scholarly journals The impact of research and development activity on the TFP level in manufacturing in Poland

Equilibrium ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. 711-737 ◽  
Author(s):  
Elżbieta Roszko-Wójtowicz ◽  
Maria M. Grzelak ◽  
Iwona Laskowska
Keyword(s):  
Research And Development ◽  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
Value Added ◽  
High Tech ◽  
Factor Productivity ◽  
Development Activity ◽  
Manufacturing Enterprises ◽  
The Impact ◽  
The Relationship

Research background: The paper presents the issue of total factor productivity in the manufacturing industry in Poland. It has been assumed that total factor productivity (TFP) is a synthetic measure of efficiency of the production process and a measure of the impact of technical progress on the rate of economic growth. Purpose of the article: The main aim of the paper is to assess the differentiation in the level of total factor productivity (TFP) occurring among the Section C manufacturing divisions in Poland. In particular, the paper raises the issue of measuring and analysing the relationship between expenditure on research and development and the level of TFP in manufacturing divisions in Poland. Methods: In the presented research, the TFP level was determined by using the two-factor Cobb-Douglas production function, while econometric panel models were used to assess the studied relationship. Findings & Value added: The presented considerations show that manufacturing divisions in Poland are diversified in terms of total factor productivity. Generally, manufacturing divisions with high R&D intensity, i.e. divisions classified as so-called high-tech ones, are characterised by a high TFP level. The econometric analysis carried out allows us to conclude that expenditure on R&D incurred in manufacturing enterprises significantly affects the level of TFP.

scholarly journals KONSENTRASI SPASIAL, AGLOMERASI DAN PRODUKTIVITAS PERUSAHAAN INDUSTRI MANUFAKTUR INDONESIA

2021 ◽  
Vol 4 (2) ◽  
pp. 146-156
Author(s):  
Kusuma Wardani (Universitas Indonesia) ◽  
Muhammad Halley Yudhistira (Universitas Indonesia)
Keyword(s):  
Total Factor Productivity ◽  
Negative Impact ◽  
Positive Impact ◽  
High Tech ◽  
Factor Productivity ◽  
Localization Economies ◽  
Instrument Variable ◽  
Urbanization Economies ◽  
The Impact ◽  
The Relationship

AbstractThis study aims to analyze the impact of agglomeration in the form of localization economies and urbanization economies on the productivity of manufacturing industrial companies in Indonesia. Unlike previous studies, this study will look at the effect of technology level on the relationship between productivity and agglomeration by classifying research samples into low-tech and high-tech industries. In addition, this study also improves the estimation technique by addressing the endogeneity problem that has the potential to arise in estimating the relationship between productivity and agglomeration to be overcome by using instrument variable (IV). The study was conducted in two stages of estimation using company-level panel data from 2010 to 2014. First, productivity was measured at the company level using Total Factor Productivity (TFP). Then, the company productivity is estimated together with the company and industry characteristic variables, including the agglomeration measurement variable which represents localization economies and urbanization economies. The regression results show a positive impact from localization economies and a negative impact from urbanization economies.AbstrakPenelitian ini bertujuan menganalisis dampak aglomerasi berupa localization economies dan urbanization economies terhadap produktivitas perusahaan industri manufaktur di Indonesia. Berbeda dengan penelitian terdahulu yang juga meneliti dampak aglomerasi industri terhadap produktivitas perusahaan, pada penelitian ini akan melihat pengaruh tingkat teknologi terhadap hubungan produktivitas dan aglomerasi dengan mengklasifikasikan sampel penelitian ke dalam industri berteknologi rendah dan industri berteknologi tinggi. Selain itu, peneltian ini juga memperbaiki teknik estimasi dari penelitian sebelumnya dengan menangani masalah endogenitas yang berpotensi muncul dalam mengestimasi hubungan produktivitas dan aglomerasi akan diatasi dengan penggunaan instrument variable (IV). Penelitian dilakukan dalam dua tahap estimasi dengan menggunakan data panel level perusahaan dari tahun 2010 sampai 2014. Pertama, produktivitas diukur pada level perusahaan dengan menggunakan Total Factor Productivity (TFP). Kemudian, produktivitas perusahaan diestimasi bersama variabel karakteristik perusahaan dan industri, termasuk variabel pengukuran aglomerasi yang mewakili localization economies dan urbanization economies. Hasil regresi menunjukkan adanya dampak positif dari localization economies dan dampak negatif dari urbanization economies.

ASSESSMENT OF THE TECHNOLOGICAL TRANSFORMATION OF THE RUSSIAN MANUFACTURING INDUSTRY CONSIDERING THE DIGITAL FACTOR

2021 ◽  
Vol 5 (199) ◽  
pp. 44-53
Author(s):  
M.P. Kalinichenko ◽  
Keyword(s):  
Manufacturing Industry ◽  
Swot Analysis ◽  
Value Added ◽  
Subsequent Development ◽  
Digital Transformation ◽  
Added Value ◽  
Technological Transformation ◽  
Manufacturing Enterprises ◽  
Industrial Enterprises ◽  
The Impact

The purpose of the study is to assess the technological transformation of the manufacturing industry in Russia, taking into account the digital factor. The analysis of a set of methods that can be used to assess the impact of technologies on the digital transformation of economic systems (country, industry, region, industrial enterprise) is carried out; the results of a SWOT analysis of the Russian manufacturing industry for the medium term are presented (as an initial stage for the subsequent development of functional strategies of industrial enterprises-digital transformation, innovative, competitive, etc.); the results of a survey of experts on a sample of industrial enterprises of the Arkhangelsk region regarding barriers and prospects of digital transformation of manufacturing enterprises are summarized; an economic and mathematical model of the influence of production factors, including the digital factor, on the value added created by the manufacturing industry is developed. Based on the analysis and modeling of the formation of added value in the manufacturing industry, taking into account the contribution of each of the factors of production, a set of solutions is proposed, on the basis of which it is possible to give a new impetus to accelerate the digital transformation of the industry.

scholarly journals BIASED TECHNICAL CHANGE, INTERMEDIATE GOODS, AND TOTAL FACTOR PRODUCTIVITY

2011 ◽  
Vol 16 (2) ◽  
pp. 184-203 ◽  
Author(s):  
Alessio Moro
Keyword(s):  
Total Factor Productivity ◽  
Production Function ◽  
Technical Change ◽  
Value Added ◽  
Intermediate Goods ◽  
Factor Productivity ◽  
Aggregate Production ◽  
Tfp Growth ◽  
Aggregate Production Function ◽  
The Impact

In this paper I show that the intensity at which intermediate goods are used in the production process affects aggregate total factor productivity (TFP). To do this, I construct an input–output model economy in which firms produce gross output by means of a production function in capital, labor, and intermediate goods. This production function is subject, together with the standard neutral technical change, to intermediates-biased technical change. Positive (negative) intermediates-biased technical change implies a decline (increase) in the elasticity of gross output with respect to intermediate goods. In equilibrium, this elasticity appears as an explicit part of TFP in the value added aggregate production function. In particular, when the elasticity of gross output with respect to intermediates increases, aggregate TFP declines. I use the model to quantify the impact of intermediates-biased technical change for measured TFP growth in Italy. The exercise shows that intermediates-biased technical change can account for the productivity slowdown observed in Italy from 1994 to 2004.

New Evidence on the Relationship Between Economic Freedom and Growth: A Panel Cointegration Analysis for The Case of OECD

2012 ◽  
Vol 12 (3) ◽  
pp. 1850263 ◽  
Author(s):  
Ekrem Erdem ◽  
Can Tansel Tugcu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Economic Freedom ◽  
Global Financial Crisis ◽  
Oecd Countries ◽  
Cointegration Analysis ◽  
Factor Productivity ◽  
The Impact ◽  
The Relationship

The aim of this paper is to find a new answer to an old question “Is economic freedom good or not for economies?” which was refreshed after the Global Financial Crisis of 2008. For this purpose, the relationship between economic freedom and economic growth, and the relationship between economic freedom and total factor productivity in OECD countries were investigated by using panel data for the period of 1995-2009. Study employed the recently developed cointegration test by Westerlund (2007) and the estimation technique by Bai and Kao (2006) which account for cross-sectional dependence that is an important problem in the panel data studies. Although no significant relationship found between economic freedom and total factor productivity, cointegration analysis revealed that economic freedom matters for economic growth in OECD countries in the long-run, and estimation results showed that direction of the impact is negative.

scholarly journals Role of Servitization, Digitalization, and Innovation Performance in Manufacturing Enterprises

2021 ◽  
Vol 13 (17) ◽  
pp. 9878
Author(s):  
Lei Shen ◽  
Cong Sun ◽  
Muhammad Ali
Keyword(s):  
Manufacturing Industry ◽  
Dynamic Capabilities ◽  
Innovation Performance ◽  
Manufacturing Companies ◽  
Business Innovation ◽  
Manufacturing Enterprises ◽  
Enterprise Innovation ◽  
The Impact ◽  
The Relationship

The structure of the manufacturing industry has forced manufacturing companies to understand the importance of digitalization and servitization transformation, in terms of production and R&D. In this study, we examine the relationship between servitization, digitization, and enterprise innovation performance through the lens of dynamic capabilities within enterprises. We also discuss the impact of the transformation servitization strategy on business innovation, and the mechanisms by which it impacts business innovation performance. The study’s findings indicate that servitization significantly contributes to innovation performance, and digitalization acts as a mediating mechanism between the proposed relationships. Thus, this article argues for the integration and growth of servitization and digitization.

scholarly journals Bond Financing, Research and Development Input, and Total Factor Productivity

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Xing He ◽  
Mancang Wang
Keyword(s):  
Research And Development ◽  
Total Factor Productivity ◽  
Mechanism Analysis ◽  
Factor Productivity ◽  
Action Mechanism ◽  
The Relationship

From the angle of research and development (R&D) input, this paper analyzes how bond financing affects corporate total factor productivity (TFP). Based on the 2007–2019 data on listed enterprises, the influence and action mechanism of bond financing on corporate TFP were empirically examined. The results show that bond financing significantly boosts corporate TFP. The mechanism analysis reveals that bond financing promotes TFP by stimulating corporate R&D input. The research sheds new light on the relationship between finance and TFP from the perspective of bond financing and provides a reference for policymakers to boost corporate TFP by promoting bond financing.

Total Factor Regional Productivity in Greece

1994 ◽  
Vol 12 (4) ◽  
pp. 383-407 ◽  
Author(s):  
N Vagionis ◽  
N Spence
Keyword(s):  
Total Factor Productivity ◽  
Manufacturing Industry ◽  
New Technology ◽  
Returns To Scale ◽  
Value Added ◽  
Industrial Area ◽  
Productivity Change ◽  
Factor Productivity ◽  
Business Operations ◽  
Constant Returns To Scale

The components of productivity change in manufacturing industry over the regions of Greece in the 1980s are examined. Regional differences in productivity are significant in two respects. They reflect the outcomes of different production processes in space where labour is supplied and combined with various sorts of capital and where specific technologies are used. They also reflect opportunities for developing efficient business operations in space, in that they indicate one important aspect of a region's comparative advantage. Change in value added in manufacturing is represented by change in the factor inputs of capital, labour, and technology. Some of this change in output is accounted for by constant returns to scale. The rest is a result of variable returns to scale, such as produced by agglomeration economies or diseconomies, different levels of infrastructure provision, etc, and technological change. Total factor productivity represents these sources of nonconstant returns to scale. It is shown that for Greece the largest gains in total factor productivity are to be found in the noncentral regions, and especially in those having industrial area projects and industrial grants and incentives. These results are in line with research undertaken in other contexts. Those areas with the most significant productivity gains from the deployment of new technology tend to be the well-established centres housing medium-sized populations. There is some evidence to suggest that new employment opportunities are associated with increases in total factor productivity, although rarely with advances in the use of new technology.

Are human capital, intellectual property rights, and research and development expenditures really important for total factor productivity? An empirical analysis

2019 ◽  
Vol 46 (6) ◽  
pp. 756-774 ◽  
Author(s):  
Misbah Habib ◽  
Jawad Abbas ◽  
Rahat Noman
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Intellectual Property ◽  
Property Rights ◽  
Research And Development ◽  
Total Factor Productivity ◽  
Intellectual Property Rights ◽  
Factor Productivity ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to investigate the impact of human capital (HC), intellectual property rights (IPRs) and research and development (R&D) expenditures on total factor productivity (TFP), which leads to economic growth. Design/methodology/approach The panel data technique is used on a sample of 16 countries categorized into two groups, namely Brazil, Russia, India and China (BRIC) and Central and Eastern European (CEE) countries and, in order to make a comparison for the time period of 2007–2015, the researchers used a fixed effect model as an estimation method for regression. Findings The results indicate that HC, IPRs and R&D expenditures appear to be statistically significant and are strong factors in determining changes in TFP and exhibit positive results in all sample sets. Moreover, IPRs alone do not accelerate growth in an economy, especially taking the case of emerging nations. Originality/value Considering the importance of CEE and BRIC countries, and inadequate research on these regions with respect to current study’s variables and techniques, the present research provides valuable insights about the importance of HC, IPR and R&D activities and their impact on TFP, which leads to economic growth. IPRs create a fertile environment for R&D activities, knowledge creation and economic development. Distinct nations can attain better economic status via HC, R&D activities, innovation, trade and FDI, although the relative significance of these channels is likely to differ across countries depending on their developmental levels.

scholarly journals Environmental Regulation Intensity, Carbon Footprint and Green Total Factor Productivity of Manufacturing Industries

2022 ◽  
Vol 19 (1) ◽  
pp. 553
Author(s):  
Lei Wang ◽  
Yu Yan
Keyword(s):  
Environmental Regulation ◽  
Total Factor Productivity ◽  
Carbon Footprint ◽  
Manufacturing Industry ◽  
Economic Benefits ◽  
Manufacturing Industries ◽  
Green Economy ◽  
Chinese Government ◽  
Factor Productivity ◽  
The Impact

In terms of the development of the manufacturing industry, the Chinese government has carried out environmental regulations and set up production standards for related industries. This is an environmentally-friendly and economic action, which is also in line with the requirements of building a green economy for China. Meanwhile, whether from the micro regulatory measures or the macro government policies, carbon emission is an inevitable problem in the study of environmental problems. This paper will explore the impact of environmental regulation on the green economy based on carbon emissions and study the optimal environment regulation intensity that relates to a direct carbon footprint under the maximum green economic benefits. A SBM-MALMQUIST model is established to measure the green total factor productivity according to 27 Chinese manufacturing industries through the MAXDEA software. It is found that the intensity of environmental regulation has a significant impact on green total factor productivity, and direct carbon footprint also exhibits a partial intermediary effect, participating in the mechanism that affects green total factor productivity. Combined with the industrial characteristics and the above research results, this paper puts forward the adjustment strategy of reasonable environmental regulation for the manufacturing industry, which conforms to the national policy guidance, and will be beneficial in promoting the economic development of the green manufacturing industry.

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