Marginal economic impacts of inbound tourism to Taiwan and policy evaluation†

This paper presents the economic impact estimation for international visitors to Taiwan using an Input–Output Model to demonstrate the differences of economic contribution by market segments. Economic impacts are compared based on visitor segments by country of residence and travel purpose. The results indicated that high spenders contributed two to three times more expenses in Taiwan than low spenders. In 2000–2001, excluding airfares, business visitors from North America (US$1,360), Japanese sightseers (US$1,323) and Singapore/Malaysia sightseers (US$1098) were the top three segments in terms of per person per trip expenditure, whereas tourists from Korea with a purpose of visiting friends and relatives spent approximately US$314 per party per trip. Type I multipliers on sales, personal income and value added were similar across all visitor segments. Type I jobs to sales multiplier, however, had stronger variation by segments, depending on the relative composition of different items/services that visitors consumed during the trip. Policy implications are proposed for the Taiwan national tourism policy, “Doubling Tourist Arrivals Plan”, which aimed to increase inbound tourism from 2.7 million person visits in 2002 to 5 million person visits by 2008. It is suggested that multiple indicators, such as length of stay, segment shares, and daily spending by individual visitor segments, should be concurrently incorporated in the policy formulation and evaluation process. Relying on one measurement objective, such as 5 million yearly visits, is inadequate in determining the overall achievement and efficiency of tourism policies.     

The dynamics of tourism’s carbon footprint in Beijing,China

Abstract

Beijing is an important hub for global tourism, but the extent of tourism’s contribution to Beijing’s carbon footprint remains unclear. We integrated an environmentally extended multiregional input–output model and the tourism satellite account in a study to estimate the dynamics of Beijing’s tourism-related carbon footprint in the post-financial crisis period. Our findings indicate that from 2007 to 2012, whereas the carbon footprint of inbound tourists in Beijing steadily decreased, that of domestic tourists increased. The composition of carbon footprints for the consumption activities of inbound and domestic tourists differed substantially. We also traced the spatial distribution of carbon sources associated with tourism consumption in Beijing. In light of our findings, we offer recommendations to target the adoption of low-carbon consumption patterns by domestic tourists, and energy optimization of service suppliers by increasing energy use efficiency and the renewable energy ratio. In addition, we recommend that public and government should seek to lower energy costs and reduce carbon emissions throughout the life cycle of commodities. We conclude that the government and tourism authorities should actively promote carbon and wider environmental awareness, and that producers must seek to improve the efficiency of their energy use by reducing carbon emissions at source.     

Explaining regional economic multipliers of tourism: does cross-regional heterogeneity exist?

This study investigates the determinants of tourism-related economic multipliers, which are calibrated from regional input–output tables of 30 Chinese provinces. Several latent class regression models are applied to capture cross-regional heterogeneity and investigate the determinants of output, income, and employment multipliers. Results indicate that the level of economic development is positively associated with output multiplier, and it is also positively associated with employment multiplier when the multiplier is large. Moreover, the size of tourism economy is negatively associated with employment multiplier when the multiplier is small. Some policy implications are presented based on empirical results.     

Estimating the Economic Impact of Convention and Exhibition Businesses,Using a Regional Input–Output Model: A Case Study of the Daejeon Convention Center in South Korea

Past research on the economic impact of convention and exhibition businesses has neglected disaggregated expenditures of these consumer groups. The primary reason for this neglect is that estimating the economic impacts of these businesses is complicated and requires comprehensive surveys of various consumer groups. Thus, this study estimated expenditures based on surveys to different consumers such as convention and exhibition visitors, convention and exhibition organizers, and exhibitors. This study also employed a regional input–output (I–O) model and then matched the types of expenditure patterns with the I–O table. Survey results show that exhibition visitors spent the largest amount (US$153 million), followed by convention attendees (US$48 million), convention organizers (US$47 million), exhibition organizers (US$3.3 million), and exhibitors (US$2.8 million). The results of the I–O model indicate that the Daejeon Convention Center generated US$488 million of output impact, US$102 million of income impact, US$233 million of value added impact, and 10,211 jobs.     

Quantifying Spanish tourism's carbon footprint: the contributions of residents and visitors: a longitudinal study

This paper develops and explains an input–output model to quantify the carbon footprint linked to residents' and visitors' tourist consumption in the Spanish economy between 1995 and 2007, thus offering a rare longitudinal review of a national carbon footprint. Two measures are calculated: a domestic one similar to the producer responsibility criterion and a total measure that includes imported intermediate and final goods, similar to the consumer responsibility measure. The important role of tourism in Spain explains why its domestic carbon footprint represented 10.6% of total CO₂ emissions in 2007. Visiting tourists represented 47% of this figure, households 36%, business tourism represented 14% and public administration expenditures 3%. By industry, transport (26%) was positioned as the highest emitter in 2007, with hotels and restaurants the second (21%) (benefitting indirectly from energy and environmental efficiency improvements over the period). The Spanish reliance on imported oil products and the growing importance of foreign-based air services has caused the total carbon footprint of tourism to increase by more than 100%. Therefore, climate change mitigation plans must include imports, and action must take place through the whole global production chain and in the transport sector, particularly air transport. Future mitigation policies are discussed.     

Scenario analysis of tourism's water footprint for China's Beijing–Tianjin–Hebei region in 2020: implications for water policy

Based on the life cycle footprint analysis method, this paper undertakes a comprehensive assessment of tourism-related direct and indirect water consumption under four counterfactual tourism scenarios in China's Beijing–Tianjin–Hebei metropolitan region (Jing-Jin-Ji), which has been increasingly constrained by extreme water stress. Food consumption appears to have a major impact on the tourism water footprint (WF) such that high calorie-dominated diets are nearly five times more water intensive than vegetable diets for a typical foreign tourist. It is necessary to design specific policy to improve water-use efficiency in upstream agricultural production, in parallel with reduced high-calorie food intake in tourism products supply. Furthermore, transport mode is found to have significant impacts on domestic tourist WF due to the stark variation in water embodied in upstream fuel production and supply. Forecasts for tourism's WF under low and high scenarios suggest that tourism may account for a considerable proportion of total water use in Jing-Jin-Jiby 2020. Specifically, tourism patterns appear to be a determining factor influencing water consumption across different scenarios. It is argued that water policy needs to emphasise water-use efficiency to raise awareness of tourist WF by differentiating water prices for various purposes and segments of the tourism consumer market.     

Measuring the economic impacts of major sports events: the case of Formula One Grand Prix (F1)

This study was examined the new money generated from Formula One Grand Prix (F1) and the economic impacts of this new money on the host economy using input–output analysis. We find that the impact of the new money from non-local attendees or international attendees is more pronounced compared to that from local attendees. Also, F1 event appears to influence on sports-related industry as well as other industries such as manufacturing industry. Our findings suggest that the host cities should focus on increasing the non-local and international attendees in order to enhance the economic impacts of a sport event.     

An integrated approach for spatial analysis of the coupling relationship between tourism footprint and environment in the Beijing–Tianjin–Hebei region of China

This study aims at examining the spatial relationship between tourism footprint network and comprehensive environment which contains economic, social and ecological environment. The integrated approach combining network analysis and the coupling coordination degree model with spatial autocorrelation analysis was developed to analyze the network structure of regional tourism footprint, to evaluate the coupling coordination degree of tourism footprint network and comprehensive environment, and to explore the spatial pattern of the coupling coordination development. Data were collected from the Beijing–Tianjin–Hebei region of China. The results revealed that tourism footprints were concentrated in a few cities, and the regional coupling coordination degree showed a weak negative spatial autocorrelation. Beijing, Tianjin and Baoding had high agglomeration, while their spillover effect is not significant. Shijiazhuang and Qinhuangdao located in the High–Low area are potential growth poles. Findings indicate the integrated approach established is objective and effective, and contributes to macro policy-making of regional tourism development.     

Drivers of Taiwan’s Tourism Market Cycle

This paper examines the business cycle of tourism market (BCTM) in Taiwan. It begins by studying the BCTM based on a Markov regime-switching (MRS) model. The MRS model reveals strong evidence of a regime-switching BCTM with two distinct regimes: a high-growth regime (HGR) and a low-growth regime (LGR), over the period from 1st quarter of 1969 to 1st quarter of 2011. The second step is to examine the driving forces of the BCTM. Specifically, the study identifies the factors that cause the tourism market to stay in the high-growth regime (HGR). Test results show that the growth rate of gross domestic product (GDP), growth rate of exports, and inflation rate are significant drivers of the BCTM in Taiwan.     

Economic impact of cruise activity: the case of Barcelona

ABSTRACT

This article shows the methodology and the main figures of the local and regional economic impact generated by cruise activity. This article is pioneering in combining different issues: estimating the impact of the cruise port activity, presenting these impacts disaggregated at a sectoral level, using a rigorous methodology and carrying out extensive fieldwork. It is demonstrated that all sectors, not just traditional tourism-related sectors, benefit from cruise tourism. In order to test and apply our methodology we focus the analysis on the Port of Barcelona, which has become the leading cruise port in the Mediterranean area.     

Short-haul city travel is truly environmentally sustainable

With rising interest in and concern about climate change and environmental sustainability, and the significance of the tourism industry worldwide, the impact of tourism-related activities and behaviors on the environment has become a key area of research. In particular, transport related to tourism has come under scrutiny for its contribution to the ecological footprint of tourism of a destination, mostly accounted for by the dominance of air travel. This study contributes to research in this area by identifying the types of travel situations in which tourists make environmentally friendly choices about travel modes and, consequently, which types of tourism destinations should seek to develop and promote in order to minimize the environmental impact of the tourist sector on both an individual destination and global scale.     

Tourism climate information based on human thermal perception in Taiwan and Eastern China

Human thermal perceptions are closely related to success in the tourism sector. However, a single climatic parameter or thermal index based on empirical equations cannot fully assess the thermal conditions at tourist destinations. While examining Taiwan and Eastern China, this study attempts to determine tourist thermal perceptions based on physiologically equivalent temperature (PET) and thermal comfort classifications (TPCs) for temperate and (sub)tropical regions. Seasonal distribution maps of PET indicate that Taiwan and Eastern China are perceived as comfortable during spring and autumn for those residing in temperate regions, while only the southern region during spring and the northern region during summer are perceived as comfortable for those residing in (sub)tropical regions. Furthermore, the annual thermal comfort distribution (ATCD) is determined to identify comfortable months for 20 tourist destinations. The PET frequencies, which are calculated using hourly climate data, describe climate variability and change. This climate information will prove useful to tourism authorities, travel agencies, resorts and tourists.     

How can Taiwan create a niche in Asia's cruise tourism industry?

Cruise tourism is a significant growth trend in Europe and America. However, in recent years, it has gradually gained popularity among tourists in Asia, showing great potential. Strategically located in Asia, Taiwan is an ideal place to develop cruise tourism. This study explores how Taiwan could build a niche in Asia's cruise tourism industry. It applies the Fuzzy Delphi and Fuzzy IPA methods. According to study results, Taiwan should prioritize on the following aspects: establishing a 24-h tourist service center, providing a complete cruise logistics service, inviting foreign cruise operators to inspect special resources in Taiwan, cooperating with other Asian countries, setting up a special government unit, as well as planning and developing unique tourism resources.     

The establishment of a rapid natural disaster risk assessment model for the tourism industry

At the current time, the Taiwan government is aggressively promoting projects, such as the so-called “Double Tourist Plan”, designed to encourage the development of the sightseeing related business. Operators in the tourist industry hope to construct facilities at or near scenic areas, which, given their special geography, are often adjacent to the mountains or the ocean. Unfortunately these are also the areas that most often experience natural disasters. This has a negative impact on the tourism industry. The centralization of tourist facilities, leading to the gathering of large numbers of visitors during the holiday seasons, can place people in danger. In other words, tourism operators in the Taiwan region face a high risk of natural disasters. It is difficult to assess such risks. Most of the existing models for catastrophe risk assessment consume huge amounts of time and are costly to use, so are more commonly applied for assessment at high-value facilities (such science-based industrial parks), rather than by the tourism industry, where economic factors are of greater concern. It is necessary to develop a simple and rapid assessment method that will allow ordinary business owners to carry out comprehensive risk analysis of tourist facilities. Thus, in this study, we explore various theories related to different kinds of natural disaster risk analysis mechanisms, with the goal of establishing a rapid risk assessment model suited to the tourism industry that can be used to quickly analyze disaster-forming characteristics and risk weaknesses in local regions. Furthermore, we incorporate an expert weighting process for assigning weightings for natural disaster risk index assessment. This method can help tourism asset owners prepare for the worst, and be capable of responding appropriately if and when such an event occurs. Good planning can effectively reduce the loss and risks associated with natural disasters and allow recovery work to commence sooner.