scholarly journals The spatial distribution characteristics, influencing factors and development models of rural tourism in China

2021 ◽  
Vol 261 ◽  
pp. 03022
Author(s):  
Jia Lei ◽  
Yanhong Liu
Keyword(s):  
Spatial Distribution ◽  
Spatial Pattern ◽  
Nearest Neighbor ◽  
Buffer Zone ◽  
Structural Features ◽  
Yangtze River Delta ◽  
River Delta ◽  
Rural Tourism ◽  
Geographic Concentration ◽  
Development Models

As an essential support for rural revitalization and global tourism strategies, rural tourism has a lot to do in the dual-cycle development pattern. Based on the first and second batch of crucial rural tourism villages in the country, the nearest neighbor index, geographic concentration index, Gini coefficient, standard deviation ellipse, nuclear density and other methods are used to analyze their spatial distribution types, spatial balance, spatial pattern and evolution. Then, the factors influencing the distribution differences are analyzed by using the tools of geographic connection rate and buffer zone. From a configuration perspective, QCA is used to explore the development model of crucial rural tourism villages. The results show that: ①China’s rural tourism crucial villages along the Hu Huanyong line show a condensed distribution characteristic of “sparsely located in the southeast and sparsely northwest”. The distribution within the provinces is weakly concentrated and the spatial imbalance is prominent. Morover, the spatial pattern is evident from the Northeast to the Southwest and shows the insense evolution trend. ②The crucial rural tourism villages are spatially formed with the dual-core radiation and multi-regional structural features centered on the Beijing-Tianjin-Hebei, Yangtze River Delta, and supplemented by several sub-high-density areas such as Guanzhong, Sichuan, Chongqing, Guizhou, and Pearl River Delta, and finally formed the radiation pattern of urban agglomerations-central cities-crucial rural tourism villages. ③Natural geography, source market, transportation environment, economic level, and endowment of tourism resources are important factors that affect the spatial distribution of crucial rural tourism villages. ④There are three main development models of crucial rural tourism villages in China: source market-driven, traffic-oriented and scenic-radiant.

scholarly journals Geospatial Distribution of Public Secondary in Gombe Local Government Area, Gombe State of Nigeria

2019 ◽  
Vol 1 (1) ◽  
pp. 30-39
Author(s):  
Yila Caiaphas Makadi ◽  
Abecca Stephen Sati ◽  
Ismail Dankaka
Keyword(s):  
Spatial Distribution ◽  
Local Government ◽  
Spatial Pattern ◽  
Nearest Neighbor ◽  
Secondary Data ◽  
Local Government Area ◽  
Primary Data ◽  
Public Secondary School ◽  
Data Survey ◽  
Senior Secondary

The paper reviews research tradition of accessibility level and spatial distribution of student in public secondary school in gombe local government area, Gombe state. Primary and secondary data were used for the study. Primary data was collected using questionnaire and a hand-held GPS receiver to capture the coordinate points of schools and other relevant data. Secondary data include administrative map, population figures of both students and Teachers, Names and addresses of the secondary schools in the study area. The data were analyzed using geographic information techniques. From the data survey carried out, the result of the analysis showed the accessibility level and spatial distribution of school in Gombe were seventeen (17) public senior secondary and total number of students were nineteen thousand and eleven (19,011). The nearest neighbor analysis (NNA) for the spatial pattern of school were carried out based on each ward in study area which as ten (10) wards in each ward revealed two major spatial distributions. The spatial pattern of the Gombe LGA has Nearest Neighbour Ratio (NNR): 3.385087, Bolari East ward with NNR: 3.385087 and Shamaki wards NNR: 1.600148, which showed dispersed pattern, while Jekada Fari ward with NNR: 0.214890, Pantami ward with NNR: 0.226863, and Herwo Gana wards with NNR: 0.185239, were showed clustered pattern. The nearest neighbor index shows clustered pattern for all the wards in the local government area except Bolari East and Shamaki wards that has dispersed pattern of distribution. The implication of these two patterns means that accessibility is poor in the study area. Students travel than normal to overcome the function of distance.

Magnets of creative talents in Yangtze River Delta Bay area

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liuyi Zhang ◽  
Anna Shi ◽  
Longzhang Fang
Keyword(s):  
Spatial Distribution ◽  
Yangtze River ◽  
Spillover Effect ◽  
Yangtze River Delta ◽  
Housing Affordability ◽  
River Delta ◽  
Lasso Regression ◽  
Content Type ◽  
Bay Area ◽  
Creative Talent

Purpose This study aims to examine the spatial distribution and movement patterns of creative talent within the Yangtze River Delta Bay Area (YRDBA) and the factors that contribute to such trends. Design/methodology/approach The study examines data for the period 2006 to 2018 from the regions that constitute the YRDBA: Shanghai, Jiangsu, Zhejiang and Anhui. Spatial distribution pattern analysis is adopted to interpret the flow tendency both spatially and chronologically and a Lasso regression model is used to investigate variables that influence this tendency. Findings It is found that creative talents in YRDBA are accumulating steadily in provincial capitals and financially advanced cities. Technology infrastructure, women’s rights, medical care amenities and housing affordability are major determinants of such spatial distribution. The talent spillover effect raises attention in talent saturated areas, while the surrounding regions should prepare to receive and retain the overflow. Originality/value Creative talents geography in China and the dynamism of creative talent in YRDBA are rarely discussed. Determinants of creative talents lack systematic pectination, literature that filters multiple determinants of creative talents migration is limited and discussion specific to the Chinese context is scarce. This case can, thus, provide insights into creative talents in developing countries and add to the current literature, bridge the gap of the current understanding of creative talents in YRDBA – the innovation and development center in China and provide a reference for policymakers when making macro decisions.

scholarly journals Analysis of Spatial Wharf Pattern of the Yangtze River Delta Urban Agglomeration, China

2019 ◽  
Vol 8 (12) ◽  
pp. 541
Author(s):  
Penglin Zhang ◽  
Hongli Li ◽  
Junqiang Wang ◽  
Jiewen Hong
Keyword(s):  
Spatial Distribution ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Urban Agglomeration ◽  
Social Progress ◽  
Eastern Coast ◽  
The Yangtze River ◽  
Water Transportation ◽  
The Yangtze River Delta

Wharves, which play a vital role in ensuring and promoting social progress and national economic development, are important in water transportation. At present, studies on related fields mainly focus on ports. A robust research system has been formed through the continuous development of port geography from the perspective of space. However, the number of relevant studies on wharves is limited. This study explores the spatial distribution characteristics of wharves in the Yangtze River Delta Urban Agglomeration by using spatial analysis methods, such as nearest neighbor index, multi-distance spatial clustering, kernel density estimation, and standard deviation ellipse. Moreover, it evaluates the allocation level of wharves from different scales by constructing an index system based on the location data of 1264 wharves in the Yangtze River Delta Urban Agglomeration. Results show that the spatial pattern of wharves exhibits evident aggregation and regional differences. The spatial distribution of wharves is characterized by a “band” structure, which is densely distributed along the Yangtze River and the eastern coast. The allocation level of wharves presents evident agglomeration at different scales. The relationship between the spatial wharf pattern and the economy shows that high gross domestic product and total imports and exports correspond to a considerable number of wharves.

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