scholarly journals Untapped export opportunities of Serbian economy after a decade of investment and export based growth model

2021 ◽  
Vol 69 (3-4) ◽  
pp. 273-288
Author(s):  
Jasna Atanasijević ◽  
Duško Vasiljević ◽  
Zoran Nikolić ◽  
Olivera Pavlović
Keyword(s):  
Manufacturing Industry ◽  
Production Capacity ◽  
Electrical Equipment ◽  
Low Complexity ◽  
High Tech ◽  
Embedded Devices ◽  
Financial Reports ◽  
Economic Complexity ◽  
Transfer Of Technology ◽  
Limited Scale

Relying on the economic complexity and product space approach developed by Hidalgo and Haussmann [21], and using trade data, exporters' financial reports and available macroeconomic statistics, we try to assess the degree of transformation of structure and production potential of the Serbian economy over the last decade. We argue that although the overall economic complexity, as a decent predictor of higher economic growth, did slightly improve over the observed period, there is still large untapped potential in local knowledge and know-how. FDI inflow into manufacturing industry, as the most important factor of the transformation of the production structure and size of the economy, has contributed to growth in employment and export, improving the macro stability. On the other side, its contribution to the higher growth outlook by improving the production capacity was limited as FDI inflow has been directed mostly into low and medium-low technology industries with low complexity products. Moreover, it seems that the vertical spillover through linkages with local suppliers and transfer of technology, knowledge and practices could also be larger. In the same period, some positive developments of limited scale yet are reflected in emergence of a certain number of high-tech industries' products with high complexity, most likely produced by SMEs, such as electrical equipment, lighting, various software embedded devices, etc.

Development Model of Engineering Manufacturing and its Application

2014 ◽  
Vol 1006-1007 ◽  
pp. 386-389
Author(s):  
Ying Hong Yu
Keyword(s):  
Manufacturing Industry ◽  
Time Series Data ◽  
Production Capacity ◽  
Economic Modeling ◽  
Series Data ◽  
High Tech ◽  
Network Training ◽  
Modeling And Forecasting ◽  
Practical Engineering ◽  
Forecasting System

In recent years, with the continuous improvement of production capacity, manufacturing industry restructuring and achieved great results, significantly increased the proportion of high-tech industries, some traditional industries has continued to decline. Manufacturing is the material basis of our national economy and the main industry, which largely determines the level of development of comprehensive national strength. This has brought great difficulties to the economic modeling and forecasting system. This paper presents an improved modeling and forecasting methods, recombinant methods by introducing chain data and add data growth economic indicators in an artificial neural network training, the time series data input window to solve practical engineering problems forecasts.

scholarly journals A Framework for Assessing Green Capacity Utilization Considering CO2 Emissions in China’s High-Tech Manufacturing Industry

2020 ◽  
Vol 12 (11) ◽  
pp. 4424 ◽  
Author(s):  
Ya Wang ◽  
Jiaofeng Pan ◽  
Ruimin Pei ◽  
Guoliang Yang ◽  
Bowen Yi
Keyword(s):  
Industrial Development ◽  
Manufacturing Industry ◽  
Production Capacity ◽  
Capacity Utilization ◽  
High Tech ◽  
Eastern Region ◽  
Low Carbon ◽  
Assessment Framework ◽  
Industrial Transformation ◽  
Green Capacity

China’s high-tech manufacturing industry has become the mainstay of the country’s domestic industrial transformation and upgrading. However, in recent years, the industry has experienced huge blind expansion under policy stimulus, which is not good for long-term industrial development. Therefore, this article attempts to explore the extent to which such an important and critical industry in China utilizes its production capacity and provides a basis for future policymaking. Coupled with the country’s increasing emphasis on the green and low-carbon development of the industry, this article extends the green and low-carbon thinking based on capacity utilization, namely green capacity utilization (CU). On this basis, the study empirically investigates the green CU of the high-tech manufacturing industry in 28 provinces in mainland China from 2010 to 2015. In performing the investigation, the inputs were divided into (quasi-)fixed and variable inputs, and an assessment framework was established based on the data envelopment analysis (DEA) method. Moreover, optimal variable inputs are also available as by-products within the assessment framework. The results were as follows: First, China’s high-tech manufacturing industry showed an excellent overall performance in green CU. Moreover, half of the provinces were at fully utilized capacity, and half were under-utilized. On average, there was a slight deterioration in green CU. Second, the results showed regional differences. The western region had the highest green CU followed by the middle and northeastern regions, and the eastern region had the lowest green CU. Third, regarding the optimal variables inputs, the total amount of labor in China’s high-tech manufacturing industry met the demand, but the distribution was uneven. Fourth, the scale of traditional energy consumption needs to be reduced both in individual provinces and in general. These conclusions have implications for the formulation of policies to promote the green development of China’s high-tech manufacturing industry.

Production capacity of Russian industry: Potential of import Substitution and economic Growth

2015 ◽  
pp. 5-24 ◽  
Author(s):  
B. Zamaraev ◽  
T. Marshova
Keyword(s):  
Economic Growth ◽  
Import Substitution ◽  
Production Capacity ◽  
Current Level ◽  
High Tech ◽  
Industrial Growth ◽  
Russian Industry ◽  
Technological Modernization ◽  
Capacity Structure ◽  
Idle Capacity

The article examines the state of production capacity of Russian industry. It is shown that in spite of certain positive shifts, the rate of technological modernization in recent years has been insufficient for marked progressive changes in the capacity structure and quality. In contrast to the industrial growth after the crisis of 1998 that took place in the presence of significant reserves of capacity, the current level of idle capacity is much lower. The lack of mass input of modern and high-tech industries objectively limits the possibilities of import substitution and economic growth.

Artificial Intelligence as a Technological Innovation to Accelerate Economic Development

2019 ◽  
Vol 12 (3) ◽  
pp. 125-133
Author(s):  
S. V. Shchurina ◽  
A. S. Danilov
Keyword(s):  
Artificial Intelligence ◽  
Economic Development ◽  
Technological Innovation ◽  
Manufacturing Industry ◽  
New Technologies ◽  
Retail Trade ◽  
High Tech ◽  
Industrial Complex ◽  
Technological Gap ◽  
The Government

The subject of the research is the introduction of artificial intelligence as a technological innovation into the Russian economic development. The relevance of the problem is due to the fact that the Russian market of artificial intelligence is still in the infancy and the necessity to bridge the current technological gap between Russia and the leading economies of the world is coming to the forefront. The financial sector, the manufacturing industry and the retail trade are the drivers of the artificial intelligence development. However, company managers in Russia are not prepared for the practical application of expensive artificial intelligence technologies. Under these circumstances, the challenge is to develop measures to support high-tech projects of small and medium-sized businesses, given that the technological innovation considered can accelerate the development of the Russian economy in the energy sector fully or partially controlled by the government as well as in the military-industrial complex and the judicial system.The purposes of the research were to examine the current state of technological innovations in the field of artificial intelligence in the leading countries and Russia and develop proposals for improving the AI application in the Russian practices.The paper concludes that the artificial intelligence is a breakthrough technology with a great application potential. Active promotion of the artificial intelligence in companies significantly increases their efficiency, competitiveness, develops industry markets, stimulates introduction of new technologies, improves product quality and scales up manufacturing. In general, the artificial intelligence gives a new impetus to the development of Russia and facilitates its entry into the five largest world’s economies.

The Information Content of Royalty Income

2004 ◽  
Vol 18 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Feng Gu ◽  
Baruch Lev
Keyword(s):  
Information Content ◽  
Intangible Assets ◽  
High Tech ◽  
Patent Licensing ◽  
Financial Reports ◽  
Quarter Century ◽  
Steep Increase ◽  
The Past ◽  
Corporate Growth

The rise of intangible assets in size and contribution to corporate growth over the past quarter century was accompanied by a steep increase in the rate and scope of patenting. Consequently, many patent-rich companies, particularly in the science-based and high-tech industries, are extensively engaged in the licensing and sale of patents. We examine various valuation and disclosure aspects of the outcome of patent licensing—royalty income. Our findings indicate the following: (1) royalty income is highly relevant to securities valuation, (2) the intensity of royalty income provides investors with an important signal about the quality and prospects of firms' R&D expenditures, and (3) a substantial number of companies engaged in patent licensing do not disclose royalty income in financial reports.

scholarly journals The Role of Internal Control in Firms’ Coping with the Impact of the COVID-19 Pandemic: Evidence from China

2021 ◽  
Vol 13 (11) ◽  
pp. 6294
Author(s):  
Peiqing Zhu ◽  
Jianbo Song
Keyword(s):  
Internal Control ◽  
Manufacturing Industry ◽  
Firm Heterogeneity ◽  
Negative Impact ◽  
Risk Prevention ◽  
High Tech ◽  
Obvious Effect ◽  
The Difference ◽  
The Impact

Internal control plays a role in risk prevention for firms when dealing with serious emergencies, which ensures the sustainable development of firms during a crisis. Based on the rapid outbreak of COVID-19 in China, this paper empirically tests whether internal control alleviates the negative impact of the pandemic on firm performance. Using a sample of Chinese listed firms from the first quarter of 2019 to the third quarter of 2020 and employing the difference-in-difference (DID) method, we find that the firms with a higher quality of internal control achieve better financial performance during the pandemic period; the more serious the pandemic is, the more obvious effect internal control plays. Furthermore, we consider the industry heterogeneity and firm heterogeneity of the risk resistance effect of internal control. In the manufacturing industry, which is a “disaster zone” of the pandemic, and the non-high-tech industry with a low degree of digitization, internal control can play a more important role in firms’ performance. Moreover, for state-owned enterprises, and firms with strong financing constraints, the role of internal control is more prominent. The above results provide empirical evidence for the risk prevention function of internal control and shed new light on the measures for firms to resist emergencies in the future.

scholarly journals Dynamics of Business Models in Industry-Wide Collaborative Networks for Circularity

2022 ◽  
Vol 8 (1) ◽  
pp. 3
Author(s):  
Aleš Krmela ◽  
Iveta Šimberová ◽  
Viktorija Babiča
Keyword(s):  
Manufacturing Industry ◽  
Business Models ◽  
Research Strategy ◽  
Collaborative Networks ◽  
Abstract Concept ◽  
Manufacturing Companies ◽  
Legitimacy Theory ◽  
Dynamic Changes ◽  
Financial Reports ◽  
Quantitative Content

Incumbent B2B manufacturing companies join forces and form collaborative networks, called consortia, aiming to increase the circularity of their products. Our research interest lies in the understanding of how the business models (BM) of the companies and the industry are affected by such collaborations in the collaborative networks of the circular economy (CE). Given the exploratory nature of our empirical research, we applied a mixed research strategy of an inductively deductive nature. We carried out case studies in a manufacturing industry field and combined them with quantitative content analyses of the companies’ financial and non-financial reports. Drawing on the assumptions of the Attention-Based View Theory and Legitimacy Theory, we defined and found verbally communicated identifiers of BM elements, CE strategies, and collaborative networks, quantified their occurrences, and transformed them into variables. Using correlation analyses, we determined the tightness and the changes in relationships between the BMs’ elements and CE strategies. We examined the dynamic changes in the structure of BMs and their elements occurring within the implementation of selected CE strategies. Our findings suggest that collaborative networks for CE support an adaptation of the industry’s BMs. The higher-level CE strategies impact the BM more than the lower-level ones. The contribution of our research is in the suggested method of quantification and concretization of an abstract concept of BMs’ elements and their interrelations. This enables an assessment and a direct comparison of BMs, as well as of implemented CE strategies across companies and across industries. Our results also shed more light on the way the companies and industries adapt their BMs towards reaching circularity, as well as on how collaborative networks support such a transition.

scholarly journals PEMBERDAYAAN EKONOMI MASYARAKAT MELALUI PROGRAM PKM UNTUK MENINGKATKAN KAPASITAS PRODUKSI PERMEN JELLY BUAH DAN JELLY SAYURAN DI KOTA MALANG

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Zainul Arifin ◽  
Istutik Istutik ◽  
Amir Kusnanto
Keyword(s):  
Financial Reporting ◽  
Financial Management ◽  
Raw Materials ◽  
Production Capacity ◽  
Online Marketing ◽  
Raw Material ◽  
Financial Reports ◽  
Dragon Fruit ◽  
Vegetable Raw Materials ◽  
Production Facilities

Candy is a snack that is loved by children and adolescents, because it tastes sweet, has a distinctive aroma and is affordable. Many types of candy both made from artificial ingredients and from natural ingredients. Specially soft and chewy jelly candy is much loved by young people.A businessman partner named Dian Falah Fitriyana, ST is located at Jl. Ikan Hiu II / 19 Tunjungsekar Village, Lowokwaru District, Malang City innovates by producing jelly candy from fruit raw materials (apple jelly candy and dragon fruit jelly candy) and made from vegetable raw materials (Moringa jelly candy and carrot jelly candy). As it is known that apples, dragon fruit and vegetable Moringa and carrots have many health benefits. Raw material for jelly candy is only taken from the juice and not added with preservatives.The purpose of the PKM program is to increase the production capacity of partner entrepreneurs and provide online marketing training, training and accounting assistance, so that partner entrepreneurs can make financial reports needed for a productive business.The problem of micro entrepreneurs in general is not being able to increase their production because of limited capital, which has the effect of not being able to add or replace their more modern production facilities. Marketing limitations and not doing financial records properly. The Community Partnership Program (PKM), which provides production support equipment and management improvements, will certainly increase production outputThe solutions offered by the PKM program to increase the production capacity of partner entrepreneurs are to provide juicers, sterilitators, sealers, digital scales, LPG ovens, containers, trays, containers. Meanwhile, to improve financial management and product marketing, the Team provides training and mentoring in accounting and marketing training. It is expected that partner entrepreneurs are able to make financial records (cash flow) and market their products through internet marketing.Partner entrepreneurs with the help of new equipment from the PKM program are targeting production to increase by 50% to 100%. This optimistic target is achieved due to juice, sterilitators, chopper machines, large ovens and more modern production facilities, entrepreneurs will be able to serve the demands of more consumers.The progress of PKM program activities has reached 70% of the target, but there are still activities to assist in making financial reporting and online marketing.

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