Cultural heritage

About: Cultural heritage is a research topic. Over the lifetime, 28201 publications have been published within this topic receiving 273875 citations. The topic is also known as: cultural assets & cultural goods.

Cultural heritage as multi-dimensional, multi-value and multi-attribute economic good: toward a new framework for economic analysis and valuation

Abstract: The purpose of the paper is to review critical issues concerning the economic dimensions of cultural heritage, in order to show that—tangible and intangible—“cultural economic” goods and services, as provided by cultural institutions, may be analysed and valued in a multi-dimensional, multi-attribute and multi-value socio-economic environment . On this multi-dimensional and multi-attribute setting, a conceptual framework for analysing cultural services and cultural capital is established. The paper is speculative in nature, suggesting new prospective for evaluation and empirical inquiry. The work is divided in three parts. The first part begins by surveying the literature on merit goods, re-examining how different paradigms, neo-classic and more unconventional, have dealt with the issue, and assessing why, and to what extent, merit good is a proper economic notion. The second part focuses on the role merit good theory should play in cultural economics, and specifically how it is possible to integrate the merit good and the mixed good theoretical and conceptual framework. Cultural resources are to be defined ideally as joint merit-mixed good, on a multi-dimensional scenario. Cultural capital offers and “produces” services and functions, providing private, public and merit good elements of benefit (value). The multi-dimensional framework also entails a multi-paradigmatic perspective, bringing together neo-classic and non-neo-classic elements. The last section summarises and concludes that such an established conceptual framework indicates and supports new routes for economic valuation and policy making concerning the cultural field and cultural institutions. Disaggregating cultural activities into many services and functions allows the analysis to focus on single components of “benefit” supplied by cultural institutions and demanded by users. Valuing culture as a non-holistic resource might help economic analysis and decision-making processes. The main emerging results are: (i) the notion of merit good is relevant for cultural economics and cultural policy, and it represents a relevant ideal “metaphor” and an important dimension of value associated to “cultural functions”; (ii) the inclusion of merit good theory gives the possibility to define cultural stock and services as a compelling case of multi-dimensional categorisation of private, public, mixed and collective services, where different theoretical perspectives are integrated with each other as far as possible; (iii) being intrinsically placed in a dynamic and uncertain setting, merit good theory demonstrates to be, in theoretical and policy term, the necessary a priori for the theory and policy of mixed good provision, both at macro and microeconomic level. Policies motivated by the merit good issue should aim at providing the necessary collective tangible and intangible investments on which long run effects of cultural policies rely; (iv) special effort should be devoted to the study of “demands” associated to cultural goods, emphasising the role of valuation analysis, supported by the conceptual framework here developed. The work intends to constitute a point of reference for future research, generating some controversy and stimulating further contributions.

Differences between Chinese and Australian students: some implications for distance educators.

Abstract: First year undergraduate Business and Computing Chinese students studying on‐campus in Australia and from Confucian cultural heritage societies were compared with first year Australian undergraduat...

Classification of Architectural Heritage Images Using Deep Learning Techniques

Abstract: The classification of the images taken during the measurement of an architectural asset is an essential task within the digital documentation of cultural heritage. A large number of images are usually handled, so their classification is a tedious task (and therefore prone to errors) and habitually consumes a lot of time. The availability of automatic techniques to facilitate these sorting tasks would improve an important part of the digital documentation process. In addition, a correct classification of the available images allows better management and more efficient searches through specific terms, thus helping in the tasks of studying and interpreting the heritage asset in question. The main objective of this article is the application of techniques based on deep learning for the classification of images of architectural heritage, specifically through the use of convolutional neural networks. For this, the utility of training these networks from scratch or only fine tuning pre-trained networks is evaluated. All this has been applied to classifying elements of interest in images of buildings with architectural heritage value. As no datasets of this type, suitable for network training, have been located, a new dataset has been created and made available to the public. Promising results have been obtained in terms of accuracy and it is considered that the application of these techniques can contribute significantly to the digital documentation of architectural heritage.