1. Introduction
Cultural heritage refers to tangible and intangible assets that constitute the legacy of physical artworks and intangible attributes of a society that are inherited from past generations, maintained in the present and bestowed for the benefit of future generations [
1]. In economic terms, even if some cultural heritage assets are used for economic exploitation mainly through tourism, the overall approach for evaluating their economic values is different from other goods or services. A major difference is that their market supply is fixed in time. Even when visitors are charged to enter a cultural heritage site, the fact is that the access fees are not related to its true value, not even, at least, to the economic cost for providing access to or for maintaining the site. This means that non-market valuation methods should be used to determine the value that people assign to cultural heritage sites by visiting, using and conserving them [
2]. The need to substantially classify the importance of heritage assets in terms of their historical, aesthetic, educational, artistic and economic contribution has motivated an ever-increasing application of valuation methods. These methods should be able to assess the monetary values for the protection and management of heritage from a societal point of view, which in turn could be used in heritage project appraisal and decision making.
Presently, it is well understood and widely accepted that cultural heritage can play a significant role in economic development. During the 1970s and 1980s in the UNESCO (United Nations Educational, Scientific and Cultural Organization) conventions, starting from UNESCO’s 1972 Convention [
3] concerning the Protection of the World Cultural and Natural Heritage, there was a growing discussion about the links between cultural policy and economic development. In the same period, the World Heritage Convention and Burra Charter, based on the significance of cultural heritage in many countries, recognized the need for assigning resources to the implementation of protection measures for cultural heritage. However, the discussion on the possibility of using economics-based tools in decision making for cultural heritage started during the 1990s [
4]. Even though the economic profitability of heritage is a well-established concept in cultural policy, it only came along in the 1960s–1970s, in the general climate of “new public management” in the United Kingdom and central Europe. The concept has gained new attraction during the last decade of economic recession in Europe. Moreover, in recent studies by the World Bank and the Inter-American Development Bank, the importance of cultural heritage in sustainable development was pointed out and the potential role of cultural heritage in the economic regeneration of historic urban centres was highlighted. Furthermore, there is a strong link between economic growth and the exploitation of cultural heritage sites for tourism, as in many cases, tourism is considered as an important source of revenue that provides significant economic payoffs [
5,
6].
All cultural heritage assets have an economic value [
1], although it is not always easy to be quantified [
1]. This economic value should, however, be considered in the development planning, especially for cultural heritage sites that are inside urban fabric. The inclusion of cultural heritage sites in the decision-making process for development is based on the consideration that their societal value is considered as that of an “unpriced good” characterized by attributes and society links that are not included in the conventional market metrics commonly used in assessing the economic outcome of an investment [
7,
8,
9].
A reliable assessment of the socioeconomic and historic cultural value of monuments, or cultural heritage in general, to be used for operational purposes in preservation and conservation policies, presents many difficulties [
10]. A common approach is to rely on tourism revenues in order to have a partial feedback on the interest of society in monument conservation and/or restoration, but the non-market benefits of such assets are likely to be a significant component of the economic impacts and should not be considered [
6].
A first step in developing the theory of cultural value is to recognize that this is a concept reflecting a number of different dimensions of value [
3]. If so, it might be possible to disaggregate the cultural value of a certain cultural good or service into its constituent elements, and to consider cultural heritage as an aggregate of services, that is, having no other value, for example, scientific, inspirational, recreational, educational and so on. Then, a cultural heritage site can be treated as an asset and can be assigned with a certain value. The net effect of additions to and subtractions from the capital stock within a given time period indicates the net investment/appreciation in the cultural capital during this period. This cultural capital can be measurable in both economic and cultural terms, and determines the opening value of the stock at the beginning of the next period. However, measures of its economic value may be not capable of representing the full range and complexity of the cultural worth of an asset.
Cultural heritage investment projects typically refer to a range of activities, such as conservation, upgrading visitors’ access or adaptive reuse of the heritage items involved. The economic valuation of the relevant capital expenditures can use standard investment assessment techniques. The fact that the assets involved are items of cultural capital indicates that, in addition to its economic payoff, cultural benefits like increased knowledge of the history of a place and sharing cultural heritage have to be also assessed [
11].
Climate change, on the other hand, has a proven effective impact on a wide range of economic sectors and activities. This could result in changes in profitability in agriculture or forestry, changes in tourism supply and demand patterns, loss of production due to flooding or the costs of rebuilding infrastructure after extreme weather events. These examples indicate that the economic sensitivity of a region will be largely dependent on its physical, environmental, social and cultural characteristics. Moreover, climate change has direct and significant effects on tourism in general, affecting operators, destinations and visitors [
12]. Thus, understanding the implications of climate change in relation to destination competitiveness and tourist demand patterns has been identified as a research priority in this field [
13].
A region’s attractiveness, and most of the types of tourist activities it can host, depend heavily on the local weather and climate [
14]. Climate change, by improving what was previously a less favourable climate or vice versa, can alter destinations to be more/less attractive for visitors. Moreover, the impact of climate change on tourism may also be indirect. Destinations of cultural heritage may become less attractive as a result of climate induced impacts on the natural and the built environment, which is a complementary asset for the tourism infrastructure [
15,
16,
17].
Notably, the net losses or gains induced by the changes in climatic conditions will depend on the change in the tourists’ evaluation of climate-related amenities, which determine their choice of destination, length of stay and visiting period.
The multifaceted interface between climate change and the tourism system is illustrated in
Figure 1, which sets out the four broad pathways (arrows 1–4) by which climate change can affect the future prospects of tourism [
13]. The first pathway includes the direct climatic impacts that affect the length and quality of climate-dependent tourism seasons. In the second pathway, the indirect climate-induced environmental change, affecting the natural assets, influences the destination image. In the third pathway, the indirect climate induces socioeconomic change such as decreased economic growth and discretionary wealth, increased political instability and security risks or changing attitudes toward travel. Finally, the fourth pathway includes the policy responses of other sectors, such as mitigation policy, which could alter transport cost structures and destination or modal choices, as well as adaptation policies related to water rights or insurance costs; this has important implications for tourism development and operating costs [
13].
In recent years, growing and diverse research has explicitly focused on the relation between tourism and climate change. Several studies focus on particular tourism destinations and investigate how the regional tourism sector is exposed to and is or can be modified by climate change.
Other studies build statistical models of behaviour by focusing on the tourism demand of certain types or groups of tourists as a function of weather and climate [
19], which can be thought of as sensitivity analyses [
18]. Changes in tourism demand have also been addressed in simulation models, where the projected changes in tourism flows are evaluated on the basis of how climate change affects the attractiveness of a place relative to its competitors [
20]. A climate change vulnerability framework has also been developed for the tourism sector [
18], for example, beach tourism. For example, sunbathing and swimming are more linked under specific weather conditions and environmental changes than other tourism activities, for example, sightseeing, with this link being the source of vulnerability [
21,
22]. A key finding in the literature is that tourism is very sensitive to climate change, both in tourism source and destination regions. It is also sensitive to climate seasonality, and according to Viner [
23], it is “the seasonal contrasts that drive the demand for summer vacations in Europe” [
23]. For the Mediterranean region’s climate, changes may result in seasonal changes and extended tourism seasons. Tourism may decrease during summer because of the increased temperature during this period of the year, whereas tourism in spring and autumn may increase. In central Europe, climate change will affect traditional winter tourism regions. During winter, significant reductions in natural snow cover are expected to shorten the season, and thereby significantly impact on the ski industry. Nevertheless, the effect of extreme weather phenomena is yet to be evaluated.
Cultural goods usually embody a sense of a symbolic meaning for society and a reference to an important era, a style or a celebrated event in the past. Cultural heritage assets can be considered as living parts of past human activities, carrying a great historic value and a high degree of local specificity. As cultural heritage assets are present for long periods, their reference to society is, at least partially, the result of shared values held among locals or, sometimes, a broader community [
24]. Thus, it can be assumed that cultural heritage assets can provide goods that are emerging out of common values of society [
1]. In this context, Nijkamp [
1] argues that the economic evaluation of cultural heritage assets finds their roots in the evaluation of non-priced goods, and are related to the evaluation of environmental goods. In this concept, the value of a visit to a cultural heritage site is not only the value that is attached to recreation, but there is also a value coming from education. Thus, estimations of fully separate values for each of the above benefits may be impossible. However, a partial separation of these values aiming to identify some of the broader benefits in categories (e.g., use and non-use) may still be possible. Furthermore, values can be defined in terms of primary and secondary benefits. Primary benefits are the direct benefits from a cultural heritage asset to the profits of the management authorities, whereas secondary benefits refer to wider socioeconomic impacts that may be distant from the actual cultural heritage asset, such as a museum’s impact on employment creation, tourism and gross domestic product (GDP).
The above discussion provides a context for assessing the economic value of cultural heritage assets, but the evaluation task itself is still filled with many uncertainties and dilemmas. To this end, the economic literature offers a wide array of approaches. These may range from methods that use behavioural-oriented approaches, to stated preference methods, such as contingent valuation analysis or conjoint analysis. Other more quantitative approaches include multi-attribute utility methods; market-based methods, such as travel cost, and hedonic price models. All of these approaches have pros and cons, depending on the conditions under which they are applied [
25]. The fact that cultural heritage assets also have a cultural value, differentiates them from other kinds of assets. In the practical world of heritage decision making, assigning an appropriate value, economic, cultural, or a mix of the two, to heritage assets and to the relevant services is an all-pervading challenge.
As in the case of evaluating natural environments, for the identification of the economic value of heritage assets, it is customary to distinguish between use and non-use values, that is, between the direct value to consumers of the heritage services as a private good, and the value accruing to those who experience the benefits of the heritage as a public good. Sometimes these effects are referred to as market and non-market values, respectively [
24].
A distinction is drawn, for example, between the active use of a heritage building or site and the passive use that arises as an incidental experience for individuals, such as when pedestrians enjoy the aesthetic qualifications of a monument when they happen to pass by [
24]. The latter benefit is classified as a positive externality. Although in practice, a monetary value could be assigned to it, it is usually neglected in any calculation of the economic value of cultural heritage, as a result of difficulties in defining populations of beneficiaries and their respective willingness to pay, in order to enjoy and/or protect cultural heritage assets in valid terms.
Turning to the non-use value, it can be observed that cultural heritage assets yield public good benefits that can be classified in the same ways in which the non-market benefits of environmental amenities, such as forests and so on. These non-use values are not observable in market transactions, as no market exists where they can be exchanged, even though there is the argument that the social economy sector is an aspect.
The economic impact studies can be used for the valuation of cultural heritage assets, especially those attracting large numbers of tourists who spend money in the relevant area [
26]. These impact studies try to monetize the direct and indirect effects of a cultural heritage asset on its impact area. These studies focus mainly on the distinct good character of these assets, which is usually captured by market transactions instead of by merit or public good characteristics [
27].
To measure the direct net impact of cultural heritage assets on user groups, it is important to identify the main spending groups in the region affected by the relevant assets. Next, the indirect net impacts depend on the chain or induced effects of the direct net impacts for the related impact area. Clearly, the amount of leakage in a multiplier sense depends on the size and nature of the impact area [
18]. Baaijens and Nijkamp [
27] offer an empirical meta-analysis approach regarding the relevant leakages in the tourism regions, and present a rough set analysis approach to estimate the income multipliers for different characteristics of the impact areas [
28], which can be used for estimating the indirect economic value of cultural heritage sites.
The conservation of cultural heritage assets, especially in historic city centres, is likely to give rise to significant non-market benefits. These benefits arise as public goods enjoyed in various ways by businesses, residents and visitors, both in the cultural heritage site and in the wider area.
3. Materials and Methods
In this work, the total economic value framework for cultural heritage was used to identify a primary categorisation of the use and non-use benefits, with the “use” benefits being subdivided into direct and indirect categories [
44,
45]. Direct use benefits cover a wide range and can include residential, commercial, tourism, leisure, educational and religious related benefits. Indirect use benefits could arise in the form of enhanced community image and social interaction.
Following the total economic value framework for cultural heritage, it is considered that each cultural heritage site creates four types of value, namely: direct economic value, indirect economic value, non-market value and cultural value. The method applied here is restricted to the first two types of value because of the difficulties in quantifying the latter two types of value. The aim of this modification is to estimate the economic value of the cultural heritage sites that contribute to revenues by considering that there are no changes in the non-market and the cultural value of the sites.
The estimations of the total economic value for a cultural heritage site, for a certain period of time, is based on the forecast for the expected number of visitors during the relevant period, in the area of the site. More specifically, the total economic value for cultural heritage site Si for year Yt (TEVit) is the sum of the direct economic value of Si for year Yt (DEVit) and the indirect economic value of Si for year Yt (IEVit).
DEVit is the expected revenue of Si during Yt. For year Yt, DEVit is the product of the expected number of visitors in Si multiplied by the expected ticket price of Si.
The net present value of the DEV
it, from year T
start to year T
end, for a certain rate of return (r), is given by the following:
The IEV capitalizes the inter-industry socioeconomic effects created by the expected number of visitors for year Yt in the area where Si is located. This is based on the argument, according to which cultural heritage site Si contributes to a large extent to make an area famous and attractive for tourists. Therefore, this branding effect is capitalized in the indirect value created by visitors in the area of Si.
In this context, IEVit is the expected volume of expenditures of the expected number of visitors in the relevant area during Yt. For year Yt, IEVit is the product of the expected number of visitors in the area of Si multiplied by the average length of stay of the visitors in the area of Si, multiplied by the average daily expenditure per visitor in the area of Si.
The net present value of the IEV
it, from year T
start to year T
end, for a certain rate of return (r), is given by the following:
Based on the above analysis, the net present total economic value of a cultural heritage site S
i, from year
t to year
T, is as follows:
3.1. Available Data
The estimation of the DEV and IEV of the test beds is based on the relevant forecasts regarding the expected number of visitors. These forecasts are based on the arrivals during 2010–2015 to the regions and cities where the monuments are located, as well as on the expected future growth rates of the arrivals to the relevant destinations.
The forecasts regarding the expected number of visitors in Crete is based on the arrivals in Crete during 2010–2015 (
Table 1 and
Figure 3), and on the expected annual growth rate of 1.8% for foreign arrivals to Southern and Mediterranean Europe destinations provided by the European Commission [
22].
The foreign and domestic overnights (
Figure 3) are used to estimate the foreign and domestic average length of stay, which will be used for the estimation of the IEV of the Knossos Palace and the fortress of Rocca al Mare (Koules).
Detailed data concerning arrivals and overnights per regional unit of Crete are presented in
Table 1. It should be noted that regarding the arrivals in Crete, besides hotels, there are arrivals in different types of accommodation, such as rent rooms. Yet, the relevant available data are not certified by the Hellenic Statistical Authority or any other official data provider and their use may drive to overestimated results.
Regarding the average length of stay, based on the data of arrivals and overstays (
Table 2), it is estimated that the average length of stay of foreign visitors in Crete during 2010–2015 was 7.09 days. The average length of stay for domestic visitors was 3.04 days.
Regarding the Knossos Palace, the number of visitors by month during 2001–2016 is given in
Figure 4. Prices for the different ticket types, the number of visitors by ticket type and month during 2001–2015, as well as the respective revenues by month during 2001–2016, are available from the Archaeological Receipts Fund.
Regarding Rocca al Mare, the number of visitors by month during 2001–2016 is given in
Figure 5. It should be noted that the fortress of Rocca al Mare was closed from April 2011 to 17 August 2016 for conservation and renovation.
For the estimation of the IEV of the Knossos Palace and the fortress of Rocca al Mare, the relevant data for the average daily expenditure of tourists in Crete were not available. For this reason, the relevant expenditure will be approximated by the average daily expenditure in Greece [
32].
The estimation of the total economic value of Gubbio is based on the forecast regarding the expected number of visitors in Gubbio. This forecast is based on the arrivals, overnights and average length of stay in Gubbio during 2012–2016 (
Table 3 and
Figure 6). This data set is available from the Region of Umbria—Directorate for Tourism.
It should be noted that for the case of Gubbio, there is no data about admissions, tickets and revenues in cultural heritage sites, because, in the present study, the whole town was considered a cultural heritage site. Hence, there will be no discrimination between the direct and indirect economic value upon the total economic value.
There are no direct data for the average expenditure per tourist in Gubbio, which, for this reason, will be approximated by the average expenditure per tourist in the Umbria Region. This data is available from the Banca d’ Italia Frontier Survey, and according to it, the total number of visitors in the Umbria region in 2014 was 215,102, with the total tourism expenditure being 270 million euros. The respective data for 2015 were 217,185 tourists and 232 million euros. Based on the above, the average expenditure per visitor during 2015–2016 is 1068 €.
6. Discussion
An economic analysis within a risk assessment model related to climatic change and natural hazards is likely to valuate scenarios with and without alternative interventions. Risk managers can compare the baseline risk from climate change impacts with the changes in risk because of different interventions to mitigate risks. Once the protection and preservation benefits have been estimated, changes in the costs in the industry and government sector, in both the short and long term, can be estimated for each intervention under consideration.
The linkage between risk assessment and economic analysis, as a mean/criterion of supporting decision-making in cultural heritage management, is a very novel approach still under development. The methods of economic analysis that could be used for evaluating the costs and benefits of cultural heritage are based on the economic value, which can be determined for most products and services by examining their attributes and prices in the marketplace. However, in cultural heritage management, a market price for restoration and maintenance actions does not yet exist.
The evaluation of the benefits under different risk management interventions for reducing climatic change impact, in the context of risk assessment, can be based on the direct and indirect value of the sites. These values present the socioeconomic values of the sites and are used as the exposure value in the risk assessment.
The risk analysis model will incorporate the climate change hazards and the value that cultural heritage embodies. In general, the risk affecting cultural heritage is the product of the vulnerability of cultural heritage climatic change impacts multiplied by the value of cultural heritage.
To establish a basis for comparing diverse risks and for ranking policy alternatives, analysts must translate diverse outcomes into a common unit of analysis.
The outcome of a quantitative risk assessment will generally provide an estimate of the baseline climate change risks. Usually, quantitative risk assessments give complete probability distributions rather than just specific estimates of risk. The nature of each policy decision needs to be clearly understood in order to allow for the identification of those who benefit and those who are disadvantaged by that policy. In particular, it is important to ensure that the benefits and disadvantages are accrued fairly, for example, that one group does not benefit at the expense of another being exposed to increased risk. The anticipated economic costs of the cultural heritage interventions (e.g., requiring changes in the behaviour of site management, government and possibly visitors) can then be compared with the economic evaluation of the improvements in cultural heritage management outcomes.
7. Conclusions
The analysis of the socioeconomic value of cultural heritage sites stated that they provide a range of both market and non-market benefits to society, where some of them are related to use values and others to non-use values. In the case of conservation, non-market benefits often play a significant role, which requires the assessment of socioeconomic risk.
The analysis for the cultural heritage sites revealed that the direct socioeconomic value of each site under study depends crucially on the forecast regarding tourism arrivals, as well as on the pricing strategy of the site. Moreover, the indirect socioeconomic value of each site depends on the average length of stay and daily expenditures. This provides opportunities for policy interventions for the conservation of the cultural heritage sites and for the promotion of their non-market cultural value. In order to do this, protection measures need to ensure the integrity of cultural heritage with respect to the impact of climate change.
The fact that different types of protection and conservation measures can, in a best-case scenario, lead to market and non-market benefits, does not lead automatically to their implementation. Instead, these values should be compared to the opportunity costs of conservation, less tight restrictions and so on. Addressing this question requires that decision-makers understand and assess the inevitable trade-offs between competing goals. The most common trade-offs are between values associated with conservation and development. The choices made by decision makers and land managers can largely affect both the type and magnitude of the value generated. Trade-offs are also present when addressing the welfare impacts at different levels of the economy. Benefits may accrue to one group, but with a cost for another group. The suggested framework for addressing the trade-offs associated with alternative land use decisions is a cost–benefit analysis.
From the Umbria 2016 earthquake case, it can be seen that disasters reduce the number of tourists in an area, even if it is not seriously affected by the event. A reduction in tourism demand is likely to occur, as people may have concerns about their general safety. Another very important aspect, which is very difficult to evaluate in depth, is the enormous number of cultural heritage sites/monuments/artefacts/assets that are destroyed because of the effects of natural hazards and climate change extreme effects.
This destruction has serious repercussions on the local communities in terms of the economy, but also in terms of cultural identity, not considering the worldwide effect of the destruction of important cultural heritage assets. All of these considerations evidence once more the importance to act according to a preventive maintenance/conservation plan, as well to implement all of the safety measures in order to reduce the potential damages due to natural and climate change events.