IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v26y2020i2p324-343.html
   My bibliography  Save this article

Time-varying mechanisms between foreign direct investment and tourism development under the new normal in China

Author

Listed:
  • Xiuying Ma

    (Jilin University of Finance and Economics, China)

  • Yongjing Wang

    (Jilin University of Finance and Economics, China)

  • Haiyan Song

    (The Hong Kong Polytechnic University, China)

  • Han Liu

    (Jilin University, China)

Abstract

This study is aimed at investigating what has happened to the dynamic linkages between foreign direct investment (FDI) and tourism development in China since the emergence of the so-called new normal economy. A time-varying parameter vector autoregressive (TVP-VAR) model is used for the first time to analyze the equi-spaced and time-point impulse responses between FDI, foreign exchange earnings from international tourism (FEE), and gross domestic product using annual data taken from 1983 to 2017. The results for the equi-spaced impulse response show that a difference in intensity for the interaction effect between FDI and FEE will change with different intervals. In addition, impulse response diagrams for FDI and FEE based on changes in economic development at three significant points in time reveal that the effect FDI in the new normal period has had the greatest impact on FEE in 2012, followed in decreasing impact by 2003 and then 1997.

Suggested Citation

  • Xiuying Ma & Yongjing Wang & Haiyan Song & Han Liu, 2020. "Time-varying mechanisms between foreign direct investment and tourism development under the new normal in China," Tourism Economics, , vol. 26(2), pages 324-343, March.
  • Handle: RePEc:sae:toueco:v:26:y:2020:i:2:p:324-343
    DOI: 10.1177/1354816619870948
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1354816619870948
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1354816619870948?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Zhifang He & Fangzhao Zhou, 2018. "Time-varying and asymmetric effects of the oil-specific demand shock on investor sentiment," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.
    2. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    3. Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2009. "On the evolution of the monetary policy transmission mechanism," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 997-1017, April.
    4. Stelios Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Empirical Economics, Springer, vol. 45(1), pages 635-664, August.
    5. Liu, Dayu & Xu, Ning & Zhao, Tingting & Song, Yang, 2018. "Identifying the nonlinear correlation between business cycle and monetary policy rule: Evidence from China and the U.S," Economic Modelling, Elsevier, vol. 73(C), pages 45-54.
    6. Koop, Gary & Korobilis, Dimitris, 2013. "Large time-varying parameter VARs," Journal of Econometrics, Elsevier, vol. 177(2), pages 185-198.
    7. Yun-Huan Lee & William S. Chang, 2016. "Analyzing the effects of economic factors on modeling the diffusion of foreign exchange earnings from tourism in Taiwan," Tourism Economics, , vol. 22(5), pages 1126-1131, October.
    8. T. K. Jayaraman & Hong Chen & Markand Bhatt, 2014. "Research Note: Contribution of Foreign Direct Investment to the Tourism Sector in Fiji: An Empirical Study," Tourism Economics, , vol. 20(6), pages 1357-1362, December.
    9. Jian-qing Zhang & Tingting Chen & Fei Fan & Song Wang, 2018. "Empirical research on time-varying characteristics and efficiency of the Chinese economy and monetary policy: evidence from the MI-TVP-VAR model," Applied Economics, Taylor & Francis Journals, vol. 50(33), pages 3596-3613, July.
    10. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    11. Diana Barrowclough, 2007. "Foreign Investment in Tourism and Small Island Developing States," Tourism Economics, , vol. 13(4), pages 615-638, December.
    12. Tran Van Hoa & Lindsay Turner & Jo Vu, 2018. "Economic impact of Chinese tourism on Australia," Tourism Economics, , vol. 24(6), pages 677-689, September.
    13. Tomohara, Akinori, 2016. "Japan's tourism-led foreign direct investment inflows: An empirical study," Economic Modelling, Elsevier, vol. 52(PB), pages 435-441.
    14. Taotao Deng & Mulan Ma & Jianhua Cao, 2014. "Tourism Resource Development and Long-Term Economic Growth: A Resource Curse Hypothesis Approach," Tourism Economics, , vol. 20(5), pages 923-938, October.
    15. Sumei Tang & E.A. Selvanathan & Saroja Selvanathan, 2007. "The Relationship between Foreign Direct Investment and Tourism: Empirical Evidence from China," Tourism Economics, , vol. 13(1), pages 25-39, March.
    16. Arora Siddharth & Little Max A. & McSharry Patrick E., 2013. "Nonlinear and nonparametric modeling approaches for probabilistic forecasting of the US gross national product," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 395-420, September.
    17. Sheereen Fauzel & Boopen Seetanah & R.V. Sannassee, 2017. "Analysing the impact of tourism foreign direct investment on economic growth," Tourism Economics, , vol. 23(5), pages 1042-1055, 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. Yixing Yang & Md. Qamruzzaman & Mohd Ziaur Rehman & Salma Karim, 2021. "Do Tourism and Institutional Quality Asymmetrically Effects on FDI Sustainability in BIMSTEC Countries: An Application of ARDL, CS-ARDL, NARDL, and Asymmetric Causality Test," Sustainability, MDPI, vol. 13(17), pages 1-29, September.

    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. Coşkun Akdeniz, 2021. "Construction of the Monetary Conditions Index with TVP-VAR Model: Empirical Evidence for Turkish Economy," Springer Books, in: Burcu Adıgüzel Mercangöz (ed.), Handbook of Research on Emerging Theories, Models, and Applications of Financial Econometrics, edition 1, pages 215-228, Springer.
    2. Nikita Moiseev & Alexey Mikhaylov & Hasan Dinçer & Serhat Yüksel, 2023. "Market capitalization shock effects on open innovation models in e-commerce: golden cut q-rung orthopair fuzzy multicriteria decision-making analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    3. Hauzenberger, Niko, 2021. "Flexible Mixture Priors for Large Time-varying Parameter Models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 87-108.
    4. Jebabli, Ikram & Arouri, Mohamed & Teulon, Frédéric, 2014. "On the effects of world stock market and oil price shocks on food prices: An empirical investigation based on TVP-VAR models with stochastic volatility," Energy Economics, Elsevier, vol. 45(C), pages 66-98.
    5. Kenichiro McAlinn, 2021. "Mixed‐frequency Bayesian predictive synthesis for economic nowcasting," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1143-1163, November.
    6. He, Yongda & Lin, Boqiang, 2018. "Time-varying effects of cyclical fluctuations in China's energy industry on the macro economy and carbon emissions," Energy, Elsevier, vol. 155(C), pages 1102-1112.
    7. Gong, Xu & Chen, Liqiang & Lin, Boqiang, 2020. "Analyzing dynamic impacts of different oil shocks on oil price," Energy, Elsevier, vol. 198(C).
    8. Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2020. "Bayesian Modelling of TVP-VARs Using Regression Trees," Working Papers 2308, University of Strathclyde Business School, Department of Economics, revised Aug 2023.
    9. Eric Eisenstat & Joshua C. C. Chan & Rodney W. Strachan, 2016. "Stochastic Model Specification Search for Time-Varying Parameter VARs," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1638-1665, December.
    10. Miguel Belmonte & Gary Koop, 2014. "Model Switching and Model Averaging in Time-Varying Parameter Regression Models," Advances in Econometrics, in: Bayesian Model Comparison, volume 34, pages 45-69, Emerald Group Publishing Limited.
    11. Cross, Jamie & Nguyen, Bao H., 2017. "The relationship between global oil price shocks and China's output: A time-varying analysis," Energy Economics, Elsevier, vol. 62(C), pages 79-91.
    12. Kanazawa, Nobuyuki, 2020. "Radial basis functions neural networks for nonlinear time series analysis and time-varying effects of supply shocks," Journal of Macroeconomics, Elsevier, vol. 64(C).
    13. Amine Ben Amar, 2022. "On the role of Islamic banks in the monetary policy transmission in Saudi Arabia," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 55-94, March.
    14. Maria Sole Pagliari, 2021. "Does one (unconventional) size fit all? Effects of the ECB's unconventional monetary policies on the euro area economies," Working papers 829, Banque de France.
    15. Joshua C.C. Chan & Eric Eisenstat & Rodney W. Strachan, 2018. "Reducing dimensions in a large TVP-VAR," CAMA Working Papers 2018-49, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    16. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 1210, University of Nevada, Las Vegas , Department of Economics.
    17. Han, Jong-Suk & Hur, Joonyoung, 2020. "Macroeconomic effects of monetary policy in Korea: A time-varying coefficient VAR approach," Economic Modelling, Elsevier, vol. 89(C), pages 142-152.
    18. Bala Dahiru Abdullahi, 2016. "Time-Varying VAR with Stochastic Volatility and Monetary Policy Dynamics in Nigeria," Economics Bulletin, AccessEcon, vol. 36(4), pages 2237-2249.
    19. So Jung Hwang & Hyunduk Suh, 2021. "Analyzing Dynamic Connectedness in Korean Housing Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(2), pages 591-609, January.
    20. Nikolay Hristov & Oliver Hülsewig & Thomas Siemsen & Timo Wollmershäuser, 2019. "Restoring euro area monetary transmission: Which role for government bond rates?," Empirical Economics, Springer, vol. 57(3), pages 991-1021, September.

    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:sae:toueco:v:26:y:2020:i:2:p:324-343. 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: SAGE Publications (email available below). General contact details of provider: .

    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.