This paper uses non-desired dynamic DEA model, Dagum Gini coefficient, kernel density estimation and Tobit model regression to study China ‘s industrial water resource use efficiency and factors during 2010 to 2019. The results show that China ‘s industrial water resource use efficiency is generally at a middle level, in a waved rising trend over time, decreasing from eastern, western to central spatially. The overall variance of China ‘s industrial water resource shows a rising-then-falling trend, mainly contributed by the regionally internal differences. Economic development level and technical innovation largely promote China ‘s industrial water resource use efficiency, offset by elements occurrence of water resource. Industrialization and environmental regulations impact industrial water resource use efficiency, variable with areas.

Yellow River stream is entering a period of ecological protection and quality development. Study on the coupling coordination between its industrial green low-carbon transformation and quality economic development is of significance in reaching the goals. This paper applies temporal-spatial range entropy weights to estimate Yellow River stream’s 2009 to 2019 industrial green low-carbon transformation and quality economic development levels, and uses calibrated coupling coordination model to measure their coordination, and employs Dagum Gini coefficient and decomposition to study the regional variance between industrial green low-carbon transformation and quality economic development with Kernel density estimation dispatched to study its dynamics. Its industrial green low-carbon transformation level is at 0.449, and quality economic development level at 0.490, with annual growth rate at 5.84% and 7.1%, respectively, overall in a upgrading trend, but industrial green low-carbon transformation is notably behind its quality economic development. Their coordination level is low at 0.55, with annual growth rate at 3.2%, 0.629 in 2019, a turning point from off coordinated to preliminarily coordinated. The both are not at the same pace in coordination with coupling coordination showing a spatial distribution of “high-in-lower stream, middle-in-middle stream and low-in-upper stream”, 0.59, 0.561 and 0.529, respectively. Their overall spatial variance is diminishing, primarily contributed by their regional variance with a contributing value at 46.97%, secondarily by the internal variance with a contributing value at 33.54%. This paper presents suggestions on constructing regional green low-carbon industrial system, exploring differentiated policies and boosting trans-stream cooperation.

Yangtze River Delta is a demonstrating model for eco-green integrated area. Its quality development is vital for China. This paper, viewing from green innovation strategy, reveals its regional variance and evolution of ecological efficiency, and presents suggestions. This paper, based on 41 Yangtze River Delta cities' 2008 to 2019 data, uses SBM model to measure their ecological efficiencies, and analyzes their redundancy and deficiency in cities of low ecological efficiencies. Tobit regression model is used to identify the factors of ecological efficiency. Results display a high ecological efficiency in Yangtze River Delta, with its core density above 0.8, waved and varying with regions. It shows a polarization in the region where there are 5 cities with low efficiencies and 9 with optimal efficiencies. 81.25% of Anhui province's cites have low efficiencies, higher than other provinces. Among factors, economic developing level, industrial structure and urban size are positively for ecological efficiency, but environmental protection and foreign openness are negatively, technical advance is a minor factor. Yangtze River Delta is suggested to construct a shared platform of environmental information and technical resources in unifying eco-environmental standards, environmental supervision and enforcement. This paper presents suggestions on advertising Yangtze River Delta's practices as demonstrating model, fulfilling its leading role, and boosting its cooperation with other areas. Traditional industries shall be escalated, smart and green. Cities vary differentiated talent planning with their urban functions. Foreign investment boosts ecological efficiency. Governments play a leading role in social capital and improve the stimulation mechanism of green innovation.

Yangtze river economic zone is China's green ridge in ecological civilization construction, and its carbon reduction impacts the entire China's development. This paper, with the background of “stepping up conservation of the Yangtze river”, uses generalized dimensional index decomposition to study the driving factors and contribution ratio of carbon emission evolution in 11 provinces (cites) in Yangtze river economic zone from 2005 to 2016, applies expanded STIRPAT model to simulate six scenarios to predict the carbon emission peak and time from 2017 to 2030, and presents strategies of carbon emission reduction. Economic scale is the leading factor contributing to carbon emission increment in Yangtze river economic zone with a falling contribution. Energy consumption intensity and output carbon intensity are two vital factors in reducing carbon emission, while energy intensity does little, suggesting technical advances is a key factor in promoting carbon emission reduction. The premium path to carbon emission reduction is medium-growth-high-emission-reduction among six scenarios, and carbon emission may reach the peak in advance under the high-emission-reduction mode. Carbon emission may not reach the peak in 2030 if carbon emission intensity is gently slowing down with a relatively fast economic growth.

Yangzi river urban agglomeration, as a vital place situated in the down-stream of Yangzi river economic zone, is a leading engine of "1+3" key functioning area in Jiangsu province. Green ecological construction of Yangzi river urban agglomeration is of strategic sense for constructing new Jiangsu and protecting Yangzi river. This paper studies the decoupling level and driving factors of industrial energy carbon emission of Yangzi river urban agglomeration. Its industrial carbon emission generally shows an increasingly fluctuating trend, with Nanjing and Suzhou much larger than other cities. The decoupling has roughly undergone expanding linkage, strongly decoupling and weakly decoupling, overall a rising decoupling level, unstable, varying largely with urban agglomeration, but in process of optimization. Factors such as carbon emission intensity effect and energy intensity effect promote the decoupling level, but offset by industrial economy size, regional economy proportion and energy structure. This paper presents suggestions on boosting tentative construction of low carbon city, establishing whole domain carbon exchange market, optimizing energy structure and stimulating scientific innovation, in order to promote a quality development of Yangzi river urban agglomeration.