scholarly journals Identification of key problems of the manufacturing industry in the region based on the analysis of fixed assets (on the example of the Vologda oblast)

Author(s):  
Irina Demchenko

Целью исследования стало выявление ключевых проблем предприятий обрабатывающей промышленности, связанных с использованием основных фондов в производственном процессе. Информационную базу составили данные Федеральной службы государственной статистики и её территориальных органов. Анализ опирался на общенаучные (дедукция, сравнение, анализ, синтез) и экономико-статистические методы (средних величин, элементарные методы обработки расчётных данных, индексный метод). В качестве объекта исследования, характеризующегося высоким удельным весом обрабатывающих производств в промышленности региона, была выбрана Вологодская область. В ходе анализа изучены такие показатели, как наличие основных фондов, степень их износа и обновления, фондоотдача, фондоёмкость, фондовооружённость и фондорентабельность, коэффициент соотношения темпов роста объёмов выпуска и инвестиций в основной капитал и показатель экономии или перерасхода основных средств. По итогам анализа были выявлены проблемы высокого уровня изношенности средств производства на фоне высокой потребности в их модернизации и недостаточной инвестиционной активности предприятий в направлении обновления основных фондов. В рамках повышения эффективности их использования были предложены мероприятия по активизации инвестиционных процессов в отрасли, предполагающие создание инфраструктуры внедрения инноваций, открывающей возможности перехода региона с сырьевой направленности к выпуску высокотехнологичной продукции. Кроме того, были упомянуты традиционные пути решения возникшей проблемы, связанные с ускоренной заменой неэффективного оборудования и устранением производственных простоев. Научная новизна статьи состоит в применении более точных модификаций привычных в финансовом анализе показателей, позволяющих сделать вывод о ключевых проблемах, препятствующих расширенному воспроизводству основных фондов обрабатывающей отрасли региона. Ключевые слова и словосочетания: основные фонды, обрабатывающая промышленность, Вологодская область, методика анализа, инвестиционная активность.

2019 ◽  
Vol 23 (4) ◽  
pp. 24-42
Author(s):  
N. M. Abdikeev ◽  
Yu. S. Bogachev ◽  
S. R. Bekulova

The article considers investment in fixed assets of the manufacturing industry as one of the main factors of its development. The manufacturing industry is shown to be the growth driver of national economy for developed and developing countries. The analysis of exports and imports of the first 15 countries in the ranking in terms of gross domestic product calculated at purchasing power parity (GDP at PPP) shows the leading role of the manufacturing industry in the global economy. At the same time, competitiveness in the global market is determined by high-tech products. Therefore, for the sustainable development of the Russian economy, it is necessary to create investment conditions for the advanced development of high-tech segments of the manufacturing industry. However, the current structure of investments in fixed assets contributes to the development of such services sector segments as “Transportation and storage”, “Real estate operations”. In the structure of investments in fixed assets, the largest share belongs to investments in buildings and structures, and intellectual property items account for no more than 10%. It is shown that the lack of investment resources is the main reason for the reduction (by 1.5 times) of the contribution to the value added of the manufacturing industry in Russia, production of machinery and equipment. This leads to an increase in dependence on imports, a fall in the share of products from high-tech sectors. To analyze the development potential of manufacturing industries, the authors introduced an indicator of investment intensity per 100 rubles of shipped industrial products. It was determined that enterprises with a joint Russian and foreign form of ownership lead in terms of investment intensity. At the same time, private enterprises, leading in terms of output, demonstrate weak investment activity. The low investment attractiveness of high-tech manufacturing sectors is shown. The regional structure of the manufacturing industry was analyzed. There is a high level of regional concentration of the manufacturing industry in Russia. At the same time, the authors show its relatively weak significance in the structure of the gross regional product in the majority of the constituent entities of the Russian Federation. It has been proposed to develop a program at the federal level for the advanced development of production in the high-tech and medium-technology high-level sectors for 10–15 years. It is proposed to create a supradepartmental executive authority to manage this program.


2015 ◽  
Vol 5 (2) ◽  
pp. 1-5
Author(s):  
Muhammad Akhtar ◽  
Najeeb Zada ◽  
Irfan Ahmad ◽  
Nazim Zaman

Subject area Accounting, Finance, Human Resource Management and Marketing. Study level/applicability BBA, MBA, MS, PHD. Case overview Leasing or borrowing and buy decisions are very crucial in the industrial era. Every company does not possess sufficient resources to meet their investing needs. The leasing options have provided a decent way to congregate fixed assets requirements in manufacturing industry. This case mainly focuses on the dynamics of business survival. Expected learning outcomes To be able to evaluate the different financial and marketing options available with the company. Understand the relevance of the theory of diversification as applied to financial and production aspects; be able to evaluate the leasing, borrowing and buying options that are available in financing of fixed assets; understand the disclosure requirements in the financial statements according to International Accounting Standards (17); be able to evaluate marketing strategies including pricing options, product diversification, reaction to competition and innovation; and consider human resource policy decisions at times of change including cost-cutting measures. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email [email protected] to request teaching notes.


2021 ◽  
Vol 16 (2) ◽  
pp. 123-141
Author(s):  
Zona Atasa Azizah Sabna ◽  
Sartika Wulandari

This research aimed to analyze the factors affecting tax aggressiveness. The variables used were leverage, intensity of inventory, intensity of fixed asset, profitability, and liquidity. The approach used was quantitative with secondary data sources obtained from annual financial reports on the Indonesia Stock Exchange (IDX). The population of this research were 53 manufacturing industry companies listed on the Indonesia Stock Exchange (IDX) in the 2017-2020 period using the purposive sampling method. Based on the purposive sampling method, 84 samples were obtained from 21 manufacturing industry companies listed on the IDX for the 2017-2020 period. The data analysis technique in this research used panel data with the Eviews Program as a tool. The results obtained indicated that the factors affecting tax aggressiveness were the variable intensity of fixed assets and profitability. This research states that the intensity of fixed assets has a negative and significant effect on tax aggressiveness, while profitability has a positive and significant effect on tax aggressiveness. Meanwhile, the factors that have no effect on tax aggressiveness are the variables of leverage, intensity of inventory, and liquidity.


2021 ◽  
Vol 2021 (2) ◽  
pp. 1-8
Author(s):  
Corneliu Russu

The article deals with the main aspects of the materialization of foreign direct investment (FDI) made in the component activities of the manufacturing industry in tangible and intangible fixed assets (TIFA), that serve the development of productive processes in those activities. Starting from the idea that for manufacturing activities the importance of each of the two categories of fixed assets varies depending on the specifics of each activity, the analysis reveals the existence of significant differences between the materialization of FDI in TIFA in these activities and the gross value added generated by them, as well as between the stock of tangible assets realized by FDI and the total value of TIFA registered in the manufacturing activities. The conclusion of the analysis is that the TIFA made by FDI substantially improved the quality of the productive apparatus of the manufacturing activities and, implicitly, their productivity and competitiveness; the activities with the greatest benefits in this regard were Machinery and equipment, Means of transport, Computers, electronic, optical and electrical products, and Crude oil processing, chemical products, rubber and plastics.


2021 ◽  
Vol 1 (93) ◽  
pp. 79-91
Author(s):  
Oleksiy Okhten ◽  
◽  
Alla Dasiv ◽  

The article analyzes production functions, investigates the features of the Cobb-Douglas function in its multiple variations. On the basis of the analysis carried out, as well as the practical needs of modeling the production systems, the necessity of modeling the production function with the account for the change in the output of production factors over time, is substantiated. As well as with the account for the factor of the modern industrial revolution, characterized by the digitalization of manufacturing. An approach to the development of a function is proposed, which takes into account the change in the output of production factors over time in the context of digitalization. The corresponding production function was modeled based on the example of the manufacturing industry over 2000-2019 in Germany, which is a country that is among the first to introduce modern technologies, including digital ones. The results of modeling the value added using the production function with and without the account for the change in the weight coefficients of the factors over time are presented. It was found that adding the correction factors that define the change in weight coefficients for the factors of the production function over time increased the accuracy of the calculations. Also, a decrease in the resulting (after taking into account the coefficient change over time) exponent coefficient was revealed in the digitalization factor and its increase in the factor of fixed assets involved in the production process (the cost of machinery and equipment) – the output on fixed assets increases annually, and the output of the digitalization factor decreases by about the same extent. It was found that since the relative output of digitalization decreases over time, if there is a need to achieve growth in output through digitalization, it has to be carried out at a growing pace, that is, investments should increase over time. In addition, the earlier investments are introduced, the greater the effect they will give. When modeling the sectors of the Ukrainian economy, it’s advisable to use correction coefficients calculated based on the German data, rather than calculate them based on past periods on the basis of Ukrainian data. From the point of view of practical calculations, this is justified not only by the belated repetition of the technological development processes of developed countries by developing ones (that is, Ukrainian enterprises are introducing the same technologies, but with a delay of 5-10 years or more), but also by the greater relevance of German statistics to the needs of modeling.


Sign in / Sign up

Export Citation Format

Share Document