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

The realistic problem of the continuous downturn of Chinese residents' consumption has a long history. The tsunami like covid-19 has further worsened the consumption situation of the Chinese people. Using the questions and contents of the "Japan Household Panel Survey" (JHPS) questionnaire of Keio University, and taking the employment rate of other married women with the same income level in the same community as a tool variable, this paper empirically examines the impact of urban married women's employment on household consumption. The results show that the employment of married women in cities and towns significantly increases household consumption; Through the verification of the mechanism, it is found that the increase of total household income and the increase of marginal propensity to consume are important mechanisms for married women to obtain employment to promote urban household consumption, in which the increase of income plays a greater role in the improvement of low-income household consumption, and the increase of marginal propensity to consume plays a greater role in the improvement of high-income household consumption; The employment of married women has a positive impact on all kinds of household consumption, but it plays a greater role in promoting developmental consumption.

This study defines the cognitive structure of financial networks research by looking at the terms scholars have used over the last 31 years of research. Applying co-word analysis over a sample of 680 records extracted from Scopus database, the findings reveal that that the literature on financial networks is made up of six thematic clusters, these are: Dynamics of financial networks, Complex banking networks, Risk and contagion in financial networks, Topology and structure of financial networks, Main methodologies and techniques and Post-crisis responses. In addition to laying the groundwork for understanding financial networks through a retrospective view, this study shows how bibliometrics (especially co-words analysis) can contribute to reducing conceptual ambiguity in emerging research fields, such as financial networks research, and open doors for future research.

The objectives of this paper are to analyze the level of viability of the commercial olive farms in Spain, to assess the effects of production, market, and institutional future scenarios on their viability, and lastly, to determine which are the most relevant factors explaining their viability. The results reveal that almost 40% of the commercial olive farms in Spain have viability problems. This percentage of farms would increase notably if yields were reduced because of climate change, the low olive oil prices scenario was maintained, or the current support of the CAP was reduced. The main factors explaining the viability of these farms are related to farm productivity (average production per hectare and percentage of irrigation), CAP support (direct payments per hectare), and economical use of inputs (hired labor and subcontracting).

The study of responsible investments is a very popular topic in the field of finance. In our work we make a comparison between the Efficient Frontiers for responsible and traditional indexes of the Spanish and American markets. Our purpose is to be able to visualize the differences between the Frontiers to see if there is a homogeneous behavior among responsible investments and to check how much they differ from the results of traditional indexes.

The purpose of the study was to examine the relationships of different training load variables and wellness responses, with in-game basketball performance across playing positions (backcourt and frontcourt players). External load variables (e.g., total distance, accelerations, etc), internal responses (e.g., rate of perceived exertion [RPE]) and wellness status (e.g., Hooper index) were monitored during 7 consecutive in-season months on 15 professional male basketball players. Besides, game-related individual statistics (performance index rating [PIR], and player total contribution [PTC]) were used to assess the performance during competition. Although no positive relationship was found between training load variables and basketball game performance, some wellness questionnaire parameters were significantly associated to game-related individual statistics. In particular, we found that only competing against direct rivals, players that reported stable values of stress stability achieved significantly higher PTC and PIR scores than players with high variability in stress values (8.53 IQR [6.09, 14.8] vs 0.00 IQR [-0.46, 0.84], and 0.47 ± 0.40 vs 0.10 ± 0.50; respectively; P < 0.05). Similarly, players with variable values of stress managed to maximize PIR scores during losses compared to players that presented high variability in stress levels (0.42 IQR [0.27, 0.55] vs 0.00 IQR [-0.12, 0.37], P < 0.05). Regarding playing positions, backcourt players showed higher PTC scores compared to frontcourt players when the fatigue levels are stable during the microcycle (8.27 ± 5.75 vs 4.77 ± 4.42; P < 0.05). Because basketball teams tend to accumulate more backcourt players that frontcourt players, it would be advisable to control training load maintaining it stable and avoiding load spikes during microcycle to allow team performance optimization. In conclusion, the results suggest that the best performances during official competition are not associated with higher training external and internal loads. Nevertheless, the wellness status could provide useful information when assessing player’s training responses and approaching possible peak performance during basketball competition. This shows the necessity to assess basketball performance from a holistic approach and consider more than just physical and physiological parameters, such as decision-making and psychological capacities, to better understand player’s performance during basketball competition.

The aim of this study is to analyze the association between leverage and performance by using the size of the firm as a moderating variable by integrating the crisis 2007-2009. We used 3047 observations of non-financial firms belonging case of the peripheral countries of the Eurozone (Greece, Ireland, Portugal, Spain, and Italy) during 2003-2013. we find that the relationship between leverage and performance is negative and significant. Similarly, according to the different categories of firm size the result indicates the effect of leverage on corporate performance depend to by size of firm. The relationship is non-monotonic  . During financial crisis, the relationship between performance and leverage is negative for the very small and medium, firm, but positive for very large firm. Furthermore, the performance change has a negative and significant impact for all categories of firm size. Firms prefer self-financing to finance their operations . The large firms are more profitable because they have more resources, a better risk diversification, complex information systems and a better expenses management. Then, we mentioned that the performance of firms in the peripheral countries of the Eurozone will increase when there is strong economic growth through the higher investment opportunities. These firms have low liquidity because the higher investments in current assets tend to induce the maintenance costs and does not contribute to generate profitability.  

Internal audit is one of the essential responsibilities in the economic unit on which senior management and various departments and individuals rely as a source of high-quality data and information. As one of the parties responsible for internal control, the research aims to determine the importance of the internal auditor's involvement in establishing the internal control system through its supervisory and monitoring responsibilities. Also, developing more methods to reduce the risks and issues associated with the internal control system's failure. This study aims to demonstrate the role of internal audit in developing the internal control system in the economic unit by clarifying the relationship between internal audit and the internal control system, highlighting how internal audit can activate the internal control system and what the internal auditor's responsibilities are, and working on the periodic evaluation of the internal control system.  

To prevent counterfeiting, control supply, and ensure the legitimacy of asset transfers, e-currency makes use of cryptography. The primary focus is on the profitability and volatility of Bitcoin trading. The volatility of an investment can be estimated by calculating its standard deviation in terms of logarithmic returns. The researchers in this study employed the specific test to check for data normality. The results of a plot, a statistical process control chart, and other analyses all pointed to significant fluctuations. More and more people place a premium on uncertainty. Investors are wary of Bitcoin at the moment due to its extreme price swings. This research was conducted to provide a framework for achieving optimal returns with minimal exposure to loss on the part of investors.

Economic stability is the state or position in which the full employment of the available economic resources or what is known as the  gross domestic product possible is achieved and the occurrence of unemployment is avoided, up to the natural rate of unemployment and the avoidance of large changes in the general level of prices which it mean keeping inflation rates at controlled levels in light of Maintaining an appropriate real growth rate in real output. Therefore, economic policy and economic decision-makers in all developed and developing countries have attached great importance to this, and they have solid convictions of adopting macroeconomic policies to influence the specific variables that affect it to restore the economy to a state of balance and stability away from economic fluctuations.

Stochastic orders or stochastic dominance as they are known in Economics have been widely studied and applied in a variety of scientific fields, from Biology to Systems Engineering. However, to the best of our knowledge there is an application gap in the field of Sports Analytics or Sports Sciences. In this paper, we attempt a first approach to a possible application of stochastic orders to a dataset of LaLiga (Spain) football matches. Our aim is simply to show how a comparison can be extended beyond a simple metric comparison. In particular, we will focus on the first and second dominance stochastic orders as they are the most intuitive and simple to interpret and are also the most widely used in Economics.