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Research on the development mode of cultural tourism industry based on the concept of low carbon and environmental protection by big data analysis

Pubblicato online: 11 Oct 2023
Volume & Edizione: AHEAD OF PRINT
Pagine: -
Ricevuto: 25 Nov 2022
Accettato: 21 Apr 2023
Dettagli della rivista
License
Formato
Rivista
eISSN
2444-8656
Prima pubblicazione
01 Jan 2016
Frequenza di pubblicazione
2 volte all'anno
Lingue
Inglese

Dong, F., Li, Y., Qin, C., & Sun, J. (2021). How industrial convergence affects regional green development efficiency: a spatial conditional process analysis. Journal of environmental management, 300, 113738. Search in Google Scholar

Schiavone, F., Sabetta, A., Leone, D., & Chiao, B. (2021). Industrial convergence and industrial crisis: a situational analysis about precision medicine during the covid-19 pandemic. IEEE Transactions on Engineering Management, PP(99), 1-12. Search in Google Scholar

Yu, Y., Huang, J., & Zhang, N. (2018). Industrial eco-efficiency, regional disparity, and spatial convergence of china’s regions. Journal of Cleaner Production, 204(PT.1-1178), 872-887. Search in Google Scholar

Ruocco, G. D., Iglesias, L. P., B Blandón, & Melella, R. (2020). Low-carbon tourism—technical, economic and management project of a greenway, for enhancing inner areas of the cilento national park, italy. Sustainability, 12(23), 10012. Search in Google Scholar

Herrero-Prieto, L. C., & M Gómez-Vega. (2017). Cultural resources as a factor in cultural tourism attraction: technical efficiency estimation of regional destinations in spain. Tourism Economics the Business & Finance of Tourism & Recreation, 23(2), págs. 260-280. Search in Google Scholar

Qiu, X., Fang, Y., Yang, X., & Zhu, F. (2017). Tourism eco-efficiency measurement, characteristics, and its influence factors in china. Sustainability, 9(9). Search in Google Scholar

Han, J. (2018). Carrying capacity of low carbon tourism environment in coastal areas from the perspective of ecological efficiency. Journal of Coastal Research, 83, 199-203. Search in Google Scholar

N Martínez-Pérez, Elche, D., PM García-Villaverde, & Parra-Requena, G. (2019). Cultural tourism clusters: social capital, relations with institutions, and radical innovation:. Journal of Travel Research, 58(5), 793-807. Search in Google Scholar

Petit, S., & Seetaram, N. (2019). Measuring the effect of revealed cultural preferences on tourism exports. Journal of travel research, 58(8), 1262-1273. Search in Google Scholar

Chang, S. H., Hernández-Díaz, R. J., & Lo, W. S. (2020). The impact of low-carbon service operations on responsible tourist behavior: The psychological processes of sustainable cultural tourism. Sustainability, 12(12), 4943. Search in Google Scholar

Michele, N., Virginia, P., Daniele, G., & Vlad, P. (2017). Iot architecture for a sustainable tourism application in a smart city environment. Mobile Information Systems, 2017, 1-9. Search in Google Scholar

Zhang, J. (2017). Evaluating regional low-carbon tourism strategies using the fuzzy delphi- analytic network process approach. Journal of Cleaner Production, 141(JAN.10), 409-419. Search in Google Scholar

Zhang, ChengLuo, Li Liao, Huchang, Mardani, AbbasS treimikiene, DaliaAl-Barakati, Abdullah. (2020). A priority-based intuitionistic multiplicative utastar method and its application in low-carbon tourism destination selection. Applied Soft Computing, 88. Search in Google Scholar

Liu, Y., & Suk, S. (2021). Constructing an evaluation index system for china’s low-carbon tourism region—an example from the daxinganling region. Sustainability, 13. Search in Google Scholar

Su, Aaron, McDowell, & Lu. (2019). Sustainable synergies between the cultural and tourism industries: an efficiency evaluation perspective. Sustainability, 11(23), 6607. Search in Google Scholar

Pongthanaisawan, J., Wangjiraniran, W., Chuenwong, K., & Pimonsree, L. (2018). Scenario planning for low carbon tourism city: a case study of Nan. Energy Procedia, 152, 715-724. Search in Google Scholar

Thongdejsri, M., & Nitivattananon, V. (2019). Assessing impacts of implementing low-carbon tourism program for sustainable tourism in a world heritage city. Tourism Review, 74(2), 216-234. Search in Google Scholar

Liu, Q., Deng, W., & Jan, N. (2022). Animation user value portrait based on rfm model under big data. Mathematical Problems in Engineering, 2022. Search in Google Scholar

Mcswiggan, G., Baddeley, A., & Nair, G. (2017). Kernel density estimation on a linear network. Scandinavian Journal of Statistics, 44(2), págs. 324-345. Search in Google Scholar

Yan, X. L., Cui, Y. P., & Ni, S. J. (2020). Identifying influential spreaders in complex networks based on entropy weight method and gravity law. Chinese Physics B, 29(4). Search in Google Scholar

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