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Biagio Fernando Giannetti

Paulista University

UNIP

Sao Paolo

Brazil

  • Paulista University

SCHOLARLY PAPERS

3

DOWNLOADS

182

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

A Multi-Criteria Approach to Assess Interconnections Among the Environmental, Economic, and Social Dimensions of Circular Economy

Number of pages: 28 Posted: 14 Mar 2023
Luiz Carlos Terra dos Santos, Biagio Fernando Giannetti, Feni Dalano Roosevelt Agostinho, Gengyuan Liu and Cecilia Maria Villas de Almeida
affiliation not provided to SSRN, Paulista University, Paulista University, Beijing Normal University (BNU) - State Key Joint Laboratory of Environmental Simulation and Pollution Control and Paulista University
Downloads 132 (551,165)

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Sustainable development, circular economy, Economic Blocs, 5SEnSU Model

2.

A Holistic Approach to Measuring Socioeconomic and Environmental Inequalities Among Nations: A Methodological Proposal Based on Odum's Theory

Number of pages: 37 Posted: 23 May 2025
Biagio Fernando Giannetti, Estêvão Salvador Langa, Fábio Sevegnani, Feni Dalano Roosevelt Agostinho and Cecilia Maria Villas de Almeida
Paulista University, affiliation not provided to SSRN, affiliation not provided to SSRN, Paulista University and Paulista University
Downloads 26 (1,372,601)

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Development, Disparities, economic-environmental-social indicator, SADC, 5SEnSU Model

3.

Integrating Emergy Theory and Food Security: An Examination of the Emergy Exchange Ratio

Number of pages: 18 Posted: 09 Jun 2025
Rafael Araujo Nacimento, Mario Duarte Canever, Fábio José Muneratti Ortega, Luiz Carlos Terra dos Santos, Regis Augusto Ely, Augusto Hauber Gameiro, Feni Dalano Roosevelt Agostinho, Cecilia Maria Villas de Almeida and Biagio Fernando Giannetti
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Federal University of Pelotas (UFPel), affiliation not provided to SSRN, Paulista University, Paulista University and Paulista University
Downloads 24 (1,399,036)

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Emergy Exchange Ratio, Global Food Security Index, machine learning, Public policies, Poverty