Analysis on Spatial Distribution and Influencing Factors of A-Level Scenic Spots in Shandong Province
DOI: 10.23977/tmte.2022.050304 | Downloads: 10 | Views: 730
Author(s)
Lei Zhang 1, Li Shi 1, Weimei Li 1, Ran Yang 1
Affiliation(s)
1 School of Tourism, Taishan University, Taian, 271000, China
Corresponding Author
Li ShiABSTRACT
In this paper, the spatial distribution situation and influencing factors of 1,227 A-level scenic spots in Shandong Province are analyzed based on the text and mathematical statistics, and the following conclusions are drawn: (1) The spatial distribution of A-level scenic spots in Shandong Province is significantly different among cities. Three major A-level scenic clusters have been formed, namely, southern Shandong (with Linyi and Jining as the core), east Shandong (with Qingdao and Weifang as the core) and central Shandong (with Jinan, Taian and Zibo as the core). (2) The concentration degree and density of the spatial distribution of A-level scenic spots in different cities of Shandong Province are imbalanced. It has formed a higher-density distribution area with the central parts of Dongying and Qingdao cities as the core, a high-density distribution area with the belt-shaped area from Jinan city to Weifang city in the east, the eastern part of Binzhou city, the northern part of Taian city, the central part of Jining city, the northern part of Linyi city and the peripheral block-shaped areas in the central parts of Dongying and Qingdao cities as the core, a medium-density distribution area with Jinan-Zibo-Linyi-Zaozhuang-Jining-Taian and other cities in the central and southern Shandong regions as the core, and a low and lower-density distribution area with the block-shaped areas formed by Dezhou-Liaocheng-Heze belt-shaped area in the western Shandong region and Yantai-Weihai-Rizhao three cities in Jiaodong Peninsula. (3) Social and economic factors, especially the financial revenue of service industries above designated size and the total retail sales of social consumer goods, have the strongest impact on the spatial distribution of A-level scenic spots in Shandong Province.
KEYWORDS
A-level scenic spots, spatial distribution, influencing factors, Shandong ProvinceCITE THIS PAPER
Lei Zhang, Li Shi, Weimei Li, Ran Yang, Analysis on Spatial Distribution and Influencing Factors of A-Level Scenic Spots in Shandong Province. Tourism Management and Technology Economy (2022) Vol. 5: 25-30. DOI: http://dx.doi.org/10.23977/tmte.2022.050304.
REFERENCES
[1] Zhu D.D., Xie X., Li X.D., et al. (2020) Spatial Distribution Characteristics and Influencing Factors of A-level Tourist Scenic Spots in Xinjiang. Journal of Xinjiang University (Natural Science Edition) (Chinese and English), 37, 353-361.
[2] Wu Q., Li X.G., Wu L., et al. (2017) Distribution Pattern and Spatial Correlation of A-Grade Tourist Attractions in Hunan Province. Journal of Economic Geography, 37, 193-200.
[3] Li D.H., Zhang X.Y., Lu L., et al. (2020) Spatial Distribution Characteristics and Influencing Factors of High-Level Tourist Attractions in the Yellow River Basin. Journal of Economic Geography, 40, 70-79.
[4] Gao M.Y., Qiu S., Zhou G.M., et al. (2018) Study On the Spatial Evolution of A-grade Tourist Attractions in Southwest Region. Journal of China West Normal University (Natural Science Edition), 39, 443-450.
[5] Wang S.M., He Z.L. and Guo Y.Z. (2019) Spatial Differentiation and Influencing Factors of Rural Tourism Model Villages in the Five Northwest Provinces of the Silk Road Economic Belt. Journal of Economic Geography, 39, 199-206.
[6] Chen L., Hu J., Fu Q.G., et al. (2014)A study on the spatial mismatch between the A-grade tourist attractions and the quality of inbound tourism in Shandong Province. Journal of Huazhong Normal University (Natural Science Edition), 48, 755-760.
[7] Wang H.Q., Yuan J.D. and Meng X.J. (2017) Spatial distribution characteristics and influencing factors of Grade A tourist attractions in Northeast China. Geographical Sciences, 37, 895-903.
[8] Li L.M. (2013) Study on the temporal and spatial differences and influencing factors of tourism economic development in Shanxi Province. Xi’an: Shaanxi Normal University.
[9] Ma X.F. and Yang X. (2019) Spatial-temporal distribution characteristics of high-level scenic spots in western Hunan and spatial heterogeneity of influencing factors. Journal of Natural Resources, 34, 1902-1916.
[10] Jia Y.Y., Hu J., Liu D.J., et al. (2019) Spatial Evolution and Influence Mechanism of A-Level Scenic Spots in Urban Agglomeration in the Middle Reaches of the Yangtze River. Journal of Economic Geography, 39, 198-206.
[11] Liu Y., Xiao C.W., Li P., et al. (2015) Relationship of grain output and economic development from 1978 to 2013 in the major grain producing area of China. Resources Science, 37, 1891-1901.
[12] Zhang L., Wu Y.D. and Li J. (2018) Spatial pattern evolution and prediction of rural settlement in Plateau Lake Plain Area: A case in Haixi District of Dali. Journal of China Agricultural University, 23, 126-138.
Downloads: | 8646 |
---|---|
Visits: | 224829 |
Sponsors, Associates, and Links
-
Information Systems and Economics
-
Accounting, Auditing and Finance
-
Industrial Engineering and Innovation Management
-
Journal of Computational and Financial Econometrics
-
Financial Engineering and Risk Management
-
Accounting and Corporate Management
-
Social Security and Administration Management
-
Population, Resources & Environmental Economics
-
Statistics & Quantitative Economics
-
Agricultural & Forestry Economics and Management
-
Social Medicine and Health Management
-
Land Resource Management
-
Information, Library and Archival Science
-
Journal of Human Resource Development
-
Manufacturing and Service Operations Management
-
Operational Research and Cybernetics