The Relationship Between International Tourism Activities and Economic Growth: Evidence from China’s Economy

Wu, Tsung-Pao; Wu, Hejun; Liu, Shubing; Hsueh, Shun-Jen

doi:10.1080/21568316.2017.1324809

Cited by 50 publications

(23 citation statements)

References 55 publications

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“…The relationship between RITRs and economic growth includes much research that attempts to identify the relationship. Many researchers argue that a positive relationship exists between tourism and economic growth (Kareem, 2013;Kumar, Loganathan, Patel, & Kumar, 2015;Lanza, Temple, & Urga, 2003;Lee & Brahmasrene, 2013;Lee & Kwon, 1995;Othman, Salleh, & Sarmidi, 2012;Pavlic et al, 2015;Samimi, Sadeghi, & Sadeghi, 2011;Suresh & Senthilnathan, 2014;Tugcu, 2014;Wu & Wu, 2016;Wu, Wu, Liu, & Hsueh, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Tourism and economic growth in Asia: A bootstrap multivariate panel Granger causality

2018

Journal of Tourism Research

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This work uses a multivariate panel Granger causality test to examine the causal relationship between real international tourism receipts and economic growth in 11 Asian regions for the period from 1995 to 2015, accounting for both dependency and heterogeneity across regions. The results of this study support evidence for the growth hypothesis in the regions, such as Cambodia, China, and Malaysia. A reverse relationship supports evidence on the conservation hypothesis for the regions, such as Hong Kong, Indonesia, the Philippines, and South Korea. A reciprocal causal relationship was found in Macau and Singapore.

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Section: Literature Reviewmentioning

confidence: 99%

Tourism and economic growth in Asia: A bootstrap multivariate panel Granger causality

2018

Journal of Tourism Research

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“…Many theories and models have been proposed, such as environmental Kuznets curve (EKC) [7][8][9], coordinated development theory [10], economic-energy-environmental impact model [11], decoupling theory [12][13][14] and coupling model [15]. With the rapid development of tourism, some scholars have begun to explore the relationship between tourism, the environment and the economy, such as the relationship between tourism and ecological environment [16][17][18][19][20][21][22][23], the relationship between economic development and tourism [24][25][26][27][28][29][30][31], and interactive relationship between the environment, economy and tourism [32][33][34][35][36]. For example, Pang et al found that the inbound tourism in eastern China has a significant impact on regional economic growth, and the growth of the inbound tourism in the eastern region is the Granger cause for the growth of its tertiary industry [25].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, Wei et al used mathematical concepts and tools to study the sustainable relationship between social ecosystems and regional tourism [34]. Wu et al studied the causal relationship between international tourism revenue and economic growth in 11 provinces in eastern China [35]. Using a combination of several quantitative methods (including parameter analysis, fuzzy classification, regression analysis and gray correlation), Lu et al evaluated the coordination development of the ecological environment, economic growth and the tourism industry at the provincial level and prefectural level of Gansu Province in China [36].…”

Section: Introductionmentioning

confidence: 99%

Coupling coordination between environment, economy and tourism: A case study of China

et al. 2020

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How to achieve the sustainable and coordinated development of the ecological environment, the economy and tourism has already received much attention. In this paper, a comprehensive evaluation index system of the ecological environment, the economy and tourism is established, and the coupling degrees and coordination degrees of the three subsystems of 31 provinces in China from 2003 to 2017 are calculated. The results show that the average coupling degree and average coordination degree have fluctuating upward trends during the period of 2003-2017. According to the spatial distribution of the coupling degrees and coordination degrees, the coastal provinces and Chongqing, with their high ecological environment pressure and good economic development, have low coupling and extremely high coordination levels. The vast central and western provinces with good ecological environment protection and economic backwardness have high coupling and low coordination development level. From the perspective of coordinated development, only seven of the western provinces and three middle-eastern provinces possess basic coordinated development of the ecological environment, the economy and tourism. The remaining 21 provinces are over-utilizing or sacrificing their ecological environments, among which eleven eastern provinces have an advanced economy or advanced tourism and five southwestern provinces with high tourism resource endowments have an advanced tourism.

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“…In tourism literature, the tourism-led growth hypothesis (TLGH) is mostly used to analyze the effect of tourism development on economic growth based on the country or region level. Scholars have recently extended the studies of TLGH to four main hypotheses: (1) Tourism-led growth hypothesis itself [21,25,26], (2) conservation hypothesis [21,25,26], (3) feedback hypothesis [21,27], and (4) neutrality hypothesis [21,25,28].…”

Section: Introductionmentioning

confidence: 99%

Threshold Effect of Tourism Development on Economic Growth Following a Disaster Shock: Evidence from the Wenchuan Earthquake, P.R. China

Zhang

2019

Sustainability

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To examine whether tourism can effectively stimulate economic growth following a disaster shock, we apply a panel threshold regression technique to test the threshold effect of tourism development on economic growth of the 36 Wenchuan earthquake-affected counties in 2008-2016. The empirical results using the panel fixed-effects model show that tourism significantly contributes to economic growth, supporting the validity of the tourism-led growth hypothesis (TLGH) for the disaster-affected destinations. The results of the panel threshold regression model also indicate a threshold effect of tourism development on economic growth, implying that counties with different conditions of tourism specialization and industrial structure experience different impacts on the tourism-growth nexus. Specifically, the estimated coefficients of tourism on economic growth decrease with the levels of tourism specialization and industrial structure exceeding the threshold value. Based on the Tourism Area Life Cycle theory (TALC), we further divide the 36 disaster-stricken counties into six types based on the evolution of tourism specialization: Exploration-stage type, involvement-stage type, transition-stage type, development-stage type, consolidation-stage type, and stagnation-stage type. The empirical findings and managerial implications discussed are generally applicable to policymakers seeking new ways to invigorate the economy in other disaster-affected destinations.Note: Notice of the State Council of China on printing and distributing the general plan for recovery and reconstruction after the Wenchuan Earthquake announced the 39 disaster-stricken counties of the Sichuan province that were seriously affected by the Wenchuan earthquake. They include:

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The Relationship Between International Tourism Activities and Economic Growth: Evidence from China’s Economy

Cited by 50 publications

References 55 publications

Tourism and economic growth in Asia: A bootstrap multivariate panel Granger causality

Tourism and economic growth in Asia: A bootstrap multivariate panel Granger causality

Coupling coordination between environment, economy and tourism: A case study of China

Threshold Effect of Tourism Development on Economic Growth Following a Disaster Shock: Evidence from the Wenchuan Earthquake, P.R. China

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