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Infant mortality has fallen rapidly in underdeveloped countries in the period since World War II. There is accumulating evidence, however, that this unprecedented decline was arrested in the late 1960s and early 1970s. Hence it is of critical importance to enquire into the determinants of infant mortality in these countries, in order to discover ways of reducing the enormous human suffering caused by the high rates of mortality which continue to prevail. Furthermore, such an understanding might facilitate a reduction in fertility, since it is widely accepted that a fall in infant mortality will lead ultimately to lower fertility .

Previous studies on tourism input-output (IO) primarily focus on a single year’s snapshot or utilize outdated IO coefficients.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 A comparison of Leontief inverse matrices is conducted to quantify estimation bias when using outdated models for analyzing tourism’s economic contribution.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 Finally, estimation bias observed after applying an outdated IO model is quantified by approximately US$4.1m output, 986 jobs full-time equivalents, US$24.8m income and US$14.8m other value-added effects.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

This register of current research in social economics has been compiled by the International Institute of Social Economics. The register does not claim to be comprehensive but is merely an aid for research workers and institutions interested in social economics. The register will be updated and made more comprehensive in the future but this is largely dependent on the inflow of information from researchers in social economics. In order to facilitate this process a standardised form is to be found on the last page of this register. Completed forms, with attached sheets as necessary, should be returned to the compiler: Dr Barrie O. Pettman, Director, International Institute of Social Economics, Enholmes Hall, Patrington, Hull, N. Humberside, England, HU12 OPR. Any other comments on the register will also be welcome.

Since the first Volume of this Bibliography there has been an explosion of literature in all the main areas of business. The researcher and librarian have to be able to uncover specific articles devoted to certain topics. This Bibliography is designed to help. Volume III, in addition to the annotated list of articles as the two previous volumes, contains further features to help the reader. Each entry within has been indexed according to the Fifth Edition of the SCIMP/SCAMP Thesaurus and thus provides a full subject index to facilitate rapid information retrieval. Each article has its own unique number and this is used in both the subject and author index. The first Volume of the Bibliography covered seven journals published by MCB University Press. This Volume now indexes 25 journals, indicating the greater depth, coverage and expansion of the subject areas concerned.

The purpose of this study is to measure the technical efficiency of Japanese national universities over the period 2010–2016. In addition, the authors also sought to identify the determinants of efficiency, especially those amenable to public policy intervention.

First, the authors ran a global intertemporal data envelopment analysis to understand the trends in efficiency for national universities over the relevant period. Following this, the authors conducted a second-stage regression using a double-bootstrapped truncated regression model to identify the possible determinants of efficiency.

The authors found no evidence to suggest that technical efficiency of national universities systematically decreased or increased in response to either structural reform or a reduction to government grants. Moreover, the share of government grants, the size of universities and disciplines of study offered by the universities were statistically significant determinants of efficiency.

The study results suggest that efficacious public policy remedies might include inter alia measures to reduce the reliance on public funding, efforts to attract more foreign students, the execution of mergers among small universities and consolidation of inefficient departments.

This research fills an important gap in the scholarly literature with respect to Japanese national universities and identifies possible determinants to efficiency, which are amenable to remedial public policy interventions.

The purpose of this paper is to measure the financial efficiency and productivity of 23 public universities founded in 1992 in Turkey over the period between 2004 and 2013. The results obtained will provide managerial information and act as a guide to public universities’ administrations, in using their resources more effectively.

Data envelopment analysis is applied to assess the relative financial efficiency of these universities, while Malmquist total factor productivity index is used to measure the total factor productivity change concerning financial inputs of the universities.

The number of financially efficient universities and the number of universities showing an increase in their productivity according to their financial inputs change annually and both of them display a rough trend over the years. A decrease of about 5 percent in the financial productivity of the universities is observed which stems from a technological recession. Therefore, public universities in Turkey are not able to develop effective policies to diversify, increase and use their financial resources.

When the lack of studies within the literature measuring the financial efficiency of higher education institutions is taken into account, this study can fill a gap in this area. The analyses conducted here distinguish from existing studies on this subject with regards to the extent and diversity of financial data set and the measurement of both efficiency and productivity change of universities considering financial inputs concurrently.