Innovation-driven industrial green development: The moderating role of regional factors

Abstract

Industrial green development (IGD) is a critical response to the over-consumption of natural resources and pollution caused by modern industry. Innovation-driven IGD has generated great interest in recent years. However, relatively less attention has been paid to the various aspects of IGD and the moderating role of regional factors, including the developmental stage of IGD, governmentscale, and enterprise-scale. The present study was conducted to fill these research gaps using panel data across 30 provinces in China from 2005 to 2015. The empirical results show that 1) innovation does promote IGD and is most effective in low-carbon production, followed by resource reduction, economic operation, and pollution abatement; 2) there is an inverted U-shaped relationship between the regional IGD level and the role of innovation in IGD; and 3) both government-scale and enterprise-scale contribute to the innovation-driven IGD. These findings provide new insights into the impact of innovation on IGD and may shed light on future decisions related to green development.

An Inverted-U Impact of Environmental Regulations on Carbon Emissions in China’s Iron and Steel Industry: Mechanisms of Synergy and Innovation Effects

“…conducted a study on Industrial Green Development of China, which indirectly verified the results of previous scholars [46]. Secondly, enterprises could optimize resource allocation through improving energy efficiency, and then cost-effective and efficient technical response can achieve better emission reduction [47]. Zhang et al (2017) proved the above viewpoints and found that energy efficiency has a significant impact on CO 2 emission reduction in China [48].…”

Research on Diffusion Mechanism of Green Innovation of Cloud Manufacturing Enterprises Based on BA Scale-Free Agglomeration Network Game

“…Moreover, it can be found that with the increase of the network scale, cloud manufacturing enterprises that emerge in the network are dissatisfied because of the default behaviour of their partners in the process of cooperation strategy selection, which urges them to change their partners and changes the network structure, reduces the speed of network evolution and prolongs the network evolution time. Figure 9 shows the change of the network cooperation density ( 2,4,6) of the green innovation network of cloud manufacturing enterprises under different network scales and types of government punishment ( ). According to the figure, the network evolution speed when the government default penalty is 3 is significantly faster than the network evolution speed when the default penalty is 1, and with an increase in government punishment, the network cooperation density gradually increases.…”

“…With the increasingly serious problems of global warming, environmental pollution and resource depletion, various regions have experienced different degrees of public environmental pollution problems, which have become the management focus of local governments, and green economics has also become a focus of academic attention [1]. The "Made in China 2025" directive issued by the State Council of China puts forward a development policy of "innovation-driven green development" that emphasizes the important position of the green economy [2]. Meanwhile, with the rapid development of information technology and "industry 4.0", the world has increasingly implemented Internet-based economic strategies.…”

“…Therefore, the research objectives of this study are as follows: (1) to construct the evolutionary game model of green innovation network of cloud manufacturing enterprises, by combining the simulation model and related examples; (2) to explore the scale-free agglomeration network related micro factors on the cloud manufacturing enterprise green innovation strategy choice; (3) to provide a theoretical basis for cloud manufacturing enterprises to choose green innovation cooperation strategies, and to provide policy recommendations for the government and cloud platform to regulate the cooperative behavior of cloud manufacturing enterprises.…”

Theoretical Approach on the Green Technologies Development

“…Meanwhile, in the midstream production stage, energy consumption, and waste gas emissions can be reduced by adopting advanced technologies in clean coal utilization system along with combined heat and power system. finally, in the downstream disposal stage, innovation contributes to the recycling of wastes, remanufacturing of waste products, and reuse of waste heat (Li et al, 2019). It should be noted that technological innovation can give not only positive, but also negative effects on green growth.…”