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Previous studies on tourism input-output (IO) primarily focus on a single year’s snapshot or utilize outdated IO coefficients. The purpose of this paper is to analyze the multi-period development of regional tourism capacities and its influence on the magnitude of the industry’s regional economic contribution. The paper highlights the importance of applying up-to-date IO coefficients to avoid estimation bias typically found in previous studies on tourism’s economic contribution.

For the period 2008-2014, national IO tables are regionalized to estimate direct and indirect economic effects for output, employment, income and other value-added deffects. A comparison of Leontief inverse matrices is conducted to quantify estimation bias when using outdated models for analyzing tourism’s economic contribution.

On the one hand, economic linkages strengthened, especially for labour-intensive sectors. On the other hand, sectoral recessions in 2012 and 2014 led to an economy-wide decline of indirect effects, although tourists’ consumption was still increasing. Finally, estimation bias observed after applying an outdated IO model is quantified by approximately US$4.1m output, 986 jobs full-time equivalents, US$24.8m income and US$14.8m other value-added effects.

Prevailing assumptions on IO modelling and regionalization techniques aim for more precise survey-based approaches and computable general equilibrium models to incorporate net changes in economic output. Results should be cross-validated by means of qualitative interviews with industry representatives.

Additional costs for generating IO tables on an annual base clearly pay off when considering the improved accuracy of estimates on tourism’s economic contribution.

This study shows that tourism IO studies should apply up-to-date IO models when estimating the industry’s economic contribution. It provides evidence that applying outdated models involve the risk of estimation biases, because annual changes of multipliers substantially influence the magnitude of effects.

Under the global climate change, carbon footprint has become a hot issue at home and abroad. However, there is no consensus on the concept, measurement and application of carbon footprint.

In this paper, first, the concept and connotation of carbon footprint are reviewed; then, different methods of carbon footprint measurement are compared, and it is found that “bottom-up” life cycle assessment and “top-down” input–output analysis are applicable to different research scales.

Finally, the problems in the process of carbon footprint assessment in textile industry are analyzed and further research directions are proposed.

Analyzed and further research directions are proposed.

Present concerns for sustainable development have led to a revival of traditional building practices using natural or recycled resources. There is a perception that buildings constructed from such materials are environmentally benign. This perception is questionable, as often no evaluation is undertaken to assess the associated environmental impacts. Rammed earth is one such construction technology that has seen renewed interest in recent years. The energy required to manufacture materials (i.e. embodied energy) is a significant component of the life cycle energy associated with buildings. This paper assesses the embodied energy of rammed earth construction relative to brick veneer and cavity brick construction. Rammed earth was found to have significantly less embodied energy than cavity brick construction (to which it is closer in thermal performance), but was approximately equivalent to brick veneer construction. Topics of further research identified include thermal performance and strategies for reducing the embodied energy of cement used for earth stabilisation.

The purpose of this article is to describe the characteristics and the consumption behaviour of tourists coming from different countries and choosing different holiday typologies (cultural, seaside, mountains, etc.), by evaluating their expenditure in terms of consumption functions and productive sectors. The analysis — which uses the results of the survey on tourist expenditure carried out in the Veneto region, with particular reference to international tourism, from May 1994 to April 1995 —, can be suitably extended over the local scale. A multisectoral‐biregional input output model (VERDITOUR) has been implemented to measure the economic role of each segment and the plot of interactions going from tourist expenditure habits to the tourism industry.

Économiste de renom, l'auteur démontre le rle de pionnier que la recherche touristique espagnole a joué dans l'application d'instruments macroéconomiques tels que l'analyse “input‐output” et la balance des paiements touristiques. II souligne en outre, il mentionne l'importance d'un institut de recherche soutenu par l'État (Instituto de Estudios Turísticos) lorsqu'il s'agit d'analyser d'une façon approfondie la structure de l'économie touristique. II a publié récemment un manuel sur l'économie du tourisme, édité par l'Organisation mondiale du tourisme.

The objective of this chapter is to discuss how different techniques in Regional Science and Peace Science and the emerging techniques in Management Science can be used in analysing Disaster Management and Global pandemic with special reference to developing countries. It is necessary for me to first discuss the subjects of Disaster Management, Regional Science, Peace Science and Management Science. The objective of this chapter is to emphasise that the studies of Disaster Management should be more integrated with socioeconomic and geographical factors. The greatest disaster facing the world is the possibility of war, particularly nuclear war, and the preparation of the means of destruction through military spending.

Understanding China's carbon dioxide (CO2) emission status is crucial for getting Carbon Neutrality status. The purpose of the paper is to calculate two possible scenarios for CO2 emission distribution and calculated input-output flows of CO2 emissions for every 31 China provinces for 2012, 2015 and 2017 years.

In this study using the input and output (IO) table's data for the selected years, the authors found the volume of CO2 emissions per one Yuan of revenue for the industry in 2012 and the coefficient of emission reduction compared to 2012.

Results show that in the industries with a huge volume of CO2 emissions, such as “Mining and washing of coal”, the authors cannot observe the reduction processes for years. Industries where emissions are being reduced are “Processing of petroleum, coking, nuclear fuel”, “Production and distribution of electric power and heat power”, “Agriculture, Forestry, Animal Husbandry and Fishery”. For the “construction” industry the situation with emissions did not change.

“Transport, storage, and postal services” and “Smelting and processing of metals” industries in China has the second place concerning emissions, but over the past period, emissions have been sufficiently reduced. “Construction” industry produces a lot of emissions, but this industry does not carry products characterized by large emissions from other industries. Authors can observe that Jiangsu produces a lot of CO2 emissions, but they do not take products characterized by significant emissions from other provinces. Shandong produces a lot of emissions and consumes many of products characterized by large emissions from other provinces. However, Shandong showed a reduction in CO2 emissions from 2012 to 2017.

The purpose of this paper is to focus on the real estate development and community interaction aspects of US shopping malls. The existing research on shopping mall development and redevelopment can more comprehensively address the importance of malls to the communities in which they are located. Existing shopping mall research focuses on lease valuation, tenant location, retail agglomeration economies, retail demand externalities and intangible asset value. Largely, neglected areas of research are the community and economic contributions of shopping malls. These are critical issues given the age of shopping malls worldwide, the need for adjacent area redevelopment and requirement of large public subsidies for infrastructure construction.

This paper investigates the critical role of shopping malls as town centres and catalysts for area development and redevelopment. A review of the existing research on shopping malls and retail economic contributions to communities is addressed along with how mall redevelopment can be a catalyst for the revitalization of urban core and suburban areas. Methodology on the measurement of shopping centre economic and employment impacts using input/output (IO) modelling is reviewed and analysed.

IO modelling is an effective tool to evaluate publically supported infrastructure to accompany shopping mall and retail redevelopment. As an example of an IO analysis of construction and mall operations economic impacts, the paper presents a case study of the proposed $2 billion Mall of America (Bloomington, Minnesota) expansion employing IO modelling.

The paper demonstrates the community benefits and economic justification for public support for mall revitalization and provides a reliable analytical tool for quantifying the benefits of mall redevelopment to the community.