Value Added Rate of High Carbon-loaded Manufacturing Sectors and Decoupling Index Dataset in 18 Economic Bodies (Countries and Regions)

GCdataPR ◽  
2020 ◽  
Author(s):  
Li MA ◽  
Lin ZHANG
2016 ◽  
Vol 16 (2) ◽  
Author(s):  
Fabrizio Coricelli ◽  
Aikaterini E. Karadimitropoulou ◽  
Miguel A. Leon-Ledesma

AbstractWe characterize the behavior of disaggregate manufacturing sectors for a large set of developed and emerging markets around recession dates. We uncover some relevant stylized facts. The dispersion in value added (VA) growth rates in developed economies is counter-cyclical, whereas for emerging countries it is pro-cyclical. Recoveries are more productivity-driven in developed countries as opposed to employment-driven for emerging markets. Around recession episodes sectoral-level misallocation of resources does not significantly change in developed economies, whereas it increases in emerging economies during financial crises. Therefore, there is no evidence that recessions improve the allocation of resources across industries.


2015 ◽  
Vol 20 (Sspecial Edition) ◽  
pp. 205-224
Author(s):  
Rajah Rasiah ◽  
Nazia Nazeer

The history of successful industrializers, such as South Korea and Taiwan, shows a systematic shift in the production structure from low- to high- value added activities in manufacturing and its resulting impact on agriculture, mining and services. Within manufacturing, the transformation is seen in both a movement from low-value added sectors, such as apparel making, to high-tech activities, such as automotive and electronics products, and, within particular industries, vertical integration into knowledge-intensive activities. Pakistan’s failure to engender the conditions to stimulate technological upgrading within its leading manufacturing industry of clothing, and a shift away to higher-value added industries is the prime reason why the country has not achieved rapid growth in GDP per capital over the long-term. This paper discusses Pakistan’s stagnation in manufacturing over the period 1960-2013 against the experience of the rapid industrializers of South Korea, Taiwan and Malaysia. Drawing on empirical evidence it argues that Pakistan requires a dynamic industrial policy that focuses on technological upgrading in its existing manufacturing sectors and the creation of competitive advantage in high value-added sectors if the country is to experience sustained long-term economic growth.


2018 ◽  
Vol 2 (4) ◽  
pp. 82 ◽  
Author(s):  
Adrián Rodríguez ◽  
Asier Fernández ◽  
Luís López de Lacalle ◽  
Leonardo Sastoque Pinilla

Many manufacturing sectors require high surface finishing. After machining operations such as milling or drilling, undesirable burrs or insufficient edge finishing may be generated. For decades, many finishing processes have been on a handmade basis; this fact is accentuated when dealing with complex geometries especially for high value-added parts. In recent years, there has been a tendency towards trying to automate these kinds of processes as far as possible, with repeatability and time/money savings being the main purposes. Based on this idea, the aim of this work was to check new tools and strategies for finishing aeronautical parts, especially critical engine parts made from Inconel 718, a very ductile nickel alloy. Automating the edge finishing of chamfered holes is a complicated but very important goal. In this paper, flexible abrasive tools were used for this purpose. A complete study of different abrasive possibilities was carried out, mainly focusing on roughness analysis and the final edge results obtained.


Equilibrium ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. 445-466 ◽  
Author(s):  
Magdalena Olczyk ◽  
Aleksandra Kordalska

Research background: A strong industrial base is essential for achieving long-term sustainable economic growth and export competitiveness. In that sense, manufacturing remains a significant contributor to exports in the CEE countries. How-ever, its role and its influence vary between CEE economies and change over time. Purpose of the article: The main objective of this paper is to compare the determinants of the international competitiveness, measured by the net exports of the manufacturing sectors in the Czech and Polish economies, by using the database of 13 manufacturing sub-sectors in 1995-2011. The authors research the question of how much foreign and domestic demand, the level of labour costs, the level of sector innovation intensity, the level of sector openness to foreign markets as well as sectoral labour productivity influence the changes in trade balance. Methods: Our approach is based on employing an error correction model and SUR model to disaggregated sectoral manufacturing data. Findings & Value added: The results of the analysis conducted show substantial differences in the roles particular variables play in explaining the net exports in individual sectors. For the majority of Polish and Czech manufacturing sub-sectors, generation of positive trade balance is determined by relative demand growth. An increasing labour productivity influences heavily a positive trade balance of Polish goods in majority of sub-sectors, however, a key factor in Czech sub-sectors is decreasing unit labour costs. The results of the analysis indicate mostly a greater impact of the researched factors on net exports in long rather than short term and the better capacity of the Czech economy to correct deviations from the equilibrium.


2021 ◽  
Vol 90 ◽  
pp. 01008
Author(s):  
Yaroslava Kostiuk ◽  
Kristína Korená

Globalization has accelerated the growth of innovation in many countries outside the European Union. In order to remain competitive, companies and individual EU economies therefore support the development of innovations through investments in research and development. This contribution is focused on the specification of value added in terms of investments in research and development in the construction and manufacturing sectors. Using statistics of the European Commission for the period 2013 – 2017, a dataset of 269,892 companies in the EU28 countries was generated. The purpose of this contribution is to determine to what extent investment in research and development participates in the creation of value added. A research question was formulated to determine the ideal ratio between value added and investment. Methods: To achieve the objectives set, regression analysis of neural networks was applied using Statistica software. The results of the research indicate that the optimal values in the construction sector were achieved by Great Britain (~EUR 11.3 billion.) and France (~EUR 16.1 billion), and in the manufacturing sector by France (~EUR 11.42 billion), Italy (~EUR 11.41 billion) and Great Britain (~EUR 10.6 billion). The authors consider the method of regression analysis and neural networks to be appropriate for examining the optimal ratio between investment in R&D and value added.


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