scholarly journals Technological progress, structural change and productivity growth in the manufacturing sector of South Korea

2004 ◽  
Vol 1 (1) ◽  
pp. 37 ◽  
Author(s):  
Lakhwinder Singh
Keyword(s):  
Structural Change ◽  
South Korea ◽  
Productivity Growth ◽  
Technological Progress ◽  
Manufacturing Sector

Structural Change and the Role of Demand

2021 ◽  
pp. 95-112
Author(s):  
Ricardo Azevedo Araujo ◽  
Joanílio Rodolpho Teixeira
Keyword(s):  
Economic Growth ◽  
Structural Change ◽  
Productivity Growth ◽  
Technological Progress ◽  
Structural Changes ◽  
Supply And Demand ◽  
Supply Side ◽  
Demand Side ◽  
Sector Model

Structural economic dynamics is an approach that provides insights into the process of structural change, offering a synthesis between traditional supply and demand views of economic growth, with the supply side characterized by technological progress and the demand side driven by the Engel’s law. However, adequately considering structural change requires a framework for more fully accounting for the role of demand, and not leaving it as merely exogenous. With this inquiry dimensions of endogenous patterns of demand are selectively embedded in a Pasinetti multi-sector model, thus rendering structural changes endogenous. This stream of research provides a more inclusive and comprehensive panorama of the role of demand for structural change, connecting the evolving patterns of the demand with productivity growth.

Productivity Growth, Structural Change and Informality: The Case of Russia

2015 ◽  
pp. 30-61 ◽  
Author(s):  
I. Voskoboynikov ◽  
V. Gimpelson
Keyword(s):  
Structural Change ◽  
Productivity Growth ◽  
Labour Productivity ◽  
Alternative Methods ◽  
Industry Effects ◽  
Labour Productivity Growth ◽  
Russian Economy ◽  
Negative Effect ◽  
Total Labour

This study considers the influence of structural change on aggregate labour productivity growth of the Russian economy. The term "structural change" refers to labour reallocation both between industries and between formal and informal segments within an industry. Using Russia KLEMS and official Rosstat data we decompose aggregate labour productivity growth into intra-industry (within) and between industry effects with four alternative methods of the shift-share analysis. All methods provide consistent results and demonstrate that total labour reallocation has been growth enhancing though the informality expansion has had a negative effect. As our study suggests, it is caused by growing variation in productivity levels across industries.

scholarly journals Mechanisms of Environmental Regulation’s Impact on Green Technological Progress—Evidence from China’s Manufacturing Sector

2021 ◽  
Vol 13 (4) ◽  
pp. 1600
Author(s):  
Weijiang Liu ◽  
Mingze Du ◽  
Yuxin Bai
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Technological Change ◽  
Environmental Protection ◽  
Technological Progress ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
The Sustainable Development ◽  
Biased Technological Change ◽  
Chinese Manufacturing Industry

As the world’s largest developing country, and as the home to many of the world’s factories, China plays a crucial role in the sustainable development of the world economy regarding environmental protection, energy conservation, and emission reduction issues. Based on the data from 2003–2015, this paper examined the green total factor productivity and the technological progress in the Chinese manufacturing industry. A slack-based measure (SBM) Malmquist productivity index was used to measure the bias of technological change (BTC), input-biased technological change (IBTC), and output-biased technological change (OBTC) by decomposing the technological progress. It also investigated the mechanism of environmental regulation, property right structure, enterprise-scale, energy consumption structure, and other factors on China’s technological progress bias. The empirical results showed the following: (1) there was a bias of technological progress in the Chinese manufacturing industry during the research period; (2) although China’s manufacturing industry’s output tended to become greener, it was still characterized by a preference for overall CO2 output; and (3) the impact of environmental regulations on the Chinese manufacturing industry’s technological progress had a significant threshold effect. The flexible control of environmental regulatory strength will benefit the Chinese manufacturing industry’s technological development. (4) R&D investment, export delivery value, and structure of energy consumption significantly contributed to promoting technological progress. This study provides further insight into the sustainable development of China’s manufacturing sector to promote green-biased technological progress and to achieve the dual goal of environmental protection and healthy economic growth.

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.

Sign in / Sign up

Export Citation Format

Share Document