Competency Training for Managing International Cooperation Engineering Projects

Organizations are becoming more and more aware of how important it is to strengthen the competences of their project managers. This fact acquires greater relevance in the development and international cooperation sector because of the need to have qualified professionals who can take up the challenges and address the specific demands of an ever more demanding and constantly evolving sector. This article provides the results of research that more than 100 experts in project management and administration participated in to detect which competences are the most relevant in this context.     

Housing sales in urban Beijing

In the housing market, new properties sometimes experience delays before they are sold. Such delays reflect the preferences of buyers in respect of the homes’ characteristics. Therefore, it is important for managerial purposes to identify the causes of housing sales delays. After analysing the delays in sales of housing in Beijing City, China, the principal finding of this study is that delays are largely explained by the dwellings’ characteristics and location. Policy implications of the research findings, particularly those related to means of reducing the delays, are discussed.     

Tariffs,foreign capital and immiserizing growth

For a small tariff-imposing country, within the standard two-commodity two-factor model of international trade, this paper reconsiders the implications of an inflow of capital from abroad. When the host country continues to import the capital-intensive good while remaining incompletely specialized, the analysis shows that the capital inflow must reduce host-country welfare, assuming that the foreign capital receives the full (untaxed) value of its marginal product. Under other circumstances considered, however, the inflow may have different consequences for welfare.     

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.     

The education pillar of the Europe 2020 strategy: a convergence analysis

Empirica - In March 2010, the European Commission launched the Europe 2020 strategy ‘for smart, sustainable and inclusive growth’ in the EU. Education is a major pillar of the Europe...     

Corporate financial distress: The case of publicly listed firms in an emerging market economy

Occurrences of financial distress (FD) are not readily obvious yet can span several periods. This paper examines episodes of FD using industry‐relative (IR) firm‐/ accounting‐, market‐ and macro‐level information. Mixed logit regressions reveal that firm‐ and market‐based measures, as well as macro‐level variables explain the likelihood of FD in 263 publicly listed non‐banking firms in the Philippines during the period 1995 to 2018. Rates of identification of firms in financial distressed states of close to 69 percent are obtained at a cutoff probability of 0.30 in the model with time‐varying intercept and slope. This study shows the importance of recognizing heterogeneous firm behavior. The ability to more accurately predict the probability of FD and to determine the financial health of firms can help financial institutions in allocating funds and policy makers in predicting crises episodes.     

Why is free education so popular? A political economy explanation

This paper analyzes the political support for different funding regimes of education in a one‐person, one‐vote democracy. We focus the analysis on four systems that have had a preponderant presence in the political debate on education: a private system, a public system that delivers the same resources to each student (universal‐free education), a public system that intends to equalize results, and a public system that aims to maximize the output of the economy. We show that a system of universal free education is the Condorcet winner. The level of income inequality and the degree to which income distribution is skewed to the right are key factors behind this conclusion. We also show that the voting outcome of public versus private funding for education depends crucially on the type of public funding under consideration.     

Valuing American-style options under the CEV model: an integral representation based method

Review of Derivatives Research - This article derives a new integral representation of the early exercise boundary for valuing American-style options under the constant elasticity of variance (CEV)...     

Consumption as a social integration strategy in times of crisis: The case of vulnerable households

In this article, we focus on consumption in a context of economic hardship. From an empirical perspective, and using a qualitative methodology, we show how disadvantaged individuals and households maintain a level of consumption commensurate with the society in which they are integrated through a type of consumption conceived of here as “resilient”. Resilient consumption is characterized by being a type of expenditure oriented towards maintaining the role of consumer, that is, maintaining a minimum level of purchasing power, modifying to this end both the level and the structure of consumption, both of which are key elements in the resilience process. We identify five main strategies used by households that modify and restructure the consumption of basic goods and necessities in response to economic hardship. Key resilient consumption strategies include: reduction (cutting down on spending), substitution (replacement of one difficulty with another), compensation (pseudo‐consumption or reduced usage), transference (meta‐resilience) and integration (reinterpretation of difficulties as opportunities). We conclude that although consumption is a naturally resilient behaviour, in a crisis context, resilient practices focus on maintaining acquisition capacity in spite of reduced income.     

Using clustering ensemble to identify banking business models

The business models of banks are often seen as the result of a variety of simultaneously determined managerial choices, such as those regarding the types of activities, funding sources, level of diversification, and size. Moreover, owing to the fuzziness of data and the possibility that some banks may combine features of different business models, the use of hard clustering methods has often led to poorly identified business models. In this paper we propose a framework to deal with these challenges based on an ensemble of three unsupervised clustering methods to identify banking business models: fuzzy c‐means (which allows us to handle fuzzy clustering), self‐organizing maps (which yield intuitive visual representations of the clusters), and partitioning around medoids (which circumvents the presence of data outliers). We set up our analysis in the context of the European banking sector, which has seen its regulators increasingly focused on examining the business models of supervised entities in the aftermath of the twin financial crises. In our empirical application, we find evidence of four distinct banking business models and further distinguish between banks with a clearly defined business model (core banks) and others (non‐core banks), as well as banks with a stable business model over time (persistent banks) and others (non‐persistent banks). Our proposed framework performs well under several robustness checks related with the sample, clustering methods, and variables used.