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A study on the multiobjective optimization model for tourism development – Take Shanghai as example

Author

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  • Qian Li

    (12634Shanghai University of Finance and Economics, China)

  • Meiwei Tang

    (12391Nanjing University of Finance and Economics, China)

  • Chengbo Li

    (12688Dongbei University of Finance and Economics, China)

Abstract

This article establishes a multiobjective optimization model for discussing tourism development issues. Tourism direct gross value added (TDGVA), tourism employment (TE) and tourism carbon emissions (TCEs) are integrated in the model, and sets of Pareto solutions are defined. By solving multiobjective optimization model through genetic algorithm, we design three tourism industry structure optimization schemes, namely, the growth-biased scheme, low-carbon emissions-biased scheme and employment-biased scheme. Compared with the actual data for 2012, TDGVA increased by 23.8 billion yuan rising by 14.8% in the growth-biased scheme, TCE fell by 4.97 million tons decreasing by 11.3% in the low-carbon emissions-biased scheme and TE increased by 83.53 thousand jobs increasing by 2% in the employment-biased scheme. The selection of tourism policy depends on the preference of decision makers.

Suggested Citation

  • Qian Li & Meiwei Tang & Chengbo Li, 2021. "A study on the multiobjective optimization model for tourism development – Take Shanghai as example," Tourism Economics, , vol. 27(4), pages 762-776, June.
    • Handle: RePEc:sae:toueco:v:27:y:2021:i:4:p:762-776
    DOI: 10.1177/1354816620901934
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    References listed on IDEAS

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