Evaluation of Sustainable Development of Tourism Cities Based on SDGs and Tourism Competitiveness Index: Analysis of 221 Prefecture-Level Cities in China

Junli Gao,Sihan Chen,Zizhang Wei,Chaofeng Shao

doi:10.3390/su132212338

Abstract

Based on the Sustainable Development Goals and competitiveness index, an evaluation index system for sustainable development of tourism cities was established. The sustainable development level of 221 outstanding tourism cities in 2018 was evaluated, and their sustainable development paths were designed accordingly. The results show the following: (1) There is a large gap in sustainable development scores. In general, no city has achieved a strong sustainable development model. Natural and cultural resources and protection systems are the shortcomings of the systems. (2) The weights of natural and cultural resources and protection systems are the largest, and the weights of natural and cultural resources endowment, degree of tourism infrastructure construction, and economic support for natural and cultural resources are larger. Nature reserve coverage index, network popularity, and other indicators have greater weight. (3) There is a gap in the sustainable development level of tourism cities in the eight comprehensive economic zones. The economic zones in the eastern and southern coastal areas are better than those in the northwest and the middle reaches of the Yellow River. (4) The driving factors of the eight types of tourism cities distinguished by their characteristics are basically the same, but the obstacles are different.

Highlights

The global Agenda 21 points out that sustainable development indicators must be designated in order to provide a solid theoretical basis for decision makers at all levels and to promote an integrated and self-regulating capacity for sustainable development of the environment and development systems [1]
The above is a k-ary linear regression model, y is the explained variable, in this paper, it is the sustainable development level of tourism city; x is the explanatory variable, there are k explanatory variables, the explanatory variable in this paper is the sustainable development index of tourism city; β0 is the constant term of the regression model; β1, β2, . . . ., βk is the partial regression coefficient and ε is the random error of the regression model
The influence weights of A12 and A13 are 8.18 and 6.21%, respectively, showing the importance velopment index of tourism city; β0 is the constant term of the regression model; β1, β2

Summary

Introduction

The global Agenda 21 points out that sustainable development indicators must be designated in order to provide a solid theoretical basis for decision makers at all levels and to promote an integrated and self-regulating capacity for sustainable development of the environment and development systems [1]. In September 2015, the leaders of all UN member states adopted the 2030 Agenda for Sustainable Development in the form of Sustainable Development Goals (SDGs). There is growing recognition of the importance of implementing the United Nations 2030 Agenda for Sustainable Development Goals and achieving the SDGs at the local level [4]. Achieving these global aspirations requires local commitment and action by local governments [5]

Methods

Results

Conclusion