Unveiling the dynamic relation between R&amp;D and emission abatement

Corradini, Massimiliano; Costantini, Valeria; Mancinelli, Susanna; Mazzanti, Massimiliano

doi:10.1016/j.ecolecon.2014.03.017

Cited by 65 publications

(13 citation statements)

References 77 publications

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“…Furthermore, green technology innovation fosters the development and utilization of clean energy sources and novel technologies, leading to emission reduction outcomes. However, the intricacies associated with green technology innovation entail substantial demands for human, material, and capital resources(Corradini et al, 2014). The central and western regions of China have a low level of economic development and lack the ability to innovate green technologies.…”

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confidence: 99%

RETRACTED: More digitization less inequality? Exploring the effect of digital economy on environmental inequality

Wang,

Dong

2024

Preprint

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The digital economy, which relies on information technology, has emerged as a central driver of economic progress, presenting a significant opportunity to address environmental inequality. Nevertheless, theoretical research on the relationship between digital economy and environmental inequality remains limited, and the underlying mechanism remains unclear. To address this gap, we employ panel data from 268 prefecture-level cities in China between 2011 and 2020 to investigate the connection between digital economy and environmental inequality. Our findings reveal that digital economy significantly reduces the level of environmental inequality, a result that withstands robustness tests. In addition, our analysis demonstrates that this reduction is achieved through a decrease in inequalities in green finance and green technology innovation. Heterogeneity analysis further reveals that the inhibitory effect of digital economy on environmental inequity is more pronounced in eastern region, regions experiencing industry transfer out, and in regions with higher degrees of fiscal decentralization and government environmental concern. Overall, our study offers policymakers valuable insights for harnessing the potential of digital economy to promote environmental equity and achieve a harmonious balance between economic and social benefits.

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confidence: 99%

RETRACTED: More digitization less inequality? Exploring the effect of digital economy on environmental inequality

Wang,

Dong

2024

Preprint

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“…These results are consistent with previous studies by Buesa et al (2010), De Rassenfosse & van Pottelsberghe de la Potterie (2012), and Barra & Zotti (2016), among other authors. However, Corradini et al (2014) also point out that there is a link between R&D and emission abatement, and that innovation is key to reducing emissions and increasing energy efficiency. These results are also fully consistent with those obtained in this paper regarding the positive relationship between innovation development and ecology and the sustainable economy in general.…”

Section: Discussionmentioning

confidence: 99%

Progress towards the innovation potential of the European union member states using grey relational analysis and multidimensional scaling methods

Tutak

Brodny

2023

Decis. Mak. Appl. Manag. Eng.

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The article presents the results of a study aimed at assessing the level of innovation potential of European Union member states. The research was based on 8 diagnostic variables characterizing the two most important dimensions of innovation, namely human resources and R&D expenditures. As a result of the research, the levels of innovation potential of European Union countries between 2010-2020 were specified. The GRA approach and multidimensional scaling were used for the study. Based on the results, the European Union countries were divided into 4 classes. The findings showed large differences in this potential across countries, which was graphically illustrated by using the multidimensional scaling method. In addition, using two non-parametric tests, (Spearman Rank Correlation Coefficient and Kendall Correlation Coefficient), relationships between the innovation potential of member states and selected economic and innovation parameters of their economies were determined. The results of the study indicate that in the old EU-14 countries, this level was at a significantly higher level than in the new EU-13 countries. The EU-27 innovation potential leaders were found to be Finland, Sweden, Luxembourg, Denmark, and Germany. The worst performers, on the other hand, are Malta and Romania. Also, geographically, there were noticeable differences between the countries studied. The results presented should be used to develop strategies and implement policies for sustainable innovative development in the European Union. To the best of the authors' knowledge, this study is a new contribution to assessing the level of innovation potential of European Union member countries and determining the relationship of this potential with selected parameters of the economy of these countries.

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“…markets lead to higher requirements for human and physical capital for green innovation (Corradini et al, 2014;Hottenrott & Peters, 2012). Areas with abundant capital can more effectively carry out GTI.…”

Section: Theoretical Hypothesesmentioning

confidence: 99%

“…Innovation entities continuously develop clean energy, new technologies, and low‐energy‐consumption products to help reduce industrial pollution with improvements in resource utilization efficiency and industrial transformation (Feng et al, 2021). The complexity of green technologies and the low maturity of green markets lead to higher requirements for human and physical capital for green innovation (Corradini et al, 2014; Hottenrott & Peters, 2012). Areas with abundant capital can more effectively carry out GTI.…”

Section: Theoretical Hypothesesmentioning

confidence: 99%

Digital finance and sustainable development: Evidence from environmental inequality in China

et al. 2022

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Achieving environmental equity is important for ensuring resource utilization efficiency and realizing sustainable development. Using panel data of 286 cities in China from 2011 to 2018, this paper analyzes whether financial support in the form of digital finance can mitigate environmental inequality. The findings indicate that (1) digital finance has a significant mitigating effect on environmental inequality. Digital finance development has a stronger industrial pollution emission reduction effect on high‐polluting regions than on low‐polluting regions and can reduce the environmental pollution gap between regions. The results of robustness tests such as an endogeneity test support this finding. (2) Digital finance development can have a stronger mitigating effect on environmental inequality in regions with a stronger local government governance capacity and environmental preferences. Digital finance can be a more significant inhibitor of environmental inequality in areas where industries transfer out due to their stronger needs for industrial transformation and finance. (3) Residential income and green technology innovation are important factors affecting industrial pollution emissions and reductions. Digital finance development can narrow the income gap between regions and promote the convergence of green technology innovation capacity, in turn alleviating environmental inequality. In the future, while continuing to promote the development of digital finance, it is necessary to improve the governance capacity of local governments, to increase the efficiency of resource utilization in places where industrial transfer is undertaken and to strengthen the role of financial support in industrial pollution control.

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Unveiling the dynamic relation between R&D and emission abatement

Cited by 65 publications

References 77 publications

RETRACTED: More digitization less inequality? Exploring the effect of digital economy on environmental inequality

RETRACTED: More digitization less inequality? Exploring the effect of digital economy on environmental inequality

Progress towards the innovation potential of the European union member states using grey relational analysis and multidimensional scaling methods

Digital finance and sustainable development: Evidence from environmental inequality in China

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