scholarly journals Thirlwall’s Law and uneven development under Global Value Chains: a multi-country input–output approach

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Andrew B. Trigg
2018 ◽  
Vol 6 (4) ◽  
pp. 607-632 ◽  
Author(s):  
ZHEN ZHU ◽  
GREG MORRISON ◽  
MICHELANGELO PULIGA ◽  
ALESSANDRO CHESSA ◽  
MASSIMO RICCABONI

AbstractInternational trade has been increasingly organized in the form of global value chains (GVCs). In this paper, we provide a new method for comparing GVCs across countries and over time. First, we use the World Input–Output Database (WIOD) to construct both the upstream and the downstream global value networks. Second, we introduce a network-based measure of node similarity to compare the GVCs between any pair of countries for each sector and each year available in the WIOD. Our network-based similarity is a better measure for node comparison than the existing ones because it takes into account all the direct and indirect relationships between the country–sector pairs, is applicable to both directed and weighted networks with self-loops, and takes into account externally defined node attributes. As a result, our measure of similarity reveals the most intensive interactions among the GVCs across countries and over time. From 1995 to 2011, the average similarity between sectors and countries have clear increasing trends, which are temporarily interrupted by the recent economic crisis. This measure of the similarity of GVCs provides quantitative answers to important questions about dependency, sustainability, risk, and competition in the global production system.


2018 ◽  
Vol 10 (1) ◽  
pp. 207-236 ◽  
Author(s):  
Robert C. Johnson

Recent decades have seen the emergence of global value chains (GVCs), in which production stages for individual goods are broken apart and scattered across countries. Stimulated by these developments, there has been rapid progress in data and methods for measuring GVC linkages. The macro approach to measuring GVCs connects national input–output tables across borders by using bilateral trade data to construct global input–output tables. These tables have been applied to measure trade in value added, the length of and location of producers in GVCs, and price linkages across countries. The micro approach uses firm-level data to document firms’ input sourcing decisions, how import and export participation are linked, and how multinational firms organize their production networks. In this review, I evaluate progress in these two approaches, highlighting points of contact between them and areas that demand further work. I argue that further convergence between these approaches can strengthen both, yielding a more complete empirical portrait of GVCs.


Ekonomika ◽  
2014 ◽  
Vol 93 (3) ◽  
pp. 25-38 ◽  
Author(s):  
Ewa Cieślik

Transformations and integration processes of post-communist European states have resulted in changes in the production process across borders. The main objective of this article is to present the positions of post-communist states in terms of cross-border input–output linkages. The analysis takes advantage of both the conventional methods of comprehensive study of global value chains and the advanced methods and measures examining the role of Central and Eastern Europe in global value chains in general and in sectoral terms. Findings of the study suggest that more integrated are countries with grater connections to Western European countries, especially Germany; a large share of exported goods from the post-communist states passes through GVCs in Western Europe, and exporters from post-communist states are usually located more in downstream segments of production than in upstream markets.


Author(s):  
Federico Belotti ◽  
Alessandro Borin ◽  
Michele Mancini

Several new statistical tools and analytical frameworks have been recently developed to measure countries’ and sectors’ involvement in global value chains. Such a wealth of methodologies reflects the fact that different empirical questions call for distinct accounting methods and different levels of aggregation of trade flows. In this article, we describe icio, a new command for the computation of the most appropriate measures of trade in value added as well as participation in global value chains. icio follows the conceptual framework proposed by Borin and Mancini (2019, Policy Research Working Paper WPS 8804; WDR 2020 Background Paper, World Bank Group), which in turn extends, refines, and reconciles the other main contributions in this strand of the literature. icio is flexible enough to work with any intercountry input–output table and with any level of aggregation of trade flows.


2018 ◽  
Author(s):  
Chiara Bentivogli ◽  
Tommaso Ferraresi ◽  
Paola Monti ◽  
Renato Paniccià ◽  
Stefano Rosignoli

2018 ◽  
Vol 63 (02) ◽  
pp. 275-293 ◽  
Author(s):  
JIANSUO PEI ◽  
BO MENG ◽  
FEI WANG ◽  
JINJUN XUE ◽  
ZHONGXIU ZHAO

Recent trade literature highlights production sharing among economies [Johnson, R and G Noguera (2012). Accounting for intermediates: Production sharing and trade in value added. Journal of International Economics, 86(2), 224–236), and some studies report that 20–25% of CO2 emissions can be attributed to international trade [Peters, G, J Minx, C Weber and O Edenhofer (2011). Growth in emission transfers via international trade from 1990 to 2008. Proceedings the National Academy of Sciences USA, 108(21), 8903–8908.]. However, the mechanism explaining how and to what extent production sharing affects CO2 emissions remains unclear. This study, as an extension of [Meng, B, J Xue, K Feng, D Guan and X Fu (2013a). China’s interregional spillover of carbon emissions and domestic supply chains. Energy Policy, 61, 1305–1321.], adopts the perspective of demand spillovers to provide new insights regarding the position of Chinese domestic-regions’ production in Global Value Chains (GVCs) and their associated CO2 emissions. To this end, we employed a new type of World Input-Output Database (WIOD) in which China’s domestic interregional input–output table for 2007 is endogenously embedded. The pattern of China’s regional demand spillovers across both domestic regions and countries is revealed by employing this new database. These results were then connected to endowments theory, which helps to make sense of the empirical results. It is found that China’s regions are located relatively upstream in GVCs, and had CO2 emissions in net exports, which were entirely predicted by the environmental extended Heckscher–Ohlin–Vanek (HOV) model. Our study points to micro policy instruments to combat climate change: for example, tax reform for energy inputs that helps to change the production pattern, which then has an impact on trade patterns and so forth.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Hans-Ulrich Brautzsch ◽  
Oliver Holtemöller

AbstractWe use the World Input–Output Database (WIOD) combined with regional sectoral employment data to estimate the potential regional employment effects of international trade barriers. We study the case of a no-deal Brexit in which imports to the United Kingdom (UK) from the European Union (EU) would be subject to tariffs and non-tariff trade costs. First, we derive the decline in UK final goods imports from the EU from industry-specific international trade elasticities, tariffs and non-tariff trade costs. Using input–output analysis, we estimate the potential output and employment effects for 56 industries and 43 countries on the national level. The absolute effects would be largest in big EU countries which have close trade relationships with the UK, such as Germany and France. However, there would also be large countries outside the EU which would be heavily affected via global value chains, such as China, for example. The relative effects (in percent of total employment) would be largest in Ireland followed by Belgium. In a second step, we split up the national effects on the NUTS-2 level for EU member states and additionally on the county (NUTS-3) level for Germany. The share of affected workers varies between 0.03% and 3.4% among European NUTS-2 regions and between 0.15% and 0.4% among German counties. A general result is that indirect effects via global value chains, i.e., trade in intermediate inputs, are more important than direct effects via final demand.


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