Is there evidence of creative destruction in the Turkish manufacturing sector? Lessons from a cross-industry analysis of aggregate productivity growth

2004 ◽  
Vol 36 (17) ◽  
pp. 1937-1945 ◽  
Author(s):  
Mahmut Yaşar * ◽  
Roderick M. Rejesus ◽  
Ilhami Mintemur
Keyword(s):  
Productivity Growth ◽  
Manufacturing Sector ◽  
Creative Destruction ◽  
Aggregate Productivity ◽  
Industry Analysis

scholarly journals Formalization and productivity: firm-level evidence from Viet Nam

2020 ◽  
Author(s):  
Jann Lay ◽  
Tevin Tafese
Keyword(s):  
Productivity Growth ◽  
Manufacturing Sector ◽  
Viet Nam ◽  
Aggregate Productivity ◽  
Entry And Exit ◽  
Formal Sector ◽  
Policy Changes ◽  
Firm Level ◽  
Productivity Dynamics ◽  
Firm Entry And Exit

Using a firm-level panel dataset on private small- and medium-sized enterprises (SMEs) in Viet Nam’s manufacturing sector, this paper examines productivity dynamics of formal and informal firms. We decompose productivity changes into changes within and between formal and informal firms. We assess the contributions of firm entry and exit as well as informal–formal transitions. Our results show that productivity is considerably lower and misallocation more prevalent in the informal than in the formal sector. Yet, formalizing firms in Viet Nam make an important contribution to aggregate productivity growth among manufacturing SMEs, growing faster than other firms and increasing efficiency. We identify two ‘regimes’ of formalization. Until early 2010, more productive (previously) informal firms formalize. Policy changes and accelerated formalization then alter the characteristics of formalizers, as less productive firms become formal. While this formalization wave depresses average formal total factor productivity growth, the overall productivity effect is positive.

scholarly journals Productivity Dynamics and Rural Industrialization in India

2019 ◽  
Vol 32 (1) ◽  
pp. 23-46
Author(s):  
Takahiro Sato ◽  
Aradhna Aggarwal
Keyword(s):  
Panel Data ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Rural Areas ◽  
Manufacturing Sector ◽  
Aggregate Productivity ◽  
Factor Productivity ◽  
Rural Industrialization ◽  
Plant Level ◽  
Productivity Dynamics

Since the late 1990s, industrialization in India has been driven by the rural organized manufacturing sector. This paper examines the effects of firms’ dynamics on rural industrialization in India, using plant-level panel data, to investigate the characteristics of rural industrialization in India in recent years. In particular, the paper focuses on productivity differences among continuing, entering, and exiting firms. The results show that both labour and total factor productivity of the organized manufacturing sector in rural areas increased during 2000–2006 and the aggregate productivity growth is supported by the productivity growth of the continuing firms, the entry of productive firms, and the exit of less-productive firms. The paper can conclude that firms’ productivity dynamics contributed to the current rural industrialization in India. JEL: O14, O47, O53

scholarly journals Productivity growth and sectoral interactions under Domar aggregation: a study for the Brazilian economy from 2000 to 2014

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Theo Santini ◽  
Ricardo Azevedo Araujo
Keyword(s):  
Productivity Growth ◽  
Manufacturing Sector ◽  
Poor Performance ◽  
High Density ◽  
Aggregate Productivity ◽  
Intermediate Inputs ◽  
The Poor ◽  
Negative Role ◽  
Overall Performance ◽  
Productivity Gains

AbstractIn this paper, we use the Domar aggregation approach to study the evolution of Brazil’s productivity growth from 2000 to 2014, thus allowing us a disaggregated assessment of the issue. We found that the Brazilian economy’s overall performance is the outcome of a decrease in the economy’s density, as defined by the existing backward and forward connections amongst industries in intermediate inputs chains. It also can be explained by the poor performance of its sectors. Despite the relatively high density of the manufacturing sector, it performed a negative role concerning aggregate productivity growth both directly and indirectly. Directly insofar as that sector had negatives productivity growths during the period under consideration, and indirectly due to its high interconnection, which spread negative rather than positive productivity gains across the economy. Therefore, to improve the Brazilian economy’s poor performance, it is mandatory to restore the manufacturing sector’s capability to yield and spread productivity gains.

scholarly journals Productivity Growth and Sectoral Interactions under Domar Aggregation: A Study for the Brazilian Economy from 2000 to 2014

2020 ◽  
Author(s):  
Theo Santini ◽  
Ricardo Araujo
Keyword(s):  
Productivity Growth ◽  
Manufacturing Sector ◽  
Poor Performance ◽  
High Density ◽  
Aggregate Productivity ◽  
Intermediate Inputs ◽  
The Poor ◽  
Negative Role ◽  
Overall Performance ◽  
Productivity Gains

Abstract In this paper, we use the Domar aggregation approach to study the evolution of productivity growth in Brazil from 2000 to 2014, thus allowing us a disaggregated assessment of the issue. We found that the overall performance of the Brazilian economy can be explained not only by the poor performance of its sectors but also in terms of diminishing industrial density, with fewer backward and forward connections amongst industries in terms of chains of intermediate inputs. Besides, despite the relatively high density of the manufacturing sector, it performed a negative role concerning aggregate productivity growth both directly and indirectly. Directly insofar as that sector had negatives productivity growths during the period under consideration, and indirectly due to its high interconnection, which spread negative rather than positive productivity gains across the economy. Therefore, to improve the poor performance of the Brazilian economy, it is mandatory to restore the capability of the manufacturing sector of yielding and spreading productivity gains.

scholarly journals Intangible Assets and Labor Productivity Growth

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 82
Author(s):  
Carolina Hintzmann ◽  
Josep Lladós-Masllorens ◽  
Raul Ramos
Keyword(s):  
Labor Productivity ◽  
Productivity Growth ◽  
Intangible Assets ◽  
Manufacturing Sector ◽  
Intangible Asset ◽  
Labor Productivity Growth ◽  
Eu Member States ◽  
Different Types ◽  
European Economies ◽  
D Investment

We examine the contribution to labor productivity growth in the manufacturing sector of investment in different intangible asset categories—computerized information, innovative property, and economic competencies—for a set of 18 European countries between 1995 and 2017, as well as whether this contribution varies between different groups of countries. The motivation is to go a step further and identify which single or combination of intangible assets are relevant. The main findings can be summarized as follows. Firstly, all the three different categories of intangible assets contribute to labor productivity growth. In particular, intangible assets related to economic competences together with innovative property assets have been identified as the main drivers; specifically, advertising and marketing, organizational capital, research and development (R&D) investment, and design. Secondly, splitting the sample of European Union (EU) member states into three groups—northern, central and southern Europe—allows for the identification of a significant differentiated behavior between and within groups, in terms of the effects of investment in intangible assets on labor productivity growth. We conclude that measures promoting investment in intangibles at EU level should be accompanied by specific measures focusing on each country’s needs, for the purpose of promoting labor productivity growth. The obtained evidence suggests that the solution for the innovation deficit of some European economies consist not only of raising R&D expenditure, but also exploiting complementarities between different types of assets.

scholarly journals Characterizing the Difference between Indirect and Direct CO2 Emissions: Evidence from Korean Manufacturing Industries, 2004–2010

2018 ◽  
Vol 10 (8) ◽  
pp. 2711 ◽  
Author(s):  
Sinwoo Lee ◽  
Dong-Woon Noh ◽  
Dong-hyun Oh
Keyword(s):  
Carbon Emissions ◽  
Productivity Growth ◽  
Manufacturing Sector ◽  
Manufacturing Industries ◽  
Productivity Index ◽  
End User ◽  
Shipbuilding Industry ◽  
Industrial Sectors ◽  
Green Productivity ◽  
The Difference

This study measures and decomposes green productivity growth of Korean manufacturing industries between 2004 and 2010 using the Malmquist-Luenberger productivity index. We focus on differences in the measures of productivity growth by distinguishing carbon emissions from either end-user industries or the electricity generation industry. Empirical results suggest three main findings. First, the efficiency of total emissions is higher than that of direct emissions except for the shipbuilding industry. Second, green productivity in the manufacturing sector increased during the study period. Finally, green productivity depends on the indirect emissions of each industry. These results indicate that policymakers need to deliberately develop policy tools for mitigating carbon emissions of the manufacturing industrial sectors based on our empirical findings.

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