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Sustainability, cooperation and mobility of workers within and between European countries: a two-stage goal programming model

Author

Listed:
  • Danilo Liuzzi

    (University of Triste)

  • Veronica Lupi

    (Centre for Geography, Resources, Environment, Energy and Networks, Bocconi University)

  • Aymeric Vié

    (Paris School of Economics
    New England Complex Systems Institute
    Sciences Po Saint-Germain-en-Laye)

Abstract

Facing multiple and often considered as conflicting stakes, either economical, migratory, or environmental, policy-making may struggle to identify and implement relevant policy action allowing for balanced and joint completion of such challenges. Addressing this important public issue, we develop a multi-criteria two-stage Goal Programming (GP) model to identify optimal policy paths towards the Europe 2020 strategy on economic growth, employment levels and environmental sustainability. The model is calibrated on current contributions of economic sectors in all European countries to each policy objective: contribution to economic output (GDP), emissions of Green House Gas, electric consumption and number of jobs. First, we study the optimal allocation of workers within economic sectors of each European country to maximize the joint achievement of Europe 2020 multi criteria sustainability targets. We then extend the model to allow cooperation between states, namely allowing internal migrations of workers between countries. We highlight how supranational allocation schemes of surplus workers improve the satisfaction of national sustainability objectives. Finally, we consider extra-European migrants regional integration and study the consequences of such opening over EU2020 targets satisfaction and per capita GDP. Simulation results highlight countries performance comparison, and sheds light on significant benefits from such cooperation for the majority of countries. Improved integration of internal and external workforce generally improves the achievement of EU2020 objectives, while keeping per capita GDP at least constant. Moreover, we expose the relevance of cooperative work-flows allocation strategies across Europe and emphasize the importance of workers mobility in order to ensure more sustainable common development.

Suggested Citation

  • Danilo Liuzzi & Veronica Lupi & Aymeric Vié, 2022. "Sustainability, cooperation and mobility of workers within and between European countries: a two-stage goal programming model," Annals of Operations Research, Springer, vol. 311(2), pages 749-769, April.
  • Handle: RePEc:spr:annopr:v:311:y:2022:i:2:d:10.1007_s10479-020-03818-y
    DOI: 10.1007/s10479-020-03818-y
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    References listed on IDEAS

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    1. K. Taghizadeh & M. Bagherpour & I. Mahdavi, 2011. "An interactive fuzzy goal programming approach for multi-period multi-product production planning problem," Fuzzy Information and Engineering, Springer, vol. 3(4), pages 393-410, December.
    2. A. Charnes & W. W. Cooper & R. O. Ferguson, 1955. "Optimal Estimation of Executive Compensation by Linear Programming," Management Science, INFORMS, vol. 1(2), pages 138-151, January.
    3. Sharma, Dinesh K. & Jana, R.K., 2009. "Fuzzy goal programming based genetic algorithm approach to nutrient management for rice crop planning," International Journal of Production Economics, Elsevier, vol. 121(1), pages 224-232, September.
    4. Raja Jayaraman & Cinzia Colapinto & Danilo Liuzzi & Davide Torre, 2017. "Planning sustainable development through a scenario-based stochastic goal programming model," Operational Research, Springer, vol. 17(3), pages 789-805, October.
    5. Hashem Omrani & Mahsa Valipour & Ali Emrouznejad, 2019. "Using Weighted Goal Programming Model for Planning Regional Sustainable Development to Optimal Workforce Allocation: An Application for Provinces of Iran," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 1007-1035, February.
    6. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Decision analysis in energy and environmental modeling: An update," Energy, Elsevier, vol. 31(14), pages 2604-2622.
    7. Wallenius, Hannele, 1982. "Optimizing macroeconomic policy: A review of approaches and applications," European Journal of Operational Research, Elsevier, vol. 10(3), pages 221-228, July.
    8. Dylan Jones & Mehrdad Tamiz, 2010. "Practical Goal Programming," International Series in Operations Research and Management Science, Springer, edition 1, number 978-1-4419-5771-9, March.
    9. Jayaraman, Raja & Colapinto, Cinzia & Torre, Davide La & Malik, Tufail, 2015. "Multi-criteria model for sustainable development using goal programming applied to the United Arab Emirates," Energy Policy, Elsevier, vol. 87(C), pages 447-454.
    10. K. Taghizadeh & M. Bagherpour & I. Mahdavi, 2011. "An Interactive Fuzzy Goal Programming Approach for Multi-period Multi-product Production Planning Problem," Fuzzy Information and Engineering, Taylor & Francis Journals, vol. 3(4), pages 393-410, December.
    11. Jayaraman, Raja & Colapinto, Cinzia & La Torre, Davide & Malik, Tufail, 2017. "A Weighted Goal Programming model for planning sustainable development applied to Gulf Cooperation Council Countries," Applied Energy, Elsevier, vol. 185(P2), pages 1931-1939.
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    Cited by:

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    More about this item

    Keywords

    Cooperation; Europe 2020 Agenda; Multiple criteria decision analysis; Goal programming; Migration; Sustainable development;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • E61 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Policy Objectives; Policy Designs and Consistency; Policy Coordination
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration

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