IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v14y2021i10p488-d656367.html
   My bibliography  Save this article

Modeling of Social Risks in the Labor Sphere

Author

Listed:
  • Olha Shulha

    (Department of Management and Marketing, State University of Intelligent Technologies and Telecommunications, Solomyanska Str., 7, 03110 Kyiv, Ukraine)

  • Tatiana Kostyshyna

    (Department of Personnel Management, Labor Economics and Economic Theory, Poltava University of Economics and Trade, Koval Str., 3, 36014 Poltava, Ukraine)

  • Maryna Semykina

    (Department of Economics and Entrepreneurship, Central Ukrainian National Technical University, University Avenue, 8, 25006 Kropyvnytskyi, Ukraine)

  • Liudmyla Katan

    (Department of Finance, Banking and Insurance, Dnipro State Agrarian and Economic University 25, Voroshylova Str., 49027 Dnipro, Ukraine)

  • Hanna Smirnova

    (Faculty of Dentistry and Pharmacy, International Humanitarian University, St. Fontanska Doroga, 33, 65009 Odessa, Ukraine)

Abstract

Modern society has developed in such a way that social reality is characterized by the significant dynamics of all processes and their uncertainty. Under such conditions, risk accompanies any purposeful activity of the social subject, and, in turn, the latter is aimed at reducing the uncertainty of its results. The purpose of this paper is to form the basis of a comprehensive study of social risks in the labor sphere and to develop practical recommendations for minimizing their negative consequences. In order to determine the main factors influencing the probability for the unemployed not to work in the specialty in which they have trained, we used the data of a micro-level survey on economic activity of the population to build linear regression models based on structural variables. As a result of applying the method of economic-mathematical modeling, in particular the basics of probability theory, the models of social risks of unemployment in terms of occupational groups and employment of unemployed persons outside of the specialty they have trained in were developed. The models developed made it possible to formalize and identify patterns of supply and demand dynamics of labor in terms of professions, as well as to identify the main factors influencing the change in the probabilistic characteristics of employment of unemployed persons outside of the specialty they have trained in.

Suggested Citation

  • Olha Shulha & Tatiana Kostyshyna & Maryna Semykina & Liudmyla Katan & Hanna Smirnova, 2021. "Modeling of Social Risks in the Labor Sphere," JRFM, MDPI, vol. 14(10), pages 1-12, October.
    • Handle: RePEc:gam:jjrfmx:v:14:y:2021:i:10:p:488-:d:656367
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/14/10/488/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1911-8074/14/10/488/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Management Information, Decision Sciences, and Financial Economics: A Connection," Tinbergen Institute Discussion Papers 18-004/III, Tinbergen Institute.
    2. Mikkel Gabriel Christoffersen, 2018. "Risk, danger, and trust: refining the relational theory of risk," Journal of Risk Research, Taylor & Francis Journals, vol. 21(10), pages 1233-1247, October.
    3. Rui Albuquerque & Yrjö Koskinen & Chendi Zhang, 2019. "Corporate Social Responsibility and Firm Risk: Theory and Empirical Evidence," Management Science, INFORMS, vol. 65(10), pages 4451-4469, October.
    4. Devos, Erik & Rahman, Shofiqur, 2018. "Labor unemployment insurance and firm cash holdings," Journal of Corporate Finance, Elsevier, vol. 49(C), pages 15-31.
    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. Ciciretti, Rocco & Dalò, Ambrogio & Dam, Lammertjan, 2023. "The contributions of betas versus characteristics to the ESG premium," Journal of Empirical Finance, Elsevier, vol. 71(C), pages 104-124.
    2. Ballester, Laura & González-Urteaga, Ana & Shen, Long, 2024. "Green bond issuance and credit risk: International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 94(C).
    3. Jiang, Wei & Zhang, Cheng & Si, Chengyu, 2022. "The real effect of mandatory CSR disclosure: Evidence of corporate tax avoidance," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    4. Cauthorn, Thomas & Dumrose, Maurice & Eckert, Julia & Klein, Christian & Zwergel, Bernhard, 2023. "Rating changes revisited: New evidence on short-term ESG momentum," Finance Research Letters, Elsevier, vol. 54(C).
    5. Lei Zhou & Feng Wei & Yu Kong, 2022. "Do Employee Stock Ownership Plans Affect Corporate Social Responsibility? Evidence from China," IJERPH, MDPI, vol. 19(3), pages 1-19, January.
    6. Angelidis, Timotheos & Michairinas, Athanasios & Sakkas, Athanasios, 2024. "World ESG performance and economic activity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
    7. Buchetti, Bruno & Miquel-Flores, Ixart & Perdichizzi, Salvatore & Reghezza, Alessio & Lin, Luca X., 2024. "Loan guarantee and portfolio greening: evidence from European credit registers," Working Paper Series 2916, European Central Bank.
    8. Curcio, Domenico & Gianfrancesco, Igor & Onorato, Grazia & Vioto, Davide, 2024. "Do ESG scores affect financial systemic risk? Evidence from European banks and insurers," Research in International Business and Finance, Elsevier, vol. 69(C).
    9. Trinks, Arjan & Mulder, Machiel & Scholtens, Bert, 2020. "An Efficiency Perspective on Carbon Emissions and Financial Performance," Ecological Economics, Elsevier, vol. 175(C).
    10. Giglio, Stefano & Maggiori, Matteo & Ströbel, Johannes & Tan, Zhenhao & Utkus, Stephen & Xu, Xiao, 2023. "Four Facts about ESG Beliefs and Investor Portfolios," CEPR Discussion Papers 18052, C.E.P.R. Discussion Papers.
    11. Wang, Chih-Wei & Wu, Yu-Ching & Hsieh, Hsin-Yi & Huang, Po-Hsiang & Lin, Meng-Chieh, 2022. "Does green bond issuance have an impact on climate risk concerns?," Energy Economics, Elsevier, vol. 111(C).
    12. Jiancheng Shen & Chen Chen & Zheng Liu, 2023. "Does environmental investment pay off?—portfolio analyses of the E in ESG during political conflicts and public health crises," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(S1), pages 107-131, December.
    13. Lars Hornuf & Gül Yüksel, 2022. "The Performance of Socially Responsible Investments: A Meta-Analysis," CESifo Working Paper Series 9724, CESifo.
    14. Pástor, Ľuboš & Stambaugh, Robert F. & Taylor, Lucian A., 2021. "Sustainable investing in equilibrium," Journal of Financial Economics, Elsevier, vol. 142(2), pages 550-571.
    15. Aastvedt, Tonje Marthinsen & Behmiri, Niaz Bashiri & Lu, Li, 2021. "Does green innovation damage financial performance of oil and gas companies?," Resources Policy, Elsevier, vol. 73(C).
    16. Atif Ikram & Zhichuan (Frank) Li & Travis MacDonald, 2020. "CEO Pay Sensitivity (Delta and Vega) and Corporate Social Responsibility," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
    17. He, Feng & Guo, Xinyao & Yue, Pengpeng, 2024. "Media coverage and corporate ESG performance: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 91(C).
    18. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," JRFM, MDPI, vol. 11(1), pages 1-29, March.
    19. Tamas Barko & Martijn Cremers & Luc Renneboog, 2022. "Shareholder Engagement on Environmental, Social, and Governance Performance," Journal of Business Ethics, Springer, vol. 180(2), pages 777-812, October.
    20. Anagnostopoulou, Seraina C. & Tsekrekos, Andrianos E. & Voulgaris, Georgios, 2021. "Accounting conservatism and corporate social responsibility," The British Accounting Review, Elsevier, vol. 53(4).

    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:gam:jjrfmx:v:14:y:2021:i:10:p:488-:d:656367. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.