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    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (1): 1-5.  
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    Development of Cross-border Integration of Beijing and Shanghai Based on Symbiosis Theory
    Wang Shaobo, Luo Xiaolong, Tang Mi, Liu Junfeng
    SCIENTIA GEOGRAPHICA SINICA    2019, 39 (11): 1681-1690.   doi: 10.13249/j.cnki.sgs.2019.11.001
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    The symbiosis of cross-border areas is the basic condition for realizing the integrated development of urban agglomerations. Based on the theory of symbiosis, this article takes Shanghai and Beijing as examples, Logistic symbiosis function is used to identify the symbiotic relationship between Beijing and Shanghai with their own neighboring cities. Meanwhile, the formation mechanism of symbiotic relationship is discussed based on the spatial differentiation of symbiotic environment and interface. Study found: 1) Compared with Beijing, Shanghai has a more coordinated development with its neighboring cities, and they have a mutualism and parasitism relationship with their surrounding cities. 2) Compared with Shanghai, Beijing has certain political specialties; the political rights between Beijing and its neighboring cities is unequal; Beijing’s market environment is mostly one-way interactive mode, which makes some limits for Beijing to form a good symbiotic relationship with its surrounding areas. However, Shanghai has a relatively equal communication environment with its neighboring cities; its police and market environment is mostly two-way interactive mode, which promoted its symbiotic relationship with surrounding cities. 3) Factor space contact structures of symbiotic interface between Shanghai and Beijing with their surrounding areas have obvious pattern of "traffic corridor" features. Compared with their cities, the elemental flow and symbiotic degree of Beijing and Shanghai and important traffic corridor nodes or cities along the route are higher.

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    Nature and Basic Issues of Geography
    Song Changqing, Zhang Guoyou, Cheng Changxiu, Chen Fahu
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (1): 6-11.   doi: 10.13249/j.cnki.sgs.2020.01.002
    Abstract432)   HTML55)    PDF (494KB)(421)      

    A discipline has typically the following four key features, namely independent research objects, independent research questions, unique characteristics, and unique social services. This paper first discusses the nature of Geography from three aspects, to reveal the characteristics of modern Geography. First, the research object of Geography is changing from simple to complex evolution. In performing geographic research, we should well recognize the complexity of geographic systems. Second, the framework of geographic research questions is structured by the fusion among geographic features, space, and time. This paper explains the essential distinction between different geographic research questions, which promotes the development of the methods and technologies for answering these questions. Third, the philosophy of combining reductionism and holism is growing continuously. A new pattern of research has been formed based on new disciplines and technologies, which is the parallel development of the research on geographic features and that on systems. This paper then identifies the essential characteristics of geographic research, summarizes the key research questions in Geography, and discusses the multiple effects of driving mechanisms on the laws of Geography. An understanding of the fundamental characteristics and the modern value of Geography illustrated in this paper will be contribute to the societal development of Geography.

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    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
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    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.

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    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
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    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.

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    Pattern Language of the Spatial Arrangement of Traditional Villages: A Case Study of Zhangguying Village
    Li Bohua, Zheng Shinian, Liu Peilin, Dou Yindi
    SCIENTIA GEOGRAPHICA SINICA    2019, 39 (11): 1691-1701.   doi: 10.13249/j.cnki.sgs.2019.11.002
    Abstract408)   HTML43)    PDF (787KB)(231)      

    The spatial form and combination characteristics of traditional villages contain strong regional cultural genes which make the typical and modal spatial layout, and form unique spatial pattern language. Based on the basic theory of pattern language and landscape genes, taking Zhangguying Village as the research object, this article carries on the spatial element recognition and the landscape gene extraction to the traditional village, and then constructs the pattern language system of the spatial layout of Zhangguying village. This article studies the splicing, transformation and nesting of horizontal and vertical dimensions, and explores the nested structure, process mechanisms and logical context of the spatial layout of Zhangguying Village which provides a new theoretical method and research idea for the protection and sustainable development of traditional villages in China. The results show that: 1) Through analyzing the spatial deconstruction and landscape genes of the spatial layout of Zhangguying Village, the spatial layout can be divided into living space, connecting space, subsidiary space and compound space. By generating and extracting 86 kinds of spatial design vocabulary, a graphic prototype database for spatial layout of Zhangguying Village has been established. Each type of spatial design vocabulary has its own characteristics and connected with each other. 2) By spatial nesting the schema vocabulary of the spatial layout of Zhangguying Village, teasing out the spatial lexicon, spatial syntax and spatial grammar followed in the nesting process, this paper established the pattern language system of the spatial layout of Zhangguying Village. This system has integrated graphic language logic, and its development pattern and space order always followed the patriarchal etiquette system and traditional ethics. 3) The spatial layout pattern language of Zhangguying Village has complete and stable design syntax and grammar. The space design language is rich in vocabulary, and the combination types of syntax are multiplex, but the grammatical structure is relatively single. The overall space is mostly formed by continuous "copying" and "pasting" the same or similar basic space elements which follow a fixed pattern. Special spatial relationship forms the village spatial layout with partly complex & changeable and the whole relatively single. And a lot of rhetorical devices have been used in the layout of village space. 4) The spatial layout of Zhangguying Village is influenced by the geographical environment greatly. The village space construction elements and design ideas have strong regional color. The vocabulary and space law of pattern language also have distinctive local characteristics.

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    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
    Abstract375)   HTML22)    PDF (503KB)(193)      

    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.

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    Spatial Pattern and Influencing Mechanism of Interprovincial Migration’s Hukou Transfer Intention in China
    Gu Hengyu, Liu Ziliang, Shen Tiyan
    SCIENTIA GEOGRAPHICA SINICA    2019, 39 (11): 1702-1710.   doi: 10.13249/j.cnki.sgs.2019.11.003
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    Based on data from migration dynamic micro survey 2016, this article first construct the network of interprovincial Hukou transfer intention in China. Then, with the use of some spatial analysis methods, including global Moran’s I coefficient and hot spot, we explore the spatial pattern of such network. Considering network autocorrelation in our data, Eigenvector Spatial Filtering Gravity Model (ESFGM) is applied for analyzing the driving factors. Main results reveal that: 1) The network shows a concentrating spatial pattern, and migrating flows with high ranks are mainly from the undeveloped areas to developed regions. That is to say, the willingness of transferring Hukou differs from regions to regions, showing heterogeneity. 2) Although there exists a random spatial pattern of Hukou attractiveness, such pattern of out-migration is concentrating. Furthermore, provinces in the west and northwest are the hot spot areas of Hukou emigration intention, while the cold spot areas are the mid-east regions in China. 3) From the macro perspective, population of destination shows a negative impact on Hukou transfer intention, while the size of population in an origin is not highly correlated; per capita GDP of both origin and destination, as well as export of foreign-invested firms, influence the intention positively and notably. But among all macro factors, the average wage of employees in urban areas leads to relatively higher impact. 4) From the micro perspective, generally speaking, migrants’ individual and family factors have strong ties with their Hukou transfer intention. A migrant, with higher education level, smaller age and larger scale of family in the destination, tends to transfer his (or her) Hukou to the immigration place. In the meantime, impacts of house condition and migration reason cannot be ignored: a migrant with lower intention of buying a local house or migrating for business, is likely to have a lower intention of transferring Hukou.

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    Cited: CSCD(1)
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (4): 497-497.  
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    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
    Abstract309)   HTML37)    PDF (538KB)(229)      

    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.

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    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
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    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.

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    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
    Abstract295)   HTML34)    PDF (1087KB)(230)      

    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.

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    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
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    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.

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    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
    Abstract282)   HTML23)    PDF (2241KB)(180)      

    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.

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    The Evolution of the Network Structure of Talent Mobility in Countries or Regions Along the “Belt and Road”
    Hou Chunguang, Du Debin, Duan Dezhong, Gui Qinchang, Jiao Meiqi
    SCIENTIA GEOGRAPHICA SINICA    2019, 39 (11): 1711-1718.   doi: 10.13249/j.cnki.sgs.2019.11.004
    Abstract280)   HTML21)    PDF (12342KB)(178)      

    High-quality talents are reshaping the world economic landscape by transcending geographic flows and driving global innovative activities. Under the background of globalization and profound changes in international geopolitics, the ‘Belt and Road’ has become the general program of China’s opening up and foreign cooperation. Talents are the key to advancing the strategy of ‘Belt and Road’. The number of international student mobility along the ‘Belt and Road (B&R)’ has increased rapidly from 13.2×10 4 persons in 2000 to 104×10 4 persons in 2015. The significant increase of flows means a broader and more complex network of political and economic relationships. The concept of ‘talent’ is relatively broad, including scientists, scholars, engineers, artists, entrepreneurs, college students and so on. The ‘talent’ mentioned in this article are international students receiving international higher education. In the era of knowledge economy, studying abroad has become an important part of international talent flow and a necessary process for countries to cultivate international talents. Compared with international students, other types of talents have smaller international mobility and lack of formal statistical data. Based on the data of international students mobility in universities published by UNESCO, this article uses the complex network method to construct a weighted directed network, combining with GIS spatial analysis methods to study the evolution of the network structure of talent flows in B&R countries or regions from 2000 to 2015. Limited to data collection, the data of China do not include the data of Taiwan. The results show that: 1) The average weighted degree of talent flow networks in B&R countries or regions increases rapidly from 2 001 to 15 338. And the number of paths increases from 674 to 1 860, which indicates that not only does the number of mobile talents in the network continues to increase, but also does the number of talent paths. Meanwhile, the network scale expands rapidly as well. 2) The geospatial pattern of the network of talent flows in B&R countries or regions is ‘from middle to west, from south to north’. Students in central Asia mainly flow westward to Russia, Ukraine, while students in Southeast and South Asia mainly flow northward to China. As a result, the network center gradually shifts from West to East. 3) The network of talent flows in B&R countries or regions has prominent community structure characteristics. The characteristics can be divided into 5 associations: The CIS Association, the China ASEAN Association, the West Asian North African Association, the Middle East European Association and the South Asian Association. 4) The network of talent flows in B&R countries or regions has a significant core-edge structure characteristics, China and Russia are at the core position, and some countries in southeast, Western and Eastern Europe are in the edge position. This article proposes suggestions for B&R talent training from perspective of the core countries, formulating regional talent exchange strategies, improving the quality of higher education, and implementing the international talent training mechanism of ‘internal and external circulation’.

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    Cited: CSCD(1)
    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
    Abstract279)   HTML20)    PDF (1931KB)(188)      

    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.

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    Hierarchical Network Structures and Regional Differentiations of Tourist Source Destinations of Nanjing Based on Cellular Signaling Data
    Gu Qiushi, Zhang Haiping, Chen Min, Xie Yi
    SCIENTIA GEOGRAPHICA SINICA    2019, 39 (11): 1739-1748.   doi: 10.13249/j.cnki.sgs.2019.11.007
    Abstract272)   HTML21)    PDF (5928KB)(179)      

    This paper studies the network hierarchy and regional differentiation patterns of the source market from a city level. Based on the big data of tourist number monitored in Nanjing, 5short-period festivals are selected including New Year's Day, Qingming Festival, Labor′s Day, Dragon Boat Festival and Mid-Autumn Festival of China. The methods of overall trend analysis based on spatial variables, social space network clustering analysis and spatial regional division model are adopted. Among them, the first method can be used to determine the overall spatial distribution trend of tourist flow intensity. The second one can realize the hierarchical division of the source network nodes, so as to simultaneously examine the hierarchical structure and spatial distribution structure of the network nodes. The division model based on machine learning can be used to distinguish the tourist volume and tourist flow intensity in the source market from the city level. The results are as follows: 1) The intensity of tourist flow shows significant spatial hierarchy characteristics. The high-ranking nodes are mainly located in the most adjacent and sub-adjacent areas of Nanjing, and the exogenous network effect is also obvious. 2) Overall, the source network nodes in five different short-period national holidays show similar hierarchical structures and distribution patterns while the regional differences are apparent. 3) Although there are many differences in the spatial distribution patterns of the high level city nodes among the five short-period national holidays, the basic spatial pattern could be generalized as: the most adjacent area of ??Nanjing as the first cluster, the sub-adjacent area of Nanjing as the second cluster and the adjacent area closed to Beijing and Guangzhou as the third and fourth clusters. Those four clusters constitute the most critical tourist generating areas to Nanjing. 4) The regionalized tourist volume division is characterized by a north-south differentiation pattern, while the regionalized tourist flow intensity division exhibits an east-west differentiation pattern. The analytical results of this paper have important practical implication for deepening the zoning of tourist source in Nanjing and provide references to other destinations. It also could help to conduct accurate marketing strategy in tourism marketing and optimizing the configuration of tourism supporting facilities.

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    Spatial-temporal Evolution of Rural Population Outflow and Its Mechanism in China
    Guo Yuanzhi, Zhou Yang, Liu Yansui
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (1): 50-59.   doi: 10.13249/j.cnki.sgs.2020.01.007
    Abstract271)   HTML29)    PDF (1354KB)(230)      

    Human is the key to social and economic development, and plays a decisive role in rural evolution. However, influenced by urban-rural dual structure, there are large population outflow in rural China, which makes the strategy of rural revitalization lack of human capital support. Therefore, to scientifically promote the implementation of rural revitalization in the new era, it is necessary to study the rural population outflow. Using datasets of 2000 and 2010 population census of the People's Republic of China by county, this research analyzed the evolution and spatial pattern of rural population outflow in China. Then it explored the mechanism of regional differentiation of outflow rate of rural population (ORRP), which was reflected by the ratio of rural hukou-registered population and rural residential population. Results showed that the development of rural population in China from 1978 to present could be divided into three stages i.e., slow development stage (1978-1995), massive outflow stage (1995-2014) and citizenship of agricultural transfer population (since 2014). From 2000 to 2010, ORRP at county level in China generally showed an upward trend, the centralization of rural hukou-registered and residential population declined obviously. From the perspective of spatial pattern, they all showed significant spatial clustering and positive spatial correlation. In 2000, there were 76.06% counties with ORRP ranging from 100% to 150%, and only 14.01% of the counties' ORRP were less than 100%, which were mainly located in Qinghai-Tibet Plateau, Xinjiang and the border areas of northeast China. By 2010, the proportion of counties with ORRP less than 100% fell to 5.20%, concentrating in Xinjiang, and there were also a few counties in Qinghai-Tibet Plateau and Northeast China. Based on pre-selected influencing factors, estimated results of spatial error model (SEM) indicated that elevation, per capita GDP, urban-rural income ratio, proportion of primary industry, urbanization rate, road density, educational attainment and per capita investment in fixed assets were positively correlated with ORRP at county level, while per capita farmland, per capita net income of rural households and ratio of rural employees showed a negative correlation.

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    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
    Abstract264)   HTML29)    PDF (812KB)(192)      

    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.

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    Spatial Distribution of Different Scale Flatland in Guizhou Province, China
    Li Yangbing, Chen Hui, Luo Guangjie
    SCIENTIA GEOGRAPHICA SINICA    2019, 39 (11): 1830-1840.   doi: 10.13249/j.cnki.sgs.2019.11.018
    Abstract263)   HTML31)    PDF (23107KB)(166)      

    Due to the special topography, geomorphology and geological characteristics, there is a land resource characteristic with obvious more mountains and less flatlands in Guizhou Province. It is of important significance for the sustainable utilization of land resources and the land use transformation layout to reveal systematically the quantity characteristics and spatial distribution pattern of different size flatland in Guizhou Province. This paper aims to investigate the quantity structure and spatial distribution characteristics of different scale flatlands in Guizhou Province. The high-resolution ALOS remote sensing images (with a spatial resolution of 10 m and 2.5 m) in 2010 and the topographic map (1∶50 000) are chosen as main data sources to study systematically the spatial distribution of flatlands with area of ≥1 hm 2 in Guizhou Province. The results show that the total area of flatland with an area of ≥1 hm 2 accounts for only 3.99% of the total land area of Guizhou Province, lowering than the traditional understanding that the total area of flatlands distributed in mountains accounts for 7.51% of the total area of Guizhou Province. The number of faltland with area in 10-20 hm 2is the highest among all flatlands. With the increase of flatland area, the proportion of number of corresponding flatland gradually also reduces. The flatlands are concentrated in the central part of Guizhou Province, along the northeast to the southwest. The hierarchical structure of flatland systems in Guizhou Province is relatively loose, with a great difference among different grade and scale flatlands. Each grade of flatland system presents a cluster distribution patterns. The research results can provide reference for the optimal utilization of land resources in Guizhou Province.

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    Relationship Between Built Environment and Urban Vitality in Shanghai Downtown Area Based on Big Data
    Ta Na, Zeng Yutian, Zhu Qiuyu, Wu Jiayu
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (1): 60-68.   doi: 10.13249/j.cnki.sgs.2020.01.008
    Abstract254)   HTML20)    PDF (4698KB)(291)      

    Research on urban vitality has drawn more attention from different disciplines and perspectives such as urban geography, urban planning and urban government. Urban vitality is not only an important symbol of urban sustainable development, but also an important factor for cities to retain high-skilled talents, which could improve the competitiveness of the city. Studying urban vitality is conducive for us to re-understanding the city in a new perspective and improving urban human-oriented planning and management for the government, especially for some megacities and international cities which contain a large population. Urban vitality, consisting of economic vitality, social vitality and cultural vitality, reflects the level of urban development capacity and quality of life, which is also closely related to the citizens. In order to discover the urban vitality in Shanghai, this paper uses multi-source data, including dianping’s data which counts the number of businesses in the studying area to reflect the economic vitality, urban taxi arrival data in one week to reflect the social vitality and cultural facilities data in the studying area to reflect cultural vitality, to measure urban vitality from two scale: both block and sub-district level. Based on this comprehensive measurement, this article intends to analyze the spatial outcome characteristics of urban vitality in different blocks and sub-districts. This article also establishes a regression models for analyzing the impact mechanism of urban built environment which consists of multiple elements on urban vitality. It is found that the urban vitality of Shanghai is higher in the central area, decreasing from the central area to the surrounding area in the city. In the meanwhile, the value of urban vitality in Puxi area is higher than Pudong area, which means the daily activities and communication in Puxi area are more dynamic than these in Pudong area. Apart from differences between Puxi and Pudong areas, there are also distinctions regarding to the factors of built environments effecting the urban vitality between block level and street level. On the block level, it is found that the built environments effect significantly to different types of urban vitality and the comprehensive vitality. What’s more, for each vitality, the effect shows in different ways. Specifically, the increase of population density will influence the urban vitality by firstly in an active way then in a passive one. Especially for social and cultural vitality, the high density of population is not beneficial. For the facilities, increase of POI density and road network density presenting completeness and POI mixing degree presenting the variety of land use will promote all kinds of the vitality and comprehensive vitality. In the respect of the design, the increase of average building layers and building density will reduce the social vitality and cultural vitality, but will enhance the economic vitality and comprehensive vitality of the block at the same time. And in terms of the access to public transportation, the distance to the nearest bus station will increase the economic vitality of the block. According to the discoveries about the spatial pattern and the effecting factors of urban vitality, this article proves improving the built environment is meaningful to the development of urban.

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    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
    Abstract243)   HTML9)    PDF (983KB)(166)      

    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.

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    High-speed Rail Network Spatial Structure and Organization Model in China
    Zhong Yexi, Guo Weidong
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (1): 79-88.   doi: 10.13249/j.cnki.sgs.2020.01.010
    Abstract242)   HTML20)    PDF (2601KB)(135)      

    High-speed rail is an important part of modern transport infrastructure. It has an important impact on the flow of production factors, the expansion of urban space, and the reconstruction of regional spatial structure. Based on the O-D data of high-speed rail network in 2018, the social network analysis is used to discuss the structural characteristics of high-speed rail network and other organizational modes from HSR network and urban nodes. The results show that: 1) China's high-speed rail network has experienced four stages of germination, start-up, tortuous development and prosperity. China's high-speed rail network is relatively loose overall, the northeast region has the highest network density and western network density is sparse. High-speed rail links between the western region and the northeastern region are sparse. The intermediary role of the central and eastern regions in the overall network is obvious; 2) The “corridor effect” of the important high-speed rail channel is remarkable. The area along the Beijing-Shanghai high-speed railway and the Beijing-Guangzhou high-speed railway has become hot spot with high central value region. On the whole, it has a “triangular flag” composed of Beijing-Guangzhou, Beijing-Shanghai and Shanghai-Kunming high-speed railways. Spatial pattern and the trend of decreasing toward the cities on both sides. The centrality of the intermediary shows that the random distribution of the central hub city can better play a cohesive role; 3) The first-level high-speed rail network shows the high-speed rail corridors closely related to Shanghai-Nanjing Intercity, Beijing-Tianjin Intercity and Wuhan-Guangzhou High-speed Railway. The second-level network basically reveals the road network planning of China's high-speed railways and the provincial cities in the high-speed rail network as a prominent intermediary role; The third level identifies the trend of the high-speed rail network from four horizontal and vertical expand to eight horizontal and eight vertical. The fourth level of China's high-speed rail network shows overall spatial network details; 4) The territorial organization models of high-speed railway network is characterized by point-axis beading mode, dual-core grouping mode and polar core model, the perfection of the high-speed railway networkhas transformed the organizational model from a single core to a network.

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    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
    Abstract241)   HTML39)    PDF (11136KB)(170)      

    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.

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    Investigation and Assessment of Waterfront Resources in the Yangtze River Economic Zone
    Duan Xuejun, Wang Xiaolong, Zou Hui, Liang Shuangbo, Chen Weixiao
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (1): 22-31.   doi: 10.13249/j.cnki.sgs.2020.01.004
    Abstract240)   HTML18)    PDF (1241KB)(117)      

    Based on the technology and method of the remote sensing survey, field sampling, evaluation and classification of the waterfront resources, the investigation and analysis of the natural basis and using status of the waterfront in the Yangtze River Economic Zone are carried out. The resources conditions, ecological sensitivities, using status as well as their ecological environment impact are revealed, the zoning scheme and use policy for the management on the waterfront resources in the Yangtze River Economic Zone are put forward, which is a scientific approach to the management on the waterfront resources in the Yangtze River Economic Zone. Firstly, the waterfront resources utilization should be strictly managed by the different control measures according to the classification: prohibiting utilization areas, optimizing utilization areas, restricting utilization areas; secondly, the illegal occupation that do not meet the development policy and the requirements for the environmental safety should be cleaned up to promote the eco-environmental quality; Thirdly, the ecological restoration in the areas of the waterfront in which the industry has been cleared out, or in the heavily polluted areas should be carried out according to the natural attributes and the ecological function of the waterfront in the Yangtze River Economic Zone. Fourthly, management organization and mechanism with multi-sector coordination and effective regulations in the utilization of the waterfront should be established to ensure the safety of flood control and water supply, support the social and economic development and form the green, efficiency and intensive utilization pattern of the Yangtze River Economic Zone.

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    Cited: CSCD(1)
    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
    Abstract240)   HTML15)    PDF (1025KB)(132)      

    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.

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    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
    Abstract236)   HTML21)    PDF (628KB)(124)      

    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.

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    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
    Abstract236)   HTML6)    PDF (22154KB)(214)      

    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.

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    Cited: CSCD(1)
    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
    Abstract234)   HTML14)    PDF (1390KB)(158)      

    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.

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    Cited: CSCD(1)
    SCIENTIA GEOGRAPHICA SINICA    2020, 40 (4): 674-674.  
    Abstract233)   HTML27)    PDF (12882KB)(138)      
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