Do technological innovations promote green growth in the European Union?

Nosheen, Misbah; Iqbal, Javed; Abbasi, Muhammad Ali

doi:10.1007/s11356-020-11926-2

Cited by 51 publications

(17 citation statements)

References 77 publications

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“…Another study, e.g., Nosheen et al (31), estimated the impact of green technology on green growth for European Union countries by employing the cross-sectional dependence and Westerlund cointegration approach. The results demonstrated that green technology substantially increases green growth.…”

Section: The Relationship Between Green Technology and Green Growthmentioning

confidence: 99%

“…The reasons behind those high-income countries are enriched wide-ranging economic activities, which cause the deterioration of nature-based assets and release the greenhouse emissions. Simultaneously, these countries have the potential to utilize the resources to preserve the natural resources, increase green growth, and protect the environment (31).…”

Section: Estimating the Long-run And Short-run Relationshipmentioning

confidence: 99%

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Green Growth, Green Technology, and Environmental Health: Evidence From High-GDP Countries

Hussain

Mehmood

Khan

et al. 2022

Front. Public Health

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Green growth is an exceptional strategy for sustainable development. It provides a pathway to combat environmental issues and the use of natural resources. This study investigates the effects of green technology and environmental factors on green growth in high-gross domestic product (GDP) countries from 2000 to 2020. In addition, it also probes the linear and nonlinear effects of GDP on green growth. To do so, we employ an advanced econometric approach, e.g., a cross-sectional autoregressive distributed lags estimator for long and short runs. The outcomes demonstrate that the linear effect of GDP is positive for green growth. On the contrary, the nonlinear effect of GDP has a negative magnitude for green growth. Besides, green technology substantially increases green growth. Energy consumption is found to be an important influencer, and it decreases green growth. Environmental factors such as emissions, according to the findings, also reduce green growth in the sample countries. It is worth noting that the joint effects of energy consumption and emissions deteriorate green growth in countries. Based on empirical findings, for policy makers, this study suggests that high-GDP countries should manage their economic and environmental activities in order to increase the amount of green growth that may protect the ecological environment.

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Section: The Relationship Between Green Technology and Green Growthmentioning

confidence: 99%

Section: Estimating the Long-run And Short-run Relationshipmentioning

confidence: 99%

Green Growth, Green Technology, and Environmental Health: Evidence From High-GDP Countries

Hussain

Mehmood

Khan

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…The IPAT model has been widely used since it was proposed in the 1970s (Ehrlich & Holdren, 1971 ). The model can be used to study the impact of demographic, economic and technological factors on environmental pressure (Nosheen, 2021 ; Ma et al, 2017 ; Song et al, 2011 ; Wagoner et al, 2002 ). Its expression is as follows: …”

Section: Methodology and Datamentioning

confidence: 99%

Influencing factors and trend prediction of PM2.5 concentration based on STRIPAT-Scenario analysis in Zhejiang Province, China

Zhang

et al. 2022

Environ Dev Sustain

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The government’s development of eco-environmental policies can have a scientific foundation thanks to the fine particulate matter (PM 2.5 ) medium- and long-term change forecast. This study develops a STRIPAT-Scenario analysis framework employing panel data from 11 cities in Zhejiang Province between 2006 and 2020 to predict the changing trend of PM 2.5 concentrations under five alternative scenarios. The results reveal that: (1) urbanization development ( P ), economic development ( A ), technological innovation investment ( T ) and environmental regulation intensity have a significant inhibitory effect on PM 2.5 concentration in Zhejiang Province, while industrial structure, industrial energy consumption and the number of motor vehicles ( TR ) have a significant increase on PM 2.5 concentration. (2) Under any scenario, the PM 2.5 concentration of 11 cities in Zhejiang Province can reach the constraint target set in the 14th Five-Year plan. The improvement in urban PM 2.5 quality is most obviously impacted by the high-quality development scenario (S4). (3) Toward 2035, PM 2.5 concentrations of 11 cities in Zhejiang Province can reach the National Class I level standard in most scenario models, among which Hangzhou, Jiaxing and Shaoxing are under high pressure to reduce emissions and are the key areas for PM 2.5 management in Zhejiang Province. However, most cities cannot reach the 10 μg/m 3 limit of WHO’s AQG2005 version. Finally, this study makes recommendations for reducing PM 2.5 in terms of enhancing industrial structure and funding science and technology innovation.

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“…"Double cycle" and the synergy of industrial upgrading can realize the innovation chain as the leading factor in the "four chains" of innovation chain, supply chain, industrial chain, and value chain, and drive highquality economic development [33]. Meanwhile, industrial upgrading could strengthen green technological innovation and green development, forming a mutually reinforcing pattern of ecological protection and high-quality development through ecological protection, and promoting the improvement of ecological protection through high-quality development [34,35].…”

Section: "Dual Cycle" and Industrial Upgrading Impact On High-quality...mentioning

confidence: 99%

Exploring the Impact of “Double Cycle” and Industrial Upgrading on Sustainable High-Quality Economic Development: Application of Spatial and Mediation Models

Wang

2022

Sustainability

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In the context of the integration into the world economy, the domestic and international cycles of the economy constitute the basic pattern of economic operation. This pattern is closely related to the industrial structure, and obviously it can affect quality of the economic development. The Chinese government has put forward an international and domestic dual cycle strategy for reinforcing an environmentally sustainable high-quality economic development. Similarly, it seems critically important to explore what impact the “dual cycle strategy” and industrial upgrading will have on the environmentally sustainable high-quality economic development. To do so, this paper adopted a dataset ranging from the year 2004 to 2019 from a regional perspective in China, and an empirical research is carried out based on the spatial Dubin model-mediation effect model to analyze the impact of “dual cycle strategy” and industrial upgrading on environmentally sustainable high-quality economic development. The results of the study show that the rising industrial structure effect has emerged prominently. Both the “dual cycle” and industrial structure upgrading have a positive spillover effect on environmentally sustainable high-quality economic development. Further, the direct effect of domestic circulation is significant, but the indirect effect is not obvious. In addition, we found that the direct and indirect effects of international circulation are both significantly positive; industrial upgrading has a partial mediating effect in the “double cycle”. The study holds promising implications for a policy development.

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Do technological innovations promote green growth in the European Union?

Cited by 51 publications

References 77 publications

Green Growth, Green Technology, and Environmental Health: Evidence From High-GDP Countries

Green Growth, Green Technology, and Environmental Health: Evidence From High-GDP Countries

Influencing factors and trend prediction of PM2.5 concentration based on STRIPAT-Scenario analysis in Zhejiang Province, China

Exploring the Impact of “Double Cycle” and Industrial Upgrading on Sustainable High-Quality Economic Development: Application of Spatial and Mediation Models

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