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

• Qian Li ^[1] ; Meiwei Tang ^[2] ; Chengbo Li ^[3]
  1. [1] Shanghai University of Finance and Economics

     Shanghai University of Finance and Economics

     China

     
  2. [2] Nanjing University of Finance and Economics

     Nanjing University of Finance and Economics

     China

     
  3. [3] Dongbei University of Finance and Economics

     Dongbei University of Finance and Economics

     China

     

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• Localización: Tourism economics: the business and finance of tourism and recreation, ISSN 1354-8166, Vol. 27, Nº. 4, 2021, págs. 762-776
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • 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.