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  1. Pubblicazioni

Effective Land-Use and Public Regional Planning in the Mining Industry: The Case of Abruzzo

Capitolo di libro
Data di Pubblicazione:
2019
Abstract:
Land use patterns are the visible consequences of human intervention on the natural environment, especially with reference to mining activities for direct trade or subsequent manufacturing purposes. But the extractive industry and the activities of its supply chain have divergent interests related to the quantities of materials that can be extracted in compliance with the fundamental parameters of environmental sustainability. This is the main reason why mining activities are generally allowed only if public authorities issue the specific permits consistently with a specific long range plan. As the Italian legislation attributes this planning authority to regional governments, the present work aims to help to describe the socio-economic variables most affected by quarry extraction processes by referring to the case of Abruzzo (region of Central Italy). We also introduce a model for quantification of the quarry material requirements expressed by the economic operators of the same territory with a time horizon of 2020. To this end, we suggest the use of economic and statistical indicators, such as public investment on infrastructures, GDP growth, social housing policies, private building permits, to optimize the predicting power of the model as they represent reliable proxies of the demand of raw materials, in respect to the need to limit the impact on the environment.
Tipologia CRIS:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
Land use, Public planning, Mining activities, Sustainable indicators, Abruzzo
Elenco autori:
De Luca, Francesco; Fensore, Stefania; Meschieri, Enrica
Autori di Ateneo:
DE LUCA Francesco
FENSORE STEFANIA
Link alla scheda completa:
https://ricerca.unich.it/handle/11564/701819
Titolo del libro:
Decision Economics. Designs, Models, and Techniques for Boundedly Rational Decisions
Pubblicato in:
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
Journal
ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING
Series
  • Dati Generali

Dati Generali

URL

https://link.springer.com/chapter/10.1007/978-3-319-99698-1_17
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