Green taxes are an instrument for the development of many destinations where overtourism generates different externalities, helping to alleviate them and create sustainable tourism. Funds raised through green taxes can be used to finance conservation, environmental restoration, and sustainable development initiatives. However, these taxes are often unknown to tourists visiting a city and can often generate mistrust and even discomfort when they are forced to pay them. In terms of the management implications for destinations, green taxes should be seen and conveyed as a means to achieve both economic and environmental sustainability of destinations and not yet another tax to be borne by the tourist. For this reason, the aim of this study is to explore the factors that affect both the positive attitude and the willingness to pay these taxes. Thus, the opinion about green taxes of 120 university students from different countries were collected to use a structural equation model (SEM) to try to provide answers to the different hypotheses put forward. Young people represent a growing part of the tourism market, shaping the trends and practices of the sector, making them central to the future of tourism. The study seeks to deepen theoretical knowledge on this subject and to provide a series of conclusions and recommendations for education regarding green taxes. In addition, our study on green taxes has a direct relationship with the sustainable development goals promulgated by the United Nations, as both seek to promote balanced economic, social, and environmental development.
Citation: Cristina Ortega-Rodríguez, Julio Vena-Oya, Jesús Barreal, Barbara Józefowicz. How to finance sustainable tourism: Factors influencing the attitude and willingness to pay green taxes among university students[J]. Green Finance, 2024, 6(4): 649-665. doi: 10.3934/GF.2024025
[1] | Luigi Montoro, Berardino Sciunzi . Qualitative properties of solutions to the Dirichlet problem for a Laplace equation involving the Hardy potential with possibly boundary singularity. Mathematics in Engineering, 2023, 5(1): 1-16. doi: 10.3934/mine.2023017 |
[2] | Juan-Carlos Felipe-Navarro, Tomás Sanz-Perela . Semilinear integro-differential equations, Ⅱ: one-dimensional and saddle-shaped solutions to the Allen-Cahn equation. Mathematics in Engineering, 2021, 3(5): 1-36. doi: 10.3934/mine.2021037 |
[3] | Francesca G. Alessio, Piero Montecchiari . Gradient Lagrangian systems and semilinear PDE. Mathematics in Engineering, 2021, 3(6): 1-28. doi: 10.3934/mine.2021044 |
[4] | Filippo Gazzola, Gianmarco Sperone . Remarks on radial symmetry and monotonicity for solutions of semilinear higher order elliptic equations. Mathematics in Engineering, 2022, 4(5): 1-24. doi: 10.3934/mine.2022040 |
[5] | Elena Beretta, M. Cristina Cerutti, Luca Ratti . Lipschitz stable determination of small conductivity inclusions in a semilinear equation from boundary data. Mathematics in Engineering, 2021, 3(1): 1-10. doi: 10.3934/mine.2021003 |
[6] | Huyuan Chen, Laurent Véron . Weak solutions of semilinear elliptic equations with Leray-Hardy potentials and measure data. Mathematics in Engineering, 2019, 1(3): 391-418. doi: 10.3934/mine.2019.3.391 |
[7] | Marco Cirant, Kevin R. Payne . Comparison principles for viscosity solutions of elliptic branches of fully nonlinear equations independent of the gradient. Mathematics in Engineering, 2021, 3(4): 1-45. doi: 10.3934/mine.2021030 |
[8] | Yuzhe Zhu . Propagation of smallness for solutions of elliptic equations in the plane. Mathematics in Engineering, 2025, 7(1): 1-12. doi: 10.3934/mine.2025001 |
[9] | Antonio Greco, Francesco Pisanu . Improvements on overdetermined problems associated to the p-Laplacian. Mathematics in Engineering, 2022, 4(3): 1-14. doi: 10.3934/mine.2022017 |
[10] | Italo Capuzzo Dolcetta . The weak maximum principle for degenerate elliptic equations: unbounded domains and systems. Mathematics in Engineering, 2020, 2(4): 772-786. doi: 10.3934/mine.2020036 |
Green taxes are an instrument for the development of many destinations where overtourism generates different externalities, helping to alleviate them and create sustainable tourism. Funds raised through green taxes can be used to finance conservation, environmental restoration, and sustainable development initiatives. However, these taxes are often unknown to tourists visiting a city and can often generate mistrust and even discomfort when they are forced to pay them. In terms of the management implications for destinations, green taxes should be seen and conveyed as a means to achieve both economic and environmental sustainability of destinations and not yet another tax to be borne by the tourist. For this reason, the aim of this study is to explore the factors that affect both the positive attitude and the willingness to pay these taxes. Thus, the opinion about green taxes of 120 university students from different countries were collected to use a structural equation model (SEM) to try to provide answers to the different hypotheses put forward. Young people represent a growing part of the tourism market, shaping the trends and practices of the sector, making them central to the future of tourism. The study seeks to deepen theoretical knowledge on this subject and to provide a series of conclusions and recommendations for education regarding green taxes. In addition, our study on green taxes has a direct relationship with the sustainable development goals promulgated by the United Nations, as both seek to promote balanced economic, social, and environmental development.
The notion of intuitionistic fuzzy normed subring and intuitionistic fuzzy normed ideal was characterized by Abed Alhaleem and Ahmad in [10], after that the necessity has arisen to introduce the concepts of intuitionistic fuzzy normed prime ideals and intuitionistic fuzzy normed maximal ideals. Following the work of Emniyent and Şahin in [17] which outlined the concepts of fuzzy normed prime ideal and maximal ideal we implement the conception of intuitionistic fuzzy to prime and maximal normed ideals. After the establishment of fuzzy set by Zadeh [28] which showed that the membership of an element in a fuzzy set is at intervals [0, 1], many researchers investigated on the properties of fuzzy set because it handles uncertainty and vagueness, and due to its applications in many fields of studies. A lot of work has been done on various aspects and for the last 50 years, the relation betwee maximal and prime ideals has become the core of many researchers work. Swamy and Swamy in 1988 [27] presented the conceptions of fuzzy ideal and fuzzy prime ideal with truth values in a complete lattice fulfilling the infinite distributive law. Later, many researchers studied the generalization of fuzzy ideals and fuzzy prime (maximal) ideals of rings: Dixit et al [16], Malik and Mordeson in [22] and Mukherjee and Sen in [24]. The notion of intuitionistic fuzzy set was initiated by Atanassov [6], as a characterization of fuzzy set which assigned the degree of membership and the degree of non-membership for set elements, he also delineated some operations and connections over basic intuitionistic fuzzy sets. In [5], Atanassov introduced essential definitions and properties of the interval-valued intuitionistic fuzzy sets and the explanation of mostly extended modal operator through interval-valued intuitionistic fuzzy sets were presented in [4], and some of its main properties were studied. Banerjee and Basnet [13] investigated intuitionistic fuzzy rings and intuitionistic fuzzy ideals using intuitionistic fuzzy sets. In 2005 [20], an identification of intuitionistic fuzzy ideals, intuitionistic fuzzy prime ideals and intuitionistic fuzzy completely prime ideals was given. In [14], Bakhadach et al. implemented the terms of intuitionistic fuzzy ideals and intuitionistic fuzzy prime (maximal) ideals, investigated these notions to show new results using the intuitionistic fuzzy points and membership and nonmembership functions. The paper comprises the following: we begin with the preliminary section, we submit necessary notations and elementary outcomes. In Section 3, we characterize some properties of intuitionistic fuzzy normed ideals and identify the image and the inverse image of intuitionistic fuzzy normed ideals. In Section 4, we describe the notions of intuitionistic fuzzy normed prime ideals and intuitionistic fuzzy normed maximal ideals and we characterize the relation between the intuitionistic characteristic function and prime (maximal) ideals. In Section 5, the conclusions are outlined.
We first include some definitions needed for the subsequent sections:
Definition 2.1. [25] A linear space L is called a normed space if for any element r there is a real number ‖r‖ satisfying:
∙‖r‖≥0 for every r∈L, when r=0 then ‖r‖=0;
∙‖α.r‖=|α|.‖r‖;
∙‖r+v‖≤‖r‖+‖v‖ for all r,v∈L.
Definition 2.2. [18] A ring R is said to be a normed ring (NR) if it possesses a norm ‖‖, that is, a non-negative real-valued function ‖‖:NR→R such that for any r,v∈R,
1)‖r‖=0⇔r=0,
2)‖r+v‖≤‖r‖+‖v‖,
3)‖r‖=‖−r‖, (and hence ‖1A‖=1=‖−1‖ if identity exists), and
4)‖rv‖≤‖r‖‖v‖.
Definition 2.3. [1] Let ∗:[0,1]×[0,1]→[0,1] be a binary operation. Then ∗ is a t-norm if ∗ conciliates the conditions of commutativity, associativity, monotonicity and neutral element 1.
We shortly use t-norm and write r∗v instead of ∗(r,v).
Two examples of continuous t-norm are: r∗v=rv and r∗v=min{r,v} [26].
Proposition 2.4. [21] A t-norm T has the property, for every r,v∈[0,1]
T(r,v)≤min(r,v) |
Definition 2.5. [19] Let ⋄:[0,1]×[0,1]→[0,1] be a binary operation. Then ⋄ is a s-norm if ⋄ conciliates the conditions of commutativity, associativity, monotonicity and neutral element 0.
We shortly use s-norm and write r⋄v instead of ⋄(r,v).
Two examples of continuous s-norm are: r⋄v=min(r+v,1) and r⋄v=max{r,v} [26].
Proposition 2.6. [21] A s-norm S has the property, for every r,v∈[0,1]
max(r,v)≤S(r,v) |
Definition 2.7. [28] A membership function μA(r):X→[0,1] specifies the fuzzy set A over X, where μA(r) defines the membership of an element r∈X in a fuzzy set A.
Definition 2.8. [6] An intuitionistic fuzzy set A in set X is in the form IFSA={(r,μA(r),γA(r):r∈X}, such that the degree of membership is μA(r):X→[0,1] and the degree of non-membership is γA(r):X→[0,1], where 0≤μA(r)+γA(r))≤1 for all r∈X. We shortly use A=(μA,γA).
Definition 2.9. [7] Let A be an intuitionistic fuzzy set in a ring R, we indicate the (α,β)-cut set by Aα,β={r∈R:μA≥α and γA≤β} such that α+β≤1 and α,β∈[0,1].
Definition 2.10. [23] The support of an intuitionistic fuzzy set A, is denoted by A∘ and defined as A∘={r:μA(r)>0 and γA(r)<1}.
Definition 2.11. [2] The complement, union and intersection of two IFSA=(μA,γA) and B=(μB,γB), in a ring R, are defined as follows:
1)Ac={⟨r,γA(r),μA(r)⟩:r∈R},
2)A∪B={⟨r,max(μA(r),μB(r)),min(γA(r),γB(r))⟩:r∈R},
3)A∩B={⟨r,min(μA(r),μB(r)),max(γA(r),γB(r))⟩:r∈R}.
Definition 2.12. [12] Let NR be a normed ring. Then an IFS A={(r,μA(r),γA(r)):r∈NR} of NR is an intuitionistic fuzzy normed subring (IFNSR) of NR if:
i. μA(r−v)≥μA(r)∗μA(v),
ii. μA(rv)≥μA(r)∗μA(v),
iii. γA(r−v)≤γA(r)⋄γA(v),
iv. γA(rv)≤γA(r)⋄γA(v).
Definition 2.13. [9] Let NR be a normed ring. Then an IFS A={(r,μA(r),γA(r)):r∈NR} of NR is an intuitionistic fuzzy normed ideal (IFNI) of NR if:
i. μA(r−v)≥μA(r)∗μA(v),
ii. μA(rv)≥μA(r)⋄μA(v),
iii. γA(r−v)≤γA(r)⋄γA(v)),
iv. γA(rv))≤γA(r)∗γA(v)}.
Definition 2.14. [3] If A and B are two fuzzy subsets of the normed ring NR. Then the product A∘B(r) is defined by:
A∘B(r)={⋄r=vz(μA(v)∗μB(z)),ifr=vz0,otherwise |
Definition 2.15. [22] A fuzzy ideal A (non-constant) of a ring R is considered to be a fuzzy prime ideal if B∘C⊆A for a fuzzy ideals B, C of R indicates that either B⊆A or C⊆A.
In this section, we characterize several properties of intuitionistic fuzzy normed ideals and elementary results are obtained.
Definition 3.1. [8] Let A and B be two intuitionistic fuzzy subsets of the normed ring NR. The operations are defined as:
μA⊛B(r)={⋄r=vz(μA(v)∗μB(z)),ifr=vz0,otherwise |
and
γA⊗B(r)={∗r=vz(γA(v)⋄γB(z)),ifr=vz1,otherwise |
Therefore, the intrinsic product of A and B is considered to be the intuitionistic fuzzy normed set A∘B=(μA⊛B,γA⊗B)=(μA⊛μB,γA⊗γB).
Theorem 3.2. [10] Let A and B be two intuitionistic fuzzy ideals of a normed ring NR. Then A∩B is an intuitionistic fuzzy normed ideal of NR.
Example 3.1. Let NR=Z the ring of integers under ordinary addition and multiplication of integers.
Define the intuitionistic fuzzy normed subsets as A=(μA,γA) and B=(μB,γB), by
μA(r)={0.7,ifr∈5Z0.2,otherwiseandγA(r)={0.1,ifr∈5Z0.4,otherwise |
μB(r)={0.8,ifr∈5Z0.3,otherwiseandγB(r)={0.2,ifr∈5Z0.7,otherwise |
As μA∩B(r)=min{μA(r),μB(r)} and γA∩B(r)=max{γA(r),γB(r)}. Then,
μA∩B(r)={0.7,ifr∈5Z0.2,otherwiseandγA∩B(r)={0.2,ifr∈5Z0.7,otherwise |
It can be verified that A, B and A∩B are intuitionistic fuzzy normed ideals of NR.
Lemma 3.3. Let A and B be an intuitionistic fuzzy normed right ideal and an intuitionistic fuzzy normed left ideal of a normed ring NR, respectively, then A∘B⊆A∩B i.e, A⊛B(r)≤A∩B(r)≤A⊗B(r), where
A∩B(r)={(r,μA∩B(r),γA∩B(r)):r∈NR}={(r,min{μA(r),μB(r)},max{γA(r),γB(r)}):r∈NR}. |
Proof. Let A∩B be an intuitionistic fuzzy normed ideal of NR. Assume that A is an intuitionistic fuzzy normed right ideal and B is an intuitionistic fuzzy normed left ideal. Let μA⊛B(r)=⋄r=vz(μA(v)∗μB(z)) and let γA⊗B(r)=∗r=vz(γA(v)⋄γB(z)).
Since, A is an intuitionistic fuzzy normed right ideal and B is an intuitionistic fuzzy normed left ideal, we have
μA(v)≤μA(vz)=μA(r)andμB(z)≤μB(vz)=μB(r) |
and
γA(r)=γA(vz)≥γA(v)andγB(r)=γB(vz)≥γB(z). |
Thus,
μA⊛B(r)=⋄r=vz(μA(v)∗μB(z))=min(μA(v),μB(z))≤min(μA(r),μB(r))≤μA∩B(r) | (3.1) |
and
γA⊗B(r)=∗r=vz(γA(v)⋄γB(z))=max(γA(v),γB(z))≥max(γA(r),γB(r))≥γA∩B(r). | (3.2) |
By (3.1) and (3.2) the proof is concluded.
Remark 3.4. The union of two intuitionistic fuzzy normed ideals of a ring NR needs not be always intuitionistic fuzzy normed ideal.
Example 3.2. Let NR=Z the ring of integers under ordinary addition and multiplication of integers.
Let the intuitionistic fuzzy normed subsets A=(μA,γA) and B=(μB,γB), define by
μA(r)={0.85,ifr∈3Z0.3,otherwiseandγA(r)={0.2,ifr∈3Z0.4,otherwise |
μB(r)={0.75,ifr∈2Z0.35,otherwiseandγB(r)={0.3,ifr∈2Z0.5,otherwise |
It can be checked that A and B are intuitionistic fuzzy normed ideals of NR.
As μA∪B(r)=max{μA(r),μB(r)} and γA∪B(r)=min{γA(r),γB(r)}. Then,
μA∪B(r)={0.85,ifr∈3Z0.75,ifr∈2Z−3Z0.35,ifr∉2Zorr∉3ZandγA∪B(r)={0.2,ifr∈3Z0.3,ifr∈2Z−3Z0.4,ifr∉2Zorr∉3Z |
Let r=15 and v=4, then μA∪B(15)=0.85, μA∪B(4)=0.75 and γA∪B(15)=0.2, γA∪B(4)=0.3.
Hence, μA∪B(15−4)=μA∪B(11)=0.35≯μA∪B(15)∗μA∪B(4)=min{0.85,0.75} and γA∪B(15−4)=γA∪B(11)=0.4≮γA∪B(15)⋄γA∪B(4)=max{0.2,0.3}. Thus, the union of two intuitionistic fuzzy normed ideals of NR need not be an intuitionistic fuzzy normed ideal.
Proposition 3.5. Let A=(μA,γA) be an intuitionistic fuzzy normed ideal of a ring NR, then we have for all r∈NR:
i. μA(0)≥μA(r) and γA(0)≤γA(r),
ii. μA(−r)=μA(r) and γA(−r)=γA(r),
iii. If μA(r−v)=μA(0) then μA(r)=μA(v),
iv. If γA(r−v)=γA(0) then γA(r)=γA(v).
Proof. i. As A is an intuitionistic fuzzy normed ideal, then
μA(0)=μA(r−r)≥μA(r)∗μA(r)=μA(r) |
and
γA(0)=γA(r−r)≤γA(r)⋄γA(r)=γA(r) |
ii. μA(−r)=μA(0−r)≥μA(0)∗μA(r)=μA(r) and μA(r)=μA(0−(−r))≥μA(0)∗μA(−r)=μA(−r).
Therefore, μA(−r)=μA(r)
also,
γA(−r)=γA(0−r)≤γA(0)⋄γA(r)=γA(r) and γA(r)=γA(0−(−r))≤γA(0)⋄γA(−r)=γA(−r).
Therefore, γA(−r)=γA(r).
iii. Since μA(r−v)=μA(0), then
μA(v)=μA(r−(r−v))≥μA(r)∗μA(r−v)=μA(r)∗μA(0)≥μA(r) |
similarly
μA(r)=μA((r−v)−(−v))≥μA(r−v)∗μA(−v)=μA(0)∗μA(v)≥μA(v) |
Consequently, μA(r)=μA(v).
iv. same as in iii.
Proposition 3.6. Let A be an intuitionistic fuzzy normed ideal of a normed ring NR, then △A=(μA,μcA) is an intuitionistic fuzzy normed ideal of NR.
Proof. Let r,v∈NR
μcA(r−v)=1−μA(r−v)≤1−min{μA(r),μA(v)}=max{1−μA(r),1−μA(v)}=max{μcA(r),μcA(v)} |
Then μcA(r−v)≤μcA(r)⋄μcA(v).
μcA(rv)=1−μA(rv)≤1−max{μA(r),μA(v)}=min{1−μA(r),1−μA(v)}=min{μcA(r),μcA(v)} |
Then μcA(rv)≤μcA(r)∗μcA(v).
Accordingly, △A=(μA,μcA) is an intuitionistic fuzzy normed ideal of NR.
Proposition 3.7. If A is an intuitionistic fuzzy normed ideal of a normed ring NR, then ◊A=(γcA,γA) is an intuitionistic fuzzy normed ideal of NR.
Proof. Let r,v∈NR
γcA(r−v)=1−γA(r−v)≥1−max{γA(r),γA(v)}=min{1−γA(r),1−γA(v)}=min{γcA(r),γcA(v)} |
Then γcA(r−v)≥γcA(r)∗γcA(v).
γAc(rv)=1−γA(rv)≥1−min{γA(r),γA(v)}=max{1−μA(r),1−γA(v)}=max{γcA(r),γcA(v)} |
Then γcA(rv)≥γcA(r)⋄γcA(v).
Therefore, ◊A=(γcA,γA) is an intuitionistic fuzzy normed ideal of NR.
Proposition 3.8. An IFSA=(μA,γA) is an intuitionistic fuzzy normed ideal of NR if the fuzzy subsets μA and γcA are intuitionistic fuzzy normed ideals of NR.
Proof. Let r,v∈NR
1−γA(r−v)=γcA(r−v)≥min{γcA(r),γcA(v)}=min{(1−γA(r)),(1−γA(v))}=1−max{γA(r),γA(v)} |
Then, γA(r−v)≤γA(r)⋄γA(v).
1−γA(rv)=γcA(rv)≥max{γcA(r),γcA(v)}=max{(1−γA(r)),(1−γA(v))}=1−min{γA(r),γA(v)} |
Then, γA(rv)≤γA(r)∗γA(v).
Consequently, A=(μA,γA) is an intuitionistic fuzzy normed ideal of NR.
Definition 3.9. Let A be a set (non-empty) of the normed ring NR, the intuitionistic characteristic function of A is defined as λA=(μλA,γλA), where
μλA(r)={1,ifr∈A0,ifr∉AandγλA(r)={0,ifr∈A1,ifr∉A |
Lemma 3.10. Let A and B be intuitionistic fuzzy sets of a normed ring NR, then:
(i) λA∩λB=λA∩B (ii) λA∘λB=λA∘B (iii) If A⊆B, then λA⊆λB
Theorem 3.11. For a non-empty subset A of NR, A is a subring of NR if and only if λA=(μλA,γλA) is an intuitionistic fuzzy normed subring of NR.
Proof. Suppose A to be a subring of NR and let r,v∈NR. If r,v∈A, then by the intuitionistic characteristic function properties μλA(r)=1=μλA(v) and γλA(r)=0=γλA(v). As A is a subring, then r−v and rv∈A. Thus, μλA(r−v)=1=1∗1=μλA(r)∗μλA(v) and μλA(rv)=1=1∗1=μλA(r)∗μλA(v), also γλA(r−v)=0=0⋄0=γλA(r)⋄γλA(v) and γλA(rv)=0=0⋄0=γλA(r)⋄γλA(v). This implies,
μλA(r−v)≥μλA(r)∗μλA(v)andμλA(rv)≥μλA(r)∗μλA(v),γλA(r−v)≤γλA(r)⋄γλA(v)andγλA(rv)≤γλA(r)⋄γλA(v). |
Similarly we can prove the above expressions if r,v∉A.
Hence, λA=(μλA,γλA) is an intuitionistic fuzzy normed subring of NR.
Conversely, we hypothesise that the intuitionistic characteristic function λA=(μλA,γλA) is an intuitionistic fuzzy normed subring of NR. Let r,v∈A, then μλA(r)=1=μλA(v) and γλA(r)=0=γλA(v). So,
μλA(r−v)≥μλA(r)∗μλA(v)≥1∗1≥1,alsoμλA(r−v)≤1,μλA(rv)≥μλA(r)∗μλA(v)≥1∗1≥1,alsoμλA(rv)≤1,γλA(r−v)≤γλA(r)⋄γλA(v)≤0⋄0≤0,alsoγλA(r−v)≥0,γλA(rv)≤γλA(r)⋄γλA(v)≤0⋄0≤0,alsoγλA(rv)≥0, |
then μλA(r−v)=1, μλA(rv)=1 and γλA(r−v)=0, γλA(rv)=0, which implies that r−v and rv∈A. Therefore, A is a subring of NR.
Theorem 3.12. Let I be a non-empty subset of a normed ring NR, then I is an ideal of NR if and only if λI=(μλI,γλI) is an intuitionistic fuzzy normed ideal of NR.
Proof. Let I be an ideal of NR and let r,v∈NR.
Case I. If r,v∈I then rv∈I and μλI(r)=1, μλI(v)=1 and γλI(r)=0, γλI(v)=0. Thus, μλI(rv)=1 and γλI(rv)=0. Accordingly, μλI(rv)=1=μλI(r)⋄μλI(v) and γλI(rv)=0=γλI(r)∗γλI(v).
Case II. If r∉I or v∉I so rv∉I, then μλI(r)=0 or μλI(v)=0 and γλI(r)=1 or γλI(v)=1. So, μλI(rv)=1≥μλI(r)⋄μλI(v) and γλI(rv)=0≤γλI(r)∗γλI(v). Hence, λI=(μλI,γλI) is an intuitionistic fuzzy normed ideal of NR.
On the hand, we suppose λI=(μλI,γλI) is an intuitionistic fuzzy normed ideal of NR. The proof is similar to the second part of the proof of Theorem 3.11.
Proposition 3.13. If A is an intuitionistic fuzzy normed ideal of NR, then A∗ is an ideal of NR where A∗ is defined as,
A∗={r∈NR:μA(r)=μA(0)andγA(r)=γA(0)} |
Proof. See [10] (p. 6)
Lemma 3.14. Let A and B be two intuitionistic fuzzy normed left (right) ideal of NR. Therefore, A∗∩B∗⊆(A∩B)∗.
Proof. Let r∈A∗∩B∗, then μA(r)=μA(0), μB(r)=μB(0) and γA(r)=γA(0), γB(r)=γB(0).
μA∩B(r)=min{μA(r),μB(r)}=min{μA(0),μB(0)}=μA∩B(0) |
and
γA∩B(r)=max{γA(r),γB(r)}=max{γA(0),γB(0)}=γA∩B(0) |
So, r∈(A∩B)∗. Thus, A∗∩B∗⊆(A∩B)∗.
Theorem 3.15. Let f:NR→NR′ be an epimorphism mapping of normed rings. If A is an intuitionistic fuzzy normed ideal of the normed ring NR, then f(A) is also an intuitionistic fuzzy normed ideal of NR′.
Proof. Suppose A={(r,μA(r),γA(r)):r∈NR},
f(A)={(v,⋄f(r)=vμA(r),∗f(r)=vγA(r):r∈NR,v∈NR′}.
Let v1,v2∈NR′, then there exists r1,r2∈NR such that f(r1)=v1 and f(r2)=v2.
i.
μf(A)(v1−v2)=⋄f(r1−r2)=v1−v2μA(r1−r2)≥⋄f(r1)=v1,f(r2)=v2(μA(r1)∗μA(r2))≥(⋄f(r1)=v1μA(r1))∗(⋄f(r2)=v2μA(r2))≥μf(A)(v1)∗μf(A)(v2) |
ii.
μf(A)(v1v2)=⋄f(r1r2)=v1v2μA(r1r2)≥⋄f(r2)=v2μA(r2)≥μf(A)(v2) |
iii.
γf(A)(v1−v2)=∗f(r1−r2)=v1−v2γA(r1−r2)≤∗f(r1)=v1,f(r2)=v2(γA(r1)⋄γA(r2))≤(∗f(r1)=v1γA(r1))⋄(∗f(r2)=v2γA(r2))≤γf(A)(v1)⋄γf(A)(v2) |
iv.
γf(A)(v1v2)=∗f(r1r2)=v1v2γA(r1r2)≤∗f(r2)=v2γA(r2)≤γf(A)(v2) |
Hence, f(A) is an intuitionistic fuzzy normed left ideal. Similarly, it can be justified that f(A) is an intuitionistic fuzzy normed right ideal. Then, f(A) is a intuitionistic fuzzy normed ideal of NR′.
Proposition 3.16. Define f:NR→NR′ to be an epimorphism mapping. If B is an intuitionistic fuzzy normed ideal of the normed ring NR′, then f−1(B) is also an intuitionistic fuzzy normed ideal of NR.
Proof. Suppose B={(v,μB(v),γB(v)):v∈NR′}, f−1(B)={(r,μf−1(B)(r),γf−1(B)(r):r∈NR}, where μf−1(B)(r)=μB(f(r)) and γf−1(B)(r)=γB(f(r)) for every r∈NR. Let r1,r2∈NR, then
i.
μf−1(B)(r1−r2)=μB(f(r1−r2))=μB(f(r1)−f(r2))≥μB(f(r1))∗μB(f(r2))≥μf−1(B)(r1)∗μf−1(B)(r2) |
ii.
μf−1(B)(r1r2)=μB(f(r1r2))=μB(f(r1)f(r2))≥μB(f(r2))≥μf−1(B)(r2) |
iii.
γf−1(B)(r1−r2)=γB(f(r1−r2))=γB(f(r1)−f(r2))≤γB(f(r1))⋄γB(f(r2))≤γf−1(B)(r1)⋄γf−1(B)(r2) |
iv.
γf−1(B)(r1r2)=γB(f(r1r2))=γB(f(r1)f(r2))≤γB(f(r2))≤γf−1(B)(r2) |
Therefore, f−1(B) is an intuitionistic fuzzy normed left ideal of NR. Similarly, it can be justified that f−1(B) is an intuitionistic fuzzy normed right ideal. So, f−1(B) is a intuitionistic fuzzy normed ideal of NR.
In what follows, we produce the terms of intuitionistic fuzzy normed prime ideals and intuitionistic fuzzy normed maximal ideals and we investigate some associated properties.
Definition 4.1. An intuitionistic fuzzy normed ideal A=(μA,γA) of a normed ring NR is said to be an intuitionistic fuzzy normed prime ideal of NR if for an intuitionistic fuzzy normed ideals B=(μB,γB) and C=(μC,γC) of NR where B∘C⊆A indicates that either B⊆A or C⊆A, which imply that μB⊆μA and γA⊆γB or μC⊆μA and γA⊆γC.
Proposition 4.2. An intuitionistic fuzzy normed ideal A=(μA,γA) is an intuitionistic fuzzy normed prime ideal if for any two intuitionistic fuzzy normed ideals B=(μB,γB) and C=(μC,γC) of NR satisfies:
i. μA⊇μB⊛C i.e. μA(r)≥⋄r=vz(μA(v)∗μB(z));
ii. γA⊆γB⊗C i.e.γA(r)≤∗r=vz(γA(v)⋄γB(z)).
Theorem 4.3. Let A be an intuitionistic fuzzy normed prime ideal of NR. Then ∣Im μA∣ = ∣Im γA∣=2; in other words A is two-valued.
Proof. As A is not constant, ∣Im μA∣≥2. assume that ∣Im μA∣≥3. Aα,β={r∈R:μA≥α and γA≤β} where α+β≤1. Let r∈NR and let B and C be two intuitionistic fuzzy subsets in NR, such that: μA(0)=s and k=glb{μA(r):r∈NR}, so there exists t,α∈ Im(μA) such that k≤t<α<s with μB(r)=12(t+α), μC(r)={s,ifr∈Aα,βk,ifr∉Aα,β and γA(0)=c and h=lub{γA(r):r∈NR}, then there exists d,β∈ Im(γA) such that c<β<d≤h with γB(r)=12(d+β) and γC(r)={c,ifr∈Aα,βh,ifr∉Aα,β for all r∈NR. Clearly B is an intuitionistic fuzzy normed ideal of NR. Now we claim that C is an intuitionistic fuzzy normed ideal of NR.
Let r,v∈NR, if r,v∈Aα,β then r−v∈Aα,β and μC(r−v)=s=μC(r)∗μC(v), γC(r−v)=c=γC(r)⋄γC(v). If r∈Aα,β and v∉Aα,β then r−v∉Aα,β so, μC(r−v)=k=μC(r)∗μC(v), γC(r−v)=h=γC(r)⋄γC(v). If r,v∉Aα,β then r−v∉Aα,β so, μC(r−v)≥k=μC(r)∗μC(v), γC(r−v)≤h=γC(r)⋄γC(v). Hence, μC(r−v)≥μC(r)∗μC(v) and γC(r−v)≤γC(r)⋄γC(v) for all r,v∈NR.
Now if r∈Aα,β then rv∈Aα,β, thus μC(rv)=s=μC(r)⋄μC(v) and γC(rv)=c=γC(r)∗γC(v). If r∉Aα,β, then μC(rv)≥k=μC(r)⋄μC(v) and γC(rv)≤h=γC(r)∗γC(v). Therefore C is an intuitionistic fuzzy normed ideal of NR.
To prove that B∘C⊆A. Let r∈NR, we discuss the following cases:
(i) If r=0, consequently
μB⊛C(0)=⋄r=uv(μB(u)∗μC(v))≤12(t+α)<s=μA(0); |
γB⊗C(r)=∗r=uv(γB(u)⋄γC(v))≥12(d+β)>c=γA(0). |
(ii) If r≠0, r∈Aα,β. Then μA(r)≥α and γA(r)≤β. Thus,
μB⊛C(r)=⋄r=uv(μB(u)∗μC(v))≤12(t+α)<α≤μA(r); |
γB⊗C(r)=∗r=uv(γB(u)⋄γC(v))≥12(d+β)>β≥γA(r). |
Since μB(u)∗μC(v)≤μB(u) and γB(u)⋄γC(v)≥γB(u).
(iii) If r≠0, r∉Aα,β. Then in that case u,v∈NR such that r=uv, u∉Aα,β and v∉Aα,β. Then,
μB⊛C(r)=⋄r=uv(μB(u)∗μC(v))=k≤μA(r); |
γB⊗C(r)=∗r=uv(γB(u)⋄γC(v))=h≥γA(r). |
Therefore, in any case μB⊛C(r)≤μA(r) and γB⊗C(r)≥γA(r) for all r∈NR. Hence, B∘C⊆A.
Let a,b∈NR such that μA(a)=t, μA(b)=α and γA(a)=d, γA(b)=β. Thus, μB(a)=12(t+α)>t=μA(r) and γB(a)=12(d+β)<d=γA(r) which implies that B⊈A. Also, μA(b)=α and γA(b)=β imply that b∈Aα,β so, μC(b)=s>α and γC(b)=c<β, so C⊈A. Therefore, neither B⊈A nor C⊈A. This indicates that A could not be an intuitionistic fuzzy normed prime ideal of NR, so its a contradiction. Thus, ∣Im μA∣ = ∣ImγA∣=2.
Proposition 4.4. If A is an intuitionistic fuzzy normed prime ideal of NR, so the following are satisfied:
i. μA(0NR)=1 and γA(0NR)=0;
ii. Im(μA)={1,α} and Im(γA)={0,β}, where α,β∈[0,1];
iii. A∗ is a prime ideal of NR.
Theorem 4.5. Let A be a fuzzy subset of NR where A is two-valued, μA(0)=1 and γA(0)=0, and the set A∗={r∈NR:μA(r)=μA(0) and γA(r)=γA(0)} is a prime ideal of NR. Hence, A is an intuitionistic fuzzy normed prime ideal of NR.
Proof. We have Im(μA)={1,α} and Im(γA)={0,β}. Let r,v∈NR. If r,v∈A∗, then r−v∈A∗ so, μA(r−v)=1=μA(r)∗μA(v) and γA(r−v)=0=γA(r)⋄γA(v). If r,v∉A∗, then μA(r−v)=α≥μA(r)∗μA(v) and γA(r−v)=β≤γA(r)⋄γA(v).
Therefore, for all r,v∈NR,
μA(r−v)≥μA(r)∗μA(v)γA(r−v)≤γA(r)⋄γA(v) |
Similarly,
μA(rv)≥μA(r)⋄μA(v)γA(rv)≤γA(r)∗γA(v) |
Thus A is an intuitionistic fuzzy ideal of NR.
Assume B and C be fuzzy ideals of NR where B∘C⊆A. Assume that B⊈A and C⊈A. Then, we have r,v∈NR in such a way that μB(r)>μA(r) and γB(r)<γA(r), μC(v)>μA(v) and γC(r)<γA(r), so for all a∈A∗, μA(a)=1=μA(0) and γA(a)=0=γA(0), r∉A∗ and v∉A∗. Since, A∗ is a prime ideal of NR, we have n∈NR in such a way that rnv∉A∗. Let a=rnv then μA(a)=μA(r)=μA(v)=α and γA(a)=γA(r)=γA(v)=β, now
μB⊛C(a)=⋄a=st(μB(s)∗μC(t))≥μB(r)∗μC(nv)≥μB(r)∗μC(v)>α=μA(a)[Since,μB(r)≥μA(r)=αandμC(nv)≥μC(v)≥μA(v)=α]. |
and
γB⊗C(a)=∗a=st(γB(s)⋄γC(t))≤γB(r)⋄γC(nv)≤γB(r)⋄γC(v)<β=γA(a)[Since,γB(r)≤γA(r)=βandγC(nv)≤γC(v)≤γA(v)=β]. |
Which means that B∘C⊈A. Which contradicts with the hypothesis that B∘C⊆A. Therefore, either B⊆A or C⊆A. Then A is an intuitionistic fuzzy normed prime ideal.
Theorem 4.6. Let P be a subset (non-empty) of NR. P is a prime ideal if and only if the intuitionistic characteristic function λP=(μλP,γλP) is an intuitionistic fuzzy normed prime ideal.
Proof. presume that P is a prime ideal of NR. So by Theorem 3.12, λP is an intuitionistic fuzzy normed ideal of NR. Let A=(μA,γA) and B=(μB,γB) be any intuitionistic fuzzy normed ideals of NR with A∘B⊆λP while A⊈λP and B⊈λP. Then there exist r,v∈NR such that
μA(r)≠0,γA(r)≠1andμB(v)≠0,γB(v)≠1 |
but
μλP(r)=0,γλP(r)=1andμλP(v)=0,γλP(v)=1 |
Therefore, r∉P and v∉P. Since P is a prime ideal, there exist n∈NR such that rnv∉P.
Let a=rnv, then μλP(a)=0 and γλP(a)=1. Thus, μA⊛b(a)=0 and γA⊗B(a)=1. but
μA⊛B(a)=⋄a=st(μA(s)∗μB(t))≥μA(r)∗μB(nv)≥μA(r)∗μB(v)≥min{μA(r),μB(v)}≠0[Since,μA(r)≠0andμB(v)≠0]. |
and
γA⊗B(a)=∗a=st(γA(s)⋄γB(t))≤γA(r)⋄γB(nv)≤γA(r)⋄γB(v)≤max{γA(r),γB(v)}≠1[Since,γA(r)≠1andγB(v)≠1]. |
This is a contradiction with μλP(a)=0 and γλP(a)=1. Thus for any intuitionistic fuzzy normed ideals A and B of NR we have A∘B⊆λP imply that A⊆λP or B⊆λP. So, λP=(μλP,γλP) is an intuitionistic fuzzy normed prime ideal of NR.
Conversely, suppose λP is an intuitionistic fuzzy normed prime ideal. Let A and B be two intuitionistic fuzzy normed prime ideal of NR such that A∘B⊆P. Let r∈NR, suppose μλA⊛λB(r)≠0 and γλA⊗λB(r)≠1, then μλA⊛λB(r)=⋄r=cd(μλA(c)∗μλB(d))≠0 and γλA⊗λB(r)=∗r=cd(γλA(c)⋄γλB(d))≠1. Then we have c,d∈NR such that r=cd, μλA(c)≠0, μλB(d)≠0 and γλA(c)≠1, γλB(d)≠1. Then, μλA(c)=1, μλB(d)=1 and γλA(c)=0, γλB(d)=0. Which implies c∈A and d∈B, therefore r=cd∈A∘B⊆P. Then, μλP(r)=1 and γλP(r)=0. Thus, for all r∈NR, μλA⊛λB(r)≤μλP(r) and γλA⊗λB(r)≥γλP(r). So, λA∘λB⊆λP. Since λP is an intuitionistic fuzzy normed prime ideal. Then either λA⊆λP or λB⊆λP. Therefore, either A⊆P or B⊆P. Hence P is a prime ideal in NR.
Definition 4.7. [15] Given a ring R and a proper ideal M of R, M is a maximal ideal of R if any of the following equivalent conditions hold:
i. There exists no other proper ideal J of R so that M⊊J.
ii. For any ideal J with M⊆J, either J=M or J=R.
Definition 4.8. An intuitionistic fuzzy normed ideal A of a normed ring NR is said to be an intuitionistic fuzzy normed maximal ideal if for any intuitionistic fuzzy normed ideal B of NR, A⊆B, implies that either B∗=A∗ or B=λNR. Intuitionistic fuzzy normed maximal left (right) ideal are correspondingly specified.
Proposition 4.9. Let A be an intuitionistic fuzzy normed maximal left (right) ideal of NR. Then, ∣ImμA∣ = ∣ImγA∣=2
Theorem 4.10. Let A be an intuitionistic fuzzy normed maximal left (right) ideal of a normed ring NR. Then A∗={r∈NR:μA(r)=μA(0) and γA(r)=γA(0)} is a maximal left (right) ideal of NR.
Proof. As A is not constant, A∗≠NR. Then using Proposition 4.9, A is two-valued. Let Im(μA)={1,α} and Im(γA)={0,β}, where 0≤α<1 and 0<β≤1. Assume M to be a left ideal of NR in away that A∗⊆M. Take B be an intuitionistic fuzzy subset of NR where if r∈M then μB(r)=1 and γB(r)=0 and if r∉M then μB(r)=c and γB(r)=d, where α<c<1 and 0<d<β. Then B is an intuitionistic fuzzy normed left ideal. Obviously A⊆B. As A is an intuitionistic fuzzy normed maximal left ideal of NR then A∗=B∗ or B=λNR. If A∗=B∗ then A∗=M given that B∗=M. If B=λNR subsequently M=NR. Therefore, A∗ is a maximal left ideal of NR.
Theorem 4.11. If A is an intuitionistic fuzzy normed maximal left (right) ideal of NR, then μA(0)=1 and γA(0)=0.
Proof. Suppose μA(0)≠1 and γA(0)≠0 and B to be an intuitionistic fuzzy subset of NR defined as B={r∈NR:μB(r)=h and γB(r)=k}, where μA(0)<h<1 and 0<k<γA(0). Then, B is an intuitionistic fuzzy normed ideal of NR. We can simply check that A⊂B, B≠λNR and B∗={r∈NR:μB(r)=μB(0) and γB(r)=γB(0)}=NR. Hence, A⊂B but A∗≠B∗ and B≠λNR which contradicts with the assumption that A is an intuitionistic fuzzy normed maximal ideal of NR. Therefore, μA(0)=1 and γA(0)=0.
Theorem 4.12. Let A be a intuitionistic fuzzy normed left (right) ideal of NR. If A∗ is a maximal left (right) ideal of NR with μA(0)=1 and γA(0)=0, then A is an intuitionistic fuzzy normed maximal left (right) ideal of NR.
Proof. By Proposition 4.9 A is two-valued. Let Im(μA)={1,α} and Im(γA)={0,β}, where 0≤α<1 and 0<β≤1. Define B to be an intuitionistic fuzzy normed left ideal of NR where A⊆B. Hence, μB(0)=1 and γB(0)=0. Let r∈A∗. Then 1=μA(0)=μA(r)≤μB(r) and 0=γA(0)=γA(r)≥γB(r). Thus μB(r)=1=μB(0) and γB(r)=0=γB(0), hence r∈B∗ then A∗⊆B∗. Given that A∗ a maximal left ideal of NR, then A∗=B∗ or B∗=NR. If B∗=NR subsequently B=λNR. Therefore, A is an intuitionistic fuzzy normed maximal left ideal of NR.
Remark 4.13. Let A⊆NR and let 0≤α≤1 and 0≤β≤1. Let λAα,β be an intuitionistic fuzzy subset of NR where μλAα(r)=1 if r∈A, μλAα(r)=α if r∉A and γλAβ(r)=0 if r∈A, γλAβ(r)=β if r∉A. If α=0 and β=1, the λAα,β is the intuitionistic characteristic function of A, which identified by λA=(μλA,γλA). If NR is a ring and A is an intuitionistic fuzzy normed left (right) ideal of NR, then:
- μλAα(0)=1, γλAβ(0)=0;
- (λAα,β)∗=A, [(λAα,β)∗={r∈NR:μλAα(r)=μλAα(0), γλAβ(r)=γλAβ(0)}=A];
- Im(μA)={1,α} and Im(γA)={0,β};
- λAα,β is an intuitionistic fuzzy normed left (right) ideal of NR.
In this article, we defined the intrinsic product of two intuitionistic fuzzy normed ideals and proved that this product is a subset of their intersection. Also, we characterized some properties of intuitionistic fuzzy normed ideals. We initiated the concepts of intuitionistic fuzzy normed prime ideal and intuitionistic fuzzy normed maximal ideal and we established several results related to these ideals. Further, we specified the conditions under which a given intuitionistic fuzzy normed ideal is considered to be an intuitionistic fuzzy normed prime (maximal) ideal. We generalised the relation between the intuitionistic characteristic function and prime (maximal) ideals.
The author declares no conflict of interest in this paper
[1] | Ahmed N, Sheikh AA, Hamid Z, et al. (2022) Exploring the causal relationship among green taxes, energy intensity, and energy consumption in nordic countries: Dumitrescu and Hurlin causality approach. Energies 15: 5199. https://doi.org/10.3390/en15145199 |
[2] | Bashir MF, Benjiang MA, Shahbaz M, et al. (2021) Unveiling the heterogeneous impacts of environmental taxes on energy consumption and energy intensity: empirical evidence from OECD countries. 226: 120366. https://doi.org/10.1016/j.energy.2021.120366 |
[3] |
Becken S (2004) How tourists and tourism experts perceive climate change and carbon-offsetting schemes. J Sustain Tour 12: 332–345. https://doi.org/10.1080/09669580408667241 doi: 10.1080/09669580408667241
![]() |
[4] |
Behera P, Sethi N (2022) Nexus between environment regulation, FDI, and green technology innovation in OECD countries. Environ Sci Pollut R 29: 52940–52953. https://doi.org/10.1007/s11356-022-19458-7 doi: 10.1007/s11356-022-19458-7
![]() |
[5] |
Bentler PM, Bonett DG (1980) Significance tests and goodness of fit in the analysis of covariance structures. Psychol Bull 88: 588–606. https://doi.org/10.1037/0033-2909.88.3.588 doi: 10.1037/0033-2909.88.3.588
![]() |
[6] |
Berezan O, Raab C, Yoo M, et al. (2013) Sustainable hotel practices and nationality: The impact on guest satisfaction and guest intention to return. Int J Hosp Manag 34: 227–233. https://doi.org/10.1016/j.ijhm.2013.03.010 doi: 10.1016/j.ijhm.2013.03.010
![]() |
[7] |
Bhandari AK, Heshmati A (2010) Willingness to pay for biodiversity conservation. J Travel Tour Mark 27: 612–623. https://doi.org/10.1080/10548408.2010.507156 doi: 10.1080/10548408.2010.507156
![]() |
[8] | Browne MW (1993) Alternative ways of assessing model fit. Testing structural equation models. |
[9] |
Cárdenas-García PJ, Sánchez-Rivero M, Pulido-Fernández JI (2015) Does Tourism Growth Influence Economic Development? J Travel Res 54: 206–221. https://doi.org/10.1177/0047287513514297 doi: 10.1177/0047287513514297
![]() |
[10] |
Cetin G, Alrawadieh Z, Dincer MZ, et al. (2017) Willingness to pay for tourist tax in destinations: Empirical evidence from Istanbul. Economies 5: 21. https://doi.org/10.3390/economies5020021 doi: 10.3390/economies5020021
![]() |
[11] | Chen G, Cheng M, Edwards D, et al. (2022) COVID-19 pandemic exposes the vulnerability of the sharing economy: a novel accounting framework. In Platform-Mediated Tourism, 213–230. Routledge. https://doi.org/10.4324/9781003230618-12 |
[12] |
Chen JJ, Qiu RT, Jiao X, et al. (2023) Tax deduction or financial subsidy during crisis? Effectiveness of fiscal policies as pandemic mitigation and recovery measures. Annal Tourism Res Empir Insights 4: 100106. https://doi.org/10.1016/j.annale.2023.100106 doi: 10.1016/j.annale.2023.100106
![]() |
[13] |
Chen JM, Zhang J, Nijkamp P (2016) A regional analysis of willingness-to-pay in Asian cruise markets. Tourism Econ 22: 809–824. https://doi.org/10.1177/1354816616654254 doi: 10.1177/1354816616654254
![]() |
[14] |
Christensen N, Rothberger H, Wood W, et al. (2004) Social norms and identity relevance: a motivational approach to normative behaviour. Pers Soc Psychol B Pers Soc Psychol B 30: 1295–1309. https://doi.org/10.1177/0146167204264480 doi: 10.1177/0146167204264480
![]() |
[15] |
Chwialkowska A, Bhatti WA, Glowik M (2020) The influence of cultural values on pro-environmental behavior. J Clean Prod 268: 122305. https://doi.org/10.1016/j.jclepro.2020.122305 doi: 10.1016/j.jclepro.2020.122305
![]() |
[16] | Cohen J (1998) Statistical power analysis for the behavioural sciences, xxi. Hillsdale, NJ: L Erlbaum Associates. |
[17] |
Do Valle PO, Pintassilgo P, Matias A (2012) Tourist attitudes towards an accommodation tax earmarked for environmental protection: A survey in the Algarve. Tourism Manage 33: 1408–1416. https://doi.org/10.1016/j.tourman.2012.01.003 doi: 10.1016/j.tourman.2012.01.003
![]() |
[18] |
Dolnicar S (2010) Identifying tourists with smaller environmental footprints. J Sustain Tour 18: 717–734. https://doi.org/10.1080/09669581003668516 doi: 10.1080/09669581003668516
![]() |
[19] |
Durán-Román JL, Cárdenas-García PJ, Pulido-Fernández JI (2020) Tourist tax to improve sustainability and the experience in mass tourism destinations: The case of andalusia (spain). Sustainability (Switzerland) 13: 1–20. https://doi.org/10.3390/su13010042 doi: 10.3390/su13010042
![]() |
[20] |
Durán-Román JL, Cárdenas-García PJ, Pulido-Fernández JI (2021) Tourists' willingness to pay to improve sustainability and experience at destination. J Destin Mark Manage 19: 100540. https://doi.org/10.1016/j.jdmm.2020.100540 doi: 10.1016/j.jdmm.2020.100540
![]() |
[21] | Durán-Román JL, Pulido-Fernández JI, Rey-Carmona FJ, et al. (2022) Willingness to Pay by Tourist Companies for Improving Sustainability and Competitiveness in a Mature Destination. Leisure Sci, 1–22. https://doi.org/10.1080/01490400.2022.2123072 |
[22] |
Fairbrother M (2019) When will people pay to pollute? Environmental taxes, political trust and experimental evidence from Britain. Brit J Polit Sci 49: 661–682. https://doi.org/10.1017/S0007123416000727 doi: 10.1017/S0007123416000727
![]() |
[23] | Farhar BC, Houston AH (1996) Willingness to pay for electricity from renewable energy (No. NREL/TP-460-21216) National Renewable Energy Lab.(NREL), Golden, CO (United States). https://doi.org/10.2172/399985 |
[24] |
Fekadu Z, Kraft P (2001) Self-identity in planned behavior perspective: Past behavior and its moderating effects on self-identity-intention relations. Soc Behav Personal 29: 671–685. https://doi.org/10.2224/sbp.2001.29.7.671 doi: 10.2224/sbp.2001.29.7.671
![]() |
[25] |
Filimonau V, Matute J, Mika M, et al. (2022) Predictors of patronage intentions towards 'green'hotels in an emerging tourism market. Int J Hosp Manag 103: 103221. https://doi.org/10.1016/j.ijhm.2022.103221 doi: 10.1016/j.ijhm.2022.103221
![]() |
[26] |
Foss AW, Ko Y (2019) Barriers and opportunities for climate change education: The case of Dallas-Fort Worth in Texas. J Environ Edu 50: 145–159. https://doi.org/10.1080/00958964.2019.1604479 doi: 10.1080/00958964.2019.1604479
![]() |
[27] | Gago A, Labandeira X, Picos F, et al. (2009) Specific and general taxation of tourism activities. Evidence from Spain. Tourism Manage 30: 381–392. https://doi.org/10.1016/j.tourman.2008.08.004 |
[28] |
Glover P (2011) International students: Linking education and travel. J Travel Tour Mark 28: 180–195. https://doi.org/10.1080/10548408.2011.546210 doi: 10.1080/10548408.2011.546210
![]() |
[29] |
Göktaş L, Çetin G (2023) Tourist tax for sustainability: Determining willingness to pay. Eur J Tourism Res 35: 3503–3503. https://doi.org/10.54055/ejtr.v35i.2813 doi: 10.54055/ejtr.v35i.2813
![]() |
[30] | González-Rodríguez MR, Diaz-Fernandez MC, Font X (2019) Factors influencing willingness of customers of environmentally friendly hotels to pay a price premium. International. Int J Contemp Hosp M 32: 60–80. https://doi.org/10.1108/IJCHM-02-2019-0147 |
[31] |
Gupta M (2016) Willingness to pay for carbon tax: A study of Indian road passenger transport. Transport Policy 45: 46–54. https://doi.org/10.1016/j.tranpol.2015.09.001 doi: 10.1016/j.tranpol.2015.09.001
![]() |
[32] |
Hair Jr JF, Matthews LM, Matthews RL, et al. (2017) PLS-SEM or CB-SEM: updated guidelines on which method to use. Int J Multivariate Data Anal 1: 107–123. https://doi.org/10.1504/IJMDA.2017.087624 doi: 10.1504/IJMDA.2017.087624
![]() |
[33] |
Han H, Hsu LTJ, Lee J S (2009) Empirical investigation of the roles of attitudes toward green behaviors, overall image, gender, and age in hotel customers' eco-friendly decision-making process. Int J Hosp Manag 28: 519–528. https://doi.org/10.1016/j.ijhm.2009.02.004 doi: 10.1016/j.ijhm.2009.02.004
![]() |
[34] |
Higueras-Castillo E, Liébana-Cabanillas FJ, Muñoz-Leiva F, et al. (2019) The role of collectivism in modeling the adoption of renewable energies: A cross-cultural approach. Int J Environ Sci Te 16: 2143–2160. https://doi.org/10.1007/s13762-019-02235-4 doi: 10.1007/s13762-019-02235-4
![]() |
[35] | Hofstede G (1980) Culture's consequences: International differences in work-related values (Vol. 5) sage. |
[36] |
Hofstede G, Bond MH (1984) Hofstede's culture dimensions: An independent validation using Rokeach's Value Survey. J Cross-Cult Psychol 15: 417–433. https://doi.org/10.1177/0022002184015004003 doi: 10.1177/0022002184015004003
![]() |
[37] | Hofstede G, Hofstede GJ, Minkov M (2010) Cultures and organizations: Software of the mind (Vol. 2) New York: Mcgraw-hill. |
[38] |
Ilić B, Stojanovic D, Djukic G (2019) Green economy: mobilization of international capital for financing projects of renewable energy sources. Green Financ 1: 94–109. https://doi.org/10.3934/GF.2019.2.94 doi: 10.3934/GF.2019.2.94
![]() |
[39] |
Ivanov S, Seyitoğlu F, Webster C (2024) Tourism, automation and responsible consumption and production: a horizon 2050 paper. Tourism Rev. https://doi.org/10.1108/TR-12-2023-0898 doi: 10.1108/TR-12-2023-0898
![]() |
[40] |
Johnson D (2002) Environmentally sustainable cruise tourism: A reality check. Marine Policy 26: 261–270. https://doi.org/10.1016/S0308-597X(02)00008-8 doi: 10.1016/S0308-597X(02)00008-8
![]() |
[41] |
Kato A, Kwak S, Mak J (2011) Using the property tax to appropriate gains from tourism. J Travel Res 50: 144–153. https://doi.org/10.1177/0047287510362783 doi: 10.1177/0047287510362783
![]() |
[42] |
Khan O, Varaksina N, Hinterhuber A (2024) The influence of cultural differences on consumers' willingness to pay more for sustainable fashion. J Clean Prod 442: 141024. https://doi.org/10.1016/j.jclepro.2024.141024 doi: 10.1016/j.jclepro.2024.141024
![]() |
[43] | Kline RB (2023) Principles and practice of structural equation modeling. Guilford publications. |
[44] | Kumar R, Philip PJ, Sharma C (2014) Attitude–value construct: A review of green buying behaviour. Pac Bus Rev Int 6: 25–30. |
[45] |
Li Y, Zhou M, Sun H, et al. (2023) Assessment of environmental tax and green bonds impacts on energy efficiency in the European Union. Econ Chang Restruct 56: 1063–1081. https://doi.org/10.1007/s10644-022-09465-6 doi: 10.1007/s10644-022-09465-6
![]() |
[46] |
Logar I (2010) Sustainable tourism management in Crikvenica, Croatia: An assessment of policy instruments. Tourism Manage 31: 125–135. https://doi.org/10.1016/j.tourman.2009.02.005 doi: 10.1016/j.tourman.2009.02.005
![]() |
[47] |
Malerba D (2022) The effects of social protection and social cohesion on the acceptability of climate change mitigation policies: what do we (not) know in the context of low-and middle-income countries? Eur J Dev Res 34: 1358. https://doi.org/10.1057/s41287-022-00537-x doi: 10.1057/s41287-022-00537-x
![]() |
[48] |
McCarty JA, Shrum LJ (2001) The influence of individualism, collectivism, and locus of control on environmental beliefs and behavior. J Public Policy Market 20: 93–104. https://doi.org/10.1509/jppm.20.1.93.1729 doi: 10.1509/jppm.20.1.93.1729
![]() |
[49] |
Mehmetoglu M (2010) Factors influencing the willingness to behave environmentally friendly at home and holiday settings. Scand J Hosp Tour 10: 430–447. https://doi.org/10.1080/15022250.2010.520861 doi: 10.1080/15022250.2010.520861
![]() |
[50] |
Meo M, Karim M (2022) The role of green finance in reducing CO2 emissions: An empirical analysis. Borsa Istanb Rev 22: 169–178. https://doi.org/10.1016/j.bir.2021.03.002 doi: 10.1016/j.bir.2021.03.002
![]() |
[51] |
Mihalič T (2000) Environmental management of a tourist destination: A factor of tourism competitiveness. Tourism Manage 21: 65–78. https://doi.org/10.1016/S0261-5177(99)00096-5 doi: 10.1016/S0261-5177(99)00096-5
![]() |
[52] |
Milfont TL, Duckitt J (2010) The environmental attitudes inventory: A valid and reliable measure to assess the structure of environmental attitudes. J Environ Psychol 30: 80–94. https://doi.org/10.1016/j.jenvp.2009.09.001 doi: 10.1016/j.jenvp.2009.09.001
![]() |
[53] | Nunnally JC (1994) The assessment of reliability. Psychometric theory. |
[54] |
Oklevik O, Gössling S, Hall CM, et al. (2019) Overtourism, optimisation, and destination performance indicators: a case study of activities in Fjord Norway. J Sustain Tour 27: 1804–1824. https://doi.org/10.1080/09669582.2018.1533020 doi: 10.1080/09669582.2018.1533020
![]() |
[55] |
Oliver JD (2013) Promoting sustainability by marketing green products to non-adopters. Gestion 2000 30: 77–86. https://doi.org/10.3917/g2000.303.0077 doi: 10.3917/g2000.303.0077
![]() |
[56] |
Owen AL, Videras J (2006) Civic cooperation, pro-environment attitudes, and behavioral intentions. Ecol Econ 58: 814–829. https://doi.org/10.1016/j.ecolecon.2005.09.007 doi: 10.1016/j.ecolecon.2005.09.007
![]() |
[57] | Perman R, Ma Y, McGilvray J, et al. (1999) Natural resource and environmental economics. Pearson Education. |
[58] | Raisová M (2012) The implementation of green taxes into the economics. Proc. of the 12th International Multidisciplinary Scientific Geoconference, IV, 1153–1160. |
[59] |
Reynisdottir M, Song H, Agrusa J (2008) Willingness to pay entrance fees to natural attractions: An Icelandic case study. Tourism Manage 29: 1076–1083. https://doi.org/10.1016/j.tourman.2008.02.016 doi: 10.1016/j.tourman.2008.02.016
![]() |
[60] |
Ripinga BB, Mazenda A, Bello FG (2024) Tourism levy collection for 'Marketing South Africa'. Cogent Social Sci 10: 2364765. https://doi.org/10.1080/23311886.2024.2364765 doi: 10.1080/23311886.2024.2364765
![]() |
[61] |
Rotaris L, Carrozzo M (2019) Tourism taxes in Italy: A sustainable perspective. J Global Bus Insights 4: 92–105. https://doi.org/10.5038/2640-6489.4.2.1079 doi: 10.5038/2640-6489.4.2.1079
![]() |
[62] | Rotaris L (2022) Tourist taxes in Italy: The choices of the policy makers and the preferences of tourists. Scienze Regionali 21: 199–228. |
[63] | Ru X, Qin H, Wang S (2019) Young people's behaviour intentions towards reducing PM2. 5 in China: Extending the theory of planned behaviour. Resour Conserv Recy 141: 99–108. https://doi.org/10.1016/j.resconrec.2018.10.019 |
[64] |
Rustam A, Wang Y, Zameer H (2020) Environmental awareness, firm sustainability exposure and green consumption behaviors. J Clean Prod 268, 122016. https://doi.org/10.1016/j.jclepro.2020.122016 doi: 10.1016/j.jclepro.2020.122016
![]() |
[65] |
Ryan C, Zhang Z (2007) Chinese students: holiday behaviours in New Zealand. J Vacat Market 13: 91–105. https://doi.org/10.1177/1356766707074734 doi: 10.1177/1356766707074734
![]() |
[66] | Sabiote-Ortiz CM (2010) Valor percibido global del proceso de decisión de compra online de un producto turístico. Efecto moderador de la cultura (Doctoral dissertation, Universidad de Granada). |
[67] |
Schuhmann PW, Skeete R, Waite R, et al. (2019) Visitors' willingness to pay marine conservation fees in Barbados. Tourism Manage 71: 315–326. https://doi.org/10.1016/j.tourman.2018.10.011 doi: 10.1016/j.tourman.2018.10.011
![]() |
[68] | Sharma MN, Singh S (2022) Role of Collectivism and Consumer Trust in Making Consumer Attitude Towards Green Products. J Positive School Psychol 6: 3580–3588. |
[69] | Shehawy YM, Agag G, Alamoudi HO, et al. (2024) Cross-national differences in consumers' willingness to pay (WTP) more for green hotels. J Retail Consum Serv 77: 103665. |
[70] |
Sineviciene L, Sotnyk I, Kubatko O (2017) Determinants of energy efficiency and energy consumption of Eastern Europe post-communist economies. Energ Environ 28: 870–884. https://doi.org/10.1177/0958305X17734386 doi: 10.1177/0958305X17734386
![]() |
[71] |
Sullivan JH, Warkentin M, Wallace L (2021) So many ways for assessing outliers: What really works and does it matter? J Bus Res 132: 530–543. https://doi.org/10.1016/j.jbusres.2021.03.066 doi: 10.1016/j.jbusres.2021.03.066
![]() |
[72] |
Sundt S, Rehdanz K (2015) Consumers' willingness to pay for green electricity: A meta-analysis of the literature. Energ Econ 51: 1–8. https://doi.org/10.1016/j.eneco.2015.06.005 doi: 10.1016/j.eneco.2015.06.005
![]() |
[73] |
Taghizadeh-Hesary F, Yoshino N (2019) The way to induce private participation in green finance and investment. Financ Res Lett 31: 98–103. https://doi.org/10.1016/j.frl.2019.04.016 doi: 10.1016/j.frl.2019.04.016
![]() |
[74] |
Taylor R, Shanka T, Pope J (2004) Investigating the significance of VFR visits to international students. J Market High Educ 14: 61–77. https://doi.org/10.1300/J050v14n01_04 doi: 10.1300/J050v14n01_04
![]() |
[75] |
Tran MN, Moore K, Shone MC (2018) Interactive mobilities: Conceptualising VFR tourism of international students. J Hosp Tourism Manage 35: 85–91. https://doi.org/10.1016/j.jhtm.2018.04.002 doi: 10.1016/j.jhtm.2018.04.002
![]() |
[76] |
Tsai WT (2024) Green finance for mitigating greenhouse gases and promoting renewable energy development: Case study in Taiwan. Green Financ 6: 249–264. https://doi.org/10.3934/GF.2024010 doi: 10.3934/GF.2024010
![]() |
[77] | United Nations (2022) Department of Economic and Social Affairs. Sustainable Development. Available from: https://sdgs.un.org/goals/goal12. |
[78] |
Wang Y, Liu J, Yang X, et al. (2023) The mechanism of green finance's impact on enterprises' sustainable green innovation. Green Financ 5: 452–478. https://doi.org/10.3934/GF.2023018 doi: 10.3934/GF.2023018
![]() |
[79] |
Whitmarsh L, O'Neill S (2010) Green identity, green living? The role of pro-environmental self-identity in determining consistency across diverse pro-environmental behaviours. J Environ Psychol 30: 305–314. https://doi.org/10.1016/j.jenvp.2010.01.003 doi: 10.1016/j.jenvp.2010.01.003
![]() |
[80] |
Xiong W, Huang M, Leung XY, et al. (2023) How environmental emotions link to responsible consumption behavior: tourism agenda 2030. Tourism Rev 78: 517–530. https://doi.org/10.1108/TR-01-2022-0010 doi: 10.1108/TR-01-2022-0010
![]() |
[81] |
Yang M, Chen H, Long R, et al. (2022) The impact of different regulation policies on promoting green consumption behavior based on social network modeling. Sustain Prod Consump 32: 468–478. https://doi.org/10.1016/j.spc.2022.05.007 doi: 10.1016/j.spc.2022.05.007
![]() |
[82] |
Zaman K, Awan U, Islam T, et al. (2016) Econometric applications for measuring the environmental impacts of biofuel production in the panel of worlds' largest region. Int J Hydrogen Energ 41: 4305–4325. https://doi.org/10.1016/j.ijhydene.2016.01.053 doi: 10.1016/j.ijhydene.2016.01.053
![]() |
[83] |
Zaman KAU (2023) Financing the SDGs: How Bangladesh May Reshape Its Strategies in the Post-COVID Era? Eur J Dev Res 35: 51. https://doi.org/10.1057/s41287-022-00556-8 doi: 10.1057/s41287-022-00556-8
![]() |