درخت حوزه‌های تخصصی

In light of recent price swings in oil and the need to reduce the country's dependency on the commodity, the government of Nigeria has implemented a number of reforms and initiatives to stimulate the non-oil sector of the economy, most notably the informal sector. Government financial support as interventions would have otherwise been a relief in changing the narrative of ugly financial accessibility of participants in the informal sector. The level of financial accessibility and its relationship to the economic performance of participants in the informal sector have been largely understudied. Therefore, the purpose of this research is to assess the shortcomings of current government interventions in the informal sector and to provide a viable financial intervention structure to address these issues. This research included both primary and secondary sources of information. Questionnaires were used to collect primary data from respondents. A total of 700 informal sector participant who are mainly SMEs operators, 300 registered and 400 unregistered, were chosen using a purposeful selection technique from the six states of Southwest Nigeria. Data was examined in two ways using SPSS: descriptive and inferential. Thus, the study showed the flaws of the past interventions, such as a faulty programme design, bias in the distribution of financing facilities, a lack of knowledge about the facilities, and convoluted procedures for gaining government funding support.

Making decisions regarding capital structure is among the most challenging issues ahead for firms and the most critical decisions for their survival. On the other hand, several significant aspects, such as behavioral factors, have been overlooked in this field. Thus, the present study mainly seeks to identify the factors affecting capital structure in Iranian firms, emphasizing the role of behavioral factors. The present study employs mixed qualitative and quantitative research methods. From the qualitative point of view, capital market experts were inquired, and theoretical saturation was achieved using the snowball method. After the interviews, research components were extracted through coding. The opinions of a group of experts and managers of firms listed on the Tehran Stock Exchange were used in the quantitative section, and a structural equation form was used to perform confirmatory factor analysis on the research model. A total of 63 concepts in the form of six categories were identified at the first stage, which was reduced to 58 in the form of six categories and was confirmed after the concepts were sent back to the experts. The principal components included behavioral factors, macroeconomic factors, political factors, socio-cultural factors, firm features, and corporate governance. Results were validated through factor analysis in the quantitative portion of the study. The present study can be considered among the comprehensive studies at the construct level with an integrated approach to firms' capital structure. The emergence of behavioral finance resulted from understanding the importance of measuring human behavior as a factor with transcendent consequences for financial decisions. Hence, most behavioral finance studies are focused on observable behaviors. However, the item response theory presents an integrated method for disciplines that work with cognitive variables. Accepting opportunities for new knowledge is essential for firm decisions to respond to the mental views of financial managers. The present study sought to identify the factors influencing firms' capital structure in Iran. The tool used in the present study reflected the elements making up the capital structure. In this regard, the notable point is how the classic criterion of structural capital components can explain financial managers' perception of decision-making. The research results in this area are interesting since we have confirmed a capital structure theory at the construct level. The conformity of the results and the obtained reliability levels indicate that this theory fits the given dimensions well. Moreover, relevant evidence indicates that senior financial managers adopt various states considering internal and external factors at the structural level, which can cause cognitive bias in decision-making.

Aging and its consequences have made population aging a major social issue. Aging populations are likely to exacerbate inequality by increasing the public and private financial burdens of social welfare costs. The goal of this study was to estimate the effects of aging on income inequality for 81 countries (37 developing and 44 developed) from 2000 to 2020. The study used a dynamic panel approach in a generalized method of moments (GMM) framework. This study's findings confirm a positive relationship between aging and income inequality in both developing and developed countries, and it demonstrates that the aging effect on income inequality is greater in developing countries than in developed countries. Furthermore, improving human capital, increasing per capita income, proper management, and use of total natural resource rents (% of GDP) in countries, and increasing trade between countries reduce income inequality, according to the findings of this study. Policymakers should reduce income inequality by investing in education, increasing per capita income, managing, and utilizing total natural resource rents (as a percentage of GDP), expanding trade with other countries, and planning for the effects of aging.

This paper attempts to compare a Markov-Switching Dynamic Stochastic General Equilibrium (MS-DSGE) model by including deep habits consumption to a MS-DSGE model without deep habits. It is concluded that the deep habit adjusted model with regime switching is able to fit the Iranian data better. The results of estimating parameters indicate that deep habit formation, together with the persistence of habit stock, are significant parameters. The results also confirm that current and future consumption demand, expected marginal cost and stock of habits are effective driving forces in extracted New Keynesian Philips Curve considering deep habits. However, in contrast with Ravn et al (2006, 2010) findings, it is shown that presence of deep habit consumption in the model for Iranian economy, cannot lead to reduce inflation in response to monetary shock while the amount of increase in inflation in response to monetary shock in the model with deep habit is less than inflation increase in model without deep habits. Furthermore, in response to fiscal shock in the model considering deep habits, the negative effect of wealth could not be compensated in Iranian economy. Therefore, consumption begins to decrease in response to fiscal shock, although these reduction in the model without deep habits takes more longer than in the model with deep habits.

The impact of health infrastructure on economic growth in the framework of endogenous growth models has been studied in a few research pieces; however, the impact of the Covid-19 pandemic on economic growth in the endogenous growth models has not yet been studied. The present article expands the existing pieces of literature in several ways. First, investigating the impact of the Covid-19 pandemic on economic growth in a steady-state situation. Second, identifying the threshold level of health infrastructure impact on long-term economic growth by considering the Covid-19 pandemic. Third, modeling of population dynamics and the Covid-19 pandemic. Fourth, modeling the level of following the protocols and public awareness of the Covid-19 pandemic and examining their impact on long-term economic growth. The developed model was calibrated using the information of a transition country, Iran. Results show If the health infrastructure is higher than the threshold level of 0.87, the output level will have an upward trend in the presence of the Covid-19 pandemic. Otherwise, the output trend will be downward. The increasing output could lead to the spread of the Covid-19 pandemic even in the long run in the Iranian economy. At a certain level of income, with the improvement of the health infrastructure, the level of Covid-19 pandemic release will decrease.