About the WTO

I study trade-induced transitional dynamics by estimating a structural dynamic equilibrium model of the Brazilian labor market. The model features a multi-sector economy with overlapping generations, heterogeneous workers, endogenous accumulation of sector-specific experience and costly switching of sectors. The model's estimates yield median costs of mobility ranging from 1.4 to 2.7 times annual average wages, but a high dispersion across the population. In addition, sector-specific experience is imperfectly transferable across sectors, leading to additional barriers to mobility. Using the estimated model for counter-factual trade liberalization experiments, the main findings are: (1) there is a large labor market response following trade liberalization but the transition may take several years; (2) potential aggregate welfare gains are signicantly mitigated due to the delayed adjustment; (3) trade-induced welfare effects dep end on initial sector of employment and on worker demographics. The experiments also highlight the sensitivity of the transitional dynamics with respect to assumptions regarding the mobility of capita

Economic projections for the world economy, particularly in relation to the construction of Computable General Equilibrium (CGE) baselines, are generally rather conservative and take scant account of the wide range of possible evolutions authorized by the underlying economic mechanisms considered. Against this background, we adopt an ‘open mind’ to the projection of world trade trajectories. Taking a 2035 horizon, we examine how world trade patterns will be shaped by the changing comparative advantages, demand, and capabilities of different regions. We combine a convergence model fitting three production factors (capital, labor and energy) and two factor-specific productivities, alongside a dynamic CGE model of the world economy calibrated to Economic projections for the world economy, particularly in relation to the construction of Computable General Equilibrium (CGE) baselines, are generally rather conservative and take scant account of the wide range of possible evolutions authorized by the underlying economic mechanisms considered. Against this background, we adopt an ‘open mind’ to the projection of world trade trajectories. Taking a 2035 horizon, we examine how world trade patterns will be shaped by the changing comparative advantages, demand, and capabilities of different regions. We combine a convergence model fitting three production factors (capital, labor and energy) and two factor-specific productivities, alongside a dynamic CGE model of the world economy calibrated to reproduce observed elasticity of trade to income. Each scenario involves three steps. First, we project growth at country level based on factor accumulation, educational attainment and efficiency gains, and discuss uncertainties related to our main drivers. Second, we impose this framework (demographics, gross domestic product, saving rates, factors and current account trajectories) on the CGE baseline. Third, we implement trade policy scenarios (tariffs as well as non-tariff measures in goods and services), in order to get factor allocation across sectors from the model as well as demand and trade patterns. We show that the impact of changing baselines is greater than the impact of a policy shock on the order of magnitude of changes in world trade patterns, which points to the need for care when designing CGE baselines. observed elasticity of trade to income. Each scenario involves three steps.

In theory, e-commerce marketplaces connect buyers and sellers, open trade opportunities, and reduce transaction costs thereby creating opportunities for more inclusive trade and even GVC participation, especially for micro, small and medium-sized enterprises (MSMEs). Further, there is some evidence that MSMEs are more likely to use e-commerce marketplaces than large firms given these websites reduce search frictions and transaction costs, which can be relatively more beneficial for smaller firms.

This study describes trade margins (intensive and extensive) and establishes determinants of the mid-point export and import growth during the global financial crisis (GFC) and COVID-19 pandemic by relying on Kenya’s monthly customs transaction data (at 6-digit level of Harmonized System) for the period January 2006–June 2020. Exports fell during the two crises, of which the intensive margin was responsible for the drop during GFC while the extensive margin dominated the COVID-19 era. Imports are mainly driven by the extensive margin which grew during GFC but declined during the pandemic.

This study investigates how environmental policies impact trade and innovation in environmental goods. We make two major contributions to the economic debate. First, we extract a set of information from the WTO Environmental Database (EDB) through natural language processing techniques that could be useful for future research and policy analysis. Second, we use this data to test a set of economic hypotheses on how environmental measures impact environmental innovation and trade.

Economic theory suggests that countries' tariff commitments in trade agreements reflect their import market power at the time of negotiations. However, as countries grow, their market power in different sectors can change in unforeseen ways and their commitments may no longer reflect changed economic conditions. Using a newly built dataset of pre-Uruguay Round applied tariffs and relying on the theoretical framework of the terms-of-trade motive for trade agreements, we estimate hypothetical tariff commitments under current levels of market power and compare them with actual tariff commitments.

In this study, we investigate three trade policy scenarios: i) the revival of multilateralism, ii) plurilateral cooperation, and iii) geopolitical rivalry. In the first scenario, both tariffs and NTMs are reduced on a multilateral basis. In the second scenario, varying groups of countries cooperate on specific topics, such as E-commerce and services. In the last scenario, two main blocks emerge: a Western block and an Eastern block. International cooperation breaks down between blocks, leading to an increase in tariffs and NTMs, with blocks of countries setting up their own set of rules. Our findings are based on simulations with the WTO Global trade Model which has a specific novel feature: the diffusion of ideas between countries as a by-product of trade.

In this paper the evolution of global trade patterns until 2050 is projected with a recursive dynamic computable general equilibrium (CGE) model. Feeding the model with exogenous projections on macroeconomic, demographic, sectoral and trade cost variables, the evolution of trade patterns emerges endogenously from the model. The approach is innovative in both modelling approach and exogenous inputs. GDP growth emerges endogenously in the model because of diffusion of ideas as a result of international trade and trade cost changes are based on estimates of technology and trade policy changes.

Geopolitical conflicts have increasingly been a driver of trade policy. We study the potential effects of global and persistent geopolitical conflicts on trade, technological innovation, and economic growth. In conventional trade models the welfare costs of such conflicts are modest. We build a multi-sector multi-region general equilibrium model with dynamic sector-specific knowledge diffusion, which magnifies welfare losses of trade conflicts. Idea diffusion is mediated by the input-output structure of production, such that both sector cost shares and import trade shares characterize the source distribution of ideas.

Disruptions to global value chains (GVCs) — caused by conflicts, natural disasters, and accidents that close transport routes — and that affect specific regions or sectors, are not unusual. However, in recent years and amid the Covid-19 pandemic, they have become more frequent and severe. High profile, sizeable, and repeated disruptions raise pressing questions: Is the breakdown in many GVCs a temporary glitch, or a permanent phenomenon? Have GVCs become endemically more accident prone, and why? And if so, are firms going to rely less on them? If a sustained withdrawal from GVCs occurs, how will business models be reshaped, and what will be the consequences for growth and inflation? How will the global trading system be affected? In short, policymakers want to know, what is the future of GVCs?

We explore a global carbon pricing framework to inform the potential coordination of carbon pricing and equivalent policies. The framework has three main features aligning with the current multilateral system for climate action. First, the carbon price is determined by a global average carbon price to achieve emission reductions required to remain on a 1.5-2 degrees Celsius global warming trajectory.

In this paper, we project the impact of the implementation of a Joint Statement Initiative (JSI) on Services Domestic Regulation (SDR). We proceed in three steps. First, we include the WTO SDR Index, a binary score of SDR implementation in 23 sectors and 86 economies, in a gravity equation, estimated with the balance of payments services trade. We take into account domestic services trade to identify the impact of the importer-specific SDR Index by interacting the SDR Index with a border dummy, following an established methodology in the gravity literature.