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Laura Cavalli

Researcher at Eni

Publications -  44
Citations -  458

Laura Cavalli is an academic researcher from Eni. The author has contributed to research in topics: Sustainable development & Fertility. The author has an hindex of 10, co-authored 40 publications receiving 329 citations. Previous affiliations of Laura Cavalli include University of Verona & Catholic University of the Sacred Heart.

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Port of the Future - Addressing Efficiency and Sustainability at the Port of Livorno with 5G

Laura Cavalli, +1 more
- 01 Jan 2020 - 
TL;DR: In this article, the authors identify the UN Sustainable Development Goals (SDGs) and their corresponding measurable key port performance indicators that can be used to monitor sustainability performance and help make business decisions for port master plans.
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Per un’Italia sostenibile: l’SDSN Italia SDGs City Index 2018

Laura Cavalli, +1 more
TL;DR: In this paper, a strumento analitico e programmatico per le realta urbane, the Rapporto evidenzia i punti di forza e di debolezza dei capoluoghi italiani, affinche la ricerca, the settore pubblico, le istituzioni, il settore privato e la societa possano integrarsi and incamminarsi sullo stesso sentiero verso la sostenibilita.
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Redistribution at the local level: the case of public childcare in Italy

TL;DR: In this paper, the attitude toward redistribution by local policy-makers in the context of public childcare in Italy was studied, and statistically significant correlations with a number of individual characteristics of policy makers and municipalities, but not with those of the ex ante distribution of income.
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Methodological Insights to Measure the Agenda 2030 at Urban Level in Italy

TL;DR: In this paper, the authors deal with the issue of measuring the Agenda 2030 at the urban level in Italy; the results are useful for the policy analysis and dissemination of sustainable development at the local level.
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Modelling life-course decisions for the analysis of interpersonal and intrapersonal redistribution

TL;DR: In this article, the authors report the main objective and the expected outcomes of an ambitious project that aims to develop a model for the analysis of both inter-household and intra-homehold distribution in a life-cycle perspective.