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Multidimensional Assessment of Polish Farm Household Financial Security by TOPSIS and Generalised Distance Measure

Author

Listed:
  • Andrzej Woloszyn
  • Joanna Stanislawska
  • Romana Głowicka-Woloszyn
  • Agnieszka Kozera
  • Anna Rosa

Abstract

Purpose: Financial security is a multidimensional term, with its level is depending, in subjective and objective terms, on many socio-demographic conditions. This article aims to assess Polish farm households’ financial security by means of a combined measure. Design/Methodology/Approach: The study was based on non-identified (raw) individual data originating from the Social Diagnosis Study conducted by the Social Monitoring Council in 2015. Due to non-metric nature of many simple criteria, in order to construct a combined measure of the farm - household financial security level, a Generalised Distance Measure (GDM) was used along with TOPSIS. Findings: Farm households are classified by types and profiles that have been developed of households featuring the highest and the lowest level of financial security. The study revealed significant differences among farm households in terms of their financial security level in both, subjective and objective terms. Practical Implications: This research is interesting for methodological reasons, since a single methodology for studying the level of financial security and identifying its determinants has yet to be developed. The problem is not just the multidimensional character of the phenomenon and the lack of an unequivocally defined set of variables characterising it. The choice of appropriate statistical methods is also an important consideration, e.g., for constructing a single synthetic financial security indicator and dedicated software. Originality/value: To the authors’ knowledge, no one has hitherto made any studies concerning the multi-aspect assessment of the household financial security level based on a combined feature, the construction of which takes account of objective criteria (quantified on strong measurement scales) as well as subjective ones (measured on weak scales).

Suggested Citation

  • Andrzej Woloszyn & Joanna Stanislawska & Romana Głowicka-Woloszyn & Agnieszka Kozera & Anna Rosa, 2021. "Multidimensional Assessment of Polish Farm Household Financial Security by TOPSIS and Generalised Distance Measure," European Research Studies Journal, European Research Studies Journal, vol. 0(4 - Part ), pages 534-553.
  • Handle: RePEc:ers:journl:v:xxiv:y:2021:i:4-part1:p:534-553
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    References listed on IDEAS

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    1. Javier Espinosa & Jorge Friedman & Carlos Yevenes, 2014. "Adverse Shocks and Economic Insecurity: Evidence from Chile and Mexico," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S1), pages 141-158, May.
    2. Yijia Lin & Martin F. Grace, 2007. "Household Life Cycle Protection: Life Insurance Holdings, Financial Vulnerability, and Portfolio Implications," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(1), pages 141-173, March.
    3. repec:bla:revinw:v:60:y:2014:i::p:s141-s158 is not listed on IDEAS
    4. B. Douglas Bernheim & Lorenzo Forni & Jagadeesh Gokhale & Laurence J. Kotlikoff, 2003. "The Mismatch Between Life Insurance Holdings and Financial Vulnerabilities: Evidence from the Health and Retirement Study," American Economic Review, American Economic Association, vol. 93(1), pages 354-365, March.
    5. Ajay Mahal & Meena Seshu & Shashikant Mane & Shanti Lal, 2012. "Old Age Financial Security in the Informal Sector: Sex Work in India," Journal of South Asian Development, , vol. 7(2), pages 183-202, October.
    6. Kozera, Agnieszka & Stanisławska, Joanna & Głowicka-Wołoszyn, Romana, 2016. "Financial Security Of Polish Households," Journal of Agribusiness and Rural Development, University of Life Sciences, Poznan, Poland, vol. 41(3).
    7. Maria Piotrowska, 2017. "The impact of consumer behavior on financial security of households in Poland," Contaduría y Administración, Accounting and Management, vol. 62(2), pages 19-20, Abril-Jun.
    8. Greninger, Sue A. & Hampton, Vickie L. & Kitt, Karrol A. & Achacoso, Joseph A., 1996. "Ratios and benchmarks for measuring the financial well-being of families and individuals," Financial Services Review, Elsevier, vol. 5(1), pages 57-70.
    9. Corman, Hope & Noonan, Kelly & Reichman, Nancy E. & Schultz, Jennifer, 2012. "Effects of financial insecurity on social interactions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(5), pages 574-583.
    10. Swami, Viren & Tovée, Martin J. & Furnham, Adrian, 2008. "Does financial security influence judgements of female physical attractiveness?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(4), pages 1363-1370, August.
    11. Kozera, Agnieszka & Głowicka-Wołoszyn, Romana & Stanisławska, Joanna, 2014. "Niedobory Konsumpcji w Gospodarstwach Domowych Rolników po Wstąpieniu Polski do Unii Europejskiej," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2014(6).
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    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G50 - Financial Economics - - Household Finance - - - General

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