scholarly journals IMPACT OF TECHNOLOGY INVESTMENT ON FIRM’S PRODUCTION EFFICIENCY FACTOR IN MANUFACTURING

2020 ◽  
Vol 0 (0) ◽  
pp. 1-21
Author(s):  
Martina Novotná ◽  
Tomáš Volek ◽  
Michael Rost ◽  
Jaroslav Vrchota
Keyword(s):  
Production Efficiency ◽  
Positive Impact ◽  
Labour Productivity ◽  
High Technology ◽  
Medium Size ◽  
Manufacturing Companies ◽  
Labour Productivity Growth ◽  
Labour Intensity ◽  
Impact Of Technology ◽  
The Impact

The goal of this paper is to investigate the impact of technology investments on production efficiency in manufacturing companies and how different these relationships are for low-technology and high-technology companies. The empirical part was based on the analysis of 2,848 large, small and medium-sized Czech companies by using Bayesian networks (BNs). The results show that technological investments have the greatest positive impact on the growth of labour productivity and on a decline in labour intensity in low technology enterprises. The technological investments have a positive impact on labour productivity growth in high-technology enterprises, but at the same time, the technological investments have an impact on the increase of labour intensity. On the contrary, the influence of investment growth was insignificant on the indicators of material and services intensity. Technologically intensive investments have a different impact on small, mediumsized and on large enterprises. The reaction of large companies depends on the category of technology intensity in contrast to small and medium-size enterprises.

scholarly journals EFFECTIVENESS OF FDI, TECHNOLOGICAL GAP AND SECTORAL LEVEL PRODUCTIVITY IN THE VISEGRAD GROUP

2020 ◽  
Vol 0 (0) ◽  
pp. 1-26
Author(s):  
Kamil Makieła ◽  
Liwiusz Wojciechowski ◽  
Krzysztof Wach
Keyword(s):  
Economic Growth ◽  
Positive Impact ◽  
Labour Productivity ◽  
Technological Gap ◽  
Labour Productivity Growth ◽  
Sectoral Output ◽  
Effective Use ◽  
The Impact ◽  
Visegrad Group ◽  
Sample Heterogeneity

The objective of this paper is to investigate the impact of foreign direct investment (FDI) on economic growth and productivity in sectors of the Visegrad Group one decade after their accession to the EU. In order to account for sample heterogeneity, as well as productivity differences, we construct a generalized true random-effects model with varying efficiency distribution. We find that FDI has a positive impact on the Visegrad Group’s sectors and that its effectiveness depends upon the technological gap between the host and home economy. There are three sources of this positive impact: (i) sectoral output and labour productivity growth, (ii) more effective use of input factors, and via (iii) higher efficiency component of the total factor productivity (TFP). These sources form a three-way transmission mechanism through which FDI can impact economic growth conditioned upon FDI effectiveness due to the technological gap.

scholarly journals The Impact of Public Grants on Firm-Level Productivity: Findings from the Czech Food Industry

2019 ◽  
Vol 11 (2) ◽  
pp. 552 ◽  
Author(s):  
Ondřej Dvouletý ◽  
Ivana Blažková
Keyword(s):  
Production Efficiency ◽  
Economies Of Scale ◽  
Positive Impact ◽  
Labour Productivity ◽  
Control Sample ◽  
Growth Potential ◽  
New Production ◽  
Firm Level ◽  
Development Fund ◽  
The Impact

Studying the effects of public entrepreneurship and small- and medium-sized enterprise (SME) policies on productivity (i.e., technological efficiency) is important, because the investment policies primarily aim to reduce allocation inefficiencies, enable usage of economies of scale, promote new production methods and technological development. We reviewed the recently published studies, and we show that they often lack fundamental information, such as a sample description and numbers of supported and non-supported firms. Keeping in mind the importance of transparent and rigorous empirical evaluations, we evaluated the effects of investment support from the European Regional and Development Fund (ERDF) on the productivity of the firms operating in the Czech food processing industry two years after the end of the programme. Methodologically, we apply the propensity score matching approach (PSM) combined with a difference in differences approach (DID) based on the firm-level data accounting for 157 firms (i.e., 77.3% of all beneficiaries within the industry) and a control sample of 1224 firms that have not been supported by the intervention. We use three measures of productivity—production efficiency, labour productivity and total factor productivity (TFP). The obtained findings showed that investment subsidy had a positive impact on labour productivity of supported firms. However, the effects on TFP were negative. The impact on production efficiency indicator was proven to be inconclusive. It follows from the results that the productivity of subsidised firms did not improve through an internal increase in efficiency (efficiency of the use of inputs), which indicates no significant technological change. The subsidy decision-making processes should be more careful and transparent to ensure allocating resources only to the projects with growth potential.

scholarly journals Exports of Services, Output and Productivity Growth in Europe

2021 ◽  
Vol 9 (4) ◽  
pp. 209-219
Author(s):  
Maja Bacovic
Keyword(s):  
Productivity Growth ◽  
Fixed Effects ◽  
Positive Impact ◽  
Labour Productivity ◽  
Developed Countries ◽  
Gdp Growth ◽  
Business Services ◽  
Labour Productivity Growth ◽  
Gdp Growth Rate ◽  
The Impact

In this study, we analyse the impact of service exports on GDP and productivity growth in a sample of thirty-eight European countries for the period 2000-2019. Descriptive statistics analysis of the panel data shows that growth in exports of goods is more positively related to GDP growth, total fixed assets growth and productivity growth, while growth in export of services is more positively related to employment growth. In addition, the analysis shows that the volume of exports (in terms of its share in relation to GDP) of knowledge-intensive services (information and communication, other business services, intellectual property) is higher in more developed countries (measured as GDP per person). The pooled panel OLS model (fixed effects) with GDP growth rate and labour productivity growth as the dependent variables shows a positive impact on GDP growth of exports of services, although the positive impact of growth in exports of goods is higher. It applies to labour productivity growth, with a larger positive impact from exports of goods than services.

scholarly journals Impact of Irrigation Ecology on Rice Production Efficiency in Ghana

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
John Kanburi Bidzakin ◽  
Simon C. Fialor ◽  
Dadson Awunyo-Vitor ◽  
Iddrisu Yahaya
Keyword(s):  
Economic Efficiency ◽  
Production Efficiency ◽  
Positive Impact ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Rice Production ◽  
Cross Sectional ◽  
Rice Farmers ◽  
Effect Regression ◽  
The Impact

Irrigation production is a means by which agricultural production can be increased to meet the growing food demands in the world. This study evaluated the effect of irrigation ecology on farm household technical, allocative, and economic efficiency of smallholder rice farmers. Cross-sectional data was obtained from 350 rice farmers across rain fed and irrigation ecologies. Stochastic frontier analyses are used to estimate the production efficiency and endogenous treatment effect regression model is used to estimate the impact of irrigation ecology on rice production efficiency. The impact of irrigation ecology on technical efficiency is about 0.05, which implies farmers producing under irrigation ecology are more technically efficient in their rice production than those in rain fed production. The impact of irrigation ecology on allocative efficiency is about 0.33, which shows that farmers participating in irrigation farming are more allocatively efficient in their rice production than those in rain fed production. The impact on economic efficiency is about 0.23, meaning that farmers participating in irrigation farming are more economically efficient in their rice production than those in rain fed production. Irrigation ecology has positive impact on production efficiency; hence farmers should be encouraged to produce more under irrigation for increased yield and profit.

scholarly journals KOMITE AUDIT SEBAGAI PEMODERASI PENGARUH WORKLOAD DAN MASA PERIKATAN AUDIT PADA KUALITAS AUDITe

2016 ◽  
Author(s):  
Theresia Julina Rusli ◽  
I Dewa Nyoman Wiratmaja
Keyword(s):  
Audit Committee ◽  
Sampling Method ◽  
Audit Quality ◽  
Negative Impact ◽  
Positive Impact ◽  
Stock Exchange ◽  
Manufacturing Companies ◽  
Quality Audit ◽  
Final Sample ◽  
The Impact

This  research  aims to find empirical evidence  about the impact  of  workload  and  audit tenure  on  audit quality  and  using audit  committee  as  a  moderating  variable. This  research  focused  on  manufacturing companies  that  listed  on  the  Indonesia Stock Exchange. Sample was collected using   purposive sampling method and resulted 31  companies as a final sample.  The  data are analyzed by using Moderated Regression Analysis (MRA). The results of  this research indicate  that the  workload  has a negative  impact on  audit quality.  Audit tenure has a positive impact on audit quality. Audit committee reduces the negative impact of workload on audit quality. And audit committee reduces the positive impact of audit tenure on audit quality.

scholarly journals IMPACT OF INFORMATION TECHNOLOGY INVESTMENT TO FINANCIAL PERFORMANCE ON BANKING SECTOR

2018 ◽  
Vol 2 (1) ◽  
pp. 41-46
Author(s):  
Hendra Gunawan ◽  
Serlyna Serlyna
Keyword(s):  
Information Technology ◽  
Financial Performance ◽  
Banking Sector ◽  
Stock Exchange ◽  
Secondary Data ◽  
Sample Population ◽  
Manufacturing Companies ◽  
Financial Investment ◽  
Impact Of Technology ◽  
The Impact

This study examines the impact of technology on the performance of financial investment in banking companies listed in Indonesia Stock Exchange to prove its influence on the development of the banking company's financial performance. The data used in this research is secondary data uses financial statements that have been audited. Data analysis technique used is simple regression analysis. Results showed that between investments in information technology affect the company's financial performance. The results of this study illustrate that the company's financial performance would be if the investment in information technology in the company are used effectively and efficiently. This research is important for companies and organizations, in order to better the use or utilization of information technology in the enterprise. The company is only limited to the banking companies listed in Indonesia Stock Exchange, then further research is recommended to add criteria and indicator others that have not been addressed in this study, in addition to subsequent authors can also extend the sample population to another company with a different field such as manufacturing companies.

scholarly journals Digital Intellectual Capital of Russian Companies and its Impact on Financial and Innovation Performance

2021 ◽  
Vol 93 ◽  
pp. 05008
Author(s):  
Ilia Chernenko ◽  
Natalya Kelchevskaya ◽  
Irina Pelymskaya
Keyword(s):  
Intellectual Capital ◽  
Return On Investment ◽  
Customer Value ◽  
Positive Impact ◽  
Business Community ◽  
Russian Regions ◽  
Manufacturing Companies ◽  
Capital Theory ◽  
Regional Product ◽  
The Impact

The paper aims to investigate the level of accumulated digital intellectual capital and investments in digital transformation in the Russian regions and study its impact on the gross regional product and companies’ revenue, as well as on the innovative activity of companies. The study relies on the multiple regression method to find significant relationships between digitalization and performance indicators in 85 Russian regions and cities of federal significance. The originality of the approach used in this study lies in the development of the digital capital theory: the authors assess the impact of accumulated digital intellectual capital and investment on the performance of manufacturing and service companies and show the difference in return on investment between sectors. The results of the study show that though Russian regions are at the initial stage of the digital economy development, digitalization has a significant positive impact on the financial and innovative performance. Manufacturing companies primarily use structural capital to create customer value. Service-oriented companies also receive a positive return on investment in human and relational capital. The results obtained can be applied in practice by the business community to support investment decisions and analyse the processes of creating digital intellectual capital in companies.

The Role of Information and Communications Technology Inputs

2003 ◽  
Vol 184 ◽  
pp. 58-59 ◽  
Author(s):  
Mary O'Mahony
Keyword(s):  
Productivity Growth ◽  
Labour Productivity ◽  
The United States ◽  
Information And Communications Technology ◽  
Communications Technology ◽  
Labour Productivity Growth ◽  
Research Questions ◽  
The Impact ◽  
Role Of Information

The impact of recent advances in information technology on output and productivity growth has been one of the key research questions in the past few years. A consensus has emerged that the use of information and communications technology (ICT) capital has had a significant impact on aggregate economy-wide labour productivity growth through the capital deepening channel in the United States in the 1990s (see the discussion and references in the papers below). Evidence is also emerging of a delayed but nonetheless significant impact in European and other OECD economies. These findings have stimulated additional research using microeconomic data focusing on both the industry or company level.

scholarly journals Evaluation of Availability of Human, Scientific, Technological and Innovative Potential in the Context of Priorities in Scientific and Technological Development of the Russian Federation

2018 ◽  
pp. 460-479 ◽  
Author(s):  
Magomed Sh. Mintsaev ◽  
Irina E. Ilina ◽  
Svetlana L. Parfenova ◽  
Vladislava N. Dolgova ◽  
Elena N. Zharova ◽  
...  
Keyword(s):  
Russian Federation ◽  
Technological Development ◽  
Labour Productivity ◽  
Scientific Activity ◽  
Labour Intensity ◽  
Scientific Technical ◽  
The Russian Federation ◽  
Innovative Potential ◽  
The Impact ◽  
Scientific And Technological Development

Introduction. The implementation of priorities of the scientific and technological development of the Russian Federation involves an assessment of the trends in the development of human, scientific, technological and innovation potential within the framework of these directions. In modern conditions of transformation of science and technology into key factors of Russian development, it is necessary to provide the country’s economy with human resources capable of withstanding “big challenges”, but at this stage there is a shortage of highly qualified specialists in many key industries that can offer a new scientific result, taking into account the prospects for its application. The purpose of the article is to develop an approach to assess the human, scientific, technological and innovative potentials in the context of priorities in the scientific and technological development of the Russian Federation and its validation using the example of three priorities. Materials and Methods. The materials of this study draw on Rosstat and FSMNO ; Rospatent; Web of Science and Scopus. The object of research is to assess human, scientific, technological and innovative potential in the context of priorities in scientific and technological development of the Russian Federation. In the course of the research, a multiplicative model of the impact of the availability of human, scientific, technological and innovative capacity on labour intensity was developed. In the process of research, the following research and analysis methods were used: comparison, induction and deduction method, generalisation method, chain substitution method, logical structure study, system analysis, and special methods of statistical, comparative analysis. In the methodological plan, we used the system and process appro aches in the basis of the study. Results. The study revealed that the labour intensity in 2016 for all three priorities of the scientific and technological revolution of the Russian Federation has increased. Therefore, according to the priorities of the scientific and technological revolution of the Russian Federation, the availability of scientific, technological and innovative potential is not sufficient, which leads to a decrease in the reverse indicator of labour intensity - labour productivity in the markets within the framework of these priorities. Concerning the impact on labour intensity in all three priorities, one observes: the growth of “collaborations” in fundamental research, the applied effectiveness of scientific activity, “collaborations” of applied research; reduction in citations from scientific articles, low patent activity of engineering and technical workers, technological demand for patents. Therefore, against the background of emerging collaborative activity of actors in the process of research and development and the growth of the applied effectiveness of scientific activity, there is a low level of orientation of scientific and scientific-technical results to c ommercialisation. Discussion and Conclusions. On the basis of the multiplicative model developed by the authors for assessing the impact of the provision of human, scientific, technological and innovative capacities on labor intensity, it was tested on the example of the three priorities of the scientific and technological development of the Russian Federation (a, b, c). It was revealed that the labour intensity in 2016, according to the priorities of the Scientific and Technical Council of the Russian Federation, increased, and the availability of scientific, technological and innovative potential is not sufficient, which leads to a decrease in the inverse measure of labour intensity - labour productivity in high-tech markets within the framework of these priorities. Concerning the impact on labour intensity for all three priorities, it was revealed: the growth of “collaborations” of fundamental research, the applied effectiveness of scientific activity, “collaborations” of applied research; reduction in citations from scientific articles, low patent activity of engineering and technical workers, technological demand for patents. It was also revealed that against the background of the emerging collaborative activity of actors in the process of research and development and the growth of the applied effectiveness of scientific activity, there is a low level of orientation of scientific and scientific-technical results to commercialisation.

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