Based on the data provided in the 2022 Sustainable Development Report the so-called Prosperity pillar, i.e., the Sustainable Development Goals (SDGs) 7–11 is studied to elucidate the state of compliance as well as the trends in development for the 193 countries included in the report. To the extent that data for all five SDGs were available partial ordering methodology was applied to rank the countries according to their compliance as well as their trend toward compliance. The analyses took simultaneously data for all five SDGs into account to get an overall picture of the prosperity midway through the 15 years period for the 17 UN SDGs. It was disclosed that the ten top countries, i.e., presently best comply with the prosperity goals were Denmark > Austria = Finland = Sweden = Norway > Slovenia > Germany > Portugal > Japan > Iceland, respectively. In the case of the trends, the top ten countries were found to be Germany > Netherlands > Ecuador > Bhutan = Finland = Ireland = Slovak Republic > Czech Republic = Maldives = Malta, respectively. It was further disclosed that SDG 10 (Reduced inequalities) appeared as the most important indicator for the ranking, whereas SDG 9 (Industry, innovation, and infrastructure) appeared as the least important. A similar set of analyses was carried out for country regions. The top regions both in the case of states and trends were the OECD and the high-income countries whereas the bottom of the list was the low-income countries and Africa. The study unambiguously points to SDG 10 (reduced inequalities) as the main focus for the remaining period.
Citation: Lars Carlsen. The state of the 'Prosperity' pillar by 2022: A partial ordering-based analysis of the sustainable development goals 7–11[J]. Green Finance, 2023, 5(2): 89-101. doi: 10.3934/GF.2023005
Based on the data provided in the 2022 Sustainable Development Report the so-called Prosperity pillar, i.e., the Sustainable Development Goals (SDGs) 7–11 is studied to elucidate the state of compliance as well as the trends in development for the 193 countries included in the report. To the extent that data for all five SDGs were available partial ordering methodology was applied to rank the countries according to their compliance as well as their trend toward compliance. The analyses took simultaneously data for all five SDGs into account to get an overall picture of the prosperity midway through the 15 years period for the 17 UN SDGs. It was disclosed that the ten top countries, i.e., presently best comply with the prosperity goals were Denmark > Austria = Finland = Sweden = Norway > Slovenia > Germany > Portugal > Japan > Iceland, respectively. In the case of the trends, the top ten countries were found to be Germany > Netherlands > Ecuador > Bhutan = Finland = Ireland = Slovak Republic > Czech Republic = Maldives = Malta, respectively. It was further disclosed that SDG 10 (Reduced inequalities) appeared as the most important indicator for the ranking, whereas SDG 9 (Industry, innovation, and infrastructure) appeared as the least important. A similar set of analyses was carried out for country regions. The top regions both in the case of states and trends were the OECD and the high-income countries whereas the bottom of the list was the low-income countries and Africa. The study unambiguously points to SDG 10 (reduced inequalities) as the main focus for the remaining period.
[1] | Bruggemann R, Carlsen L (2006a) Partial Order in Environmental Sciences and Chemistry, Springer, Berlin. Available from: https://www.springer.com/gp/book/9783540339687. |
[2] | Bruggemann R, Carlsen L (2006b) Introduction to partial order theory exemplified by the evaluation of sampling sites, In Bruggemann R and Carlsen L (Eds.), Partial Order in Environmental Sciences and Chemistry, Springer, Berlin, 61–110. |
[3] | Bruggemann R, Carlsen L (2011) An improved estimation of averaged ranks of partial orders. Match-Commun Math Co 65: 383–414. |
[4] | Bruggemann R, L Carlsen (2014) Incomparable-What now? Match-Commun Math Co 71:699–714 |
[5] | Bruggemann R, Carlsen L, Voigt K, et al. (2014) PyHasse Software for Partial Order Analysis: Scientific Background and Description of Selected Modules, In: Bruggemann R, Carlsen L, and Wittmann J (Eds), Multi-indicator Systems and Modelling in Partial Order, Springer, New York, 389–423. |
[6] | Bruggemann R, Münzer B (1993) A Graph-Theoretical Tool for Priority Setting of Chemicals. Chemosphere 27: 1729–1736. https://doi.org/10.1016/0045-6535(93)90153-V doi: 10.1016/0045-6535(93)90153-V |
[7] | Bruggemann R, Patil GP (2011) Ranking and Prioritization for Multi-indicator Systems—Introduction to Partial Order Applications, Springer, New York. |
[8] | Bruggemann R, Halfon E, Welzl G, et al. (2001) Applying the Concept of Partially Ordered Sets on the Ranking of Near-Shore Sediments by a Battery of Tests. J Chem Inf Comp Sci 41: 918–925. https://doi.org/10.1021/ci000055k doi: 10.1021/ci000055k |
[9] | Carlsen L (2018) Happiness as a sustainability factor. The World Happiness Index. A Posetic Based Data Analysis. Sustain Sci 13: 549–571. https://doi.org/10.1007/s11625-017-0482-9 doi: 10.1007/s11625-017-0482-9 |
[10] | Carlsen L (2021) Responsible consumption and production in the European Union. A partial order analysis of Eurostat SDG 12 data, Green Financ 3: 28–45. https://doi.org/10.3934/GF.2021003 doi: 10.3934/GF.2021003 |
[11] | Carlsen L, Bruggemann R (2013) Partial order methodology a valuable tool in chemometrics. J Chemometrics 28: 226–234. https://doi.org/10.1002/cem.2569 doi: 10.1002/cem.2569 |
[12] | Carlsen L, Bruggemann R (2018) Environmental perception in 33 European countries an analysis based on partial order. Environ Dev Sustain 22: 1873–1896. https://doi.org/10.1007/s10668-018-0267-z doi: 10.1007/s10668-018-0267-z |
[13] | Carlsen L, Bruggemann R (2022a) Partial Order as Decision Support Between Statistics and Multi-criteria Decision Analyses. Standards 2: 306–328. https://doi.org/10.3390/standards2030022 doi: 10.3390/standards2030022 |
[14] | Carlsen L, Bruggemann R (2022b) Combining different stakeholders' opinions in multi-criteria decision analyses applying partial order methodology. Standards 2: 503–521. https://doi.org/10.3390/standards2040035 doi: 10.3390/standards2040035 |
[15] | D'Adamo I, Gastaldi M, Morone P (2022) Economic sustainable development goals: Assessments and perspectives in Europe. J Clean Prod 354: 131730. https://doi.org/10.1016/j.jclepro.2022.131730 doi: 10.1016/j.jclepro.2022.131730 |
[16] | Di Vaio A, Varriale L, Lekakou M (2023) SDGs disclosure: evidence from cruise corporations' sustainability reporting. Corp Gov-Int J Bus S. https://doi.org/10.1108/CG-04-2022-0174 doi: 10.1108/CG-04-2022-0174 |
[17] | Future Learn (2021) The three pillars of sustainability. Available from: https://www.futurelearn.com/info/courses/sustainabilitysociety-and-you/0/steps/4618. |
[18] | Kostetckaia M, Hametner M (2022) How Sustainable Development Goals interlinkages influence European Union countries' progress towards the 2030 Agenda. Sustaain Dev 30: 916–926. https://doi.org/10.1002/sd.2290 doi: 10.1002/sd.2290 |
[19] | Sachs JD, Lafortune G, Kroll C, et al. (2022) From Crisis to Sustainable Development: the SDGs as Roadmap to 2030 and Beyond. Sustainable Development Report 2022. Cambridge: Cambridge University Press. https://doi.org/10.1017/9781009210058 |
[20] | SEG (2021) 5 pillars of Sustainable Development Goals (SDGs), Social Enterprise Guide. Available from: http://socialenterpriseguide.com/5-pillars-of-sustainable-development-goals-sdgs/. |
[21] | Tanaka H, Tanaka C (2022) Sustainable investment strategies and a theoretical approach of multi-stakeholder communities. Green Financ 4: 329–346. https://doi.org/10.3934/GF.2022016 doi: 10.3934/GF.2022016 |
[22] | Whatcanyoudo (2021) What can you do? The 5p's. Available from: https://whatcanyoudo.earth/selecting-the-sdg-for-youraction/the-5-ps/. |
GF-05-02-005-s001.pdf |