Top Read Articles

    Published in last 1 year |  In last 2 years |  In last 3 years |  All
    Please wait a minute...
    For Selected: Toggle Thumbnails
    Regional Economic Resilience and Influential Mechanism During Economic Crises in China
    Tan Juntao, Zhao Hongbo, Liu Wenxin, Zhang Pingyu, Qiu Fangdao
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 173-181.   doi: 10.13249/j.cnki.sgs.2020.02.002
    Abstract598)   HTML39)    PDF (591KB)(392)      

    This article quantitatively analyzes the economic resilience of 31 provinces of China in terms of resistance and recoverability during two economic crises: the Asian financial crisis in 1997 and the global financial crisis in 2008. Moreover, it analyzes the main factors that affected regional resilience. There are three main findings. Firstly, in the first economic cycle, the economic resistance in western region was relatively high, and the central region was low; the provinces with high economic recoverability were mainly concentrated in the central region, while those in the eastern and western regions were lower, with economic resistance and recoverability showing a certain negative correlation. All regions in second economic cycle demonstrated well resistance; those with low economic resistance were mainly located in the eastern coastal areas and along the Yangtze River Economic Belt. Thirdly, the secondary industry was stronger than the tertiary industry in terms of economic resilience during the first economic cycle, while the situation was different in the second economic cycle. Finally, the influential factors affecting economic resilience varied across the two economic cycles; location advantage, per capita fixed asset investment and per capita GDP had strong explanatory power on economic resilience, but the direction of action in the two economic cycles was different.

    Table and Figures | Reference | Related Articles | Metrics
    Cited: CSCD(1)
    The Evolution Mode of China’s HSR-air Competitive Network and Its Driving Factors
    Wang Jiao’e, Jing Yue, Yang Haoran
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (5): 675-684.   doi: 10.13249/j.cnki.sgs.2020.05.001
    Abstract597)   HTML90)    PDF (1281KB)(457)      

    With the rapid parallel development of high-speed rail and air transportation, the HSR-air competitive network has undergone great changes. Using the data of city pairs with both air and HSR service in the period of 2007-2015, this article explores the evolution of spatio-temporal pattern of HSR-Air competitive network at the national scale, and then reveals its expansion mode as well as the main driving factors. The results are as following: 1) The HSR-air competitive network grows rapidly in size. Spatially, while a tendency of expanding westward and southward is manifested, the overlapping market of 2 transportation modes still focuses on the eastern coastal region. 2) The city-pairs with potential HSR-Air competition are inclined to link the top city nodes, and the HSR-air competitive network presents a hierarchical structure with Beijing and Shanghai as centers. 3) The overlapping market of HSR and air transportation expands from city-pairs with medium distance to long distance. HSR dominates city-pairs with distance below 700 km and has relative advantage in the range of 700 to 1 000 km compared to air transportation. While air transportation dominates city-pairs with distance over 1 500 km. The competition between HSR and air transportation intensifies in the range of 1 000-1 500 km. 4) The HSR-air competitive network has shown a “core-core” pattern in the early period and then grows to a “core-periphery” pattern later. City size, urban function as well as geographical proximity are main factors for shaping the HSR-air overlapping network.

    Table and Figures | Reference | Related Articles | Metrics
    Spatio-temporal Variation Features of Air Quality in China
    Zhang Xiangmin, Luo Shen, Li Xingming, Li Zhuofan, Fan Yong, Sun Jianwu
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 190-199.   doi: 10.13249/j.cnki.sgs.2020.02.004
    Abstract562)   HTML31)    PDF (6336KB)(338)      

    Cross-regional air pollution control is an urgent problem in ecological civilization construction. Based on the daily air quality index (AQI) data of 343 districts in China in 2015, used the statistical analysis and spatial autocorrelation analysis method, the temporal and spatial distribution features of air quality in China and nine regions of the terrestrial surface system was analyzed. The results show that: 1) The seasonal mean values of AQI in the whole country and nine major regions show the air quality is worse in spring, is excellent in summer and autumn, and falls to its worst in winter. Meanwhile, the seasonal mean values of AQI show a “U” shape. 2) The monthly mean values of AQI in the whole country and nine major regions show a “L” shape. 3) The daily mean values of AQI in the whole country and nine major regions show a periodic W-pulse fluctuation pattern. 4) The “hot spot” and “cold spot” regions demonstrate the differential pattern of being high and hot in the North and being low and cold in the South. 5) The frequency structure of the primary pollutant in the nine regions is significantly diversified, and the highest frequency of the primary pollutant PM2.5 or PM10 has a clear differential pattern between the East and the West.

    Table and Figures | Reference | Related Articles | Metrics
    Analysis of Spatial Economic Structure of Northeast China Cities Based on Points of Interest Big Data
    Xue Bing, Xiao Xiao, Li Jingzhong, Xie Xiao
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (5): 691-700.   doi: 10.13249/j.cnki.sgs.2020.05.003
    Abstract466)   HTML73)    PDF (11136KB)(320)      

    Urban spatial structure is the form of interaction among the urban human-land relationship elements. Taking the Northeast 36 cities as the research area, using the more than 4 million Points of Interest (POI) grouped by industry types, the article used the kernel density estimation method, the diversity index method and the standard deviational ellipse method to analyze the urban spatial structure and the agglomeration characteristics of the various industries. This research found that the urban structure of Northeast China is mainly characterized by concentrated mass, dispersed combination, linear and radial types. Some cities have diversified spatial structure. The second industry and real estate industry in Northeast China show the characteristics of suburbanization, the development direction of each industry is consistent with the economic axis of the Northeast region, and most industries have not yet formed a specialized functional area; The centrifugal development of secondary industry and real estate industry is not strong for the shaping of concentrated block cities, but it contributes greatly to the spatial structure of dispersed group cities. Linear cities usually have a multi-center composite characteristics, the various industries of radial city are still biased towards centripetal aggregation. This research deepens the empirical researches of the big data-driven urban spatial structure as well as industry spatial pattern, and also provides scientific cognitive basis for the rational planning of urban space and the coordinated sustainable development in Northeast China during the revitalization period.

    Table and Figures | Reference | Related Articles | Metrics
    Threshold Effect of Regional Collaborative Innovation on Innovation Performance
    Fan Fei, Lian Huan, Wang Xueli, Wang Song
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 165-172.   doi: 10.13249/j.cnki.sgs.2020.02.001
    Abstract448)   HTML25)    PDF (503KB)(240)      

    Innovation is the main driving force for regional coordinated development, sustainable development and high-quality development. Collaborative innovation, as an important form of integration of innovation factors, is conducive to increasing the mobility of factors within the region, and reasonable allocation of innovative elements, which will improve regional innovation performance. Based on the improved DEA model to measure/evaluate the innovation performance of 62 major cities in China (not including the urban data of Hong Kong, Macao and Taiwan due to data limitation) in 2003-2016, this article takes the impact(s) of regional innovation cooperation and inter-regional innovation resource flow on regional innovation performance as the starting point and uses the threshold regression model to comprehensively analyze the impact mechanism of collaborative innovation on regional innovation performance under different economic development levels. The results show that: 1) Through the analysis of the innovation performance of each city, it is found that the overall innovation performance of 62 major cities in the study period presented an increasing trend with fluctuations. The average innovation performance value increased from 0.624 in 2003 to 0.684 in 2016, and regional innovation performance had a large spatial variation. From the perspective of the four major sectors in the country, the average level of innovation performance of major cities in the eastern and northeastern regions was higher than the national average. The average innovation performance of major cities in the central and western regions was lower than the national average at the end of the study. 2) Collaborative innovation had a certain promotion effect on the improvement of regional innovation performance. There was a nonlinear relationship between the four core explanatory variables and innovation performance in this article. The impact of patent cooperation on regional innovation performance was a positive double threshold, when the level of economic development was below the first threshold of 10.441. The number of patent cooperation had the greatest impact on regional innovation performance, and its elasticity coefficient was 0.039. The number of scientific paper cooperation had a positive single threshold for regional innovation performance. The impact on regional innovation performance has shown a downward trend with varying degrees of economic development. 3) The flow of scientific and technological personnel and the flow of scientific and technological capital were different under different economic development levels, and the degree and direction of innovation performance were different. The flow of scientific and technological personnel had the most obvious effect on the innovation performance when it crosses the first threshold of economic development level of 10.088 and below the second threshold of 10.255, while the impact of scientific and technological capital flow on innovation performance was most significant when the economic development level was below the first threshold of 9.427. To improve China’s innovation performance level, in addition to focusing on optimizing the allocation of innovation resources within the city, we should also consider collaborative innovation for the region in terms of innovation factor flow and regional innovation cooperation in the process of formulating urban innovation performance policies and technology resource management, of influencing the impact of innovation performance, and formulating different collaborative innovation to promote regional innovation performance strategies under different economic development levels.

    Table and Figures | Reference | Related Articles | Metrics
    The Returning-migrant-induced Urbanization: The New Path of Urbanization in Middle China
    Luo Xiaolong, Cao Shujun, Gu Zongni
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (5): 685-690.   doi: 10.13249/j.cnki.sgs.2020.05.002
    Abstract393)   HTML54)    PDF (388KB)(271)      

    Based on the research on population spatial diffusion and its variation in migration, this study proposes that a new path of urbanization in central area of China is emerging, namely returning-migrant-induced urbanization (RMIU). Through conducting an intensive questionnaire survey and a lot of interviews in several cities in Middle China, as well as comparing with urbanization pathways in the coastal China, we conclude 3 new characteristics of the RMIU. First, the county-level central cities have become the main attractive places for hosting returning migrants, where is the first choice for a large share of returning migrants. This is due to abundant job opportunities, good public service, better education resources, good living condition and lower living expenses. Unlike their elder generation returning from coastal areas who become peasants again, the new returning generation is still working in non-agricultural fields, both in manufacturing industries and tertiary sector. Second, many “pendular populations” are existing in counties and county-level cities, which means people working in cities, but living in countryside. Therefore, this is a centripetal urbanization featured as the strong county proper, which is much different from urbanization process in coastal China, such as exo-urbanization, urbanization from below, peri-urbanization, in situ urbanization. Third, the prefectural cities are also an important option for returning migrants for living and working, especially for those people with better economic condition. RMIU is a new phenomenon recently occurring in middle China, which is totally different from urbanization pathways in eastern China. Regarding the driving forces behind the process of RMIU, the shift of manufacturing industries from developed coastal areas to middle China is a main contributor, which creating a lot of job opportunities for returning people. With such shift, many floating persons who once worked in coastal cities are returning their hometown or nearby cities for living and working. The kinship social network facilities such trend of migrant return, as they must solve their problems of kids’ education and the eldly care. So, economic factors are not the very important force underlying the current wave of returning migrants. In addition, some of them start up business in their hometowns, with market experiences and skills getting from the coastal China. This induces the endogenous development in Middle China. Finally, some policy implementations are highlighted, including rural revitalization, urbanization policy and urban transition.

    Table and Figures | Reference | Related Articles | Metrics
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (4): 497-497.  
    Abstract390)   HTML47)    PDF (192KB)(402)      
    Reference | Related Articles | Metrics
    Spatial Aggregation Characteristics and Influencing Factors of Taobao Village Based on Grid in China
    Wang Fan, Wang Mingfeng
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 229-237.   doi: 10.13249/j.cnki.sgs.2020.02.008
    Abstract388)   HTML26)    PDF (1931KB)(226)      

    With the digital economy growing, the Taobao village is playing a more and more significant role in stimulating rural employment and entrepreneurship. Actually, the e-commerce of Taobao villages increase income of farmers, narrow the gap and promote the integration between urban and rural areas. In recent years, the e-commerce is developing rapidly in rural areas in China, and the agglomeration characteristics of e-commerce development of Taobao villages has been observed in rural areas. Rural equipped with internet has opened up a new way to achieve revitalization. Based on the data of Taobao village during 2013-2018, this paper analyzes the development status and agglomeration characteristics of Taobao village, and explores the influencing factors of Taobao village from the national level. Results show that: 1) Taobao village grew rapidly during the study period, spreading from eastern regions to whole of China. There were 3202 Taobao village which was benefited from the development of e-commerce. Taobao villages in the eastern coastal area have expanded rapidly, accounting for 96% of the total in China. The central and western rural areas also began to enter the online business sector. Relatively, development rates of the central and western regions are small and slow. At the same time, Taobao village showed a rapid expansion but also began to eliminate partially. Areas with large eliminations are also in the east, accounting for more than 95% of the total. Before 2015, the center and direction of Taobao village distribution changed greatly. Then, the distribution direction of Taobao village tends to be stable, showing a north-south trend. 2) Before 2015, the distribution of Taobao village was random, and its Moran’ index of Taobao village failed to pass the significance test. With the growth of e-business, Taobao village began to show agglomeration characteristics, and formed two H-H clusters in the Yangtze River Delta and Pearl River Delta. The high-growth area of Taobao village has a tendency to be fixed in the region, located in the east and south of China. 3) Agglomeration effects, government policies, information and communication technologies and population were the main factors, which affected the growth of Taobao village. Conversely, the relationship between GDP and Taobao village was negative. The high GDP area might be not the big number region of Taobao village and the coefficient of the road was not significant.

    Table and Figures | Reference | Related Articles | Metrics
    Cross-regional Travel and Regional System of Rural China
    Zhao Pengjun, Yu Zhao, Jia Yutian
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (4): 498-508.   doi: 10.13249/j.cnki.sgs.2020.04.001
    Abstract386)   HTML41)    PDF (1087KB)(295)      

    This article examines the cross-regional travel characteristics and the determinants of township and rural residents in 119 rural towns of China, employing 2016 National Town Research Data. A multilevel mixed-effects ordered logistic regression model was applied to examine the effects of individual socioeconomic factors, public facilities provision level of townships, location and traffic conditions on the frequency of traveling afield of rural residents. It concludes that: Firstly, a ‘county-township-village’ rural-urban area system has formed with main connection between villages and townships, while the ‘county-to-village’ and ‘county-to-town’ linkages could not be neglected. Secondly, county-level services and goods are playing an important role in rural residents’ life. Thirdly, there are differences of travel frequency of rural residents within different regions and topographic areas: rural people travels more frequently in the east coast regions and the metropolitan areas in the west of China than that in the midland, and the townships and villages in the plain and hilly area show stronger rural-urban linkages than that in the mountainous regions. Fourthly, disadvantage group such as the elderly, women, low-income earners, non-car owners and poorly educated group, show their travel disadvantage in term of cross-regional travel frequencies. Fifthly, with the basic accessibility of ‘road to every village’, location and transport infrastructure conditions are not the main factors, while multi-purpose travel demands of rural residents, the availability of traffic vehicles (both public and private) and higher income encourage rural and township residents to travel afield towards higher-order centres. It suggests that the emphasis of rural transport policies should shift from rural road improvement toward higher quality of public transport in terms of services and accessible site layouts, and higher availability of modernized traffic vehicles in rural area. Finally, on the other hand, higher provision level of commercial and public facilities within townships significantly urges rural people to travel locally, and ensures rural people access basic demands with limited travel time and less cross-regional travel burdens. This paper aims at further recognition of rural-urban regional system by identify the residents-based rural-urban travel linkages, as a basis for making specific urban-rural traffic policies and implementing people-oriented and demand-oriented urban-rural planning.

    Table and Figures | Reference | Related Articles | Metrics
    The Effects of the “Grain for Green” Project on Gross Primary Productivity in the Loess Plateau
    You Nanshan, Dong Jinwei, Xiao Tong, Liu Jiyuan, Xiao Xiangming
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 315-323.   doi: 10.13249/j.cnki.sgs.2020.02.017
    Abstract379)   HTML14)    PDF (22154KB)(257)      

    The vegetation coverage and carbon sequestration have been reported experiencing a significant increase since the implementation of the “Grain for Green” (GFG) project in the Loess Plateau (LP). However, the assessment of the effects of the project on ecosystem is not timely and accurate due to the limit of data availability. Using the newest land use dataset (2000 and 2015) interpreted by Landsat and the Gross Primary Productivity (GPP) data from 2000 to 2016 based on the Vegetation Photosynthesis Model (VPM), we examined the spatiotemporal pattern of land use changes due to the GTG project and estimates the inter-annual trend of GPP. A systematic comparison of the inter-annual variations of GPP was conducted among the GFG areas and the unconverted cropland areas (CRO), to reveal the effects of the GFG project. The results showed that an area of 3.5×10 4km 2 croplands was converted into grasslands and forests. The annual GPP showed a significant increasing trend from 2000 to 2016 for the whole plateau with averaged increasing rate of 24.1 g/(m 2?a), and the area with a significant increasing trend of annual GPP accounted for 67.29% of the whole plateau. Although the multi-year averaged annual GPP in the GFG areas was lower than that in the CRO due to the relatively young ages, the increasing rate of annual GPP in the GFG areas was 5.9 g/(m 2?a) higher than that in the CRO. The relative change ratio of annual GPP showed the same situation, the relative change ratio in GFG areas was 1.5% higher than that in the CRO. The GFG project accelerated the increasing of GPP in GFG areas, and then promoted the rising trend in the whole LP. This study provided an updated and more accurate analysis on the pattern of land use change and its effects on GPP dynamics in the Loess Plateau, which could contribute to the effectiveness assessment of the GFG project, future planning of the project, and decision making for the sustainable development of the eco-socio-economic coupling system in the plateau.

    Table and Figures | Reference | Related Articles | Metrics
    Cited: CSCD(1)
    Towards Rural-urban Integration: Key Issues and Trends on Linking New-type Urbanization to Rural Revitalization
    Ye Chao, Yu Jie
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (4): 528-534.   doi: 10.13249/j.cnki.sgs.2020.04.004
    Abstract376)   HTML26)    PDF (425KB)(228)      

    It is the key to achieving the aim of rural-urban integration that combine the two national strategies of new-type urbanization and rural revitalization, and carry out collaborative governance of urban and rural areas. By analyzing the progresses of the studies on the new-type urbanization and rural revitalization, it is pointed out that the coupling of new-type urbanization and rural revitalization strategy should clarify the symbiosis effect of two strategies, and scientifically evaluate the coupling degree of urban and rural areas, then discover the spatio-temporal pattern of rural-urban integration. In order to realize rural-urban integration, it is necessary to explore the combination and spatio-temporal differences of new-type urbanization and rural revitalization strategies. According to conducting interdisciplinary methods to study the relations among the urban and rural administrative management system, the land system, the household registration system as well as the social security system, this article advocates multidimensional system reform from three perspectives of space, economy and society. Reconstructing the theory of rural-urban integration will be based on a whole analysis from the national, provincial, city to community scales. Community-centered governance is significant for rural-urban integration.

    Table and Figures | Reference | Related Articles | Metrics
    Spatial Pattern Change and Influencing Factors of China’s Industrial Eco-efficiency
    Zhang Xinlin, Qiu Fangdao, Tan Juntao, Wang Changjian
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (3): 335-343.   doi: 10.13249/j.cnki.sgs.2020.03.001
    Abstract372)   HTML37)    PDF (538KB)(258)      

    Industrial added value of China has been the largest in the world, and industrial sectors consumed a lot of energy and resources, which led to the destruction of the ecological environment. Thus, improving the industrial eco-efficiency is the important measure to realize the sustainable development. Eco-efficiency was first applied to measuring the environment performance of economic activities. The core connotation of eco-efficiency is to maximize economic benefits while minimizing environmental pollution and resources consumption, and the ultimate goal is to achieve sustainable development. Ecological efficiency has become an important tool for analyzing the impact of economic activities on the environment. This article takes different province as the research object and measures the industrial eco-efficiency with the aid of data envelopment analysis. Different spatial weight matrixes were constructed, and then the spatial evolution was analyzed by spatial autocorrelation analysis. On the basis of the optimal spatial weight matrix, spatial Durbin model was used to analyze the direct effect, space spillover effect, total effect of different influencing factors. Some conclusions were drawn as follows. The average value of the industrial eco-efficiency showed an obvious fluctuation trend during 2000-2015, and the absolute difference showed the similar trend, and the relative difference presented an “N” type change trend. The spatial distribution of the industrial eco-efficiency was characterized by “high in the southeast and low in the northwest”. The mean industrial eco-efficiency of Beijing and Shanghai was the highest, while the mean industrial eco-efficiency of Ningxia was the lowest. The spatial correlation feature of the industrial ecological efficiency was more accurately reflected under the comprehensive weight matrix combining geography and economy. The phenomenon of high and low clustering space club was also obvious. The overall effect of economic development, scientific and technological innovation and fiscal decentralization was positive, and showed that these 3 factors were the important driving force for promoting the improvement of overall regional industrial eco-efficiency, while the opening up had a negative impact on the improvement of industrial eco-efficiency. The direct effect value of fiscal decentralization was the highest, and opening to the outside world and fixed assets were the main factors to restrain the improvement of regional industrial eco-efficiency. Scientific and technological innovation and fiscal decentralization had positive spillover effect. Industrial agglomeration and opening to the outside world have negative spillover effects. On the basis of our study, we can find that industrial ecological efficiency had a spatial spillover effect, which was not only affected by various influencing factors in its region, but also affected by other regional influencing factors. Therefore, when formulating relevant countermeasures and suggestions, not only the regional influencing factors should be reasonably planned, but also the influence of different influencing factors in other regions should be taken into account.

    Table and Figures | Reference | Related Articles | Metrics
    Spatial Difference and Influencing Factors of Floating Population’s Settlement Intention in the Three Provinces of Northeast China
    Gu Hengyu, Li Qiting, Shen Tiyan
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 261-269.   doi: 10.13249/j.cnki.sgs.2020.02.011
    Abstract363)   HTML19)    PDF (1025KB)(186)      

    In recent years, the three provinces of Northeast China (Liaoning, Heilongjiang, and Jilin) have suffered from economic decline and labor force loss. Supported by the China migrants dynamic survey in 2015, the present study aims to examine the spatial pattern and driving forces of the settlement intention of the floating migrants in the three provinces of Northeast China. Spatial autocorrelation analysis and trend analysis methods are applied to characterize the spatial pattern of the settlement intention at the city level, and a binary logistic model is constructed to detect the drivers of the settlement intention at the micro-level. According to the aboveanalyses, the main findings of our research are as follows: 1) The spatial distribution of the settlement intention of the floating population in three northeastern provinces presents a characteristic of “higher in the north and lower in the south”. Besides, the settlement intention has a more significant spatial variation in the north-south direction, yet the spatial variation degree is weaker in the east-west direction. 2) The spatial autocorrelation is insignificant in the spatial pattern of floating migrants’ settlement intention in the three provinces of Northeast China. Qiqihar City and Heihe City are detected as the High-Low cluster areas, while Haerbin City is detected as the High-High cluster area. With the increase in the size of cities, the settlement intention of the floating population shows the trend of first rising and then declining. From the perspective of the city level, the settlement intention of the floating population in sub-provincial cities is higher than that of ordinary prefecture-level cities in the three provinces of Northeast China. 3) Individual, economic, and social factors show significant effects on the settlement intention of floating migrants in the three provinces of Northeast China. In terms of individual factors, the model results indicate that migrants with agricultural hukou, migrants who are married, highly educated migrants, and ‘80s’ migrants have a stronger willingness to stay in destination cities. 4) For economic factors, income level has a significantly positive relationship with the settlement intention of the floating population, while housing expenditure has a negative effect. 5) Considering social factors, the results show that migrants with longer duration of staying, migrants whose occupation categories are professional or technical personnel and business service personnel, migrants whose employment status is the employer, and migrants participating in urban employee medical insurance have a stronger settlement intention.

    Table and Figures | Reference | Related Articles | Metrics
    Performance Evaluation and Driving Mechanism of Green Development in Shandong Province Based on Panel Data of 17 Cities
    Guo Fuyou, Lyu Xiao, Yu Wei, Ren Jiamin, Chu Nanchen
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 200-210.   doi: 10.13249/j.cnki.sgs.2020.02.005
    Abstract363)   HTML26)    PDF (2241KB)(216)      

    This paper comprehensively constructs the performance evaluation index system of green development, and analyzes its spatial-temporal pattern and driving mechanism of 17 cities in Shandong Province by using a variety of measurement methods. The results show that: 1) The "top-down" commanding characteristics of green development in Shandong are more prominent, and its development depends on the scale expansion and total growth of economic, and neglects the optimization and promotion of industrial structure and the lateral transfer feedback effect of economic factors; 2) The level of green development in Shandong is increasing, and the characteristics of club convergence are more prominent. But its low growth rate with 1.77% shows that the process of light and clear industry is slow, and the way of improving the green development quality is long and arduous; 3) The green development of Shandong has experienced an obvious process of spatial dependence. And there is obvious spatial differentiation in the green development, and the trend of polarization is obvious; 4) Spatial weighted regression models with spatial effects are more explanatory, and the per capita GDP, the number of R&D personnel and the investment of per capita fixed assets have a positive effect on the improvement of the green development. The second industrial added value / third industrial added value has negative correlation to the regression coefficient of green development, and the actual utilization of foreign capital has positive negative effect on the regression coefficient of green development.

    Table and Figures | Reference | Related Articles | Metrics
    The Evolution of China's Population Aging Spatial Pattern and Its Driving Factors
    Wu Yuanyuan, Song Yuxiang
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (5): 768-775.   doi: 10.13249/j.cnki.sgs.2020.05.011
    Abstract363)   HTML49)    PDF (963KB)(293)      

    Based on the fifth and sixth Population Census data, this paper uses Exploratory Data Analysis (ESDA) and spatial econometric model to analyze the spatial pattern evolution characteristics and driving factors of China's prefecture population aging. The conclusions are as follows: 1) The Hu Line is a significant dividing line of the overall pattern of China's population aging rate between the east-high and low-west. The regions with a high population aging rate in China are located to the east of the Hu Line, and the lower regions are located to the west of the Hu Line. As the aging population continues to increase, the spatial pattern of the initial population aging from the west to the east gradually changed. 2) China's population aging has a strong spatial positive correlation, showing the spatial distribution characteristics of high-high and low-low similarity aggregation. The high-high agglomeration areas are mainly distributed in the Yangtze River Delta, Sichuan Province and Chongqing, Shandong Peninsula, Middle and South Liaoning Province, etc. The low-low agglomeration areas are mainly distributed in northwestern China, southwestern China, western China, and some prefecture-level cities of the Pearl River Delta. This positive spatial agglomeration has weakened over the past 10 years. 3)The spatial pattern of China's population aging is influenced by population factors and social and economic factors. Among them, the birth rate, mortality rate, education level and population density factors are significant, while the first three factors are always the determinants of population aging. Therefore the demographic factors are the direct factors affecting the evolution of the spatial pattern of China's population aging and the imbalance factors of social and economic development are the root cause. To this end, the recommendations on population aging are proposed from the aspects of population factors and social and economic factors.

    Table and Figures | Reference | Related Articles | Metrics
    The Theoretical Cognition of Rural Settlements Spatial Restructuring
    Tu Shuangshuang, Long Hualou
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (4): 509-517.   doi: 10.13249/j.cnki.sgs.2020.04.002
    Abstract337)   HTML30)    PDF (812KB)(268)      

    During the process of rapid urbanization, the space of traditional rural settlements in China is facing severe differentiation and reorganization. Based on elaborating the concept and connotation, this paper constructed the analytical framework of the mechanism of rural settlements spatial restructuring at both macro and micro levels as well as object and subject systems, and probed the enlightenment of rural settlements spatial restructuring to promote rural vitalization. The major contents and results were summed up as follows: 1) Rural settlements spatial restructuring is a process of coordinating the man-land interrelation through adjusting rural settlements spatial hierarchy and allocating land resource in the village by the economic, technological and policy means at the background of the changes of urban and rural development factors. It has the characteristics of multi-dimensionality of restructuring content, diversity of restructuring objectives and complexity of restructuring process. 2) Rural settlements spatial restructuring reflects the changes of macro-environment such as the mode of production, economic structure, social structure, institutional evolution and technological development in modern society, and is rooted in the constrained framework of the natural-economic-social object system in rural territory, which condenses the game, confrontation, competition and cooperation among the stakeholders. 3) During the process of restructuring rural settlements space, we should correctly handle the population-land-industry relationship, pay full attention to the cultural and ecological value of rural settlements, and give full play to the supporting role of planning technology and policy system to promote the overall vitalization of rural territory in the new era.

    Table and Figures | Reference | Related Articles | Metrics
    Spatial-temporal Pattern and Influencing Factors of Factor Market Distortion in China
    Sun Xiangxiang, Zhou Xiaoliang
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 182-189.   doi: 10.13249/j.cnki.sgs.2020.02.003
    Abstract337)   HTML24)    PDF (628KB)(157)      

    Compared with the product market, the distortion of factor market is serious. The factor market distortion is calculated in 30 provinces of China by using the transcendental logarithmic function during the period of 2000-2015. This study further analyzes the spatial-temporal characteristics and influencing factors of factor market distortion based on the spatial econometric model. The results indicate that: 1) There are serious distortion in China's factor market from 2001 to 2015, and the factor market distortion has been greatly improved in recent decades. From the geographical distribution point of view, the areas with high factor market distortion are concentrated in the western region, the areas with medium factor market distortions are in the central region, and the areas with low factor market distortions are distributed in the eastern region and the northeastern region. China's factor market distortion shows the characteristics of regional agglomeration. 2) The factor market distortion has significant spatial autocorrelation, that is, the factor market distortion in a region is significantly affected by adjacent regions. Specifically, the Moran Index shows a trend of decreasing volatility. With the acceleration of market-oriented reform, the agglomeration effect of adjacent areas with factor market distortion is weakened. 3) The analysis of influencing factors affecting the factor market distortion based on Spatial Durbin Model shows that urbanization, fiscal decentralization, foreign direct investment and infrastructure have improved factor market distortion, while and the development of state-owned economy have negative impact on factor market distortion. The results of this study provide important theoretical support for deepening the reform of factor market and improving the efficiency of factor resource allocation.

    Table and Figures | Reference | Related Articles | Metrics
    Effect of Rainstorms on Vegetation Activities in Eastern Coastal Area of China
    Li Jianguo, Yuan Fengwei, Zhao Yanqing, Liu Lili
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 324-334.   doi: 10.13249/j.cnki.sgs.2020.02.018
    Abstract322)   HTML23)    PDF (1146KB)(269)      

    Within the context of global climate change, rainstorm has become one of the important factors restricting plant growth. In this study, the NDVI and meteorological dataset (GIMMS-NDVI and daily precipitation, temperature and radiation) in eastern China from 1982 to 2015 have been obtained to explore the relationships between rainstorm frequency anomaly and NDVI changes. The results show that rainstorm frequency of the study area varies from 0 to 13 times per year during the study period, with a mean value of 2 times per year. In addition, summer rainstorm frequency tends to increase gradually. The mean of NDVI values in the study area is 0.54, which show a clear spatial pattern. Furthermore, the NDVI values in the southern part of study area are generally higher than that in the northern part. However, the slope of NDVI values of the whole region show a rising trend, with an increase of 0.002/10a. The mean of partial correlation coefficients and multiple regression coefficients between rainstorm frequency anomaly and the NDVI variations are -0.02 and -0.01 respectively, representing that rainstorms have a significant negative effect on vegetation activities. In general, the NDVI in the study area will decrease by 0.01% with an increase of 1% of rainstorm frequency. Spatially, the significantly negative effect of rainstorms has been found in northern Jiangsu and Shandong Provinces. However, in Hebei, Guangdong and northern Guangxi Provinces, a significantly positive effect of rainstorm has been observed.

    Table and Figures | Reference | Related Articles | Metrics
    Evolution of Urban Tourism Flow Network Structure Based on Network Travel Notes: A Case Study of Beijing City
    Zhou Li, Wu Dianting, Yu Hu, Wang Yongming, Ma Teng, Hu Can
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 298-307.   doi: 10.13249/j.cnki.sgs.2020.02.015
    Abstract318)   HTML14)    PDF (983KB)(228)      

    Studying the law of urban tourism flow is an important scientific problem to be solved first in the utilization and optimization of urban recreational space. Based on the text of network travel notes, this article combines the crawler technology and social network analysis method, obtains the data of tourist flow in Beijing during the 12th Five-Year Plan and 13th Five-Year Plan, and analyses the evolution characteristics of urban tourist flow network structure. 1) The overall density of Beijing's tourism flow network is low, the network structure is increasing unevenly, and the tourism flow network is obviously controlled by the core tourism nodes. 2) The structure of Beijing's tourism flow network is characterized by central agglomeration and hierarchy. The traditional recreational sites such as Tiananmen, the Forbidden City, the Summer Palace and the Badaling Great Wall are still the core tourist nodes of Beijing's tourism flow, and the scale and energy level of the peripheral tourist nodes are greatly improved. 3) The unbalance of tourism flow nodes in different directions of urban development is aggravating, which is greatly influenced by the distribution of urban historical and cultural heritage, and the agglomeration ability of emerging tourism attractions is relatively weak. 4) The rapid development of urban rail transit is reshaping the spatial pattern of urban tourism flow. The demand for new cultural space such as Olympic Sports Center, 798 Art District and Sanlitun is increasing, which makes it develop towards multi-node and multi-region.

    Table and Figures | Reference | Related Articles | Metrics
    The Impact of High Speed Railway on Urban Network Structure in Northeast China
    Liu Shuzhou, Han Zenglin, Guo Jianke
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 270-279.   doi: 10.13249/j.cnki.sgs.2020.02.012
    Abstract306)   HTML25)    PDF (1777KB)(173)      

    Transport infrastructure has always been regarded as one of the indispensable conditions for society development. Its quality improvement is often manifested in its speed and quantity enhancement.With reference to the complex network theory, based on the railway train timetable as the basic data, the spatial impact of the opening of the high-speed railway on the railway network structure and the urban network structure in the northeast region is discussed. The results show that: 1) The overall characteristics of the Northeast urban railway: individual cities have high degree values while most cities have low degree values. The clustering coefficient is basically inversely proportional to the degree. The average path length has been reduced after the opening of the high-speed railway. The complex network features such as scale-free and small world are more obvious, and the overall connectivity of the railway network hasbeenstrengthened. 2) After the opening of the high-speed railway, the sub-dual-core railway network structure greatly reduces the dispersion of the topological network, and significantly improves the centrality of network connections in cities such as Changchun and Dalian. 3) The center of gravity of railway traffic shifts to the northwest, and regional imbalances increase.After the opening of the high-speed rail, surpassing Liaoning's leading position, Jilin Province's spatial connection capacity has grown rapidly. At the same time, the overall spatial difference in Northeast China has further expanded, the balance has been reduced, and the core-periphery structure has been further polarized. 4) Compared with the other three central cities, Dalian cannot attract other cities at the first gravity, but it is at the same level as other central cities in the second gravity, which also reveals the unique gateway characteristic of Dalian as a central city: The scale of external contacts is strong, but due to the marginal location, Dalian does not have the function of radiating urban agglomerations in passenger and freight traffic flows.

    Table and Figures | Reference | Related Articles | Metrics
    The Spatial Distribution and Influencing Factors of National Characteristic Towns in China
    Wang Zhaofeng, Liu Qingfang
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (3): 419-427.   doi: 10.13249/j.cnki.sgs.2020.03.010
    Abstract303)   HTML32)    PDF (3992KB)(247)      

    The construction of characteristic towns is an important way to promote the agglomeration of regional spatial resources,optimize regional industrial structure, improve supply-side structural reform, and promote the sustainable and high-quality development of China's economy and resources protection. Based on the data of the first and second batches of national characteristic towns in China, with the help of GIS spatial analysis tools, methods such as Kernel Density Analysis, Neighborhood Analysis and Buffer Analysis are applied to analyze the spatial distribution characteristics and influencing factors of national characteristic towns in China. The results show that: 1) National characteristic towns are distributed in an agglomeration pattern in space, which are mainly concentrated in coastal areas, central regions, especially in the Yangtze River Delta with an uneven distribution in north and south. In the 3 zones, the distribution of national characteristic towns in the eastern and western regions shows a trend of decreasing gradient from east to west. In the eight partitions, the number of national characteristic towns gradually decreases from the eastern coast and the southern coast to the middle reaches of the Yellow River and the northwest of China. 2) The first batch of national characteristic towns with high-density core areas are located in the Yangtze River Delta region of China, and the micro-core areas are in Tibet and Xinjiang, showing a gradual decline from the coast to the interior, which is coupled with the spatial distribution of the three major economic zones in eastern and western China. While the second batch of national characteristic towns with high-density core areas are still located in the Yangtze River Delta region. The secondary core areas appear in Beijing-Tianjin-Hebei and the junction of Sichuan, Guizhou and Chongqing Provinces. 3) From the perspective of natural factors, national characteristic towns are concentrated in subtropical and warm temperate regions with small slope and topographic relief, low elevation and relatively flat terrain. From the perspective of social and economic factors, national characteristic towns are mainly distributed in the regions with good economic foundation, high-developed market and well-developed cultural industry.

    Table and Figures | Reference | Related Articles | Metrics
    Cited: CSCD(1)
    Spatial Pattern and Influencing Factors of Retailing Industries in Xi'an Based on POI Data
    Gao Yanhui, Yang Qingqing, Liang Lu, Zhao Yonghong
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (5): 710-719.   doi: 10.13249/j.cnki.sgs.2020.05.005
    Abstract303)   HTML31)    PDF (3875KB)(201)      

    In the long-term evolution and competition, the spatial pattern of retailing industries reflects the rules of location selection and residents' needs. Based on POI data, the spatial pattern of retailing industries in Xi'an is analyzed. The spatial distribution pattern and agglomeration state of retailing industries sub sectors are analyzed by using Kernel density estimation, and bivariate spatial autocorrelation, nearest neighbor analysis method. The main conclusions are as follows: 1) Because of close relative to urban residents' daily life, retailing industries' spatial agglomeration reflects the distribution pattern of the urban center and the scope of the economically active area in Xi'an. The overall structure of the retailing industries in Xi'an is classical ‘center-periphery’, with the Bell Tower at the center, and the area within 16 km from the bell tower. The retailing industries act as a ‘single island’ in the four outer suburbs peripheral, Yanliang, Gaoling, Lintong and Huyi. 2) The spatial distribution characteristics of retailing are related to the residents' aligned consumption frequency. Products retailing with large daily consumption tend to be located in inner-city, while the product retailing with durable consumer goods, especially the products that need to occupy a large site, tend to be the peripheral area. The retailing of culture/sports goods and equipment, the retailing of textiles/clothing and daily necessities tend to distribute in inner-cities, while the retailing of automobiles, motorcycles, spare parts/fuel/other power, and the retailing of hardware, furniture and interior decoration materials are more inclined to distribute in the periphery area in Xi'an. 3) The comprehensive retailing, the retailing of food/beverage and tobacco products, the retailing of textiles/clothing and daily necessities, and the retailing of medicine and medical equipment tend to be centralized, to get close to consumers, and share the consumption market and space. While the retailing of automobile, motorcycle, spare parts/fuel/other power, and the retailing of hardware, furniture and interior decoration materials tends to be centralized itself obviously to share the brand effect. The spatial distribution of retailing outlets is obviously affected by traffic hubs, trunk lines, especially urban secondary roads.

    Table and Figures | Reference | Related Articles | Metrics
    Evaluation of Ecological and Social-economic Benefits of Large Water Conveyance Projects: A Case Study on the Lower Reaches of the Tarim River
    Wang Xiyi, Peng Shuzhen, Xu Hailiang, Ma Tingting, Yue Junsheng
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 308-314.   doi: 10.13249/j.cnki.sgs.2020.02.016
    Abstract300)   HTML17)    PDF (1390KB)(195)      

    There are many problems of ecology and environment in arid area, and the ecological vulnerability is one of the focuses in arid regions. As a result, ecological protection and environmental management in arid regions have always been a hot topic of global concerns. The Tarim River Basin, which is very vulnerable, is located in the inland arid regions of Northwest China. Before the implementation of ecological water transport, due to the impacts of natural environmental changes and intensified human activities, the vegetation in the region was seriously damaged, desertification was gradually intensified, and economic developments was seriously hindered. Therefore, the ecological and environmental problems of the Tarim River Basin have been attracted great attentions of the state. In 2000, the Chinese government invested 10.7 billion yuan to carry out ecological control projects in the Tarim River Basin, and to implement ecological water conveyance in the lower reaches of the Tarim River. From 2000 to 2016, 17 times ecological water transfers have been carried out in the lower reaches of the Tarim River. Studying whether the ecological water conveyance projects in the lower reaches of the Tarim River could improve the ecological environment and promote local economic development, and how to quantify the changes of ecological environment and economic development, and how to analyze the characteristics of the relationships between water conveyance and the changes of ecological environment and economic development, are the important basis for the scientific and sustainable implementation of ecological water conveyance, and of great significance for the sustainable development of regional economy. It is of great significance. Based on the remote sensing data of 2000, 2010 and 2016 in the lower reaches of Tarim River, land types in the region were classified and changing characteristics of ecosystem service value in the region were assessed; Then, Principal Component Analysis was applied to estimate the evaluation scores of regional socio-economic. The results are as follows: 1) Since the beginning of ecological water conveyance, the area of unused land in the lower reaches of the Tarim River has not changed much, and it has always accounted for more than 70% of the total area of the region; The water area increased most significantly, and the area of farmland and construction land has also increased, but the area of woodland and grassland decreased. 2) From 2000 to 2016, the value of each service function of ecosystem has increased, and the value of provide aesthetic landscape and gas regulation increased greatly, which were 318.35% and 312.94% respectively; What’s more, the total value of ecosystem services increased by about 69.57%. 3) The factors that affect the economic development of lower reaches of the Tarim River were economic geography factors and agricultural development level; From 2000 to 2016, social economic scores in the lower reaches of the Tarim River increased, that shows the social-economic benefits of ecological water conveyance were very significant, and there was a positive correlation between social and economic benefits and ecological water conveyance. As a result, the ecological water conveyance project should be continued with reasonable control and management measures in order to promote the local ecological restoration and sustainable economic development.

    Table and Figures | Reference | Related Articles | Metrics
    Cited: CSCD(1)
    The Spatial Characteristics of Rurality and Its Relationship with the Transportation Accessibility in the Loess Plateau
    Lyu Minjuan, Cao Xiaoshu
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 248-260.   doi: 10.13249/j.cnki.sgs.2020.02.010
    Abstract286)   HTML16)    PDF (9166KB)(211)      

    In the context of rural transformation and reconstruction and urban-rural integration, production factors such as population, land and capital, continue to flow between urban and rural areas, so rural areas have happened great changes. Accessibility, as the direct medium to drive the change of rural characteristics, has an important impact on rural poverty alleviation and sustainable development. Taking the counties as the basic spatial unit, we examine the spatio-temporal dynamic of rurality and potential accessibility in the Loess Plateau by evaluating the rurality and potential accessibility indexes quantitatively of the 243 counties in the years of 1990, 2000, 2010 and 2015. At the same time, this article analyzes the geographical concentration and the correlation of the rurality and potential accessibility of the Loess Plateau by using the methods of exploratory spatial data analysis and spatial econometric model. The main conclusions are as follows: 1) Rurality indexes of the counties in the Loess Plateau tend to decline, but the difference among 243 counties becomes wider, and the distribution pattern of rurality index presents the pattern of “high in the west and low in the east”; the potential accessibility in Loess Plateau tends to enhanced, but the difference among 243 counties becomes shrinking, and the distribution pattern of potential accessibility—“high in the east and low in the west”—is basically unchanged from 1990 to 2015. 2) The spatial distribution of rurality and accessibility has a strong positive spatial autocorrelation respectively, but the spatial aggregation tends to weaken from 1990 to 2015, and distributes along the line of “Yulin-Qingyang”. Moreover, the rurality’s high-high agglomeration areas are mainly distributed in Liupan Mountainous Area and Luliang Mountainous Area, while the potential accessibility agglomeration areas are mainly distributed in Guanzhong plain, Henan and Shanxi, and gradually extend to Inner Mongolia. What’s more, the increase in accessibility has a negative effect on rurality and this effect becomes enhanced volatility, which verifies the hypothesis that areas with high accessibility is always with weaker rurality, meanwhile, the low accessibility-high rurality types are mainly distributed in Qinghai, Gansu and Ningxia, the high accessibility-low rurality types are mainly distributed in the northeast with a higher economic development. 3) The rurality shows significantly spatial spillover effect, that is significant spatial lag and spatial error spillover effect, which means the rural development in the region will be affected by the surrounding rural area. The improvement of potential accessibility will make the rural population change rate and the primary industry rate decline, while make the agricultural labor productivity, rural per capita net income, and agricultural land productivity increase. What’s more, the accessibility has the greatest impact on agricultural land productivity from 1990 to 2015, but the impact on rural residents' per capita net income enhanced most.

    Table and Figures | Reference | Related Articles | Metrics
    Characteristics of Comprehensive Evaluation of Time and Space in the Transformation of China's Economic Development Mode
    Wang Xueyi, Xiong Shengyin
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 220-228.   doi: 10.13249/j.cnki.sgs.2020.02.007
    Abstract285)   HTML10)    PDF (915KB)(155)      

    The 19th National Congress pointed out that "China's economy has shifted from a high-speed growth stage to a high-quality development stage", indicating that the transformation of the economic development mode is the only way for China's economy to shift from high-speed growth to high-quality development, and must shift from scale to quality. Based on the core concept of high-quality economic development, this article constructs a five-dimensional economic development mode transformation evaluation index system including economic growth kinetic energy conversion, structural optimization, green development, stable opening and population development. Firstly, the article analyzes the transformation level of economic development mode in China and various provinces from 1987 to 2017 by using the "transverse and horizontal extension method", and then explores its temporal and spatial characteristics by ESDA method. The main conclusions are as follows: 1) China's economic development mode changes overall level. It is on an upward trend year by year, especially after the growth of many provinces in 2012, but the development gap between regions is large. 2) In the five dimensions reflecting the transformation of economic development mode, the population development is better; The economic structure optimization is steadily advancing; the green development shows a trend of deterioration and improvement; the economic stability and opening up ability is steadily rising; the economic growth kinetic energy conversion is poor, but The fluctuations slightly increased. 3) The spatial differentiation is obvious, and the level of China's economic development mode has generally shown a trend of decreasing the gradient in the inland hinterland with the eastern region as the core. 4) A more obvious global spatial positive correlation is presented, and the local spatial mainly forms high and low agglomeration types, and there is a relatively obvious interaction relationship. The policy enlightenment is: 1) Establish the "five developments" concept, reduce environmental pollution through structural upgrading, and accelerate the formation of new development kinetics with science and technology innovation as the core. We will work hard to implement the people-centered development thinking and continuously improve the level of social security and welfare. 2) Play the leading role of the eastern region, increase the investment of funds, technology and talents needed for the western region, and gradually narrow the difference in the economic development mode between the eastern and western regions. 3) It is necessary to fully consider the dynamic evolution of time and space in the transformation of different provincial economic development modes. Based on this, several suggestions are proposed to promote the transformation of China's economic development mode in the new era.

    Table and Figures | Reference | Related Articles | Metrics
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (4): 674-674.  
    Abstract275)   HTML30)    PDF (12882KB)(161)      
    Reference | Related Articles | Metrics
    Global Vegetation Change and Its Relationship with Precipitation and Temperature Based on GLASS-LAI in 1982-2015
    Li Maohua, Du Jinkang, Li Wantong, Li Runjie, Wu Senyao, Wang Shanshan
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (5): 823-832.   doi: 10.13249/j.cnki.sgs.2020.05.017
    Abstract272)   HTML25)    PDF (8365KB)(218)      

    We analyzed the spatial-temporal changes in global vegetation and their dynamic responses to temperature and precipitation using GLASS-LAI (Global Land Surface Satellite-Leaf Area Index ) and CRU (Climatic Research Unit) meteorological data from 1982 to 2015. The results showed that: 1) Global vegetation showed an overall greening trend, which is paricularly significant over grasslands, savannas, evergreen broadleaf forests and woody savanas. Grasslands have the largest greening and browning area, indicating their vulnerability to climate. 2) In terms of the inter-annual relationships, the LAI of grasslands and open shrublands were overall positively correlated with precipitation, while temperature had different effects on the growth of vegetation at diverse latitudes. This could be attributed to that, the growth of vegetation at middle and low latitudes was inhibited by the increasing temperature, while facilitated by the rising temperature at high latitudes. 3) In terms of the intra-annual relationships, precipitation and temperature together promoted vegetation growth in the southern hemisphere, however, the vegetation in the northern hemisphere was mainly affected by precipitation, except evergreen broadleaf forests. 4) The results of stepwise multiple regression indicated that the rising instant temperature had positive influence on the growth of evergreen broadleaf forests, mixed forests, and croplands, while woody savannas and savannas were significantly impacted by the instant precipitation.

    Table and Figures | Reference | Related Articles | Metrics
    Evaluation of the Implementation of Polycentric System Plan in Mega-City Based on Conformance Criteria: A Case Study of Hangzhou City
    Ding Liang, Niu Xinyi, Shi Cheng
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 211-219.   doi: 10.13249/j.cnki.sgs.2020.02.006
    Abstract270)   HTML12)    PDF (3758KB)(126)      

    Evaluations of plan implementation focused on whether the construction of physical space is in accordance with the plan. It is difficult to answer whether the plan target is achieved. This article will evaluate the implementation of the polycentric system plan in Hangzhou core built-up area based on two conformance criteria: Conformance of physical construction and conformance of plan target. The conclusions are as follows. The physical construction of polycentric system is successful. Fifteen city-level centres have been constructed at principal, secondary and sub-secondary levels. Physical construction has successfully guided the transformation of spatial structure from a single principal centre system to two principal centre and multiple sub-centres system. However, the polycentric system fails to achieve the expected effects of the plan target. The level of gathering at newly built public centres are considerably lower than that at traditional public centres, they are hardly to disperse the excessive concentration of public activities from traditional downtown. Meanwhile, the newly built public centres fail to encourage people to visit the nearest blocks for daily public activities. These mainly because the local government enforce the plan by policy, but economic activities still tend to cluster in traditional downtown. What’s more, the expansion of the city is over rapid, residents have not had sufficient time to adjust to the spatial relationship between the residence and daily public activities.

    Table and Figures | Reference | Related Articles | Metrics
    Cited: CSCD(1)
    Progress on Adaptability of Tourism Destination Social-ecological System
    Su Fei, Mo Xiaohang, Tong Lei, Zheng Ke, Cao Yirong
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (2): 280-288.   doi: 10.13249/j.cnki.sgs.2020.02.013
    Abstract270)   HTML10)    PDF (413KB)(234)      

    Adaptability thinking and method have become a focus in the world academia due to its fitness for requirements for biodiversity protection and its significance to the sustainable development and the improvement of livelihoods in a social-ecological system (SES). Firstly, this article reviews a great amount of relative literatures about studies on the adaptability of a tourism destination SES and then summarizes in the aspects of research scale of objects, research methods, research contents, resolution path and target management of complex subsystems. This article also tends to provide some references and guidance for the construction and the studies on adaptability of tourism destination SES. Among current researches, the scales include macroscopical and microscopical ones, the majority of which is microscopical. As for the research contents, they comprise several dimensions such as “social-ecological” “social-economic” and “ecological-economic”. Secondly, by comparing relevant literatures domestic and abroad, this article indicates the resolution paths of studies on adaptability include “vulnerability-adaptability” “resilience-adaptability” and “resilience-sustainability”, and evaluation methods mainly consist of “conceptual evaluation and framework construction” and “model building”. On the other hand, researches reveal that tourism destination SES is a complicated adaptive system including many subsystems like society, ecology and economy, whose connectivity can be constructed by target management among these subsystems. Finally, it concludes that scholars home and abroad place their focus on “concept of adaptability of SES”“application of adaptability theory or method” and “connection between adaptability thinking and tourism destination SES” in the studies on adaptability of tourism destination SES. Since relevant research on tourism destination SES is still at its early stage both domestic and overseas, it requires a great of studies. This article gets the following inspirations after sorting out the concept of adaptability of tourism destination SES: 1) Researches on medium scale lack now. Scholars should pay more attention to local culture, transportation in the scenic area and tourist attraction. In the time of doing so, they also should carry out their researches with integrity and comprehensiveness rather than in single aspect or several specific ones; 2) Based on multi angle path analysis and multivariate evaluation methods, future researches should introduce new ideologies, angles crossing subjects, and further improve the application of adaptability of tourism destination SES; 3) By constructing connectivity among complex subsystems in multi routes through target management, relevant researches need to integrate various discipline theories and methods on purpose of explanation and analysis on different types of tourism destination SES and internal elements within. At last, scholars enrich their research contents so as to achieve the sustainable development in tourism destination SES.

    Table and Figures | Reference | Related Articles | Metrics
    Advantage Location and Influencing Factors of Logistics Enterprises in Chongqing Based on Niche Theory
    Liu Sijing, Sun Wenjie, Li Guoqi
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (3): 393-400.   doi: 10.13249/j.cnki.sgs.2020.03.007
    Abstract269)   HTML16)    PDF (623KB)(108)      

    Based on 5 937 logistics enterprises in Chongqing, the ecological niche model of logistics enterprises and counting model are adopted to identify the advantageous location and influencing factors of logistics enterprises from multiple scales. The following conclusions are drawn in the article. 1) At the district and county scales, there are 8, 8 and 22 districts and counties with a niche breadth in the high, medium and low levels, and a spatial structure of “one main gathering center and one sub-concentrating center” is presented around the main urban area and Wanzhou District; 2) On the street scale, 29 streets’ logistics enterprises density are on the first three floors, but among these 29 streets, only one street’s logistics enterprises state is on the first three floors; and 413 streets’ logistics enterprises density are on the last three floors, but among these 413 streets, 29 streets’ logistics enterprises state is on the first three floors; There are not coordinated in spatial distribution between logistics enterprises state and logistics enterprises density, and the outstanding problem is that logistics enterprises density in some streets is higher, but logistics enterprises state is lower; 3) From the perspective of influencing factors, trading volume in commodity exchange market and the presence of logistics nodes are highly positively correlated with the number of logistics enterprises, which are not affected by the scale. After weighting the scale of logistics enterprises, industrial output value is replaced by whether there is a factor of port layout.

    Table and Figures | Reference | Related Articles | Metrics