Comparison of Japan and OECD Countries in Terms of Well-Being Resources

Fatma Ince

fatma_ince@yahoo.com
Mersin University, Turkey (Turkey)

Abstract

While evaluating the concept of well-being for sustainability, which is defined as the feeling of having the physical and psychological resources necessary for a good life, it is essential to benefit from different perspectives referring to socio-psychological factors or their possible effects as well as financial and economic data. The aim of this study, which deals with the well-being level in terms of sustainability resources, is to evaluate the OECD countries and examine the differences and similarities in Japan, one of the G8 countries. According to the results of the multidimensional scaling analysis conducted for this purpose, Japan is in the same cluster as Luxembourg, which has the highest positive value, while Germany is one of the countries with the highest rate of divergence from other G8 countries in the difference matrix.


Keywords:

well-being, social protection, natural capital, sustainability, OECD, G8, MDS, Japan

ALDABBAS M., TEUFEL S., TEUFEL B., SPYCHER J., 2022, Forecasting the Quality of Life in a Future Smart Society, the Case of Switzerland, International Journal of Social Science and Humanity 12(2): 107-112, https://doi.org/10.18178/ ijssh.2022.12.2.1075.
DOI: https://doi.org/10.18178/ijssh.2022.V12.1075   Google Scholar

AYDAN S., BAYIN-DONAR G., ARIKAN C., 2022, Impacts of Economic Freedom, Health, and Social Expenditures on Well-Being Measured by the Better Life Index in OECD Countries, Social Work in Public Health 37(5): 435-447, https://doi.org/10.1080/19371918.2021.2018083.
DOI: https://doi.org/10.1080/19371918.2021.2018083   Google Scholar

BÉRENGER V., VERDIER-CHOUCHANE A., 2007, Multidimensional Measures of Well-Being: Standard of Living and Quality of Life Across Countries, World Development 35(7): 1259-1276, https://doi.org/10.1016/j.worlddev.2006.10.011.
DOI: https://doi.org/10.1016/j.worlddev.2006.10.011   Google Scholar

BRZEZIŃSKA J., 2022, A Study on the OECD Better Life Index Using Multivariate Statistical Analysis, Argumenta Oeconomica 1(48): 235-245, https://doi.org/10.15611/aoe.2022.1.10.
DOI: https://doi.org/10.15611/aoe.2022.1.10   Google Scholar

BUJA A., SWAYNE D. F., LITTMAN M. L., DEAN N., HOFMANN H., CHEN L., 2008, Data Visualization with Multidimensional Scaling, Journal of Computational and Graphical Statistics 17(2): 444-472, https://doi.org/10.1198/106186008X318440.
DOI: https://doi.org/10.1198/106186008X318440   Google Scholar

FINK J., DUCOING C., 2022, Does Natural Resource Extraction Compromise Future Well-Being? Norwegian Genuine Savings, 1865-2018, The Extractive Industries and Society 10112: 1-15,https://doi.org/10.1016/j.exis.2022.101127.
DOI: https://doi.org/10.1016/j.exis.2022.101127   Google Scholar

GONZÁLEZ-CARRASCO M., VAQUÉ C., MALO S., CROUS G., CASAS F., FIGUER C., 2019, A Qualitative Longitudinal Study on the Well-Being of Children and Adolescents, Child Indicators Research 12(2): 479-499, https://doi.org/10.1007/s12187-018-9534-7.
DOI: https://doi.org/10.1007/s12187-018-9534-7   Google Scholar

HANSEN T., SLAGSVOLD B., 2012, The Age and Subjective Well-Being Paradox Revisited: A Multidimensional Perspective, Norsk Epidemiologi 22(2), https://doi.org/10.5324/nje.v22i2.1565.
DOI: https://doi.org/10.5324/nje.v22i2.1565   Google Scholar

HAQ S., 2003, Future of the G-8, Strategic Studies 23(3): 168-186, http://www.jstor.org/stable/45242486.
  Google Scholar

HECK G., HESS S., 2017, Tracing the Effects of the EU-Turkey Deal Movements, Journal for Critical Migration and Border Regime Studies 3(2): 35-56.
  Google Scholar

HENDERSON K., LOREAU M., 2023, A Model of Sustainable Development Goals: Challenges and Opportunities in Promoting Human Well-Being and Environmental Sustainability, Ecological Modelling 475: 110164, https://doi.org/10.1016/j.ecolmodel.2022.110164.
DOI: https://doi.org/10.1016/j.ecolmodel.2022.110164   Google Scholar

HOUT M. C., PAPESH M. H., GOLDINGER S. D., 2013, Multidimensional Scaling, Wiley Interdisciplinary Reviews: Cognitive Science 4(1): 93-103, https://doi.org/10.1002/wcs.1203.
DOI: https://doi.org/10.1002/wcs.1203   Google Scholar

INCE F., 2020, The Effects of COVID-19 Pandemic on the Workforce in Turkey, Smart Journal 6(32): 1125-1134, https://doi.org/10.31576/smryj.546.
DOI: https://doi.org/10.31576/smryj.546   Google Scholar

INCE F., 2023, Digital Transformation and Well-Being, Digital Psychology’s Impact on Business and Society, eds. Anshari M., Razzaq A., Fithriyah M., Kamal A.N., IGI Global, https://doi.org/10.4018/978-1-6684-6108-2.
DOI: https://doi.org/10.4018/978-1-6684-6108-2   Google Scholar

JAPANESE RED CROSS SOCIETY, 2022, Social Well-being Services: Annual Report of 2020-2021, https:// www.jrc.or.jp/english/activity/well-being/ (09.08.2022).
  Google Scholar

KORONAKOS G., SMIRLIS Y., SOTIROS D., DESPOTIS D.K., 2022, The OECD Better Life Index: A Guide for Well-Being Based Economic Diplomacy, Modern Indices for International Economic Diplomacy, eds. Charles V., Emrouznejad A., Palgrave Macmillan, Cham, https://doi.org/10.1007/978-3-030-84535-3_2.
DOI: https://doi.org/10.1007/978-3-030-84535-3_2   Google Scholar

LAWRENCE J., ARIETTA S., KAZHDAN M., LEPAGE D., O’HAGAN C., 2010, A User-Assisted Approach to Visualizing Multidimensional Images, IEEE transactions on Visualization and Computer Graphics 17(10): 1487-1498, https://doi.org/10.1109/TVCG.2010.229.
DOI: https://doi.org/10.1109/TVCG.2010.229   Google Scholar

LIBERATI P., RESCE G., 2022, Regional Well-Being and Its Inequality in the OECD Member Countries, The Journal of Economic Inequality 20: 671-700, https://doi.org/10.1007/s10888-021-09521-7.
DOI: https://doi.org/10.1007/s10888-021-09521-7   Google Scholar

NAKAJIMA H., MORITA A., KANAMORI S., AIDA J., FUJIWARA T., 2022, The frequency of job participation and well-being of older people in Japan: Results from JAGES study, Archives of Gerontology and Geriatrics 104720: 1-10, https://doi.org/10.1016/j.archger.2022.104720.
DOI: https://doi.org/10.1016/j.archger.2022.104720   Google Scholar

NETO F., 2023, Brazilian International Students’ Satisfaction with Migration Life in Portugal, Journal of International Students 13(2), https://doi.org/10.32674/jis.v13i2.4782.
DOI: https://doi.org/10.32674/jis.v13i2.4782   Google Scholar

NISHAAT A., 2022, Understanding the Concepts of Subjective Well-being and Psychological Well-being, The Bulletin of the Graduate School, Soka University 43: 99-108, http://hdl.handle.net/10911/00040868.
  Google Scholar

NOWAK-OLEJNIK A., SCHIRPKE U., TAPPEINER U., 2022, A Systematic Review on Subjective Well-Being Benefits ssociated with Cultural Ecosystem Services, Ecosystem Services, 57: 101467, https://doi.org/10.1016/j.ecoser.2022.101467.
DOI: https://doi.org/10.1016/j.ecoser.2022.101467   Google Scholar

OECD, 2022, Resources for Future Well-being, https://stats.oecd.org/ (09.08.2022).
  Google Scholar

PATEL S. R., BAKKEN S., RULAND C., 2008, Recent Advances in Shared Decision Making for Mental Health, Current Opinion in Psychiatry 21(6): 606-612, https://doi.org/10.1097/YCO.0b013e32830eb6b4.
DOI: https://doi.org/10.1097/YCO.0b013e32830eb6b4   Google Scholar

SAEEDN., NAM H., HAQ M. I. U., MUHAMMAD-SAQIB D. B., 2018, A Survey on Multidimensional Scaling, ACM Computing Surveys (CSUR) 51(3): 1-25, https://doi.org/10.1145/3178155.
DOI: https://doi.org/10.1145/3178155   Google Scholar

SALOM-PÉREZ R., WULTSCH C., ADAMS J. R., SOTO-FOURNIER S., GUTIÉRREZ-ESPELETA G. A., WAITS L. P., 2022, Genetic Diversity and Population Structure for Ocelots (Leopardus Pardalis) in Costa Rica, Journal of Mammalogy 103(1): 68-81, https://doi.org/10.1093/jmammal/gyab146.
DOI: https://doi.org/10.1093/jmammal/gyab146   Google Scholar

SRIVASTAVA S., CHAUHAN S., MUHAMMAD T., SIMON D. J., KUMAR P., PATEL R., SINGH S. K., 2021, Older Adults’ Psychological and Subjective Well-Being as a Function of Household Decision Making Role: Evidence from Cross-Sectional Survey in India, Clinical Epidemiology and Global Health 10: 100676, https://doi.org/10.1016/j.cegh.2020.100676.
DOI: https://doi.org/10.1016/j.cegh.2020.100676   Google Scholar

SUN J., CROWE M., FYFE C., 2011, Extending Metric Multidimensional Scaling with Bregman Divergences, Pattern Recognition 44(5): 1137-1154, https://doi.org/10.1016/j.patcog.2010.11.013.
DOI: https://doi.org/10.1016/j.patcog.2010.11.013   Google Scholar

TAKAHASHI T., ASANO S., UCHIDA Y., TAKEMURA K., FUKUSHIMA S., MATSUSHITA K., OKUDA N., 2022, Effects of Forests and Forest-related Activities on the Subjective Well-Being of Residents in a Japanese Watershed: An Econometric Analysis Through the Capability Approach, Forest Policy and Economics 139: 102723, https://doi.org/10.1016/j.forpol.2022.102723.
DOI: https://doi.org/10.1016/j.forpol.2022.102723   Google Scholar

UN, 2022, The 17 UN Sustainable Development Goals, New York, https://sdgs.un.org/goals.
  Google Scholar

WILLIAMS M., MUNZNER T., 2004, Steerable, Progressive Multidimensional Scaling, IEEE Symposium on Information Visualization: 57-64, Texas, USA, https://doi.org/10.1109/INFVIS.2004.60.
DOI: https://doi.org/10.1109/INFVIS.2004.60   Google Scholar

ZAND M. S., WANG J., HILCHEY S., 2015, Graphical Representation of Proximity Measures for Multidimensional Data: Classical and Metric Multidimensional Scaling, The Mathematica Journal 17(7): 1-61, https://doi.org/10.3888/tmj.
DOI: https://doi.org/10.3888/tmj.17-7   Google Scholar

Download


Published
2023-07-07

Cited by

Ince, F. (2023). Comparison of Japan and OECD Countries in Terms of Well-Being Resources . Problemy Ekorozwoju, 18(2), 78–85. https://doi.org/10.35784/preko.3945

Authors

Fatma Ince 
fatma_ince@yahoo.com
Mersin University, Turkey Turkey

Statistics

Abstract views: 249
PDF downloads: 244