4,206 research outputs found

    Assessment of coordinated development of digital technology and cultural industries in sustainable environment: evidence from provincial level data in mainland China

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    This article proposes an analytical framework for evaluating digital technology and cultural industries in a sustainable environment, employing the entropy weight method and the coordinated development model to measure the level of coordinated development of digital technology and cultural industries in each province in the Chinese mainland. The results show that most provinces in mainland China are in the early stage of coordinated development, but some problems have occurred. First, there is still a big gap between the technological innovation of digital technology and the value creation of cultural industries in each province. Second, although most provinces can adopt effective coordinated development plans based on their conditions, certain provinces are still constrained by economic considerations and are in an uncoordinated development stage. Future research will be optimised and improved by concentrating on summarising a more accurate analytical framework and analysis model or locating more pertinent data resources to define and represent each indicator

    Simulating the Impact on the Local Economy of Alternative Management Scenarios for Natural Areas

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    This working paper estimates the impact on the local economy of the High Garda Natural Park of alternative management scenarios for the West Garda Regional Forest. The local economy is specialized in tourist services and strongly linked to the tourist presence and their level of expenditure. We wish to investigate the effects of the participative management strategy, which takes into account users preferences and the non-participative strategy, using the SAM multiplier analysis. The local SAM has been constructed considering three sectors: agriculture, tourism and a third aggregate sector including all the other activities. The resident population has been divided into two categories: residents employed in the tourist sector and the remaining resident population. The SAM analysis shows that the accounting representation of the local economy is meaningful and that the participative program, if chosen by the central regional management, would be the most desirable program also at the local level.Tourism, SAM, Multiplier analysis

    Determinants of tourism destination competitiveness in the countries most visited by international tourists: Proposal of a synthetic index

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    Tourism destination competitiveness is a multidimensional concept that is widely studied in the academic literature, but multiple factors make its measurement a difficult task. In this article, we design a synthetic index to rank the 80 countries that attract the majority of international tourists by level of tourism competitiveness. In order to do this, we use all of the simple variables included in the 2017 Travel & Tourism Competitiveness Index, proposing a new methodology for the construction of this synthetic index, which it solves the problems of aggregation of variables expressed in different measures, arbitrary weighting and duplicity of information; issues that remain unresolved by the TTCI. Likewise, we analyse the most influential dimensions in tourism competitiveness. Air transport infrastructures, cultural resources and ICT readiness are the key dimensions that explain the main disparities.Funding Agency Spanish Ministry of Economy, Industry and Competitiveness State Research Agency (SRA) European Union (EU) ECO2017-86822-Rinfo:eu-repo/semantics/publishedVersio

    Competitividade de Destinos Turísticos: um Modelo de Aplicação para o sul de Portugal versus as regiões Mediterrânicas de Espanha: COMPETITIVTOUR

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    Tourism destination competitiveness analysis benefits from a growing number of theoretical and applied developments. To support competitiveness strategies and despite the paraphernalia of competitiveness indexes available, there is not just a single set of indicators that can be used for all destinations at all times. The COMPETITIVTOUR model, developed since 2009 is applied to the south of Portugal versus the Mediterranean regions of Spain, a geographical area that aggregates 14 provinces, 20.2 million inhabitants and 180.1 million overnight stays. COMPETITIVTOUR's objective is to create and apply a territorial assessment model, adapted to the common specificities of these regions, aiming to assist in guiding the complex task of destination competiveness management, with inputs from 25 official producers of information from Portugal and Spain. The outputs are aggregated in three main topics: territory management, markets, and resources&products. Critical areas were identified, with emphasis on the growing seasonality of demand, the market demand and supply adjustment and accommodation prices.info:eu-repo/semantics/publishedVersio

    Revive, Restore, Revitalize: An Eco-economic Methodology for Maasai Mara

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    The Maasai Mara in Kenya, renowned for its biodiversity, is witnessing ecosystem degradation and species endangerment due to intensified human activities. Addressing this, we introduce a dynamic system harmonizing ecological and human priorities. Our agent-based model replicates the Maasai Mara savanna ecosystem, incorporating 71 animal species, 10 human classifications, and 2 natural resource types. The model employs the metabolic rate-mass relationship for animal energy dynamics, logistic curves for animal growth, individual interactions for food web simulation, and human intervention impacts. Algorithms like fitness proportional selection and particle swarm mimic organism preferences for resources. To guide preservation activities, we formulated 21 management strategies encompassing tourism, transportation, taxation, environmental conservation, research, diplomacy, and poaching, employing a game-theoretic framework. Using the TOPSIS method, we prioritized four key developmental indicators: environmental health, research advancement, economic growth, and security. The interplay of 16 factors determines these indicators, each influenced by our policies to varying degrees. By evaluating the policies' repercussions, we aim to mitigate adverse animal-human interactions and equitably address human concerns. We classified the policy impacts into three categories: Environmental Preservation, Economic Prosperity, and Holistic Development. By applying these policy groupings to our ecosystem model, we tracked the effects on the intricate animal-human-resource dynamics. Utilizing the entropy weight method, we assessed the efficacy of these policy clusters over a decade, identifying the optimal blend emphasizing both environmental conservation and economic progression.Comment: 25 pages, 16 figure

    Sustainability in China: Bridging Global Knowledge with Local Action

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    China’s road to sustainability has attracted global attention. Since the “Reform & Opening Up” policy, China’s rapid pace of both urbanization and industrialization has made its being the second largest economy but meantime a heavy environmental price has been paid over the past few decades for addressing the economic developmental target. Today, as the biggest developing country, China needs to take more responsibilities for constructing its local ecological-civilization society as well as for addressing the global challenges such as climate change, resources scary and human beings well-fare; therefore, we need to have deeper understandings into China’s way to sustainability at very different levels, both spatially and structurally, concerns ranging from generating sustainable household livelihoods to global climate change, from developing technological applications to generate institutional changes. In this spirit, this publication, “Sustainability in China: Bridging Global Knowledge with Local Action” aims to investigate the intended and spontaneous issues concerning China’s road to sustainability in a combined top-down and bottom-up manner, linking international knowledge to local-based studies

    Methodological proposal for social impact assessment and environmental conflict analysis

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    Tesis por compendio[EN] Social impact assessment (SIA) is a part of environmental impact assessment (EIA), which is characterized by a high level of uncertainty and the subjective aspects that are presents in the methods used during its conduction. In addition, environmental conflict analysis (ECA) has become a key factor for the viability of projects and welfare of affected populations. In this thesis, an integrated method for SIA and ECA is proposed, by the combination of the grey clustering method and the entropy-weight method. SIA was performed using the grey clustering method, which enables qualitative information coming from a stakeholder group to be quantified. In turn, ECA was performed using the entropy-weight method, which identifies the criteria in which there is greater divergence between stakeholder groups, thus enabling to establish measures to prevent potential environmental conflicts. Then, in order to apply and test the proposed integrated method, two case studies were conducted. The first case study was a mining project in northern Peru. In this study, three stakeholder groups and seven criteria were identified. The results revealed that for the urban population group and the rural population group, the project would have a positive and negative social impact, respectively. For the group of specialists the project would have a normal social impact. It was also noted that the criteria most likely to generate environmental conflicts in order of importance were: access to drinking water, poverty, GDP per capita, and employment. The second case study considered was a hydrocarbon exploration project located in the Gulf of Valencia, Spain. In this study, four stakeholder groups and four criteria were identified. The results revealed that for the group of specialists the project would have a negative social impact, and contrary perceptions were shown between the group of those directly affected by the project and the group of citizens in favour. It was also noted that the criteria most likely to generate environmental conflict were the percentage of unemployment and GDP per capita. The proposed integrated method in this thesis showed great potential on the studied cases, and could be applied to other contexts and other projects, such as water resources management, industrial projects, construction projects, and to measure social impact and prevent conflicts during the implementation of government policies and programs.[ES] La evaluación del impacto social (SIA) forma parte de la evaluación de impacto ambiental (EIA), y está caracterizada por su alto nivel de incertidumbre, y por los aspectos subjetivos presentes en los métodos usados para su realización. Por otro lado, el análisis del conflicto ambiental (ECA) se ha convertido en un factor clave para la viabilidad de los proyectos y el bienestar de la población afectada. En esta tesis, se propone un método integrado para la SIA y el ECA, mediante la combinación de los métodos grey clustering y entropy-weight. La SIA fue desarrollada usando el método grey clustering, el cual permite cuantificar la información cualitativa recogida de los grupos de interés o stakeholders. Sucesivamente, el ECA fue realizado usando el método entropy-weight, el cual identifica los criterios en los cuales existe gran divergencia entre los grupos de interés, permitiendo así establecer medidas para prevenir potenciales conflictos ambientales. Luego, con el fin de aplicar y testear el método integrado propuesto fueron realizados dos casos de estudio. El primer caso de estudio fue un proyecto minero ubicado en el norte de Perú. En este estudio se identificaron tres grupos de interés y siete criterios. Los resultados revelaron que para el grupo población urbana y el grupo población rural, el proyecto tendría un impacto social positivo y negativo, respectivamente. Para el grupo de los especialistas el proyecto tendría un impacto social normal. También fue notado que los criterios más probables de generar conflicto ambiental en orden de importancia fueron: acceso al agua potable, pobreza, PIB per cápita, y empleo. El segundo caso de estudio considerado fue un proyecto de exploración de hidrocarburos ubicado en el Golfo de Valencia, España. En este estudio se identificaron cuatro grupos de interés y cuatro criterios. Los resultados revelaron que para el grupo de los especialistas el proyecto tendría un impacto social negativo, y contrarias percepciones se encontraron entre el grupo de los directamente afectados y el grupo de los ciudadanos a favor. También fue notado que los criterios más probables de generar conflicto ambiental fueron el porcentaje de desempleo y el PIB per cápita. El método integrado propuesto en esta tesis mostró un gran potencial sobre los casos estudiados, y podría ser aplicado a otros contextos y otros tipos de proyectos, tales como gestión de recursos hídricos, proyectos industriales, proyectos de construcción de obras públicas, y para medir el impacto social y prevenir conflictos durante la aplicación de políticas y programas gubernamentales.[CA] L'avaluació de l'impacte social (SIA) és una part de l'avaluació de l'impacte ambiental (EIA), la qual està caracteritzada pel seu alt nivell d'incertitud i els aspectes subjectius presents en els mètodes amprats durant la seua conducció. A més, la anàlisis del conflicte ambiental (ECA) s'ha convertit en un factor clau per a la viabilitat dels projectes i el benestar de la població afectada. En esta tesis es proposa un mètode integrat per a l'avaluació de l'impacte social i la anàlisis del conflicte ambiental, mitjançant la combinació del mètode grey clustering i el mètode entropy-weight. L'avaluació de l'impacte social ha segut realitzada usant el mètode grey clustering, el qual permet que la informació qualitativa arreplegada dels grups d'interès siga quantificada. Successivament, la anàlisis del conflicte ambiental ha segut realitzada usant el mètode entropy-weight, el qual identifica els criteris en els quals existeix gran divergència entre els grups d'interès, la qual cosa permet establir mides per a prevenir conflictes ambientals potencials. Després, amb la finalitat d'aplicar i testejar el mètode integrat proposat han segut realitzats dos casos d'estudi. El primer d'ells ha segut un projecte miner al nord de Perú. En aquest estudi, tres grups d'interès i set criteris foren identificats. Els resultats revelaren que per al grup població-urbana i el grup població-rural, el projecte experimentaria un positiu i un negatiu impacte social respectivament. Per al grup dels especialistes el projecte tindria un impacte social normal. Per altra banda també va ser reconegut que els criteris més probables de generar conflicte ambiental en orde d'importància foren: accés a l'aigua potable, pobresa, PIB per càpita, i ofici. El segon cas d'estudi considerat va ser un projecte d'exploració d'hidrocarburs ubicat al Golf de València, Espanya. En este estudi, quatre grups d'interès i quatre criteris foren identificats. Els resultats revelaren que per al grup dels especialistes el projecte tindria un impacte social negatiu, mentre que entre el grup dels directament afectats i el grup dels ciutadans a favor es mostraren percepcions contraries. Va ser també reconegut que els criteris més probables de generar conflicte ambiental foren el percentatge de desocupació i el PIB per càpita. El mètode integrat proposat en aquesta tesis mostra un gran potencial sobre els casos estudiats, i pot ser aplicat a altres contexts i altres tipus de projectes com gestió de recursos hídrics, projectes industrials i projectes de construcció d'obres públiques. A més pot fer-se servir per mesurar l'impacte social i prevenir conflictes durant l'aplicació de polítiques i programes governamentals.Delgado Villanueva, KA. (2016). Methodological proposal for social impact assessment and environmental conflict analysis [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/64063TESISCompendi

    キョジュウチ オープン スペース ニ タイスル ジュウミン ノ シコウセイ ト コウドウ ノ タヨウセイ ノ ハアク シュホウ

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    The rapid urbanization of Chinese cities has been resulting to the degradation of urban residential environments. As a representative of green areas, residential open spaces play key roles to balance the needs for both conservation and development. To provide insights for satisfactory planning of open space, the translation of intangible recreational value of open space into concrete value is necessary. In order to achieve the goal of public benefits, this study attempts to integrate public preference from residents to reflect the demands of the community that is the main stakeholders, who consume open space service in the form of recreational opportunities and amenities. Study of behavior and evaluation of residents may lead for action to interrelate the local view into planning process. Moreover, the relationship between spatial features and subjective perception was also examined based on the case study of Hangzhou City. Human perception to the surrounding environment is diverse, and consequently the expression of residents deriving from perception can be observed through their behavior mode. As a result, this reaction of stimulus and feedback produces a new concept of interrelationship among subjective evaluation, behavior and human socio-demographic attributes. Herein the concept was concluded as lifestyle concerning residential open space. With consideration of its complexity, it is significant to classify the typical variations of residents’ lifestyle in residential open space. The study concentrated on the satisfaction indices and the preference ranking that influence the behavior of residents. The new quantification framework was developed through the interaction of behavior approaches together with subjective evaluation approaches by proposing a method to explore the interaction between residents’ opinion and behavioral dynamics. As to behavior approaches, this study established an unconventional determinant factor to enable the examination of temporal regulation, spatial distribution and activit

    An integrated SWOT–extended PIPRECIA model for identifying key determinants of tourism development: The case of Serbia

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    This paper proposes a new integrated model based on SWOT and extended PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) that offers a systematic approach to strategic planning in tourism. The applicability of the proposed integrated model is demonstrated through a case study defining the main determinants of tourism development in Serbia. The result emphasizes the strategy Improving the organization, management, and enhancement of tourism development as the highest priority for implementation. The model facilitates decision-making in tourism, and its key advantages are its suitability for application in group decision-making and its simplicity
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