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La frammentazione della produzione a livello globale richiede una misurazione del commercio in termini di valore aggiunto che tenga conto di come parti di valore contenuto nei beni e servizi sono aggiunte in ciascuna fase dei processi produttivi all’interno delle catene globali del valore. La qualità degli indicatori relativi al commercio in valore aggiunto dipende dalla qualità delle sottostanti tavole globali di Input-Output che a loro volta dipendono dalla qualità e disponibilità delle statistiche nazionali che ne sono alla base così come dalle tecniche di bilanciamento e stima usate nella procedura di armonizzazione. Nonostante le statistiche in valore aggiunto siano ampliamente utilizzate nella ricerca economica, non vi è coerenze tra le diverse banche dati né una procedura unica e condivisa nella costruzione dei dati su cui il commercio in valore aggiunto è stimato. Questo lavoro rappresenta un tentativo di sistematizzare le potenziali fonti di differenze tra le banche dati globali e di mostrare la risultante deviazione nelle stime degli indicatori di partecipazione alle catene globali del valore.

La relazione tra commercio e cambiamento climatico è molto complessa e le interazioni tra i due fenomeni si manifestano in molteplici modi. I meccanismi sono sia diretti che indiretti e le caratteristiche globali degli impatti sul clima e le relative responsabilità incrementano le difficoltà interne al dibattito politico. A tal fine, una profonda conoscenza dei collegamenti tra settori e regioni come così come tra diversi livelli decisionali, è un prerequisito per gli esercizi di valutazione delle politiche climatiche e/o commerciali.

This paper aims to overview the recent body of empirical work on the importance of Global Value Chains (GVCs) in international production and trade. We begin by reviewing different approaches and levels of GVC analysis. We then consider developments in methods and data. Focusing on the agriculture and food sector, we present a map of GVC measures - at the country and sectoral level - computed using trade in value added data to allow researchers to better assess the countries’ engagement in GVCs. We also apply this data to show some stylized facts on GVC participation and positioning in agriculture and food and provide empirical evidence of the economic impact of the GVCs on these sectors. We conclude with some critical issues and speculative thoughts regarding the future of GVCs.

We analyse the likely trade effects of the Trade and Cooperation Agreement (TCA), which defines the post-Brexit trading environment between the United Kingdom (UK) and the European Union (EU). We apply a computable general equilibrium model and focus on trade in value added rather than just the gross values of exports and imports. We describe the TCA and estimate its effects on the costs of conducting UK–EU trade, including various non-tariff barriers in both goods and services. We suggest that the TCA will reduce UK trade significantly: total exports by around 7 per cent and imports by around 14 per cent. In terms of value added (i.e. incomes generated), textiles and vehicles, both of which trade extensively with the EU, suffer heavily, as do services which trade significantly with the EU, face large increases in trade barriers, and experience declining demand from other sectors as those sectors’ exports fall. Such inter-industry linkages spread the losses from Brexit widely through the economy.

The US–Sino trade war will have significant repercussions on the global trade system. This study assesses the implications of the successive rounds of tariff hikes implemented by the US and Chinese governments on global value chains, with a focus on the major European Union economies. The evaluation is based on a computable general equilibrium model which incorporates a decomposition of trade in a value-added basis and allows to identify how changes in the conditions under which US–China trade is conducted affect the value contributed by different countries and to what extent. I find that US integration within GVCs contracts whereas China increases its participation mainly as a seller to global networks. The EU countries strengthen their linkages with the US and EU regional integration increases as a consequence of the tariff war between the US and China.

Global Value Chains (GVCs) have transformed production across a broad range of goods and services worldwide. New trade statistics are required in order to perform a more accurate analysis of trade flows through their decomposition in terms of value-added content, distinguished according to the sector/region of origin/destination. Our approach traces value added embedded in trade flows back to its origin or forward to its destination in a Computable General Equilibrium (CGE) model. A new module (available as a download with this paper) is introduced to the Global Trade Analysis Project (GTAP) model and used in a stylized scenario with 3 regions (the United States, the European Union and the Rest of the World) and 3 sectors (Manufactures, Agrifood and Services) where a free trade area between the European Union and the United States is simulated. Results show that the new version of the model (GTAP-VA) makes a useful contribution to trade policy analysis.