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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.)

Copyright of China Rural Water & Hydropower is the property of China Rural Water & Hydropower 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.)

Copyright of Pearl River is the property of Pearl River 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.)

Copyright of Modern Economic Science is the property of Modern Economic 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.)

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 China Population Resources & Environment is the property of Shandong 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 Journal of Capital Normal University (Natural Science Edition) is the property of Journal of Capital Normal University (Natural Science Edition) 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.)

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]

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 China Forestry Economy is the property of China Forestry Economy Magazine Agency 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 China Rural Water & Hydropower is the property of China Rural Water & Hydropower 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.)

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]

Copyright of Shanghai Land & Resources / Shanghai Guotu Ziyuan is the property of Editorial Board of Shanghai Land & Resources 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 Mountain Research (10082786) is the property of Mountain Research 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.)

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.)

Under the background of “digital era”, the rapid development of big data technology and cloud computing technology has promoted China’s informatization process to a new level, integrating more and more originally scattered data into a huge database. Promoting the high-quality development of digital economy has become a key path for regional economic growth and industrial development transformation, and also a key way to synchronously promote the coordinated development of new urbanization and agricultural modernization. Based on the balanced panel data of Hebei Province from 2011 to 2020, this paper conducts theoretical research and empirical analysis by building the index evaluation system of the coupling system of digital economy, new urbanization and agricultural modernization, measures and studies by using the entropy weight TOPSIS model and the coupling coordination analysis model, and divides the stages according to the evaluation standard of coupling coordination, summarizes and analyzes the current situation and existing problems of the coordinated development of the three systems in Hebei Province. Finally, according to the analysis results, the countermeasures and suggestions to promote the high-quality coordinated development are put forward from the aspects of improving the high-quality coordinated development mechanism of digital economy and “two modernizations”, building a special agricultural town with regional characteristics, and strengthening the construction of agricultural digital talent team. [ABSTRACT FROM AUTHOR]

[Objective] The purpose of this paper is to measure the coupling coordination of urban land use and the economic-social-environmental system in the Yangtze River Economic Belt, and investigate its spatial and temporal differentiation characteristics and driving factors, and then to provide decision-making for promoting sustainable land use and high-quality coordinated development in the Yangtze River Economic Belt. [Methods] Based on the panel data of 108 prefecture-level cities in the Yangtze River Economic Belt from 2006 to 2019, this study constructed an indicator system of land use and economic-social-environment system, measured the coupled coordination degree using the entropy weight method and coupled coordination degree model, and examined its spatial and temporal divergence characteristics and driving factors with the methods of Dagum Gini coefficient, Moran index and geographically weighted regression model. [Results] The coupling coordination degree of land use and economic-social-environment in the Yangtze River Economic Belt increased from 0.309 to 0.477 during 2006—2019, transferring from mild disorder to barely coordinated. The coupling coordination degree decreased from downstream to upstream regions, showing a spatial distribution characteristics of the high level in the east and low level in the west. The overall, intra-regional, and inter-regional differences in coupling coordination showed a decreasing trend. The inter-regional variance was the main explanation for the overall variance, and its contribution increased from 43.67% to 46.88%. The Moran′s I of coupling coordination increased from 0.095 to 0.134, with significant positive spatial autocorrelation, and the ‘High-High’ agglomeration area mainly distributed in the lower reaches, while the ‘Low-Low’ agglomeration areas mainly distributed in the middle and upper reaches. Topographic relief and slope showed a negative driving force, urbanization level and foreign direct investment showed a positive driving force, and population density showed a two-level driving force. [Conclusion] The coupled coordination of land use and economic-social-environment in the Yangtze River Economic Belt has spatial and temporal heterogeneity, and differentiated land use policies should be formulated with full consideration of regional characteristics. [ABSTRACT FROM AUTHOR]

Based on data of domestic service enterprises in operation and domestic service network attention in 297 Chinese cities at and above the prefectural level, this paper establishes an assessment indicator system for the development and demand of domestic service industry, and analyzes the characteristics of spatial differentiation and the degree of coupling coordination of the development and demand of urban domestic service industry in China by means of mean square error decision method, coupling coordination degree model and spatial autocorrelation. The result shows that: 1) In general, the development of domestic service industry in Chinese cities is at a low level and exists relatively great regional difference, with a trend of stepped reduction from the east of China to the middle to the west, which shows a dotty pattern that the core city of an urban agglomeration is prominent, while the demand of domestic service industry exists relatively small regional difference but obvious agglomeration in space, which forms four high-value agglomeration areas including the Yangtze River Delta, the Bohai Rim, the Pearl River Delta, and the west coast of the Taiwan Straits. 2) The degree of coupling coordination is at a moderate level on the whole, and the east-west direction is the main direction that spatial differentiation generates; meanwhile, the coupling coordination degree shows the significant characteristic of agglomeration, and typical agglomeration areas are the core of an urban agglomeration, its periphery and the provincial center, and the edge of the province. 3) With the decline of cities at level, the level of coupling coordination degree transforms from an extreme high level to a low level, and the proportion of cities with backward development in domestic service industry also rises gradually. However, the main reasons for the lower coupling coordination degree are the small quantity of domestic service enterprises and their lower service quality and scale. Finally, based on the type of coupling coordination degree, the paper puts forward specific solutions and suggestions to provide theoretical foundation for the realization of a higher level of dynamic balance between supply and demand of domestic service. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Natural Resources / Ziran Ziyuan Xuebao is the property of Journal of Natural Resources 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 China Forestry Economy is the property of China Forestry Economy Magazine Agency 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.)

Balancing the relationship between tourism economy and ecosystem is an important prerequisite for achieving sustainable economic development. Taking Changhai County as an example, this paper constructs a tourism economy and ecological environment evaluation index system to calculate their comprehensive indexes, analyzes the time series evolution characteristics of their coupling coordination degree by using the coupling coordination model, and judges their dynamic response relationship by using the vector auto-regressive（VAR）model. The research shows that from 2010 to 2018, the tourism economy and ecological environment of Changhai County were promoted synchronously, and their comprehensive index and coupling coordination degree increased with time, showing a trend of optimal development;the response of the tourism economy to its own shocks turned from positive to negative after 2011;and the response of the ecological environment to the tourism economic shocks turned from negative to positive, the response relationship between the tourism economy and the ecological environment of Changhai County finally became stable after 2013. The tourism economy and the ecological environment are mutually causal. In the short term, the tourism economy is greatly affected by itself. In the long term, the tourism economy is affected by itself and the ecological environment, while the ecological environment is continuously affected by both the tourism economy and itself. The impact of the tourism economy on the ecological environment is increasing year by year. It is suggested that Changhai County adhere to ecological protection, timely adjust relevant policies, promote high-quality development of tourism industry, promote scientific transformation of island economy, and maintain the coordination and balance between tourism economy and ecological environment. [ABSTRACT FROM AUTHOR]

Copyright of Pearl River is the property of Pearl River 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.)

Along with the development of urbanization of arid zones, the water resources issue has become increasingly prominent, and the sustainable utilization of water resources has become a hot spot for research in the arid zone. This paper analyzed the evolution characteristics of the comprehensive evaluation index of urbanization development and water resources utilization as well as its relative development level in 15 administrative regions of Xinjiang from 2003 to 2018. It also analyzed the spatial and temporal evolution characteristics of the coupled and coordinated relationship between urbanization development and water resources utilization through a coupled coordination model. The results show that both the comprehensive evaluation index of urbanization development and water resources utilization in Xinjiang have been increased significantly, but the level of urbanization development is higher than that of water resources utilization; the coupling degree of urbanization development system and water resources utilization system in Xinjiang is in the antagonistic stage all year round and develops to· ward the grinding stage; the urbanization development system and water resources utilization system in Xinjiang have experienced three stages of coupling coordination degree, namely low, medium and high. Spatially, although the 15 administrative regions have different starting points, they have all reached the stage of highly coordinated coupling one after another. Finally, the urbanization development model and water resources utilization countermeasures based on the sustainable utilization of water resources are proposed. [ABSTRACT FROM AUTHOR]

It is helpful to optimize the function of land space to analyze the variation characteristics of production, living and ecological space (PLES)pattern. Taking Beijing as a case, a simple PLES identification method was used by cobiming remote sensing image and land-use evaluation based on remote sensing images of Beijing in 2000, 2005, 2010, 2015 and 2020. The spatial distribution scale, spatial clustering and spatial interaction relationship of the PLES in Beijing are analyzed by grid analysis, spatial auto-correlation analysis and coupling coordination model in this paper. There are following findings. (1) There was great regional diversity in the variation characteristics of the PLES of Beijing. Production space presented prominent expansion, living space and ecological space were shrinking. (2) The development of production and living space in Beijing has stronger spatial aggregation than ecological space, their spatial auto-correlation indexes are both above 0. 80. In 2000, the spatial auto-correlation index of ecological space was only 0. 74, but it rose constantly in the past two decades. In 2020, the spatial auto-correlation index reached 0. 79, but there was still a gap between production and life. (3) The coupling and coupling coordination indexes of PLES are increasing year by year in Beijing. However, it is still in the coupling coordination and basic coordination stage. The coordination index between production and living spaces is the lowest. The regions of lowest coordination index of production and living spaces located in Fangshan District, Mentougou District, Huairou District and Yanqing District. The conclusion is that on the basis of optimizing the pattern of PLES, relevant policies and regulations should be further improved. Formulating a scientific development plan can promote the coordinated development of PLES. [ABSTRACT FROM AUTHOR]

Background——As a characteristic agricultural industry, tea industry is the leading industry for farmers to get rid of poverty and increase income in tea-producing areas. Fujian, as a major tea-producing province, not only has a better industrial foundation, but also has distinctive characteristics of tea industry development, which is representative and typical. Methods——Employing coupling coordination degree model and obstacle degree model, the coupling coordination degree of tea industry and regional economy in Fujian was analyzed and the obstacle factors were diagnosed. The data are derived from the Statistical Yearbook of Fujian from 2011 to 2021,the Statistical Yearbook of China’s Tea Industry from 2011 to 2017,and the Statistical Bulletin on National Economic and Social Development of Fujian from 2011 to 2020. Results——Through the analysis, the following conclusions can be drawn: (1) The tea industry in Fujian moves towards a high level of coupling with the regional economy. From 2011 to 2020,the coupling degree values were maintained between 0.7 and 1.0,and the push-pull interaction between the tea industry and economic development showed an increasingly strong trend, which led to the increase of the coupling degree value, and began to grow to and maintain the highest level in 2015.This shows that the tea industry and regional economy have entered a high level of coupling from the grinding stage. (2) The relation of Fujian tea industry and regional economy gradually moves to benign interaction and efficient coordination. In addition, the coupling coordinated development is the leading type in tea industry system from 2011 to 2015.In 2017, the synchronous development of subsystems was transformed into the dominant type of regional economic system, and the two subsystems were alternately dominated from 2018 to 2020.On the whole, the coupling development type of the two has gone through three stages, namely, from the imbalance recession stage, transition stage to the coordinated development stage. And the system changes from mild disorder to high-quality coordination. (3) Tea export volume, yield, output value, tea garden area and contribution rate of primary industry are the main obstacle factors. From 2011 to 2015,the export volume of tea has always been the first obstacle factor, followed by tea yield and tea garden area. From 2018 to 2020,the ranking of the top five obstacle factors has changed, the impact of tea exports has gradually decreased, and the proportion of tea output value in GDP has gradually increased, ranking first in 2020. Conclusions and Discussions—According to the research results, the following conclusions are drawn: (1) There is a strong interaction between the tea industry and the regional economy in Fujian Province, and it has developed from a low level of mutual restraint to a high level of mutual promotion.. (2) The obstacle degree of the subsystem of TE system in Fujian Province has not changed much. Starting from the main obstacle factors, this paper puts forward countermeasures and suggestions to promote the coordinated development of tea industry and regional economy: (1) It is necessary to improve tea quality, promote tea exports. (2) It is required to deepen the processing level and improving the output value of tea. (3)It is expected to enrich the form of industrial integration and improve comprehensive benefits. [ABSTRACT FROM AUTHOR]

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.)

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.)

In order to explore the coupling degree and interactive stress between ecological environment and economic development of the Yellow River basin and provide reference for the ecological protection and high-quality development decision-making of the basin, This paper analyzed the relationship between the ecological environment and economic development of nine provinces (regions) in the basin from 2007 to 2017 by using coupling coordination and interactive stress model. The results show that in terms of time series, the coupling coordination between the ecological environment and economic development of the Yellow River basin is in a serious maladjustment state in the early stage, and in a good coordination state in the late stage, and it is more and more coordinated in the whole researched period; in terms of spatial pattern, the coordination degree between the ecological environment and economic development of the upper and middle reaches of the Yellow River is higher than that of the lower reaches of the Yellow River in the early stage, and the coordination degree of the upper and lower reaches of the Yellow River is higher than that of the middle reaches of the Yellow River, the relationship between ecological environment and economic development in the middle reaches of the Yellow River needs further adjustment; through the verification of the stress relationship, there is a certain interactive stress relationship between ecological environment and economic development in the Yellow River basin. In the early stage of the study period, the comprehensive index of ecological environment is larger than that of economic development, in the later stage, the comprehensive index of economic development is larger than that of ecological environment and the improvement of ecological environment has a certain lag. [ABSTRACT FROM AUTHOR]

Copyright of Mountain Research (10082786) is the property of Mountain Research 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.)

Guided by the new development concept, this paper constructed an indicator system for the high-quality development of the marine economy, selected the data of coastal areas in China from 2007 to 2019, and analyzed the coupling coordination degree and regional differences of the high-quality development of the marine economy in China with the entropy method, coupling coordination degree and Dagum Gini coefficient method. The results showed that the development level of the five dimensions of the high-quality development of China's marine economy showed an upward trend, but there was a large room for improvement. The high-quality development of China's marine economy had gone through two stages including near imbalance and barely coordinated. The coupling coordination degree of high-quality development of the marine economy had the largest difference in 2007, and had shown a downward trend since then. The southern marine economic area and the difference between the southern marine economic area and the northern was the main reason for the difference of coupling coordination degree. According to the research conclusions, the corresponding suggestions were put forward to improve the coupling coordination degree of high-quality development of China's marine economy.

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 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 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.)

Scientific and technological innovation is an important driving force for high-quality tourism development. In order to promote innovation-driven green development of tourism industry in coastal areas, this paper used panel data of 11 coastal provinces (autonomous regions and municipalities directly under the Central Government) in China from 2011 to 2019, evaluated the level of scientific and technological innovation and green development of coastal tourism based on entropy method, and then used coupling coordination model to explore the coupling coordination relationship between the two. The results showed that: (1) the sub-system of science and technology innovation and green tourism development in the coastal areas presented a steady rise. The distribution pattern of science and technology innovation level in the three marine economic circles was from high to low in the east, north and south, and the green development level of coastal tourism was from high to low in the east, south and north. (2) The coupling coordination between the two systems in the coastal areas was in the basic coordination state of continuous optimization. The three marine economic circles showed the spatial characteristics of high coupling coordination degree in the east and low coordination degree in the north and south. (3) The level of coordination between the scientific and technological innovation and the green development of coastal tourism in provinces (autonomous regions and municipalities directly under the Central Government) had been continuously enhanced, and had developed to the direction of basic coordination and moderate coordination. Based on the above conclusions, suggestions were put forward to advocate the low-carbon development of tourism, explore the green and innovative development mode of coastal tourism, and formulate differentiated green tourism development strategies.

In order to promote the coordinated and sustainable development of China′s logistics industry and marine industry, the paper comprehensively used neutral cross efficiency model, entropy method, coupling evaluation model and gravity center migration model, selected multi-level evaluation indicators including location entropy, systematically evaluated the logistics efficiency and marine industry agglomeration level of 11 coastal areas in China from 2008 to 2018, analyzed the spatial and temporal pattern characteristics of the coordination relationship between the two and put forward development suggestions. The results showed that from 2008 to 2018, the logistics efficiency and the level of marine industry agglomeration in China′s coastal areas showed an increasing trend, but there was still a large development space and there were large regional differences. The overall coupling coordination degree of logistics efficiency and marine industry agglomeration level had been continuously improved and had developed from primary coordination to intermediate coordination. The coupling coordination level of various coastal areas had varied from near-disorder to good coordination and the center of coupling coordination degree basically showed a NE-SW migration trend. To improve the coordination between logistics efficiency and the level of marine industry agglomeration, the construction of logistics infrastructure should be strengthened and adhered to the two-way linkage between land and sea, and promote the flow of resource elements.

Water resources risk assessment is a premise of protecting the development of industry and agriculture in Heilongjiang Province. Land resources combined with water resources affect the agricultural and industrial development. However, few studies have link both together in water resource studies. In this paper, we assessed water shortage risk and found the optimization paths of water resources based on coupling of water and land resources in Heilongjiang Province and its 13 prefecture-level cities. Four criteria layers with 17 indicators including water resources endowment, social economy, water utilization and water environment were established as a risk assessment index system of water shortage in the study area. Objective empowerment entropy method was used to determine the weight of each evaluation index in order to avoid the inaccuracy of subjective assumptions. The risk of water resources shortage evaluated by matter-element model was divided into 5 levels: Grade I (low risk), Grade II (lower risk), Grade III (medium risk), Grade IV (higher risk) and Grade V (high risk) grade. Then, the driving force of water shortage risk was analyzed by using the logarithmic mean Divisa index (LMDI) model, and the mean value of water consumption from 2010 to 2014 in Heilongjiang Province was adopted as the reference, and the difference between the water consumption of each criterion and the reference water consumption in 2010-2014 was calculated and summarized. Decomposition model of water utilization variation was constructed. Results showed that the comprehensive correlation degree of the total water shortage in Heilongjiang Province was 0.03, belonging to Grade III (medium risk). The risk of water shortage in the 13 prefecture-level cities showed great spatial differences, which was characterized as low risk in the north and south and high in the east and west of the Heilongjiang. The water shortage risk belonged to Grade V in the Daqing, Hegang, Jiamusi and Shuangyashan, Grade IV in the Qiqihar and Mudanjiang, Grade III in Suihua, Yichun and Harbin, Grade I in the Daxinganling and Heihe. The main influencing factors of the high risk of water shortage included water yielding coefficient, water investment per unit area for agriculture and forestry, water consumption per million RMB, per capita water requirement, irrigation rate of cultivated land and discharge rate of sewage treatment, which should be significantly considered in finding solutions to water shortage. The LMDI showed that the social economy and water utilization were the main factors influencing the grade of water shortage risk. Then, the coupling degree of the respective sub-elements of water and land resources was evaluated by the coupled coordination model, and it was concluded that the coupling degree of land and water resources in Heilongjiang Province was at the moderate level of antagonistic coupling, and the land resources development lagged behind slightly. Meanwhile, the lagging factors of these regions were analyzed from the aspects of social economy and water and land utilization. Based on the evaluation of water shortage risk, the analysis of driving factors and the coupling analysis of water and land resources, the double optimization path of water shortage with both economic orientation and resource orientation was selected. According to the specific problems of different risk areas, advices on specific solution were put forward to promote effective coupling of water and land resources and to find an effective way to alleviate water shortage. As the continuous development of economy and society, regional resource endowments and risk characteristics should be combined to formulate a scientific and rational scheme on water utilization. [ABSTRACT FROM AUTHOR]

This paper constructs an evaluation index system for high-quality development of coal industry from six dimensions: economic benefits, innovative development, intensive development, safe development, green development and efficient development.The high-quality development of China's coal industry from 2000 to 2019 is measured and analyzed in depth by entropy method, TOPSIS method and coupling coordination model.The results show that the high-quality development of the coal industry has achieved significant achievement, but the industrial scale is obviously out of sync with the high-quality development level.The main motivation and "short board" of high-quality development of the coal industry is significantly different in different stages of development.The six dimensions of high-quality development of the coal industry have been improved to varying degrees during the research period, but the speed of green development and high-efficiency development is relatively low.The coupling and coordination degree of the six-dimensional development of the coal industry has steadily increased, but has not yet entered the stage of "high-quality coordinated development"and the level of coordinated development needs to be improved.

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