International Journal of Management, Accounting and Economics
Volume:7 Issue: 12, Dec 2020

Farmers in Sumberejo Village cultivate vegetables simultaneously during certain seasons on their land. This study aims to analyze potential for increased production vegetables during Covid-19 pandemic. Data collected from 45 randomly selected farmers were analyzed using Cobb Douglas production function. The analysis showed that land area had a very significant effect and positive on the production of celery, mustard greens and red chilies. Seeds did not have a significant effect on celery and mustard greens production, but had a significant effect on red chilies. Fertilizers did not have a significant effect on the vegetables yields. Labor had a significant effect in different directions on celery production (positive) and pakcoy (negative), but does not have a significant effect on red chili. Pesticides only had a significant effect and positive on celery, while the mustard greens and red chilies have no significant effect. During a pandemic, the expansion of production vegetables included in category increasing return to scale, because sum of input coefficients was greater than one. These results can be a signal for farmers to increase their production. Government should regulate distribution of these commodities and the prices stability because people must keep their distance.

The purpose of this paper is to investigate the long run relationship of Industrialization and Economic Growth in Pakistan. The time series data from 1976-2015 is used. The main source of data is World Development Indicator (WDI). Gross Domestic Product is used as dependent variable, while Industrial Output, Foreign Direct Investment, Saving and Inflation are used as the independent variables. The ARDL testing Approach has been applied on the data. After it, the stability of the function was tested by CUSUM. The results of ARDL bound testing reveals the long run association between industrial output and GDP. This study shows that an increase in Industrial Output increases the Gross Domestic Product in Pakistan. In the end, the stability of results is confirmed by CUSUM test.

This study intended to explore the IPO motives and the factors that contributed to IPO oversubscription in Bangladesh. Based on hand-collected data from 101 sample IPO prospectus during 2010–19, the study found an average of 10 IPOs per year, mostly (90%) through the fixed-price method. Among the sample companies, 34.7% were in the textile sector, followed by 17.8% in the engineering sector and 12.9% in the pharmaceuticals & chemical sector. This study observed an average subscription times of 23.41, which was much lower than in some other South Asian countries. Regarding the use of IPO proceeds, loan settlement was the prime motive, followed by capital expenditure, and working capital financing. Companies expensed around 6% of the total IPO proceeds as flotation cost. Although the detailed disclosure of the use of IPO proceeds in the prospectus is a common and expected feature, it was found absent in around 12% of companies. The logistic regression model found a statistically significant influence of lot size (LOT), post-IPO capital (PIC), and flotation cost (FTC) on oversubscription times (OST). The contribution of FTC to OST was a novel finding of this study. The study also found the absence of large and reputed domestic and multinational conglomerates in the listing through IPOs. Thus, the current study recommends regulators should take proper drives to customize and familiarize the book-building method, which can entice good companies for listing in stock exchanges through IPO.

The aim of this study was to investigate the effect of internal factors of the company on the Tobin's Q ration and the value of companies admitted in Tehran Securities Exchange Stock Exchange with the approach of structural equation modeling. In this study the effect of corporate governance, capital structure and profit sharing policy as internal variables on corporate value was investigated. This research is practical in terms of goal. Statistical population of the present study is the companies accepted in the Tehran Stock Exchange between 2012 to 2016. Among them, 161 companies were selected as sample through systematic elimination. After finding to fit the acceptable model of ‏ measurement and structure of the research, the results showed that internal variables have a positive effect on the Tobin's Q ratio. Among the internal variables, the return-sharing policy has the most impact on the Tobin's Q ratio. The Tobin's Q ratio can mediate the relationship between local variables and the corporate value.