scholarly journals Vulnerability Assessment and Spatiotemporal Differentiation of Provinces Tourism Economic System Based on the Projection Pursuit Clustering Model

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaohong Yu ◽  
Haiyan Xu ◽  
Shengqiao Wang
Keyword(s):  
Vulnerability Assessment ◽  
Projection Pursuit ◽  
Indicator System ◽  
Tourism Industry ◽  
Spatiotemporal Distribution ◽  
Distribution Characteristics ◽  
The West ◽  
Railway Network ◽  
Clustering Model ◽  
Tourism Economy

The vulnerability assessment indicator system (VAIS), including the tourism economic sensitivity and respondence, is modified and established in this paper. According to the collected data, during 2014–2018 of the 31 provinces of China, of the tourism economy sensitivity and respondence, the improved comprehensive evaluation projection pursuit clustering (PPC) model is established, and the vulnerability indexes of the 31 provinces are calculated, thus expanding the tourism economic vulnerability assessment methods. Our empirical results show that, during the period of 2014 to 2018, the sensitivity, the respondence, and the vulnerability indexes are unbalanced overall. The tourism economy sensitivity and the respondence show that the spatiotemporal distribution characteristics are high in the east and low in the west. On the contrary, as for the vulnerability, the spatiotemporal distribution characteristics are low in the east and high in the west. Among the 40 indicators, the ratio of industrial solid waste utilized (%), urbanization rate, and the density of grade highway and railway network (km/km2) have the greatest impact on the respondence, while the proportion of the population affected by natural disasters, the diversification index of industrial structure, and the number of traffic accident casualties have the most significant impact on the sensitivity, which are the indicators that have the greatest impact on vulnerability. Therefore, in order to effectively reduce sensitivity, improve respondence, and thus reduce the vulnerability index of the tourism economy, the provinces should first improve the above-mentioned evaluation indicators with the largest weights. Our research results in this paper enrich the theory of sustainable development of the tourism industry and derive managerial and policy insights for further achieving the high-quality development of the tourism economy.

scholarly journals Tourism-Related CO2 Emission and Its Decoupling Effects in China: A Spatiotemporal Perspective

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Zi Tang ◽  
Shizhen Bai ◽  
Changbo Shi ◽  
Lin Liu ◽  
Xiaohong Li
Keyword(s):  
Climate Change ◽  
Economic Growth ◽  
Co2 Emission ◽  
Rapid Development ◽  
Tourism Industry ◽  
Annual Growth Rate ◽  
The West ◽  
The Sustainable Development ◽  
Tourism Economy ◽  
Coastal China

The rapid development of the tourism industry has been accompanied by an increase in CO2 emissions and has a certain degree of impact on climate change. This study adopted the bottom-up approach to estimate the spatiotemporal change of CO2 emissions of the tourism industry in China and its 31 provinces over the period 2000–2015. In addition, the decoupling index was applied to analyze the decoupling effects between tourism-related CO2 emissions and tourism economy from 2000 to 2015. The results showed that the total CO2 emissions of the tourism industry rose from 37.95 Mt in 2000 to 100.98 Mt in 2015 with an average annual growth rate of 7.1%. The highest CO2 emissions from the tourism industry occurred in eastern coastal China, whereas the least CO2 emissions were in the west of China. Additionally, the decoupling of CO2 emissions from economic growth in China’s tourism industry had mainly gone through the alternations of negative decoupling and weak decoupling. The decoupling states in most of the Chinese provinces were desirable during the study period. This study may serve as a scientific reference regarding decision-making in the sustainable development of the tourism industry in China.

scholarly journals Design of Tourism Cultural and Creative Products Based on Regional Historical and Cultural Elements

2021 ◽  
Vol 251 ◽  
pp. 03004
Author(s):  
Yinglu Wu
Keyword(s):  
Value Added ◽  
Field Research ◽  
Tourism Industry ◽  
Creative Design ◽  
Analytic Hierarchy ◽  
Cultural Elements ◽  
Tourism Resources ◽  
Historical Culture ◽  
Creative Products ◽  
Tourism Economy

Regional historical culture is a special cultural system gradually formed after a long period of historical accumulation, which integrates regional cultural characteristics and spiritual connotations. Tourism cultural and creative products are high value-added industries in the tourism industry, and there is a lack of regional, historical and cultural element characteristics in some designs. Incorporating historical and cultural elements into the design of cultural and creative products, combining regional tourism resources with cultural and creative design, and imparting regional era characteristics to tourism projects, can promote the development of tourism, cultural and creative design industry and tourism economy. How to use regional historical and cultural elements in the design of tourism cultural and creative products has become an important research content of tourism cultural and creative product design. In this paper, the design of tourism cultural and creative products is the research content, using field research, questionnaire survey, analytic hierarchy and other methods, based on regional historical and cultural elements, to explore the design methods of tourism cultural and creative products.

scholarly journals The challenges of developing small tourism enterprises in townships: case of Umlazi, South Africa

2016 ◽  
Vol 14 (1) ◽  
pp. 201-205
Author(s):  
Nsizwazikhona Simon Chili ◽  
Simiso Lindokuhle Mabaso
Keyword(s):  
South Africa ◽  
South African ◽  
Local Economic Development ◽  
Tourism Industry ◽  
Small Scale ◽  
Elite Group ◽  
Global Tourism ◽  
Tourism Enterprises ◽  
Township Tourism ◽  
Tourism Economy

Township tourism in South Africa has grown in popularity since 1994 and is considered by some researchers to be an appropriate mechanism for stimulating local economic development. Opportunities for the development of black-owned enterprises in South Africa began for the first time when the country integrated into the global tourism economy after many years of international sanctions. The growth of township tourism thus can provide the context for potential economic opportunities for local entrepreneurs to enter the business, an activity that traditionally has been the domain of established white South African entrepreneurs. The main objective of the study is to present findings on the challenges that face a certain group of small tourism enterprises in townships with more attention being specifically paid to Umlazi as the second biggest township in the Southern hemisphere. The main reason for the choice of the study is due to the fact that there is only a limited literature that explores the conditions of small-scale and informal tourism entrepreneurs operating in South Africa’s black townships. The focus falls upon the challenges of developing small tourism entrepreneurs for black owners in the township, especially because South African tourism industry is highly concentrated and dominated by small elite group of large, mostly locally owned, tourism organizations which drive the tourism economy that unfortunately excludes and sidelines that of the townships

scholarly journals Evaluation of Airport Environmental Carrying Capacity: A Case Study in Guangzhou Baiyun International Airport, China

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lili Wan ◽  
Qiuping Peng ◽  
Tianci Zhang ◽  
Zhan Wang ◽  
Yong Tian
Keyword(s):  
Carrying Capacity ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Projection Pursuit ◽  
Indicator System ◽  
Development Mode ◽  
The Sustainable Development ◽  
International Airport ◽  
Environmental Carrying Capacity

In order to clarify the comprehensive operational capabilities of the airport and better plan the sustainable development mode of the airport, this paper studies the evaluation method of airport environmental carrying capacity. First, this paper proposes the concept of airport environmental carrying capacity by taking into account the complex characteristics of airports affected by multiple factors and then selects 16 representative evaluation indicators to construct an indicator system based on the Driving Force-Pressure-State-Response (DPSR) framework. Finally, the accelerated genetic algorithm-projection pursuit model is established to model a comprehensive evaluation index, which is used to calculate the airport environmental carrying capacity (AECC). The results of the case study show that the AECC of Guangzhou Baiyun International Airport (CAN) decreased year by year from 2008 to 2017, which is in line with the coordinated development level of CAN. By analysing the changing mechanism of AECC and indicators, we get 6 key influencing indicators that led to the continuous decline of AECC and put forward some political suggestions to improve the AECC.

Spatiotemporal distribution characteristics of the fog regions in China

2006 ◽  
Vol 16 (3) ◽  
pp. 346-354
Author(s):  
Liping Wang ◽  
Shaoyong Chen ◽  
Anxiang Dong ◽  
Lianchun Song
Keyword(s):  
Spatiotemporal Distribution ◽  
Distribution Characteristics

The Influence of Uber on the Tourism Industry in Sub-Saharan Africa

2020 ◽  
pp. 004728752095163
Author(s):  
So Young Park ◽  
JunYun Kim ◽  
Bing Pan
Keyword(s):  
Propensity Score ◽  
Public Transportation ◽  
Tourism Industry ◽  
Sub Saharan Africa ◽  
African Countries ◽  
Difference In Differences ◽  
Successful Development ◽  
Public Transportation System ◽  
Sub Saharan ◽  
Tourism Economy

An unreliable and inefficient public transportation system can be a barrier to the successful development of a destination’s tourism industry. Uber, a convenient ride-hailing service, can complement underdeveloped public transport and play a significant role in stimulating the tourism economy by increasing tourists’ mobility and accessibility to attractions and service facilities. Using the data of 48 sub-Saharan African countries, this study conducted propensity score matching and difference-in-differences analysis to empirically examine the influence of Uber on a country’s tourism industry. The results showed that Uber contributed $20 million annually in total tourist spending—$24 per tourist spending—on average, to a country’s economy between 2013 and 2016. However, it did not have a significant influence on the number of international arrivals. The findings of this study provided insights into the benefits of Uber service in promoting per tourist spending by providing a reliable and efficient means of travel.

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