A study on the Economic Development Model of Rural B&B under the Perspective of Public Governance: Construction and Evaluation
DOI: 10.23977/pree.2024.050210 | Downloads: 17 | Views: 394
Author(s)
Shuai Zhang 1, Guojiao Zhang 1, Chunyan Zhou 1
Affiliation(s)
1 Rural Economic Development, College of Humanities and Social Sciences, Yunnan Agricultural University, Kunming, 650201, China
Corresponding Author
Shuai ZhangABSTRACT
This study aims to examine the construction and evaluation of an economic development model for rural lodging, focusing on the perspective of public governance. Given the research background, rural lodging is an emerging economic model that significantly contributes to promoting rural economic development and improving farmers' income. The research utilizes a literature review method to comprehensively analyse the current research status of economic development in rural B&Bs. Moreover, it presents a model for rural B&B economic development from the perspective of public governance. The model takes into account the roles and relationships of diverse stakeholders, such as governments, enterprises, and social organizations. It further explores elements such as cooperation mechanisms and resource coordination. Additionally, this study establishes an assessment indicator system that covers economic, social, and environmental benefits. In conclusion, this study provides valuable theoretical and practical insights for constructing and evaluating the economic development model of rural lodging from the perspective of public governance. It contributes to promoting the sustainable development of the rural lodging economy, fostering economic prosperity, and driving social progress in rural areas.
KEYWORDS
Public governance perspectives; rural lodging economy; rural tourism; lodging economy; assessment indicators; rural economic developmentCITE THIS PAPER
Shuai Zhang, Guojiao Zhang, Chunyan Zhou, A study on the Economic Development Model of Rural B&B under the Perspective of Public Governance: Construction and Evaluation. Population, Resources & Environmental Economics (2024) Vol. 5: 99-106. DOI: http://dx.doi.org/10.23977/pree.2024.050210.
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