Trade facilitation promoted the inbound tourism efficiency in Japan

Tang, Rui

doi:10.1016/j.tmp.2021.100805

Cited by 22 publications

(22 citation statements)

References 26 publications

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“…The regression coefficient of trade openness (TO) was positive and passed a 1% significance level test, indicating that trade openness can significantly improve tourism efficiency in Gansu Province, which was consistent with the research of Chaabouni [ 7 ]. Tang [ 32 ] also got similar results with Japan’s 2011–2019 data. The improvement of trade openness can improve the ability of the local tourism market to absorb external resources, enhance the competitive advantage of the tourism business and improve tourism efficiency.…”

Section: Resultssupporting

confidence: 56%

“…Li and Liu [ 22 ] believed that the tourism industry agglomeration significantly impacts tourism efficiency. Tang [ 32 ] analyzed the internal relationship between Japan’s trade facilitation and inbound tourism efficiency and believed that trade facilitation promoted Japan’s inbound tourism efficiency. Chaabouni [ 7 ] considered that temperature, trade openness, and the number of hotels increased the tourism efficiency of China.…”

Section: Literature Reviewmentioning

confidence: 99%

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Exploring Tourism Efficiency and Its Drivers to Understand the Backwardness of the Tourism Industry in Gansu, China

Xue

Ahmad

et al. 2022

IJERPH

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Gansu Province is rich in tourism resources, and it is the hometown of the “copper galloping horse”, which is the logo of China’s tourism. However, the scale and revenues of tourism in Gansu province are still at a low level. This paper first evaluated the tourism efficiency of 14 cities and prefectures of Gansu Province in China from 2011 to 2019 using the super-slack-based measure (Super-SBM) and then investigated the internal driving mechanism of the efficiency change through the Global Malmquist-Luenberger (GML) index and its decomposition, and finally analyzed the external influencing elements of tourist efficiency by the Tobit model. The results revealed that the tourism efficiency of Gansu Province had increased rapidly during the study period, especially after 2016, the rising range increased. From 2011 to 2019, the cumulative changes in GML index, technological change (TC), and efficiency change (EC) of tourism efficiency in Gansu Province were 5.053, 4.145 and 1.160, respectively, indicating that the improvement of tourism efficiency in Gansu province is mainly due to technological progress. The regression results of the Tobit model show that the status of the tourism industry, trade openness, information level, and technological innovation level can significantly promote tourism efficiency in the province. At the same time, upgrading the industrial structure and the improvement of greening coverage inhibit tourism efficiency. However, the impact of the economic development level on the tourism efficiency of Gansu Province is not apparent. According to the research results, this paper puts forward corresponding suggestions to promote the development of tourism in Gansu Province. This study is crucial for hospitality, tourism, and policy sectors to understand the underlying factors and promote the healthy development of the tourism industry in Gansu Province.

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Section: Resultssupporting

confidence: 56%

Section: Literature Reviewmentioning

confidence: 99%

Exploring Tourism Efficiency and Its Drivers to Understand the Backwardness of the Tourism Industry in Gansu, China

Xue

Ahmad

et al. 2022

IJERPH

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“…Tourism development has multi-dimensional characteristics, and the driving factors of tourism efficiency are also various. Drawing lessons from the existing studies [ 38 , 39 , 40 , 41 , 42 , 43 , 44 ] and considering the availability of data, in this paper, we examined its impact on TE from ten aspects It is worth noting that the main tourist attractions of tourism destinations are landscape resources including natural and cultural landscapes, and the endowments of landscape resources in different provinces are different, and the corresponding input, development and utilization of landscape resources and the orientation of tourism development are also different. At the same time, the endowment characteristics of landscape resources also determine which state different tourism destinations are in, such as “high input-high output”, “high input-low output” or “low input-high output”.…”

Section: Resultsmentioning

confidence: 99%

Evolution and Driving Factors of the Spatiotemporal Pattern of Tourism Efficiency at the Provincial Level in China Based on SBM–DEA Model

Gao

Shao

Chen

2022

IJERPH

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In order to give guidance to improve tourism competitiveness and sustainable development, it is particularly important to identify and analyze the factors and mechanisms that affect efficiency. The SBM–DEA model including undesirable outputs was used to measure the tourism efficiency of 30 provinces in China from 2006 to 2019. Combined with the compound DEA model, the sensitivity of each province to the fluctuation of the input–output index was mined. The exploratory spatial analysis method and fixed effect model were used to analyze the spatial change and driving factors of tourism efficiency. The results show that: (1) the tourism efficiency of each province in China fluctuated from 2006 to 2019, and the average value was raised from 0.12 to 0.71, generally reaching the grade of medium and high efficiency; (2) the spatial difference of tourism efficiency is significant, but there is no obvious spatial correlation; (3) the most important input factors to tourism efficiency are environmental resources, tourism resource inputs and tourism infrastructure construction, and tourism fixed asset investment is redundant. (4) Optimizing the industrial structure, strengthening the introduction of core technology, and continuously promoting the process of urbanization and marketization are important ways to improve the efficiency of tourism.

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“…This brings economic benefits to tourists. tourists and the community has brought sustainability to tourism in China (Stone & Wall, 2004), Sri Lanka (Wickramasinghe & Takano, 2009), and Japan (Tang, 2021). In addition, there should be specific plans and guidelines to support CBET sites to carry out activities aimed at developing criteria of sustainable tourist destinations, with special attention to environmental conservation, bringing about economic benefits to the community, and increasing the community's participation in ecotourism activities.…”

Section: Discussionmentioning

confidence: 99%

A multicriteria approach to assessing the sustainability of community-based ecotourism in Central Vietnam

Nguyen¹,

Hoang²,

Tân³

et al. 2022

APN SCI BULL

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Nature exploration, or ecotourism, has been an essential part of tourism, and today takes on a much broader meaning beyond tourism that includes conserving nature and culture and improving people’s lives, especially in the indigenous community. Community-based ecotourism (CBET) has specific benefits closely related to the sustainability of natural ecosystems and community development. CBET can be defined as nature-based tourism, helping shape the types of tourism services, planning and developing destinations provided by communities directly. CBET is supposed to be a sustainable alternative to mass tourism by its potential benefits in Vietnam. The study aims to evaluate the sustainability of four CBET destinations in Central Vietnam through a sustainable ecotourism index (SEI) formed by applying the Analytic Hierarchy Process (AHP) method. Based on the literature review, local people, and experts’ recommendations, a set of fourteen criteria categorized into five groups reflecting the critical attributes of the sustainable CBET that include environmental conservation, economic benefits, community participation, cultural preservation, and empowerment are analyzed. The raw data is obtained from in-depth interviews with 21 experts and 42 households. After normalizing, the results indicate that out of four CBET destinations, one is identified as high sustainability (SEI>4.2), two are neutral (3.4<SEI<4.2), and one is lower than (SEI<3.4). These findings provide implications for extending the AHP theory in tourism and policy implications toward sustainable development in future tourism.

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Trade facilitation promoted the inbound tourism efficiency in Japan

Cited by 22 publications

References 26 publications

Exploring Tourism Efficiency and Its Drivers to Understand the Backwardness of the Tourism Industry in Gansu, China

Exploring Tourism Efficiency and Its Drivers to Understand the Backwardness of the Tourism Industry in Gansu, China

Evolution and Driving Factors of the Spatiotemporal Pattern of Tourism Efficiency at the Provincial Level in China Based on SBM–DEA Model

A multicriteria approach to assessing the sustainability of community-based ecotourism in Central Vietnam

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