2017
DOI: 10.1177/0047287516686725
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Revisiting the Tourism-Led Economic Growth Hypothesis: The Case of China

Abstract: This article examines the relationship between the level of tourism specialization (TS) and economic growth using a panel dataset covering 31 provinces in mainland China from 1995 to 2013. A quadratic function was introduced following the basic economic law of returns to overcome the weaknesses of constant returns to scale associated with the tourism-led economic growth hypothesis (TLGH). Using tourist arrivals as a percentage of host population (TA) and tourism receipts as a share of real GDP (TR) as the indi… Show more

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Cited by 124 publications
(95 citation statements)
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References 70 publications
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“…Unlike previous empirical studies applying panel causality tests to understand the tourism growth -economic expansion nexus across different groups (Lee and Chang 2008), our method is able to highlight individual factors that might be masked in the panel as a group. Also, different from past studies employing (dynamic) panel data model understanding TLG (Zuo and Huang 2018), our method gauged the TLG occurrence based on the first-step individual causality tests instead of the estimated coefficients from the regression, and therefore, its occurrence can be rigorously evaluated.…”
Section: Discussionmentioning
confidence: 99%
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“…Unlike previous empirical studies applying panel causality tests to understand the tourism growth -economic expansion nexus across different groups (Lee and Chang 2008), our method is able to highlight individual factors that might be masked in the panel as a group. Also, different from past studies employing (dynamic) panel data model understanding TLG (Zuo and Huang 2018), our method gauged the TLG occurrence based on the first-step individual causality tests instead of the estimated coefficients from the regression, and therefore, its occurrence can be rigorously evaluated.…”
Section: Discussionmentioning
confidence: 99%
“…This variable is included in the TLG and EDTG equations to test Hypotheses 2 and 6, respectively;  lnarea, the log of land area (in 10,000 km 2 ), which represents the land area of each region. This variable is included in the TLG equation to test Hypothesis 3;  lntour_GDP, the log of international tourism revenue relative to GDP, which represents the level of tourism specialization and tourism dependence (Zuo and Huang 2018). This variable is included in the EDTG equation to test Hypothesis 4.…”
Section: Bayesian Bivariate Probit Modelmentioning
confidence: 99%
“…He found that a positive relation between tourism development and economic growth for the ten countries showed substantial variation across countries. Zuo and Huang employed a system generalized method of moments (SYSGMM) to explore the non-linear relationship between tourism specializations and economic growth in the 31 provinces of mainland China [26]. The empirical results reveal that there is a meaningful N-shaped or inverted-U-shaped relationship between tourism specializations and economic growth.…”
Section: Tourism-led Growth Hypothesismentioning
confidence: 99%
“…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%
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