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Spatial Matching Analysis and Development Strategies of County Night-Time Economy: A Case of Anning County, Yunnan Province

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  • Weiwu Wang

    (Institute of Urban and Rural Planning Theories & Technologies, Zhejiang University, Hangzhou 310058, China)

  • Lingjun Liu

    (Institute of Urban and Rural Planning Theories & Technologies, Zhejiang University, Hangzhou 310058, China)

  • Yuxin Yang

    (Institute of Urban and Rural Planning Theories & Technologies, Zhejiang University, Hangzhou 310058, China)

Abstract

The Chinese government regards the night-time economy as one of the essential means to expand domestic demand and enhance sustainable economic development. Scientifically choosing the night-time economic development path of the suburban counties of the Chinese metropolis (SCCM) and proposing a reasonable spatial matching planning strategy is an urgent problem for Chinese local governments. This study takes Anning county, a suburban Kunming metropolitan area, as the research area. Using Python to capture multi-spatial data, such as POI and Baidu heatmap, we use ArcGIS spatial analysis and statistical tools to show the spatial distribution characteristics of the night-time economic formats in Anning County. At the same time, the spatial coupling coordination model is used to calculate the coupling coordination degree of the night-time economic formats distribution and comprehensive traffic distribution (D1), night-time economic formats distribution and night-crowd vitality (D2), and the spatial coupling coordination of the three (D3). It is divided into five spatial matching levels and analyzes the shortage of night-time economic development in each subdistrict. The research results show that the spatial development of the night-time economy in Anning county is unbalanced at the current stage. The northern part of the county has a good development trend, and the Lianran subdistrict has the highest coupling coordination degree (0.995). In contrast, the southern part of the county has the lowest coupling coordination degree due to a lack of economic formats and traffic restrictions (0.115). According to the subdistricts’ differences, the sustainable development strategy of the county’s night-time economy should be formulated from the perspective of the long-term development of metropolitan areas. We hope that this research can provide valuable inspiration and a development reference for relevant countries and regions to stimulate the sustainable power of the night-time economy.

Suggested Citation

  • Weiwu Wang & Lingjun Liu & Yuxin Yang, 2022. "Spatial Matching Analysis and Development Strategies of County Night-Time Economy: A Case of Anning County, Yunnan Province," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:4891-:d:796963
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    References listed on IDEAS

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    1. Hélder da Silva Lopes & Paula C. Remoaldo & Vitor Ribeiro & Javier Martín-Vide, 2021. "Effects of the COVID-19 Pandemic on Tourist Risk Perceptions—The Case Study of Porto," Sustainability, MDPI, vol. 13(11), pages 1-29, June.
    2. Joanna Kowalczyk-Anioł & Marek Grochowicz & Robert Pawlusiński, 2021. "How a Tourism City Responds to COVID-19: A CEE Perspective (Kraków Case Study)," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
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    Cited by:

    1. Nguyen Thi Phuong Thu & Le Mai Huong & Vu Ngoc Xuan, 2022. "Factors Affecting Environmental Pollution for Sustainable Development Goals—Evidence from Asian Countries," Sustainability, MDPI, vol. 14(24), pages 1-14, December.
    2. Shunlin Wang & Yifang Chen, 2022. "Consumption Coupons, Consumption Probability and Inventory Optimization: An Improved Minimum-Cost Maximum-Flow Approach," Sustainability, MDPI, vol. 14(13), pages 1-14, June.

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