Bayesian selection of technology assumptions for the transformation from supply-use to input–output tables

ABSTRACT

In the construction of input–output models from supply-use tables, technology assumptions disambiguate how an industry uses inputs in the production recipe of multiple outputs. This paper uses Bayes' theorem to select technology assumptions, taking into account empirical observations. The paper presents a formulation to explore hybrids between product and industry technology assumptions in product-by-product tables. We then present Markov chain Monte-Carlo techniques to implement the Bayesian method for selecting technology assumptions. We apply the method in a case study using Eurostat supply-use tables of 2004 and 2005, exhibiting a volume of secondary products of less than 13%, and 59 products and industries per country. The results show that the choice of technology is not important, given that there is no strong evidence in favour of any of them.     

Special issue on advanced methods to measure tourism impacts. Editors’ introduction

Portuguese Economic Journal -     

Attracting potential blood donors: The role of personality and social marketing

Globally, society has been facing several and growing health problems, which increased the importance of efforts towards social change. In this context, using social marketing to create and implement programs that foster behavioural change has increased in the public health community. One of the health problems that society has been facing is the unceasing need for blood products, so the subject of blood donation became an important research topic in the area of social marketing, as social marketing strategies can contribute to solving this problem. It is essential to understand the factors that motivate individuals to donate blood, to enhance the recruitment and retention of blood donors. Our study aims at evaluating the key personality factors that influence blood donation behaviour to reach a higher understanding of what concerns this global issue. The method used to analyse the data is ANOVA. We conclude that the Personality of potential donors is significantly different from the non-donors' regarding Openness to Experience and Agreeableness. These results suggest that potential donors might perceive blood donation, as well as the associated barriers, differently from non-donors. Based on our findings, we suggest some perspectives for future research in this area.     

Maximizing benefits in project selection: a hybrid approach

Charitable foundations and government programmes should endeavour to allocate their limited resources to best serve their constituents. Yet, mathematical programming techniques are rarely used despite overwhelming evidence of their superiority in selecting projects that yield higher levels of total benefits. We present a novel ‘hybrid selection model’ that combines binary linear programming and heuristic rank-based models applied to two case studies. The first case focuses on providing services to women and shows a hybrid model would have selected the top three ‘signature’ projects and maintained an above-average overall project benefit while securing a 180% improvement in the number of projects funded, a 66% improvement in the number of women served and a 132% improvement in the total benefit achieved. In the second case, we apply the hybrid approach to data from the US government’s largest forest preservation programme and demonstrate that the hybrid approach could allow the programme to select up to 11 top-scoring projects while still achieving a 97% gain in the total overall benefit compared to their traditional method. These case studies show that the hybrid approach has the potential to be applied in a variety of settings and improve how foundations and programmes achieve their goals.     

Light fuel demand and public policies in Brazil, 2003–2013

The main objective of this article is to evaluate determinants of demand for light fuels in Brazil between 2003 and 2013. Through a vector autoregression analysis, an effort was made to identify and quantify the impact of different economic variables and public policy measures adopted during this period on the surprising increase in energy consumption by Brazil’s light-vehicle fleet. The results suggest that demand for energy by the light-vehicle fleet was influenced by an increase in income, by a decrease in fuel prices associated with a policy designed to prevent increases in the price of gasoline from pushing the inflation rate up, by a higher availability of credit for buying vehicles, and by a drop in the real price of those goods, with emphasis on countercyclical measures to waive the tax on industrialized products levied on new vehicles during economic downturns in the automotive industry.     

The Effects of Additive Outliers and Measurement Errors when Testing for Structural Breaks in Variance*

This article discusses the asymptotic and finite‐sample properties of the CUSUM tests for detecting structural breaks in volatility when the data are perturbed with (additive) outliers and/or measurement errors. The special focus is on the parametric and non‐parametric tests in Inclán and Tiao (1994) and Kokoszka and Leipus (2000) . Whereas the asymptotic distribution of the former can be largely affected, the distribution of the latter remains invariant and renders consistent break‐point estimates. In small samples, however, large additive outliers are able to generate sizeable distortions in both tests, which explains some of the contradictory findings in previous literature.     

Behaviours and entrepreneurial intention: Empirical findings about secondary students

This paper aims to identify some factors that may be explaining differences among secondary students in start-up intentions. For that, the study develops an entrepreneurial intention model sustained by the use of Azjen’s Theory of Planned Behaviour (TBP). Using a sample of students aged between 14 and 15 years old, a questionnaire based on the Li?án and Chen’s Entrepreneurial Intention Questionnaire was administrated. The purpose is to test a model of entrepreneurial intention using structural equations. The findings point that TPB is an appropriate tool to model the development of entrepreneurial intention through pedagogical processes and learning contexts. The education and training should centre itself much more in changing personal attitudes than in knowledge. Moreover, it is desirable that an entrepreneurship educational programme could contribute to the development of competences related to entrepreneurship, social and civic skills, and cultural awareness.     

Sodium content in foods: Brazilian consumers’ opinions,subjective knowledge and purchase intent

This study attempted to gain insights on Brazilian consumers’ subjective knowledge of sodium content in processed and homemade foods and their purchase intent for products with reduced‐sodium content. A questionnaire was distributed to 409 consumers selected by convenience quota sampling. We found that Brazilian consumers were concerned about the amount of salt (sodium chloride) in the products they consumed, regardless of educational levels, income, age, lifestyles, or health conditions. However, they still considered their consumption to be above WHO‐recommended limits and had little subjective knowledge about the term ‘sodium’. While processed products were considered the main contributors of high‐sodium intake, participants were not concerned about addition of salt at the table and salt in homemade food. The majority of respondents rarely read the sodium content on food labels; however, men and older individuals were more likely to read label information on sodium content. Products with reduced sodium were found to have market appeal, which justifies investments in research to develop these products. Therefore, in addition to the efforts to reduce sodium in the processed‐food industry, it is necessary to promote awareness about the importance of food labelling, especially sodium content, and the need to reduce salt in homemade food and additions during meals.