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The Impact of Artificial Intelligence (AI) on the Low-Carbon Economy: A Prospective Study on the Long-Term Rental Housing Market in Guangxi, China

Author

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  • Dandan LI

    (School of Management, Universiti Sains Malaysia, 11800 Penang, Malaysia2Business School of Guilin University of Technology, No. 12 Jiangan Road, Guilin 541000, China)

  • Nik Hadiyan Nik AZMAN

    (School of Management, Universiti Sains Malaysia, 11800 Penang, Malaysia)

Abstract

In recent years, the tourism economy of Guangxi Zhuang Autonomous Region (hereinafter referred to as “Guangxi†), China, has been caught in the contradiction between infrastructure construction and natural environmental protection. By combing Guangxi’s tourism economy with its development path of smart long-term rental housing, this paper finds that the long-term rental market in Guangxi based on artificial intelligence (AI) technology can solve the development contradiction through accurate construction planning to improve efficiency. The long-term rental housing market in Guangxi has entered a low-carbon economy period since pilot programs were launched for the policy of managing public rental housing with AI and information technologies. From the perspective of AI, facts have proved that AI has the ability to re-adjust the competition order of an industry, which not only realizes the low-carbon development of the rental market, but also promotes the industrial upgrading of the tourist industry.

Suggested Citation

  • Dandan LI & Nik Hadiyan Nik AZMAN, 2022. "The Impact of Artificial Intelligence (AI) on the Low-Carbon Economy: A Prospective Study on the Long-Term Rental Housing Market in Guangxi, China," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 1-14, December.
  • Handle: RePEc:wsi:cjuesx:v:10:y:2022:i:04:n:s2345748122500245
    DOI: 10.1142/S2345748122500245
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    Cited by:

    1. Elena G. Popkova & Shakhlo T. Ergasheva & Nadezhda K. Savelyeva & Marija A. Troyanskaya, 2024. "Change Management for the Sustainable Development of the Agrarian Economy of Artificial Intelligence," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(1), pages 79-90, September.

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