eSignature Legitimateness for Travel Industry in European Union

How to eSign a document: e-signature legitimateness for Travel Industry in European Union

good afternoon and welcome to this eurostat webinar uh I'm Tim Allen from eurostats uh dissemination unit and I'll be the moderator today um I'm going to start briefly with some housekeeping um the event is being recorded and we will make the recording available both on our Facebook page and and on our website after the after the webinar so if you can't stay for the entire webinar you can catch up afterwards and with there will be a q a section with the presenters at the end and for the Q a we would uh like you to send us questions via slido we have a slido code and a slido uh QR that you can use and you can post your questions on slido for the Q a session and then we have a series of presentations today on tourism statistics and also on the policy perspective uh but I'm we would like to start I'd like to start by introducing Sophie limpack who is the director of business and trade statistics at eurostat Who start with an introduction to this seminar over to you Sophie thank you very much Sim and good afternoon everybody and thanks a lot for joining us for this webinar on European tourism statistics which is organized by eurostat the statistical Office of the European Union as a director in charge of business and trade statistics within your stats I have to say that I'm particularly pleased to open this webinar on this statistical area tourism is usually something we think about a couple of times during the year and that we usually associated to words such as Leisure Beach Sun snow holidays relax however tourism is much more than that it's actually an economic sector with very significant importance for the European economy as a whole in fact tourism can be and is already an important driver of economic development in European regions tourism also plays a significant role in the labor market offering many jobs opportunities in the EU in particular since tourism is normally a product or a service that is consumed locally and that cannot be easily outsourced it's clear that Europe is a major touristic destination for Europeans and also for people coming from around the world this being said to be fair European touristic sites are also competing with other very nice destination elsewhere in the world the purpose of our European statistics is precisely to help the users to assess the economic importance the growth potential as well as the diversity of the tourism sector within the EU before the covet crisis we know that more than 2.5 million Enterprises many of which were smes or micro Enterprises were active in what we call tourism related Industries we also know that tourism direct growth value added is estimated at around 575 billion euros which represents 4.5 of the gross value added of the total EU economy this is to say the importance of this economic sector for the EU and the importance for eurostat to produce reliable and trustworthy statistics on tourism and how do we do that well all will be revealed in the next 30 minutes as my two colleagues Christoph and Simon will take you behind the scenes of the European tourism statistics Kristoff will focus on what we can call to the traditional statistics they have been available for a while now and have proven their values for our users they are also regularly evolving as we are making constant efforts to improve both their timeliness and their geographical granularity Simon on the other hand will Enlighten you on a more Innovative way of producing our statistics as we are gathering data this time not from the tourists nor from the services provider but from the tourism intermediaries this fascinating project started a couple of years ago which is now allowing us to publish data on Short Stay accommodation offered via online platform which is quite a Hot Topic nowadays using data obtained directly from those platforms as you may have read in the announcement of this webinar 100 bookings are made via these platforms every single minute approximately this means that by the time I have finished my short introduction close to 500 bookings will have been made through on these platforms for trips to European destinations in the coming weeks a month that alone illustrates the importance of making these new statistics available for the users sign my two statistician colleagues I'm also particularly happy to welcome our colleague Kirsty she is a policy officer working on tourism matters in digigro Kirsty will present the tourism policy of the EU and demonstrate how your stats data contributes to the policy making in this particular field after these three presentations my colleague will be available to answer any questions that you may have let me now leave you in their safe hands and wish you a very safe journey through our tourism statistics thank you so people that introduction and now I'd like to uh introduce our first Speaker as Sophie said it's Christoph the munta from the tourism statistics unit and he'll be talking about European statistics on tourism so over to you Kristoff uh thank you Tim uh thank you Sophia as well for the introduction and welcome everybody to to this presentation uh as Sophie said I will give a hopefully a quick guided tour through what tourism statistics are and um I will I will talk a bit on what we exactly publish uh who does the work how does it work when is it happening and where you can find the data good yep so let me start with uh what we are talking about when we talk about tourism statistics uh actually we we have two sources uh one is uh data collected from businesses the other one is data collected from households uh in the data we collect from businesses uh it's basically focusing on the rental accommodation so it's data coming from hotels campsites holiday rentals and so on uh in that context we have on the one hand date on capacity it's uh the number of establishments number of pet places and on the other hand data on occupancy it's data on night spends on arrivals uh occupancy rates and so on the occupancy data we we do not only have annual data but only monthly also monthly series which are published quite fast after the end of the reference months we have this data available at Regional level because tourism is in the first place a a regional or destination level uh phenomenon we have data by degree of organization by coastal non-cosa areas and since a few years we can also publish data for a specific for list of European cities secondly besides the the data on oriented accommodation we also have data on tourism demands and I think there is a backlog with the slides because I'm ready a few slides further so um yeah the next one please yeah so in in terms of statistics on tourism demand this is data we collect from households it's about participation in tourism so what share of the population makes tourism trips throughout the year and also actually data on those trips the domestic trips and outbound trips the number of trips number of nights spend expenditure this data is available broken down by purpose of the trip so private or professional because also professional trips it's part of Tourism statistics by type of accommodation by mode of transport of course by destination country and finally we also have some limited data about same-day excursions uh besides this the bulk author data that we are managing ourselves uh we also try to enrich the analysis by data coming from uh related areas uh as my colleague Simon will talk about later we have the data on shorts or shorts the accommodation offered sphere platforms uh there's also a rich data on on the economy in in structural business statistics and short-term business statistics which you can find Elsewhere on your Estate website but which we also try to group under tourism statistics so there we focus on those industries that are relevant for for the tourism sector from the labor force survey we also take some data on employment in the specific sectors that are relating to tourism and as work in progress we are also working on tourism satellite accounts this is where the five uh 4.5 estimate of gross value added comes from that uh our director Sophie was mentioning in the internet action so this was in a nutshell what it is about I will show some examples of data afterwards who does the work uh typically in European statistics it's a cooperation between eurostat and the national statistical Institutes as typical uh there's also a regulation a Regal basis for tourism statistics uh the main point of this regulation is to ensure a harmonization of Concepts definitions uh to some extent also production methodology so to make sure that a user can actually compare the data for France with the data of of Spain for instance uh generally the data collection is done by the statistical officers who send data to eurostats this data collection it's mostly by sample surveys so the traditional statistical methods in some cases it's also based on administrative data for instance visitor registration systems that apply in certain countries or destinations about the timing the country sent us the the monthly accommodation data within six weeks after the reference month it's the time they need to get all the information from the service providers to assemble it and send to us the annual data which is a bit more detailed also takes a bit longer this will receive within six months from the uh from the 27 countries so our role is to to check the data validated data publish your data with you EU Aggregates the release calendar is available on neurostat websites for instance I think yesterday we received the the monthly data for November 22 so where can you find this data I mean I will not spend too much time on this because I want to show some examples everything is available on our website if you're familiar with eurobase the online database you you go to the industry trade and services uh part and you will find tourism and we hope that the uh the breakdown of the tree is somehow self-expended to to find your way besides the uh the huge amount of information the online database we also try to to let's say to summarize this information for you in a series of online articles and the uh maybe the series statistics maybe the statistics explained series is known to you from other areas also for tourism statistics we have quite some articles uh there uh but please the next slide so besides the statistics explained articles we also uh contribute to many what we call horizontal Publications it's not publication specifically on tourism but on for instance European businesses in general uh regions uh aging so we also contribute there with uh uh chapters on tourism and finally before I move to the uh to the example of the data it's actually already an example of data in the uh slip stream of the the covets 19 pandemic uh Euros that prepare the recovery dashboard basically it's a set of indicators to track the uh the economic and social recovery from the pandemic uh one of the indicators in that dashboard is also related to the monthly data on tourism nights so you see the in this graph you you see the pattern of uh the the past years with of course a strong drop and now we're more or less back to uh to stability but I'll come back to that in the examples that's um come now so just to uh to finish this uh my part of this this webinar I wanted to show some examples all the figures you see on the slide now will somewhere come up in the in the next slide uh let me start with a few figures on the capacity of accommodation there's a huge infrastructure in Europe in terms of uh tourist accommodation uh we uh we we observe about 600 000 tourist accommodation establishments those are hotels campsites holiday rentals and these represent about 28 million bets so let's say that's the the number of bets of citizens in a medium-sized European country maybe it shows a clearer picture uh a big part of these bets five million five million each are in France and Italy so far for the capacity uh maybe more interesting is the occupancy data because this the actual usage of this capacity in 2022 there were tourists spent 2.7 billion nights in in EU accommodation this is still uh five percent lower than 2019 but I will come back to to the recovery pattern later on of these 2.7 billion nights uh a majority is actually biodomestic tourists and 1.2 billion by International tourists so tourists coming from other European countries or from elsewhere in the world uh we see that the recover that's the the level of domestic tourists it's much closer than the uh than the pre-pandemic level it's actually higher than before the pandemic while for international tourists they are still finding their way back to uh to destinations abroad uh maybe not surprisingly uh Spain and Italy are the countries that attracted most foreign tourists followed by Croatia Greece and France in the next slide we see a longer term evolution um so you you can nicely see the uh the the constant growth from from 2009 to 2019 between 2000 9 in 2019 the number of nights spent actually increased with 40 which is on average 3.4 per year which is it's quite a quite an important constant growth uh of course after 2019 uh things changed which we see a bit clearer in the in the next slide so then this slide shows actually the period of 2019 to I mean to today or to a month and a half ago uh or to a few months ago uh split by month uh it's it's obvious that uh there was a big dip uh starting in in March 2020 for the reasons we all know uh 2021 was already better than 2020 and uh nicely for 2022 that the Orange Line you can see that it was slowly but steadily approaching the level of 2019 so if we continue on this uh uh at this page 2023 shoots should be uh uh a normal year uh since we're looking into some monthly data you can also see the uh please go back to the previous slide was just one thing left uh since this is showing Monty data you can also see the clear peak in the summer season actually July and August to represent uh almost one third of all night spent in the in EU accommodation throughout the year that's big fluctuate Nations across the across the union for instance Croatia is highly highly seasonal with more than with 58 of night spent concentrated in only two months now we can go to next slide please which is about the regional data it's not only the uh the spread throughout the year that is uh quite different from country to country but also the regional spread is quite uh striking um tourism is by I mean it's often a destination or Regional level uh phenomenon rather than a national level phenomenon so it's it's interesting to look at Regional data for your information the EU is divided into 1166 and that's three regions it's the division of Europe uh forget about the 1166 but the only thing I want to say out of these 1166 only 15 regions and those are the ones that are marked in in some brownish color on this map some are really small like tourism Berlin but there's 15 blocks in 15 of these 1166 regions uh one and seven nights spent are actually counted so these few Regions account for nearly 15 of all unites while they represent only 1.6 of the EU territory when we look at the top five and these are the five I indicated with their names um that these top five regions so parrots uh Bolzano in Italy which is a dolomites more that's of Venezia istria and Majorca these five regions actually have the same number of tourists as a 12 entire member states just to show here the importance of the regional level one last slide with data as I mentioned we also collect data from from uh from the population via household surveys the small graph you see that shows the uh the number of the the part of the population that actually participates in tourism this is defined as making at least one trip with an overnight stay per year so there are people who have no interest in traveling but there was a let's say a gradual increase up to 2019 and and that year uh almost two out of three Europeans actually participated in tourism uh of course there was a dip because of the pandemic but this is also uh recovering now in 2021 so one of the pandemic years we observed 879 million trips going back to this number of tourists this is about 4.2 trips on average per person who actually makes trips this represented 4.3 billion Knights which comes down to about 21 nights per year per person who participates in tourism in the smaller print you see that it's a predominantly domestic trips so people are making trips within their own country of course 2021 was a bit of a typical year there because of the pandemic and about 41 of the trips are of a duration of four nights or more the other trips of one to three nights indeed the two pie charts below you can see that photo trips abroad the preferred destination for Europeans it's basically other European countries only relatively few people go uh outside the EU with about five percent of the foreign trips in 2019 before the pandemic were to America and another five percent to Asia and a little bit to Africa and Oceania as well and finally in terms of expenditure your residents spend about 300 billion uh Euro on tourist trips um yeah and finally one last slide before we go to the next speaker we as our director said introduction even if this is so-called the traditional statistics we also try to constantly improve and expand what we can offer to users um so the last slide is about this one aspect is a tourism satellite accounts it's um it's a macroeconomic framework to to measure the the economic Imports of the of Tourism for the European economies as was mentioned in 2019 the gross value added uh because of Tourism was 575 billion Euro which is 4.5 percent of the uh the gross the total gross value added in the EU so it's it's definitely not an important sector of the economy uh but please show the next slide um we also beside tourism satellite accounts we also try to better use existing uh official statistics to improve the granularity as I said tourism is a very uh local or Regional phenomenon so uh we are now looking with the countries into uh providing monthly data foreign level we are working on indicators to monitor the sustainability of Tourism we also try to explore new sources and methods uh the fact that everybody has a mobile phone or a smartphone also open also opens perspectives for having more interactive surveying methods we are also looking to mobile network operator data payments car data and the online platform's data and I think I can get close with the words online platforms later because this nicely brings us to the rest of the webinar thanks for your attention thank you Kristoff and uh as Christoph said we will now go over to another eurostat colleague Simon blay who uh also works in the tourism statistics unit and he'll talk about short stay accommodation offered via online platforms so over to you sign thank you Tim and um thank you Christoph for the nice segue to to my presentation I'm going to start with some fun facts about the platform about the data well their facts anyway you decide if they're fun um can we see yes thank you please show the first slide so in 2019 Paris was the most popular city destination in the EU with uh almost 50 million nights spent in short-term rental accommodation and in each reference here that we have so far it was the most popular city followed by Barcelona and Lisbon next slide please um and we have data up to September 2022 so for the first three quarters of 22 and in these three quarters around 450 million guest nights were spent in apartments booked at Airbnb booking Expedia or TripAdvisor and this corresponds to about 38 million bookings which uh if you calculated this ends up being the 100 bookings per minute that our director quoted in the introduction next slide please we know this because of the short above for the the platforms project that I'm going to present to you in the next eight minutes next slide please so what am I am I going to talk about in the next minutes I'm going to give you a brief overview about the agreements with the platforms how they're structured what's so Innovative about those then I'm going to move over to the data itself I'm going to explain which kind of data is available and where you can access that which will not come as a surprise to you if you've been following Kristoff's presentation and then finally I'll show some Snippets of the data some snapshots some interesting excerpts from the data next slide please so a brief overview over the project how does it works so we have data sharing agreements with four big International operators in the short term rentals Market namely Airbnb booking.com Expedia group and TripAdvisor these four platforms they send us data uh aggregated at local levels so it's not Micro Data that is like one line of data per per house or per listing but it's merged at uh municipality level so we have one line for each uh what we call local administrative unit which is basically a commune we at yours that um we validate this data we merged it we produce output tables and on the one hand these tables then serve as a basis for the data we publish on eurobase and for the articles that we publish on our website but on the other hand and this is a very important aspect of the project these output tables they go to the countries so to the National statistical Institutes which we do for two reasons uh one you can probably imagine that they would want to use it for their own products this is the one reason and the second reason is that they provide additional quality assurance because they know their local markets they have access to additional data sources and they can check if what we're doing makes sense next slide please now that's the the one aspect that's uh experimental or Innovative about the project this effect that we get the data not from surveys but from uh from the platforms from the private economy the other less obvious aspect that is new or experimental is that what you this is not usually what eurostat does what usually happens is that the field work or the collection of data happens at the national statistical institutes or is even further delegated to Regional Offices so they collect the data and then it goes Upstream to eurostat and is published all along the way but also at eurostat now here is the other way around the data is actually collected and he arrested and is then sent out to the 27 National statistical institutes we do this because we wanted to provide a single data entry point for each of the four platforms imagine if the platforms would have data sharing agreements with each of the 27 member states that it wouldn't really follow the what we like to call the subsidiarity principle which means that you would if you have an objective then you're supposed to reach it with the lowest expenditure of resources um next slide please moving away from this tangent what kind of data is actually available or is coming out of this what is coming out of this um we have three variables so the number of states the number of knights spent the number of guest nights we have uh this data is available monthly at country that's one and that's two Regional levels and actually the the country data is quite recent so the latest data that we published in January this is for q322 so for the summer season the date is already online at the lower level so and that's three level and City level it's only annual data for now and we have some breakdowns of the origin of guests and some very few accommodation characteristics what's covered is what we call Holiday Insurance day accommodation so what you imagine is probably pretty close to what actually is in the definition so Apartments rooms houses Villas houseboats Etc whatever you can rent on Airbnb Etc um let's move on to the next slide how can you access this content it's all on our website so the link is below and if you go there you get links to the data um to the beta database to eurobase where you can download the data there should also be links where you can download it in in Excel format so this should be possible um through the website you get to the database and you also get a series of Wiki articles that look at the monthly data and the annual data and takes also a closer look about the impact of the pandemic um now if we go on to the next slide I'm going to start my short data tour what's the kind of insights or the kind of analysis you can do with the data that we have what's available so if you look at this um in the first three quarters of 2020 so January through September we had 450 million guest nights it's not surprising that this is a huge growth compared to last year because last year was still heavily affected by covid-19 as we all know especially in the first six months so it's not really surprising then it's more than last year but it's also a bit more than 2019 which previously was um our record here so to say and if you look at the graph on the right side you can see that 2019 levels are exceeded by quite a big margin in the summer months and if you compare compare this to the similar graphic that Kristoff showed a few minutes before you can see that uh what we call platforms tourism actually exceeds the pre-pandemic levels whereas traditional nights and traditionals accommodations is at the pre-pandemic level so it's growing a bit faster at least that's how it looks like with our data let's move to the next slide please what we also have is a regional data due to the nature of the agreements with the platforms this is lagging a bit behind so the latest that we have available here is the second quarter q22 and um these show the most popular regions in that time frame so the most popular regions were in France Spain and Italy and there are five regions with more than 4 million guest nights each and I think there's some overlap with the most popular regions that Kristoff mentioned earlier for example I see Paris and Barcelona next slide please finally we also have data at City level and there are you can easily so this is not for all cities but there's some kind of threshold that we apply so we only cover the cities with major touristic importance but those are all in the sets of about 250 cities that we cover and yeah the most popular of these you all know them Paris Barcelona Lisbon Rome Madrid Etc next slide please and the final bit of data that I want to look at is um the impact of the pandemic so the map on the left shows the decrease in guest Nights from 2019 to 2000. 20. um so all the red areas so had a huge decrease up to 60 percent the light blue areas had a minor decrease up to 15 and the dark blue areas even had an increase of of tourists from 2019 to 2020 and those regions most of them are in Germany France and some some in Poland some in Sweden and if you look at the breakdown by origin of the guests you can see that in these countries there's a high share of um tourists that travel within the country so domestic tourists in this share stayed almost the same if you compare 2019 or the share did not stay the same it increased but the absolute number stayed the same which means that these countries were less affected by border closings or stuff like that because the tourism that was mostly domestic and that was less affected than the international tourism now finally in the next slide please to end the presentation a bit on a sad note because I guess that's what you're supposed to do or not I'm doing it anyway the limitations of the data what what you can't do with it um we're getting from the platforms capacity data so the number of beds or the number of texts that are available per municipality but we can publish it now or today because there's an overlap between what we get from the different platforms and we can't really de-duplicate it and finally you also can't directly compare it to the other data that Kristoff presented before because there might be states that are accounted for in both data sets so it's not possible to directly compare them and finally we also have no price data that's just not part of the agreement all right that brings me to the end of my presentation thank you for listening and stay in touch I put my email address there I think and thanks for your attention thank you Simon so now for our final presentation we have Kirsty Allah who is a policy officer from what we know as the tourism from the tourism unit in the directorate general for internal Market industry entrepreneurship and smes otherwise known as DG grow so Kirsty and potato thank you very much team and good afternoon to everyone uh so after the two great presentations of the tourism statistics I will give you a few words about the tourism policies and how they link to the tourism statistics in the EU next slide please uh the framework for the current tourism policies is uh something called transition pathway for tourism and what this something is it is a collaborative process with which we actually developed last year uh through a co-creation with public and private stakeholders across the EU and understanding of what types of actions and targets we should have that would support clean transition and digital transition of the tourism ecosystem so that they would help at the same time recover from the previous crisis like covet and to build the resilience for ongoing and future crises so we work together and the slide changed vanity do you see the whole slide still or maybe it was my fault by my my screen so uh so what came up from this process after the eight months of co-creation we developed a policy report that was published a year ago and this describes 70 actions on 27 action areas so this report is actually available on the Publications office website in 22 languages so if you haven't had a look at it yet I only welcome you to download it and read it So currently we are in the face of implementing this action which is based on the collaboration in its creation and that is what we are now calling for also its implementation so we are calling the stakeholders to present their own pledges on what type of action they would take to contribute to the collective action on these 27 action areas we are then supporting uh facilitating collaborations and giving visibility the best practices in order to help the whole tourism Community to advance together next slide please so why this is relevant for the tourism statistics because the stakeholders recognize very early on in the discussions that the statistics uh statistics are a key part of the transition as well so there the stakeholders highlighted that action is needed to develop the current tourism statistics so that they would also include information on the economic environmental and social impact of Tourism that they would consider not only National level but also destination level data and measurements and that they would be better access to data also from private providers like we saw in the previous presentation for producing officer statistics and a key action was to support the EU tourism dashboard as a policy tool that could support following environmental digital and socio-economic aspects of Tourism so there's this one whole area of action areas that is dedicated to data and indicators but also it's recognized the data indicators are the key to support other action areas there is a topic on developing the transparent and fair framework for short-term Railway Services where the data sharing is a key issue improving destination management requires the well-formulated database decision making models and information and there's also the tourism strategies on Regional or national level should be based on indicators and sound data so in all overall and across the transition pathway for tourism it's highlighted that the measurements and data available are key for well-informed decision making next slide please here I will show some examples of the stakeholder plexes like I said we have actually been collecting the blood seeds from our stakeholders already in two rounds and we have 260 plexes which are then distributed for the different topics and currently the topic number three which you see in red is the one photo statistics and data and it is one of the most addressed topics with 23 separate pledges on there next slide please and these slides these are plet series are coming from different types of organizations which is very good considering that different actors need to be involved so we see that the highest number of places are coming from the national administrations but also ngos are working actively in collaboration with a different level of administrations in developing the data and measurement capacity and activities next slide please so an example Blitz that we have received from a stakeholder shows on the screen now this is actually coming from the statistical Office of the of Slovenia and it shows that in their country they have actually included development of Tourism indicators in their new tourism strategy so they are pledging that by 2025 they will have developed new indicators on the economic performance of Tourism sustainability of Tourism and digitalization tourism and they will make these indicators available on their website regularly every year a next slide please so that was one example of the flat sis and there are plenty more so I will in the end of the presentation you will see links and there you can see many other places but now to another key policy development of the tourism uh to the European accent for tourism 2020 to 2030 sorry so in last December we finally uh agreed or the council agreed between the member all the member states and in the collaboration with the commission of what would be could Council conclusion of the European art center for tourism that would support and build on the recognized Lines by the stakeholders so these Council conclusions are underlining the importance of data collection and sharing in the short term rental area they invite all the member states to work on improving the availability of statistics and data sharing and specifically invite the commission to further develop the EU tourism dashboard to enhance the tourism statistics data to include economic social cultural and environmental sustainability and to support member states and stakeholders in implementing interoperable data serving next slide so these closure conclusions are giving concrete targets for us to work on for one of the targets is addressing the short-term rentals there is currently a legislative proposal on developing data sharing for achieving a fair and transparent short-term rental markets and this is one of the key objectives of the European art center for tourism and will help also in developing the official statistics in this area another key objective is stated by it by the council conclusions that there would be revised EU framework for tourism statistics which would include indicators now also on the economic environmental and social impacts of Tourism that there would be open public data sets in in tourism research that could be used for developing tourism services and a specific indicator mentioned in these conclusions is also following the number of organizations that have EU Eco label or EMAs registering and the EU tourism dashboard is also highlighted here as a key deliverable as it is and with continuous development further next slide please because actually now I will show you a couple of examples on this uh EO tourism dashboard this was published in October 2022 by the science research center and it hot sand shows new indicators that are supporting the policy with the key issues on the clean transition digital transition and socioeconomic resilience the data photo dashboard comes from different sources which is one of the Innovations in it it's combining data from the eurostat European environmental agency Euro control and also doing its own web scraping efforts it is showing to indicators on National level and Regional levels even going down to not three the data is available and it is continuously updated and further developed with new indicators which are planned to be always updated around the October every year key users for this tool are the tourism policy makers at National Regional local levels but of course you can also use them as SUVs because it's openly available in the URL shown on the screen so now a couple of examples next slide please tourism intensity meaning the night spends by inhabitant is one of the example indicators that you're going to explore from the from the EU tourism dashboard here you see how it highlights in certain areas where the tourisms are putting high pressure for for the uh for the region and this can indicate a risk for over tourism and here you can also see that it's very important to explore these things on the regional level because if you would have been looking only at the national uh Aggregates or national averages you wouldn't see this colorful pixel like you see now the next slide please another example I want to show you is just to example that for every key policy pillar the environmental impact of digitalization and social economic resilience we have also composite indicators which shows on different data points the EU average value and again speeds you can compare the different countries and their values and of course there are many other indicators many other functionalities and many other views in the tourism dashboard but I'm not going to use your time here now I invite you to visit the dashboard and see it yourself so the next slide please this is also my final slide because I want to conclude by is assuring you that tourism statistics are high on the policy agenda as you saw they are one part of the tourism transition pathway and the collective action of the tourism stakeholders they are part of the EU agenda for tourism where they are concretely supported by the member states and invited accents by the European commission there are several ongoing process where we are supporting data and measurements and their development for example DC reform technical support instruments it's currently supporting seven countries to develop their tourism-related indicators and data sharing and we are of course also following the work of the unwto who is developing a statistical framework for measuring the sustainability of Tourism because several EU member states are involved and this may also be a good contribution to our efforts on developing new accurate-based to develop tourism so as a final conclusion DC grow eurostat EU member states we are all committed from the policy aspect to support the generation sharing and development of new and better ways to to support and measure economic environmental social impacts of Tourism data statistics are important for us thank you very much for your attention and looking forward to questions and answers thank you Kirsty so now we will go over to the Q a uh session with our panelists can I remind you again about slido where you can pose questions hello and questions have been coming in already in number so we have some to answer but if you want to get yours in um feel free to add them to slido um any that we do not have time to get to we will uh attempt to answer later via slido or we will direct you to our support uh hotlines where we where you can get them answered um we I see we have around 15 minutes to do q a because we like to be on time so we will start the first question is how is inflation affecting tourism in the EU and I think Kirsty was going to have give her uh her input on this thank you team well actually we don't have any forecasting services on really trying to estimate by numbers uh what would be the impact but we do have some uh feeling that we get from the discussion with our stakeholders currently what we know and and the impact that we are hearing is that the energy costs are a big part of the fixed costs of the hurricane of the exhibitions transports and so on so it seems to be that the price cost of providing the service is then transferred to the price and the tourists are still willing to pay for that this year but it's not anymore sure if they will be paying and willing to pay for that next year so it might be that this leads to Falling demand in tourism Services uh if the inflation continues like that another specific impact there is that because the prices can be fixed by the moment of reservation so some of the tourists are trying to get really early bookings right now but the providers are not necessarily willing to give a booking for something that might have a completely different price in eight months so there might also be a supply grants coming we don't see it yet but there are some indications that this might be coming so yes there will be in the impossible for the demand post for the supply but maybe more in if the interest inflation continues throughout this year thank you Kirsty our second question is would you include the whole horeka sector into tourism or only parts of it and for those who aren't familiar with the abbreviation horica is hotels restaurants and Catering uh Christoph I think you can answer this oh thanks actually I talked to the CNA was for cafes for catering but I don't know anyway anyway it's it's a let's address the the question of the of the participants uh in my presentation I mentioned that we also published information on tourism Industries and actually there the challenge is that within for instance the turnover of hurricane it's difficult to distinguish uh between uh what is served to tourists and to non-tourists I think for accommodation it is a relatively obvious that it's mainly to tourists although accommodation can also include accommodation for students or for seasonal workers but the bulk will be tourists for restaurants it's diff it's more difficult you can ask a restaurant or an Enterprise in that sector to report on their turnover but you cannot ask how many meals they serve to tourists and how many meals they serve to locals or or commuting workers um so the date on tourism statistics basically takes it as 100 as a whole but I also mentioned at the end of the presentation this work in progress which is called tourism satellite accounts and there the challenge is actually to to calculate within each industry ratios of what part of the for instance turnover employment is directly related to tourists and which is not which part is not related to tourists I I only have some information for one country for Czech Republic for instance and they they told us that for hotels it's about 90 that is directly attributable to tourists for restaurants and cafes they estimate to be around 33 so the other 67 being uh spending by by locals I mean by non-terrorists thank you Kristoff so our third question which I think will be for Simon is uh somebody was having was trying to download the experimental data but couldn't read them with Excel is there a problem I think so I'm gonna yeah um I mean it should work I'm not sure if I can share my screen in this setting but I can explain what the steps are so basically if you go to our website to the database and you click on one of the tiny icons that bring you to our data browser you then get the table that you you want to view or you want to download and there's a small download button in the top right where you can select spreadsheet and it takes a while to assemble the download but then once it downloads you should be able to do the next I just tried it myself and it did work so if there's any technical problems that you have there's also a help desk that you can contact if it doesn't work yeah we'll put our user support email address in in slido and if you if you have problems you can contact them and they can give you advice uh the fourth question was do you have data about tourism tax at Union level such as the revenue and ways of reinvesting the revenue um I'm going to answer this myself because I've just had a quick look in the database and as far as I can see our tax data is not at that level of granularity so the tourism tax would be rolled up into a broader category so probably now unless any of the other panelists wants to contradict me I do not believe we have uh data as detailed as tourism tax uh um and in that so I'll move on to question five we're speaking about short-term rentals do you have data about how much this practice influences housing economy in general sales prices and rents I'm not sure who's going to take question five is that uh that's me okay so yeah generally at yours that we don't actually do that much analysis of the data we provide the tools and leave that to to others to our stakeholders to the data users but what I can say is that we do have all the data or all the tools here that you would need for such an analysis we have the the platforms data that I just presented we have um price data so information on on house prices and prints over time it's available in-house and of course also population data so you could look at the intensity indicators from guest nights versus residents um and you could compare that to the price data so it's all there but we don't really do it ourselves okay thank you and the next question is for Kristoff I believe can you tell me more about data related to trips for professional reasons what what activities are covered how are the data collected are they reliable but thanks for the question uh as I as I mentioned a part of our data is collected through household surveys so basically uh the typical example is uh every three months statistical officers send out surveys or contact people asking to uh asking about trips they might have made in the the three months preceding the interview so one of the questions if they report on a triple B was it for private or professional reasons so this is how we come to this uh to this result professional reasons can be I mean meetings conference is a visiting a business clients and so on I mean the typical uh reasons for for a business trip um so it's collected via household survey which is typically a sample survey so there's always some some sampling variation and minor quality issues with sampling surveys uh but but we're confident that the data is a good quality I didn't report in detail on this but in I mean in the pre-pandemic Years business trips was about 10 of the uh the trips made by tourists I actually had a slide showing the completely different pattern of seasonality for the say laser Crips compared to business trips which is not surprising but it didn't make my final edits so we do have data on that uh I didn't look into any recent data but of course I would expect that these figures or the share of business trips became lower after 2020. thank you Kristoff then uh one more question any forecast on the reopening of China on European European tourism and any prediction on the impact of Syrian turkey earthquake on tourism in 2023 and the first thing I would say is that uh we don't make forecasts but I believe uh Christoph was going to say something about this issue yeah we we traditionally try to use the the past to explain the future uh I I mean it it's not in the past five minutes that we had time to analyze the the data for for China but we we published an article on EU China at tourism links uh a few years ago um at that time and I think it was between 2006 and 2016 the number of tourists from China to the EU had tripled in a 10 year experience so it's definitely a a segment that is uh is I mean even if as I showed in the presentation uh tourism in Europe is is often a domestic tourism and if people go abroad they often travel within Europe uh so the let's say the the extra European flows are are not that significant but still important and in that flow China is playing a more and more important role again I mean things might have changed in the past years because let's say the European borders were a bit more close than usual for tourists and on the the Syrian turkey earthquake as yeah as was mentioned we I mean we have the data on on the previous months on the previous years but we don't interview people on on uh sentiments or intentions for the months to come that's I think traditionally not part of official statistics okay thank you and then and the next question is where can we find which regions within countries are considered mountain regions where we get data tables for these like we do for coastal areas um I'm going to say something first and then I'll let the others chip in I had a quick check we do publish data on Mountain areas in our database and it we have an interactive tool called statistics Illustrated which uh shows a map of Europe with the mountain areas shown um so we do we do uh publish some data on this and of course the data we publish on Mountain areas will go wider than tourism alone it will be other other area other data for these for these areas I mean Simon or Christoph is there anything you can say about Mountain areas mountain regions um no I'd say the the uh the regional typologies that we use that are not like the nuts administrative regions it's uh on the one hand as the user pointed out coastal areas versus non-coastal areas which is relatively easy to determine it's I mean it's the uh it's all municipalities that are bordering the sea or that have half of their territory within 10 kilometers uh from the sea with I mean some metallurgical challenges with estuaries and so on is Hamburg Coastal or not there's there has been discussions on that um but for mountains now we we also have a breakdown into uh urban and rural typology but mountains specifically not but I agree it would be an interesting topic to look into especially now that the uh now that it's the season of winter tourism so it's uh it's probably something we can take up in the future for I mean one of the additional things and I mean we would also need to see I mean we don't want to reinvent the water and decide what mountain regions are so if other work is being done in Euros that we can use the same um let's say classification of regions to look into that uh Kirsty can I pass this on to you in the dashboard work that you have been doing with the joint Research Center is there uh work on on predominantly mountain or predominantly Coastal these kind of things I'm not sure um they they are currently planning a new update and a new indicators and those new indicators would be then separating to different typologies of Tourism so yes they are considering to different types of data Mountain tourism Coastal tourism and so on but uh not specifically showing Mountain tourism with the current implementation okay thank you and and again I I urge you to take a look at the regions and cities Illustrated tool which shows data not just for Regions and cities but metropolitan areas Urban rural degree of urbanization border regions coastal regions Island regions mountain regions and outermost regions so we do show have data by a wide range of regional categorizations I think we've just got time to squeeze in one last question which I believe is to Kirsty which is what are the accommodations included in the short-term rentals legislation uh the one is it the ones in nice 55.2 except hostels or just home locations discussion so I I can't say what are the results of the discussion but currently the inter proposal and the version that I'm seeing now it is exactly this so it's the group of 50 55.2 except hostels thank you and I think we're nicely on time so I'll wind it up now if there's any other questions that go through in slido we'll try and answer them and slider or direct you to our support services so I'd just like to end by saying thank you to all our presenters Sophie Christoph Simon and Kirsty um I hope you've enjoyed this uh webinar uh I've got two little housekeeping points to make first of all we will put a survey up on slide okay so can I urge you not to shut down your browser and all your windows immediately but please answer our survey that we'll put up on slide though because it's useful information for us and our statisticians we love surveys um and the second uh little point of housekeeping I'd like to say is that we have some more uh webinars coming up um if you're interested uh next week we'll be doing key figures on the European Foods chain which is um a webinar around one of our recent Publications uh uh following food from Farm to fork and then on the 6th of March we will be doing a webinar uh in uh in association with International women's day and we'll be doing a webinar on statistics on women in science technology and research so you are very welcome to log in for those webinars I would will finish by just reminding you once more to complete the survey uh thank you all for listening thank you to all our presenters for their time and effort foreign