International Journal of Management, Accounting and Economics
Volume:9 Issue: 3, Mar 2022

Efficient marketing will prosper the actors in each marketing agency, producers and consumers. Efficiency will be created if marketing costs can be minimized so that the percentage of producer prices to consumers is not too large, and there is no gap in the profit ratio to marketing costs between marketing agencies. The study aims to analyze marketing efficiency of tangerines and siamese in Gadingkulon Village. Data were collected from 87 citrus farmers who were selected by simple random sampling. Traders were determined by snowball sampling, consist of 17 collectors, 5 wholesalers, and 7 retailers were selected. Data were edited in the field, tabulated, compiled, then presented in tabular form, analyzed and described. The results showed that tangerines and siamese in Gadingkulon Village had an imperfect competitive market structure which was monopolistic. Marketing of the two types of oranges involves four channels i.e. collectors, retailers (inside and outside Malang Regency), and wholesalers. Oranges marketing system is not yet efficient, where wholesalers have larger profit margin ratio than other market players. Marketing channels I and II for tangerines are more efficient than channels III and IV. Meanwhile, marketing channel I for siamese is more efficient than channel II, III, and IV.

Robi Axiata Limited (Robi)—a multinational cellphone operator—got the nod for the ever-biggest initial public offering (IPO) from Bangladesh's regulatory body on 14 October 2020. The IPO process ended on 24 December 2020 through its debut on the country's two stock exchanges. Based on both primary and secondary data, this study intends to depict the 23 years strategic journey of Robi till its IPO. Robi's IPO was oversubscribed by 5.75 times compared to its counterpart telecom giant Grameenphone by 3.5 times. Beyond the most common motive of settling the loan, network expansion was the only motive for Robi's IPO. The IPO enabled the company to reduce its corporate tax and create a positive brand image among stakeholders. Before the IPO, rebranding from AKTEL into Robi and its merger with Airtel were two major turning points. The merger contributed significantly to the company's market share and overall performance, which ultimately led the company to raise the largest-ever amount from the capital market through IPO.

Oranges are favored by consumers, especially during pandemic covid-19, because they contain high vitamin C. Gadingkulon Village, located in Dau District, Indonesia, is one of the largest oranges producing villages. Mainstay plantation commodities of the village are tangerines and siamese. Agricultural commodities generally fluctuate in price and production. The study’s purpose was to evaluate feasibility of farming tangerines and siamese. Data were collected from 87 farmers who grow both types of oranges. Farmers were selected by simple random sampling, where the number is determined using slovin formula. The data were analyzed using investment criteria of revenue cost ratio, benefit cost ratio, break event point for price and production, payback period, net present value and internal rate of return. The results show that tangerine and siamese farming were feasible to develop because investment criteria number exceeds some criteria. Payback period is less than five years, price and production break event point were lower than that received by farmers, net present value is relatively large and positive, rate of return on capital is higher than social opportunity cost of capital. Oranges farming was feasible yet, even though prices have fallen by 10% and production by 30%. Siamese were more profitable than tangerines.

Russia and Ukraine are in a war, with the former invading the latter. This puts the latter under great stress, many have died in the process and many more have been displaced and many more have fled from Ukraine. This has resulted in intervention in many time series related to Ukraine. For example, the time series of the daily exchange rates of Ukrainian Hryvnia (UAH) and United States Dollars (USD) experienced an intervention on the first day of Russian incursion. By Box and Tiao (1975) approach, a realization of the time series from 1 January 2022 to 15 March 2022 is analyzed. The intervention model arrived at is found adequate. It can be the basis for management and planning.