Archivio della ricerca della Scuola Superiore Sant'Anna
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Reassessing the Cross-Sectional Fiscal Multiplier: Evidence from U.S. Defense Procurement, 1966-2019
This paper revisits the empirical analysis of Nakamura and Steinsson (2014). I reconstruct and extend the original dataset to cover the period 1966-2019, harmonizing two major sources of data: the Defense Contract Action Data System (DCADS) and USAspending.gov. I discuss how to aggregate these contract-level data to better capture spending more directly tied to domestic stimulus. Estimated multipliers are slightly lower in narrow replications but increase when incorporating later fiscal episodes. I also assess the validity and the stability of cross-sectional estimates. While some heterogeneity exists, dispersion in state-level responses remains within reasonable boundaries, especially when accounting for dynamic persistence
Institutional Reform and Enterprise Emergence in a Transition Context
This monograph analyzes the institutional context in which market and enterprise creation processes take shape in economies undergoing economic transition. In particular, it examines how formal institutional reforms and the transplantation of normative models influence the configuration of market and organizational structures in transition economies. Engaging with debates on the relationship between institutional arrangements and economic development, the volume contributes to a deeper understanding of institutional transformation processes and their practical implications for economic development and entrepreneurship in contexts of systemic chang
Geothermal Energy and Sustainability: Contribution to Fighting Climate Change, CSR, New Scenarios and Maximization of Social Impacts
Geothermal energy, a clean energy source, faces technical and social hurdles. This chapter explores the multifaceted approach necessary to harness geothermal energy’s full potential for a clean and equitable future. Public trust, crucial for deep and shallow projects, requires clear communication and public engagement strategies. Moreover, combining geothermal with Carbon Capture and Storage offers climate benefits, but cost and acceptance are barriers. Artificial Intelligence can revolutionize exploration and operations. Finally, geothermal development must address gender inequality through inclusive projects and targeted programs. A multifaceted approach is essential for the sustainable geothermal energy of the future
Soft Conductive Textile Sensors: Characterization Methodology and Behavioral Analysis
Resistive stretching sensors are currently used in healthcare robotics due to their ability to vary electrical resistance when subjected to mechanical strain. However, commercial sensors often lack the softness required for integration into soft structures. This study presents a detailed methodology to characterize fabric-based resistive stretching sensors, focusing on both static and dynamic performance, for application in a smart vascular simulator for surgical training. Five sensors, called #1–#5, were developed using conductive fabrics integrated into soft silicone. Stability and fatigue tests were performed to evaluate their behavior. The surface structure and fiber distribution were analyzed using digital microscopy and scanning electron microscopy, while element analysis was performed via Energy-Dispersive X-ray Spectroscopy. Sensors #1 and #3 are the most stable with a low relative standard deviation and good sensitivity at low strains. Sensor #3 showed the lowest hysteresis, while sensor #1 had the widest operating range (0–30% strain). Although all sensors showed non-monotonic behavior across 0–100% strain, deeper investigation suggested that the sensor response depends on the configuration of conductive paths within and between fabric layers. Soft fabric-based resistive sensors represent a promising technical solution for physical simulators for surgical training