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Foreword for the special issue: “Decision-Making Models for Common Goods in Environmental, Health, and Logistics Contexts”

Author

Listed:
  • Chessa, Michela
  • Ciardiello, Francesco
  • Martinez, Ricardo
  • Meca, Ana
  • Saulle, Riccardo D.

Abstract

We present the scientific results of the call for papers in SEPS titled ’Decision-Making Models for Common Goods in Environmental, Health, and Logistics Contexts.’ As guest editors in Socio-economic Planning Sciences (SEPS), we describe the domain of our academic initiative and present the collected papers. Interestingly, our collection includes papers employing various methodologies such as multi-criteria decision making, game theory, operations research, microeconomics, computational models and insurance mathematics. We received more than fifty submissions from Asia, Europe and America. However, only thirteen papers were accepted for publication in SEPS. This demonstrates the extensive investigation of the problem of common goods and the ongoing academic debate surrounding it.

Suggested Citation

  • Chessa, Michela & Ciardiello, Francesco & Martinez, Ricardo & Meca, Ana & Saulle, Riccardo D., 2024. "Foreword for the special issue: “Decision-Making Models for Common Goods in Environmental, Health, and Logistics Contexts”," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    • Handle: RePEc:eee:soceps:v:93:y:2024:i:c:s0038012124001149
    DOI: 10.1016/j.seps.2024.101915
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    References listed on IDEAS

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    1. Allouch, N. & Guardiola, Luis A. & Meca, A., 2024. "Measuring productivity in networks: A game-theoretic approach," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    2. Di Liddo, Giuseppe & Vinella, Annalisa, 2024. "Global public good provision in emergency states: A model of (asymmetric) yardstick competition between rent-seeking governments," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    3. Wang, Congcong & Chen, Shanshan & Wang, Yuhan & Pansera, Bruno Antonio & Luckraz, Shravan, 2023. "On the welfare and policy implications of a two-period real option game," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    4. Ciardiello, Francesco & Di Lorenzo, Emilia & Menzietti, Massimiliano & Sibillo, Marilena, 2024. "Securitization for common health," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    5. Caravaggio, Andrea & De Cesare, Luigi & Di Liddo, Andrea, 2024. "Socio-economic determinants of pricing water for domestic use: A comparison of blocks and linear tariffs," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    6. Algaba, E. & Márquez, G. & Martínez-Lozano, J. & Sánchez-Soriano, J., 2023. "A novel methodology for public management of annual greenhouse gas emissions in the European Union," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    7. Biancardi, Marta & Iannucci, Gianluca & Villani, Giovanni, 2024. "Water dynamics and environmental social practice in a differential game," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    8. Jafarzadeh-Ghoushchi, Saeid & Asghari, Mohammad & Mardani, Abbas & Simic, Vladimir & Tirkolaee, Erfan Babaee, 2023. "Designing an efficient humanitarian supply chain network during an emergency: A scenario-based multi-objective model," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    9. Salmaso, Pietro, 2024. "Welfare maximization in stable sharing services," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    10. Amirteimoori, Alireza & Kazemi Matin, Reza & Yadollahi, Amir Hossein, 2024. "Stochastic resource reallocation in two-stage production processes with undesirable outputs: An empirical study on the power industry," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    11. Fiorillo, Fabio & Merkaj, Elvina, 2024. "Municipal strategies, fiscal incentives and co-production in urban waste management," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    12. Jeon, Jeonghwan & Suvitha, Krishnan & Arshad, Noreen Izza & Kalaiselvan, Samayan & Narayanamoorthy, Samayan & Ferrara, Massimiliano & Ahmadian, Ali, 2023. "A probabilistic hesitant fuzzy MCDM approach to evaluate India’s intervention strategies against the COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
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