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Article

Economic Valuation of Landscape in Marinas: Application to a Marina in Spanish Southern Mediterranean Coast (Granada, Spain)

1
Department of Civil Engineering, Universitat Politècnica de València, 46022 Valencia, Spain
2
Institute of Concrete Science and Technology (ICITECH), Department of Civil Engineering, Universitat Politècnica de València, 46022 Valencia, Spain
*
Author to whom correspondence should be addressed.
Land 2022, 11(9), 1400; https://doi.org/10.3390/land11091400
Submission received: 3 August 2022 / Revised: 17 August 2022 / Accepted: 23 August 2022 / Published: 26 August 2022

Abstract

:
Assigning a monetary value to a landscape improves its importance. It helps to realize the magnitude of the benefits that can be obtained and represents the basis for applying protection and improvement policies. As a case study, we considered Marina del Este, located on the Spanish Southern Mediterranean coast, characterized by the presence of protected natural areas of great value and a rugged coastline beautiful to sailors. This study applies the analytic multicriteria valuation method (AMUVAN) to estimate the landscape’s economic contribution. This method combines the analytic hierarchy process and discounted cash flow analysis. A total of 16 participants were considered, all with knowledge about the marina, which included areas of the marina management, management organizations with competencies in the marina environment, commercial operation, and university professors. They weighted the importance of landscape concerning the rest of the marina activities, use versus non-use values, and the components of the total economic value (TEV) of the landscape within marinas as a natural asset. Results expressed that the landscape may reach a value of around 16.3 million euros. It represents more than 3000% of the value of the marina’s profit and loss account. A detailed analysis of the components of the TEV makes it possible to propose strategies to improve the economic value of the landscape.

1. Introduction

This study contributes to landscape management through a methodology for economic valuation of the landscape in marinas. Marinas are complex infrastructures that offer the broadest range of services in nautical tourism [1,2,3,4]. The variety of facilities and amenities offered represents a focus of attraction in the coastal areas, with influence on social and economic development but also on the environment [5,6]. It is important to note that all of these conditions—both positive and negative, directly or indirectly—affect the landscape. The definition given in the European Landscape Convention reflects the idea of its dynamism, both in time and as a result of the interaction between natural forces and human beings and the perception by people of its meaning [7]. In this sense, the landscape represents the environmental asset most influenced by human sensitivity and spirit [8].
On the other hand, the landscape is an element to be considered in marinas’ management. Firstly, marinas are singular elements within the coastline, offering a diversity of landscapes, aesthetic attributes, and leisure potential [5]. Secondly, marinas are focused on pleasant functions and hospitality [9,10]. The environmental quality and scenic views have a significant bearing on the success of economic and social initiatives, representing an option for economic benefits [11]. Identity and distinctiveness also improve business [12]. This influence on their surroundings may help promote the development of the concerned area. Hence, the landscape can potentially increase social and economic benefits within an area as it provides social, economic, and environmental values [13].
The management of the landscape in marinas has varied from a purely aesthetic approach [14,15,16] to a determination of the elements that make it up [17,18,19], and its valuation [5]. Marina managers have an intuition of the importance of the landscape, but a lack of landscape training or the absence of tools for its treatment means that the perception remains in the physical aspects [3]. Monetizing the landscape is a general measurement unit to express the benefit provided to people [20]. It also may incorporate some uncertainty as it does not cover all possible impacts and damages that may occur in the environment [21]. Nevertheless, it represents the best way to realize the importance of an environmental asset [22]. Moreover, determining the magnitude of the benefit of a natural asset supports effective decision-making [23]. Thus, landscape monetization encourages better landscape management.
Focusing on the way to realize this economic gain, the economic valuation of an environmental resource is an attempt to assign a quantitative value to the goods and services provided [24]. The fundamental problem with the valuation of environmental assets is that society cannot quantify this asset concerning other economic services and products because they are based on subjectively selected criteria [25]. Assigning a monetary value to this asset not solely improves its importance because it helps to realize the magnitude of the benefits that can be obtained. However, it also represents the basis that justifies applying protection and improvement policies [26,27]. Although it is possible to relate several papers referring to the landscape valuation of specific environments [28,29,30,31], there is scarce research on landscapes in marinas. As a first approximation to this valuation, they are subject to the same risks that are attributable to coastal real estate developments [9]. An indirect way of addressing port landscape values is through those attributable to urban waterfronts. The port–city relationship in regeneration and revitalization projects of obsolete port spaces is a topic widely addressed in the literature [5]. This option is not only a source for the study but also for justifying the location of marinas in these areas as a recreational offer.
There are several methods for establishing the monetary valuation of environmental assets. Stated preference (SP) methods obtain estimates of economic value by using survey responses. Their usefulness lies in allowing the simulation of a hypothetical market to obtain an environmental asset’s economic value [32]. A common approach is a discrete choice experiment (CE) where respondents choose their preference among several multi-attribute alternatives. Another standard is discrete choice contingent valuation (CV). It is a leading tool for estimating the monetary value of non-market environmental assets [33], although some researchers have pointed out some weaknesses and doubts [34,35]. In this method, respondents are asked about their willingness for proposed change at a given cost. For instance, the most common variant is the maximum willingness-to-pay (WTP) method, which involves surveying people to elicit respondents’ willingness to pay for a good or to prevent its loss [20,36,37]. The travel cost method (TCM) investigates people’s willingness to pay to reach a particular recreational activity [38,39]. The hedonic pricing method (HPM) infers the price contribution of an environmental asset from data from a real parallel market [40]. The production function method studies the relationship between changes in an environmental asset and the profitability of a production process associated with it [41]. The total economic valuation (TEV) method is valued by preferences, trying to adopt entirely marginal values for environmental actives [42].
The main goal of this study is to evaluate the landscape in marinas using the analytic multicriteria valuation method (AMUVAN) [26,43]. In contrast to other methods of landscape valuation, this one values the landscape indirectly, comparing the relative degrees of importance given to different components of the value, using the AHP method, and applying the discounted cash flow (DCF). This technique has been used for the economic valuations of several natural environments [22,23,44,45,46]. In the case of marinas, the landscape is not the only one responsible for the activities developed. Within the profit and loss account, the contribution originated by the landscape represents a percentage of the total activities carried out in the marina. The novelty of this study is providing an alternative AMUVAN methodology to be applied in cases where it is impossible to establish the economic value of the exploitation of the environmental asset. This valuation represents an effort to improve the marina’s management by providing tools that allow marina managers: (1) to establish the importance of landscape within port management and (2) to quantify the marina landscape as a reflection of its social value. The assumption that the landscape represents an essential asset for the port can be translated into an economic quantification. It embodies a tangible input into management decision-making. It is up to the decision-makers to be aware of the totality of the objectives and the constraint of valuation.
The following sections present the case study (Marina del Este, located in La Herradura, Granada, Spain), the theoretical framework, and the methodology used for the valuation. It also includes how to identify valuable elements of the marina landscape. The results obtained are analyzed. Finally, the discussion and conclusion examine the components of landscape providing guidelines to improve its economic value. For a better understanding, Appendix A displays research data not shown to make the study concise and easier to read.

2. Materials and Methods

2.1. Study Location

The Marina del Este marina is taken as a case study. It is located on the Spanish Southern Mediterranean coast, specifically in the locality of La Herradura, in the municipality of Almunécar, Granada, Spain (Figure 1).
The coastal stretch where this marina is located is characterized by the proximity of the foothills of the Penibetic mountain range—a young, high, compact, rugged, and unstable relief—to the sea. It gives rise to a series of mountain ranges along the coast, forming an irregular and abrupt coastline. The river basins are steeply sloping, small, and irregular. This means that the deposits generated after a storm are coarse. The morphology conditions coastal transport, usually formed by small coves, inlets, and bays. The compartmentalization of the coast through rocky outcrops, the size of the sediments, and the existing depths that act as sinks mean that net transport is minimal. The orientation of the coast means that it is protected from the prevailing (west) and prevailing (east) swell. The effect of the tides is negligible, with tidal currents of around forty centimeters.
As it sinks into the sea, the abrupt orography forms abundant rocky outcrops, caves, rocky reefs, and steep bottoms, which favor the presence of both plant species and rich marine fauna seeking refuge in these areas from the pollution that threatens other parts of the coastline. In the marine environment—characterized by its richness and diversity—there are extensive meadows of phanerogams in the steepest areas, sheltered by corals, sponges, and a wide variety of fish and mollusks. In the terrestrial part, there are plant communities of great interest, with the presence of endemic species. This richness has led to the creation of the Acantilados de Maro-Cerro Gordo (ES6170002) and Acantilados y fondos marinos Punta de la Mona (ES6140016) protected natural areas. In addition to being classified as natural sites, they are integrated into Natura 2000 network as Specially Protected Area and Special Protection Area under the Birds Directive. Acantilados de Maro-Cerro Gordo also has the status of UN’s Specially Protected Areas of Mediterranean importance. This faunal biodiversity, both terrestrial and marine biota, represents an excellent attraction to the environment.
The set of coastal mountain ranges has historically acted as an obstacle to an adequate internal connection with the rest of the region. Road infrastructures run parallel to the coast. The N-340 road, with a layout with numerous curves, connects the various population centers. Later, the A-7 motorway was built with a more distant and rectilinear design. It adapts to the terrain employing numerous tunnels and viaducts. The population settled in the meadows created by the mouths of the rivers, with a decreasing number of settlements towards the interior of the mountains. This means that communications are developed along the axis of the coast, connecting with Malaga (to the west) and Almeria (to the east).
The Marina del Este marina is located in La Herradura, a district of Almuñécar (Granada), bordering the province of Málaga. This locality is situated in a small bay with a beach bottom, flanked by two rocky promontories, Cerro Gordo and Punta de la Mona, to the west and east. Although this structure gives it the character of a natural anchorage, unexpected changes in the direction of the wind drag the boats, which can become stranded on the beach or crash against the rocks. Los Berengueles is the eastern part of Punta de la Mona. This place has appeared on nautical charts since the Modern Age. However, references allude to its use as a place of refuge from westerly winds [47]. The marina was built in the 1980s, incorporating the Peñón de Las Caballas (Figure 2). It currently has 227 berths, with a maximum length of 35 m. It covers an area of about 2 ha, with a maximum draught of 6.5 m and an entrance draught of 3.7 m.
The Blue Flag for Marinas has been awarded the marina in successive years. The Blue Flag program is an environmental quality award. It is necessary to make a special effort in terms of local environmental management and nature to obtain it. The marina has to meet several requirements to gain the Blue Flag: environmental education and information, environmental management, services and safety, and water quality. The Blue Flag works towards sustainable development that gives tourists a reliable guarantee regarding the environmental quality of the marina [48].

2.2. Methodology Approach

The landscape is a non-use value, an intangible element, but it contributes to human well-being [7]. The value of this kind of good is related to its impact on human welfare in monetary terms [32]. SP methods are handy for estimating values derived directly from an environmental component that has already happened [49]. They are suitable for determining non-use values as long as they are directly related to existing markets. The fact that the landscape in the marina pertains to its management implies the validity of using the SP method to measure this non-use value.
For the valuation of the landscape in the marina, the AMUVAN method was used. It involves two techniques: (1) analytic hierarchy process (AHP), and (2) discount cash flow analysis (DCF). The first one is implemented to achieve the relative weights of the TEV components through the comparison by pairs. The second one is utilized to establish the economic values of the services related to DUV.

2.2.1. Definition of the TEV Components

The goods, services, and attributes associated with the landscape in marinas were grounded on the landscape and management elements related to marinas [5,11]. The distinction between the social and physical nature of the elements that make up the landscape serves as the basis for defining part TEV components. These are grouped into use values and non-use values. The first represents the direct profit from the landscape, providing tangible benefits [20]. The second refers to the sense of enjoyment that an individual can experience from the mere knowledge that a particular environment exists in a healthy state [50]. The use values consist of direct use values (DUV), indirect use values (IUV), and option values (OP). The non-use values are formed from existence values (EV) and bequest values (BV).

Direct Use Value (DUV)

These economic values can be derived directly from exploiting the environmental asset. Various authors have valued these uses according to the yield of the activities carried out there [22,23,26,44,45,46]. In the case of the landscape in marinas, the aim is to establish those tangible elements directly associated with port operations. According to Martín and Yepes [3], elements related to management can be classified from a landscape viewpoint, such as views of the surface of the water and its surroundings, architectural aesthetics, and the urban environment. From a management perspective, it is composed of views of boats at berths and the slipway, complementary uses (cafeterias, restaurants, shops, etc.), green areas, and regulated car parks, among others.
It is not easy to establish which benefits of a marina are attributable to this landscape. An indirect method is used for its valuation. First of all, the balance sheet of the port operation is obtained. This includes the income derived from the rental of facilities, port taxes, and other services, the expenses derived from the operation, the staff, and the concession fee. Subsequently, a weighting of its importance within port management is carried out to establish what percentage of this balance can be attributed to the landscape.
Martín and Yepes [11] point out four fundamental issues in the management of marinas: (a) services provided, (b) financial viability, (c) environmental management, and (d) maintenance. The aim is to compare the importance of the landscape with the previous ones. For this purpose, the AHP method was applied in the questionnaire below to obtain the weighting for this concept.
Thus, starting from the economic balance and applying the social discount rate, the weighting corresponding to the landscape as an element of the marina management is applied to obtain its direct use value.

Indirect Use Value (IUV)

It is the set of economic functions performed by the environmental asset and not detected by the market. It comprises other tangible elements not directly associated with the port operation but influencing it by being attractive to users. Those connected with the landscape include the beaches adjacent to the port, the promenades, and the existence of maritime flora and fauna in the seaport (breakwater and inland waters) and the vicinity. Related to management, the holding of exhibitions or fairs and the awarding of quality labels are considered.
Tourism is associated with recreation activities such as nautical excursions to nearby protected areas, scuba diving, or fishing activities. However, they are not considered direct uses, as it is assumed that they exist because of the attractiveness of the environment itself, not only because of the presence of the marina.

Option Value (OV)

The option value is the value consumers are willing to pay to preserve the opportunity to use the environmental asset in the future [51,52]. These are essential functions of the environmental asset that are currently unknown. It is the value of the asset’s tangible elements in the future. On the one hand, an attractive landscape is an opportunity for increased commercial and tourist activities in the harbor and property development. On the other hand, the maintenance and improvement of the environmental quality is an indispensable requirement for suitable compatibility with the surrounding natural areas.

Existence Value (EV)

It is the value of the environmental asset generated by simply knowing its existence. It is not associated with any production activity but is subject to understanding and appreciation [51]. In the case of the landscape in marinas, this value is made up of all the intangible elements of the landscape that cannot be enjoyed until you are in the marina. They include the existence of a pleasant environment, the maintenance of environmental quality so that it is also healthy, a safe environment, the cultural identity of the port understood as a place for meeting and exchange of experiences, or the character of the landscape as what makes it different other marinas. Any other tangible elements of the landscape, such as sights, are not part of this value as they can be appreciated in any image without having to be in the marina.

Bequest Value (BV)

It represents the value people are willing to pay to preserve natural resources for future generations [53]. It consists of the value that the asset can be enjoyed by future generations, i.e., the value of maintaining the landscape for future enjoyment and the value that intangible elements may have for the future. It is about valuing the legacy that the landscape represents for successive generations.

2.2.2. AHP Survey

The AHP method is a general theory to solve multicriteria decision-making using judgments and understandings when involved intangibles values. It obtains the priorities or a set of alternatives by establishing ratings for each criterion and prioritizing them by pairwise comparing or preference. To this, a pairwise comparison matrix is obtained through the compassion of all the alternatives involved. A scale is used to indicate how much more important one element is over another concerning the criterion to which they are compared. The AHP method gets the proportionality of priority of each alternative considered through weights representing the relative strength of the compared option against another [54].
Academics widely adopt AHP in multiple studies related to port management [55,56,57,58]. Although there has been a lack of its use in marina management [59], some examples exist [3,11].

2.2.3. Social Discount Rate

The updating of futures is completed through the discount rate. This is the preference for consumption in the present versus the future, so it is about the degree of sustainability of society’s consumption of goods and services. A zero-discount rate indicates that society attaches equal importance to current and future consumption. A positive rate shows a preference for current over future consumption, meaning that postponing consumption today is less attractive than postponing it in the future. It is the existence of a greater sensitivity to delays in the present than those that might occur in the future [43].
The choice of social discount rate is crucial in evaluating projects [60]. Nevertheless, there is no consensus on establishing and measuring this rate [61], as each proposal entails a different ethical conception of developing the intergenerational distribution of goods and services [43]. Various authors have compiled various discount rates applied by different countries [61,62,63]. There are three approaches to setting this rate. One of the most common ways is to consider a constant rate equivalent to the social preference rate. It is defined as the length of time society is willing to postpone today’s consumption to exchange it for higher levels of future consumption [64]. It is a prescriptive approach, as the rate is set in terms of sustainability for future generations. The second approach considers the social opportunity cost. It reflects the social view of how future costs and benefits should be evaluated to the remaining ones, i.e., the lost profit concerning the best alternative project [63]. This approach is descriptive, as it deals with the return on capital invested in a set of alternative assets. The third approach combines the previous approaches, in which both current consumer preferences and forgone profits are considered.
In practice, the discount rate is determined by the benchmark values indicated in some manuals. The social discount rate varies between 3–7% in developed countries [65]. The European Commission [63] suggests using a rate of 5% for countries benefiting from the Cohesion Fund, applicable to states with a Gross National Product per capita of less than 90% of the community average, and 3% for the rest. The latter is the case for Spain.
As mentioned above, the TEV is the set of functions the environmental asset detectable by the market performs. The rent generated is proportional to the cash flow generated. Based on the assumption that the cash flow will remain relatively constant, the UDV can be approximated by the rent generated divided by the discount rate.

2.2.4. AMUVAN

The methodology starts from the DUV as pivot value because it associates economic functions with market values. It is the tangible value obtained from the direct revenues from the resource exploitation. The DCF analysis assumes that the economic value of an asset corresponds to the present value of the sum of the future revenues derived from this asset.
V = i = 1 n R ( 1 R ) i = R ( 1 R ) + R ( 1 R ) 2 + R ( 1 R ) 3 + + R ( 1 R ) n = R r
where
V = value of the environmental asset (DUV)
R = future income generated
r = update date (social discount rate)
Operating, the DUVvalue results from the following expression:
DUV value = D U V s o c i a l   d i s c o u n t   r a t e
Once the pivot rate is known, the rest of the TEV components are estimated using the AHP method’s relative weights. They must be considered both individual TEV weights and relative weights between value and non-value components.
IUV = D U V D U V w e i g h t   ·   IUV weight
OV = D U V D U V w e i g h t   ·   OV weight
EV = D U V D U V w e i g h t   ·   EV weight
BV = D U V D U V w e i g h t   ·   BV weight
The TEV is achieved as the sum of the individual value of the components considered Equations (2)–(6):
TEV = DUV + IUV + OV + EV + BV

2.3. Selection of Participants

SP methods involve survey respondents being questioned to understand the valued assets from answers obtained. Information provided by respondents is crucial. The outputs’ reliability will come from the proper selection of the participants [49,66]. Thus, the two determining factors in selecting respondents were: (a) knowledge about the marina and its environment; (b) varied and representative participation to avoid biased results.
To meet the above two requirements, state-of-the-art establish a number of experts between 10 and 18 [67]. In this case, 16 people were selected with knowledge about the marina. Their backgrounds ensured a diversity of judgment by including areas of the marina management, management organizations with competencies in the marina environment, commercial operation, and university professors. Table 1 shows the type and origin of participants.

2.4. Questionnaire

A survey was prepared for the selected group of people. First, the assessment’s reason and significance were explained, as well as how the AHP method works. Subsequently, the set of paired comparisons was presented, establishing the significance of one to the other and its quantification. This assessment was based on value judgments on a scale ranging from 1 to 5 (1—equal importance, 2—moderate importance of one concerning the other, 3—essential or great importance, 4—very great importance, 5—extreme importance).
The questionnaire consisted of two parts. In the first part, the landscape was weighted concerning the other activities of marina management. The second part dealt with the assessment of the landscape itself. Each participant had to make a comparison on two levels. Firstly, they had to compare the values of use versus non-use. Then, the TEV values were compared with each other. In both cases, when presenting a pairwise comparison, they were asked which of the two they considered more important for the marina in terms of landscape value. This value was then to be established on the scale given, considering their knowledge and experience. Attending to Mitchell and Carson [68], a sufficiently understandable and meaningful scenario is crucial for a CV. Respondents should be able to provide valid and reliable value despite their lack of experience with the given scenario. In this sense, the survey incorporated examples to understand the TEV components better.
The survey was conducted between mid-February and March 2022. As related above, half of the surveys were carried out with people working at the marina. These surveys were run at the interviewees’ places of work. The rest of the surveys were conducted via e-mail.

2.5. Data Analysis

For a given environmental asset, it is assumed that a given value of the components of TEV may help to obtain the value of the remaining components. To this, the results of an AHP method are used to obtain weighted values. Various components of the TEV integrated into this asset are delimited. These components are then weighted using the AHP method.
The core aim of the AHP methodology is to provide a tool to assist in the decision-making process by weighting the various options in a pairwise compassion manner. Saaty [54] initially established a 9-point scale. However, given the complexity of the elements to be addressed, relating to the tangible and intangible values of the landscape, the assessment of the pairwise comparisons was reduced to a 5-point scale. The comparison matrix is formed by elements representing a subjective judgment provided by the decision-maker of the relative importance of two elements. Once these matrices have been established, it is necessary to determine the consistency of the experts’ judgments, avoiding contradictions or biases. The AHP method applies the consistency ratio (CR) to measure individual inconsistency. If CR is less than 0.10, the judgments are consistence and valid. In this case, the next step was to obtain the eigenvector. For this, the methodology was proposed by Aznar y Guijarro [26].
CI = λ m a x n n 1
The consistency ratio (CR) is obtained by comparing the CI with the random consistency index (RI), which depends on the size of the matrix considered:
CR = CI RI
For n = 5, RI considered is 1.12.

3. Results

Each judgment matrix reflects the opinion of an expert, and the results may differ from each other. However, solely the consistency matrices are considered. Of 16 participants, 13 matrices were consistent with the management survey and 11 for the value survey. Criteria weights were obtained by applying the eigenvector method and ordered by importance. Average values of valued responses were obtained to find a unique vector of weights (Appendix A).
Based on the information provided by the marina manager of Marinas del Mediterráneo, data were taken for the 2019 financial year to avoid distortions generated by the effect of the COVID-19 pandemic. In that year, the income profit statement amounted to around EUR 468,000. Thus, the contribution of the landscape to this profit corresponds to EUR 107,074.80. After updating the calculated value derived from the landscape for a 3% tax, the estimated DUV was EUR 3,569,160.00. Table 2 shows the global value derived from AMUVAN analysis (3)–(7).
As a general figure, it can be estimated that the value of the landscape in Marina del Este amounts to about EUR 16.3 million. The landscape represents an increased value of 3175.90% over the income statement profit.

4. Discussion

In assigning a landscape value to an area, several authors start from the value of the activities carried out in the study area [22,69,70]. The linchpin of the AMUVAN method is the value of environmental goods and services obtained from the exploitation of resources in the study area. However, within a marina’s profit and loss account, it is impossible to determine how much of this benefit is attributable to the landscape. This approach is, therefore, novel compared to other studies.
Related to management activities, marinas should be able to balance higher profit, which simultaneously means lower cost, with an appropriate and sustainable way to manage the demand for services [2,71,72]. However, in this case study, the natural environment is crucial. It is reflected in a higher weighting of the activities corresponding to “Environmental management” (0.2646) and “Landscape” (0.2288). Over the last decades, there has been an increasing concern for environmental protection, as well as the implementation of principles regarding sustainability. These two terms focus on environmental sustainability, which is important in the case of marinas. This is due to the location of these infrastructures in a sensitive environment such as the coast [73]. Sustainability research generally sees sustainability as an integrative concept in which environmental, social, and economic concerns are interrelated [74,75]. In the context of marinas, scholars have addressed sustainability accordingly in a twofold perspective [6]. In terms of environmental concerns, environmental management has been seen as promoting sustainability in marina operations. Regarding social and economic concerns, marina facilities have supported local welfare and economic activity. In addition, environmental aspects and sustainable development, together with economic development, enhance the social dimension of this type of maritime infrastructure [76,77,78]. Thus, the marina under study reflects the importance of the landscape and the environmental quality of the surroundings as key elements in port management. These aspects represent the identity of the marina and are the subject of tourism promotion advertising campaigns (Figure 3).
Concerning port maintenance, it is a critical point in the life cycle approach due to the marine environment’s aggressiveness and the increase in damage due to climate change impacts [79]. Maintenance is strongly linked to the correct provision of services. Thus, good maintenance of the infrastructures results in an adequate perception of their quality [11]. In this case, the weighting assigned to maintenance (0.2083) may reflect the need to maintain existing environmental quality.
Based on the normalized values after applying the weighting coefficients of the values of use and non-use, it can be seen that the most critical value is the direct use value. It was no surprise, given that it represents the landscape’s most tangible and direct benefit (Figure 4). The physical elements are often the most valued as landscape issues within marinas. However, the importance of highlighting the intangible links with the environment should be pointed out beyond mere physical perception [3].
Indirect use values are of great importance in this marina. Numerous activities enhance the knowledge of the landscape through scuba diving or nautical excursions. However, in addition to maintaining quality and satisfaction in these activities, it is necessary to promote other elements, such as the quality of the adjacent beaches, improving the promenades in the vicinity of the marina, and increasing the number of viewpoints within them [11]. Coordination with other administrations to improve the environmental quality of the surroundings means enhancing indirect use values.
The option value is highly uncertain because it relates to people’s expectations [35]. This value should influence whether or not to maintain the landscape because it satisfies the demand for future use. In another case, it may be an alternative use [52]. Applying stable governance and management policies for protected areas has implications for economic production and a balanced distribution of the resulting value flows [80]. Therefore, this value increases when future actions can be placed in predictable scenarios. In the case study, the fact that there is an environmental policy that establishes protected areas is an advantage for the landscape. However, there is uncertainty about the degree of urbanization of the environment. There is a link between marinas and the development of real estate projects [5,6].
On the other hand, a given space acquires the status of the landscape when we consider the interrelationships between people and their surroundings [3,81]. Through observation and experiences, people associate a range of material and non-material values with landscape [82]. Dasgupta et al. [83] establish two attributes of intangible values of the landscape. Firstly, they are usually spatial and cannot be substituted externally. Secondly, they are not specific to any particular landscape, although they are spatially related. Thus, the intangible values of a landscape are associated with the sense of place that people acquire in a given space. This sense is made up of people’s emotional relationships with that particular place and the symbolic meanings they assign to it [11,84]. In this sense, the weighting given to non-material values reflects the emotional attachment of marina users to the maritime infrastructure. From the results obtained, the existence of an emotional attachment to the marina in the study is not the most relevant issue, although this difference is slight (0.4733 for intangible values). However, this may be due to a lack of understanding of the terms of the survey.
The perceived reality of existence value is volatile and depends on knowledge and competence [51]. This value rises rapidly with the knowledge of its existence and the absence of substitutes. Therefore, the more the landscape is explained and disseminated, the higher the existence value will be. This transmission of knowledge must be continuous and varied to maintain interest and thus reduce its volatility. The fact that it is a marina with a unique landscape and that it is not comparable to other existing marinas in the vicinity also increases its value existence.
If the weighting coefficients for use and non-use values were not applied, the most important value would be the bequest value. Whenever more than one person uses a resource, the way it is used in the present conditions its future use and may increase or decrease its value [35]. The concept of sustainability is directly associated with the bequest value. Sustainability is a linchpin in marinas’ management to ensure recreational activities and facilitate the development of future opportunities [2,6,11]. In this respect, several sustainable policies may be applied. Marinas use the seas and oceans as resources for their development. According to UN Sustainable Development Goal 14, the use of the oceans, seas, and marine resources should be grounded on conservation and sustainably [85]. Similarly, the concept of blue economy—which recognizes the importance of using the oceans and seas as drivers of the economy sustainably and profitably—includes coastal tourism and port activities [9,86]. Therefore, the more sustainability is integrated into the management plans, the greater the bequest value.
There is controversy over whether improving accessibility to a site enhances the value of its landscape. The potential environmental impacts are pitted against people’s welfare and quality of life [87]. In the case of natural environments, the conservation of unique habitats and their proper use represents a potential tourist resource and a practice of environmental sustainability [88]. Furthermore, unmanaged and mass tourism negatively impacts the environment, landscape, and natural resources [89]. So, a balance must be sought between the number of visitors and the preservation of the environmental quality of the surroundings [90]. Environmental preservation is not solely a competence of the marina, but there must be coordination with the competent administrations. Once again, the need for collaboration to improve landscape management is clear. Breaking through the glass ceiling of independent operations and undertaking sufficient coordination between stakeholders is one of the challenges in managing the marina sector [91].
Despite dealing with a subjective concept such as landscape, there was a high degree of consistency in the responses (Appendix A). This shows that the importance of the marina environment and its landscape uniqueness is an issue assimilated by most of the respondents. However, the number of face-to-face interviews reflects the lack of willingness to participate. Moreover, the need to resolve doubts in these interviews shows the difficulty in understanding the concepts associated with landscape valuation. It confirms the need to organize specific training courses for the marina staff [92] and the stakeholders. This involvement of all the people working in the marina also represents an important fact in improving the landscape and its management [93]. Management implies a mutual commitment between various parties, including managers, stakeholders, and users [94].
Finally, the value obtained corresponds to the income statement for 2019. It would be necessary to perform a time series based on the results of several years. In this way, it is possible to estimate an average value and analyze the financial results with the decisions taken about the landscape.

5. Conclusions

Generally speaking, marina management includes the control and organizing of the marina. Dealing with landscape management, ELC encourages the identification and assessment of landscapes through field research professionals working with local inhabitants. In this sense, the first step for marina managers should be identifying the main landscape items within their marinas. This study provides a methodology to give an economic valuation of the landscape in marinas. For this purpose, it is used the AMUVAN methodology to address the issue of the economic valuation of the landscape in a marina as part of the TEV. The main contribution is to present a variant when it is not possible to directly determine the values resulting from the exploitation of the environmental asset. AMUVEN not only estimates TEV but also obtains the partial values of its components, thus allowing for a more detailed analysis.
Concerning its weaknesses, the main obstacles were a limitation in understanding the concept of landscape and, therefore, in the assimilation of the various components of the TEV. Respondents perceived the importance of landscape, although it was sometimes difficult to understand the multiple concepts. Furthermore, this understanding represents the basis for credible comparisons.
In this study, the method is applied to evaluate the landscape of Marina del Este, located on the southern Mediterranean coast of Spain (Granada). This marina is characterized by protected natural areas of great value and a rugged coastline, with coves and caves that are very attractive to sailors. It is reflected in the importance of the landscape compared to other aspects of port management. It is also evident in its valuation, estimated at EUR 16.3 million. It represents more than 3000% of the value of the marina’s profit and loss account.
In order to increase the economic value of the landscape in marinas, specific management measures can be considered. The first step consists of improving the port’s landscape aspects, promoting knowledge of the port’s surroundings, and promoting knowledge of the port’s immediate surroundings, favoring accessibility and environmental improvement. However, it is also necessary to act on other aspects to promote non-use values. Implementing environmental plans, incorporating sustainability criteria in marina management, applying stable environmental policies, and sustainable urban development plans are examples of how to increase this value. These actions should be integrated into the general port management, which, in each case, must incorporate monitoring and control measures to evaluate the effectiveness of the measures adopted.

Author Contributions

Conceptualization, R.M. and V.Y.; methodology, R.M. and V.Y.; software, R.M.; validation, R.M. and V.Y.; formal analysis, R.M.; resources, V.Y.; data curation, R.M.; writing—original draft preparation, R.M.; writing—review and editing, R.M. and V.Y.; visualization, R.M.; supervision, V.Y.; project administration, V.Y.; funding acquisition, V.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Ministerio de Ciencia e Innovación grant number PID2020-117056RB-100.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors acknowledge the Grant PID2020-117056RB-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”. We also recognize all those professionals who agreed to participate in the survey. This study would not have been possible without the contribution of their time, interest, effort, and knowledge. The authors are grateful to Manuel Raigón, Managing Director of Marinas del Mediterráneo, for the contribution of his vision and knowledge of Marina del Este.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

This appendix contains the results of AHP survey. Firstly, the landscape was weighted related to the management elements (services provided, financial feasibility, environmental management, and maintenance). Of 16 respondents, 13 obtained consistencies in their answers (81.25%). Table A1 shows the weighted values obtained and the ranks.
Table A1. Weighted coefficient related to the landscape and management activities.
Table A1. Weighted coefficient related to the landscape and management activities.
Services
Provided
Financial
Feasibility
Environmental ManagementMaintenanceLandscapeCR (%)
Respondent 10.10650.07680.52780.17920.10966.2
Rank45123
Respondent 30.10740.08870.39540.12490.28352.1
Rank45132
Respondent 40.31510.31510.14170.14170.08641.6
Rank11335
Respondent 50.25660.19410.16090.19410.19413.4
Rank12522
Respondent 70.05470.05470.42840.13450.32768.9
Rank44132
Respondent 80.26890.16560.21670.24930.09951.7
Rank14325
Respondent 90.25900.14530.20540.33360.05679.8
Rank24315
Respondent 100.15990.06490.29890.16650.30979.3
Rank45231
Respondent 120.17050.08330.20020.24110.30489.2
Rank45321
Respondent 130.11380.22290.10140.19160.37037.0
Rank43531
Respondent 140.10610.06340.27680.23010.21436.8
Rank45123
Respondent 150.24590.07970.23010.23010.21430.9
Rank35114
Respondent 160.07560.08290.25570.28490.30094.1
Rank54321
Average0.17230.12600.26460.20830.2288
Rank45132
Secondly, use and nonuse values are compared. They are listed in Table A2.
Table A2. Weighted coefficient related to use and nonuse value.
Table A2. Weighted coefficient related to use and nonuse value.
RespondentUseNonuse
10.500.50
20.500.50
30.350.75
40.750.25
50.500.50
60.200.80
70.200.80
80.500.50
90.500.50
100.750.25
110.750.25
120.500.50
130.750.25
140.500.50
150750.25
160.500.50
Average0.52670.4733
Finally, the different TEV components were compared pairwise. In this case, 11 judgments matrices were consistent (68.75%). The results of the weighted values and the ranks are shown in Table A3.
Table A3. Weighted coefficient related to TEV components.
Table A3. Weighted coefficient related to TEV components.
DUVIUVOVEVBVCR (%)
Respondent 10.06610.06470.14980.23440.48508.8
Rank45321
Respondent 30.12110.24600.05300.11580.46414.8
Rank32541
Respondent 40.38750.23080.16400.12400.09373.3
Rank12345
Respondent 50.20000.20000.20000.20000.20000.0
Rank11111
Respondent 60.09480.07800.12590.32220.37910.4
Rank45321
Respondent 70.09100.26000.20040.20040.24010.2
Rank51332
Respondent 100.15380.13330.10960.31080.29366.7
Rank24512
Respondent 110.36280.18330.11560.27720.06107.6
Rank13425
Respondent 120.36280.18330.11560.27720.06107.6
Rank13425
Respondent 130.24970.35880.12800.15070.11280.7
Rank21435
Respondent 160.20000.20000.20000.20000.20000.0
Rank11111
Average0.20890.19440.14200.21930.2354
Rank34521

References

  1. Benevolo, C.; Spinelli, R. Benefit segmentation of pleasure boaters in Mediterranean marinas: A proposal. Int. J. Tour. Res. 2020, 23, 134–145. [Google Scholar] [CrossRef]
  2. Maglić, L.; Grbčić, A.; Maglić, L.; Gundić, A. Application of smart technologies to Croatian marinas. Trans. Marit. Sci. 2021, 10, 178–188. [Google Scholar] [CrossRef]
  3. Martín, R.; Yepes, V. Assessing the relationship between landscape and management within marinas: The managers’ perception. Land 2022, 11, 961. [Google Scholar] [CrossRef]
  4. Martínez-Vázquez, R.M.; de Pablo Valenciano, J.; Milán-García, J. Impact analysis of marinas on nautical tourism in Andalucia. J. Mar. Sci. Eng. 2022, 7, 780. [Google Scholar] [CrossRef]
  5. Martín, R.; Yepes, V. The concept of landscape within marinas: Basis for consideration in the management. Ocean Coast. Manag. 2019, 179, 104815. [Google Scholar] [CrossRef]
  6. Martínez-Vázquez, R.M.; Valenciano, J.P.; Caparrós-Martínez, J.L. Marinas and sustainability: Directions for future research. Mar. Pollut. Bull. 2021, 164, 112035. [Google Scholar] [CrossRef]
  7. Council of Europe. European Landscape Convention and Explanatory Report. Council of Europe. Document by the Secretary General Established by the General Directorate of Education, Culture, Sport and Youth, and Environment. 2000. Available online: https://rm.coe.int/CoERMPublicCommonSearchServices/DisplayDCTMContent?documentId=0900001680080621 (accessed on 15 May 2022).
  8. Gómez-Sal, A.; Belmontes, J.A.; Nicolau, J.M. Assesing landscape values: A proposal for a multidimensional conceptual model. Ecol. Modell. 2003, 168, 319–341. [Google Scholar] [CrossRef]
  9. Lazarus, E.D.; Ziros, L.A. Yachts and marinas as hotspots of coastal risk. Anthr. Coasts 2021, 4, 61–76. [Google Scholar] [CrossRef]
  10. Martín, R.; Yepes, V. El paisaje en la planificación y gestión de los puertos deportivos en Andalucía [The landscape in the planning and management of marinas in Andalucia]. Rev. Obras Públicas 2017, 164, 38–55. [Google Scholar]
  11. Martín, R.; Yepes, V. Bridging the gap between landscape and management within marinas: A review. Land 2021, 10, 821. [Google Scholar] [CrossRef]
  12. Benevolo, C.; Spinelli, R. The use of websites by Mediterranean tourist ports. J. Hosp. Tour. Technol. 2019, 10, 190–204. [Google Scholar] [CrossRef]
  13. Rodella, I.; Corbau, C. Linking scenery and users’ perception analysis of Italian beaches (case studies in Veneto, Emilia-Romagna and Basilicata regions). Ocean Coast. Manag. 2020, 183, 104992. [Google Scholar] [CrossRef]
  14. Adie, D.W. Marinas: A Working Guide to Their Development and Design, 3rd ed.; The Architectural Press Ltd.: London, UK, 1984. [Google Scholar]
  15. Chaney, C.A. Marinas: Recommendations for Design, Construction and Maintenance, 2nd ed.; National Association of Engine and Boat Manufacturers, Inc.: New York, NY, USA, 1961. [Google Scholar]
  16. Ministerio de Obras Públicas. La Cuarta Flota. Directrices Aplicables a la Promoción de Iniciativas [The Fourth Fleet. Guidelines Applicable to the Promotion of Initiatives]; Servicio de Publicaciones MOP: Madrid, Spain, 1975.
  17. Girard, L.F. Towards a smart sustainable development of port/cities areas: The role of the “Historic Urban Landscape” approach. Sustainability 2013, 5, 4329–4348. [Google Scholar] [CrossRef]
  18. Roff, S. Landscape Design Guidelines for Marinas. Ph.D. Thesis, Lincon College, University of Canterbury, Christchurch, New Zeeland, 1987. [Google Scholar]
  19. Trisutomo, S. Visual assessment on coastal cruise tourism: A preliminary planning using importance-performance analysis. IOP Conf. Ser. Earth Environ. Sci. 2017, 79, 012014. [Google Scholar] [CrossRef]
  20. Jahandideh-Kodehi, G.; Kavoosi-Kalashami, M.; Motamed, M.K. Landscape valuation of historical tourism site in Northern Iran: A case study from Sheikh-Zahed Tomb. Geoscape 2021, 15, 79–89. [Google Scholar] [CrossRef]
  21. Fant, C.; Gentile, L.E.; Herold, N.; Kunkle, H.; Neumann, J.; Martinich, J. Valuation of long-term coastal wetland changes in the U.S. Ocean Coast. Manag. 2022, 226, 106248. [Google Scholar] [CrossRef]
  22. Barrial-Lujan, A.I.; Delgado-Laime, M.C.; Huamán-Carrión, M.L.; Tapia-Tadeo, F.; Ponce-Atencio, Y.; Rodrigo-Cabezas, Y. Amuvan model for the economic valuation of environmental assets of the Pacuha Lagoon ecosystem. Rev. Univ. Soc. 2022, 14, 762–774. [Google Scholar]
  23. Estruch-Guilart, V.; Valls-Civera, A. An economic valuation of ecosystem services provided by the River Turia Natural Park (Valencia). Econ. Agrar. Recur. Nat. 2018, 18, 91–115. [Google Scholar]
  24. Barbier, E.B.; Acreman, M.; Knowler, D. Economic Valuation of Wetlands; Ramsar Convention Bureau: Gland, Switzerland, 1997. [Google Scholar]
  25. Panagopuolos, T. Linking forestry, sustainability and aesthetics. Ecol. Econ. 2009, 68, 2485–2489. [Google Scholar] [CrossRef]
  26. Aznar, J.; Guijarro, F. Nuevos Métodos de Valoración. Modelos Multicriterio; [New Valuation Methods. Multi-Criteria Models]; Universitat Politècnica de València: Valencia, Spain, 2020. [Google Scholar]
  27. Molina, J.A.; Rodríguez y Silva, F.; Herrera, M.A. Integrating economic landscape valuation into Mediterranean planning. Environ. Sci. Policy 2016, 56, 120–128. [Google Scholar] [CrossRef]
  28. Acharya, R.P.; Maraseni, T.N.; Cockfield, G. Estimating the willingness to pay for regulating and cultural ecosystem services from forested Siwalik landscapes: Perspectives of disaggregated users. Ann. For. Sci. 2021, 78, 51. [Google Scholar] [CrossRef]
  29. Hatan, S.; Fleischer, A.; Tchetnik, A. Economic valuation of cultural ecosystem services: The case of landscape aesthetics in the agritourism market. Ecol. Econ. 2021, 184, 107005. [Google Scholar] [CrossRef]
  30. Shedayi, A.A.; Xu, M.; Gonalez-Redin, J.; Ali, A.; Shahzard, L.; Rahim, S. Spatiotemporal valuation of cultural and natural landscapes contributing to Pakistan’s cultural ecosystem services. Environ. Sci. Pollut. Res. 2022, 29, 41834–41848. [Google Scholar] [CrossRef] [PubMed]
  31. Zhou, T.; Kennedy, E.; Koomen, E.; van Leewen, E.S. Valuing the effect of land use change on landscape services on the urban-rural fringe. J. Environ. Plan. Manag. 2020, 63, 13. [Google Scholar] [CrossRef]
  32. Johnston, R.J.; Boyle, K.J.; Adamowicz, W.; Bennett, J.; Brouwer, R.; Cameron, T.A.; Hanemann, W.M.; Hanley, N.; Ryan, M.; Scarpa, R.; et al. Contemporary guidance for stated preference studies. J. Assoc. Environ. Resour. Econ. 2017, 4, 319–405. [Google Scholar] [CrossRef]
  33. Bishop, R.C.; Champ, P.A.; Brown, T.C.; McCollum, D.W. Measuring Non-Use Values: Theory and Empirical Applications. In Determining the Value of Non-Marketed Goods: Studies in Risk and Uncertainty; Kopp, R.J., Pommerehne, W.W., Schwarz, N., Eds.; Springer: Dordrecht, The Netherlands, 1997; pp. 59–81. [Google Scholar] [CrossRef]
  34. Freeman, A.M.; Herriges, J.A.; Kling, C.L. The Measurement of Environmental and Resource Values. In Theory and Methods; RFF Press: New York, NY, USA; Routledge: London, UK, 2014. [Google Scholar]
  35. Diamond, P.A.; Hausman, J.A. On contingent valuation measurement of nonuse values. In Contingent Valuation: A Critical Assessment (Contributions to Economic Analysis); Emerald Group Publishing Limited: Bingley, UK, 1993; Volume 220, pp. 3–38. [Google Scholar] [CrossRef]
  36. Perni, A.; Barreira-Hurlé, J.; Martínez-Paaz, J.M. Contingent valuation estimates for environmental goods: Validity and reliability. Ecol. Econ. 2021, 189, 107144. [Google Scholar] [CrossRef]
  37. Sena, M.; Rodríguez Morris, M.; Seib, M.; Hicks, A. An exploration of economic valuation of phosphorus in the environment and its implications in decision making for resource recovery. Water Res. 2020, 172, 115449. [Google Scholar] [CrossRef]
  38. Chapagain, B.P.; Poudyal, N.C. Economic benefit of wildlife reintroduction: A case of ek hunting in Tennesse, USA. J. Environ. Manag. 2020, 269, 110808. [Google Scholar] [CrossRef]
  39. Matthew, N.K.; Shuib, A.; Ramachandran, S.; Mohammad-Afandi, S.H. Economic valuation using travel cost method (TCM) in Kilim Karst Geoforest Park, Lankawi, Malasya. J. Top. For. Sci. 2019, 31, 78–89. [Google Scholar] [CrossRef]
  40. Tapasuwan, S.; MacDonald, D.H.; King, D.; Pudyal, N. A combined site proximity and recreation index approach to value natural amenities: An example from a natural resource management region of Murray-Darling Basin. J. Environ. Manage. 2012, 94, 69–77. [Google Scholar] [CrossRef]
  41. Faber, J.H.; Marshall, S.; Brown, A.R.; Holt, A.; van den Brink, P.J.; Maltby, L. Identifying ecological production functions for use in ecosystem services-based environmental risk assessment of chemicals. Sci. Total Environ. 2021, 791, 146409. [Google Scholar] [CrossRef] [PubMed]
  42. Kristiningru, R.; Lahjie, A.M.; Masjaya Yusuf, S.; Ruslim, Y.; Fur, A.M. Fauna diversity, production potential and total economic value or mangrove ecosystems in Mentawir Village, East Kalimantan, Indonesia. Biodiversitas 2020, 21, 1940–1953. [Google Scholar] [CrossRef]
  43. Aznar, J.M.; Estruch, A.V. Valoración de Activos Ambientales. Teoría y Casos; [Valuation of environmental assets. Theory and cases]; Universitat Politècnica de València: Valencia, Spain, 2012. [Google Scholar]
  44. Aznar, J.; Estruch, A.V.; Aragonés, P. Environmental asset valuation method using AMUVAN: Application to the assessment of the Natural Park of Ebro River Delta. In Proceedings of the XI International Symposium on the Analytic Hierarchy Process, Naples, Italy, 15–18 June 2011. [Google Scholar] [CrossRef]
  45. Estruch, V.; Vallés, M. The economic value of landscape aesthetics in Albufera Natural Park through the Analytic Multicriteria Valuation Method. Int. J. Des. Nat. Ecodyn. 2017, 12, 281–302. [Google Scholar] [CrossRef]
  46. García, J.; Balderrama, A.S. Modelo AMUVAN para la valuación de espacios eco-tecnológicos. Caso de estudio: Viabilidad solar proyectada en la ciudad de Tijuana [AMUVAN model for the valuation of eco-technology spaces. Case study: Projected solar roads in the city of Tijuana]. Rev. Dir. Cid. 2018, 10, 1813–1841. [Google Scholar] [CrossRef]
  47. Martín, R.; Copado, F. El concepto de paisaje a través de los instrumentos de planificación portuaria: Aplicación a la náutica recreativa en la provincia de Granada [The concept of landscape through port planning instruments: Apllication to recreational boating in the province of Granada]. In Proceedings of the XIV Spanish Coastal and Port Conference, Alicante, Spain, 24–25 May 2017; pp. 727–738. [Google Scholar]
  48. Creo, C.; Fraboni, C. Awards for the sustainable management of coastal tourism destinations: The example of the Blue Flag program. J. Coast. Res. 2011, 61, 378–381. [Google Scholar] [CrossRef]
  49. Bennett, J. Estimating the value of Australian environmental assets. Australas. J. Environ. Manag. 2011, 18, 21–32. [Google Scholar] [CrossRef]
  50. Larson, D.M. Can non-use value be measured from observable behavior? Am. J. Agric. Econ. 1992, 74, 1114–1120. [Google Scholar] [CrossRef]
  51. Randall, A.; Stoll, J.R. Existence value in a total valuation framework. In Managing Air Quality and Scenic Resources at National Parks and Wilderness Areas; Chesnut, L.G., Rowe, R.D., Eds.; Westview Press: Boulder, CO, USA, 1983; pp. 265–274. [Google Scholar]
  52. Weisbroad, B.A. Collective-consumption services of individual-consumption goods. Q. J. Econ. 1964, 78, 471–477. [Google Scholar] [CrossRef]
  53. Yeh, C.C.; Lin, C.S.; Huang, C.H. The Total Economic Value of sport tourism in belt and road development—An environmental perspective. Sustainability 2018, 10, 1191. [Google Scholar] [CrossRef]
  54. Saaty, T. The Analytical Hierarchy Process; McGraw Hill: New York, NY, USA, 1980. [Google Scholar]
  55. Adenso-Díaz, B.; García-Álvarez, N.; Lago-Alba, J.A. A fuzzy AHP classification of container terminals. Marit. Econ. Logist. 2020, 22, 218–238. [Google Scholar] [CrossRef]
  56. Carrese, S.; Petrelli, M.; Renna, A. A new approach for the identification of strategic Italian ports for container traffic. Transp. Policy 2022, 120, 47–55. [Google Scholar] [CrossRef]
  57. Lorenčič, V.; Twrdy, E.; Lap, M. Cruise port performance evaluation in the context of port authority: An MCDA approach. Sustainability 2022, 14, 4181. [Google Scholar] [CrossRef]
  58. Zhang, N.; Gao, J.; Xu, S.; Tang, S.; Gun, M. Establishing an evaluation index system of Coastal Port shoreline resources utilization by objective indicators. Ocean Coast. Manag. 2022, 217, 106003. [Google Scholar] [CrossRef]
  59. Gumusay, M.U.; Koseoglu, G.; Bakirman, T. An assessment of site suitability for marina construction in Istanbul, Turkey, using GIS and AHP multicriteria decision analysis. Environ. Monit. Assess. 2016, 188, 677. [Google Scholar] [CrossRef] [PubMed]
  60. Greaves, H. Discounting for public policy: A survey. Econ. Philos. 2017, 33, 391–439. [Google Scholar] [CrossRef]
  61. Campos, J.; Serebrisku, T.; Suárez-Alemán, A. Times Goes by: Recent Developments on the Theory and Practice of the Discount Rate. Inter-American Development Bank. 2015. Available online: https://publications.iadb.org/en/publication/17020/time-goes-recent-developments-theory-and-practice-discount-rate (accessed on 12 February 2022).
  62. Castillo, J.G.; Zhangallimbay, D. La tasa social de descuento en la evaluación de proyectos de inversión: Una aplicación para el Ecuador. Rev. CEAPL 2021, 134, 77–98. [Google Scholar]
  63. European Commission. Guide to Cost-Benefit Analysis of Investment Projects. Economic Appraisal Tool for Cohesion Policy 2014–2020. Directorate-General for Regional for Regional and Urban Policy, Brussels. Belgium 2015. Available online: https://op.europa.eu/es/publication-detail/-/publication/120c6fcc-3841-4596-9256-4fd709c49ae4 (accessed on 15 February 2022).
  64. Florio, M.; Moretta, V.; Willak, W. Cost benefit analysis and European Union Cohesion policy: Economic versus financial returns in investment project appraisal. J. Benefit-Cost Anal. 2018, 9, 147–180. [Google Scholar] [CrossRef]
  65. Wang, Z.; Deng, X. The energy policy outlets for community acceptance of ecological investment in China. Energy Policy 2017, 107, 669–677. [Google Scholar] [CrossRef]
  66. OECD. Cost-Benefit Analysis and the Environment; OECD Publishing: Paris, France, 2018. [Google Scholar] [CrossRef]
  67. Romero, C.; Arancibia-Avila, P.; Améstica-Rivas, L.; Toledo-Montiel, F.; Flores-Morales, G. Economic valuation of the eco-systemic benefits derived from the environmental asset lake Laguna Santa Elena, through the multicriteria analysis. Braz. J. Biol. 2020, 80, 557–561. [Google Scholar] [CrossRef]
  68. Mitchel, R.C.; Carson, R.T. Using Surveys to Value Public Goods: The Contingent Valuation Method; Resources for the Future Press: Washington, DC, USA, 1989. [Google Scholar]
  69. Araca, J.; Estruch-Guitart, V.; Aznar, J.; Yufra, S. Economic valuation of the goods and services offered by the High Relict High-Andean Ecosystem located int the districts of Chiguata, Characto and Pocsi, Arequipa, Peru. Pol. J. Environ. Stud. 2021, 30, 5443–5452. [Google Scholar] [CrossRef]
  70. Jorge-García, D.; Estruch-Guitart, V. Economic valuation of ecosystem services by using the Analytic Hierarchy Process and the Analytic Network Process. Comparative analysis between both methods in the Albufera Natural Park of València (Spain). Int. J. Des. Nat. Ecodynamics 2019, 15, 1–4. [Google Scholar] [CrossRef]
  71. Ahmad, N.B.; Othman, M.R.; Saadon, M.S.I.; Nor, D.A.M. Sustainable development goal of recreation port: The case study of the Duyong Marina & Resort, Rerengganu, Malasya. J. Crit. Rev. 2020, 7, 1449–1454. [Google Scholar] [CrossRef]
  72. Akrivopoulos, O.; Amaxilatis, D.; Tsironis, N.; Karadimas, D.; Konstantopoulos, N.; Panaretou, I. Modernizing marinas in the Mediterranean Sea using SMartY: Methodologies and lessons learned. In Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 21–25 March 2022; pp. 472–477. [Google Scholar] [CrossRef]
  73. Kazançoğlu, İ.; Karaosmanoğlu, C. Can sustainability marketing be implemented as a differentiation strategy? In Supply Chain Sustainability: Modeling and Innovative Research Frameworks; Mangla, S.S., Ram, M., Eds.; De Gruyter: Berlin, Germany; Boston, MA, USA, 2020; pp. 133–156. [Google Scholar] [CrossRef]
  74. Bezáková, M.; Bezák, P. Which sustainability objectives are difficult to achieve) The mid-term evaluation of predicted scenarios in remote mountain agricultural landscapes in Slovakia. Land Use Policy 2022, 115, 106020. [Google Scholar] [CrossRef]
  75. Vantola, R.; Luoma, E.; Parviainen, T.; Lehikoinen, A. Sustainability manifesting as a multi-material and -sited network effect: How boast-sourced sewage management facilities serve as governance artefacts advancing sustainability in nautical tourism. Mar. Pollut. Bull. 2021, 173 Pt B, 113114. [Google Scholar] [CrossRef]
  76. Sierra, L.A.; Pellicer, E.; Yepes, V. Method for estimating the social sustainability of infrastructure projects. Environ. Impact Assess. Rev. 2017, 65, 41–53. [Google Scholar] [CrossRef]
  77. Sierra, L.A.; Yepes, V.; Pellicer, E. Assessing the social sustainability contribution of an infrastructure project under conditions of uncertainty. Environ. Impact Assess. Rev. 2017, 67, 61–72. [Google Scholar] [CrossRef]
  78. Navarro, I.J.; Yespes, V.; Martí, J.V. A review of multicriteria assessment techniques applied to sustainable infrastructure design. Adv. Civ. Eng. 2019, 2019, 6134803. [Google Scholar] [CrossRef]
  79. Valdepeñas, P.; Esteban, M.D.; Henche, C.; Rodríguez-Escribano, R.; Fernández, G.; López-Gutiérrez, J.S. Application of the BIM method in the management of the maintenance in port infrastructures. J. Mar. Sci. Eng. 2020, 8, 981. [Google Scholar] [CrossRef]
  80. Chidakel, A.; Child, B. Convergence and divergence in the economic performance of wildlife tourism within multi-reserve landscape. Land Use Policy 2022, 120, 106252. [Google Scholar] [CrossRef]
  81. Occhiuto, R. What the ground says. Sustainability 2021, 13, 13420. [Google Scholar] [CrossRef]
  82. Brown, G. Mapping spatial attributes in survey research for natural resource management: Methods and applications. Soc. Nat. Resour. 2004, 18, 17–39. [Google Scholar] [CrossRef]
  83. Dasgupta, R.; Hshimoto, S.; Basu, M.; Okuro, T.; Johnson, B.A.; Kumar, P.; Dhyani, S. Spatial characterization of non-material values across multiple coastal production landscapes in the Indian Sundarban delta. Sustain. Sci. 2022, 17, 725–738. [Google Scholar] [CrossRef]
  84. Pramova, E.; Locatelli, B.; Valdivia-Días, M.; Vallet, A.; Quispe-Conde, Y.; Djoudi, H.; Collof, M.J.; Bousquet, F.; Tassin, J.; Munera-Roldan, C. Sensing, feeling, thinking: Relating to nature with the body, heart and mind. People Nat. 2021, 4, 351–364. [Google Scholar] [CrossRef]
  85. United Nations. Transforming Our World: The 2030 Agenda for Sustainable Development. Resolution Adopted by the General Assembly on 25 September 2015, A/RES/70/1. 2015. Available online: https://www.un.org/ga/search/view_doc.asp?symbol=A/RES/70/1&Lang=E (accessed on 4 July 2022).
  86. European Commission. A New Approach for a Sustainable Economy in the EU–Transforming the EU’s Blue Economy for a Sustainable Future. COM (2021) 240 Final. 2021. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM:2021:240:FIN (accessed on 4 July 2022).
  87. Hjalager, A.M.; Staunstrup, J.K.; Sørensen, M.T.; Steffansen, R.N. The densification of second home areas–sustainable practice or speculative land use? Land Use Policy 2022, 118, 106143. [Google Scholar] [CrossRef]
  88. Alieva, D.; Holgado, D.; de Juan, S.; Ruíz-Frau, A.; Villasante, S.; Maya-Jariego, I. Assesing landscape features and ecosystem services of marine protected areas through photographs on social media: Comparison of two archipelagos in Spain. Environ. Develop. Sustain. 2022, 24, 9623–9641. [Google Scholar] [CrossRef]
  89. Heshmati, M.; Gheitury, M.; Shadfar, S. Factors affecting possibility of ecotourism development and sustaining natural resources using SWOT approach in West Iran. Int. J. Geoherit. Parks 2022, 10, 173–183. [Google Scholar] [CrossRef]
  90. Yepes, V.; Medina, J.R. Land use tourism model in Spanish coastal areas. A case study of the Valencia Region. J. Coast. Res. 2005, 49, 83–88. [Google Scholar]
  91. Yüzbaşioğlu, N.; Dogan, O. Strategic governance in the marina sector in the context of marine tourism cluster. Almatourism-J. Tour. Cult. Territ. Develop. 2021, 12, 59–82. [Google Scholar] [CrossRef]
  92. Hacia, E.; Lapko, A. Staff training for the purposes of marina management. Res. Pap. Wroc. Univ. Econ. Bus. 2019, 63, 10. [Google Scholar] [CrossRef]
  93. Council of Europe. Recommendation CM/Rec (2008)3 of the Committee of Ministers to Member States on the Guidelines of the Implementation of the European Landscape Convention. 2008. Available online: https://rm.coe.int/16802f80c9 (accessed on 15 May 2016).
  94. Eiter, S.; Vik, M.L. Public participation in landscape planning: Effective methods for implementing the European Landscape Convention in Norway. Land Use Policy 2015, 44, 44–53. [Google Scholar] [CrossRef]
Figure 1. Location map.
Figure 1. Location map.
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Figure 2. General view of Marina del Este.
Figure 2. General view of Marina del Este.
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Figure 3. La Herradura tourist promotion advertising poster. Promoted by the Almuñécar Tourist Office, the poster reads “Let’s see more of each other” indicating the activities “shopping-restaurants-accommodation-real estate-sailing-diving-leisure”.
Figure 3. La Herradura tourist promotion advertising poster. Promoted by the Almuñécar Tourist Office, the poster reads “Let’s see more of each other” indicating the activities “shopping-restaurants-accommodation-real estate-sailing-diving-leisure”.
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Figure 4. View of the marina basin.
Figure 4. View of the marina basin.
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Table 1. Groups and participants considered.
Table 1. Groups and participants considered.
GroupsDescriptionNumber
ManagementTechnical manager1
Maintenance manager1
Customer services manager1
TechnicalTechnical of the provincial delegation for the environment3
Technician of Andalusian Public Port Agency2
Technician of Diputación de Granada1
CommercialOwner of clothes businesses1
Owners of real estate businesses2
NauticalNautical excursion business owner1
Diving school owners2
EnvironmentalistProfessors of the University of Granada2
Total 16
Table 2. Partial and total values obtained from AMUVAN analysis.
Table 2. Partial and total values obtained from AMUVAN analysis.
TEV ComponentsAggregated WeightsValue (€)
Direct Use Value0.21903,569,160.00
Indirect Use Value0.20383,321,398.75
Option Value0.14992,426,196.20
Existence Value0.20663,368,272.93
Bequest Value0.22183,614,956.65
Global1.00016,299,984.53
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Martín, R.; Yepes, V. Economic Valuation of Landscape in Marinas: Application to a Marina in Spanish Southern Mediterranean Coast (Granada, Spain). Land 2022, 11, 1400. https://doi.org/10.3390/land11091400

AMA Style

Martín R, Yepes V. Economic Valuation of Landscape in Marinas: Application to a Marina in Spanish Southern Mediterranean Coast (Granada, Spain). Land. 2022; 11(9):1400. https://doi.org/10.3390/land11091400

Chicago/Turabian Style

Martín, Ricardo, and Víctor Yepes. 2022. "Economic Valuation of Landscape in Marinas: Application to a Marina in Spanish Southern Mediterranean Coast (Granada, Spain)" Land 11, no. 9: 1400. https://doi.org/10.3390/land11091400

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