IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/109632.html
   My bibliography  Save this paper

Computational aspects of sustainability: Conceptual review and analytical framework

Author

Listed:
  • Halkos, George
  • Tsilika, Kyriaki

Abstract

The main purpose of the present study is to feature the computational practice of green policy performance measurement. Computing the progress of the green economy includes topics as indicators and measures to characterize environmental sustainability, methodological issues to indicate and present spatiotemporal patterns of resource use and pollution, computational frameworks for comparisons of environmental management among economies / economic sectors / socio-economic systems, computational techniques to define the structure, dynamics, and change in ecosystems. Results are discussed in support of green policies.

Suggested Citation

  • Halkos, George & Tsilika, Kyriaki, 2021. "Computational aspects of sustainability: Conceptual review and analytical framework," MPRA Paper 109632, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:109632
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/109632/1/MPRA_paper_109632.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. George Halkos & Shunsuke Managi & Kyriaki Tsilika, 2018. "Measuring air polluters’ responsibility in transboundary pollution networks," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 619-639, July.
    2. Halkos, George & Tsilika, Kyriaki, 2014. "Analyzing and visualizing the synergistic impact mechanisms of climate change related costs," MPRA Paper 55459, University Library of Munich, Germany.
    3. George Halkos & Georgia Argyropoulou, 2021. "Pollution and Health Effects: A Nonparametric Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 691-714, October.
    4. Athanasios Tsadiras & Maria Pempetzoglou & Iosif Viktoratos, 2021. "Making Predictions of Global Warming Impacts Using a Semantic Web Tool that Simulates Fuzzy Cognitive Maps," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 715-745, October.
    5. Prasanta Kumar Dey & Guo-liang Yang & Chrysovalantis Malesios & Debashree De & Konstantinos Evangelinos, 2021. "Performance Management of Supply Chain Sustainability in Small and Medium-Sized Enterprises Using a Combined Structural Equation Modelling and Data Envelopment Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 573-613, October.
    6. George E. Halkos & Kyriaki D. Tsilika, 2021. "Towards Better Computational Tools for Effective Environmental Policy Planning," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 555-572, October.
    7. Halkos, George E. & Tsilika, Kyriaki D., 2017. "Climate change effects and their interactions: An analysis aiming at policy implications," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 140-146.
    8. Malin Song & Qianjiao Xie, 2021. "Evaluation of Urban Competitiveness of the Huaihe River Eco-Economic Belt Based on Dynamic Factor Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 615-639, October.
    9. George Halkos & Stylianos Nomikos & Kyriaki Tsilika, 2022. "Evidence for Novel Structures Relating CSR Reporting and Economic Welfare: Environmental Sustainability—A Continent-Level Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 415-444, February.
    10. George Halkos & Kyriaki Tsilika, 2016. "Dynamic Input–Output Models in Environmental Problems: A Computational Approach with CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 47(3), pages 489-497, March.
    11. George E. Halkos, 2013. "Exploring the economy -- environment relationship in the case of sulphur emissions," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 56(2), pages 159-177, March.
    12. Ioannis Tikoudis & Walid Oueslati, 2021. "MOLES: A New Approach to Modeling the Environmental and Economic Impacts of Urban Policies," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 641-690, October.
    13. Halkos, George & Barmpoudaki, Kyriaki & Voulagkas, George & Tsilika, Kyriaki, 2018. "Exploring the EMEP Input-Output model of air pollution," MPRA Paper 90267, University Library of Munich, Germany.
    14. George Halkos & Shunsuke Managi & Kyriaki Tsilika, 2021. "Ranking Countries and Geographical Regions in the International Green Bond Transfer Network: A Computational Weighted Network Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1301-1346, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. George E. Halkos & Kyriaki D. Tsilika, 2021. "Computational Aspects of Sustainability," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 549-553, October.
    2. George E. Halkos & Christina Bampatsou, 2019. "Economic growth and environmental degradation: a conditional nonparametric frontier analysis," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(2), pages 325-347, April.
    3. Halkos, George & Tsilika, Kyriaki, 2017. "Computational analysis of source receptor air pollution problems," MPRA Paper 77305, University Library of Munich, Germany.
    4. Halkos, George & Barmpoudaki, Kyriaki & Voulagkas, George & Tsilika, Kyriaki, 2018. "Exploring the EMEP Input-Output model of air pollution," MPRA Paper 90267, University Library of Munich, Germany.
    5. Halkos, George & Argyropoulou, Georgia, 2024. "Use of indexes in evaluating environmental and health efficiency," MPRA Paper 119800, University Library of Munich, Germany.
    6. Halkos, George & Managi, Shunsuke & Tsilika, Kyriaki, 2018. "Spatiotemporal distribution of inclusive wealth data: An illustrated guide," MPRA Paper 85711, University Library of Munich, Germany.
    7. Halkos, George & Tsilika, Kyriaki, 2016. "Climate change impacts: Understanding the synergetic interactions using graph computing," MPRA Paper 75037, University Library of Munich, Germany.
    8. George E. Halkos & Kyriaki D. Tsilika, 2021. "Towards Better Computational Tools for Effective Environmental Policy Planning," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 555-572, October.
    9. Halkos, George E. & Tsilika, Kyriaki D., 2017. "Climate change effects and their interactions: An analysis aiming at policy implications," Economic Analysis and Policy, Elsevier, vol. 53(C), pages 140-146.
    10. Halkos, George & Bampatsou, Christina, 2017. "Technical efficiency, productivity change and environmental degradation," MPRA Paper 77176, University Library of Munich, Germany.
    11. Halkos, George & Managi, Shunsuke, 2017. "Land use, forest preservation and biodiversity in Asia," MPRA Paper 82883, University Library of Munich, Germany.
    12. Hazem Ali & Ting Chen & Yunhong Hao, 2021. "Sustainable Manufacturing Practices, Competitive Capabilities, and Sustainable Performance: Moderating Role of Environmental Regulations," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    13. Halkos, George & Managi, Shunsuke, 2023. "New developments in the disciplines of environmental and resource economics," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 513-522.
    14. George Halkos & Stylianos Nomikos & Antonis Skouloudis, 2021. "Revisiting ISO 14001 diffusion among national terrains: panel data evidence from OECD countries and the BRIICS," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 23(4), pages 781-803, October.
    15. Wei-Ling Hsu & Xijuan Shen & Haiying Xu & Chunmei Zhang & Hsin-Lung Liu & Yan-Chyuan Shiau, 2021. "Integrated Evaluations of Resource and Environment Carrying Capacity of the Huaihe River Ecological and Economic Belt in China," Land, MDPI, vol. 10(11), pages 1-21, October.
    16. Ioannis Tikoudis & Walid Oueslati, 2023. "The future of transport-related emissions in dense urban areas: an analysis of various policy scenarios with MOLES," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(2), pages 205-268, April.
    17. Christina Prell & Laixiang Sun & Kuishuang Feng & Tyler W Myroniuk, 2015. "Inequalities in Global Trade: A Cross-Country Comparison of Trade Network Position, Economic Wealth, Pollution and Mortality," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-18, December.
    18. Muhammad Bilal Khan & Hummera Saleem & Malik Shahzad Shabbir & Xie Huobao, 2022. "The effects of globalization, energy consumption and economic growth on carbon dioxide emissions in South Asian countries," Energy & Environment, , vol. 33(1), pages 107-134, February.
    19. Halkos, George & Petrou, Kleoniki Natalia, 2017. "Regional environmental efficiency in waste generation," MPRA Paper 81237, University Library of Munich, Germany.
    20. Economou, George & Halkos, George, 2024. "Is economic growth sustainable in the long run? The answer might not be obvious," MPRA Paper 119780, University Library of Munich, Germany.

    More about this item

    Keywords

    Computational Economics; Sustainability.;

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • 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
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:109632. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.