The Coupling Coordination Relationship between Tourism Competitiveness and Economic Growth of Developing Countries

Abstract

On the basis of the coupling coordination degree (CCD) model and information entropy weight method, this study examined the relationship between tourism competitiveness and economic growth of 56 developing countries from 2008 to 2017. The results show that: (1) the overall status of the CCD between tourism competitiveness and economic growth was in a state of unbalance that was mainly caused by the lag of economic growth, which demonstrates the important contribution of tourism in developing regions. (2) the CCD has been gradually improving since 2008, and the differences amongst the CCDs of developing countries have been shrinking and (3) the spatial distribution of the CCD between tourism competitiveness and economic growth has heterogeneity.

An Empirical Study on the Coupling Coordination Relationship between Cultural Tourism Industry Competitiveness and Tourism Flow

“…This study provides an examination of the relationship between cultural tourism industry competitiveness and tourism flow by developing a coupling coordination model; the conclusions reveal the coupling development state of the cultural tourism industry competitiveness and tourism flow in different periods in Henan Province. On the other hand, measuring tourism destination competitiveness is very difficult due to its complex and multidimensional nature [1,17]. Based on existing research [1,22,23,49,50], this study attempted to address this difficulty by constructing a cultural tourism industry competitiveness evaluation index from the cultural resource competitiveness, economic development support competitiveness, ecological environment competitiveness and basic guarantee competitiveness, including 31 secondary evaluation indexes.…”

“…As the growing importance of the tourism industry has continued to grow, the issue of the coupling and coordination relationship between tourism and other industries has received more attention from researchers. For example, Yu and Liu [16] built a comprehensive evaluation index of tourism demand and supply, and used the coupling coordination model to measure their coupling coordination development level; Wang and Liu [17] examined the relationship between tourism competitiveness and economic growth of 56 developing countries from 2008 to 2017; and Wu, Jiao, and Ye [18] and Guo,Mu,and Ming et al [19] analyzed the spatio-temporal characteristics of coordinated development between tourism economy and transportation. In summary, previous studies mainly focused on discovering the relationship between tourism and regional economies, tourism and environment, tourism and economic structure adjustment, etc.…”

Study of the Tourism Competitiveness Model of the World Economic Forum Using Rasch’s Mathematical Model: The Case of Portugal

“…However, tourism destinations need to make continuous efforts to maintain favorable competitive positions in the world tourism market [3,4,6]. These efforts are driven by the growing, global competition in the industry, increasing consumer demands and the appearance of new destinations [7][8][9]. Thus, it is necessary to understand how competitiveness is generated and consolidated.…”

“…Criticism of studies' simplistic nature is also related to the small number of variables included in certain studies [48,49]. Other authors comment that studies on the determinants of competitiveness in tourism lack applicability for policy formulation [8,50]. The criticisms have been particularly directed at the competitiveness model prepared by the WEF, its periodic TTCR-2019 and the TTCI indicator that the WEF elaborates [11,44,51].…”

La gestión de departamentos y destinos turísticos de Colombia según el Índice de Competitividad Turística Regional (ICTRC)

“…En las últimas décadas, el turismo ha venido ganando protagonismo como un sector esencial en la economía mundial y un catalizador del desarrollo humano a nivel global, permitiendo a los países diversificar su economía y mejorar sus tasas de empleo, ingresos y su balanza de pagos, impulsando con ello la transformación de sus condiciones socioculturales y económicas (Das & Dirienzo, 2009;Das & Dirienzo, 2012;Croes & Kubickova, 2013;Mihalic & Aramberri, 2015;Azzopardi & Nash, 2017;Nazmfar, Eshghei, Alavi & Pourmoradian, 2019;Wang & Liu, 2020).…”