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.

This paper estimates Jiangsu's carbon emission and absorption and forecasts its future carbon balance potential, offering reference for China to reach strategic objectives of “2030 carbon peak, and 2060 carbon neutralization” (“dual carbon” objectives), and to materialize ecological civilization construction. This paper establishes an indictor system to forecast Jiangsu's carbon balance potential and improves STIRPAT model based on 1996 to 2019 carbon emission data and LMDI factors, which is used to forecast Jiangsu’s 2020 to 2060 carbon emission under 9 scenarios. GM(1, 1) is employed to forecast Jiangsu’s future carbon absorption and 2004 to 2060 carbon balance evolution. Results show that Jiangsu’s carbon emission grows fast, most contributed by population, income and energy structure, but offset by energy intensity and carbon emission intensity. According to the forecasted results of STIRPAT model, nine scenarios can be classified as high carbonhigh growth, intermediate carbonintermediate growth and low carbonlow growth in terms of cabon peak and time. The premium scenario 3 in the lowcarbonlow growth can reach carbon peak as early as in 2029, at 330 0386 kt carbon dioxide, and decline to 242 7419 kt in 2060. Jiangsu’s carbon absorption is forecasted to growth slowly, up to 30 mt carbon dioxide in 2053, and 30955 84 mt in 2060. Jiangsu will face a lagging carbon balance, with a peak deficit up to 302860 3 mt carbon dioxide in 2029, falling to 211786 0 mt in 2060. Carbon balance pressure index will fall to 784 in 2060 from 1216 in 2025, suggesting a big pressure over Jiangsu. Jiangsu has a limited ecological carbon absorption capacity, facing a big challenge on carbon balance even according to the premium scenario 3. This paper presents suggestions on adjusting energy high carbon structure, boosting green technical innovation, decreasing carbon emission, increasing green land area, protecting natural environment, raising carbon absorption capacity, developing green carbon reduction and technical carbonfixing, diminishing carbon deficit and mitigating cabon balance pressure from carbon emission, carbon absorption and carbon balance, which helps China reach 2060 carbon neutralization.

Concept of “Clear waters and green mountains are as valuable as mountains of gold and silver” prevails with ecological priority and green development becoming a mutual developing path for cities. Yangtze River Delta city cluster is growing its industries with increasing pollution emission, especially the industrial wastewater pollution, thus largely decreasing residents’ euphoria. City cluster is becoming the growing center in replacement of central city. If other expansion of regions has impacts on industrial wastewater pollution remains a question. This paper, based on 246 prefectures’ data from 2003 to 2019 in China, uses synthetic control to study the impacts of enlarged city cluster on decreasing industrial wastewater pollution through the difference between the actual industrial wastewater emission and synthetic emission in Yangtze River Delta city cluster. Placebo and transformation is used to test its stability. Suggestions are given on how enlarged city cluster impact industrial wastewater emission. Enlargement policy largely decreases industrial wastewater emission in city cluster. Synthetic industrial wastewater emission without enlargement grows, but the actual industrial wastewater emission declines, which makes enlargement policy a necessity. Enlarged city cluster increases industrial wastewater emission through population density, but decreases it through economic growth. 

A quality integrated development of Yangtze River Delta needs attention on its ecological cultural construction, but it faces water shortage and worsening water ecological environmental issues. Trans-regional water resource protection can not be effectively performed due to its externality of water resource as a public affair, which makes ecological compensation of water resource a key point in reaching a co-integrated development in Yangtze River Delta. This paper uses water footprint theory to establish a standard measuring model of 2008 to 2017 bidirectional water footprint ecological compensation of Yangtze River Delta, and constructs an evolutionary gaming model based on central-governmental constraining-stimulating mechanism to reach an optimal stable balanced strategy. Yangtze River Delta is simulated as a water importing area with rising imports and consumption during the decade at yearly average consumption up to 158.62 billion cubic meters, in actual water use most by agricultural water footprint, while trading water footprint is rising at an uneven rate. Jiangsu contributes the most in simulated water use, followed by Anhui, Zhejiang and Shanghai. Its ecological compensation amounts shows a climbing tendency. Jiangsu gets the most at a yearly RMB9.222 billion, followed by Zhejiang, Anhui and Shanghai, but Jiangsu has a lowest compensation to input ratio at 63%, and Shanghai is the highest at 78%. After constraining-stimulating mechanism is in place, Yangtze River Delta can reach an optimal balanced protection and compensation strategy if central governmental sum of fines and stimulus is higher than its ecological compensation amounts on either defaults, and if the sum is higher than two times of opportunity cost, and less than its compensation amounts on both defaults, Zhejiang seats on top in stimulating and punishing range changes in the decade. 

Under the current economic situation, green development, resource-saving and environment-friendly society lies in increasing green technical innovation capacity, which relies upon internal self-search, and also upon openness to gain global technical overflow. This paper selects 17 nations as China's technical overflow, taking green patent as green technical innovation indicators, employs China's provincial panel data of 2007 to 2017 to establish a spatial Dubin model which serves to check the impacts of global technical overflow on China's green technical innovation. China's provincially environmental technical innovation is characterized by outstanding spatial clustering, with local closely related to its vicinity geographically. Global technical overflow from imported trading largely promotes the green technical innovation where the imported is. Global technical overflow from bidirectional FDI plays a negative role, but internal research capital stock does positively. Interaction between OFDI and internal research capital stock enhances the green technical innovation. 

Phosphorus pollution factor is added to the traditional measurement to measure the grey water footprint of each domain in the provinces(cities) of Yangtze river delta region from 2005 to 2017, and regression model is used to verify the relation between grey water footprint and GDP in the provinces (cities), in an attempt to explore a coordinated developing model of economy and water resources. Unlike the traditional measurement in which gross nitrogen and COD are the major pollution factors in agricultural grey water footprint, phosphorus has become the chief pollution source of agricultural grey water footprint in Yangtze river delta region. Grey water footprint shows a decreasing-increasing-decreasing trend in Jiangsu, Zhejiang and Anhui provinces from 2005 to 2017, continuously decreasing in Shanghai city. Water quality is generally improving in Yangtze river delta region along with an increased water resources use efficiency. There is a descending correlation curve of water quality and economic development in Shanghai, an upside-down N-shaped curve in Jiangsu and Anhui, and an upside-down U-shaped curve in Zhejiang. This study provides references for governments to adopt differentiated water pollution control measures through analysis of the relation of grey water footprint and economic development in Yangtze river delta region.

Nations along “the Belt and Road” are important provision production areas. Effective use of virtualized water trading strategy helps mitigate the provision dilemma and realize the efficient allocation of water resource. This paper, based on production and climate data 2010 to 2016, estimates their unit virtualized water content of seven provisions in 65 nations along “the Belt and Road”, and sets up a virtualized water trading network model based on provision and trading data, which show a feature of small world of anti-globalization. Russia and Ukraine are net provision-virtualized water exporters, while Egypt and Iran are net importers. China remains the balance with expanding provision-virtualized water trading size, playing a role of bridge in the network. This paper presents a virtualized basis for improving their agricultural production and trading structure and utilizing water resource in the nations along “the Belt and Road”.