The effect of China's open-door tourism policy on Taiwan: Promoting or suppressing tourism from other countries to Taiwan?

Liou, Je‐Liang; Hsu, Pei-Chun; Wu, Pei‐Ing

doi:10.1016/j.tourman.2019.104055

Cited by 12 publications

(9 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Geographical Context and Main Research Topicsmentioning

confidence: 99%

“…On the one hand, American scholars were the first to publish papers using gravity models and they used data for the United States (Long, 1970; Quandt & Baumol, 1966; Quandt & Young, 1969). On the other, Chinese scholars have published very recent research on tourism demand using Chinese data (see for instance Liou et al., 2020; D. Xu & Dong, 2020). Furthermore, important tourist destinations such as Italy (seven papers), Spain (eight papers), and Turkey (six papers) are used as case studies to apply gravity models to tourism demand.…”

Section: Literature Selection and Datamentioning

confidence: 99%

See 1 more Smart Citation

Gravity models for tourism demand modeling: Empirical review and outlook

Nadal

Santana-Gallego

2022

Journal of Economic Surveys

View full text Add to dashboard Cite

Tourism demand and its determining factors have been extensively explored over the past decades. Traditionally, the study of tourism demand modeling had focused on the use of time series models and forecasting. Nonetheless, during the last years the literature has revived the approach of gravity models, centered on structural dimension as opposed to dynamic factors. This survey aims to provide a useful overview and detailed information that discipline the existing literature and help future researchers about this field. To do so, this study reviews 143 key published papers that apply a gravity equation framework to tourism demand revealing that it has been used mainly in the context of bilateral tourist movements. Results show how, although the list of determining variables of tourist flows can be very large, GDP, population and distance are the most preponderant ones. Moreover, there are important challenges to be addressed by researchers in terms of empirical application of structural gravity models to tourism.

show abstract

Section: Geographical Context and Main Research Topicsmentioning

confidence: 99%

Section: Literature Selection and Datamentioning

confidence: 99%

Gravity models for tourism demand modeling: Empirical review and outlook

Nadal

Santana-Gallego

2022

Journal of Economic Surveys

View full text Add to dashboard Cite

show abstract

“…However, inevitable trends in global urbanization, rapid urbanization and rural revitalization have remodelled the human environment and caused radical climate changes [ 4 , 5 ]. In particular, the implementation of high-speed rail transport in China has accelerated personnel flow and caused unpredictable problems [ 6 ], increasing the difficulty of COVID-19 prevention. It is well known that the occurrence of communicable diseases depends on three key factors: the infection source, the transmission route and the susceptible population [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal characteristics of the novel coronavirus attention network and its influencing factors in China

Guo

2021

PLoS ONE

View full text Add to dashboard Cite

The outbreak of a novel coronavirus pneumonia (COVID-19), wherein more than 200 million people have been infected and millions have died, poses a great threat to achieving the United Nations 2030 sustainable development goal (SDGs). Based on the Baidu index of ’novel coronavirus’, this paper analyses the spatial and temporal characteristics of and factors that influenced the attention network for COVID-19 from January 9, 2020, to April 15, 2020. The study found that (1) Temporally, the attention in the new coronavirus network showed an upward trend from January 9 to January 29, with the largest increase from January 23 to January 29 and a peak on January 29, and then a slow downward trend. The level of attention in the new coronavirus network was basically flat when comparing January 22 and March 4. (2) Spatially, first, from the perspective of regional differences, the network attention in the eastern and central regions decreased in turn. The network users in the eastern region exhibited the highest attention to the new coronavirus, especially in Guangdong, Shandong, Jiangsu and other provinces and cities. The network attention in Tibet, Xinjiang, Qinghai and Ningxia in the western region was the lowest in terms of the national network attention. Second, from the perspective of interprovincial differences, the attention in the new coronavirus network was highly consistent with the Hu Huanyong line of China’s population boundary. The east of the Hu Huanyong line is densely populated, and the network showed high concern, mostly ranking at the third to fifth levels. (3) The number of Internet users in the information technology field, the population, and the culture and age characteristics of individuals are important factors that influence the novel coronavirus attention network.

show abstract

“…2011). In 1979, real founder of China's economy, president Deng Xiaoping, introduced economic reforms' Open-Door Policy' in December 1978 (Liou et al, 2020). Thus, from 1980 to 2017, China's actual (GDP rose at an average annual rate of about 9.5%.…”

Section: Poverty In China and How Eradicating It?mentioning

confidence: 99%

Africa’s Poverty and Famines: Developmental Projects of China on Africa

Gul

Shabeer

Abbasi

et al. 2022

PJH

View full text Add to dashboard Cite

Poverty exists without any face; it is a multifaceted and complex phenomenon. Poverty and famines existed before human civilization and culture. Human culture existed 0.07 million years ago, and civilization began 6000 years ago. In a modern civilized society, ‘first famine in human history occurred in 1708 B.C. From 1708 BC to 1878 AD, 350 famines occurred in various spheres of the world. The Encyclopedia Britannica listed 31 main famines from prehistoric to the 1960s. The sub-continent has also faced eleven severe famines from 1769-70 to 1943, and about 40.9 million people have died due to these famines. Similarly, more than 2 billion people live below the poverty line. Besides, China left 800 million people due to ‘Open Door Policy’. Now she is changing the world's shape through BRI. Africa is a complex and perplexing region of the world. Because, Africa is facing all the root problems of the world, i.e., poverty, massive unemployment and income inequality, mono-culture political economy, border disputes, intra-state wars, and ethnic and lingual clashes. In the land of Africa, the first famine was recorded 2273 years ago in Ethiopia’. About 2,582 languages[i] and 1,382 dialects are found on the African continent. From 1945 to 1999, humanity faced 25 interstate wars, most of which occurred in Africa. Therefore, 127 civil wars happened among 73 states in the same era, and 16.2 million people died. The Export and Import Bank of China will spend 1US$ trillion on the African continent in 2025. [i] Language which is speaking in Africa, Arabic (170 million) English (130 million), Swahili (100), French (115), Berber (50), Hausa (50), Portuguese (20) and Spanish (10) (Spolsky, 2018)

show abstract

The effect of China's open-door tourism policy on Taiwan: Promoting or suppressing tourism from other countries to Taiwan?

Cited by 12 publications

References 27 publications

Gravity models for tourism demand modeling: Empirical review and outlook

Gravity models for tourism demand modeling: Empirical review and outlook

Spatio-temporal characteristics of the novel coronavirus attention network and its influencing factors in China

Africa’s Poverty and Famines: Developmental Projects of China on Africa

Contact Info

Product

Resources

About