درخت حوزه‌های تخصصی

Burundi, like other countries, invests in agricultural research and development. The adoption of the most productive varieties is one of the ways of increasing agricultural yields. Rice, because of its high productivity, is among the cereals which occupy an important place in the food security strategy in Burundi. This study aims to identify the effect of the adoption of this variety on the productivity of rice farmers. Using random sampling technique was used to select the respondents to fill the questionnaires, data were collected from 524 rice farmers spread across the five villages, namely Buringa, Murira, Nyeshanga, Ninga and Bwiza of the Gihanga commune in Bubanza, Burundi. The analysis of the determinants and the quasi-experimental method based on propensity score matching was used in the estimation of the results of the effect of adoption of the rutete variety on the productivity of rice farmers and estimate the results. The study found that the average rice yields for adopted and non-adopted farmers were respectively 9754 and 9912 kg/ha. Also, if non-adopting farmers decide to adopt the variety, their counterfactual rice yield would be 7931 kg/ha for adopters and for non-adopters reached 7927 kg/ha. The average effect of the treatment on the rice yield of the adopters was 1823 kg/ha and significant (p<0.01). The decision to adopt for non-adopting rice farmers could increase the average yield by 1984 kg/ha. The results imply the positive role of the adoption of the rutete rice variety on the performance of rice farmers in Gihanga. It is recommended that the government and research institutions involved in the agricultural sustainable development support rice farmers by increasing agricultural research innovation with the aim of increasing the yield of crops.

The function of social media and it's awareness and information can play a significant role in the changes in stock prices and investors' decision making. Fluctuation is an important measure of financial performance that reflects uncertainty or risk. In view of this, the present study investigated and analyzed the social media and the fluctuations of the Tehran Stock Market during the period of April 2011 to August 2021 using auto-regression model. The results show that the instantaneous reaction functions of the stock returns of active companies in the Tehran stock market to the changes in the social media, the number of shares of the companies, the infected and the dead of covid-19 were positive until the third and fourth periods, and after the mentioned periods of shock entered into the explanatory variables did not have an effect on the fluctuation of the companies' returns. Also, the results of the analysis of variance showed the high effects of the number of shares of the companies in the changes of the efficiency of the companies and the effect of social media in explaining very slight changes in fluctuations have been observed

This study's goal is to evaluate the financial resilience of Bangladesh's ceramics industry using the Altman Z-Score model. The nation's economy heavily depends on the ceramics industry, which also creates jobs and contributes to industrial output. Rapid expansion in both home and international markets makes the financial stability of the sector essential to the stability of the economy as a whole. Using a quantitative methodology, this study examines information from the fiscal years 2020–21 annual reports of five listed ceramics companies. For the first time in this industry context, the Altman Z-Score model reveals a significant portion of companies falling into the "Distress" zone, indicating a heightened risk of financial challenges. The results have real-world ramifications for investors, legislators, and stakeholders. They can be used to improve financial plans and encourage the expansion of sustainable industries. By addressing a significant void in the assessment of financial resilience within Bangladesh's ceramics industry, the study adds to the body of literature.

This study examined the extent to which stock returns can be explained by fundamental financial information. To this end, the accuracy of predicting future stock returns under conditions of mispricing stocks, including underpriced and overpriced stocks, was evaluated. The empirical results are based on a sample of 140 companies listed on the Tehran Stock Exchange during 2006-2022. The applied methodology is based on multivariate regression analysis of panel data. In particular, the six-factor models of Fama-French (2018), Nichols-Wallen-Wyland (2017), and Rhodes croft-Robinson-Viswanathan (2005) have been calculated to investigate the extent of explaining future stock valuation and returns. The results show that most of the changes in the stock valuation of the investigated companies are explained by using fundamental financial factors. Specifically, the results indicate that undervalued companies have earned higher stock returns in the coming year compared to overvalued companies. In other words, in undervalued companies, the stock return has increased in the following year, and in overvalued companies, the future stock return has decreased. According to the provided results, investors and stock exchange regulatory bodies are advised to more sensitively examine companies that have a lower rating of incorrect stock valuation based on the models introduced in this research.

The concept of corporate social responsibility holds that a business must prioritize triple bottom lines, which include monitoring social and environmental issues in addition to its financial performance. This study aims to examine the effect of company size, profitability, leverage, and industry type on social responsibility disclosure. This study uses secondary data in the form of annual reports of manufacturing companies in 2022 listed on the Indonesia Stock Exchange (IDX). The population in this study are manufacturing companies listed on the Indonesian Stock Exchange. The sample used was 137 annual reports obtained through the purposive sampling method. The analysis method used is multiple linear regression analysis using a significance level of 5% (0.05). Based on the results of the study it can be concluded that company size, profitability, and leverage have a significant effect on corporate social responsibility disclosure. While the type of industry has no significant effect on social responsibility disclosure.

The research has contributed extensively in the area of Good Governance and Supportive Work Culture since there was very limited study on their relationship from theories studied. But this research results achieved that because it’s been significant in the path model. There were several researches on Good governance and Job Satisfaction and, Supportive Work Culture and Job Satisfaction but not much is proving on Good Governance and Supportive Work Culture as the main research gap identified in the theoretical model. This research has confirmed that there is strong relationship between Good Governance and Supportive Work Culture. This result has showed that Good Governance effects Job Satisfaction through Supportive Work Culture partially mediated because Good Governance can have some direct effects to Job Satisfaction without Supportive Work Culture mediating since it is not a complete mediation. This is a scientific research paper with the aim to add findings knowledge to researcher fratanity.