sus ainabili y
A icle
Accommoda ion, Seasonali y and Domes ic Tou ism o Na ional
Pa ks: Implica ions o En i onmen al Policy
Flo a Ma ia Díaz-Pé ez 1, Ca los Gus a o Ga cía-González 1and Alan Fyall 2,*


Ci a ion: Díaz-Pé ez, F.M.;
Ga cía-González, C.G.; Fyall, A.
Accommoda ion, Seasonali y and
Domes ic Tou ism o Na ional Pa ks:
Implica ions o En i onmen al
Policy. Sus ainabili y 2021,13, 5072.
h ps://doi.o g/10.3390/su13095072
Academic Edi o : Jose
And es Coca-S e aniak
Recei ed: 25 Ma ch 2021
Accep ed: 27 Ap il 2021
Published: 30 Ap il 2021
Publishe ’s No e: MDPI s ays neu al
wi h ega d o ju isdic ional claims in
published maps and ins i u ional a il-
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Copy igh : © 2021 by he au ho s.
Licensee MDPI, Basel, Swi ze land.
This a icle is an open access a icle
dis ibu ed unde he e ms and
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A ibu ion (CC BY) license (h ps://
c ea i ecommons.o g/licenses/by/
4.0/).
1Depa men o Applied Economics and Quan i a i e Me hods, Uni e si y o La Laguna,
38071 La Laguna, Spain; [email p o ec ed] (F.M.D.-P.); [email p o ec ed] (C.G.G.-G.)
2Rosen College o Hospi ali y Managemen , Uni e si y o Cen al Flo ida, O lando, FL 32819, USA
*Co espondence: [email p o ec ed]
Abs ac :
The analysis o seasonali y and domes ic ou ism om he pe spec i e o he accommo-
da ion sec o has, o da e, been unsa is ac o ily s udied in he domain o isi o s o na ional pa ks.
In ligh o he scale o accommoda ion de elopmen and i s c ucial ole in ou ism, mos no ably
wi h ega d o en i onmen al impac , in-dep h knowledge abou accommoda ion ma ke segmen s
and hei speci ic cha ac e is ics and pa e ns o beha io a e in eg al o he de elopmen o ou ism
policy. In he con ex o domes ic ou ism, unde pinned by an unde s anding o he heo y o planned
beha io and push-and-pull mo i a ions, his s udy examines seasonali y and accommoda ion ype
used by isi o s o na ional pa ks in he small islands o he Cana ies, Spain wi h he objec i e
being o design he mos app op ia e en i onmen al ou ism policy. By adop ing a Mul inomial
logis ic eg ession model wi h 1671 su eys ca ied ou , he s udy concludes ha domes ic isi o s
demons a e a highe p opensi y o selec en i onmen al- iendly accommoda ion ypes du ing he
high season. A he same ime, esiden s who isi he pa ks in high season assess he lowes alue o
he p ese a ion le el o he pa ks’ na u al esou ces.
Keywo ds:
season; ype o accommoda ion; domes ic isi o s; na ional pa ks; mul inomial logis ic
eg ession model; p ese a ion le el
1. In oduc ion
The s udy o ou ism seasonali y om he speci ic pe spec i e o he accommoda ion
sec o has, o da e, been unsa is ac o ily s udied in he academic li e a u e om an empi ical
pe spec i e. Ne e heless, since he cons uc ion o any o m o new accommoda ion has
a signi ican en i onmen al impac gene ally, and especially on small islands e i o ies,
in-dep h knowledge abou hose ma ke segmen s wi h he highes p opensi y o selec
en i onmen al- iendly o ms o accommoda ions is c i ical.
Fo he impac o seasonali y on des ina ions, clea ly he economic impac is o pa -
icula impo ance. An economic a ionale gene ally go e ns he de elopmen o ou is
egions [
1
]; wi h emphasis in mos des ina ions on he high o “peak” season. Howe e ,
due o i s con ibu ion o o e coming nega i e en i onmen al e ec s, s udying low-season
cha ac e is ics may be a use ul complemen , since a educed numbe s o ou is s could
help p ese e he des ina ion’s na u al esou ces mo e e ec i ely.
Al hough seasonali y in he Cana y Islands is low, i is possible o dis inguish wo
seasons: om No embe o Eas e (high season), and om he end o Eas e o Oc obe (low
season). Due o i s a o able clima ic condi ions, win e is included in he high season o
he islands ha comp ise he Cana ies. Ne e heless, domes ic ou is s ha e a ema kably
di e se beha io wi h sociological and/o ins i u ional easons (such as school aca ion
pa e ns) explaining why summe con inues o ep esen he “peak” season.
Small island e i o ies gene ally a e mo e agile and su e g ea e de e io a ion [
2
,
3
]
han mainland des ina ions. Thus, since any kind o new accommoda ion building has
a huge impac on small island e i o ies, he ques ion o which accommoda ion ype is
Sus ainabili y 2021,13, 5072. h ps://doi.o g/10.3390/su13095072 h ps://www.mdpi.com/jou nal/sus ainabili y
Sus ainabili y 2021,13, 5072 2 o 26
chosen by isi o s may be o a pa icula in e es o hose de e mining en i onmen al policy.
In ac , as he na u al esou ces a e di e se so a e he e ec s o ou ism on hem: highly dis-
o ganized land occupa ion (cons uc ions o la ge blocks o ho els, apa men s, es au an s,
e c.) and was e gene a ion, o example. In such ins ances, excessi e de elopmen o he
ou ism “p oduc ” can unde mine he o e i sel , making he des ina ions less a ac i e
o ou is s.
Mo eo e , ou is ac i i y is in ensi e in he consump ion o space. Tou is s and
employees demand space o housing, es au an s, leisu e enues, and a he same ime
consume sca ce esou ces such as wa e in addi ion o using he land as a was e holde .
Hence, wi h he mass-de elopmen and mass-consump ion o ou ism, he e comes an
excess o space consump ion, wi h pa icula challenges o small island s a es in gene al.
In e es ingly, as ou ism is concen a ed in a eas o educed size, he e is usually a
apid and uno ganized g ow h o p i a e cons uc ion. In ac , by lea ing de elopmen o
he p i a e sec o , wi hou app op ia e egula ions, a “ ee ide ” p oblem can occu : he
in es o s should coope a e wi h each o he o p e en de e io a ion o he en i onmen ,
bu in eali y, one in es o will maximize i s bene i s i he o he s main ain he en i onmen
and o e use i . In si ua ions such as his, ma ke balance is achie ed wi h a widesp ead
o e u iliza ion o he common good, in his case he en i onmen .
Na ional pa ks a e na u al a ac ions globally ha a e o in e es o a g owing numbe
o ou is s [
4
,
5
]. Ha ing he cha ac e is ics o p o ec ed a eas, hey p o ide a se ies o
asse s ha con ibu e o he main enance o biodi e si y and en i onmen al quali y as well
as elemen s ha can be conside ed ec ea ional, he apeu ic, spi i ual, cul u al, a is ic o
educa ional [
6
]. In addi ion o hese in angible se ices p o ided by na ional pa ks, ano he
se o angible se ices such as guides, ba and es au an se ices, mobili y, secu i y,
e c., can be conside ed as well. These angible aspec s compose he pa k’s po olio o
se ices [
7
]. Ano he key componen o hei a ac i eness is a clea sky, p o ec ed in
he speci ic con ex o Spain by a law de eloped o pu poses un ela ed o he na ional
pa ks bu a he o gua an ee he quali y o he as onomical obse a ion a Izaña (Isla de
Tene i e) and Roque de los Muchachos (Isla de la Palma). This ea u e can be an added
a ac ion, and no a less impo an one, o i s landscape c ea ed by an imp essi e geology,
lo a and endemic auna.
The case ocus o his s udy, he Cana y Islands, ecei es annually six imes he
numbe o ou is s as i s o al popula ion [
8
]. Due o he la ge numbe o ou is isi s
o he Cana y Islands Na ional Pa ks (CNP) ( wo ou o h ee ou is s) he de elopmen
o con ol measu es wi hin he amewo k o he island’s ou ism policy a e necessa y
gene ally, and pa icula ly wi h ega d o he conse a ion o essen ial na u al esou ces.
The e o e, he de elopmen o a s udy whe e all he a iables abo e (domes ic/ o eign
isi o s, accommoda ion ype and seasonali y) a e included is a equi emen o imp o e
he decision-making p ocess in he case o na ional pa ks in he speci ic con ex o he
Cana y Islands.
1.1. Tou ism and I s Impac on he En i onmen
The ela ionship be ween sus ainable ou ism and he en i onmen can be desc ibed
as symbio ic. In ac , ou ism p oduc ion is nou ished by he na u al he i age on which
i depends. In his sense, ou ism has he capaci y o gene a e ex e nal bene i s om he
en i onmen , con ibu ing o en i onmen al p o ec ion and conse a ion. Indeed, we
can obse e how ou ism makes he local popula ion and ou is s become mo e awa e o
en i onmen al alues. I can also se e as an ins umen o inance he p o ec ion o na u al
a eas [
9
]. As s a ed by Ruiz [
10
] (p. 348). “Sus ainabili y implies a a ional ela ionship
be ween man and na u e”. Sus ainable ou ism can be achie ed by c ea ing “bo om up”
social sys ems in e es ed in sha ing expe iences, ideas and esou ces [
11
]. In his con ex ,
he egional scale has been ecognized [
12
] as being app op ia e o he implemen a ion o
local pa icipa i e ac ions aimed a he sus ainable de elopmen o des ina ions. Howe e ,
a he same ime, he nega i e impac s o ou ism should no be igno ed, since hey can
Sus ainabili y 2021,13, 5072 3 o 26
g adually des oy he en i onmen al esou ces on which ou ism depends. In his sense,
i is a gued ha ou ism has become sensi i e o and, simul aneously, dependen on a
high-quali y en i onmen [13].
Many ou is ac i i ies ake place in agile ecosys ems, such as p o ec ed na u al a eas
o small islands. An ecosys em is a geog aphical a ea ha includes all li ing o ganisms
(people, animals, plan s and mic oo ganisms), hei physical en i onmen (land, wa e and
ai ) and he na u al cycles ha sus ain hem [
9
]. Howe e , he cons uc ion o ho els and
ec ea ional in as uc u es gene a es sewage pollu ion, was ewa e ha pollu es i e s,
lakes, o hinde s ma ine biological cycles. In addi ion, many na ional pa ks globally a e
a ec ed by a ic conges ion and excessi e numbe s o isi o s [
14
]. Mo eo e , small
islands a e conside ed he mos ulne able ecosys ems in he wo ld [
15
]. The physical
impac s o ou ism on hese islands could lead o he deg ada ion o hei ecosys ems ha
a e aluable ou ism asse s wi h an abundance o hei species.
1.2. Cons uc ion and I s Impac on he En i onmen
The cons uc ion sec o is conside ed o be one wi h a high capaci y o d i e he econ-
omy. This sec o is capable o s imula ing economic g ow h due o i s induced backwa d
and o wa d e ec s on o he sec o s [
16
–
19
]. Howe e , cons uc ion ac i i ies also ha e
a da k side [
20
] o he ex en ha he apid expansion o cons uc ion can cause a a ie y
o di icul - o-sol e challenges mainly o a spa ial (land occupa ion) and en i onmen al
na u e [
19
–
23
]. In his sense, a cons uc ion boom can lead o nega i e e ec s, such as he
o e p oduc ion o building s ock [
23
] o he in ensi ica ion o en i onmen al de e io a ion
h ough u ban sp awl pollu ion and des uc ion o ege a ion. In ecen decades, he
emphasis on he nega i e e ec s o cons uc ion has ocused on en i onmen al s ess and
sus ainabili y issues. Speci ically, he mos conside ed e ec s ha e been he en i onmen al
deg ada ion gene a ed by pollu ion, he damage caused o na u al esou ces and u ban
sp awl. Speci ically, i is wo h men ioning he des uc ion o lo a and auna, he use o
ma e ials ha m ul o human heal h, and ca bon emissions caused by buildings and he
pa icula me hods o p oduc ion and design [
19
]. These nega i e e ec s ha e made he
concep o sus ainable cons uc ion lou ish, which has become widesp ead and applied,
especially in mo e de eloped coun ies [24].
The concep o sus ainable cons uc ion en ails, among o he aspec s, he goal o
educing ca bon emissions om buildings, he use o ecycled ma e ials and he use o
cons uc ion echniques ha ha e ewe ha m ul e ec s on he en i onmen [
25
–
27
]. These
goals ha e been achie ed by he go e nmen s o se e al de eloped coun ies h ough he
implemen a ion o plans based on “G een building” echniques and he implemen a ion o
en i onmen al quali y ce i ica ions [
28
]. In addi ion o hese speci ic measu es, he e a e
many communi ies ha ask hei go e nmen s o u gen ly adop poli ical ac ions such as
ins i u ional changes, o land use con ol measu es o help educe he nega i e e ec s o
cons uc ion ac i i ies [16,20,22,27].
1.3. Seasonali y
Conside able e o s ha e been made by ou ism policymake s o educe seasonali y
in many des ina ions. This is because i has been iewed as he eason o p oblems de i ed
om peaking and o e use o acili ies and esou ces. In ac , seasonali y has been de ined
by Bu le as a ‘ empo al imbalance in he phenomenon o ou ism, which may be exp essed
in e ms o dimensions o such elemen s as isi o numbe s, isi o expendi u e, highway
a ic and o he o ms o anspo a ion, employmen and admissions o a ac ions’ [
29
]
(p. 5). The e o e, looking o a be e balance in he numbe o ou is s coming along
each yea should be a ou ism policy a ge . In his espec , and in o de o measu e he
seasonali y o ou is a i als o a pa icula des ina ion, a a ie y o quali a i e e ms can
be used such as seasonal index o ac o s (using 12-mon h mo ing a e ages), Skewness,
Ku osis o Gini coe icien [
30
]. In any case, he choice o measu e will depend on he
esea ch ques ion and he deg ee o de ail equi ed.
Sus ainabili y 2021,13, 5072 4 o 26
Rega ding he easons o seasonali y, hese can be ound no only in na u al ac o s,
bu also in ins i u ional o social ac o s’ [
31
,
32
]. Re e ing o na u al ac o s, one o he
mos s udied by he li e a u e is he clima e [
1
,
33
–
35
], bu he e a e o he ac o s ela ing o
social issues, spo s seasons (ski, su ), and also o ine ia and adi ion [
29
]. Des ina ions
based on clima e condi ions as he main ou is a ac ion, o example ski [
36
] o sun and
sand ou ism [
37
,
38
] su e a s uc u al seasonali y p oblem. On he o he hand, social
no ms and p ac ices ( aca ion pe iods, eligious pilg images, cong esses and con en ions)
can play a de e minan ole in o he des ina ions. In his espec , he cha ac e is ics o
demand, in e ms o he ypes o ou is s and hei coun ies o o igin, o example, can
gene a e clea seasonali y p ac ices [39–42].
Di e en s udies ha e shown how ou is s’ coun ies o o igin explain he way hey
beha e in e ms o seasonali y [
43
,
44
]. A he same ime, only a ew pape s ha e ocused
he s udy o ou ism seasonali y om he pe spec i e o he accommoda ion sec o [
45
–
47
].
Those s udies ha e been o ien ed o he analysis o p oduc i i y, o he de e minan s o
mul i-des ina ion ou ism ips, being he accommoda ion an explana o y a iable in he
analysis, bu no an ou come.
1.4. Tou ism in Small Islands
Tou ism o islands is second only o his o ical ci ies when i comes o isi a ion le -
els [
48
] and his esul is no abou pe capi a isi a ion. Howe e , small islands cons i u e
agile sys ems wi h high physical and socio-cul u al complexi y. The educed size o he
e i o y and he physical condi ions o insula i y inc ease hei ulne abili y and exposu e,
o a g ea e ex en han a con inen al e i o y, o hei social and na u al sys ems o he
impac s o na u al agen s o o local o isi ing popula ions. In gene al, hese islands
ha e high biodi e si y and unique landscapes. They also depend g ea ly on impo ed
p oduc s and a e subjec ed o g owing p essu e o he de elopmen o ou ism. The
abo e ci cums ances can de e employmen in hese small island e i o ies as well as
discou aging he use o simila cons uc ion and design me hods o na u al ou ism ha
can be seen in con inen al e i o ies [
15
,
49
,
50
]. The e o e, due o he agile sys em small
islands cons i u es, he concep o ca ying capaci y should be applied o he s udy o
ou ism [51–55].
The a ailabili y o quali y na u al esou ces (landscape, pu e a mosphe e, clean sea
wa e , e c.) and unique cul u al asse s a e wha de e mine he a ac i eness o small
islands in he con ex o he wo ld ou ism ma ke . The de elopmen o he ou ism sec o ,
howe e , has an ambi alen impac . On he one hand, i gene a es economic esou ces o
he local popula ion, ac ing as an economic engine o small a eas, such as islands. On
he o he hand, when ou ism demand eaches le els o o e c owding, i con ibu es o a
de e io a ion o na u al esou ces, which, when excessi e, gene a es ad e se impac s in
hese e i o ies. The p oblem is ha as he ou is en i onmen deg ades his in u n a ec s
he supply o ou is goods. This esul s in a displacemen o ou ism demand owa ds
segmen s wi h ewe ecological impac s and less o e c owding, which subsequen ly leads
o he de e io a ion in hei en i onmen .
1.5. Objec i es and Resea ch Ques ions
The p ima y objec i e o his esea ch is o examine isi o s’ accommoda ion choices
when isi ing na ional pa ks in he Cana y Islands acco ding o hei domes ic (Cana y
Island) esiden o non- esiden s a us and he impac o hese choices on he p ese a ion
o he na u al en i onmen . Ul ima ely, he aim is o de elop di e en ia ed s a egies o
each g oup depending on hei g ea e o lesse impac on he en i onmen whe e hey s ay.
In pa icula , he s udy aims o explo e he mos ele an en i onmen al ou ism policy
ecommenda ions o na ional pa ks in he Cana y Islands and hei insula en i onmen .
Indeed, he s udy o ou ism seasonali y om he pe spec i e o he accommoda ion sec o
o esiden isi o s has been unsa is ac o ily s udied in he academic li e a u e. In ac ,
no ele an pape has included he accommoda ion chosen by he ou is as a dependen
Sus ainabili y 2021,13, 5072 5 o 26
a iable when adding he season and place o esidence as independen a iables. Ne e -
heless, since he cons uc ion o any kind o new accommoda ion has signi ican impac
on small island e i o ies, he in o ma ion abou he ma ke segmen s wi h he highes
signi icance in luence on ce ain ypes o accommoda ion o his kind o islands may
be c ucial.
Wi h he gene al objec i e o achie ing a be e unde s anding o he applica ion o
a speci ic s a is ical echnique, he mul inomial logis ic eg ession model (MLRM), he
app oaches se ou abo e lead o he ollowing speci ic objec i es o his s udy:
(1)
To achie e a be e unde s anding o he ela ionship among he ollowing a iables
and hei ca ego ies: accommoda ion, coun y o o igin and seasonali y when s udy-
ing he popula ion o isi o s o a na ional pa k.
(2)
To be e unde s and he in luence o seasonali y in he con igu a ion o he di e en
segmen s o he ou ism ma ke s cu en ly isi ing he na ional pa ks, dis inguishing
domes ic (Cana y Island) esiden om non- esiden isi o s.
(3)
To unde s and he pe cep ion o each segmen o isi o s on he p ese a ion o
na u al esou ces
(4)
To inco po a e, o he i s ime, a MLRM (mul inomial logis ic eg ession model)
as an e ec i e and e icien me hod when analyzing he men ioned h ee a iables—
seasonali y, accommoda ion ype and esiden /non- esiden o igin o he ou is .
(5)
Finally, i is expec ed ha his s udy leads o he de elopmen o app op ia e plans
aimed a achie ing en i onmen al objec i es, h ough he con ol o he ype o
accommoda ions dis ibu ion h oughou he yea in he con ex o he Cana y Islands.
Based on he abo e objec i es, his esea ch se s ou o es he ollowing hypo heses
applicable o ou ism ma ke segmen a ion:
Hypo hesis 1 (H1).
I is possible o conduc a quan i a i e analysis o he seasonali y o he
accommoda ion used by he ou is , and pa icula ly when di e ences in domes ic (Cana y Island)
esiden s and non- esiden isi o s’ beha io is a main esea ch opic.
Hypo hesis 2 (H2).
Seasonali y has a s ong in luence on he accommoda ion ype o he pa icu-
la case o domes ic (Cana y Island) esiden ou ism.
Hypo hesis 3 (H3).
Domes ic isi o s (Cana y Island esiden s) ha e a di e en pe cep ion o he
na u al esou ces p ese a ion s a us in na ional pa ks.
Hypo hesis 4 (H4).
Fo hose empi ical s udies in which no con inuous a iables a e conside ed,
choosing he accu a e dependen (accommoda ion o p ese a ion alue) and independen a iables
(domes ic/non- esiden o seasonali y) will be e ec i e using a MLRM.
O cou se, he e ec i eness and e iciency a e gua an eed as he esea che has enough
da a o apply he analysis o he poin o achie ing he esea ch objec i es. In he pa icula
case o his pape , a ep esen a i e sample o he o al popula ion o isi o s o Cana y
Island na ional pa ks du ing he 2016–Janua y 2020 pe iod was used.
2. Ma e ials and Me hods
2.1. Theo e ical Unde pinning
The heo y o planned beha io (TPB) is among he mos ci ed social science heo ies
ha a e used o explain beha io [
56
] and one o he mos widely applied heo ies in
ma ke ing esea ch [
57
]. TPB aims o de elop he pa h owa d beha io al in en ion by
ocusing on h ee p ima y componen s; hese a e an indi idual’s a i ude owa d a be-
ha io (posi i e o nega i e p edisposi ion o unde lying a i ude), hei subjec i e no ms
(likelihood ha signi ican o he s app o e o disapp o e o a pa icula beha io ), and
hei pe cei ed beha io al con ol (di icul y pe cei ed in pe o ming a beha io ) [
58
].
The heo y has demons a ed i s u ili y in p edic ing indi iduals’ in en ions o engage

Sus ainabili y 2021,13, 5072 6 o 26
in ce ain beha io s o a ying deg ees h ough he li e a u e. Fo example, by using a
me a-analysis, Han and S oel [
59
] iden i ied signi ican (p< 0.001) ela ionships among he
TPB componen s o a i ude and subjec i e no ms wi h indi iduals’ pu chase in en ions.
The heo y has also been used o p edic and e alua e socially esponsible beha io s, such
as sus ainable beha io s [
60
]; g een ho el isi a ion [
61
], ene gy conse a ion [
62
], and
sus ainable anspo a ion [
63
] ha e all been examined. Mo eo e , wi hin he ma ke ing
con ex , TPB may aid p ac i ione s in u he ing hei unde s anding o hei a ge ma ke
segmen s [64].
People ha e a ying ypes and deg ees o wan s and needs ha canno be ul illed
h ough any one pa icula ma ke ing p oposal [
65
]. The e o e, ma ke e s mus de elop
ways o a ge hei e o s owa d ce ain g oups, and segmen a ion is one me hod ha
can be used o achie e hei goal. Ma ke segmen a ion in ol es dissol ing la ge, di e se
consume g oups in o smalle , mo e uni o m clus e s [
66
]. De eloping ma ke segmen s
a o ds ma ke e s a mo e comple e unde s anding o a pa icula g oup, which ul ima ely
in o ms mo e di ec and p oduc i e ma ke ing ini ia i es [
67
]. Howe e , ma ke e s need
o iden i y how hey would like o de ine and de elop hei a ge segmen s. Bases o seg-
men a ion exis o di iding g oups wi hin he ma ke ing li e a u e. Fo example, g oups
may be di ided based on socio-demog aphics (gene a ion, educa ion), beha io al cha ac-
e is ics (in ol emen le el, usage a e), o psychog aphic ac o s (li es yle, i.e., ad en u e
o elaxa ion) [
68
]. People’s a i udes and beha io s can se e as bases o ma ke ing seg-
men a ion [
69
]; including beha io al and psychog aphic in o ma ion allows ma ke e s o
de elop a deepe unde s anding o hei a ge ma ke beyond basic demog aphic da a [
64
].
The e o e, TPB may help iden i y a ge ma ke segmen s since i elies on indi iduals’
a i udes and beha io s o p edic ou comes.
In addi ion, ou ism esea ch has long ocused on wha ac o s d i e ou is s’ a el
decisions [
70
]. Mo i a ion has been iden i ied as a p ima y d i e o ou is s’ a el
beha io s [
71
]. O e ime, schola s ha e shaped and ad anced he unde s anding o
he ole mo i a ion plays in ou is s’ decision-making p ocesses (e.g., [
72
]). Al hough
a ious heo e ical pe spec i es exis , he push-pull mo i a ion amewo k has emained
one o he dominan lenses h ough which a el mo i a ion has been s udied [
73
,
74
]. The
amewo k can be used o unco e why ou is s make ce ain des ina ion- ela ed decisions,
such as isi ing one des ina ion o e ano he [
75
]. Push-pull mo i a ion e ol es a ound
wo p ima y concep s; push (pe sonal desi es and in e nal mo i es) and pull (ex e nal
des ina ion cha ac e is ics) [
74
,
76
]. Push ac o s include he need o ad en u e, i ness,
heal h, knowledge, o elaxa ion [
77
,
78
]. Pull ac o s may e ol e a ound he acili y quali y,
s a demeano , p ice [
73
], en e ainmen alue, o singula i y [
78
]. Mul iple push and
pull a iables o en play signi ican oles in d i ing di e en ou is s’ mo i a ion-d i en
beha io s [
79
], including he decisions o na u e-based ou is s [
80
], who demons a e a
ange o mo i a ions ela i e o hei des ina ion en i onmen [81].
2.2. Cha ac e is ics o Da a Collec ion
This s udy is quan i a i e in na u e, hus, in o de o ha e a p ecise knowledge o
isi o s o he Cana y Islands Na ional Pa ks (CNP), a s uc u ed ques ionnai e di ided in o
wo sec ions was de eloped. A i s sec ion wi h ques ions aimed a ob aining in o ma ion
conce ning he mos ou s anding cha ac e is ics o he popula ion unde s udy, among
hem, ype o accommoda ion o place o esidence. The second sec ion includes all o he
ques ions aimed a collec ing in o ma ion ela ed o he speci ic objec i es o his esea ch,
such as season (high o low). An ad-hoc su ey was hen ca ied ou om 2016 o Janua y
2020, allowing a much mo e p ecise knowledge abou he isi o s o he pa ks. The isi o s
we e in e iewed in a ace- o- ace p ocedu e o a ound 15 min.
The ad-hoc su ey allowed us o ob ain a much mo e p ecise knowledge o isi o s
o he NP, wi h he ollowing composi ion: (1) Visi o s om mo e han 20 coun ies, wi h
he highes pe cen ages o non- esiden isi o s being Ge man and B i ish; (2) Domes ic
ou ism ep esen ed a ound one hi d o he o al popula ion o isi o s.
Sus ainabili y 2021,13, 5072 7 o 26
On he o he hand, and wi h espec o he eam o in e iewe s, hey we e selec ed
acco ding o hei language skills (English, Spanish, Ge man, F ench and Russian), hus
esponding o he languages mos equen ly used by isi o s o he Cana ian Na ional
Pa ks as a whole. This allowed each esponden o be in e iewed in his o he own
language. Once selec ed, he in e iewe s we e speci ically ained o ca y ou he su ey.
Fo example, in he case o isi s by o ganized g oups o amily o iends, he in e iew
was ca ied ou wi h a single membe o he g oup o amily uni and he in e iews we e
dis ibu ed among he di e en isi poin s, acco ding o he app oxima e equency o
isi s o each poin .
The in e iewees we e selec ed andomly using he simple andom p obabilis ic
sampling p ocedu e, and we e in e iewed in si u in he di e en a eas o he Cana y
Islands NP. Fo example, in he case o Teide Na ional Pa k, in e iews we e conduc ed
in he ollowing a eas: Co dada de Ga cía, in on o he Pa ado , Mi ado del Llano de
Ucanca, Pa ado de Tu ismo and in he Po illo a ea. Fo Calde a de Tabu ien e Na ional
Pa k, in e iews we e conduc ed a he Cumb eci a iewpoin , Roque de los Muchachos
and he Ba anco exi . In he case o Timan aya Na ional Pa k, isi o s we e in e iewed a
Echade o de los Camellos and Mon añas de Fuego. In he case o Ga ajonay, isi o s we e
in e iewed a he main access poin s o he pa k.
Su eys we e conduc ed in wo phases du ing he pe iod o 2016–2020. The i s phase
was conduc ed in he high season in win e and included Eas e . The second was in la e
sp ing and ea ly summe which is low season on he Cana y Islands.
2.3. Va iables
The a iables conside ed in he analysis a e o se e al ypes: economic (high/low sea-
son), a el cha ac e is ics ( ype o accommoda ion, Na ional pa k isi ed), psychological
(p ese a ion pe cep ion) and geog aphical (coun y o esidency o he ou is ). In ela ion
wi h he coun y o esidency o he ou is , wo di e en modali ies a e s udied, domes ic
(Cana y Island) esiden s and non- esiden isi o s. The ou come ‘ ype o accommoda ion’
is classi ied in ou modali ies: (1) ho el, (2) apa men , u al o en ed houses, (3) own
house, amily o iend’s house and (4) c uise, camping and o he s (see Table 1). Due o he
low pe cen ages o he emaining ca ego ies, we ha e g ouped hem in he las one due o
he equi emen s o he s a is ical model ega ding he a ailabili y o he da a.
In e e ence o he ype o accommoda ion and conside ing ha any kind o new
building will des oy he en i onmen deeply and ha ‘c uise, camping and o he s’ has an
e ec on he pollu ion, as well, i is possible o s ablish a classi ica ion om he modali y
wi h he highes nega i e e ec on he en i onmen o he one wi h he lowes e ec . Such
an o de will be as ollows: (1) ho el, (2) apa men , u al co age o en ed houses, (3)
c uise, camping and o he s and (4) own house, amily o iend’s house.
In o de o es ablish he p e ious classi ica ion, we ha e conside ed ‘new cons uc ion’
o be ou limi ing c i e ion, which is jus i ied by he a gumen s collec ed by he au ho s in
he li e a u e e iew. In o he wo ds, his s udy pa s om he idea ha es ablishmen s
ha a e al eady buil and a e no new ou is ic cons uc ions gene ally ha e a lesse impac
on he e i o y and i s na u al esou ces han hose ha a e newly buil wi h he sole
pu pose o ou is ic de elopmen . Indeed, ho els and apa men buildings buil o ou ism
ep esen a g ea e impac a he momen o hei cons uc ion in e ms o occupancy and
soil con amina ion han, o example, o he s ha a e simply ehabili a ed o his pu pose
and ha we e al eady pa o he local scene y. Following his logic, using p i a e houses
o amily and iends as ou is ic accommoda ions would be he es ablishmen s wi h he
leas amoun o impac on he en i onmen .
Fo seasonali y, ollowing [
30
] and in o de o measu e i o he Cana y Islands,
Figu e 1shows ha seasonali y is no exclusi ely concen a ed in he summe mon hs, bu
is in ac dis ibu ed h oughou he yea , wi h Ma ch and Oc obe s anding ou abo e
he es . Fu he mo e, we can e i y ha he skewness is nega i e al hough qui e low,
app oaching 0 (symme y) o he las wo yea s. Hence, he peaks would be ound in
Sus ainabili y 2021,13, 5072 8 o 26
he second hal o he yea . Rega ding ku osis, we ealize ha , o e he yea s, i s alue
inc eases, going om being pla yku ic o lep oku ic. The e o e, he peaks would be
accen ua ed o e ime, ma king seasonali y.
Table 1. Va iables.
Va iables Ca ego ies (%)
Residen (Cana y Islands) (1) Non- esiden 80.4
(2) Residen 19.6
Season (1) High 64.9
(2) Low 35.1
Accommoda ion
(1) Ho el 44.1
(2) Apa men , u al o en ed house 29.6
(3) Own house, amily/ iend’s house
21.6
(4) C uise, camping and o he s 4.7
Accommoda ion Inside (1) Sleeping ou side he pa k 85.7
(2) Sleeping wi hin he pa k 14.3
Na ional Pa k
(1) Ga ajonay 5.0
(2) Calde a Tabu ien e 4.4
(3) Teide 84.4
(4) Timan aya 6.2
P ese a ion
(1) Low (0–5) 4.4
(2) Medium (6–8) 36.5
(3) High (9–10) 59.1
Sou ce: P epa ed by he au ho s wi h da a om he ques ionnai es.
Figu e 1. Seasonali y o he numbe o ou is s’ a i als o he Cana y Islands (2016–2019).
Ano he a iable included in he analysis is he Cana y Islands na ional pa ks, namely:
Ga ajonay, Calde a Tabu ien e, Teide and Timan aya (see Figu e 2). In Spain, he e a e
di e se ypes o na ional pa ks (NPs), he Cana y Island Na ional Pa ks a e some o hese.
Howe e , e en among he Cana y Island NPs, you can ind di e ences. Fo example,
wi hin he Teide, Ga ajonay and Calde a de Tabu ien e NPs going o walks and hiking in
he pa ks a e allowed. By con as , in he Timan aya NP i is o bidden o go hiking in o de
o p ese e he la a landscape as a na u al esou ce ha is conside ed an impo an pa o
he island’s na u al he i age by he local popula ion. In ela ion o accommoda ion, he e
Sus ainabili y 2021,13, 5072 9 o 26
a e some p i a e buildings inside he pa ks, bu ela i ely ew and new cons uc ions ha e
been banned. Cu en ly, some beds a e o e ed by he public au ho i ies in shel e s—no
p i a ely owned—and in camping a eas inside he pa ks. Ne e heless, he numbe o
beds o e ed wi hin he pa ks is limi ed due o he en i onmen al impac hey could ha e.
Figu e 2. The Cana y Islands Na ional Pa ks (CNP).
Finally, he a iable p ese a ion is in ela ion wi h he e alua ion o na u al esou ces
p ese a ion by he isi o s (low, medium and high).
2.4. Sampling Technique
Simple andom p obabilis ic sampling was used wi h 1671 su eys ca ied ou and
ieldwo k o ganized in wo phases. The i s phase o in e iews was made in he high
season on he Islands, including he Eas e pe iod. The second phase in low season
co esponded o la e sp ing, summe and beginning o au umn. A eliabili y o
±
2
δ
was
achie ed, as a unc ion o he sample size, n= 1671. The maximum es ima ion e o o he
p opo ions calcula ed on he o al o main a iables, unde he assump ion o dicho omy,
appea s in Table 2.
Table 2. The maximum es ima ion e o .
Va iable Maximum Es ima ion E o
Residen ±1.96%
Season ±2.29%
Accommoda ion ±2.38%
Accommoda ion_Inside ±1.68%
Na ional Pa k ±1.74%
P ese a ion ±2.37%
No e: The p opo ion o he mos o en ca ego y is used.
Table 3shows he sociodemog aphic p o ile o he pa icipan s ha comple ed he
su ey and how hey ela e o he ypical ou is s expec ed in he Cana y Islands. As
domes ic esiden s a e ou main esea ch objec i e, isi o s om he Cana y Islands a e
included in he hi d ca ego y o ‘place o esidence’ wi h a ele an p opo ion.
Sus ainabili y 2021,13, 5072 16 o 26
Pe haps by s aying longe and ou ing he pa ks ha e a close idea o he conse a ion
o na u al esou ces wi hin he pa k. Non- esiden s basically s ay in he pa k o only a
ew hou s.
3.2.2. C ossing o Con ingency Tables o SEAS_RESID wi h Type o Accommoda ion
In sea ching o he ole played by seasonali y in domes ic o non- esiden isi o s o
he CNPs, he dependen a iables conside ed in he mul inomial logis ic eg ession model
calcula ed ha e been accommoda ion. In e ms o independen a iables, we ha e chosen o
c ea e a a iable ha combines seasonali y (high and low) wi h he esiden o non- esiden
na u e o a ou is . Mo eo e , a e adding he a iable ‘season’ he independen a iable
chosen has been enamed SEAS_RESID wi h he ollowing ca ego ies: non- esiden —high
season, non- esiden —low season, esiden —high season and esiden —low season. I s
equency dis ibu ion appea s in Table 10.
Table 10. F equency dis ibu ion o SEAS_RESID.
SEAS_RESID F equency Pe cen
1. Non- esiden —high season 869 52.0
2. Non- esiden —low season 475 28.4
3. Residen —high season 215 12.9
4. Residen —low season 112 6.7
To al 1671 100.0
Sou ce: Da a om ques ionnai es.
We ha e me ged some ca ego ies o he a iable ype o accommoda ion o a oid null
equencies in he cells o he c ossing o con ingency ables wi h SEAS_RESID. So, he inal
s uc u e o he a iable includes he ollowing ou ca ego ies: (1) ho els (all ca ego ies); (2)
apa men , u al co age, en al house; (3) own house, amily o iend’s house; (4) c uise,
camping and o he s. The esul ing c ossing o con ingency ables o SEAS_RESID wi h
‘ ype o accommoda ion’ is shown in Figu e 7.
Figu e 7. Ba cha g ouped o ype o accommoda ion.
In Figu e 7we can obse e ha o esiden s ‘own house, amily o iend’s house’
is by a he mos equen ca ego y ela i e o he nex one, ‘apa men , u al, o en ed
house’, and ho els a e a a a hi d place. Despi e he weigh o ‘own house, amily o
iends’ house’ o his esiden segmen , i should be men ioned ha di e en beha io s

Sus ainabili y 2021,13, 5072 17 o 26
can be obse ed in his con ingency cha be ween esiden s who isi he pa ks du ing he
high and he low season: he la e use mo e o en ‘own house, amily o iend’s house’,
whe eas o he o me , ho els a e he es ablishmen used mo e o en.
Rega ding non- esiden s, he e a e no no able di e ences be ween high and low
season isi o s, bu he lesse ele ance o he ‘c uise, camping, o he s’ ca ego y should be
no ed o non- esiden s coming du ing he low season. Fo he o he ca ego ies, hei use is
nea ly he same as ha o non- esiden s.
3.2.3. Resul s om he Mul inomial Logis ic Reg ession Model Applica ion
A mul inomial logis ic eg ession model was pe o med o Type o accommoda ion
(dependen a iable) on SEAS_RESID (independen a iable coded using dummies).
The es included in Table 11 shows ha he independen a iable, SEAS_RESID, is
s a is ically signi ican (wi h a alue o Chi-squa e o 1357.587 and a alue p= 0.000
≤
0.05).
The e o e, he in luence o SEAS_RESID on Type o accommoda ion has been con i med.
In e e ence o he quali y o he MLRM, we also ge high alues (0.557 and 0.594) o he
pseudo R-Squa ed, so he model seems o be a good i . In his case, he pe cen age o
co ec classi ica ions o he Type o accommoda ion o each ca ego y o SEAS_RESID
achie es a easonable alue o 57.8%.
Table 11. Model Fi ing In o ma ion o Type o accommoda ion.
Model Fi ing C i e ia Likelihood Ra io Tes Quali y o MLRM
E ec -2Log Likelihood Chi Squa e D Sig. Cox-Snell
Nagelke ke
% Co ec classi ica ion
SEAS_RESID 1415.623 1357.587 12 0.000 0.557 0.594 57.80%
To in e p e he eg ession pa ame e s mo e easily, we conside he MLRM wi hou
in e cep (see Table 12). All he odds a ios and he es ima ed p obabili ies o each ca ego y
o he dependen a iable ‘ ype o accommoda ion’ appea s in Table 13 and Figu e 8.
Table 12. Pa ame e es ima es o he MLRM on ype o accommoda ion.
Type o
Accommoda ion
SEAS_R
ESID B S d. E o Wald d Sig. Exp B 95% Con idence
In e al (Exp B)
Ho el
1 1.908 0.132 209.330 1 0.000 6.742 5.206 8.732
2 3.622 0.383 89.464 1 0.000 37.429 17.669 79.286
3 2.140 0.748 8.196 1 0.004 8.500 1.964 36.790
4 1.386 0.645 4.612 1 0.032 4.000 1.129 14.175
Apa men ,
Ru al, Ren ed
House
1 1.473 0.136 116.552 1 0.000 4.364 3.340 5.702
2 3.190 0.386 68.411 1 0.000 24.286 11.404 51.717
3 2.015 0.753 7.164 1 0.007 7.500 1.715 32.796
4 1.946 0.617 9.940 1 0.002 7.000 2.088 23.468
Own House,
Family o
F iend’s House
1 0.015 0.173 0.008 1 0.931 1.015 0.723 1.426
2 1.638 0.413 15.716 1 0.000 5.143 2.289 11.556
3 4.505 0.711 40.153 1 0.000 90.500 22.462 364.632
4 3.232 0.589 30.150 1 0.000 25.333 7.992 80.304
No e: The e e ence ca ego y o ype o accommoda ion is ‘c uise, camping, o he s.
F om he analysis o he p e ious esul s, we can conclude ha :
Fo non- esiden isi o s, he e is no seasonali y e ec on he ype o accommoda ion
because he p obabili ies (and also he odds a io) a e e y simila o he high and low
seasons. Fo hese isi o s, he mos p obable ype o accommoda ion is a ho el (nea ly 50%).
This p obabili y is app oxima ely wo imes g ea e han he p obabili y o ‘apa men ,
u al co age o en ed house’ (see he odds a io o p1/p2 in Table 13).
Sus ainabili y 2021,13, 5072 18 o 26
Table 13. Odds a io o he ca ego ies o ype o accommoda ion.
SEAS_RESID p1/p4 p2/p4 p3/p4 p1/p2 p1/p3 p2/p3
1. Non- esiden —high season 6.742 4.364 1.015 1.545 6.642 4.299
2. Non- esiden —low season 37.429 24.286 5.143 1.541 7.278 4.722
3. Residen —high season 8.500 7.500 90.500 1.133 0.094
(10.638)
0.083
(12.048)
4. Residen —low season 4.000 7.000 25.333 0.571 (1.751) 0.158 (6.329) 0.276 (3.623)
Figu e 8. Es ima ed p obabili ies o ype o accommoda ion.
The beha io o esiden isi o s seems o be e y di e en because he mos p ob-
able ype o accommoda ion is ‘own house, amily o iend’s house’. In his case, he
seasonali y e ec appea s when we compa e, o example, he p obabili y o his ca ego y,
p3, wi h, o example, p1 (ho el) and p2 (apa men , u al co age and en ed house). In
he low season, he p obabili y o ‘ho el’ and ‘apa men , u al co age and en ed house’
is 29.5% (see he odds a ios o p1/p3 and p2/p3, espec i ely). Howe e , in he high
season, he p obabili y o ‘ho el’, and ‘apa men , u al co age and en ed house’ is only
14.9%. The e o e, we can conclude ha he domes ic isi o conside ably inc eases he
p obabili y o selec ing ano he ype o accommoda ion such as ‘ho el’ o ‘apa men , u al
co age and en ed house’ when changing om he high o low season, ins ead o ‘own o
iend’s/ amily’s house’.
A mul inomial logis ic eg ession model was also pe o med o p ese a ion as
dependen a iable on SEAS_RESID (independen a iable coded using dummies).
The es included in Table 14 shows ha he independen a iable, SEAS_RESID, is
s a is ically signi ican (wi h a alue o Chi-squa e o 999.980 and a alue p= 0.000
≤
0.05).
The e o e, he in luence o SEAS_RESID on P ese a ion has been con i med. In e e ence
o he quali y o he MLRM, we also ge high alues (0.454 and 0.510) o he pseudo
R-Squa ed, hus he model seems o be qui e a good i , as well. In his case, he pe cen age
o co ec P ese a ion classi ica ions o each ca ego y o SEAS_RESID eaches a alue o
59.7%. Conside ing he MLRM wi hou in e cep ion (see Table 15) esul s odds a ios and
es ima ed p obabili ies o each ca ego y o he dependen a iable “p ese a ion”, as i is
shown in Table 16 and Figu e 9.
Sus ainabili y 2021,13, 5072 19 o 26
Table 14. Model Fi ing In o ma ion o P ese a ion.
Model Fi ing
C i e ia
Likelihood
Ra io Tes Quali y o MLRM
E ec -2Log Likelihood Chi-Squa e D Sig. Cox-Snell Nagelke ke % Co ec
classi ica ion
SEAS_RESID 1042.748 999.980 8 0.000 0.454 0.510 59.7%
Table 15. Pa ame e Es ima es o he MLRM on P ese a ion.
Type o
Accommoda ion
SEAS_R
ESID B S d. E o Wald d Sig. Exp B 95% Con idence
In e al (Exp B)
MEDIUM
1 2.383 0.209 130.003 1 0.000 10.840 7.196 16.329
2 2.645 0.287 84.886 1 0.000 14.007 8.020 24.708
3 1.366 0.224 37.172 1 0.000 3.920 2.527 6.081
4 1.629 0.346 22.193 1 0.000 5.100 2.589 10.045
HIGH
1 3.118 0.204 232.742 1 0.000 22.600 15.141 33.735
2 3.045 0.284 115.021 1 0.000 21.000 12.039 36.632
3 1.281 0.226 32.102 1 0.000 3.600 2.311 5.607
4 1.609 0.346 21.586 1 0.000 5.000 2.536 9.859
No e: The e e ence ca ego y o P ese a ion is LOW.
Table 16. Odds a io o he ca ego ies o P ese a ion.
SEAS_RESID p2/p1 p3/p1 p3/p2
1. Non- esiden —high season 10.840 22.600 2.084
2. Non- esiden —low season 14.007 21.000 1.499
3. Residen —high season 3.920 3.600 0.918
4. Residen —low season 5.100 5.000 0.980
Figu e 9. Es ima ed p obabili ies o p ese a ion.
The column p3 (high)/p2 (medium) e lec s ha :
Fo esiden s, he e is no e ec o seasonali y on he highe p ese a ion sco es, as he
p obabili y ha hey will alue p ese a ion wi h a medium and high sco e in he high and
low seasons is qui e simila (odd- a io close o 1).
In he case o non- esiden s, di e ences do exis . To begin wi h, he p obabili y
ha hey alue conse a ion wi h a high a ing is 50% supe io o he medium a ing
in he low season and 100% in he high season. The e o e, he season does ha e an
impo an in luence.
Sus ainabili y 2021,13, 5072 20 o 26
The e o e, non- esiden s who isi he des ina ion in high season a e hose who gi e
he bes a ing o he s a e o p ese a ion o he pa ks’ na u al esou ces. Residen s who
isi he pa ks in high season, on he o he hand, a e he ones who gi e he lowes alue o
he s a e o conse a ion o he pa ks. This shows a e y di e en pe cep ion o he s a e o
conse a ion o na u al esou ces acco ding o he geog aphical o igin o he isi o s.
4. Discussion and Conclusions
The esul s achie ed d aw a en ion o he exis ence o a po en ial con lic o objec i es.
The a ailabili y o a ange o quali y na u al esou ces de e mines he a ac ion o an a ea
in he con ex o ou is ma ke s. Howe e , he de elopmen o he ou ism sec o and
he cons uc ion o buildings ha i en ails, ha e an ambi alen impac . On he one hand,
ou ism c ea es employmen and gene a es economic income, imp o ing he quali y o li e
o he local popula ion. On he o he hand, he de elopmen o his sec o , when i eaches
le els o mass ou ism de elopmen , esul s in a de e io a ion o na u al esou ces leading
ma ke s o an ad e se selec ion.
The in luence o seasonali y o domes ic o non- esiden isi o s on a iables such
as “accommoda ion” and “p ese a ion” has sca cely been ackled om an empi ical
pe spec i e. The e o e, he ocus on he accommoda ion o p ese a ion as he dependen
a iable wi h he wo o he s (season and place o esidence) as explica i e ones is an
impo an con ibu ion o his analysis. In his sense, looking o he bes me hodological
app oach o o e come he abo e di icul ies, he mul inomial logis ic eg ession model
(MLRM) may o e an e ec i e solu ion.
The main con ibu ion o his pape is de e mining di e ences in beha io be ween
domes ic (Cana y Island) isi o s and non- esiden isi o s. Fo example, he esul s
con i m ha esiden s who isi he pa ks in high season end o gi e he lowes alues
o he s a e o he pa ks’ conse a ion. By con as , non- esiden s who isi he pa ks in
high season gi e he highes alues o hei conse a ion. This shows he e y di e en
pe cep ions o he s a e o conse a ion o na u al esou ces acco ding o he geog aphical
o igin o he isi o s. This esul would no be possible in an analysis wi hou segmen ing
he ou ism ma ke by he domes ic/non- esiden a iable. Likewise, he success o he
analysis o segmen using he domes ic/non- esiden a iable in a des ina ion wi h a low
seasonali y is ano he impo an con ibu ion o his pape . In ac , no p e ious ele an
pape s ha e been ound wi h hese esul s.
The esul ing i ed model is in e p e ed wi hin he con ex o a speci ic applied
p oblem, analyzing he seasonali y o domes ic o non- esiden isi o s, conside ing he
ole played by “accommoda ion” chosen by isi o s o he CNP. Indeed, he impo an
ole ound o accommoda ion by season in he esul s has been use ul o de e mining
he cha ac e is ics ha seasonali y adds o his speci ic a iable. This is o a high impo -
ance due o he di icul y o inding signi ican da a o low season in he majo i y o
ou ism des ina ions.
Based on he esul s ob ained, he main conclusion is as ollows:
The i s hypo hesis is ul illed. The e o e, i is possible o pe o m a quan i a i e
analysis o he seasonali y o he accommoda ion used by ou is s, pa icula ly when di -
e ences in domes ic and non- esiden isi o s’ beha io is he main esea ch opic. The
second hypo hesis is con i med as well, as seasonali y has a s ong in luence on accommo-
da ion ype o he case o domes ic ou ism. Mo eo e , domes ic isi o s ha e di e en
pe cep ions o he na u al esou ce conse a ion s a us in na ional pa ks. The in luence
o he a iables season/ esiden –non- esiden on conse a ion has been con i med and
esiden s who isi he pa ks in high season a e he ones who gi e he lowes alue o
he pa ks’ conse a ion s a e. The e o e, he hi d hypo hesis is also ul illed. Finally, he
ou h hypo hesis is es ed o hose empi ical s udies in which no con inuous a iables a e
conside ed, choosing he accu a e dependen (accommoda ion o p ese a ion alue) and
independen a iables (domes ic/non- esiden o season) will be e ec i e using a MLRM.
Sus ainabili y 2021,13, 5072 21 o 26
This analysis can lead o he de elopmen o app op ia e ac ions aimed a achie ing
en i onmen al objec i es, h ough he con ol o ype o accommoda ion dis ibu ion
h oughou he yea in a des ina ion. In ac , he esul s highligh he impo an in luence
o season o domes ic isi o s o he Cana y Island na ional pa ks when choosing ype o
accommoda ion. In sum, and o his pa icula segmen , ‘own house, amily o iend’s
house’ a e used in he high season and ‘ho el’ o ‘apa men , u al co age and en ed house’
in he low one. Howe e , and by con as , o he non- esiden segmen , no signi ican
seasonali y e ec on choosing an accommoda ion was obse ed, o hese isi o s, he mos
p obable ype o accommoda ion is a ho el du ing all he yea . As a ele an esul , oo,
i is impo an o conside he di e en alue esiden s assess o he p ese a ion le el o
na u al esou ces, lowe in high season. O special signi icance is he case o isi o s ha
s ay inside he pa ks, hose ha e e y deep in o ma ion on he le el o p ese a ion o he
na u al esou ces, and i s alua ion is lowe han isi o s sleeping ou side he pa ks.
Policy Recommenda ions
In ligh o hese esul s, i should be eminded ha he main objec i e o his esea ch
is o unde s and he na ional pa k isi o s’ use o ou is ic accommoda ion acco ding o
hei esiden o non- esiden s a us and i s alue o he na u al esou ces p ese a ion.
Ul ima ely, he aim is o de elop di e en ia ed s a egies o each g oup depending on
hei g ea e o lesse impac on he en i onmen whe e hey s ay and hei pe cep ions.
In he analysis we ha e in oduced he ole o seasonali y based on he idea ha
he di e en segmen s’ beha io would di e acco ding o each season, and he esul s
ha e con i med his heo y. The applica ion o he logi model has clea ly shown ha
non- esiden s ollow a simila pa e n du ing he high and low season, s aying mos ly in
ho els. In con as , esiden s beha e di e en ly du ing each season.
Fu he mo e, seasonali y can indeed be seen as a condi ioning ac o o domes ic
isi o s o he island when choosing an accommoda ion es ablishmen . Thus, when de el-
oping a se o en i onmen al policies o ou ism whe e he isi o s o his ou is ic na u al
esou ce a e conside ed ( e e ing o na ional pa ks), policymake s will ha e o elabo a e a
single s a egy o be applied h oughou he yea o non- esiden s on one hand, and on
he o he , di e en measu es o domes ic isi o s depending on he season.
S a ing om a gene al p inciple o non-applica ion o small islands, such as simila
use o na u al ou ism policies as in con inen al e i o ies, he analysis allows us o e lec
on he mos ele an en i onmen al ou ism policy ecommenda ions o na ional pa ks
loca ed in small islands and hei insula en i onmen in gene al. Such ecommenda ions
could include:
Domes ic isi o s who isi he na ional pa ks in high season use hei own/ amily/
iends’ houses, which a e conside ed non-pollu ing accommoda ion. So, p omo ional
plans o domes ic ou ism o na ional pa ks and he islands in high season should p omo e
s aying mos ly in es ablishmen s ha a e no newly buil o in ones wi h he leas impac
on wa e , ai and land pollu ion le els. This would be he mos ecommended segmen
om an en i onmen al s andpoin . Howe e , domes ic isi o s ha come o he na ional
pa ks in low season should be included in p omo ional plans oo, as hey con ibu e
o balancing he numbe o isi s h oughou he yea . They s ay mo e equen ly in
apa men s, u al o en ed houses. Some o hese buildings may ha e en i onmen al
impac s as hey ha e in ol ed new cons uc ion while some o he s ha e no . The la e
is he case o u al co ages, which a e usually eno a ed buildings. The e o e, o hese
ypes o isi o s, he p omo ion s a egy should be o encou age hem o choose less o
non-pollu ing accommoda ion.
Addi ionally, no only p omo ional ac ions, bu o he kinds o measu es could be
implemen ed. Fo example, ax incen i es and subsidies o en ep eneu s ha decide o
eno a e u al houses and o e hem as ou is accommoda ion could be p o ided. Fo
bo h domes ic and non- esiden isi o segmen s, egula ions ha o bid he cons uc ion

Sus ainabili y 2021,13, 5072 22 o 26
o new ou is accommoda ions wi h a high land consump ion could be implemen ed. This
is pa icula ly impo an in small islands whe e he land is a limi ed esou ce.
Mo eo e , he e could be ini ia i es o he use o camping and shel e s in low season.
In high season, gi en he abundan numbe o isi o s s aying wi hin he pa k, his measu e
would no be possible due o i s po en ial en i onmen al impac . Thus, hese ini ia i es
could be managed in he low season by o e ing new places in camping o shel e s in
he a eas su ounding he na ional pa ks o by gi ing incen i es o special se ices. The
incen i es could be ela ed o ee o discoun ed bed o e s, o example. The new se ices
could include, among o he s, ee secu i y se ices in he camps o shel e s.
Fo bo h domes ic and non- esiden segmen s and speci ically o high season isi o s,
a ine could be imposed o beha io s ha gene a e nega i e en i onmen al impac s.
Examples o hese kinds o undesi able beha io s could be s epping on he la a in he
Timan aya o El Teide NPs o camping wi hou he equi ed au ho iza ion in La Calde a
Na ional Pa k.
The esul s show ha domes ic isi o s s aying wi hin he pa ks gi e he lowes alue
o he conse a ion s a us o na u al esou ces. Pe haps by s aying longe and ou ing he
pa ks, isi o s ha e a be e idea o he conse a ion o he na u al esou ces wi hin he
pa ks. This is ue o he ex en ha hose who s ay in he pa k will ha e a be e knowledge
o he s a e o conse a ion o he na u al esou ces since hey ou he pa ks. The e o e, i
would be impo an o ca y ou pe iodic su eys o his second g oup on hei assessmen
o he pa k. The su ey would also allow us o know hei demands o se ices om he
pa ks’ managemen bodies.
Mo eo e , i would be wo hwhile implemen ing some gene al ecommenda ions
based on he idea o sus ainable buildings, as es ablished in he li e a u e e iew. De el-
opmen o plans aimed a ehabili a ion a he han he new cons uc ion o ho el and
non-ho el es ablishmen s in he Islands. Encou agemen o he e olu ion o he cons uc ion
sec o on he Islands owa ds ‘g een building’ models, based on he use o non-pollu ing
ma e ials and he use o ene gy e icien p oduc ion p ocesses. P omo ion o en i onmen al
awa eness, il ing he demand o ou ism accommoda ion owa ds hose buildings ha
ha e been buil wi h clean echnologies.
Indeed, ou ism is no as ce ain beha io s seem o suppose, an economic ac i i y wi h-
ou main enance cos s. In addi ion o he in as uc u es, main enance and condi ioning
se ices a e needed ha also p e en de e io a ion o he na u al en i onmen .
Fo he u u e, deepe and mo e sus ained esea ch in o he accommoda ion sec o
and i s con ibu ions o ou ism mo e b oadly need o be in es iga ed, as does he ole
accommoda ion does, o mo e likely can, con ibu e o he wide sus ainabili y o des-
ina ions. No longe can accommoda ion be managed, o esea ched, in isola ion, wi h
i ep esen ing a co e and in eg al componen o he wide ou ism sys em. By way o
example: local lodging es ablishmen s such as Ai BnB ha e been banned by he Cana y
Islands go e nmen du ing mos o he pe iod when we we e doing he esea ch. Howe e ,
u al houses a e legal o ms o he accommoda ion es ablishmen , and hey ha e had
easonable occupa ion a es du ing he COVD19 c isis. The e o e, i would be bene icial o
u u e esea ch o p o ide some de ails on he complemen a i y o local accommoda ion
acili ies wi h local li e: he le el a which hey a e sha ed wi h he local popula ion, which
is ob iously essen ial o hei en i onmen al impac and he sus ainabili y o ou ism
as a whole. In his way, he e a e mo e han jus economic easons in ol ed in choosing
be ween high o low season, he e a e also social ones. As an example, in high season,
domes ic isi o s use hei own/ amily/ iends’ houses. This is mainly because in high
season, such as win e and Eas e , social habi s among he local popula ion gi e ise o
isi s o hei amily and iends o aca ions.
Sus ainabili y 2021,13, 5072 23 o 26
Au ho Con ibu ions:
Concep ualiza ion, F.M.D.-P. and A.F. ( om Janua y 2019); me hodology,
F.M.D.-P. and C.G.G.-G.; so wa e, C.G.G.-G.; alida ion, C.G.G.-G.; o mal analysis, C.G.G.-G.;
in es iga ion, F.M.D.-P.; esou ces, F.M.D.-P. and A.F.; w i ing—o iginal d a p epa a ion, F.M.D.-P.;
w i ing— e iew and edi ing, A.F. and F.M.D.-P.; isualiza ion, C.G.G.-G.; p ojec adminis a ion,
F.M.D.-P.; unding acquisi ion, F.M.D.-P. All au ho s ha e ead and ag eed o he published e sion
o he manusc ip .
Funding:
This esea ch has been suppo ed by unding om he Go e nmen o he Cana y Islands,
(Spain) and he Regional De elopmen Eu opean Fund (EU), Re . P oID201/010125. The E hics
Commi ee ha app o ed his esea ch was he Agencia Cana ia de In es igación, Inno ación y
Sociedad de la In o mación, ACIISI, Go e nmen o he Cana y Islands, Spain.
Ins i u ional Re iew Boa d S a emen : No applicable.
In o med Consen S a emen : No applicable.
Da a A ailabili y S a emen :
Supplemen a y con en ela ed o his a icle has been published online
a h ps:// igsha e.com/s/0474ce9871103709dda0 (accessed on 29 Ap il 2021).
Con lic s o In e es :
The au ho s decla e no con lic o in e es . The unde s had no ole in he design
o he s udy; in he collec ion, analyses, o in e p e a ion o da a; in he w i ing o he manusc ip , o
in he decision o publish he esul s.
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