Spatial spillover effects and tourism-led growth: an analysis of prefecture-level cities in China

Shi-tai, Jiao; Gong, Weijin; Zheng, Yanqiao; Zhang, Xiaoqi; Hu, Songmei

doi:10.1080/10941665.2019.1630454

Cited by 18 publications

(10 citation statements)

References 30 publications

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“…The econometric results evidence a direct impact (β 1 > 0) of LAT it on LGDP it, validating the TLGH (Jiao et al 2019;Mitra 2019;Etokakpan et al 2019; Balsalobre-Lorente Besides, the empirical output also confirms a positive (β 2 > 0) linkage between energy use (LELC it ) and economic growth. The connection between FDI and economic growth presents a positive sign (β 3 > 0), revealing that the foreign industry enhances the host economic systems (Li et al 2017).…”

Section: Empirical Methodology and Econometric Resultssupporting

confidence: 65%

“…Hence, the empirical results will provide evidence of the positive effect of air transport as a proxy of international tourism on economic growth. This study also considers energy production, FDI and urbanization process an essential control variable for policy construction after the previous studies (Dogru and Bulut 2018;Hu et al 2019;Balsalobre-Lorente et al 2021a).…”

Section: Empirical Methodology and Econometric Resultsmentioning

confidence: 99%

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Designing policy framework for sustainable development in Next-5 largest economies amidst energy consumption and key macroeconomic indicators

Bekun

Adedoyin

Balsalobre‐Lorente

et al. 2021

Environ Sci Pollut Res

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Global travel and tourism have enjoyed a significant boost due to the progress in air transport. However, the debate on air transport and the influx of foreign investments and global energy demand on economic development remains questionable. Therefore, this study is an attempt to contribute to the body of knowledge in the energy-tourism-led growth hypothesis literature. For this purpose, a novel approach to the effects of international tourism on economic growth is introduced for the Next-5 largest economies, namely (China, India, Indonesia, Turkey and the USA) between 1990 and 2018. Empirical results reveal a positive connection between foreign direct investment and income levels, electricity production and income levels, as well as between urbanization and economic growth. Moreover, the validation of the environmental Kuznets curve and the halo effect of foreign direct investment on the environmental degradation process provides a shred of more substantial evidence and fitting environmental instruments for policymakers. The empirical results encourage sustainable economic growth in these countries, mainly through the attraction of clean and high-technology foreign investment, the increase of the share of renewable energy sources in the energy mix and the regulation in the tourism industry. The novel contribution of this study to the empirical literature is the unification in the same research of the TLGH and the EKC for the Next-5 largest economies, establishing recommendations for tourism, energy efficiency and environmental correction process.

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Section: Empirical Methodology and Econometric Resultssupporting

confidence: 65%

Section: Empirical Methodology and Econometric Resultsmentioning

confidence: 99%

Designing policy framework for sustainable development in Next-5 largest economies amidst energy consumption and key macroeconomic indicators

Bekun

Adedoyin

Balsalobre‐Lorente

et al. 2021

Environ Sci Pollut Res

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“…We believe that both economic growth and tourism development are evolving dynamically, but most of the existing literature adopts ordinary panel regression or causality tests. Although some studies consider spatial factors, they often adopt the static spatial panel (see Jiao et al, 2019; Ma et al, 2015), which does not fully consider the spatial lag and time lag effects of tourism development. Recently, even though Eleftheriou and Sambracos (2018) reconsidered the tourism–growth nexus utilizing a dynamic SAR model to measure the spillover effects above effects in 49 Greek prefectures, we think the method setting requires further improvement by applying the more general spatial Durbin model (SDM) on a smaller scale.…”

Section: Introductionmentioning

confidence: 99%

“…Third, introducing lagging explanatory variables as independent variables into the model and incorporating those that are not included in the econometric model to strip the impact of hidden factors on economic growth make the model’s estimates more accurate. Furthermore, most studies explore the relationship between total tourism or inbound tourism and economic growth (Dogru and Bulut, 2018; Habibi et al, 2018; Jiao et al, 2019) on a national scale and focus less on the impact of domestic tourism on economic growth. Notably, the impact of domestic tourism on economic growth is different from that of inbound tourism, and research should examine the effects of both.…”

Section: Introductionmentioning

confidence: 99%

Effects of tourism development on economic growth: An empirical study of China based on both static and dynamic spatial Durbin models

et al. 2021

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This study applies the dynamic spatial Durbin model (SDM) to explore the direct and spillover effects of tourism development on economic growth from the perspective of domestic and inbound tourism. The results are compared with those from the static SDM. The results support the tourism-led-economic-growth hypothesis in China. Specifically, domestic tourism and inbound tourism play a significant role in stimulating local economic growth. However, the spatial spillover effect is limited to domestic tourism, and the spatial spillover effect of inbound tourism is not significant. Furthermore, the long-term effects are much greater than the short-term impact for both domestic and inbound tourism. Plausible explanations of these results are provided and policy implications are drawn.

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“…As asserted by Brau et al (2007), people have repeatedly highlighted the importance of tourism for economic growth, hence numerous scholars have investigated the relationships between both tourism and economic growth (e.g. Antonakakis et al, 2019; Aratuo and Etienne, 2019; Aratuo et al, 2019; Balaguer and Cantavella-Jorda, 2002; Belloumi, 2010; Çalışkan et al, 2019; Chou, 2013; Dritsakis, 2012; Faber and Gaubert, 2019; Fayissa et al, 2008; Jiao et al, 2019; Lee and Chang, 2008; Narayan et al, 2010; Oh, 2005; Yazdi, 2019). A dominant view is that tourism has a significant long-term positive impact on economic growth (e.g.…”

Section: Introductionmentioning

confidence: 99%

Tourism, economic growth, energy consumption, and CO2 emissions in China

Zhang

2020

Tourism Economics

120

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In this article, we for the first time applied the vector error correction model (VECM) Granger causality approach to investigate the short-run and long-run causal relationships among tourism, economic growth, energy consumption, and carbon dioxide (CO2) emissions for 30 Chinese provinces over the period 2000–2017. The results implied that the analyzed variables became stationary at their first differences. The panel cointegration tests indicated the presence of a long-term equilibrium relationship among these four analyzed variables. Results from the VECM Granger causality tests suggested that the bidirectional short-term causalities were statistically confirmed between gross domestic product (GDP) and tourism. Additionally, we found that some unidirectional short-run causalities existed running from energy consumption to other analyzed variables and bidirectional long-run causalities existed between CO2 emissions and GDP, CO2 emissions and tourism, and GDP and tourism. Moreover, we also found the existence of unidirectional long-term causalities running from energy consumption to other analyzed variables. Based on these findings, we highlighted some key policy implications to develop China’s sustainable tourism.

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Spatial spillover effects and tourism-led growth: an analysis of prefecture-level cities in China

Cited by 18 publications

References 30 publications

Designing policy framework for sustainable development in Next-5 largest economies amidst energy consumption and key macroeconomic indicators

Designing policy framework for sustainable development in Next-5 largest economies amidst energy consumption and key macroeconomic indicators

Effects of tourism development on economic growth: An empirical study of China based on both static and dynamic spatial Durbin models

Tourism, economic growth, energy consumption, and CO2 emissions in China

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