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In order to quantitatively evaluate the impact of inter-industry water rights transfer on economy and society in the main stream of the Yellow River in Inner Mongolia, the paper analyzed the impact of water rights transfer on agriculture, and the impact of water rights transfer on water use, production and operation, annual income, people's livelihood and economy of all industrial enterprises. The results show that the transfer of inter-industry water rights in the main stream of the Yellow River in Inner Mongolia in 2019-2021 has driven the total investment of industrial projects to 599.58 billion Yuan, created 122 145 new jobs, the gross regional product is 44.709 billion Yuan, the industrial added value is 238.821 billion Yuan, the annual tax revenue is 19.47 billion Yuan, the newly paved road area is 13.161 7 million km², and the new green area is 30.995 million km². The agricultural output value and farmers' income have been significantly increased, local livelihood issues have been effectively solved, and ecological protection and social and economic development along the Yellow River have been promoted. The transfer of water rights between industries in the main stream of the Yellow River in Inner Mongolia has alleviated the bottleneck of water resources of industrial enterprises along the Yellow River, realized the multi-win of farmers' production increase, economic efficiency increase and ecological restoration, and provided strong support for ecological protection and high-quality development of the Yellow River Basin. [ABSTRACT FROM AUTHOR]

In order to promote the implementation of the action of deep water saving and control in the Yellow River Basin and improve the level of intensive utilization of water resources in Shaanxi Province, this paper discussed the definition of deep water saving, using the Fuzzy Analytic Hierarchy Process (FAHP) to establish the evaluation index system of deep water saving level, evaluated the deep water saving level of cities in the Yellow River Basin of Shaanxi Province, put forward the existing problems and countermeasures, and calculated the deep water saving potential according to the deep water saving goal, which had theoretical support for the implementation of deep water saving in Shaanxi Province. The results show that in the current year, the level of deep water saving in Xi'an, Xianyang, Yan'an, Tongchuan, Baoji, Hancheng, Yangling, Yulin, Shangluo and Xixian New District is strong, and the level of deep water saving in Weinan is general. The deep water saving potential of the Yellow River Basin in Shaanxi Province during the 14th Five-Year Plan period is 323.9 million m³, which can increase the water saving potential of 82.7 million m³ compared with the general water saving situation [ABSTRACT FROM AUTHOR]

In order to quantify trade-associated virtual water flows and evaluate their impact on regional water systems, this paper used the multi-region input-output model to reveal the pattern and structure of the virtual water trade inside and outsided of the Yellow River Basin in 2012,2015 and 2017 and used LMDI method to analyze the impact of the virtual water net output of the watershed relative to others, and used the QAP model to analyze the impact factors of the virtual water trade among provinces within the watershed. The results show that a) the Yellow River Basin as a whole presents a virtual water net input state, but the Yellow River Basin net exports virtual water to Beijing, Tianjin, Hebei and other 12 regions. b) The virtual water trade export industry is mainly the production and supply of agriculture, electricity, gas and water. c) Structure effect and intensity effect are important driving factors of virtual water net output in the watershed. d) QAP regression outcomes prove that economic development level, geographic distance and water use intensity differences are the main factors affecting the virtual water trade. [ABSTRACT FROM AUTHOR]

In order to provide reference for the institutional construction of ecological protection and high-quality development in the Yellow River Basin, from a methodological perspective, this paper analyzed the new institutional construction needs for ecological protection and high-quality development in the Yellow River Basin, and the contradiction of the overall requirements of basin governance between fragmented management in reality. On the premise of adhering to ecological priority and green development, and implementing tailored and classified policies, the above issues could be solved by finding the smallest tool unit that covered both ecological protection and high-quality development. Green credit is the minimum common multiple between ecological protection and high-quality development. Establishing a green credit system through laws, regulations and policy regulations is a necessary foundation and logical starting point for basin collaborative governance. Yellow River Conservancy Commission and the nine provinces (regions) in the Yellow River Basin can, in accordance with higher-level laws and relevant policies such as the Yellow River Protection Law, promptly introduce operational norms applicable to the basin and region. [ABSTRACT FROM AUTHOR]

In order to provide scientific and technological support for the implementation of major national strategies for ecological protection and high-quality development and rural revitalization in the Yellow River Basin, this paper systematically summarized the research results, key technologies and typical models of the coordinated development of ecological governance and ecological economy in the Yellow River Basin over the years, analyzed the current existing and outstanding issues, and put forward corresponding countermeasures and suggestions. Over the years, various regions in the Yellow River Basin have explored a variety of coordinated development models of ecological governance and ecological economy for serious soil erosion. It includes the comprehensive ecological and economic management model with high adaptability of soil and water conservation-geomorphology-ecological economy, the ecological agriculture economic model of soil and water conservation, the integrated development model of soil and water conservation and ecological economy in wind-sand area, the coordinated development model of ecological management and derivative industries in Pisha sandstone area, the virtuous cycle model of rural energy ecology in semi-arid areas, and the governance model of ecological and economic belt of soil and water conservation in the Loess Plateau. At present, the existing outstanding issues include the concept of coordinated development of ecological governance and ecological economy is weak, the synergy between the two is not high, the space for coupling and coordination is unbalanced, and the development model has a single structure and low scale efficiency. The suggestions: To innovate the theory and key technologies of coordinated development of ecological governance and ecological economy; To establish a diversified investment mechanism, create a new model of coordinated development of ecological governance and economy and its production and industrial system with the goal of high-quality development, and explore the promotion mechanism and model of “full trust and full chain”; To build an appropriate technical system, industrial system, management system and talent support system; To establish a pilot demonstration county for the coordinated development of ecological governance and ecological economy, lead and optimize the coordinated development of regional modern ecological governance and economy. [ABSTRACT FROM AUTHOR]

In order to evaluate the sustainable utilization level of water resources in the nine provinces (autonomous regions) of the Yellow River Basin, improve the status of water resources and realize the sustainable utilization of regional water resources, this paper proposed a comprehensive evaluation index of sustainable utilization of water resources suitable for the nine provinces (autonomous regions) of the Yellow River Basin based on the water footprint model. Spearman correlation analysis and multiple linear regression analysis were used to analyze the driving factors of sustainable water resources utilization in the nine provinces of the Yellow River Basin. The results show that the water resources footprint of the nine provinces (autonomous regions) in the Yellow River Basin from 2010 to 2020 increases first and then decreases in a small amplitude, and the water environment footprint shows a decreasing trend, and the spatial distribution of water resources footprint and water environment footprint is very uneven. In the nine provinces (autonomous regions) of the Yellow River Basin, the level of sustainable utilization of water resources has increased to different degrees. The level of sustainable utilization of water resources in the upstream provinces (autonomous regions) is higher, while the level of sustainable utilization in the middle and downstream provinces (autonomous regions) is lower. The main driving factors of sustainable water resources use are population density, wastewater treatment rate and the proportion of secondary industry, followed by per capita water consumption and fertilizer application intensity. [ABSTRACT FROM AUTHOR]

In order to investigate the dynamic evolution and regional differences of quaternity cooperation of water resources-ecology-city-industry in the Yellow River Basin, the paper adopted the synergy model, kernel density estimation, Dagum gini coefficient and its decomposition to estimate it based on the data of 76 major prefecture-level cities in the Yellow River Basin from 2016 to 2020. The results show that the number of cities in primary, intermediate and good coordination is 30, 33 and 13 respectively. The level of synergy among cities is on the rise, but the absolute difference between cities is expanding and the relative difference is narrowing. except for Hu-Bao-E-Yu urban agglomeration, the absolute difference of the coordination degree of the other six urban agglomerations all shows an expanding trend. The internal differences between the upper and lower reaches of the Yellow River show a downward trend, while the internal differences in the middle reaches show an upward trend. The difference between the upper and middle reaches is the largest, and it shows a further expansion trend, and the difference between the upper and lower reaches is gradually narrowing. The difference in Hu-Bao-E-Yu urban agglomeration is the smallest and the difference in Guanzhong urban agglomeration is the largest. The difference between Guanzhong urban agglomeration and Shandong peninsula urban agglomeration is the smallest, and the difference between Jinzhong urban agglomeration and Shandong peninsula urban agglomeration is the largest. In the future, we should further strengthen factor coordination and regional coordination, give play to the dynamic comparative advantages of various regions, and promote the in-depth implementation of ecological protection and high-quality development strategies according to local conditions in the Yellow River Basin. [ABSTRACT FROM AUTHOR]

Cities are the spatial carriers of ecological protection and high-quality development in the Yellow River Basin’s nine provinces（regions). With the help of eco-efficiency, we can reveal the coordinated development of ecology and economy. In the existing studies, urban eco-efficiency is usually measured under the same external conditions, but little consideration is given to the differences of cities. By constructing a three-stage super-efficiency SBM model after excluding external environmental factors, this paper calculated the ecological efficiency of 57 cities in nine provinces（regions） of the Yellow River Basin from 2010 to 2019, and further analyzed the spatial-temporal differentiation characteristics of urban ecological efficiency in nine provinces（regions） of the Yellow River. The results show that compared with the traditional super-efficiency SBM model, the three-stage super-efficiency SBM model is more reasonable. After excluding the influence of environmental variables such as income level, industrial structure, environmental policy and foreign direct investment, the urban eco-efficiency of nine provinces（regions） in the Yellow River Basin decreases slightly. In terms of time evolution characteristics, the eco-efficiency value of most cities in the nine provinces（regions） of the Yellow River Basin shows a fluctuating downward trend, and the eco-efficiency of cities in the upper reaches decreases significantly. In terms of spatial distribution characteristics, most cities in the nine provinces（regions） of the Yellow River Basin are concentrated in low eco-efficiency areas, showing an alternating spatial distribution trend of “low-high-low-high” from west to east. [ABSTRACT FROM AUTHOR]

The interaction between water resources utilization and urban development in urban agglomerations in the Yellow River Basin is the key to the high-quality development of urban agglomerations in the basin. There is an urgent need to explore the coupling and coordination relationship between the two under the sustainable development goals, and provide new ideas for exploring the collaborative mechanism of ecological protection and high-quality development of urban agglomerations in the Yellow River Basin. Taking 72 cities and five urban agglomerations in the Yellow River Basin as examples, this paper established an analysis framework for the coupling of water footprint and city development index in 2010-2019 according to the sustainable development goal proposed by the United Nations and the difference of water resources utilization. The Theil variation index method was used to evaluate the spatial differences in coupling coordination results. The results show that the water footprint is decreasing year by year and the city development index is increasing year by year. The coupling relationship between water footprint and city development index is in an unstable state of “rising-falling-rising”. The difference in the level of urban water resources utilization within the urban agglomeration is the main reason for the difference in the level of development, and there are significant differences in the coordination relationship between water resources utilization and urban development in different urban agglomeration development stages. It suggested to build a trans-regional water resources co-governance system, give full play to the regulatory role of public water resources policies in urban agglomerations, and systematically plan the safety pattern of aquatic environment protection and water resources development and utilization among urban agglomerations. [ABSTRACT FROM AUTHOR]

Increasing carbon productivity is an effective means to achieve carbon peak and carbon neutrality. To coordinate the relationship between economic growth and carbon emissions reduction in the Yellow River Basin, the carbon productivity of 9 provinces（regions） in the Yellow River Basin from 2007 to 2017 is calculated. Based on DEA-Malmquist’s total factor carbon productivity model, the spatiotemporal evolution trajectory and spatial distribution pattern of total factor carbon productivity of 9 provinces（regions） is deduced. The potential improvement space of total factor carbon productivity is scientifically decomposed and the influencing factors of the spatiotemporal evolution of carbon productivity is identified. Based on this, the improvement path of carbon productivity in the Yellow River Basin is condensed. The results show that, 1) in the time dimension, the carbon productivity of 9 provinces（regions） rise steadily with the growth of per capita GDP,an increase of 283.3%, while the total factor carbon productivity remains at around 1.000. 2) In the spatial dimension, the regional heterogeneity of carbon productivity and total factor carbon productivity is relatively large affected by economic development and resource endowments, showing a spatial evolution pattern of “downstream significantly higher than midstream, and midstream slightly higher than upstream”. 3) From the point of influencing factors, the midstream and upstream belong to technical efficiency-driven, the role of technological progress is weak, while the downstream is a co-promotion type of technological progress and technological efficiency. Based on this, this paper proposes strategic suggestions such as innovating institutional mechanisms, promoting low-carbon development models, focusing on lowcarbon technology innovation, accelerating energy structure adjustment, strengthening regional integration cooperation, and improving factor allocation efficiency. [ABSTRACT FROM AUTHOR]

In order to clarify the current situation of digital economy and high-quality development in the Yellow River Basin, explore the coupling coordination and interaction between these two aspects and provide a reference for implementing ecological protection and high-quality development strategies in the Yellow River Basin, the interactive mechanism between digital economy and high-quality development in the Yellow River Basin was analyzed theoretically. Based on the panel data 2011 to 2020, a total of 64 prefecture-level cities in the Yellow River Basin were selected. This paper measured the development level of the digital economy and high-quality development level, empirically examined the coupling coordination relationship between these two dimensions by using coupling coordination degree model and explored the interactive relationship between the two through a PVAR model. The results of the study show that a) the development level of the digital economy in the Yellow River Basin has shown improvement during the research period, however, it remains generally lower with significant regional differences, which forms a circle distribution pattern with Jinan, Zhengzhou, Xi’an, Taiyuan and Hohhot as the core cities, and has the spatial distribution characteristics of high in the east and low in the west. b) The imbalance of high-quality development in the Yellow River Basin is prominent, characterized by the polarization and a distinct circle structure. This has resulted in the formation of a high-value area with Jinan, Zhengzhou, Taiyuan, Xi’an, Lanzhou and other provincial capitals as the core cities. c) The coupling coordination degree between the digital economy and high-quality development in the Yellow River Basin has been increasing annually, but the overall coordination level remains insufficient. The current implementation only achieves the transition from the mild imbalance to near imbalance levels, and the coordination degree also illustrates a pattern of lower reaches＞middle reaches＞upper reaches. d) Both the digital economy and high-quality development in the Yellow River Basin are characterized by self-reliance. High-quality development plays a significant role in promoting the digital economy, while the role of the digital economy in enhancing high-quality development needs to be reinforced. [ABSTRACT FROM AUTHOR]