• Journal of Natural Resources
  • Vol. 35, Issue 5, 1068 (2020)
Nan GAO1、*, Xin-cheng ZHANG2, and Lin-yan WANG3
Author Affiliations
  • 1College of Culture Tourism, Shanxi University of Finance and Economics, Taiyuan 030031, China
  • 2School of Economics and Management, Northwest University, Xi'an 710127, China
  • 3School of Economics and Management, Xi'an University of Technology, Xi'an 710054, China
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    DOI: 10.31497/zrzyxb.20200505 Cite this Article
    Nan GAO, Xin-cheng ZHANG, Lin-yan WANG. Spatio-temporal characteristics and influencing factors of Chinese red tourism network attention[J]. Journal of Natural Resources, 2020, 35(5): 1068 Copy Citation Text show less
    References

    [3] FRERS L, BERKING H, FRANK S et al. In Negotiating Urban Conflicts: Interaction, Space and Control[D]. Berlin: Transcript Verlag, 195-207(2006).

    [4] TARLOW S. Death and commemoration[D]. Industrial Archaeology Review, 27, 163-169(2005).

    [6] CARRUTHERS J, KRISJANOUS J. An exploratory content analysis of dark tourism websites. In: Academy of Marketing Annual Conference 2015: The Magic of Marketing. Ireland Limerick: Journal of Marketing Management, 1-8(2015).

    [7] KRISJANOUS J. An exploratory multimodal discourse analysis of dark tourism websites: Communicating issues around contested sites[D]. Journal of Destination Marketing & Management, 5, 341-350(2016).

    [12] XIANG Z, PAN B. Travel queries on cities in the United States: Implications for search engine marketing for tourist destinations[D]. Tourism Management, 32, 88-97(2011).

    [13] CHAE B K, OK C M, PARK S B. Using twitter data for cruise tourism marketing and research[D]. Journal of Travel & Tourism Marketing, 33, 885-898(2016).

    [14] PADHI S S, PATI R K. Quantifying potential tourist behavior in choice of destination using Google Trends[D]. Tourism Management Perspectives, 24, 34-47(2017).

    [15] ÖNDER I. Forecasting tourism demand with Google trends: Accuracy comparison of countries versus cities[D]. International Journal of Tourism Research, 19, 648-660(2017).

    [16] SILIVERSTOVS B, WOCHNER D S. Google trends and reality: Do the proportions match?. Appraising the informational value of online search behavior: Evidence from Swiss tourism regions[D]. Journal of Economic Behavior & Organization, 145, 1-23(2018).

    [36] NEWEY W, HOLTZ-EAKIN D, ROSEN H S. Estimating vector autoregressions with panel data[D]. Econometrica: Journal of the Econometric Society, 56, 1371-1395(1988).

    [37] SMITH R, PESARAN M H. Estimating long-run relationships from dynamic het- erogeneous panels[D]. Journal of Econometrics, 68, 79-113(1995).

    [38] BINDER M H C P. Estimation and inference in short panel vector autoregressions with unit roots and cointegration[D]. Econometric Theory, 21, 795-837(2005).

    [39] ZICCHINO L, LOVE I. Financial development and dynamic investment behavior: Evidence from panel VAR[D]. The Quarterly Review of Economics and Finance, 46, 190-210(2006).

    Nan GAO, Xin-cheng ZHANG, Lin-yan WANG. Spatio-temporal characteristics and influencing factors of Chinese red tourism network attention[J]. Journal of Natural Resources, 2020, 35(5): 1068
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