IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i16p9399-d619086.html
   My bibliography  Save this article

The Impact of Informatization on the Relationship between the Tourism Industry and Regional Economic Development

Author

Listed:
  • Xianghong Zhou

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Weiwei Chen

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

Abstract

Modern tourism plays an increasingly important economic role in regional development. However, in the practice of regional economic development, there is often a lag in economic development where the tourism industry is prosperous. We explored the potential impact of the development level of informatization on the coupling and coordination relationship between the tourism industry and regional economic development. Using provincial panel data from 2008 to 2017, we constructed a spatial Dubin model for empirical research. We established an evaluation model for the coupling and coordination relationship between tourism and regional economic development based on the establishment of evaluation models and indicator systems for informatization, tourism, and regional economic development. The results show that improvements to informatization generally promoted the coupling and coordination of tourism and regional economic development. Informatization not only improved the coupling and coordination of tourism and economic development in the region but also had significant spatial spillover effects. In addition to the influencing factors at the information level, the advantages of tourism resources and the level of economic development on the whole also helped to improve the degree of coupling and coordination, while the widening of the income gap between urban and rural areas hindered coordinated development. Further discussion shows that informatization will affect the degree of coupling and coordination between the tourism industry and regional economic development by influencing the level of institutional environment. The findings highlight the need to focus on diversified development of the regional tourism industry and economy while improving the level of informatization and strengthening cross-regional cooperation during informatization. The conclusions contribute to improving the coordinated development of regional tourism and regional economy and provide a scientific basis for the development of informatization and the formulation of tourism and economic policies.

Suggested Citation

  • Xianghong Zhou & Weiwei Chen, 2021. "The Impact of Informatization on the Relationship between the Tourism Industry and Regional Economic Development," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9399-:d:619086
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/16/9399/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/16/9399/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2012. "Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration," Journal of Econometrics, Elsevier, vol. 167(1), pages 16-37.
    2. Ronald Ravinesh Kumar & Peter Josef Stauvermann & Nikeel Kumar & Syed Jawad Hussain Shahzad, 2019. "Exploring the effect of ICT and tourism on economic growth: a study of Israel," Economic Change and Restructuring, Springer, vol. 52(3), pages 221-254, August.
    3. Saenz-de-Miera, Oscar & Rosselló, Jaume, 2012. "The responsibility of tourism in traffic congestion and hyper-congestion: A case study from Mallorca, Spain," Tourism Management, Elsevier, vol. 33(2), pages 466-479.
    4. Reyniers, Diane J., 1989. "Supply decisions for unknown linearly increasing demand," Engineering Costs and Production Economics, Elsevier, vol. 17(1-4), pages 389-393, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qin Yang & Huan Dan & Tingting Ni & Pan Zhao & Junyi Wei & Gang Wang, 2023. "Research on the Coupling and Coordinated Development of the Tourism Industry and Regional Economy in the Economic Circle of the Sichuan–Chongqing Region in Southwest China," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    2. Ming Hao & Gang Li & Changyou Chen & Liutao Liang, 2022. "A Coupling Relationship between New-Type Urbanization and Tourism Resource Conversion Efficiency: A Case Study of the Yellow River Basin in China," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
    3. Xianlei Dong & Shan Gao & Airong Xu & Zhikun Luo & Beibei Hu, 2022. "Research on Tourism Carrying Capacity and the Coupling Coordination Relationships between Its Influencing Factors: A Case Study of China," Sustainability, MDPI, vol. 14(22), pages 1-28, November.
    4. Maria Zulfaqar & Shahid Bashir & Samer Mohammed Ahmed Yaghmour & Jamshid Ali Turi & Musaib Hussain, 2023. "The Mediating Roles of Economic, Socio-Cultural, and Environmental Factors to Predict Tourism Market Development by Means of Regenerative Travel: An Infrastructural Perspective of China–Pakistan Econo," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    5. Vicente Ramos & Maurici Ruiz-Pérez & Bartomeu Alorda, 2021. "A Proposal for Assessing Digital Economy Spatial Readiness at Tourism Destinations," Sustainability, MDPI, vol. 13(19), pages 1-15, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francesc Amat & Pablo Beramendi & Miriam Hortas-Rico & Vicente Rios, 2020. "How inequality shapes political participation: The role of spatial patterns of political competition," Working Papers. Collection B: Regional and sectoral economics 2002, Universidade de Vigo, GEN - Governance and Economics research Network.
    2. Lung-fei Lee & Jihai Yu, 2012. "QML Estimation of Spatial Dynamic Panel Data Models with Time Varying Spatial Weights Matrices," Spatial Economic Analysis, Taylor & Francis Journals, vol. 7(1), pages 31-74, March.
    3. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.
    4. Hassin, Refael & Sarid, Anna, 2018. "Operations research applications of dichotomous search," European Journal of Operational Research, Elsevier, vol. 265(3), pages 795-812.
    5. Naoto Jinji & Xingyuan Zhang, 2015. "International Knowledge Flows and Productivity: Intra- vs. Inter-Industry Spillovers," International Economic Journal, Taylor & Francis Journals, vol. 29(3), pages 451-474, September.
    6. Yongfu Huang & M. G. Quibria, 2013. "Green Growth: Theory and Evidence," WIDER Working Paper Series wp-2013-056, World Institute for Development Economic Research (UNU-WIDER).
    7. Burridge, Peter & Iacone, Fabrizio & Lazarová, Štěpána, 2015. "Spatial effects in a common trend model of US city-level CPI," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 87-98.
    8. Elhorst, J. Paul & Madre, Jean-Loup & Pirotte, Alain, 2020. "Car traffic, habit persistence, cross-sectional dependence, and spatial heterogeneity: New insights using French departmental data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 614-632.
    9. Luo, Guowang & Wu, Mixia & Pang, Zhen, 2022. "Estimation of spatial autoregressive models with covariate measurement errors," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    10. Sawng, Yeong-wha & Kim, Pang-ryong & Park, JiYoung, 2021. "ICT investment and GDP growth: Causality analysis for the case of Korea," Telecommunications Policy, Elsevier, vol. 45(7).
    11. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    12. Jin, Fei & Lee, Lung-fei & Yu, Jihai, 2020. "First difference estimation of spatial dynamic panel data models with fixed effects," Economics Letters, Elsevier, vol. 189(C).
    13. Vicente Rios & Lisa Gianmoena, 2021. "On the link between temperature and regional COVID‐19 severity: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 109-137, November.
    14. Triki, Mohamed Bilel, 2019. "The Italian wage curve revisited: A local and spatial cointegration," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 73-90.
    15. Castro-Nuño, Mercedes & Arévalo-Quijada, M. Teresa, 2018. "Assessing urban road safety through multidimensional indexes: Application of multicriteria decision making analysis to rank the Spanish provinces," Transport Policy, Elsevier, vol. 68(C), pages 118-129.
    16. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2021. "Estimation and inference for spatial models with heterogeneous coefficients: An application to US house prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 18-44, January.
    17. Qi, HongSheng, 2024. "Partially observable Markov decision process for perimeter control based on a stochastic macroscopic fundamental diagram," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    18. Baltagi, Badi H. & Fingleton, Bernard & Pirotte, Alain, 2019. "A time-space dynamic panel data model with spatial moving average errors," Regional Science and Urban Economics, Elsevier, vol. 76(C), pages 13-31.
    19. Júlia Gallego Ziero Uhr & André Luis Squarize Chagas, Daniel de Abreu Pereira Uhr, Renan Porn Peres, 2017. "A study on environmental infractions for Brazilian municipalities: a spatial dynamic panel approach," Working Papers, Department of Economics 2017_13, University of São Paulo (FEA-USP).
    20. J. Wesley Burnett & Xueting Zhao, 2014. "Forecasting U.S. State-Level Carbon Dioxide Emissions," The Review of Regional Studies, Southern Regional Science Association, vol. 44(3), pages 223-240, Winter.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9399-:d:619086. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.