Destination Regions Research Articles

Indigenous migration patterns in Brazil based on the 2010 national demographic census: analysis and critical reflection

Research in several Latin American countries points to violence, loss of traditional territories, and seeking education, health, and wage labor as key variables in triggering rural–urban migration among Indigenous people. This study presents an analysis of the migration patterns of Indigenous people in Brazil, compared to non-indigenous people, based on data from the most recent national census, conducted in 2010. Migration characteristics related to lifetime migration and recent migration were investigated by means of descriptive and multivariable logistic regression analyses. The findings pointed to complex mobility scenarios according to migrants’ Indigenous status and geographical regions of origin and destination. Indigenous people living in urban areas presented high levels of mobility (approximately 50% lived in different municipalities from those where they were born), which were more pronounced than those of non-Indigenous people. Indigenous people living in rural areas presented the lowest levels of migration (approximately 90% residing in their municipality of birth). Statistical modeling confirmed the patterns observed in descriptive analysis, highlighting the marked mobility of Indigenous subjects in urban areas. We emphasize the limitations of using census data for characterizing Indigenous mobility profiles, although no other nationally representative data are available. The finding that the Indigenous population living in urban areas presents rates of migration higher than their non-Indigenous counterparts is particularly important for the planning and implementation of a broad range of public policies aimed at ethnic minorities in the country, including health, education, and housing initiatives.

A Framework for Compiling Quantifications of Marine Biosecurity Risk Factors Associated With Common Vessel Types

Globally, movements of commercial vessels can facilitate the spread of marine non-indigenous species (NIS) beyond their current biogeographic ranges. Authorities at potential destination locations employ a number of biosecurity risk assessment strategies to estimate threat levels from potential origin locations, vulnerability levels of specific destination regions, or the consequences of successful establishment of particular NIS species. Among the many factors and processes that have an influence on the probability that NIS will survive transport and establish successfully at new locations, vessel type has been identified as an important risk factor. Different vessel types have different structural and operational characteristics that affect their overall level of marine biosecurity risk. Several recent studies have examined subsets of vessel types or vessel characteristics for their ability to spread NIS. While high-quality information is available via these endeavors, it is fragmented and not readily available as an integrated resource to support biosecurity regulators or other end-users. In this study, we synthesize available empirical data on a wide range of vessel types and characteristics to develop a framework that allows systematic quantification of the relative risk of NIS transfer by common commercial vessel types. We explain our approach for constructing the framework, from selection of key risk factors for inclusion, to selection of which datasets to use for those risk factors. The framework output is a set of risk scores which denote the relative biosecurity risk of common commercial vessel types. To demonstrate a potential application of our framework, we applied the risk scores to vessel visit data for commercial ports around New Zealand and assigned a relative risk level per port based on the arrival frequencies of different vessel types. The resulting per-port risk levels matched closely with the results of a prior benchmark study that employed state-of-the-art risk modeling approaches. Our framework is based on globally relevant data, is simple to implement, and is adaptable as new empirical information arises. It can serve as a simple tool to determine the relative levels of vessel-related biosecurity risk associated with geographic shipping hubs, or it can be used as a vessel-specific “risk mask” for maritime transport models. It can be applied to any scientific or policy question that requires information on vessel type differences in relation to marine biosecurity risk.

Adaptable Resilience Assessment Framework to Evaluate an Impact of a Disruptive Event on Freight Operations

Freight transportation is a major economic backbone of the United States. Ports, as one of the primary components of freight transportation, have experienced significant growth and increased capacity during the past two decades. This study develops an adaptable resilience assessment framework that evaluates the impact of a disruptive event on transportation operations. The framework identifies dynamic performance levels over an extended period of an event including five distinct phases of responses: staging, reduction, peak, restoration, and overloading. This study applies the framework to the Port of Houston, Texas, during a major hurricane event, Harvey, and two holiday events in 2017. The framework evaluates proactive and reactive responses of port truck activities during the disruptions and provides a comprehensive assessment of resilience and adaptability in port truck operations. This study showed that a short proactive response before a disaster results in a long recovery period with over 250% increases in volume between a port terminal (Barbours Cut) to its regional destinations. Trucks serving local facilities show stable and shorter response phases, while regional operations maintain a prolonged staging or overloading phases to handle the excess demands especially for significant multi-day disruptive events. The economic analysis shows that the increased economic gain during a proactive or reactive stage could substantially alleviate the losses resulting from impaired port operations. Evaluating response systems and resilience of port truck activities during severe weather events represents the first step for designing plans that support a fast system recovery that minimizes the economic, social, and human impacts.

Are old regions less attractive? Interregional labour migration in a context of population ageing

AbstractRegional demographic change is often conceptualized as a circular process, where out‐migration continuously worsens conditions of population ageing and shrinkage. Thus, if migration acts as a consequence as well as cause of ageing, migration patterns should be influenced by the age structure of origin and destination regions. This paper analyses individual‐level migration decisions of full‐time employees across 326 German regions between 1997 and 2013 using binary choice models. The results show that individuals are more likely to migrate out of and less likely to migrate towards ageing regions. Moreover, the identified patterns are consistent with age‐selective migration reinforcing ageing processes and polarization of demographic structure.

War shocks, migration, and historical spatial development in China

North China was traditionally the cradle of civilization in China, and yet most of its largest cities today are located in the south. Using a unique gridded (1∗1°) data set of population density for nearly two millennia, we show that the center of economic gravity had gradually shifted to the south between the 3rd and 12th centuries as a result of mass migration, of which nomadic intrusions were the key driving force. Evidence shows that the destination regions saw significant growth in population density and urban agglomeration after each wave of migration. Moreover, as it was the elites who spearheaded the migratory move, they not only brought with them their own (upper-tail) human capital, but also perpetuated a persistence of human capital investment over time as manifested in a significantly higher density of jinshi scholars in the imperial civil service exam and number of Confucian academies in the past, and years of schooling today.

Interactive Relationship between the Environmental Concern and the Eco-Tourism Destination Regions: A Literature Review

Tourism in eco-destinations contributes to overall well-being of local people and at the same time affects these destinations in an adverse manner as a result of anthropocentric activities. It becomes imperative to understand the relational dynamics between environmental concern and vulnerable ecotourism regions to find out viable solutions for achieving sustainability. The purpose of this paper is to develop a comprehensive literature review. The paper aims to understand the arguments on environmental concern research that addresses the impact of knowledge, attitude, behavioural intentions and values on the tourists in the eco-tourism destination regions by conducting a systematic review of peer-reviewed research publications from the year 1995 to 2018. The study reveals that there is a strong association between the environmental concern of tourists and the eco-tourism destination regions, and further depicts that the environmental concern of tourists positively affects the destination regions. The current review finds out that building environmental concern and awareness among tourists has a strong potential to achieve environmental sustainability and local community development.

Functioning tourism interpretation on consumer products at the tourist generating region through tea tourism

PurposeThis paper aims to clarify the functions of tourism interpretations of consumer products in a tourist-generating region (TGR) as a means of marketing the tourist destination region (TDR) through tea tourism.Design/methodology/approachThis is a case study of the Thai Shizuoka Green Tea brand working to promote tea tourism in Shizuoka, Japan. It is used to identify the functions of tourism interpretations of consumer products in a TGR related to the concept of brand identity. This paper assessed Thai consumers’ opinions on the efficiency of tourism interpretation through a sample of 404 questionnaires and with interviews of ten young females, the primary respondents.FindingsTourism interpretations of the TGR’s consumer products are important for promoting the TDR through five premises: 1) motivating visitors to visit the destination, 2) communicating the place’s meaning, 3) targeting potential tourists, 4) differentiating the destination from other sites and 5) activating value co-creation. Premises 1 and 2 were assumed to stem from visitors’ enjoyment of the tea; the packaging motivated their visit to Shizuoka, its origin. Premise 3 concerns young women who view the product as a premium healthy drink. Premises 4 and 5 are based on the brand’s essence, implying the tea company’s partnership between Thailand and Japan.Originality/valueTourism interpretation plays a significant role in TDRs’ success; however, it can be implemented with other consumer products and an efficient brand identity, to create an image of a destination.

Discovering Enfield Falls: A community initiated archaeological heritage project in Ithaca, New York

ABSTRACT Discovering Enfield Falls differs from many academic-managed heritage programmes that are top-down projects initiated by archaeologists. In it, planning originated with stakeholders determined to create a public history of a hamlet in New York (USA) which the state had demolished (in the early twentieth century) to create a park. This nineteenth-century hamlet had been both a commercial centre for farmers and a regional scenic tourist destination. Contemporary stakeholders did not need archaeologists to help them discover their history or to realize the heritage value of Enfield Falls. They needed archaeologists to collaborate with them to reveal the cultural landscape and history buried in the park to larger communities, both local and in the surrounding northeast region of the United States and Southeast Canada. This case study describes collaborations undertaken from 1998 to the present (fieldwork, museum exhibits, and more) by archaeologists, community members, and Cornell University archaeology service-learning students.

Regional destination attributes that attract domestic tourists: the role of man-made venues for leisure and recreation

This paper examines the influence of man-made attractions for leisure and recreation on domestic tourists' preferences amongst regional destinations, and the moderating role of these attractions on the negative effect of distance on tourists' choices. A mixed multinomial logit model is employed for 368 cities in Colombia grouped into 28 provinces. Factor analysis is utilised to identify the latent variable that groups several man-made attractions for leisure and recreation. Results show that domestic tourists' choices of a regional destination increase as the number of man-made attractions for leisure and recreation rises, although there is taste heterogeneity between tourists explained by their city of origin. Findings also show that the decline in domestic tourists' preferences for a regional destination due to increases in travel distance can be lessened through the construction and/or enhancement of man-made venues for leisure and recreation in the destination; a strategy that can serve to reduce monetary poverty in distant destinations that have attributes to attract tourists.

Tourism and climate change – A discussion of suitable strategies for Austria

Tourism is both a major contributor to climate change and also one of the sectors more heavily impacted. Developing and implementing adaptation and mitigation measures are of particular importance, as the extent of climate risks in the second half of the century can still be significantly influenced by effective global actions. This paper is based on an in-depth report on tourism and climate change for the tourism destination of Austria, summarizing the current scientific knowledge and a related stakeholder discussion. Against this background, the paper at hand discusses possible fields of action, examples of suitable measures, and related challenges. It shows how to distinguish different levels of action and develop related adaptation strategies for the traveler (consumer adaptation), the tourist operation (business adaptation), the regional destination (destination adaptation) and the destination of Austria (national destination policy and adaptation). However, the discussion also shows that current incremental progress may be – despite its many successes – too slow for the challenging task. The experiences around Covid-19 have shown that normative instruments do have the power to affect significant trend reversals, including a change in lifestyle. The wealth of adaptation measures presented in this paper should be incorporated into a vision such as the climate friendly “Paris-Lifestyle” – a tangible change and a common societal task. Management implications The effects of climate change can still be influenced to avoid significant effects in the second half of the century. However, this requires a focus on normative measures on the national and European level. The compilation of methodological approaches shows that, in addition to a strong normative approach, a combination of economic, behavioral economic planning and moderating methods can also be used. In the area of behavioral economics and nudging in particular, the existing options have hardly ever been applied. For managers in tourism businesses, this is where the greatest potential is seen.

IMPROVED METHODOLOGICAL APPROACH TO THE PROCESS OF COMMERCIALIZATION OF INTELLECTUAL PROPERTY, AS A TOOL FOR REPUTATION MANAGEMENT OF A TOURIST DESTINATION

The article considers the importance of the process of commercialization of intellectual property for the formation of reputable management of a tourist destination and provides an improved methodological approach to the process of commercialization of intellectual property on the example of the concept of creating a unique tourist product by a business entity. The reputation management of a tourist destination – a set of socio-economic processes of targeted influence on stakeholders of a tourist destination in order to improve their perception of its reputation characteristics, which aims to increase the importance of reputation and form sustainable long-term relationships with stakeholders.The reputation of a tourist destination directly proportionally influences the formation of tourist flow, and, accordingly, the growth of financial revenues, active development of the territory and improvement of the economic climate. With effective reputation management of a tourist destination, a strategic vision of development is formed, investment proceeds are attracted to new business projects and events, to the tourist infrastructure, to job creation. This is achieved through the creation of organizations that can bring together stakeholders and professionals to further promote resources and unique tourism offerings in the tourism arena. Its priority areas are determined by the impact on the formation of reputation through the elements of branding and image, research, analytics, the formation of services and tourism products. And most importantly, promotion through communication channels, which include: public relations (PR), interaction with the media, the involvement of promoters, experts, ambassadors, influencers of the destination through modern Internet technologies. One of the most effective channels of communication today is the Internet and the development of digital products, which include travel portals, mobile applications, digital channels, and more. By certain advantages, such channels are ahead of traditional channels, namely due to: rapid dissemination of information with a wide audience and distribution geography, with less costly control, because monitoring and openness of data simplifies the processes and global digitization of the widespread and tourism industry. And in such conditions, one of the priority steps in creating a tourist product – a unique tourist offer is its copyright protection under current legislation. This advanced method allows the tourism entity or destination as a whole to commercialize and further benefit, and thus improve its reputation in the tourism market by having unique protected tourism offerings within both the regional and national destinations.

Recent Relocation Patterns Among Older Adults in the United States

Problem, research strategy, and findings Residential relocation is a way for older adults to cope with income changes, health changes, and other life cycle events such as the loss of a partner. The number of movers aged 60 and older increased by 1.4 million from 2010 to 2019 in the United States. Therefore, it is timely to examine older adults’ recent relocation patterns. Using multiple national-level data sources, we asked two questions: First, who are movers among older adults, and why are they moving? Second, what are their destination regions and neighborhoods? Results show that movers tend to be renters, those with lower incomes, those with higher housing cost burdens, and those who live alone. Although older adults’ primary reason for relocation is to live closer to their families, baby boomers younger than 70 have more heterogeneous moving reasons than older cohorts. We classify older adult movers into three types: aging adapters (56.9% of movers), suburb lovers (37.5% of movers), and long-distance movers (5.6% of movers). Takeaway for practice Our findings suggest short- and long-term strategies for planners to help older adults meet their heterogeneous residential needs. Practitioners should take steps to increase housing affordability for older adults, such as through changes in land use controls, by creating more age-restricted and age-inclusive communities to accommodate the diverse needs of movers among older adults, and by promoting age-friendly ride-hailing and public transit systems.

Variance of destination region image according to multi-dimensional proximity: A case of the Greater Bay Area

Due to increasing accessibility and mobility, tourism destinations are broadening their spatial boundaries and cultural contexts. This study took as an example the Guangdong–Hong Kong–Macao Greater Bay Area, which consists of 11 cities, and explored how the new path creation of a regional tourism destination reshapes people's cognitive and affective images of the destination on a megalopolitan scale. Destination region image is neither a simple aggregation of the images of member cities nor dictated by the image of a single well-known destination. Both the physical and conceptual connections among multiple cities within the destination region are key nodes of the inclusive image of the region. Connectivity is not only embedded within institutional relations and discourses, but also represented through multi-functional tourism networks and regional culture. The study further explored the image heterogeneity of three proximity-based tourist clusters, divided in terms of cultural and geographical distance and previous travel experience. The research findings of this study can inform planning and marketing strategies for the path creation and development of metropolitan destination regions. • Three phases of path development in the Greater Bay Area are traced. • People's new cognitive system in response to regional path creation is identified. • The key node is connectivity in institutions, networks, and regional culture. • Image heterogeneity among proximity-based tourist clusters is identified. • Variances of destination region image have implications for destination innovation.

Fleeing lockdown and its impact on the size of epidemic outbreaks in the source and target regions \u2013 a COVID-19 lesson

The COVID-19 pandemic forced authorities worldwide to implement moderate to severe restrictions in order to slow down or suppress the spread of the disease. It has been observed in several countries that a significant number of people fled a city or a region just before strict lockdown measures were implemented. This behavior carries the risk of seeding a large number of infections all at once in regions with otherwise small number of cases. In this work, we investigate the effect of fleeing on the size of an epidemic outbreak in the region under lockdown, and also in the region of destination. We propose a mathematical model that is suitable to describe the spread of an infectious disease over multiple geographic regions. Our approach is flexible to characterize the transmission of different viruses. As an example, we consider the COVID-19 outbreak in Italy. Projection of different scenarios shows that (i) timely and stricter intervention could have significantly lowered the number of cumulative cases in Italy, and (ii) fleeing at the time of lockdown possibly played a minor role in the spread of the disease in the country.

Drivers of Regional Destination Competitiveness: A DEMATEL – Fuzzy TOPSIS Approach

This paper aims to explore a conceptual criteria framework for measuring tourism destination competitiveness at the regional level to fill the existing gap in literature. This study was conducted in the East Nusa Tenggara (NTT) Province of Indonesia, by developing a tailored set of criteria for measuring destination competitiveness specific for the regional backdrop through rigorous literature review and in-depth interviews with tourism experts. Moreover, a hybrid MCDM approach combining DEMATEL and Fuzzy TOPSIS techniques was employed to analyze interrelationships and importance rankings of the developed measurement criteria. This research developed a six-factor and twenty-three indicator framework deemed relevant for assessing destination competitiveness at the regional level. The six factors comprise of destination attraction, general infrastructure, superstructure, destination management, price competitiveness, and regional government policy. The DEMATEL analysis revealed regional government policy to be the most influential factor, whilst destination attraction was rendered the most important one. Results from the Fuzzy TOPSIS present the most important indicators from the framework as a natural attraction, accessibility and port infrastructure, accommodation, the image of the destination, and priority towards the tourism sector. Findings from this research provide valuable insights in terms of proposing tourism policymakers with a blueprint of regional destination competitiveness criteria that offers critical inputs for developing medium and long-term tourism strategies.

Migration, regional growth and convergence: a spatial econometric study on Romania

Migration has far-reaching implications for regional-economic growth and spatial disparities. This paper explores the role played by migration in spatial-economic development in Romania, a country that is facing large and persistent regional disparities. We develop a spatial-econometric model for studying the impact of migration movements in Romania (both domestic and international) on regional welfare patterns in this country. Employing a one-lag spatial dynamic panel model for the period 1995–2015 and accounting for the endogeneity of migration and human capital, our findings reveal that migration clearly adds to divergence. The composition effect outweighs the neoclassical quantitative effect and thus, migration undermines convergence. When migration inflows foster growth by skills-selectivity and strengthening agglomeration economies in richer destination regions, migration outflows appear to inhibit growth in source regions. Spatiality also matters, as regions turn out to grow faster when neighbouring other regions with a high development level, due to spillover effects. However, the clustering tendency of regions with a similar development level undermines convergence. In policy terms, our findings emphasize the need of economic incentives for raising human capital and investment stocks in regions that are lagging behind. This translates also into a strong argument in favour of EU Cohesion policy that can leverage the competitiveness–cohesion trade-off by increasing connectivity between regions and improving their business environment.

Business Performance and Sustainability in Cultural and Rural Tourism Destinations

This study analyzes business performance through efficiency score estimation in two sustainable tourism models: cultural tourism and rural tourism. The study uses microeconomic data (microdata) of Spanish firms with different characteristics in terms of size, region, location and financial variables. Using multistage modeling (Data envelopment analysis, DEA, non-parametric frontier and non-parametric tests), the main results show that the average efficiency is higher for rural tourism destinations than for cultural tourism destinations. Similar to other tourism industries, efficiency results by geographical and regional destination confirm that location is a driver of the efficiency levels in rural and cultural tourism destinations. Furthermore, the results do not support the scale economies hypothesis: the average efficiency is higher for very small firms compared to other firm sizes, although the average efficiency for large firms is higher than that for medium-size firms. Regarding dynamic efficiency, the results reveal slight variations among the years examined, but the differences are not statistically significant. Finally, the study sheds light on the link between the efficiency of rural tourism and sustainable practices as the investment in environmental protection developed by regions during the period.

A Global Meta-analysis of the Immigrant Mortality Advantage

A large body of research on the “Healthy Immigrant Effect” (or “Paradox”) has reported an immigrant mortality advantage. However, other studies do not find such significant effects, and some even present contradictory evidence. This article is the first systematic meta-analysis that investigates the immigration-mortality relationship from a global perspective, examining 1,933 all-cause and cardiovascular mortality risk estimates from 103 publications. Our comprehensive analysis allows us to assess interactions between origin and destination regions and to reexamine, on a global scale, some of the most notable explanations for the immigrant mortality advantage, including suggestions that this paradox may be primarily the result of selection effects. We find evidence for the existence of a mild immigrant mortality advantage for working-age individuals. However, the relationship holds only for immigrants who moved between certain world regions, particularly those who immigrated from Northern Africa, Asia, and Southern Europe to richer countries. The results highlight the need in the broader migration literature for an increased focus on selection effects and on outcomes for people who chose not to migrate or who were denied entry into their planned destination country.

Modelling European regional FDI flows using a Bayesian spatial Poisson interaction model

This paper presents an empirical study of spatial origin and destination effects of European regional FDI dyads. Recent regional studies primarily focus on locational determinants, but ignore bilateral origin- and intervening factors, as well as associated spatial dependence. This paper fills this gap by using observations on interregional FDI flows within a spatially augmented Poisson interaction model. We explicitly distinguish FDI activities between three different stages of the value chain. Our results provide important insights on drivers of regional FDI activities, both from origin and destination perspectives. We moreover show that spatial dependence plays a key role in both dimensions.

A collective risk dilemma for tourism restrictions under the COVID-19 context

The current COVID-19 pandemic has impacted millions of people and the global economy. Tourism has been one the most affected economic sectors because of the mobility restrictions established by governments and uncoordinated actions from origin and destination regions. The coordination of restrictions and reopening policies could help control the spread of virus and enhance economies, but this is not an easy endeavor since touristic companies, citizens, and local governments have conflicting interests. We propose an evolutionary game model that reflects a collective risk dilemma behind these decisions. To this aim, we represent regions as players, organized in groups; and consider the perceived risk as a strict lock-down and null economic activity. The costs for regions when restricting their mobility are heterogeneous, given that the dependence on tourism of each region is diverse. Our analysis shows that, for both large populations and the EU NUTS2 case study, the existence of heterogeneous costs enhances global agreements. Furthermore, the decision on how to group regions to maximize the regions’ agreement of the population is a relevant issue for decision makers to consider. We find out that a layout of groups based on similar costs of cooperation boosts the regions’ agreements and avoid the risk of having a total lock-down and a negligible tourism activity. These findings can guide policy makers to facilitate agreements among regions to maximize the tourism recovery.