scholarly journals AN INPUT OUTPUT MODEL TO QUANTIFY THE BENEFITS OF TOURIST AIRPORTS ON REGIONAL ECONOMY

2011 ◽  
Vol 2 (2) ◽  
pp. 92-105 ◽  
Author(s):  
Dimitrios Dimitriou ◽  
Mary Sartzetaki ◽  
Asimina Voskaki ◽  
George Athanasiadis
Keyword(s):  
Social Impact ◽  
Regional Economy ◽  
Regional Economies ◽  
Input Output ◽  
Economic Returns ◽  
Modeling Framework ◽  
Business Interests ◽  
Tourist Destinations ◽  
Service Accessibility ◽  
Economic Assets

Airports are widely recognized as having a considerable economic and social impact on their surrounding regions. These impacts go far beyond the direct impact of an airport’s operation, extending also to the wider benefits that air service accessibility brings to regional business interests. Airports provide essential infrastructure to support regional social and economic growth. According to ACI, airports are major economic assets offering significant economic returns and benefits. A growing literature on this subject highlights the difficulties to calculate the effects of airports. This paper deals with the estimation of benefits of touristairports on regional economy. The methodology approach is based on an input-output model that - estimates the key categories of effects from tourist airport operations. Conventional wisdom is to present a well-organized modeling framework, appropriate for planners, mana gers and decision makers in order to quantify the effects of tourism airports on regional economies. The application is a new airport on the island of Crete in Greece, one of the most attractive tourist destinations in southeast Mediterranean.

The Effect of Aggregation on the Empirical Identification of Key Sectors in a Regional Economy: A Partial Evaluation of Alternative Techniques

1974 ◽  
Vol 6 (4) ◽  
pp. 439-453 ◽  
Author(s):  
G J D Hewings
Keyword(s):  
Regional Economy ◽  
Partial Evaluation ◽  
Washington State ◽  
Regional Level ◽  
Regional Economies ◽  
Careful Attention ◽  
Input Output ◽  
Key Sectors ◽  
Alternative Techniques ◽  
Open Nature

The open nature of regional economies requires that careful attention be paid to the magnitude of intraregional interindustry relationships when decisions about the allocation of investment are made. A number of methods have been proposed for the purposes of identifying key sectors in a national economy using input–output models. This research reports on attempts to identify key sectors at the regional level using the 1963 and 1967 Washington State input–output models at various levels of aggregation. The lack of consistency of identification of key sectors by the various methods suggests that these approaches have limited utility at the regional level.

scholarly journals Public–Private Partnership Infrastructure Investment and Sustainable Economic Development: An Empirical Study Based on Efficiency Evaluation and Spatial Spillover in China

2021 ◽  
Vol 13 (15) ◽  
pp. 8146
Author(s):  
Bingyao Chen
Keyword(s):  
Economic Development ◽  
Infrastructure Investment ◽  
Economic Sustainability ◽  
Regional Economies ◽  
Input Output ◽  
Private Partnership ◽  
Spatial Spillover ◽  
Sustainable Economic Development ◽  
Output Efficiency ◽  
Industrial Heterogeneity

Public–private partnership (PPP), an innovative mode of infrastructure investment, has been widely applied in China and has become an essential policy tool with which to promote sustainable economic development. In order to comprehensively evaluate the economic consequences, using 31 provinces in China from 2003 to 2018 as samples, first, stochastic frontier analysis was performed to measure the input–output efficiency of infrastructure investment to evaluate the economic sustainability and efficiency of PPP compared to single government-led investment mode. Next, the overall economic growth effect of PPP was verified. Further, from the perspective of sustainable development of regional economies, the double-fixed effect spatial Durbin model was adopted to empirically test the spatial spillover effect of PPP and clarify its industrial heterogeneity. The results show the following. (1) The average input–output efficiency of infrastructure is 0.449, revealing a distribution law of decreasing from east to west and remarkable regional variation. However, a good trend of improvement emerged, reflecting the economic sustainability of infrastructure investment, and PPP has played a positive role in promoting it. (2) PPP has significant and positive economic growth and spatial spillover effects, which can promote regional economic integration, embodying its economic sustainability function. (3) The economic impact of PPP has significant industrial heterogeneity. Transportation PPP can bring greater economic benefits, confirming the vital position of transportation infrastructure in the sustainable development of regional economies. Energy and water PPPs have positive externalities. All of this provides powerful and reliable proof of the realization of sustainable economic development under the regional virtuous circle driven by infrastructure investment through PPP.

scholarly journals Assessing the Social Impact of Mental Health Service Accessibility by a Nonprofit Social Enterprise: A Mixed--methods Case Study

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Aaron Turpin ◽  
Micheal Shier ◽  
Kate Scowen
Keyword(s):  
Mental Health ◽  
Mixed Methods ◽  
Social Enterprise ◽  
Social Impact ◽  
Health Knowledge ◽  
Assessment Model ◽  
Mental Health Stigma ◽  
Service Accessibility ◽  
The Social

The following study sought to examine the social impact of a social enterprise mental health services model by assessing its impact on service accessibility and mental health stigma.  A novel approach to case study – a mixed methods design was developed by collecting data from service users, counsellors, and community members of a social enterprise in Toronto, Ontario, using qualitative interviews and the Mental Health Knowledge Schedule (MAKS) survey.  Findings show how the social enterprise increases service access and challenges mental health stigma by engaging in a variety of activities, including providing low--cost counselling, diversifying services, offering a positive and safe non--clinical environment, and engaging with the public directly by utilizing a storefront model. As a result of data triangulation analysis, common themes and discrepancies between respondent groups are identified and discussed. No significant relationships were found between mental health stigma and community member demographic characteristics. Insights on replication of this social impact assessment model are discussed.

scholarly journals Frequency distribution of journalistic attention for scientific studies and scientific sources: An input – output analysis

2020 ◽  
Author(s):  
Markus Lehmkuhl ◽  
Nikolai Promies
Keyword(s):  
Power Law ◽  
Media Coverage ◽  
Social Impact ◽  
News Coverage ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Study Results ◽  
Scientific Results ◽  
Selection Of

Based on the decision-theoretical conditions underlying the selection of events for news coverage in science journalism, this article uses a novel input-output analysis to investigate which of the more than eight million scientific study results published between August 2014 and July 2018 have been selected by global journalism to a relevant degree. We are interested in two different structures in the media coverage of scientific results. Firstly, the structure of sources that journalists use, i.e. scientific journals, and secondly, the congruence of the journalistic selection of single results. Previous research suggests that the selection of sources and results follows a certain heavy-tailed distribution, a power law. Mathematically, this distribution can be described with a function of the form C*x-α. We argue that the exponent of such power law distributions can potentially be an indicator to describe selectivity in journalism on a high aggregation level. In our input-output analysis, we look for such patterns in the coverage of all scientific results published in the database Scopus over four years. To get an estimate of the coverage of these results, we use data from the altmetrics provider Altmetric, more precisely their Mainstream-Media-Score (MSM-Score). Based on exploratory analyses, we define papers with a score of 50 or above as Social Impact Papers (SIPs). Over our study period, we identified 5,833 SIPs published in 1,236 journals. We consider a power law fit with an exponent of about -2 to be plausible for the distribution of the source selection but cannot confirm the power law hypothesis for the distribution of the selection of single results. In this case, an exponentially truncated power law seems to be the better fit.

Simulating Impacts on Regional Economies

2013 ◽  
pp. 132-152 ◽  
Author(s):  
Guy R. West ◽  
Randall W. Jackson
Keyword(s):  
General Equilibrium ◽  
Computable General Equilibrium ◽  
Full Range ◽  
Data Availability ◽  
Regional Economies ◽  
Input Output ◽  
Computable General Equilibrium Models ◽  
Sire Model ◽  
Cge Models ◽  
Regional Impacts

Practitioners and academics apply a range of regional economic models for impacts assessment. These models extend from a simple economic base through to input-output and econometric models and computable general equilibrium models. All such models have strengths and weaknesses. Dimensions of which impact assessment models are often compared include level of industry detail, data availability, and complexity of behaviour modelled. This chapter presents a model for Simulating Impacts on Regional Economies (SIRE) that occupies an intermediate position between Input-Output (IO), arguably the most widely used model for regional impacts assessments, and Computable General Equilibrium (CGE) models. With greater behavioural detail than the typical regional IO model, the SIRE model incorporates many of the features of CGE models without enforcing the strictly linear behavioural relationships of IO. Like most CGE models, the simulation framework presented here borrows a subset of parameters from an existing econometric model for the same region. The SIRE model falls short, however, of the complexity of capturing the full range of behaviours of CGE models.

Simulating Impacts on Regional Economies

2014 ◽  
pp. 1064-1083
Author(s):  
Guy R. West ◽  
Randall W. Jackson
Keyword(s):  
General Equilibrium ◽  
Computable General Equilibrium ◽  
Full Range ◽  
Data Availability ◽  
Regional Economies ◽  
Input Output ◽  
Computable General Equilibrium Models ◽  
Sire Model ◽  
Cge Models ◽  
Regional Impacts

Practitioners and academics apply a range of regional economic models for impacts assessment. These models extend from a simple economic base through to input-output and econometric models and computable general equilibrium models. All such models have strengths and weaknesses. Dimensions of which impact assessment models are often compared include level of industry detail, data availability, and complexity of behaviour modelled. This chapter presents a model for Simulating Impacts on Regional Economies (SIRE) that occupies an intermediate position between Input-Output (IO), arguably the most widely used model for regional impacts assessments, and Computable General Equilibrium (CGE) models. With greater behavioural detail than the typical regional IO model, the SIRE model incorporates many of the features of CGE models without enforcing the strictly linear behavioural relationships of IO. Like most CGE models, the simulation framework presented here borrows a subset of parameters from an existing econometric model for the same region. The SIRE model falls short, however, of the complexity of capturing the full range of behaviours of CGE models.

The Impact of Daikyo as a Foreign Investor on the Cairns — Far North Queensland Regional Economy

1998 ◽  
Vol 30 (1) ◽  
pp. 161-179 ◽  
Author(s):  
R J Stimson ◽  
O H Jenkins ◽  
B H Roberts ◽  
M T Daly
Keyword(s):  
Foreign Investment ◽  
Regional Economy ◽  
Foreign Investor ◽  
Regional Economies ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Far North ◽  
Regional Production ◽  
Industry Sectors ◽  
The Impact

Foreign investment has played a major role in the development of tourism in the Cairns-Far North Queensland region of Australia, one of the nation's most internationalised regional economies. As the owner of a significant number of hotels and tourism operations, the Daikyo Corporation from Japan is the major foreign player, contributing substantially to employment and regional production. In this paper we use input-output analysis to estimate the contribution of Daikyo to the regional economy, which is shown to be positive and considerably greater in its export-to-import ratio effects, than is the case for the total industry sectors.

scholarly journals Residents’ Satisfaction with Tourism and the European Tourism Indicator System in South Sardinia

2019 ◽  
Vol 11 (8) ◽  
pp. 2243 ◽  
Author(s):  
Ilaria Foroni ◽  
Patrizia Modica ◽  
Mariangela Zenga
Keyword(s):  
Social Impact ◽  
Indicator System ◽  
Theoretical Frameworks ◽  
Policy Makers ◽  
Tourist Destinations ◽  
Seaside Resort ◽  
The Social ◽  
Local Residents ◽  
Operational Concept ◽  
The Relationship

To make sustainable tourism a more concrete and operational concept, many sets of indicators have been proposed by both academics and policy makers. Among the latter, the European Tourism Indicator System (ETIS) was launched by the European Commission to monitor tourist destinations at a subnational level. To evaluate the social impact of tourism, the ETIS recommended the administration of a proposed questionnaire to the local residents. We conducted the survey administration of the ETIS questionnaire in an Italian seaside resort. In this paper, we report the main outcomes of the survey and propose their interpretation within the context of some of the theoretical frameworks described in the academic literature referring to the relationship between tourism and host communities.

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