a larger share of 26.2% of total final energy consumption [3][4][5]. The heat and transport sectors show significant potential for the penetration of renewable energy (RE).…”

Estimating the carbon dioxide emission levels of G7 countries: A count data approach

“…1,6,8 Similarly, quick electrification of final uses is required to achieve zero emissions within the power sector by the middle of the century, and energy efficiency will regulate demand levels. 9 Among the G7 economies, demand will grow to 25% in 2030, more than one-eighth in mid-century compared to 2020 levels, increasing the levels of electricity demand in final consumption from 22% to 30% in 2030 and approximately 56% in 2050. 1 The shares of wind and solar power supply increase among the G7 from 14% in 2020 to 40% in 2030 and from two-thirds by the midcentury.…”

“…More importantly, reducing emission levels within the G7 will depend on innovation; innovation will bring about a 30% reduction in G7 electricity emissions reduction under the NZE path using extra technologies. 1,9,10 Similarly, the power sector requires more investment than the overall energy sector in the NZE scenario. The total investment of $2T will grow to $3T by 2030.…”

“…More importantly, reducing emission levels within the G7 will depend on innovation; innovation will bring about a 30% reduction in G7 electricity emissions reduction under the NZE path using extra technologies. 1,9,10…”