IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxivy2021i4-part1p534-553.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://ersj.eu/journal/2605/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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 & 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).
    7. 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).
    8. 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.
    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. 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.
    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. repec:ers:journl:v:xxiv:y:2021:i:4:p:534-553 is not listed on IDEAS
    2. Jiang Cheng & Lu Yu, 2019. "Life and health insurance consumption in China: demographic and environmental risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(1), pages 67-101, January.
    3. Joachim Inkmann & Alexander Michaelides, 2012. "Can the Life Insurance Market Provide Evidence for a Bequest Motive?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(3), pages 671-695, September.
    4. Jeffrey Anvari-Clark & David Ansong, 2022. "Predicting Financial Well-Being Using the Financial Capability Perspective: The Roles of Financial Shocks, Income Volatility, Financial Products, and Savings Behaviors," Journal of Family and Economic Issues, Springer, vol. 43(4), pages 730-743, December.
    5. Timothy F. Harris & Aaron Yelowitz, 2018. "Life Insurance Holdings And Well‐Being Of Surviving Spouses," Contemporary Economic Policy, Western Economic Association International, vol. 36(3), pages 526-538, July.
    6. Epper, Thomas & Fehr-Duda, Helga, 2017. "A Tale of Two Tails: On the Coexistence of Overweighting and Underweighting of Rare Extreme Events," Economics Working Paper Series 1705, University of St. Gallen, School of Economics and Political Science.
    7. Timothy F. Harris & Aaron Yelowitz, 2017. "Nudging Life Insurance Holdings In The Workplace," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 951-981, April.
    8. Jae Min Lee & Jonghee Lee & Kyoung Tae Kim, 2020. "Consumer Financial Well-Being: Knowledge is Not Enough," Journal of Family and Economic Issues, Springer, vol. 41(2), pages 218-228, June.
    9. Giovanna Apicella & Enrico G. De Giorgi, 2024. "A behavioral gap in survival beliefs," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 91(1), pages 213-247, March.
    10. Rodrigo Cifuentes & Felipe Martínez, 2020. "Over-indebtedness in Households: Measurement and Determinants," Working Papers Central Bank of Chile 869, Central Bank of Chile.
    11. Wang-Ly, Nathan & Newell, Ben R., 2022. "Allowing early access to retirement savings: Lessons from Australia," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 716-733.
    12. Yunhee Chang & Swarn Chatterjee & Jinhee Kim, 2014. "Household Finance and Food Insecurity," Journal of Family and Economic Issues, Springer, vol. 35(4), pages 499-515, December.
    13. Tom Krebs & Moritz Kuhn & Mark L. J. Wright, 2015. "Human Capital Risk, Contract Enforcement, and the Macroeconomy," American Economic Review, American Economic Association, vol. 105(11), pages 3223-3272, November.
    14. Nicholas, Lauren Hersch & Baum, Micah Y., 2020. "Wills, public policy, and financial well-being among surviving spouses," The Journal of the Economics of Ageing, Elsevier, vol. 16(C).
    15. Jeffrey Anvari-Clark & Theda Rose, 2023. "Financial Behavioral Health and Investment Risk Willingness: Implications for the Racial Wealth Gap," IJERPH, MDPI, vol. 20(10), pages 1-29, May.
    16. Dardanoni, V & Li Donni, P, 2008. "Testing For Asymmetric Information In Insurance Markets With Unobservable Types," Health, Econometrics and Data Group (HEDG) Working Papers 08/26, HEDG, c/o Department of Economics, University of York.
    17. R. Guy Thomas, 2008. "Loss Coverage as a Public Policy Objective for Risk Classification Schemes," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(4), pages 997-1018, December.
    18. Ryszard Kata & Małgorzata Wosiek, 2024. "Income Variability of Agricultural Households in Poland: A Descriptive Study," Agriculture, MDPI, vol. 14(3), pages 1-17, February.
    19. Subir Sen, 2008. "An Analysis Of Life Insurance Demand Determinants For Selected Asian Economies And India," Working Papers 2008-036, Madras School of Economics,Chennai,India.
    20. Carole Comerton‐Forde & John de New & Nicolás Salamanca & David C. Ribar & Andrea Nicastro & James Ross, 2022. "Measuring Financial Wellbeing with Self‐Reported and Bank Record Data," The Economic Record, The Economic Society of Australia, vol. 98(321), pages 133-151, June.
    21. Chatterjee, Indradeb & Hao, MingJie & Tapadar, Pradip & Thomas, R. Guy, 2024. "Can price collars increase insurance loss coverage?," Insurance: Mathematics and Economics, Elsevier, vol. 116(C), pages 74-94.

    More about this item

    Keywords

    Financial security; Generalised Distance Measure GDM; TOPSIS method; farms.;
    All these keywords.

    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

    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:ers:journl:v:xxiv:y:2021:i:4-part1:p:534-553. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.