Using Feser's Input-Output Model of Technological Affinities to Target Innovation Investments to Regional Industrial Value Chains

Author(s):  
Thomas E. Vass
Keyword(s):  
Foods ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1664
Author(s):  
Juan Sebastián Castillo-Valero ◽  
Inmaculada Carrasco ◽  
Marcos Carchano ◽  
Carmen Córcoles

The continuous growth of the international wine trade and the expansion of international markets is having significant commercial, but also environmental, impacts. The benefits of vineyards in terms of ecosystem service provision are offset by the increase in CO2 emissions generated by transportation. Denominations of Origin, as quality labels, emphasise a wine’s links to the terroir, where specific elements of culture and environment merge together. However, Denominations of Origin can also have differentiating elements as regards environmental performance. Drawing on an extended multiregional input–output model applied to the Spanish Denominations of Origin with the largest presence in the international wine trade, this study shows that wines with the greatest exporting tradition are those that most reduced their carbon footprint per litre of exported wine in the period 2005–2018, thus being the most environmentally efficient.


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.


2019 ◽  
Vol 69 (1) ◽  
pp. 81-99 ◽  
Author(s):  
Pawel Folfas ◽  
Beáta Udvari

Nowadays, global production networks (GPN) and global value chains (GVC) play an important role in the world economy intensifying the trade and production networks and resulting in products having value-added in different countries. The analysis of how many intermediate products a country imports in order to produce a product and of how many products a country exports to another country in order to produce new products draws the attention to value-added trade. In the present study, we compare the Hungarian and Polish value-added trade of chemicals and chemical products. We use the OECD-WTO data of value-added trade, which is based on an input-output table. By calculating numerous indices, we reveal that the domestic value-added of chemicals and chemical products in the two countries was relatively low and should be increased by adequate economic policy.


2020 ◽  
Vol 15 (1) ◽  
pp. 62-96
Author(s):  
Bishwanath Goldar ◽  
Deb Kusum Das ◽  
Pilu Chandra Das ◽  
Neha Gupta

This article combines national input–output tables (1998–1999 to 2007–2008) with World Input–Output Database (1995–2011) to evaluate foreign value-added (FVA) content in India’s exports at aggregate and disaggregate levels. The results confirm rising FVA and declining domestic value added (DVA) in India’s total and merchandise exports across a majority of the commodities. India’s international fragmentation has risen but continues to be lower than that of East Asia and Association of Southeast Asian Nations (ASEAN). Strikingly, a regression-based decomposition analysis shows greater positive impact of rise in FVA on India’s export growth as compared to imports, leading to substantial net gains. Second, India’s DVA content in exports did not decline much during 2007–2011, thereby displaying a sluggish upward trend in its FVA content. This article advocates the need for striking a right balance between the goals of increasing FVA (improving linkages into global value chains) to enhance export competitiveness and maintaining DVA (supporting the ‘Make in India’ initiative) in exports to generate employment opportunities domestically.


Entropy ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1068 ◽  
Author(s):  
Georgios Angelidis ◽  
Evangelos Ioannidis ◽  
Georgios Makris ◽  
Ioannis Antoniou ◽  
Nikos Varsakelis

We investigated competitive conditions in global value chains (GVCs) for a period of fifteen years (2000–2014), focusing on sector structure, countries’ dominance and diversification. For this purpose, we used data from the World Input–Output Database (WIOD) and examined GVCs as weighted directed networks, where countries are the nodes and value added flows are the edges. We compared the in-and out-weighted degree centralization of the sectoral GVC networks in order to detect the most centralized, on the import or export side, respectively (oligopsonies and oligopolies). Moreover, we examined the in- and out-weighted degree centrality and the in- and out-weight entropy in order to determine whether dominant countries are also diversified. The empirical results reveal that diversification (entropy) and dominance (degree) are not correlated. Dominant countries (rich) become more dominant (richer). Diversification is not conditioned by competitiveness.


2016 ◽  
Vol 20 (1) ◽  
pp. 47-73
Author(s):  
Hsing-Chun Lin ◽  
Shih-Hsun Hsu ◽  
Ruey-Wan Liou ◽  
Ching-Cheng Chang

Purpose – The purpose of this paper is to extricate value-added exports in information and communications technology (ICT) industry earned by Taiwan and Korea. Additionally, the authors decompose Taiwan and Korea’s gross exports into various meaningful components. Design/methodology/approach – The authors use the inter-country input-output (ICIO) table which endows with cost structures of industries as well as trade information, facilitating in keeping track of the flow of products and value-added. The ICIO table used in this paper comes from the World Input-Output Database. The authors also use the way Wang et al. (2013) decomposed the intermediate goods exports into various components to provide further insights. Findings – The empirical results indicate that Taiwan and Korea’s ICT export to the world shrink by 47.8 and 40.9 percent when the trades are measured in value-added terms. Taiwan and Korea’s ICT export will also decrease by 75.1 and 57.8 percent. From the viewpoint of value added in trade, the share of value added embodied in Taiwan and Korea’s gross ICT exports continued to decrease and reached 24.9 and 42.2 percent in 2011, while the components of pure double counted terms kept growing in recent years. Originality/value – With global value chains flourishing in recent years, conventional trade statistics not only fails to highlight the vertical specialization among different countries, but also distorts the measurement of a country’s competitiveness. This paper extricates value-added exports in ICT industry earned by Taiwan and Korea and bring into focus the importance of trade in value added.


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.


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