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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.

It has become an urgent issue for all countries to ease the sharp conflict between economic growth and ecological conservation. The fundamental way to achieve low-carbon economic growth is to make the energy consumption structure upgrade and develop towards a cleaner direction. Standing at the point of clean production, this study empirically analyses the nonlinear mechanism of the transformation of energy consumption structure on China's regional carbon productivity by using the threshold model based on the inter-provincial data from 2009 to 2017 (30 provinces in China). The research shows that there are significant differences in cleaner production levels in different parts of China. In contrast, the cleaner production capacity in most regions has been significantly improved during the sample period. It shows the energy consumption structure transformation has a remarkable double threshold effect on regional carbon productivity in China. While clean production keeps crossing the threshold value, the effect direction of energy consumption transformation on regional carbon productivity changes from negative to positive, with both the coefficient value and significance increasing. According to the research results, the paper focuses on adjusting energy resource consumption and improving the clean production level. Eventually, some policy inspirations are proposed for the lower emissions and sustainable process of the Chinese economy.

Green total factor productivity is not merely an inevitable choice to continuously increase the quality of China's economy, but also a booming demand to promote global development. With the fast development of the new generation information technology represented by world comprehensive web technology, Internet growth may well play a more crucial role in enhancing green total factor productivity in China. Based on 2009-2017 China's inter-provincial panel data, this article uses the threshold regression model and fixed-effect model to empirically investigate the influence intensity and internal mechanism of green total factor productivity in areas affected by the Internet development. We ultimately come to the following conclusions. First, there is a digital divide between the regions of China. Second, many factors such as Internet development, human capital, urbanization, energy efficiency, and external dependence all exert a positive influence on China's green total factor productivity. At the same time, government intervention is not conducive to green total factor productivity. Third, the influence of Internet growth on China's green total factor productivity is non-linear, based on the significant double threshold effect of human capital. As the level of human capital continues to exceed the threshold value, the effect of Internet expansion on the green total factor productivity of China has undergone a structural change. The result has changed from a weak negative influence to a positive one, and the significance is increasing. To advance the smart, green, and coordinated development among regions, it is necessary to bring “Internet +” into full play in promoting China's green total factor productivity, strengthen the deep integration of Internet development and industrial development, and improve the level of clean production utilizing network information.