IDEAS home Printed from https://ideas.repec.org/a/ris/sphecs/0369.html
   My bibliography  Save this article

Education For Work Related To Lifestyle Health

Author

Listed:
  • DINU, Marinel Cornelius

    (The Bucharest University of Economic Studies,)

  • Goga, Nicolae

    (2Department of Engineering in Foreign Languages University Politehnica Bucharest Romania)

  • ANCUCEANU, Robert

    (3University of Medicine and Pharmacy “Carol Davila” Bucharest, Pharmaceutical botany and cell biology Department)

Abstract

Studies performed in various countries, including Romania, have shown that a number of factors are negatively impacting the health of the population at the workplace and in the household. The connection between health and work has been researched for a number of years as an important driver towards wellbeing. Several studies have been conducted in order to identify problems and to find solutions to harmonize the balance between wealth and health. Increased globalization, the chase for competitive advantage and the reduction of costs (especially labour costs) moved employers’ attention from the wellbeing of employees to higher profits. We discuss about such situations mainly in the East European Countries since the labour force is cheaper than in Western Europe. We should not forget that this current trend started in the US and was adopted also by European companies in order to increase profits. In West Europe, there are quite a number of studies regarding the relation between work and health, while in East Europe the number of such studies is quite small. The present paper proposes as an objective the study of several working factors and the relationship to health in Romania. Some of the results in our study reveal the concordance between the propensity of individuals to sacrifice from their one time and time for work without significant discrepancies between genders. Also, the more people invest in their time to rest, the more they are able to work hard without injuries. When it comes to gender characteristics, we determined slight changes in behaviour with almost the same labour pattern for both participants

Suggested Citation

  • DINU, Marinel Cornelius & Goga, Nicolae & ANCUCEANU, Robert, 2020. "Education For Work Related To Lifestyle Health," Annals of Spiru Haret University, Economic Series, Universitatea Spiru Haret, vol. 20(3), pages 99-116.
  • Handle: RePEc:ris:sphecs:0369
    as

    Download full text from publisher

    File URL: http://anale.spiruharet.ro/index.php/economics/article/view/1009
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mitra, Sophie & Gao, Qin & Chen, Wei & Zhang, Yalu, 2020. "Health, work, and income among middle-aged and older adults: A panel analysis for China," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    2. Matthew Rabin, 2002. "Inference by Believers in the Law of Small Numbers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 775-816.
    3. Daniela Pasnicu & Catalin Ghinararu, 2019. "Analysis of the Main Employment Trends at EU and Romanian Levels," Journal of Economic Development, Environment and People, Alliance of Central-Eastern European Universities, vol. 8(3), pages 22-31, September.
    4. Sato, Kaori & Kuroda, Sachiko & Owan, Hideo, 2020. "Mental health effects of long work hours, night and weekend work, and short rest periods," Social Science & Medicine, Elsevier, vol. 246(C).
    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. David M. Ritzwoller & Joseph P. Romano, 2019. "Uncertainty in the Hot Hand Fallacy: Detecting Streaky Alternatives to Random Bernoulli Sequences," Papers 1908.01406, arXiv.org, revised Apr 2021.
    2. , G. & , & ,, 2008. "Non-Bayesian updating: A theoretical framework," Theoretical Economics, Econometric Society, vol. 3(2), June.
    3. Mohrschladt, Hannes, 2021. "The ordering of historical returns and the cross-section of subsequent returns," Journal of Banking & Finance, Elsevier, vol. 125(C).
    4. Dohmen, Thomas & Falk, Armin & Huffman, David & Marklein, Felix & Sunde, Uwe, 2009. "Biased probability judgment: Evidence of incidence and relationship to economic outcomes from a representative sample," Journal of Economic Behavior & Organization, Elsevier, vol. 72(3), pages 903-915, December.
    5. Rachel Croson & James Sundali, 2005. "The Gambler’s Fallacy and the Hot Hand: Empirical Data from Casinos," Journal of Risk and Uncertainty, Springer, vol. 30(3), pages 195-209, May.
    6. Sigrid Suetens & Claus B. Galbo-Jørgensen & Jean-Robert Tyran, 2016. "Predicting Lotto Numbers: A Natural Experiment on the Gambler's Fallacy and the Hot-Hand Fallacy," Journal of the European Economic Association, European Economic Association, vol. 14(3), pages 584-607.
    7. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    8. Evan M. Calford & Anujit Charkraborty, 2022. "The Value of and Demand for Diverse News Sources," ANU Working Papers in Economics and Econometrics 2022-688, Australian National University, College of Business and Economics, School of Economics.
    9. Wu, Chen-Hui & Wu, Chin-Shun & Liu, Victor W., 2009. "The conservatism bias in an emerging stock market: Evidence from Taiwan," Pacific-Basin Finance Journal, Elsevier, vol. 17(4), pages 494-505, September.
    10. Corgnet, Brice & DeSantis, Mark & Porter, David, 2020. "The distribution of information and the price efficiency of markets," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    11. Stöckl, Thomas & Huber, Jürgen & Kirchler, Michael & Lindner, Florian, 2015. "Hot hand and gambler's fallacy in teams: Evidence from investment experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 327-339.
    12. Lex Borghans & Bas ter Weel, 2008. "Understanding the Technology of Computer Technology Diffusion: Explaining Computer Adoption Patterns and Implications for the Wage Structure," Journal of Income Distribution, Ad libros publications inc., vol. 17(3-4), pages 37-70, September.
    13. Tiziana Assenza & Te Bao & Cars Hommes & Domenico Massaro, 2014. "Experiments on Expectations in Macroeconomics and Finance," Research in Experimental Economics, in: Experiments in Macroeconomics, volume 17, pages 11-70, Emerald Group Publishing Limited.
    14. Emara, Noha & Owens, David & Smith, John & Wilmer, Lisa, 2017. "Serial correlation in National Football League play calling and its effects on outcomes," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 69(C), pages 125-132.
    15. Mirko Kremer & Francis de Véricourt, 2022. "Mismanaging diagnostic accuracy under congestion," ESMT Research Working Papers ESMT-22-01, ESMT European School of Management and Technology.
    16. André de Palma & Gordon M. Myers & Yorgos Y. Papageorgiou, 2022. "PoolLines: Imperfect Public Choice," THEMA Working Papers 2022-25, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    17. Lenka Mynaříková & Vít Pošta, 2023. "The Effect of Consumer Confidence and Subjective Well-being on Consumers’ Spending Behavior," Journal of Happiness Studies, Springer, vol. 24(2), pages 429-453, February.
    18. Miller, Joshua Benjamin & Sanjurjo, Adam, 2018. "How Experience Confirms the Gambler's Fallacy when Sample Size is Neglected," OSF Preprints m5xsk, Center for Open Science.
    19. Jonas Radbruch & Amelie Schiprowski, 2020. "Interview Sequences and the Formation of Subjective Assessments," ECONtribute Discussion Papers Series 045, University of Bonn and University of Cologne, Germany.
    20. Matthew Rabin & Dimitri Vayanos, 2010. "The Gambler's and Hot-Hand Fallacies: Theory and Applications," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 730-778.

    More about this item

    Keywords

    innovation; technology; education; lifestyle change; research projects;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    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:ris:sphecs:0369. 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: Aurelian A BONDREA or Constantin Mecu (email available below). General contact details of provider: https://edirc.repec.org/data/ffuspro.html .

    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.