Optimal strategy for enterprises’ green technology innovation from the perspective of political competition

A bibliometric study of sustainable technology research

“…In addition to the articles reviewed in the areas mentioned, some recent articles on sustainable technologies, green technologies, clean technologies, renewable energy technologies and environmental technologies have also been studied, topics discussed in recent articles involves, evaluating the efficiency of such technologies using the Malmquist-Luenberger index (Feng & Wang, 2018;Luo et al, 2019;Mardani et al, 2017), examining the impact of green innovations on materials use (Wendler, 2019), exploring ways to reduce pollution and waste (Bruscato et al, 2019), toxic and organic micro-pollutants (Jankovic et al, 2019), the need to use sustainable technologies such as carbon capture in the oil and coal exploitation process to reduce pollution (Sarkodie & Ozturk, 2020), and also, the need to use low-carbon technologies to meet international climate change agreements (Romano & Fumagalli, 2018), optimizing green technologies , investigating the effects of government policies such as emission taxes on green innovation (Langinier & Ray Chaudhuri, 2019), reviewing optimal green technology innovation strategies in local governments and companies (Deng et al, 2019), investing in green technologies (Zhou et al, 2019), and R&D investments in green technology to develop these technologies (Lee et al, 2015), the amount of sustainable technologies consumed and the importance of training in adopting these technologies (Ninh et al, 2019).…”

R&D investment and financing efficiency in Chinese environmental protection enterprises: perspectives of COVID-19 and supply chain financial regulation

“…Therefore, we consider whether the current R&D investment of environmental protection companies will help improve their financing efficiency. Previous studies found that the application of R&D investment to technological improvement will affect their targeted efficiency (Wang et al 2019); a lack of R&D investment will lead to low levels of technological progress (Deng, You, and Wang 2019), causing low financing efficiency, while high levels of R&D investment promote technological progress, thereby alleviating financing constraints (Zhang, Xing, and Wang 2020).…”

A Tripartite Game Analysis of Environmental Pollution Control Based on Complicated Intergovernmental Relations

“…Gang et al [13] used the random boundary model to calculate the green total factor productivity of 278 provinces and cities in China from 2004 to 2013. e study found an inverted U-shaped relationship between county-level government competition and green total factor productivity, and excessive cross-jurisdictional competition has an adverse effect on green total factor productivity (GTFP), while moderate government competition does not. Deng et al [14] studied the impact of political competition through a game theory model and Complexity found that political competition will affect the best green technology innovation strategic model and the optimal investment ratio of environmental governance of local governments and enterprises. Wu [15] found that although the competition among local governments is not the main driving force for the formation of the industrial structure and division in the Yangtze River Delta, its role cannot be underestimated.…”