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Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to provide theoretical support and decision-making basis for improving the level of industrial green development in the Yellow River Basin and promoting the transformation and building industrial green development in the Yellow River Basin, the panel data of nine provinces (regions) in the Yellow River Basin from 2012 to 2021 were used to calculate the level of industrial green development in the Yellow River Basin by using entropy weight-TOPSIS model. The differences were analyzed from spatial distribution, temporal characteristics and provincial levels, and the obstacle factor diagnosis model was used to explore the main obstacle factors affecting the green industrial development in the Yellow River Basin. The results show that the level of industrial green development in the Yellow River Basin shows an over- all upward trend from 2012 to 2021, with the value increasing from 0.378 in 2012 to 0.498 in 2021. The main obstacles to green industrial development in the Yellow River Basin are industrial environmental control and industrial innovation. The main obstacle factors are the proportion of industrial pollution investment in industrial added value, industrial labor productivity, the proportion of industrial wastewater treatment funds in industrial pollution control investment, the number of valid invention patents per household of industrial enterprises above designated size, and the level of innovation capital investment. Finally, the paper put forward some suggestions to improve the level of industrial green development in the Yellow River Basin from three aspects of optimizing industrial structure, strengthening environmental governance and building green innovation system. [ABSTRACT FROM AUTHOR]

By exploring the coupling and coordination relationship between high-quality agricultural development and ecological environment in the Yellow River Basin, and providing scientific reference for ecological protection and high-quality development in the Yellow River Ba- sin, this paper took nine provinces in the Yellow River Basin as the research object, and based on the panel data from 2012 to 2020, adopted the entropy value method, coupling coordination degree, spatial autocorrelation and spatial econometric model to study the coupling and coordination characteristics of high-quality agricultural development and ecological environment, and analyzed the spatial and temporal pattern evolution and driving factors of the coupling and coordination degree between them. The results show that the high-quality development level of agriculture and the ecological environment level in the Yellow River Basin are both on the rise, the regional pattern of the former is mainly "high in the upper and lower reaches and low in the middle reaches". The regional pattern of the latter is mainly "high in the middle and lower reaches and low in the upper reaches". The degree of coupling coordination between high-quality agricultural development and ecological environment is at a relatively low level, higher coupling coordination in the downstream than that of the middle and upper stream, there is a significant spatial agglomeration effect. Scientific and technological innovation and agricultural products trade play a significant role in the coupling and coordination level of high-quality agricultural development and ecological environment in the province (autonomous region), environmental regulation, scientific and technological innovation and agricultural trade have a significant positive space spillover effect, however, the spatial influence degree of each factor is different. In order to promote the improvement of coupling and coordination degree, the following suggestions are put forward; formulating development strategies in accordance with local conditions, strengthening interregional coordination and cooperation, and correctly playing the role of government and market. [ABSTRACT FROM AUTHOR]

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]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The water body in the Yellow River basin is complex. Rapid and accurate water extraction in the basin is of great significance to the ecological protection and high-quality development of the Yellow River Basin. However, the existing water body indexes can not meet the requirements of removing the inherent mountain shadow of remote sensing images and accurately extracting complex water bodies. Based on Google Earth Engine (GEE) platform and Sentinel-2 remote sensing images, this paper proposed a Yellow River Basin Water Index (YRBWI), and the effect of water extraction results were compared with the Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDWI) and Shadow Water Index (SWI). The results show that YRBWI achieves an excellent water extraction effect in the Yellow River Basin, specifically: YRBWI can solve the confusion of mountain shadows and accurately extract water bodies with high sediment content; compared with NDWI, MNDWI, and SWI, YRBWI has the largest OA and Kappa values, indicating that YRBWI has the highest water extraction accuracy; the water body extraction accuracy of YRBWI is insensitive to the change of threshold value and has high robustness. [ABSTRACT FROM AUTHOR]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to provide reference for solving the difficult issue of unbalanced and uncoordinated development of the Yellow River Basin, this paper built a high-quality development evaluation index system of the Yellow River Basin from five dimensions of innovative development, coordinated development, green development, open development and shared development. The paper used the weighted TOPSIS model to measure the high-quality development level of provinces（regions） in the Yellow River Basin from 2010 to 2019. The results show that in 2010-2019, the high-quality development level of the Yellow River Basin is generally low, and there are obvious differences among provinces（regions） in space, showing a continuous upward trend in time, and the inter provincial gap is gradually narrowing. From all dimensions, the levels of innovative development and shared development shows a steady upward trend. The levels of open development and coordinated development both experience a slight decline from 2012 to 2015 and begin to rise significantly in 2016. The level of green development also shows an upward trend but fluctuates greatly. The coordination level of economic, social and ecological environment coupling in the Yellow River Basin is low, and it has been in a state of imbalance for a long time. After 2016, it has changed from a moderate imbalance to a mild imbalance and a near imbalance. Government capacity, the degree of opening to the outside world, the level of education and the degree of medical security have a positive impact on the degree of coupling and coordination. The level of technology and ecological conditions have different effects on the degree of coupling and coordination of the Yellow River. [ABSTRACT FROM AUTHOR]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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]

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]

The ecological protection and high-quality development of the Yellow River Basin are significant national strategies. The “Yellow River Protection Law of the People’s Republic of China” provides legal guarantees for comprehensive management at the basin level, high-level protection of the Yellow River, high-quality development, and the building of a “Happy River” benefiting the people. The legislative basis of the “Yellow River Protection Law of the People’s Republic of China” includes legislation at the national, local, and basin levels. It addresses the issues of unclear jurisdiction of Yellow River Basin management institutions and the lack of uniformity and coordination among provincial regulations. The paper proposed recommendations for the prompt building of a legal framework system based on the “Yellow River Protection Law of the People’s Republic of China” and the timely promotion and evaluation of the legislation and its implementation. [ABSTRACT FROM AUTHOR]

Based on the panel data of 58 prefecture level cities along the Yellow River from 2010 to 2019, the water resources green efficiency of these cities was studied and analyzed in this paper by using the Super-SBM model. The results show that the water resources green efficiency of cities along the Yellow River is generally improved. The absolute value of the green efficiency level of water resources in the middle and lower reaches is greater than that in the upstream, and the improving rate of the efficiency level in the upstream is greater than that in the middle and lower reaches. Tobit model was also applied in this paper to analyze the impact of the environmental regulation, industrial structure, economic development level, and the degree of openness on the green water resources efficiency. The results show that openness and economic development level have little impact on water resources green efficiency, while the industrial structure has a negative effect and the environmental regulation has a positive influence. Moreover, there are differences among regions in the Yellow River. Policy suggestions are proposed in this paper that the Yellow River Basin should take measures according to local conditions, strengthen water use supervision of upstream cities and collaborative governance of the whole basin, give full play to the agglomeration effect of water resources utilization, accelerate technology spillover and strengthen weak areas, and pay attention to the role of resources allocation in improving green water use efficiency. [ABSTRACT FROM AUTHOR]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to facilitate the efficient utilization of water resources and the high-quality development of economy and society in the national central cities of the Yellow River Basin, this paper analyzed the water resources utilization efficiency, annual changes and influencing factors of Zhengzhou and Xi’an, the national central cities of the Yellow River basin, in terms of water resources utilization, social economy and ecological environment, based on the super efficiency SBM model, DEA Malmquist index and Tobit regression model. The results show that: a) In 2005-2020, Zhengzhou and Xi’an have moderate water resources utilization efficiency. In terms of water resources utilization and socio-economic sub-systems, the efficiency of water resources utilization of Zhengzhou is higher than that of Xi’an; In terms of ecological environment, the water resources utilization efficiency of Xi’an is higher than that of Zhengzhou; The comprehensive water resources utilization efficiency of Zhengzhou is higher than that of Xi’an. b) The total factor productivity of water resources utilization in Zhengzhou City is in an overall rising state in three sub-systems, Xi’an City is in an overall rising state in social and economic sub-systems of water resources utilization, and is in a declining state in water resources utilization and ecological environment. c) Economic development level is positively correlated with water resources utilization efficiency. The correlation between industrial structure, scientific and technological innovation level and water resources utilization efficiency is not significant. There is a negative correlation between water resources endowment and water resources utilization efficiency. [ABSTRACT FROM AUTHOR]

In order to explore an effective way to improve the coupling and coordination between ecological protection and high-quality development in the Yellow River Basin, build a high-quality development evaluation index system including five dimensions of innovative development, coordinated development, green development, open development and shared development, and an ecological evaluation index system including three dimensions of ecological environment resources, ecological environment carrying capacity and ecological environment management and based on panel data from nine provinces (regions) in the Yellow River Basin from 2002 to 2021, the entropy-weighted TOPSIS method was used to calculate the high-quality development index and ecological protection index. Then it calculated the coupling coordination degree and the decoupling index of the two and analyzed the coupling coordination level, decoupling state and its temporal and spatial changes. The results show that a) from 2002 to 2021, the level of ecological protection and high-quality development in the Yellow River Basin has been improved and the trend of change is steadily improving. However, the issues of uneven high-quality development in the western region lagging behind the eastern region, the larger differences in ecological protection among the provinces (regions) and the fragile ecological environment have not been fundamentally changed. b) The coupling coordination degree between ecological protection and high-quality development in the Yellow River Basin fluctuated significantly before 2010 and the coupling coordination level was basically imbalanced. After 2010, the coupling coordination degree has been steadily improved, and the coupling coordination level is gradually shifted from primary coordination to good coordination and high-quality coordination. However, there are significant differences in the coupling coordination degree and coupling coordination level among different provinces (regions) . c) The decoupling state between ecological protection and high-quality development in the nine provinces (regions) of the Yellow River Basin from 2002 to 2021, in a few years, it is an expansion connection or weak decoupling, and most years experiencing unsatisfactory strong decoupling, strong negative decoupling, weak negative decoupling or declining coupling. At the end of the research period, most provinces (regions) experience a decline in high-quality development level accompanied by a strong negative decoupling state of improved ecological environment. This paper puts forward the path to enhance the coupling coordination between ecological environment protection and high-quality development of strengthening the flow of industrial development factors, accelerating industrial transformation and upgrading, and promoting the development of digital economy. [ABSTRACT FROM AUTHOR]

In order to provide reference for the formulation of relevant policies for the ecological protection and high-quality development of the Yellow River Basin, this paper started from the perspective of the dual coupling of ecological protection and high-quality development in the Yellow River Basin to build separate evaluation indicator systems for development quality and ecological protection. Then, it calculated the development quality index and ecological protection index of each province (autonomous region) in the year 2020 by using entropy method. It built a two-dimensional quadrant model of ecological protection and development quality with the national average development quality index and ecological protection index as the coordinate origin. Based on the distribution of each province (autonomous region) in the two-dimensional quadrants, it determined the coordination status of ecological protection and high-quality development. The results show that there is significant variation in ecological protection and development quality among provinces (autonomous regions) in the Yellow River Basin, with prominent issues of imbalance and inadequacy. Using the national average development quality index and ecological protection index as benchmarks, considering a development quality index higher than the national average as high quality and an ecological protection index higher than the national average as good ecological quality, the coordination status of ecological protection and high-quality development in the various provinces (autonomous regions) of the Yellow River Basin is classified into four types of excellent ecology-high quality, excellent ecology-low quality, low ecology-low quality and low ecology-high quality. The results show that only Sichuan is in a relatively ideal state of excellent ecology-high quality, while the other provinces (autonomous regions) are in the three types of non-coordinated states of excellent ecology-low quality, low ecology-low quality and low ecology-high quality. Finally, it proposes the establishment of a long-term mechanism for the coordinated advancement of ecological protection and high-quality development in the Yellow River Basin, focusing on the six aspects of top-level strategic design, inter-provincial (autonomous regional) collaborative control, public participation, rigid constraints on ecological protection, constraints on rights, responsibilities and interests and ecological compensation. [ABSTRACT FROM AUTHOR]

In order to provide a basis for the policy design of digital economy enabling the building of modern industrial system in the Yellow River Basin, this paper empirically tested the impact mechanism and effect of digital economy on the building of modern industrial system in the Yellow River Basin by taking 57 prefecture-level cities in the Yellow River Basin as sample units, using the panel data from 2011 to 2019 and adopting a two-way fixed effect model of space and time. The results show that the digital economy has a significant promoting effect on the building of modern industrial system in the Yellow River Basin, and technological innovation and human capital are important intermediary transmission factors. The development of digital economy can effectively promote the building of modern industrial systems in the lower reaches of the Yellow River Basin, but its impact on the upper and middle reaches is not significant. The digital economy has a significant positive impact on the building of modern industrial systems in second-tier cities, third-tier cities and fourth-tier cities in the Yellow River Basin, but its impact on first-tier cities and fifth-tier cities is not significant. The promotion effect of digital economy on the building of modern industrial system in the Yellow River Basin has a threshold effect. When the development level of digital economy is higher than the threshold value, its promotion effect on the building of modern industrial system in the Yellow River Basin is significantly enhanced. [ABSTRACT FROM AUTHOR]

In order to scientifically predict the future sediment load of the Yellow River, support the Yellow River harnessing and development and major project construction and based on the analysis of the characteristics and causes of the variation of water and sediment in the near future, this paper used the hydrological method and the genetic analysis method to predict the future sediment amount of the Yellow River, at the same time, the large flow duration and the water volume which were beneficial to sediment transport were greatly reduced, the dynamics of flow and sediment transport were greatly weakened, and the relationship between water and sediment was still not coordinated. Without considering the sediment retention of the Xiaolangdi Reservoir, the downstream channel would still be silted up. It is considered that the main influencing factors of the recent sediment reduction are the massive construction of water conservancy and soil and water conservation measures and the reduction of rainfall intensity, which account for 80% and 20% respectively, taking into account the existing research results and the uncertainty of the forecast, it is suggested that the average annual sediment hydraulic engineering of the Yellow River in the future should be about 800 million tons. [ABSTRACT FROM AUTHOR]

Science and technology innovation is an important support for the ecological protection and high-quality development strategy of the Yellow River Basin, and the Regional Science and Technology Innovation Center is an important carrier for realizing regional innovation. The paper took 67 prefecture-level cities in the Yellow River Basin as the research objects, analyzed the spatial and temporal evolution characteristics of science and technology innovation level in the Yellow River Basin by using entropy TOPSIS, kernel density, spatial autocorrelation and standard deviation ellipse, and proposed the enhancement path of science and technology innovation center in the Yellow River Basin. The result shows that temporally, the level of science and technology innovation development in the Yellow River Basin shows a gradual growth trend, from 0.084 in 2011 to 0.137 in 2020. Furthermore, the level of science and technology innovation in the basin as a whole shows a pattern of polarization, with the absolute difference gradually decreasing and the imbalance decreasing. Spatially, the level of science and technology innovation in the Yellow River Basin has significant spatial differentiation characteristics, with a "block-shaped" distribution pattern, and the overall level is still in the low and lower level areas, and the downstream area > midstream area > upper stream area. In addition, the level of science and technology innovation in the Yellow River Basin has significant spatial clustering characteristics, and the spatial clustering characteristics are gradually enhanced with the passage of time. The science and technology innovation centers in the Yellow River Basin need to improve the development level of regional innovation centers by focusing on the advantages of innovation center cities, accelerating industrial structure upgrading, promoting industrial integration and agglomeration development and promoting the spatial model of "multicore drive and point-axis extension" in central cities. [ABSTRACT FROM AUTHOR]

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Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to comprehensively understand the variation law of groundwater storage in the Yellow River Basin and rationally develop and utilize regional groundwater resources, based on GRACE satellite data and GLDAS data, this paper applied M-K trend analysis, correlation analysis and random forest algorithm to analyze the spatial-temporal variation characteristics and driving factors of groundwater storage in the Yellow River Basin from 2003 to 2021. The results show that; from 2003 to 2021, groundwater storage in the Yellow River Basin has an extremely significant decline trend, and the decrease of groundwater storage in the lower reaches is the largest (1.4 cm/a). The spatial distribution of annual average groundwater storage in the Yellow River Basin from 2003 to 2021 shows a gradual increase in the decrease of ground- water storage in the upper reaches to the lower reaches. Vegetation restoration is the main factor of groundwater storage change in the middle reaches of the Yellow River Basin from 2003 to 2021, while the decrease of groundwater storage in the lower reaches of the Yellow River Ba- sin may be related to the change of land use types. [ABSTRACT FROM AUTHOR]

In order to promote the conservation and intensive utilization of water resources in the Yellow River Basin, this paper built Tapio model and LMDI model, calculated the decoupling elasticity of total water consumption and economic growth during the period of 2000-2019, and decomposed the driving factors of the decoupling elasticity. The results show that a) the total water consumption and economic growth in the Yellow River Basin have experienced weak decoupling and strong decoupling alternately. b) The decoupling status of each province is different. Qinghai, Gansu, Inner Mongolia, Shaanxi and Shandong have two states of weak decoupling and strong decoupling. Sichuan has three states of weak decoupling, strong decoupling and expansion negative decoupling. Ningxia, Shanxi and Henan have four states of expansion negative decoupling, increase connection, weak decoupling and strong decoupling. c) The restraining factors of the decoupling between the total water consumption and economic growth in the Yellow River Basin and provinces are economic development and population size, and the promoting factors are water intensity and industrial structure. d) The contribution of industrial structure and water intensity to decoupling elasticity is quite different among the three industries, the contribution of industrial structure adjustment and water intensity decline to decoupling mainly comes from the primary industry. [ABSTRACT FROM AUTHOR]

The phenomenon of heavy industry and heavy energy in the traditional industries of the Yellow River Basin seriously hinders its high-quality development, and digital transformation has become the direction of industrial transformation in the new era. In order to build a digital ecological community and explore the co-evolution relationship among three industries, this paper took nine provinces in the Yellow River Basin as the research object, based on the synergy model, explored the synergy of industrial digital composite systems in the basin from 2011 to 2020 and explored the driving path to achieve high-level synergy with FS-QCA method. The results show that a) the composite systems in the Yellow River Basin all show a trend of “slowly rising first and then fluctuating and falling”, and the digital synergy of industries in nine provinces (regions) is in a low synergy state for a long time; b)No single antecedent condition can constitute a necessary condition for the high synergy of industrial digitalization, and the high synergy of industrial digitalization composite system needs the joint action of many factors, and the multi-factor configuration analysis forms three paths of technology-driven, economic-based guarantee and comprehensive adjustment. Based on these three paths, it is suggested that the nine provinces (regions) in the Yellow River Basin should adopt the wisdom development of all industries, the linkage of industry-wide innovation, strengthen the dominant factors and coordinate the industrial structure. [ABSTRACT FROM AUTHOR]

This paper studied the coordination degree between water environment and social economy in the Yellow River basin from multiple logical and spatial dimensions. Based on the analysis of the interaction between water environment and social economy, the water environment index system of the Yellow River basin was constructed from three logical dimensions of water resources, water pollution and water governance. The coupling coordination model was used to measure the overall coordination degree between water environment and social economy in the Yellow River basin. From the three spatial dimensions of the upper, middle and lower reaches of the Yellow River basin, seven urban agglomerations along the Yellow River and 61 cities, and three logical dimensions of water resources, water pollution and water governance, this paper used Deng’s correlation degree method to measure the correlation level between water environment and social economy and explore its causes. The results show that the overall coordination degree between water environment and social economy in the Yellow River basin is low but increasing. From 2009 to 2018, the correlation degree between the three logical dimensions of water environment and social economy fluctuated between 0.7-0.8 and the spatial differentiation is not obvious. From 2009 to 2018, the correlation degree between water environment and social economy in the middle of the Yellow River basin has been increased, while the correlation degree between water environment and social economy in the upper and lower reaches of the Yellow River basin has been decreased. Taiyuan urban agglomeration shows an increasing trend and Ningxia urban agglomeration along the Yellow River decreases slightly. Among the 61 cities, it needs to focus on the cities of Longnan, Linfen and Baoji that have high correlation between water resources and social economy, the cities of Guyuan, Jincheng and Longnan that have high correlation between water pollution and social economy and the cities of Linfen, Qingyang and Bayannur that have low correlation between water management and social economy. [ABSTRACT FROM AUTHOR]

Copyright of Yellow River is the property of Editorial Board of Yellow River and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The optimization of the industrial layout in the Yellow River Basin is of considerable significance to promote its high-quality development. Based on investigating the basic situation of the industrial layout of the nine provinces (autonomous regions) in the Yellow River Ba sin, this paper depicted the distribution map of key industries in the Yellow River Basin and analyzed the current situation of the industrial layout in the Yellow River Basin and its impact on the Yellow River. This paper also discussed the applicability of three industrial layout models, including the growth pole development, point-axis development and network development under the condition of high quality development in the Yellow River Basin. The industrial layout optimization matching the high-quality development of the upper, middle and lower reaches of the Yellow River was proposed and the expected effect of this optimization's implementation was also studied. The results show that the effective industrial layout models matching high-quality development of the Yellow River Basin are expanding the industrial circle radiation range of existing growth poles and developing new growth poles, strengthening the driving ability to exist industrial axes and developing new shafts, as well as carrying out green and sustainable industrial development. [ABSTRACT FROM AUTHOR]