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, Available online , doi: 10.1007/s11769-022-1283-3
Abstract:
The construction of a livable environment for the elderly is an important measure to address the challenges of aging and improve their livelihood and well-being. Based on China’s national conditions and combined with the actual development needs of the cities, it is of great significance to explore the coupling and coordination characteristics and influencing factors within the livable environment system for the elderly for the coordination and stable development. This article was based on the three subsystems of ‘living service environment, socioeconomic environment and ecological livable environment’, following the research framework of ‘process-pattern-trend-impact’, constructs an evaluation index system for the livable environment for the elderly. Entropy weight-TOPSIS evaluation model, coupling coordination degree model, center of gravity and standard deviation ellipse model and the geographic detector model were used starting from the evolution of coupling coordination types to study the spatial and temporal pattern and dynamic trend characteristics and influencing factors of internal coupling coordination types in the livable environment system for the elderly from 2010 to 2019. The results showed that: 1) The coordinated development of life service environment system and ecological livable environment system (LE) and socioeconomic environment system and ecological livable environment system (SE) in the livable environment for the elderly decreased from the intermediate coordination level coordination areas to the low-level quality improvement and optimization areas: coordinated transition type. The overall development level of life service environment system and socioeconomic environment system (LS) was low, and it was always at a low level. 2) The coupling degree of livable environment system for the elderly was high, the coupling coordination type shown a gradually decreasing layer structure with Zhejiang, Beijing and Guangdong high-level leading demonstration areas as the axis belt. 3) The coupling coordination center of the elderly livable environment system was located in Henan, and the standard deviation ellipse was distributed in the northeast-southwest direction. The development center and the ellipse of the high-level leading demonstration areas and the intermediate coordination level areas were concentrated in the central and eastern regions, while the low-level coordination areas for improving quality and efficiency are mainly located in the western region. 4) Urban development, green facilities, infrastructure, government macroscopic regulation and control, economic stimulus, and housing construction were all important factors affecting the coordinated development of the livable environment system for the elderly, exerting a varying degree of effect on the level of coordinated development of various types of systems.
The construction of a livable environment for the elderly is an important measure to address the challenges of aging and improve their livelihood and well-being. Based on China’s national conditions and combined with the actual development needs of the cities, it is of great significance to explore the coupling and coordination characteristics and influencing factors within the livable environment system for the elderly for the coordination and stable development. This article was based on the three subsystems of ‘living service environment, socioeconomic environment and ecological livable environment’, following the research framework of ‘process-pattern-trend-impact’, constructs an evaluation index system for the livable environment for the elderly. Entropy weight-TOPSIS evaluation model, coupling coordination degree model, center of gravity and standard deviation ellipse model and the geographic detector model were used starting from the evolution of coupling coordination types to study the spatial and temporal pattern and dynamic trend characteristics and influencing factors of internal coupling coordination types in the livable environment system for the elderly from 2010 to 2019. The results showed that: 1) The coordinated development of life service environment system and ecological livable environment system (LE) and socioeconomic environment system and ecological livable environment system (SE) in the livable environment for the elderly decreased from the intermediate coordination level coordination areas to the low-level quality improvement and optimization areas: coordinated transition type. The overall development level of life service environment system and socioeconomic environment system (LS) was low, and it was always at a low level. 2) The coupling degree of livable environment system for the elderly was high, the coupling coordination type shown a gradually decreasing layer structure with Zhejiang, Beijing and Guangdong high-level leading demonstration areas as the axis belt. 3) The coupling coordination center of the elderly livable environment system was located in Henan, and the standard deviation ellipse was distributed in the northeast-southwest direction. The development center and the ellipse of the high-level leading demonstration areas and the intermediate coordination level areas were concentrated in the central and eastern regions, while the low-level coordination areas for improving quality and efficiency are mainly located in the western region. 4) Urban development, green facilities, infrastructure, government macroscopic regulation and control, economic stimulus, and housing construction were all important factors affecting the coordinated development of the livable environment system for the elderly, exerting a varying degree of effect on the level of coordinated development of various types of systems.
, Available online , doi: 10.1007/s11769-022-1310-4
Abstract:
For centuries, reclamation of sodic soils has been an essential part of cropping practices in several parts of the world. Parallel to increasing population, the need for new cropland constantly re-evaluates land suitability concepts. Therefore, the importance of sodic soils as potential croplands is increasing worldwide. Although theoretically farmers can choose from a wide variety of reclamation options, according to profitability, business plans, and human and financial resources, in practice, few reclamation methods are applied at large scale. This article touches on the early history, 20th Century intensive research, and current trends of sodic soil reclamation. New approaches such as leaching, chemical amendments, addition of organic material, and biological and microbial improvements are discussed, and also brand-new approaches are reviewed. The early history is reviewed using historical books, the achievements of the last hundred years using basic technical literature, mostly books, and the current approaches of our time with fresh publications, mostly papers and two very recent conferences published in English.
For centuries, reclamation of sodic soils has been an essential part of cropping practices in several parts of the world. Parallel to increasing population, the need for new cropland constantly re-evaluates land suitability concepts. Therefore, the importance of sodic soils as potential croplands is increasing worldwide. Although theoretically farmers can choose from a wide variety of reclamation options, according to profitability, business plans, and human and financial resources, in practice, few reclamation methods are applied at large scale. This article touches on the early history, 20th Century intensive research, and current trends of sodic soil reclamation. New approaches such as leaching, chemical amendments, addition of organic material, and biological and microbial improvements are discussed, and also brand-new approaches are reviewed. The early history is reviewed using historical books, the achievements of the last hundred years using basic technical literature, mostly books, and the current approaches of our time with fresh publications, mostly papers and two very recent conferences published in English.
, Available online , doi: 10.1007/s11769-022-1311-3
Abstract:
It is necessary to quantitatively study the relationship between climate and human factors on net primary productivity (NPP) inorder to understand the driving mechanism of NPP and prevent desertification. This study investigated the spatial and temporal differentiation features of actual net primary productivity (ANPP) in the Ili River Basin, a transboundary river between China and Kazakhstan, as well as the proportional contributions of climate and human causes to ANPP variation. Additionally, we analyzed the pixel-scale relationship between ANPP and significant climatic parameters. ANPP in the Ili River Basin increased from 2001 to 2020 and was lower in the northeast and higher in the southwest; furthermore, it was distributed in a ring around the Tianshan Mountains. In the vegetation improvement zone, human activities were the dominant driving force, whereas in the degraded zone, climate change was the primary major driving force. The correlation coefficients of ANPP with precipitation and temperature were 0.322 and 0.098, respectively. In most areas, there was a positive relationship between vegetation change, temperature and precipitation. During 2001 to 2020, the basin’s climatic change trend was warm and humid, which promoted vegetation growth. One of the driving factors in the vegetation improvement area was moderate grazing by livestock.
It is necessary to quantitatively study the relationship between climate and human factors on net primary productivity (NPP) inorder to understand the driving mechanism of NPP and prevent desertification. This study investigated the spatial and temporal differentiation features of actual net primary productivity (ANPP) in the Ili River Basin, a transboundary river between China and Kazakhstan, as well as the proportional contributions of climate and human causes to ANPP variation. Additionally, we analyzed the pixel-scale relationship between ANPP and significant climatic parameters. ANPP in the Ili River Basin increased from 2001 to 2020 and was lower in the northeast and higher in the southwest; furthermore, it was distributed in a ring around the Tianshan Mountains. In the vegetation improvement zone, human activities were the dominant driving force, whereas in the degraded zone, climate change was the primary major driving force. The correlation coefficients of ANPP with precipitation and temperature were 0.322 and 0.098, respectively. In most areas, there was a positive relationship between vegetation change, temperature and precipitation. During 2001 to 2020, the basin’s climatic change trend was warm and humid, which promoted vegetation growth. One of the driving factors in the vegetation improvement area was moderate grazing by livestock.
, Available online , doi: 10.1007/s11769-022-1309-x
Abstract:
Under the background of collaborative innovation, innovation spillovers at urban agglomeration (UA) level is an important issue but rarely discussed. Using balanced panel data of innovation activities in China’s five UAs from 2003 to 2016, this paper shows spatio-temporal evolution process of their technological innovation capacity with discussing polarization-diffusion patterns, and simultaneously examines driving factors of that evolution processes. We report three main findings: 1) there is a high degree of concentration in technological innovation capacity distribution within all China’s five UAs, linked by economic and innovation collaboration. 2) Innovation capacity increase of China’s five UAs is driven by government’s investment in science and technology (S&T) to a large extent, followed by influences of infrastructure facilities construction, human capital for S&T, as well as transformation of industrial structure, with great disparities emerged between UAs in our sample period. 3) While the intra-region innovation gaps are reducing in Yangtze River Delta Urban Agglomeration (YRD) with obvious innovation diffusion, urban agglomeration in middle reaches of the Yangtze River (MYR) is still dominated by innovation polarized growth. Differences in polarization-diffusion patterns between these two UAs may be explained by opposite returns of industrial structure and internet infrastructure. Our findings contribute to more effective policy making in promoting innovation development when reducing regional inequality through innovation diffusion.
Under the background of collaborative innovation, innovation spillovers at urban agglomeration (UA) level is an important issue but rarely discussed. Using balanced panel data of innovation activities in China’s five UAs from 2003 to 2016, this paper shows spatio-temporal evolution process of their technological innovation capacity with discussing polarization-diffusion patterns, and simultaneously examines driving factors of that evolution processes. We report three main findings: 1) there is a high degree of concentration in technological innovation capacity distribution within all China’s five UAs, linked by economic and innovation collaboration. 2) Innovation capacity increase of China’s five UAs is driven by government’s investment in science and technology (S&T) to a large extent, followed by influences of infrastructure facilities construction, human capital for S&T, as well as transformation of industrial structure, with great disparities emerged between UAs in our sample period. 3) While the intra-region innovation gaps are reducing in Yangtze River Delta Urban Agglomeration (YRD) with obvious innovation diffusion, urban agglomeration in middle reaches of the Yangtze River (MYR) is still dominated by innovation polarized growth. Differences in polarization-diffusion patterns between these two UAs may be explained by opposite returns of industrial structure and internet infrastructure. Our findings contribute to more effective policy making in promoting innovation development when reducing regional inequality through innovation diffusion.
, Available online , doi: 10.1007/s11769-022-1312-2
Abstract:
In order to investigate the evolutionary characteristics of rural functions and their interaction, 37 districts and counties in Chongqing, China are used as research objects to measure the level of rural functions and analyze the interaction between rural functions using entropy value method and spatial autocorrelation method. The results show that from 2009 to 2019, the three main functions of production, living and ecology in Chongqing’s villages have been greatly enhanced, especially the production function. On the whole, the production and living functions are stronger in the western part, while the ecological functions are significant in the eastern and southern parts of Chongqing, with some differences in local spatial characteristics. This finding is consistent with the regional economic and social development of Chongqing. In addition, the interaction between rural functions is also evident. In general, production and living functions are mainly expressed in synergistic relationships. Ecological and production functions, including ecological and subsistence functions, mainly present a trade-off relationship. The interactions between rural functions also show clear spatial and temporal differences. In addition, different regions have different comparative advantage functions, and in this study, the counties of Chongqing are classified into four types. Policy makers are advised to adopt different measures according to the different types to promote sustainable rural development by coordinating the ‘production-living-ecological’ functions of rural areas. This study reveals the spatio-temporal evolution of rural functions and the interaction between rural functions, which can provide theoretical support and practical reference for rural revitalisation and sustainable development.
In order to investigate the evolutionary characteristics of rural functions and their interaction, 37 districts and counties in Chongqing, China are used as research objects to measure the level of rural functions and analyze the interaction between rural functions using entropy value method and spatial autocorrelation method. The results show that from 2009 to 2019, the three main functions of production, living and ecology in Chongqing’s villages have been greatly enhanced, especially the production function. On the whole, the production and living functions are stronger in the western part, while the ecological functions are significant in the eastern and southern parts of Chongqing, with some differences in local spatial characteristics. This finding is consistent with the regional economic and social development of Chongqing. In addition, the interaction between rural functions is also evident. In general, production and living functions are mainly expressed in synergistic relationships. Ecological and production functions, including ecological and subsistence functions, mainly present a trade-off relationship. The interactions between rural functions also show clear spatial and temporal differences. In addition, different regions have different comparative advantage functions, and in this study, the counties of Chongqing are classified into four types. Policy makers are advised to adopt different measures according to the different types to promote sustainable rural development by coordinating the ‘production-living-ecological’ functions of rural areas. This study reveals the spatio-temporal evolution of rural functions and the interaction between rural functions, which can provide theoretical support and practical reference for rural revitalisation and sustainable development.
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