Synergistic relationship or not? Understanding the resilience and efficiency of the tourism economy: evidence from Hainan Province, China

Abstract

The COVID-19 pandemic has dealt a serious blow to the global tourism industry, causing a fracturing of and decline in tourism development efficiency and even a stagnation of tourism development in some regions. To solve the contradiction between efficiency and quality, it is necessary to ensure the endogenous power of tourism resilience while pursuing the efficiency of tourism development. This study assumes that Hainan Province follows a tourism development path led by resilience. The improved weighting method, EBM model and Haken model are used to evaluate the level of resilience, the level of efficiency and their co-evolution. The findings indicate that the core tourism cities represented by Sanya and Haikou have a high level in the individual fields of tourism development efficiency and tourism economic resilience but have limited performance in the synergistic relationship between tourism development efficiency and tourism economic resilience. In contrast, the marginal tourism cities represented by Tunchang County and Ledong County have low tourism development efficiency and resilience, but their synergistic development level is high. This result proves that co-evolution plays a dual forward and reverse driving role. Based on the identification of the order parameters, it is concluded that Hainan Province is characterized by a synergistic evolutionary synergy dominated by resilience, which is in line with the trend of social development and the sustainable development of tourism. While reasonably pursuing the tourism economy and development efficiency, we should pay attention to strengthening resilience construction based on multiple aspects, such as tourists, enterprises, organizations, governments and destinations.

A Study on the Coupling Coordination of Urban Resilience and the Tourism Economy in the Beijing–Tianjin–Hebei Region

“…At the same time, the intricate interactions between subsystems change dynamically over time. Zhang et al studied the synergistic relationship between the resilience and efficiency of the tourism economy using the coupled model [24]. Wang et al employed a coupled model integrating multi-indicator group evaluation and the entropy weight method to assess the synergy between tourist economic growth and urban ecological health in the M city cluster from 2009 to 2022 [25].…”

Spatio-Temporal Evolution and Driving Factors of Tourism Economic Resilience in the Yili River Valley

“…Based on the core essence of tourism economic resilience and referring to the existing relevant research results, this paper follows the principles of systematicity, scientificity and data availability, and constructs a tourism economic resilience level evaluation index system consisting of 22 indicators in four dimensions, namely defense ability [18], recovery ability [18], remodeling ability [18], and transformation ability [19] (Table 1). Defensive capacity refers to the degree of sensitivity and depth of reaction of the tourism economy in the face of internal and external risk perturbations.…”

Spatio-Temporal evolution of Tourism Economic Resilience and Its Driving Factors under the Perspective of Sustainable Development-The Case of Yili River Valley

“…Based on the core essence of tourism economic resilience and referring to the existing relevant research results, this paper follows the principles of systematicity, scientificity and data availability, and constructs a tourism economic resilience level evaluation index system consisting of 22 indicators in four dimensions, namely, defense ability [18], recovery ability [18], remodeling ability [18], and transformation ability [19] (Table 1). Defensive capacity refers to the degree of sensitivity and depth of reaction of the tourism economy in the face of internal and external risk perturbations, compared with the economy is a weaker region, the economic strength of the region with smaller losses [18], mainly including the tourism economic index [20] and tourism resources index [21]; recovery capacity to respond to the speed and degree of recovery of the tourism economy from the impact of risk fluctuations, this paper from the industrial economy and social economy considerations, the divided into tourism industry index and social economy index [22,23], reflecting the level of recovery of the tourism economy and the overall economy [24]; reshaping capacity refers to the degree of repositioning and adaptation of the tourism economy to cope with shocks, as reflected in the financial/capital index and the social consumption index [25][26][27]; transforming capacity represents the degree to which the tourism economy recovers its growth path or shifts to a new growth trend [28], the It mainly focuses on environmental improvement, tourism development potential, and tourism development dynamics [29][30][31], as shown in Figure 2.…”