Study of impacts of technical innovation on green total factor productivity from perspective of industrial agglomeration is of strategic significance to promoting a coordinated development between technical innovation and green economy in China and keeping same pace between industrial development and environmental protection. This paper, based on 2008 to 2019 provincial panel data of Chinese provinces (cities), uses SBM model and GML indicator to estimate the dynamic changes of green total factor productivity in 30 Chinese provinces (cities), and applies threshold regression model and adjusting effect model to discuss the threshold and adjusting effects of financing & manufacturing conglomeration on technical innovative achievements and green total factor productivity. Results show a strikingly positive coefficient of technical innovative achievements on green total factor productivity, a positive adjusting and sole threshold effect of financing conglomeration on technical innovative achievement and green total factor productivity, and a negative adjusting of manufacturing conglomeration, and an outstandingly adjusting of local public budget, residents usable income per capita and foreign investment on green total factor productivity. This paper presents suggestions on focusing on their match between technical innovative achievements and green economic development, enabling digital financing to break the spatial barrier of financing, converting manufacturing to a quality conglomeration, properly allocating financing resources in environmental protection sector, and boosting supervision of foreign investment in environmental protection.

Yellow River stream has lots of water resource issues, low quality and imbalanced. Understanding the factors influencing water resource use efficiency and mastering the relation between water resource use and high-quality economic development are important to boost the sustainable development in Yellow River stream. This paper uses undesired output super-efficiency SBM model and entropy to estimate 2011 to 2020 water resource use efficiency and high-quality economic development comprehensive index of Yellow River stream, and discusses their relation by means of Tapio decoupling model, and employs Tobit model to test the factors influencing water resource use efficiency. Results suggest that 2011 to 202 average water use efficiency in Yellow River stream is less than 1, far reach to be effective, but the high-quality economic development shows a rising trend, both varying geographically, decreasing from down-to upper-stream. Their relation has been fluctuating during 2011 to 2020, which had undergone weak decoupling, strong decoupling, expansive connection, weak decoupling, expansively negative decoupling and strong decoupling. Economic development level, technical innovation and governmental influencing power play a positive role on water resource use efficiency in Yellow River stream, but industrial structure and water use structure does on the contrast.

This paper establishes a spatial counting model via China’s 2008 to 2019 provincial panel data to study the relationship between traffic infrastructures and manufacturing’s exporting technical complexity, and to analyze the mediating effect mechanism of research & development staff turnover. Empirical study indicates that all traffic infrastructures positively promote the local manufacturing’s exporting technical complexity, but negatively on its surrounding areas mainly because traffic infrastructures promote trans-area turnover of R&D staff, increase the innovative elements conglomeration locally, leading to surrounding resources being relocated to locality, impairing their manufacturing productivities in the surrounding areas, and finally constraining the increase of manufacturing’s exporting technical complexity. Roads play a stronger role than rails. This paper presents references for local governments to develop their infrastructures according to their locality advantages and to boost a trans-area coordinated development of infrastructures.

How heavy pollution industries improve their capabilities in green technical innovation during performing social responsibilities is a hard issue to be facing in industrial transformation. This paper, based on China’s 2011 to 2020 stock-A-listed heavy pollution companies, consolidates their social responsibilities, executive incentives and green technical innovation into one framework, establishes a logistic system of green technical innovation of heavy pollution industries of “owner-mechanism-results” to verify their correlation between social responsibilities and green technical innovation. China’s heavy pollution industries are generally poor and imbalanced in performing their social responsibilities, however, conducting social responsibilities plays a positive role on their green technical innovation, more in nonstate-owned industries. Dominant incentives plays a mediating effect during social responsibilities impact green technical innovation, heavy pollution industries undertake social responsibilities, which may positively impact their green technical innovation through executive incentives. Recessive incentives can improve green technical innovation. This paper provides reference for China’s heavy pollution industries to reach a high-quality performance in green technical innovation, and provides important policy inspiration for optimizing the executive incentives of heavy pollution industries and enhancing the relationsheep between enterprise’s social responsibilities and green technology innovation.

Currently it has not doubt to exert green empowering effect of “New Infrastructural Construction” to confront the upcoming carbon peaking, constraints of natural resources, CoVID19’s impacts and technical industrial reform. High-tech industry is of intensive knowledge, low resource consumption and low pollution, its innovative capabilities can embody industrial advances and help convert economy to an intensive and environment-friendly mode. This paper, viewing from green recovery, studies the theoretical mechanism of “new infrastructural construction” on high-tech industrial innovation. Inputs and use of “new infrastructural construction" as a vital means of green development and industrial innovation matters. This paper, based on China’s 28 province’s 2008 to 2020 panel data, uses baseline regression model to study impacts of “new infrastructural construction” on high-tech industrial innovative capabilities which has been validated by stability test through replacement of variables. Regression analysis is also conducted on China’s east and west. Mediating effect model is applied to study the impacts of cost saving effect, overflow effect and human capital effect on high-tech industrial innovation. Overall, “new infrastructural construction” can improve high-tech industrial innovative capabilities, outstandingly in eastern China little in central and western China. Human capital effect is an important path to improving high-tech industrial technical innovative capabilities in “new infrastructural construction”, but cost saving effect has a little overflow due to its masking effect. It concludes that China should support “new infrastructural construction”, exerts governmental leading role in advancing investment in central and western China, makes “new infrastructural construction” a path to high-tech industrial innovative capabilities, which is key to economic development, ecological sustability and industrial innovation.

Green development and circular economy are vital means for sustainable development. This paper, based on China’s 279 prefectures’ 2004 to 2018 panel data, uses urban minerals demonstrating base policy as a para-natural test to establish a DID （differences-in-differences） model, which is employed to study the impacts of construction of urban minerals demonstrating base on relieving environmental pollution, and the adjusting effect of research inputs and marketization degree. The results show that construction of urban minerals demonstrating base outstandingly relieves environmental pollution, which is offset by research inputs and marketization degree. Size heterogeneity test indicates that construction of urban minerals demonstrating base have less influence on relieving tier1 urban environmental pollution than non-tier 1. Regional heterogeneity shows that construction of urban minerals demonstrating base variably relieves urban environmental pollution, less in the central cities, strong in the eastern, and strongest in the western. Batch heterogeneity shows that 2015 demonstrating bases have the premium results, while 2012 just don’t. which is also validated by PSM-DID stability test. Empirical study on impacts and effects of construction of urban minerals demonstrating base can theoretically improve China’s performance evaluation framework in urban minerals demonstrating base policies, and practically help develop China’s circular economy. This paper presents scientific supports and theoretical basis for China to appropriately develop urban minerals, to reach green sustainable development and circular economy.

A precise estimate of recovery potential and spatial distribution of lithium minerals in China’s new energy passenger vehicles can ensure a fast growth of China’s new energy vehicle industry and lithium resource supply security. This paper, based on China’s new energy passenger vehicles production and market data, uses their unit power storage, battery types, unit power storage lithium use intensity, lithium battery life span to estimate lithium stock and recovery potential of China’s new energy passenger vehicles. The results show a fast rising trend of lithium stock and recovery potential of China’s new energy passenger vehicles in recent years, up to 22 kt of lithium stock in China new energy passenger vehicles by 2021, but their recovery potentials will not be at the same pace recently and in the near future, only reaching up to 730 t in 2021. In 2021, Beijing-Tianjin-Hebei, Yangtze River Delta, Zhu River Delta contributed 60% of lithium recovery potentials nationwide, 18 cities including Beijing, Shanghai and Hangzhou hold 73% of lithium recovery potential nationwide. Lithium stock and recovery potential of new energy passenger vehicles show a concentrating to scattering trend spatially in recent five years. This paper presents suggestions on globally developing lithium resource, boosting lithium research and industrialization and making regional lithium battery recovery system.