Research uncovers challenges and opportunities in ground stall economy growth in Zibo City, suggesting strategies for improved urban governance.
In the context of promoting the modernisation of urban governance, the high-quality development of the ground stall economy, as an important livelihood economic form that activates domestic demand and promotes employment, is of great practical significance. This study takes Zibo City, Shandong Province, as a typical case, integrates the new public service theory and the resilient city theory to construct an analytical framework, and makes comprehensive use of the literature analysis method, field observation method, questionnaire survey method and case study method to systematically explore the current situation of the urban governance of the ground stall economy in Zibo City, its effectiveness, problems and their causes. The study finds that Zibo City has significantly improved its management effectiveness through policy untying, intelligent supervision, spatial governance innovation, industry association guidance and infrastructure improvement, and has successfully built the stall economy into an urban feature and cultural IP. however, the governance practice still faces the outstanding problems of poor hygiene, traffic congestion, noise nuisance, food safety hazards, insufficient protection of the rights and interests of the operators, and lack of standardised management. Problems. These problems are mainly due to the difficulties in regulating street stalls, limited enforcement power, lagging behind in updating laws and regulations, and insufficient collaborative governance concepts and practices. Based on this, this paper proposes the introduction of smart city management to improve the efficiency of supervision, the promotion of the integration of the stall economy and the Internet to expand channels, the scientific planning of fixed business areas to promote standardised management, and the enhancement of training and service protection for operators and other optimisation paths.
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Jiang et al. (2025) studied this question.
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