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prof. Raffaele Giammetti - University of Cassino

Chains That Bind: Global Value Chain Dependence and the Rise of Populism

Abstract

A large and growing literature links the political backlash against globalisation to\nthe labour-market disruptions caused by trade openness. This paper argues that the framing is too coarse. What matters for political economy is not how much a region trades, but the structural form of its integration into global value chains (GVCs): whether it depends on foreign-controlled inputs for its very production, and whether it sells into foreign markets it does not command. Using a novel panel of GVC indicators constructed from multiregional input-output tables for 266 NUTS regions across 41 countries over the period 2000–2010, we show that three dimensions of GVC exposure are robustly associated with higher populist vote shares: the reliance on foreign inputs in production (Foreign Input Reliance, FIR), the exposure of regional value added to supply-chain disruptions (FPEMV ), and above all, the dependence on foreign demand for output (Foreign Market Reliance, FMR). Our identification strategy exploits within-region variation in GVC indicators after absorbing region and time fixed effects, with standard errors clustered at the country level. The results are stable across two independent measures of populist party support—those of Van Kessel (2015) and Norris and Inglehart (2019)—and survive disaggregation\nto the sector level. We interpret the findings as evidence that the political economy of globalisation is fundamentally a story of perceived dependency, not simply of openness.

prof. Sergio Nisticò - University of Cassino

Beyond Becker: towards an empirically grounded economic time-use theory

Abstract

Building on a new approach to consumption theory, this paper argues that the fundamental role of time use in individual economic behavior could pave the way toward a robust alternative to Becker's standard treatment of time as ‘foregone earnings.’ The paper also demonstrates how the relevance of time can be assessed using data from time-use and consumption expenditure surveys facilitated by smart technologies. To this end, we present the design and development of an Android-based mobile application that enables users to log their daily activities either in real-time or retrospectively. By capturing fine-grained behavioral data, the system can support ongoing research on time and budget allocation, well-being, and socially induced choice patterns.

Seminario Dottorale – Dottorato di Ricerca in Economia e Politiche dei Mercati e delle Imprese

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