The impact of Airbnb on a non-touristic city. A Case study of short-term rentals in Santa Cruz de Tenerife (Spain)

Erdkunde ◽  
2020 ◽  
Vol 74 (3) ◽  
pp. 191-204
Author(s):  
Marcus Hübscher ◽  
Juana Schulze ◽  
Felix zur Lage ◽  
Johannes Ringel

Short-term rentals such as Airbnb have become a persistent element of today’s urbanism around the globe. The impacts are manifold and differ depending on the context. In cities with a traditionally smaller accommodation market, the impacts might be particularly strong, as Airbnb contributes to ongoing touristification processes. Despite that, small and medium-sized cities have not been in the centre of research so far. This paper focuses on Santa Cruz de Tenerife as a medium-sized Spanish city. Although embedded in the touristic region of the Canary Islands, Santa Cruz is not a tourist city per se but still relies on touristification strategies. This paper aims to expand the knowledge of Airbnb’s spatial patterns in this type of city. The use of data collected from web scraping and geographic information systems (GIS) demonstrates that Airbnb has opened up new tourism markets outside of the centrally established tourist accommodations. It also shows that the price gap between Airbnb and the housing rental market is broadest in neighbourhoods that had not experienced tourism before Airbnb entered the market. In the centre the highest prices and the smallest units are identified, but two peripheral quarters stand out. Anaga Mountains, a natural and rural space, has the highest numbers of Airbnb listings per capita. Suroeste, a suburban quarter, shows the highest growth rates on the rental market, which implies a linkage between Airbnb and suburbanization processes.

2021 ◽  
Author(s):  
Corinna Prior

This research paper investigates the impact that digital technological platforms are having on municipalities and the ways in which these practices can and are be incorporated into planning studies and regulatory frameworks. It uses the expansion of the short-term rental market as a case study, looking specifically at the Airbnb platform and its growth within the City of Toronto since 2011. Findings from the study indicate that municipalities need to explore the use of new digital tools like web scraping and advocating for APIs which allow for better data collection. Furthermore, the collection of data for municipal governance purposes is a practice that needs to be more clearly defined by either the provincial or federal governments. Interviews with key informants also suggest that there is a need to establish strong data agreement policies and to expand Information Technology departments to better equip municipalities to cope with technological change.


2021 ◽  
Author(s):  
Corinna Prior

This research paper investigates the impact that digital technological platforms are having on municipalities and the ways in which these practices can and are be incorporated into planning studies and regulatory frameworks. It uses the expansion of the short-term rental market as a case study, looking specifically at the Airbnb platform and its growth within the City of Toronto since 2011. Findings from the study indicate that municipalities need to explore the use of new digital tools like web scraping and advocating for APIs which allow for better data collection. Furthermore, the collection of data for municipal governance purposes is a practice that needs to be more clearly defined by either the provincial or federal governments. Interviews with key informants also suggest that there is a need to establish strong data agreement policies and to expand Information Technology departments to better equip municipalities to cope with technological change.


Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 234
Author(s):  
Dong Han ◽  
Jiajun Qiao ◽  
Qiankun Zhu

Rural-spatial restructuring involves the spatial mapping of the current rural development process. The transformation of land-use morphologies, directly or indirectly, affects the practice of rural restructuring. Analyzing this process in terms of the dominant morphology and recessive morphology is helpful for better grasping the overall picture of rural-spatial restructuring. Accordingly, this paper took Zhulin Town in Central China as a case study area. We propose a method for studying rural-spatial restructuring based on changes in the dominant and recessive morphologies of land use. This process was realized by analyzing the distribution and functional suitability of ecological-production-living (EPL) spaces based on land-use types, data on land-use changes obtained over a 30-year observation period, and in-depth research. We found that examining rural-spatial restructuring by matching the distribution of EPL spaces with their functional suitability can help to avoid the misjudgment of the restructuring mode caused by the consideration of the distribution and structural changes in quantity, facilitating greater understanding of the process of rural-spatial restructuring. Although the distribution and quantitative structure of Zhulin’s EPL spaces have changed to differing degrees, ecological- and agricultural-production spaces still predominate, and their functional suitability has gradually increased. The spatial distribution and functional suitability of Zhulin are generally well matched, with 62.5% of the matched types being high-quality growth, and the positive effect of Zhulin’s spatial restructuring over the past 30 years has been significant. We found that combining changes in EPL spatial area and quantity as well as changes in functional suitability is helpful in better understanding the impact of the national macro-policy shift regarding rural development. Sustaining the positive spatial restructuring of rural space requires the timely adjustment of local actors in accordance with the needs of macroeconomic and social development, and a good rural-governance model is essential.


Author(s):  
Jorge Salgado ◽  
José Ramírez-Álvarez ◽  
Diego Mancheno

AbstractThe 16 April 2016 earthquake in Ecuador exposed the significant weaknesses concerning the methodological designs to compute—from an economic standpoint—the consequences of a natural hazard-related disaster for productive exchanges and the accumulation of capital in Ecuador. This study addressed one of these challenges with an innovative ex ante model to measure the partial and net short-term effects of a natural hazard-related catastrophe from an interregional perspective, with the 16 April 2016 earthquake serving as a case study. In general, the specified and estimated model follows the approach of the extended Miyazawa model, which endogenizes consumption demand in a standard input–output model with the subnational interrelations and resulting multipliers. Due to the country’s limitations in its regional account records the input–output matrices for each province of Ecuador had to be estimated, which then allowed transactions carried out between any two sectors within or outside a given province to be identified by means of the RAS method. The estimations provide evidence that the net short-term impact on the national accounts was not significant, and under some of the simulated scenarios, based on the official information with respect to earthquake management, the impact may even have had a positive effect on the growth of the national product during 2016.


2021 ◽  
Vol 67 (1) ◽  
pp. 47-51
Author(s):  
Tatjana Savković ◽  
Pavle Gladović ◽  
Milica Miličić ◽  
Pavle Pitka ◽  
Dejan Koleška

The paper evaluates the impact of eco-driving programs on driving behavior. The study involved 4 professional truck drivers, which examined two operational driving prameters: fuel consumption and idling. Driving behavior was analyzed through three periods: pre-training period (P1), training period (P2), first month after training (P3) and second month after training (P4). Data were collected using Scania Fleet Management System. The results show that there was an improvement in the observed parameters in short-term. Namely, a decrease in fuel consumption and idling was achieved, in the periods P2, P3 and P4 in relation to the period P1. Due to the realized reductions of the observed parameters, costs in transport companies can be significantly reduced annually.


2020 ◽  
Vol 13 ◽  
Author(s):  
Katherine Newman-Taylor

Abstract People with psychosis do not have routine access to trauma-focused cognitive behavioural therapy (CBT) interventions such as imagery rescripting (IR), partly due to clinical caution. This case study describes the use of a simple imagery task designed to engender ‘felt security’, as a means of facilitating IR with a woman struggling with distressing memory intrusions, linked to her voices and paranoia. We assessed the impact of the felt security task, which was used before IR to enable Kip to engage in reprocessing of her trauma memories, and again after IR so that she would leave sessions feeling safe. The brief imagery task was effective in improving felt security before IR sessions. Felt security then reduced during IR, when distressing material was recalled and reprocessed, and increased again when the task was repeated. It is not yet clear whether trauma-focused interventions such as IR need to be routinely adapted for people with psychosis. In the event that individuals express concerns about IR, if the person’s formulation indicates that high levels of arousal may trigger an exacerbation of voices, paranoia or risk, or where clinicians are otherwise concerned about interventions likely to increase emotional arousal in the short term, the felt security task may facilitate safe and effective reprocessing of trauma memories. This in turn may increase access to trauma-focused CBT for people with psychosis. Key learning aims (1) To understand that people with psychosis need access to trauma-focused CBT. (2) To be familiar with a simple attachment-based imagery task designed to foster ‘felt security’. (3) To learn that this task may facilitate imagery rescripting in people with psychosis.


2018 ◽  
Vol 54 (1) ◽  
pp. 1-15 ◽  
Author(s):  
L. G. Burange ◽  
Rucha R. Ranadive ◽  
Neha N. Karnik

The article analyses a causal relationship between trade openness and economic growth for the member countries of BRICS by using an econometric technique of time series analysis. Member countries of BRICS adopted a series of liberalization reforms, almost simultaneously, from the late 1980s. The article attempts to study the impact of trade openness on their growth in GDP per capita. It captures structural composition of GDP and openness of trade in four aspects, that is, merchandise exports, merchandise imports, services export and services import. In India, the study found growth-led trade in services hypothesis. The article supports the growth-led export and growth-led import hypothesis for China and export- and import-led growth for South Africa. However, no causal relationship was evident for Brazil and Russia. JEL Codes: F43, C22


2017 ◽  
Vol 47 (3) ◽  
pp. 457-474 ◽  
Author(s):  
Martin Brown ◽  
Gerry McNamara ◽  
Joe O’Hara ◽  
Stafford Hood ◽  
Denise Burns ◽  
...  

This paper suggests that distributed leadership is a vital first step in making schools flexible enough to respond to new pressures. However, it is then argued that distributed leadership per se does not necessarily imply a commitment to a particular stance on issues of social justice, such as equality, but rather that this can only flow from leaders becoming culturally responsive to the diverse traditions and needs of the changing populations of their schools. We define this combination as ‘distributed culturally responsive leadership’. The second part of the paper attempts to illustrate this argument by closely examining the philosophy and actions of a particular principal who is regarded as an exemplar of good practice. The methodology used in the school case study is described and, finally, we provide a presentation and analysis of the data followed by a discussion of the research findings.


2008 ◽  
Vol 11 (2) ◽  
Author(s):  
Mark G Duggan ◽  
William N Evans

As health care consumes a growing share of GDP, the demand for better evidence regarding the effects of health care treatments and how these vary across individuals is increasing. Estimating this with observational data is difficult given the endogeneity of treatment decisions. But because the random assignment clinical trials (RACTs) used in the FDA approval process only estimate average health effects and do not consider spending, there is no good alternative. In this study we use administrative data from California's Medicaid program to estimate the impact of HIV antiretroviral treatments (ARVs). We use data on health care utilization to proxy for health status and exploit the rapid takeup of ARVs following their FDA approval. Our estimate of a 68 percent average mortality rate reduction is in line with the results from RACTs. We also find that the ARVs lowered short-term health care spending by reducing expenditures on other categories of medical care. Combining these two effects we estimate the cost per life year saved at $19,000. Our results suggest an alternative method for estimating the real-world effects of new treatments that is especially well-suited to those treatments that diffuse rapidly following their approval.


2019 ◽  
Vol 34 (Supplement_1) ◽  
pp. S26-S34
Author(s):  
Sveta Milusheva

Abstract Short-term human mobility has important health consequences, but measuring short-term movement using survey data is difficult and costly, and use of mobile phone data to study short-term movement is only possible in locations that can access the data. Combining several accessible data sources, Senegal is used as a case study to predict short-term movement within the country. The focus is on two main drivers of movement—economic and social—which explain almost 70 percent of the variation in short-term movement. Comparing real and predicted short-term movement to measure the impact of population movement on the spread of malaria in Senegal, the predictions generated by the model provide estimates for the effect that are not significantly different from the estimates using the real data. Given that the data used in this paper are often accessible in other country settings, this paper demonstrates how predictive modeling can be used by policy makers to estimate short-term mobility.


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