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Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union University 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 Science & Technology of Cereals, Oils & Foods is the property of Science & Technology of Cereals, Oils & Foods Editorial Office 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.)

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Copyright of Journal of Central China Normal University is the property of Huazhong Normal University 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 Geography & Geographic Information Science is the property of Geography & Geo-Information Science Editorial Office 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.)

Under the concept of ecological civilization building, how to realize the coordinated development of resources environment carrying capacity and economic development level in ecologically vulnerable regions have become one of the urgent issues to be solved in our country. This paper took 21 prefecture-level cities in the backward U-shape bend urban circle of the Yellow River, a typical ecologically fragile area as an example. Based on the resources environment and economic development data in 2005, 2010, 2015 and 2020, the entropy weight TOPSIS method was used to analyze the resources environment, and introduced the coupling coordination model to reveal the coupling coordination relationship and its spatial-temporal evolution patterns between resources environment carrying capacity and economic development level. The results show that the resources environment carrying capacity of the urban agglomeration of that area has a fluctuating upward trend with significant regional differences. The degree of coupling and coordination between resources environment carrying capacity and economic development level gradually tends to a higher degree of coupling as a whole. Through Moran index analysis, it is found that the resources environment carrying capacity and economic development level in the urban agglomeration of the backward U-shape bend of the Yellow River show a significant positive spatial correlation in terms of coupled coordination. [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]

[Objective] The present paper aimed to study the spatio-temporal coupling characteristics and influencing mechanism of high-quality agricultural development and cultivated land utilization efficiency in Sichuan province, so as to provide a scientific basis for promoting the coordinated development of the two systems and improving the high-quality agricultural development level of Sichuan province. [Method] Taking 21 cities and prefectures in Sichuan province as the research objects, the spatio-temporal coupling characteristics and influencing mechanisms of high-quality agricultural development and cultivated land use efficiency in Sichuan province from 2011 to 2021 were studied by entropy method, super-efficiency DEA model, kernel density estimation, coupling coordination model and geographic detector. [Result] (i) The high-quality agricultural development level and cultivated land utilization efficiency in Sichuan province improved, and the overall spatial evolution of high-quality agricultural development level changed from unipolar to multipolar, forming a pattern of Chengdu Plain being the best, peripheral graded mosaic', the spatial distribution of cultivated land utilization efficiency and the high-quality agricultural development level had convergence, forming a pattern of high-efficiency large-area uplift area with Chengdu, Ya'an, Deyang and Meishan as the core, Panzhihua as the polar core, and the peripheral hierarchical collapse'. (ii) The coupling coordination between the high-quality development level of agriculture and the efficiency of arable land utilization in Sichuan province increased from 0. 526 to 0. 704, and the coordination effect gradually increased. The whole experienced three levels of changes of reluctant coordination, primary coordination, and intermediate coordination'. From the perspective of time changes, the province roughly experienced three periods of development, lag and improvement'. From the perspective of spatial changes, Chengdu took the lead in entering the stage of high-quality coordination, followed by Ya'an and Panzhihua. Mianyang, Meishan, Leshan and Neijiang entered a good coordination stage, while Ganzi Prefecture, Aba Prefecture and Liangshan Prefecture were still in a disorder stage. (iii) The driving force of agricultural scale increased year by year, becoming the most significant driving factor, resource consumption and agricultural economic coordination index driving force also improved, while the driving force of urbanization level and mechanization level weakened. [Conclusion] Promoting large-scale agricultural management and reducing resource consumption have a certain positive effect on promoting high-quality agricultural devlopment and coordinated development of farmland utilization efficiency. In addition, the province should reasonably promote urbanization development on the basis of stabilizing the scale of existing cultivated land and striving to achieve no reduction in the quantity of cultivated land and improvement in quality. [ABSTRACT FROM AUTHOR]