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Previous studies on tourism input-output (IO) primarily focus on a single year’s snapshot or utilize outdated IO coefficients.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 A comparison of Leontief inverse matrices is conducted to quantify estimation bias when using outdated models for analyzing tourism’s economic contribution.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 Finally, estimation bias observed after applying an outdated IO model is quantified by approximately US$4.1m output, 986 jobs full-time equivalents, US$24.8m income and US$14.8m other value-added effects.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 It provides evidence that applying outdated models involve the risk of estimation biases, because annual changes of multipliers substantially influence the magnitude of effects.

The purpose of this study is to examine the total economic impact of tourism at the regional level in Central Finland. This paper aims to clarify the extent to which tourism contributes to regional output, employment, income and taxes in tourism-related sectors.

This study is based on a regional input–output analysis. The author calculates the effects of tourism on regional output, demand, wages, employment and national and regional taxes in Central Finland.

The author’s regional input–output analysis reveals that tourism has a substantial impact on production in Central Finland (including the direct and indirect effects of consumption by tourists in different sectors). Moreover, the effects of tourism expenditures on employment and residents’ incomes in tourism-related sectors in Central Finland are quite significant.

Many limitations of this study stem from the assumptions of the input–output model. Other limitations relate to the analysis of the impacts of tourism on household taxes, savings, consumption and net income. Our study uses average figures, which may overstate the effect of tourist expenditures on taxes because tourism jobs are often low paying.

The study yields results that can be used to frame regional policy. The results may be useful for policymakers in planning for tourist attractions. Furthermore, local authorities may use the results to guide decisions regarding infrastructure investments or improvements to the operating environment of tourism industries.

Many studies analyse the economic impact of events at the regional level using input–output analysis. National-level tourism impact studies using the input–output technique have also been conducted. Studies focussed on the economic impact of tourism at the regional level typically examine the macroeconomic (income, output and employment) effects of tourism. Consequently, these studies have focussed on estimating output, employment and income multipliers (Mazumder et al., 2012). The author’s contribution is a regional input–output analysis of direct and indirect impacts of tourism expenditures on production, demand, wages, income and employment in the whole economy at the regional level (in Central Finland). The author also analyses the impacts of tourism on national and regional taxes. The results of this study could be used by planners and policymakers involved in regional planning and development.

This paper aims to investigate the issue of performance measurement of social enterprises with main particular focus on economic performance approach reflecting local aspect, since the local aspect plays a significant role in social entrepreneurship concept. Thus, comparison of two instruments that consider local aspects: local multiplier 3 (LM3) and Input-Output analysis is examined. Input-Output analysis is empirically used to calculate social enterprises’ impact on the Czech economy and to confirm the assumption to be more suitable instrument for economic performance measurement of social enterprises in comparison to local multiplier 3 method.

The research adopted two-phase approach. At first a qualitative approach was used to compare the two selected instruments (LM3 and Input-Output analysis). Consequently, a quantitative research was applied to determine the impact of social enterprises’ activities on the economies of individual regions. The research was carried out on a sample of social enterprises (143 subjects) in the Czech Republic covering the year 2015. For this approach, Symmetric Input-Output tables and multipliers were calculated and revenue data from each observed social enterprise were used.

The findings of the research indicate effects of social enterprises’ activities on the economy in individual regions of the Czech Republic. The results clearly show that the impact of social enterprises on the Czech economy is not negligible. Calculated impacts differ in sectors as well as in regions. Besides, of these findings, the assumption that the Input-Output analysis is more appropriate instrument for economic performance measurement of social enterprises, especially in situation of a larger sample of social enterprises in different regions, in comparison to LM3 method, was confirmed.

The limitations of this study is the dependence on the Symmetric Input-Output tables, which are usually published by local statistical offices and it takes some time to construct them. A more significant limitation and future research direction relates to the lack of generally accepted measurement framework in the sector of social enterprises and lack of the data, especially quantitative, in the Czech Republic.

The findings of the research represent a significant contribution to the process chain of understanding the role of social enterprises in (local) economy. The lack of proven impact of social enterprises to economy is considered as important limit of this sector development, not only from the perspective of investors and donors but also from the perspective of policymakers and even social enterprises themselves. The Input-Output analysis can be applied for any region of any country and can contribute to reduce scepticism about economic performance of social enterprises, thus to support putting social and environmental goals of social enterprises into practice.

This research has been carried out on the so far largest identified sample of social enterprises in the Czech Republic and provides data for discourse among stakeholders about social enterprises’ impact; thus, it enables to understand their impact and make capable to enlarge their support network and development.

This research is a pioneering attempt to provide data about economic impact of social enterprises using Input-Output analysis in the Czech Republic. No previous research identifies such a large sample of Czech social enterprises and collects quantitative data about them, as well as considers Input-Output analysis as an option instead of LM3 method. The effort of this research has been to react on a research gap in studies related to the impact of social enterprises (reflecting local aspect). This paper could be understood as beneficial not only from the perspective of the Czech Republic but also worldwide.

The purpose of this study is to investigate labor congestion in the automotive industry in Mexico.

By using the cluster and subcluster definitions by Delgado et al. (2016) and relying on an efficiency and production function perspective, this study estimates a standard production function and measures marginal returns of labor at the regional cluster and subclusters levels. To assess whether wages affect the finding of congestion and productivity, the model also measures the individual impact of wages on both total productivity and marginal returns of labor.

Among other results, this paper finds evidence of labor congestion in the automotive cluster in Mexico. This congestion deepens with wages and it is specific to some regions and some subclusters.

The methods used are based on panel data techniques but are fundamentally cross-section in nature. The time period available may condition these findings.

To the authors’ knowledge, this is the first study reporting congestion in the automotive cluster in Mexico.

The FNEGE and then EFMD have been interested in defining a methodology that would make it possible to highlight the impact of a business school on its home territory. This has led to the development of the “Business School Impact System” (BSIS), which is introduced in this paper. The paper aims to discuss these issues.

The paper is structured as follows. The authors first present the methodological issues of the work that led us to develop the “BSIS” (EFMD, 2014). In a second section, the authors present BSIS in more detail.

Based on the exploratory interviews and the literature review, the authors could first identify three main categories of impact: the financial impact; the impact on the regional community; and the impact on attractiveness and image.

The first benefit of BSIS is linked to the creation of an information system on impact. Second, the BSIS process increases the awareness inside the business school regarding the significance of this issue. Third, the authors observe that for numerous members of the business school the question of the impact of their activity gives them a better image of their job, of what they are doing and why they are doing it. Fourth, the BSIS report constitutes a powerful tool for communication with the stakeholders. The final benefit lies in the reviewers’ recommendations on how to improve the impact of the business school.

The economic and social problems, including high unemployment, facing the Greek economy in recent years are substantial. The role of the agri-food sector and agriculture in dealing with unemployment is a concern. To support the agricultural economy, a Common Agricultural Policy (CAP) 2007–2014 was adopted and implemented in the EU Member States. However, boosting employment, in the industry itself and indirectly in the economy, has almost never been a key goal of any policy. The purpose of this paper is to examine the role of the CAP 2014–2020 in maintaining and enhancing employment and income distribution in the region of Central Macedonia.

The authors used the regional social accounting matrix (SAM), which examines the depiction of the interconnections between the sectors of economic activity and local economy (households, businesses, public) but also interconnections and transactions with the rest of the world. The SAM presents a more complete picture of the economic figures of the region, evaluating the interconnections of cross-sectoral relations and the implemented policies, both in the production sectors and in the regional society.

For the Central Macedonia region, the agricultural sector is a key player, holding a regulatory role for regional economic viability, and shows marked connections with the other industry branches of the region.

The new CAP 2014–2020 through Pillar 2–Rural Development may reinforce the new role of the industry in terms of the environment, integrated rural development and social structure of rural areas, ensuring coherence.