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Measurement and Evaluation of Convergence of Japan’s Marine Fisheries and Marine Tourism

Author

Listed:
  • Wei Yao

    (Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology, Tokyo 108-8477, Japan)

  • Weikun Zhang

    (Mangrove Institute, Lingnan Normal University, Zhanjiang 524088, China)

  • Wenxiu Li

    (School of Economics & Trade, Guangdong University of Finance, Guangzhou 510520, China)

  • Penglong Li

    (Department of Global Agriculture Science, The University of Tokyo, Tokyo 113-8657, Japan)

Abstract

This study attempts to examine the convergence development of the marine fishery (MF) and marine tourism (MT) industries of Japan through the theory of industrial relevance. First, the current MF and MT situation in Japan is introduced to analyze the mechanism of the integration of the two industries. Second, a Vector Autoregression Model (VAR) is built to examine the relationship between MF and MT. In addition, the shock potential contributions of the MF and MT industries are identified using impulse response and variance decomposition. Results show that the impact of MF on MT is more significant than that of MT on MF. However, the interaction between MF and MT tends to stabilize in the long run. Third, the industrial integration case of Japan’s Himakajima Island is selected to analyze the MF and MT integration mechanism. The integration of MF and MT can reduce transaction costs, make full use of labor, and promote the development of the local economy. Therefore, attention should be paid to the integration of the MF and MT industries, rather than partial implementation, to balance the development of the marine economy. Finally, relevant suggestions and measures are presented for marine industry transformation and upgrading, industrial integration, and green ecological development.

Suggested Citation

  • Wei Yao & Weikun Zhang & Wenxiu Li & Penglong Li, 2022. "Measurement and Evaluation of Convergence of Japan’s Marine Fisheries and Marine Tourism," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9108-:d:871087
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    References listed on IDEAS

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    1. Sick, Nathalie & Bröring, Stefanie, 2022. "Exploring the research landscape of convergence from a TIM perspective: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
    3. Makino, Mitsutaku & Matsuda, Hiroyuki & Sakurai, Yasunori, 2009. "Expanding fisheries co-management to ecosystem-based management: A case in the Shiretoko World Natural Heritage area, Japan," Marine Policy, Elsevier, vol. 33(2), pages 207-214, March.
    4. Braun, Phillip A. & Mittnik, Stefan, 1993. "Misspecifications in vector autoregressions and their effects on impulse responses and variance decompositions," Journal of Econometrics, Elsevier, vol. 59(3), pages 319-341, October.
    5. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    6. Eichler, Michael, 2007. "Granger causality and path diagrams for multivariate time series," Journal of Econometrics, Elsevier, vol. 137(2), pages 334-353, April.
    7. Yusuke Kitamura & Yuki Ichisugi & Selim Karkour & Norihiro Itsubo, 2020. "Carbon Footprint Evaluation Based on Tourist Consumption toward Sustainable Tourism in Japan," Sustainability, MDPI, vol. 12(6), pages 1-23, March.
    8. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    10. Hyunjung Kim & Eun Jung Kim, 2021. "Tourism as a Key for Regional Revitalization?: A Quantitative Evaluation of Tourism Zone Development in Japan," Sustainability, MDPI, vol. 13(13), pages 1-24, July.
    11. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    12. Kitamura, Yuichi, 1998. "Likelihood-Based Inference In Cointegrated Vector Autoregressive Models," Econometric Theory, Cambridge University Press, vol. 14(4), pages 517-524, August.
    13. Hongjia Ma & Qing Sun & Yang Gao & Yuan Gao, 2019. "Resource Integration, Reconfiguration, and Sustainable Competitive Advantages: The Differences between Traditional and Emerging Industries," Sustainability, MDPI, vol. 11(2), pages 1-20, January.
    14. Ivanov Ventzislav & Kilian Lutz, 2005. "A Practitioner's Guide to Lag Order Selection For VAR Impulse Response Analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-36, March.
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