GROSS MARGIN AS A CATEGORY FOR EVALUATING THE EFFICIENCY OF PUBLIC SERVICE PROVISION

Contemporary management concepts in public organisations emphasize the adaptation and implementation of selected management methods tested in commercial sector organisations. They are used to improve the processes of providing public services and to ensure savings, especially in terms of the level of costs. One such instrument is variable cost accounting, which, through the gross margin value, allows to assess both the ability of an organisation to provide specific services and to ensure the widest possible range of services, as well as to identify those who are responsible for the functioning of selected responsibility centres. The study attempts to present an algorithm of conduct ensuring the effective use of variable cost accounting in the process of improving the operation of public organisations.

ONION PRODUCTION AND MARKETING SYSTEM IN BALOCHISTAN PROVINCE

In Pakistan, onion is one of the most grown commercial crops in the various parts of the country. The study was carried out through a primary data collection from various stakeholders to examine the status of onion production in Balochistan province. The average per acre cost of production, productivity, profitability, input output ratio were analyzed. Furthermore, find out the issues and constraints faced by onion growers and recommend policy guidelines for sustainable onion production and marketing in the study area. Costs have been broken down in a variable, fixed and opportunity costs (depreciation and opportunity) costs for production factors that are owned by the onion growers. While the variable cost was high from other costs, among them seed rate cost was high in the variable cost and in the lowest costs was recorded in chemical weedicide from other variable costs and fixed cost was nil due to relief from Balochistan government, whereas total cost of production and net income was Rs.82737 and Rs.75665 per acre respectively found in the study area. Majority 67% seed dealers were reported that due to high ratio of population, more consumable, good seed quality, more benefit, short duration of time and more production of onion as the principal reason for increase seed suppliers over the past 5 years. Onion farmers must follow best methods in management and strive to adopt scientific guidance from local and other available sources, for example research stations, progressive producers and extension workers.

Optimal fertilization dose in castor bean (Ricinus communis L.) using partial budgets analysis

Objective: To determine the economically adequate fertilization dose for a castor bean (Ricinus communis L.) crop that improves the producer's benefits using the partial budgeting technique. Design / methodology / approach: The experiment was established at a site located 500 m from the Centro de Chiapas experimental field, with an altitude of 800 m. Two production factors were studied: nitrogen (40, 60, and 80) and phosphorus (20, 40, and 60) with three levels each. The treatments had nine combinations in a randomized complete block experimental design and four replications. Phenological and morphological variables, seed yield, and variable costs economic components were evaluated as a response. Results: With the average yields the obtained net benefits were determined; an adjustment of the benefits was made, and its dominance was determined. Four experiments were dominated, and five showed favorable profits for the producer. The 80-60-00 formulation had a return rate (RR) of 23 %. Conclusions: The 40-20-00, 40-40-00, 40-60-00, 80-40-00 and 80-60-00 formulations were dominant. The 80-60-00 formulation reported the highest RR, an increase in variable cost of US$9.64, like other doses of lower costs and benefits. For this dose, the net benefits increase was us$ 222.61.

Profit bridges that disambiguate impacts of currency fluctuations from other marketing variables

We extend the normalized approach to constructing profit bridges proffered in a recent paper to examine the impact of currency exchange rate fluctuations within a multinational corporation. In doing so, we describe a profit bridge that would measure corporate performance distinct from that which would measure the performance of business units, including metrics for the impact of volume, price, variable cost, offering mix, and exchange rate changes.

China's Economic Situation, Response and Prospect under the Epidemic Situation

On the basis of the demand side and the supply side, the paper respectively analyzed how novel Coronavirus affected Chinese economy: the weak demand caused the demand curve to move to the left, equilibrium output decreased and equilibrium price decreased. Due to the reduction of labor costs, enterprises have the incentive to increase production capacity at the production end. However, when the price is lower than the average variable cost of enterprises, the number of bankruptcies in the society starts to increase. One of the immediate causes of the economic downturn caused by COVID-19, which led to GDP growth of -6.8% in the first quarter of 2020, is a lack of consumption. Therefore, it is suggested that the government can appropriately reduce consumption tax and issue consumption vouchers, to improve consumer confidence and increase output. The ARIMA model was used to predict economic growth for the next seven quarters.

Application of Multi-Attribute Decision-Making Methods for the Selection of Conveyor

In the present time of innovation, conveyor assume an exceptionally indispensable part and have huge significance for material handling in different enterprises. A conveyor is essentially utilized for moving any sort of material from one area to other. It is made with nearer precisions, hence the expense related with manufacturing is additionally high. In this manner, it should work with better productivity. The choice of the best conveyor is a crucial activity for designers. Designers need to recognize different variables that will influence the functionalities of the conveyor system to limit bottlenecks in the system. An efficient methodology should be accomplished for the conveyor selection. Subsequently, the current work aims to the selection process of the best option for conveyor by using four decision making methods such as analytical hierarchy process, technique of order preference by similarity to ideal solution, compromise ranking method and Deng’s similarity based method. The selection is done among four alternatives based on six attributes viz: fixed cost each hour, variable cost each hour, conveyor speed, product width, product weight and flexibility. The analytical hierarchy process is used to determine weights of the attributes based on relative importance of each attribute. It is also observed that A3 conveyor is best suitable conveyor. Hence the above proposed strategies help decision-makers to examine and choose the best conveyor by considering the rank obtained of the alternatives.

Methodological development for the optimisation of electricity cost in cement factories: the use of artificial intelligence in process variables

Cement factories require large amounts of energy. 70% of the variable cost goes to energy—33% to kiln thermal energy and 37% to electrical energy. This paper represents the second stage of a broader research study which aims at optimising electricity cost in a cement factory by means of using artificial intelligence. After an analysis of the different tools that could be highly useful for the optimisation of electricity cost, for which a systematic review of the literature and surveys and an expert panel of 42 professionals in the cement sector were carried out, a methodology was developed in order to reduce electricity cost by optimising not only different variables of the production process, but also regulated electricity costs and electricity market costs. Artificial neural networks and genetic algorithms will be the tools to be used in this methodology, which can be applied to any cement plant in the world, and, by extension, to any electro-intensive consumer. The innovation of this research work is based on the use of a methodology that not only combines two different variables at the same time—process variables and regulated prices—but also makes use of artificial intelligence tools techniques.

PENENTUAN HARGA POKOK PRODUKSI PADA PT. CENTRAL PROTEINA PRIMA, Tbk

The rapid growth of the business world is reasonable with fierce competition fornew and similar industries. This phenomenon requires companies in manufacturingto compete competitively as experienced by the animal feed industry, especiallyshrimp feed. Marketing of shrimp feed at the end of 2019 increased after decliningsince the first quarter of the third quarter. According to the head of the aquaculturedivision of the Association of Animal Feed Entrepreneurs (GPMT) Haris Muhtadi,the transmission occurred because of an outbreak of disease attacking shrimp andafter the outbreak ended, shrimp production began to compete again. There aremany ways that companies, especially those engaged in shrimp feed, do so. Startingfrom creating low prices to making brand variations with a certain quality measurethat is used as a price differentiator between these products. To get around this, thecompany must have the right strategy and policy, namely by paying attention to thecost of production of its products. The purpose of determining the cost of goodsmanufactured at PT. Central Proteina Prima, Tbk. This is to analyze the differencein cost of goods manufactured between the methods used by the company and thecost of goods manufactured with the full cost and variable cost methods. This studyuses a qualitative descriptive method and the data source is secondary data. Theresults of the study to determine the cost of production is the shrimp feed factory ofPT. Central Proteina Tbk Medan issued a production cost per kilogram of Rp.14.103.5. Meanwhile, the variable cost of the method according to the previoustheory, the value per kilogram is smaller, namely Rp. 14,049, with a difference ofRp. 54.5 per kilogram. If the company sets a price of Rp 19,745 per kilogram usingthe same method, then determining the cost of goods manufactured 0.5% is moreeffective using the theoretical variable cost method. This difference occurs becauseof the grouping of raw material costs and direct labor costs which affect factoryoverhead costs and the cost of goods manufactured.

Income and feasibility analysis of rice farming in Sub Watershed Keduang, Wonogiri Regency, Central Java

Wonogiri Regency has a topography of different areas; some areas are flat, wavy, steep, and very steep, making the condition of natural resources various. The livelihoods of most of the people who live around the Keduang Subwatershed are farmers, who cultivate agriculture in wetland, dry fields/gardens, and dry land. This study aimed to determine the income and feasibility of lowland rice farming in the Keduang subwatershed Wonogiri. The location and respondents’ determination method used in this research was purposive sampling. The number of respondent farmers taken in this study was 90 respondents from 3 districts in the Keduang subwatershed, Sidoharjo, Jatisrono, and Jatipurno districts. Data collection techniques were observation, interviews, and recording. The total cost of farming is IDR 20,773,581/Ha/Year with the average variable cost of IDR 19,807,381/Ha/year and the average fixed cost of IDR 966,200/Ha/year. The average revenue is IDR 29,464,858/Ha/year, and the average income is IDR 8,691,277/Ha/year. R/C ratio of 1.42 indicates that lowland rice farming is profitable and feasible to develop.