Abstract
Enhancing industrial carbon productivity is the key to China's sustainable economic development. Along with the application and development of new-generation network information technologies such as big data, Internet of Things, cloud computing, etc., information communication technology (ICT) has become an essential means to improve national innovation, productivity and strengthen industrial competitiveness, and plays a crucial role in promoting industrial carbon productivity enhancement. Based on China's interprovincial panel data from 2009-2017, this study measured the ICT level through Projection Pursuit improved by an accelerated genetic algorithm and adopted a non-linear threshold regression model to investigate the non-linear impact and its Spatio-temporal heterogeneity of ICT on China's industrial carbon productivity improvement from the perspective of science and technology(S&T) human capital accumulation. The study shows that the overall level of ICT in China is high. There is a digital divide between regions; in general, ICT plays a positive role in enhancing industrial carbon productivity, but there are significant heterogeneous threshold characteristics of science and technology human capital accumulation accumulation. Once the accumulation of science and technology human resource accumulation breaks through the critical scale, the positive effect of ICT on industrial carbon productivity will gradually appear and show a strengthening trend. The temporal and spatial distribution of the threshold for accumulating science and technology human capital accumulation is different.
Highlights
As the world’s second-largest economy, China has received widespread attention for its environmental pollution, especially its carbon emissions [1]
Combined with Schumpeter’s theory of disruptive innovation and economic growth, this paper argues that the progress of information communication technology (ICT) is full of various conflicts and contradictions, including the elimination of old technologies by new technologies, the inability of production equipment and organizational structures established based on old technologies to adapt to the productivity of new technologies [17], the system and mechanism obstacles faced by the development of new business formats, and so on
For the first time, we have incorporated the heterogeneous threshold of human capital accumulation in S&T into the research framework of ICT-driven industrial carbon productivity improvement, which provides an effective way for regions to explore the power sources and policy design to promote industrial carbon productivity improvement and high-quality economic development
Summary
As the world’s second-largest economy, China has received widespread attention for its environmental pollution, especially its carbon emissions [1]. Considering that there are significant differences in the level of human capital in S&T among regions in China, this paper argues that the impact of ICT applications on industrial low-carbon development may not be purely linear. Is there heterogeneity in the effect of ICT advances on industrial carbon productivity at different levels of technological human capital? No practical explanations for these questions have been provided in existing studies Due to this situation, for the first time, we have incorporated the heterogeneous threshold of human capital accumulation in S&T into the research framework of ICT-driven industrial carbon productivity improvement, which provides an effective way for regions to explore the power sources and policy design to promote industrial carbon productivity improvement and high-quality economic development. This paper uses a panel threshold model to explore the complex non-linear influence mechanism of ICT on industrial carbon productivity based on the regional heterogeneity of human capital in S&T
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