scholarly journals Determinants of the Economic Vulnerability of Businesses to Pandemics and Similar Events

2021 ◽  
Vol 14 (11) ◽  
pp. 532
Author(s):  
Clement A. Tisdell

After providing a general overview of factors that make businesses economically vulnerable to pandemics (such as COVID-19), this article identifies specific elements that increase the vulnerability of businesses to pandemics. These specifics include the extent to which the demand for their production declines, how easy it is for them to reduce the costs of their production (cost escapability), the importance of disruptions or breaks in the supply chains of inputs utilized by businesses, and their ability to sustain their liquidity. Businesses that rely on personal contacts for sales are especially threatened, for example, those in the hospitality and tourism sector. However, others are also vulnerable for the reasons given. Nevertheless, some businesses do gain as a result of pandemics and similar events. Their economic gain adds to GDP. However, it could be more appropriate to regard their gains as a part of the cost of a pandemic rather than a benefit of it. The effect on the vulnerability of businesses if government policies designed to control pandemics is also considered. The main original contribution of this article is to show how the microeconomic theory of the firm can be adapted to conceptualize the vulnerability of individual businesses to pandemics, particularly COVID-19, while also noting the limitations of this approach.

2018 ◽  
Vol 4 (2) ◽  
pp. 43-55
Author(s):  
Ika Yulianti ◽  
Endah Masrunik ◽  
Anam Miftakhul Huda ◽  
Diana Elvianita

This study aims to find a comparison of the calculation of the cost of goods manufactured in the CV. Mitra Setia Blitar uses the company's method and uses the Job Order Costing (JOC) method. The method used in this study is quantitative. The types of data used are quantitative and qualitative. Quantitative data is in the form of map production cost data while qualitative data is in the form of information about map production process. The result of calculating the cost of production of the map between the two methods results in a difference of Rp. 306. Calculation using the company method is more expensive than using the Job Order Costing method. Calculation of cost of goods manufactured using the company method is Rp. 2,205,000, - or Rp. 2,205, - each unit. While using the Job Order Costing (JOC) method is Rp. 1,899,000, - or Rp 1,899, - each unit. So that the right method used in calculating the cost of production is the Job Order Costing (JOC) method


2020 ◽  
Vol 17 (2) ◽  
pp. 129-140
Author(s):  
D Damayanti ◽  
A I Jaya ◽  
Resnawati

ABSTRACT The purpose of this research is to obtain an the optimal production costs of Klappertart based on the basic ingredients comparing the production cost of Klappertart in Najmah Klappertart with production costs using the simplex method. The result showed that the optimal costs is ,-. This result is equal to the total cost of klappertart by SMEs Najmah Klappertart, so it can be concluded that the cost of production klappertart based on the basic ingredients on SMEs Najmah Klappertart were optimal. Keywords      : Optimal Cost, Basic Ingredients, Production Costs. (A-Z), Simplex Method  


2018 ◽  
Vol 5 (2) ◽  
pp. 134
Author(s):  
Luqman Arif Baihaqi ◽  
Imam Mas'ud ◽  
Yosefa Sayekti

This study aims to find out the system of business cost control of Tempe Sumber Mas. A Controling based difference between the calculation of the cost of production with cost of production of tempe using full costing. and This research uses Descriptive by Source and Technique Triangulation. The results of this study indicate that the cost control system used by the company is still simple and the calculation of the cost of production of tempe using full costing method is greater than calculate the total production cost used in the tempe production process. Keywords: Expense, Cost of Production, Full Costing, Cost Control


2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 20-20
Author(s):  
Micheal J Brouk

Abstract Dairy farm margin has continued to be a challenge for the dairy industry. Several years of challenging milk prices with limited relief from high feed costs and increasing production cost have continued to erode the net margin of US dairy farms. As dairy producers continue to operate in a challenging economic environment, discoveries are being made in various farm efficiencies to improve farm margin. Increased management intensity on all aspects of the dairy farm is resulting in the discover of and improvement of many individual efficiency factors. Key areas of economic efficiency include feed, animal reproduction, replacement animals, labor and resource allocation. Often the answer to improved efficiency involves more than just reduced production cost, but also in the improvement of production to reduce the cost per unit of milk produced. Identifying and focusing on the important factors that can improve overall farm efficiency will enable producers to weather the economic challenges. For dairy producers, one of the complications is the biology of the dairy cow and understanding how to utilize the biology correctly for improved efficiency of milk production. Improved efficiency of milk production requires attention to details in many areas of the dairy. Identifying the correct areas of deficiencies, establishing corrective plans of action and then careful evaluation of the impact of changes are all key to the overall success of improving dairy farm margins and efficiencies.


2019 ◽  
pp. 13-18
Author(s):  
Nadiia HRYSHCHUK

The article investigates financial stability as a qualitative characteristic of functioning of agricultural enterprises in modern conditions, the analysis of indicators of financial stability of the enterprise and determination of its type, as well as the effectiveness of forecasting the financial stability of agricultural enterprises. A number of measures is proposed, which is to reduce the cost of production (cost-saving strategy), which will allow agribusinesses to increase competitiveness in the market due to the introduction of new technology, technologies, more rational the use of both material and labor resources, reducing the proportion of fixed costs in the cost of production, in proportion to the increase in profits and competitive development of agricultural enterprises. The basic condition for ensuring the financial stability of the company is the formation of sufficient amounts of funds that enable them to fully fulfill their obligations to the budget, pay employees, creditors, suppliers.


2019 ◽  
Vol 4 (1) ◽  
pp. 28-42
Author(s):  
Suprianto Suprianto ◽  
Bina Andari ◽  
Yely Sulistyawati

This study aims to evaluate the calculation of cost of production. The accuracy of the calculation of cost of production is influenced by the suitability in the accumulation and calculation of production costs which includes the cost of raw materials, direct labor costs and other costs (factory overhead costs). This research was conducted at UKM UD. Usaha Baru which aims to determine the calculation of cost of production at UD. Usaha Baru and to find out whether the calculation of cost of production is in accordance with the full costing method. The technique (method) of data analysis used in this study is quantitative analysis. Data collection techniques use interview techniques directly to obtain information from the number of units of monthly production, raw material costs, direct labor costs, and factory overhead costs, as well as other information relating to the calculation of cost of production. Based on the evaluation results for the calculation of raw material costs and labor costs are in accordance with the full costing method. However, the calculation of factory overhead costs is not in accordance with the full costing method because there are costs that have not been included in the calculation of production costs.


scholarly journals The effect of changes in opportunity costs and prices of some agricultural products such as sugar beet, corn,wheat etc. used for bioethanol production on the cost of bioethanol production is not adequately known in Turkey.. Therefore, it was aimed to determine the bioethanol production cost items and unit production costs and also to put forth the effects of variations in raw material prices on cost of bioethanol.. The research data were collected via personal interviews from active bioethanol plants in Turkey. The results of previous studies and documents of related institutions and organizations were also used. The study followed classical cost analysis approach to calculate production cost. Scenario analysis was performed when exploring the effect of raw material prices on bioethanol production cost. Research findings showed that production cost per litre bioethanol produced from sugar beet molasses, corn, wheat and corn-wheat mixture were 2.50 TL, 2.84 TL, 2.95 and 2.84 TL, respectively. The share of raw material expenses in bioethanol cost per liter varied associated with the crops used in the process, it was 28.55% for bioethanol produced from sugar beet molasses, 44.81% for bioethanol produced from corn-wheat mixture and 44.87% bioethanol produced from corn. The research results also showed that the changes that occur in raw material prices significantly affected the bioethanol production cost and opportunity cost of crops created difficulties in biomass supply. Implementing the suitable policies and strategies and making the necessary arrangements in legislation would enhance the economic sustainability of bioethanol production in Turkey.

2017 ◽  
Vol 32 (1) ◽  
pp. 16-16
Author(s):  
Selime Canan ◽  
Vedat Ceyhan

2017 ◽  
Vol 2 (03) ◽  
pp. 23-31
Author(s):  
Imam Sulaiman

The objectives of this research are to: (1) To analyze the cost, income and income of chicken and chicken cattle in Bangu Harjo Village, Buay Madang Timur District, OKU Timur Regency, (2) To analyze whether broiler and joper cattle cultivated in Bangun Harjo Village, Buay Madang Timur Sub-district, OKU Timur Regency is beneficial, (3) To analyze break even point of broiler and joper livestock business in Bangun Harjo Village, Buay Madang Timur District, OKU Timur Regency. This research has been conducted in Bangun Harjo Village, Buay Madang Timur District, East OKU Regency. Site selection is done purposively with the consideration that in the village is able to represent from the existing population and have the criteria of research plan. Bangun Harjo village is a village whose majority population live as farmers and there are some farmers who seek the cultivation of super chicken (joper) and broiler (broiler). The study was conducted in June 2015. The study found that the total production cost incurred in the poultry livestock business in Bangun Harjo Village in one production process amounted to Rp 13,963,744, the average revenue was Rp 22,920,000 so that income Received amounted to Rp 8,956,256. The value of R / C ratio is 1.64 indicating that the chicken livestock business is profitable. The total production cost incurred in the broiler business in Bangun Harjo Village in one production process is Rp 30,609,006, the average revenue is Rp 54,676,250, so the income received is Rp 24,067,224. The value of R / C ratio is 1.79 indicates that the business of broiler livestock is profitable and BEP value of livestock production volume of chicken joper is 349 head, while the value of BEP price is Rp 24.569 / Tail and BEP value of broiler chicken production volume is equal to 2.017 Kg, while the BEP value of the price is Rp 8,496 / Kg which shows that the business of chicken and broiler cattle in Bangun Harjo Village is feasible financially.


Author(s):  
Maria Lachnidaki ◽  
Evangelos Grigoroudis ◽  
Constantin Zopounidis

Customer satisfaction measurement is an important and critical issue of all businesses in the tourism sector, since it gives a better understanding of the needs and requirements of tourists. The Kano model is one of the most widely used approaches in analyzing customer satisfaction, aiming to categorize the quality attributes of products/services in different quality dimensions. The main aim of this chapter is to analyze customer satisfaction from an agro-tourism farm and prioritize potential improvement actions. The preliminary analysis has identified a large set of customer satisfaction criteria that refer to the location, the personnel, the activities, the cost, and the “green” aspects of the agro-tourism farm. The MUSA method has been applied in the context of Kano's theory of attractive quality. The main results show which satisfaction criteria mostly affect satisfaction and/or dissatisfaction, identifying the strong and the weak points of the farm. Finally, combining the previous results, it is possible to prioritize improvement actions.


Processes ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 667 ◽  
Author(s):  
Avraam Roussos ◽  
Nikiforos Misailidis ◽  
Alexandros Koulouris ◽  
Francesco Zimbardi ◽  
Demetri Petrides

Renewable liquid biofuels for transportation have recently attracted enormous global attention due to their potential to provide a sustainable alternative to fossil fuels. In recent years, the attention has shifted from first-generation bioethanol to the production of higher molecular weight alcohols, such as biobutanol, from cellulosic feedstocks. The economic feasibility of such processes depends on several parameters such as the cost of raw materials, the fermentation performance and the energy demand for the pretreatment of biomass and downstream processing. In this work, two conceptual process scenarios for isobutanol production, one with and one without integrated product removal from the fermentor by vacuum stripping, were developed and evaluated using SuperPro Designer®. In agreement with previous publications, it was concluded that the fermentation titer is a crucial parameter for the economic competitiveness of the process as it is closely related to the energy requirements for product purification. In the first scenario where the product titer was 22 g/L, the energy demand for downstream processing was 15.8 MJ/L isobutanol and the unit production cost of isobutanol was $2.24/L. The integrated product removal by vacuum stripping implemented in the second scenario was assumed to improve the isobutanol titer to 50 g/L. In this case, the energy demand for the product removal (electricity) and downstream processing were 1.8 MJ/L isobutanol and 10 MJ/L isobutanol, respectively, and the unit production cost was reduced to $1.42/L. The uncertainty associated with the choice of modeling and economic parameters was investigated by Monte Carlo simulation sensitivity analysis.


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