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Co-evolution Dataset of Tourism Economy and Urban Ecological Resilience in Shandong Province of China (2011-2020)


WANG Songmao1NIU Jinlan1
1 College of Economic and Management,Shandong Agricultural University,Tai'an 271018,Shandong,China

DOI:10.3974/geodb.2023.09.05.V1

Published:Sep. 2023

Visitors:3022       Data Files Downloaded:252      
Data Downloaded:4.54 MB      Citations:

Key Words:

tourism economy, urban ecological resilience, co-evolution, Shandong province

Abstract:

Based on the data from Statistical Yearbook, and the statistical bulletins of local cities in Shandong Province of China, the authors used the entropy weight TOPSIS method and the Haken model to develop the co-evolution dataset of tourism economy and urban ecological resilience in Shandong Province of China (2011-2020). The dataset includes: (1) the level and trend of tourism economy and urban ecological resilience in Shandong Province and 17 prefecture level cities from 2011 to 2020; (2) the level and trend of synergistic evolution between tourism economy and urban ecological resilience in 17 prefecture level cities in Shandong Province from 2011 to 2020; (3) the co-evolution value of tourism economy and urban ecological resilience in the three major economic circles; (4) regression coefficients of factors influencing the synergistic evolution of tourism economy and urban ecological resilience in 17 prefecture level cities in Shandong Province from 2011 to 2020. The dataset is archived in .xlsx format, consisting of one data file with data size of 19 KB. The analysis paper based on this dataset will be published in Acta Geographica Sinica, Vol. 78, 2023.

Foundation Item:

National Natural Science Foundation of China (42001156); Shandong Province (2020RWE009)

Data Citation:

WANG Songmao, NIU Jinlan. Co-evolution Dataset of Tourism Economy and Urban Ecological Resilience in Shandong Province of China (2011-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2023. https://doi.org/10.3974/geodb.2023.09.05.V1.

References:


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     [2] Sun, J. F., Li, S. T., Ji, X. M., et al. Coupling analysis and optimization measures of cultural resources endowment and tourism industry in Shandong [J]. Economic Geography, 2019, 39(8): 207-215.
     [3] Zhao, R. D., Fang, C. L., Liu, H. M. Progress and prospect of urban resilience research [J]. Progress in Geography, 2020, 39(10): 1717-1731.
     [4] Li, J. C., Yu, W. Discussion on statistical monitoring and evaluation of common prosperity [J]. Statistical Research, 2022, 39(2): 3-17.
     [5] Li, Z. Y., Wei, W., Zhou, L., et al. Spatio-temporal evolution characteristics of terrestrial ecological sensitivity in China [J]. Acta Geographica Sinica, 2022, 77(1): 150-163.
     [6] Guo, J. K., Liang, M. X. The coupling characteristics of the shipping network and trade between China and the countries along the 21st Century Maritime Silk Road [J]. Acta Geographica Sinica, 2022, 77(6): 1531-1545.
     [7] Ministry of Culture and Tourism of the People's Republic of China, National Bureau of Statistics, P. R. China. The Yearbook of China Tourism Statistics: 2012-2021 [M]. China Travel & Tourism Press, 2012-2021.
     [8] Department of Urban Socio-Economic Statistics, National Bureau of Statistics, P. R. China. Urban Statistical Yearbook: 2012-2021 [M]. Beijing: China Statistics Press, 2012-2021.
     [9] Shandong Survey Brigade of the National Bureau of Statistics, Shandong Provincial Bureau of Statistics. Shandong Statistical Yearbook: 2012-2021 [M]. Beijing: China Statistics Press, 2012-2021.
     [10] http://tjj.shandong.gov.cn.
     

Data Product:

ID Data Name Data Size Operation
1 Co-evolutionShandong2011-2020.xlsx 18.46KB
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