Sistema Regional de Información
en línea para Revistas Científicas de América Latina,
el Caribe, España y Portugal

The tourism sector is experiencing a change in trend due to the widespread use of Web 2.0 by tourists. This phenomenon has prompted tourism agents to apply Big Data techniques and Business Intelligence tools to find out what tourists think. In this sense, the analysis of the Electronic Word Of Mouth in Social Networks is particularly relevant, and the academic literature has faced some difficulties in extracting data, determining its meaning and linking it to the destination. The aim of this work is to is to present the results that can be generated by the design of a tourism reputation index, through the analysis of data created collaboratively on the Twitter Social Network. For this purpose, a BI tool has been created to extract data from short text messages posted by users (tweets) and process them by implementing an Extract, Transform and Load process. In this process, Natural Language Processing is carried out, focusing on Sentiment Analysis tasks, applying an automatic classification model (Multinomial Naive Bayes) and then an automatic thematic categorisation of these texts depending on the words they contain. Subsequently, the data is analysed, calculating a global online reputation index based on sub-indexes of perception on different tourism aspects. These ratings are shown to users through an interactive dashboard, which allows comparison between different queries associated with a tourist location and a temporal period. This research helps tourism agents to better understand the public perception about destinations and make appropriate and well-informed decisions in real time, facilitating the intelligent management of data that enables the creation of smart tourism destinations with competitive, unique and sustainable advantages.

Savings and Credit Cooperatives in Ecuador play a very important role in the socioeconomic development of communities, productive associations and other niches that are not financially served by traditional private banks, both national and foreign. In fact, the financial inclusion of productive and consumer units in the rural sector - above all - depends on the economic and financial sustainability of these entities. In this context, it is important to know how profitable cooperatives are in Ecuador, identifying those factors, internal and external, that explain such profitability; for this reason, this article aims to analyze the relationship between internal factors such as liquidity, management and solvency indicators; and external factors such as inflation and real GDP with the profitability of cooperatives, segment I, measured through the Return On Equity (ROE). Using econometric techniques, it is found that the country's production level and the generalized price level as external factors, maintain a statistically significant relationship with respect to the ROE of the cooperatives.

Nowadays, Fintech firms are making the most of new technologies to expand and improve financial services, displacing traditional financial companies in some cases. These Fintech firms are playing an increasingly relevant role, not only in the economic and financial sphere, but also in the stock markets, as they have become an attractive investment alternative. However, our knowledge of these companies’ stock performance is still limited. In this context, the aim of this study is to analyse the return and risk associated to investing in the FinTech companies comprising the Nasdaq Financial Technology index as well as the return and risk associated to investing in traditional financial companies comprising the Standard & Poor’s 500 Financials index. The study is completed by analysing the results of a zero-cost investment strategy based on buying shares in FinTech companies and selling shares in traditional financial companies. This allows us to analyse whether there are significant differences between the two types of investment. Our overall results show that the risk-adjusted return, as well as the systematic risk, are conditioned by the state of the economy in both types of investment and that the significant differences in investment style boil down to the fact that traditional companies are value firms. Meanwhile, fintech firms have greater capacity for growth in the stock market. These findings provide relevant information for current research on Fintech firms in comparison to traditional financial firms. Moreover, these findings can be used by investors for their trading strategies

This study attempts to assess the Merit Order Effect (MOE) in Spain during the last decade 2011-2021, this is, the impact of renewable energy sources (RES) in electricity prices. Moreover, it analyses the effects of market concentration on prices and the interaction between the MOE and market power. The topic is significantly relevant at the time of writing for a number of reasons, including the expected growth of RES in Spain, the spectacular recent rise in electricity prices and the oligopolistic nature of the Spanish electricity sector. This study finds that there exists a MOE in the Spanish electricity market that reduces the price of electricity by 0.0029€/MWh for an additional solar MWh and by 0.0023€/MWh for an additional wind MWh. Moreover, it is found that market power increases electricity prices substantially. As the crucial result of this study, it is shown that the MOE can be limited and reduced by market concentration. This last point is particularly relevant because it demonstrates that the MOE does not only depend on RES supply itself, but also on the competitiveness of the market. Consequently, policymakers and competition regulators should strive to make the electricity market more competitive if the economic benefits of the energy transition are to be fully realised by the general public.

The use of quantitative tools to analyse the huge amount of qualitative information has been acquiring increasing importance. Market participants and, of course, Central Banks have been involved in this trend. The vast majority of qualitative data can be qualified as non-structured and refers mainly to news, reports or another kind of texts. Its transformation into structured data can improve the availability of information and hence, decision making. This article applies sentiment analysis tools to text data in order to quantify the impact of COVID-19 on the analysts’ opinions. Using this methodology, it is possible to transform qualitative non-structured data into a quantitative index that can be used to compare reports from different periods and countries. The results show the pandemic worsens banking sentiment in Europe, which coincides with higher uncertainty in the stock market. There are also regional differences in the decline in sentiment as well as higher divergence is observed across opinions.

In a historical time when feminism is the order of the day, male reconciliation is an issue of vital importance to achieve gender equality. After a review of the Spanish legislation on work-life balance, path modeling will be used as the statistical tool to analyze the factors that may influence men who, despite having the facilities to do so, do not work-life balance in Spain.

Reducing inequality is the tenth of the seventeen Sustainable Development Goals (SDGs). In the commitment to this goal, it is worth asking what work can be carried out by local administrations. To this end, public spending by local councils in 2015 and its relationship with the Gini index in 2015 and four years later, in 2019, is evaluated. It shows a strong correlation between inequality in 2015 and its decrease in 2019, which makes it difficult to interpret some variations. Culture, Education and Sport correlate with lower inequality, measured either as the Gini Index or as the percentage of the population with income per consumption unit below 5,000 euros.

This paper analyzes the persistence of the Fear of Floating hypothesis, developed by Guillermo Calvo and Carmen Reinhart, in Mexico during two crises: the financial crisis of 2008-2009 and the more recent one called the Great Confinement crisis, 2020-2021 (Reinhart, 2000; Calvo and Reinhart, 2000; 2002). Based on this hypothesis it is shown that Mexico after the instability generated by these crises experiences an endemic case of Fear of Floating.

This study aims to examines the dynamic effects of economic performance on credit ratings in Egypt during the period (1996-2018) consisting of quarterly observations for each variable. The study adopted the ARDL bounds testing approach to establish these relationships which showed that there exists a positive short run and long-run relationship between the credit rating, (GDP) growth domestic product and (FDI) foreign direct investment, while there are significant negative relationships in both short and long run between budget deficit, external debt, exchange rate and the credit rating. This result implies that GDP, FDI, foreign reserve and budget deficit are essential macroeconomic variables that influence the economic performance and the credit rating in Egypt.

The paper addresses and delves into the importance of green finance in achieving the sustainable development goal (SDGs) in this decade of action. This paper focuses on the concerns of green finance post Covid-19 and the challenges which India faces in accomplishing its 2030 agenda. The World Bank and the International Monetary Fund (IMF) have already highlighted the importance of green finance in realizing SDGs. Research has recognised the role of finance in achieving the SDGs is indisputable, but few studies analyse the role of green finance in addressing this issue. This paper is an attempt to fill the research gap by examining the link between the green finance and SDGs considering the impact of the pandemic. The paper examines the initiatives in green finance in India and also the challenges faced. The paper identifies the role of both public and private sector in the advancement of green finance. This paper holds a great deal of practical implications and policy recommendations to public and private sector, banks, government, green investors and policy makers