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Mechanisms and Strategies for the Growth of Territorial Tourism Industry under the Transfer Matrix Model

   | 20 nov 2023
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Zeng, S., Gao, L., Shen, R., Ma, Y., & Li, H. (2020). Fiscal decentralization, pollution and china’s tourism revenue. Sustainability, 12. Search in Google Scholar

Yin, J., Bi, Y., & Ji, Y. (2020). Structure and formation mechanism of china-asean tourism cooperation. Sustainability, 12. Search in Google Scholar

Meng, W., Xu, L., Hu, B., Zhou, J., & Wang, Z. (2016). Quantifying direct and indirect carbon dioxide emissions of the chinese tourism industry. Journal of Cleaner Production, 126(Complete), 586-594. Search in Google Scholar

Liang, F., Mu, L., Wang, D., & Kim, B. S. (2021). A new model path for the development of smart leisure sports tourism industry based on 5g technology. IET Communications. Search in Google Scholar

Zhong, L., & Chen, D. (2019). Progress and prospects of tourism climate research in china. Atmosphere, 10(11), 701. Search in Google Scholar

Dong, D., Xu, X., & Wong, Y. F. (2019). Estimating the impact of air pollution on inbound tourism in china: an analysis based on regression discontinuity design. Sustainability, 11. Search in Google Scholar

Liu, Z., Lu, C., Mao, J., Sun, D., Li, H., & Lu, C. (2021). Spatial–temporal heterogeneity and the related influencing factors of tourism efficiency in china. Sustainability, 13. Search in Google Scholar

Zhuang, X., Yao, Y., & Li, J. (2019). Sociocultural impacts of tourism on residents of world cultural heritage sites in china. Sustainability, 11(3). Search in Google Scholar

Zhang, S., Zhong, L., Ju, H., & Wang, Y. (2019). Land border tourism resources in china: spatial patterns and tourism management. Sustainability, 11(1). Search in Google Scholar

Wei, Shui, Guowei, & Xu. (2015). Analysis of the influential factors for changes to land use in china’s xingwen global geopark against a tourism development background. Geocarto International. Search in Google Scholar

Jiang, L., Wu, H., & Song, Y. (2022). Diversified demand for health tourism matters: from a perspective of the intra-industry trade. Social Science & Medicine, 293. Search in Google Scholar

Hu, Y. C. (2017). Predicting foreign tourists for the tourism industry using soft computing-based grey– markov models. Sustainability, 9(7). Search in Google Scholar

Shih, H. Y., & Yao, Y. S. (2020). Indicators of low-carbon management in the leisure industry: research using examples in taiwan and china. Sustainability, 12. Search in Google Scholar

Lu, C., Pang, M., Yang, J., & Wang, D. (2018). Research on interactions between the economy and environment in tourism development: case of qingyang, china. Sustainability, 10. Search in Google Scholar

Ding, Y., Sun, J., & Wang, C. (2020). Establishment and practice of the statistical indicator system for all-area-advancing tourism in china. Sustainability, 12. Search in Google Scholar

Chenyu, L., Wenlei, L., Min, P., Bing, X., & Hong, M. (2018). Quantifying the economy-environment interactions in tourism: case of gansu province, china. Sustainability, 10(3), 711. Search in Google Scholar

Xie, N. (2020). Coupling of urbanization and the development of the marine tourism industry: an exploratory study. Journal of Coastal Research, 106(sp1), 213. Search in Google Scholar

Wang, H., Liu, D. H., Yu, L., Chen, G. J., & Li, W. H. (2020). Analysis on the reading guidance to classics in the teaching of specialized courses in tourism undergraduate education in china. International Journal of Electrical Engineering Education, 002072092093107. Search in Google Scholar

Cui, H. (2020). Design of cruise tourism competitiveness evaluation system in port city. Journal of Coastal Research, 103(sp1), 1075. Search in Google Scholar

Kleindessner, Matthäus, & Von Luxburg, U. (2017). Lens depth function and k-relative neighborhood graph: versatile tools for ordinal data analysis. Journal of Machine Learning Research, 18. Search in Google Scholar

Dumuid, D., Olds, T., Lewis, L. K., J. A. Martin‐Fernández, Barreira, T., & Broyles, S., et al. (2018). The adiposity of children is associated with their lifestyle behaviours: a cluster analysis of school‐aged children from 12 nations. Pediatric Obesity, 13(2). Search in Google Scholar

eISSN:
2444-8656
Lingua:
Inglese
Frequenza di pubblicazione:
Volume Open
Argomenti della rivista:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics