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2022 | 56 | nr 3 | 149--168
Tytuł artykułu

Why Don't Local Governments Buy Catastrophe Insurance? Biased Decision-Makers

Warianty tytułu
Języki publikacji
PL
Abstrakty
EN
Theoretical background: Incorporating behavioral analysis into finance allows for finding responses to many questions that researchers have not been able to answer by relying on assumptions characteristic of the traditional, normative approach. One of the areas where recently the achievements of behavioral finance have been used to analyze selected problems is public finance. In this article, we use the achievements of psychology, incorporating them into public finance, which allows us to shed new light on decisions made by public managers in Poland.

Purpose of the article: The aim of this paper is to present the reasons why local governments do not buy insurance that would protect them against potential losses resulting from the occurrence of a catastrophic event. In this paper, we rely on responses from 303 municipalities, following the premise that an obvious way to learn about motives, constraints, and the decision-making process is to ask decision-makers.

Research methods: This paper examines the influence of behavioral determinants and the level of tax revenue per capita on the decisions made by public managers. The CART method was used for this purpose. The necessary empirical data were obtained through a CAWI survey conducted in 2020 between August 1 and September 21 by a consortium of two research agencies: Biostat Research & Development Sp. z o.o. and Biostat Sp. z o.o.

Main findings: The analysis conducted in this paper demonstrates that behavioral factors significantly impact public managers' decisions not to purchase catastrophe insurance. Our results confirm the significant role of a decision maker's traits, judgments, views, feelings, and experiences in the decision-making process. (original abstract)
Rocznik
Tom
56
Numer
Strony
149--168
Opis fizyczny
Twórcy
  • Uniwersytet Ekonomiczny we Wrocławiu
  • Wroclaw University of Economics and Business
Bibliografia
  • Alm, J., & Sheffrin, S.M. (2017). Using behavioral economics in public economics. Public Finance Review, 45(1), 4-9. doi:10.1177/1091142116661411
  • Babula, E. (2010). Skłonność do podejmowania ryzyka a zasobność finansowa przedsiębiorstw. In P. Kulawczuk & A. Poszewiecki (Eds.), Behawioralne determinanty rozwoju przedsiębiorczości w Polsce. Ekonomia behawioralna finansowania przedsiębiorczości (pp. 156-169). Gdańsk: Fundacja Rozwoju Uniwersytetu Gdańskiego.
  • Baron, J., Hershey, J.C., & Kunreuther, H. (2002). Determinants of priority for risk reduction: The role of worry. Risk Analysis, 20(4), 413-428. doi:10.1111/0272-4332.204041
  • Barrows, S., Henderson, M., Peterson, P.E., & West, M.R. (2016). Relative performance information and perceptions of public service quality: Evidence from American school districts. Journal of Public Administration Research and Theory, 26(3), 571-583. doi:10.1093/jopart/muw028
  • Belardinelli, P., Bellé, N., Sicilia, M., & Steccolini, I. (2018). Framing effects under different uses of performance information: An experimental study on public managers. Public Administration Review, 78(6), 841-851.
  • Botzen, W.J.W., & van den Bergh, J.C.J.M. (2012). Risk attitudes to low-probability climate change risks: WTP for flood insurance. Journal of Economic Behavior & Organization, 8, 151-166. doi:10.1111/puar.12969
  • Browne, M., Knoller, C., & Richter, A. (2015). Behavioral bias and the demand for bicycle and flood insurance. Journal of Risk and Uncertainty, 50, 141-160. doi:10.1007/s11166-015-9212-9
  • Buurman, M., Delfgaauw, J., Dur, R., & Van den Bossche, S. (2012). Public sector employees: Risk averse and altruistic? Journal of Economic Behavior & Organization, 83(3), 279-291. doi:10.2139/ssrn.2094954
  • Cullis, J., Jones, P., & Savoia, A. (2012). Social norms and tax compliance: Framing the decision to pay tax. The Journal of Socio-Economics, 41(2), 159-168. doi:10.1016/j.socec.2011.12.003
  • Dawes, R.M. (1998). Behavioral decision making and judgment. In D.T. Gilbert, S.T. Fiske, & G. Lindzey (Eds.), The Handbook of Social Psychology (pp. 497-548). New York: McGraw-Hill. doi:10.1002/9780470561119
  • Delbufalo, E. (2015). Subjective trust and perceived risk influences on exchange performance in supplier-manufacturer relationships. Scandinavian Journal of Management, 31(1), 84-101. doi:10.1016/j.scaman.2014.06.002
  • Du Gay, P. (2008). 'Without affection or enthusiasm' problems of involvement and attachment in 'responsive' public management. Organization, 15(3), 335-353. doi:10.1177/1350508408088533
  • Fang, H., & Silverman, D. (2006). Distinguishing between cognitive biases. In E.J. McCaffery & J. Slemrod (Eds.), Behavioral Public Finance (pp. 47-81). New York: Russell Sage Foundation.
  • Fang, H., & Silverman, D. (2009). Time-inconsistency and welfare program participation: Evidence from the NLSY. International Economic Review, 50(4), 1043-1077. doi:10.3386/w13375
  • Fehr, E., & Zych, P.K. (2000). Intertemporal choice under habit formation. IEW - Working Papers 043. Institute for Empirical Research in Economics, University of Zurich. doi:10.2139/ssrn.230025
  • Fennell, L.A. (2006). Hyperopia in public finance. In E.J. McCaffery & J. Slemrod (Eds.), Behavioral Public Finance (pp. 141-171). New York: Russell Sage Foundation.
  • Frisch, D., & Clemen, R.T. (1994). Beyond expected utility: Rethinking behavioral decision research. Psychological Bulletin, 116(1), 46-54. doi:10.1037/0033-2909.116.1.46
  • Gallagher, J. (2014). Learning about an infrequent event: Evidence from flood insurance take-up in the United States. American Economic Journal: Applied Economics, 6(3), 206-233. doi:10.1257/app.6.3.206
  • Gawin, M., & Swacha-Lech, M. (2021). Determinants of catastrophe insurance purchasing by communes - behavioural perspective. Research Papers of Wroclaw University of Economics and Business, Economics and Finance, 1(65), 11-27. doi:10.15611/pn.2021.1.02
  • Gervais, S. (2010). Capital budgeting and other investment decisions. In H. Kent Baker & J.R. Nofsinger (Eds.), Behavioral Finance Investors, Corporations, and Markets (pp. 413-434). Hoboken: John Wiley & Sons. doi:10.1002/9781118258415
  • Haynes, L.C., Green, D.P., Gallagher, R., John, P., & Torgerson, D.J. (2013). Collection of delinquent fines: An adaptive randomized trial to assess the effectiveness of alternative text messages. Journal of Policy Analysis and Management, 32(4), 718-730. doi:10.1002/pam.21717
  • Hertwig, R., Barron, G., Weber, E., & Erev, I. (2004). Decisions from experience and the effect of rare events in risky choice. Psychological Science, 15(8), 534-539. doi:10.1111/j.0956-7976.2004.00715.x
  • Jastrzębska, M., Janowicz-Lomott, M., & Łyskawa, K. (2014). Zarządzanie ryzykiem w działalności jednostek samorządu terytorialnego ze szczególnym uwzględnieniem ryzyka katastroficznego. Warszawa: Wolters Kluwer.
  • Johnson, E.J., Hershey, J., Meszaros, J., & Kunreuther, H. (1993). Framing, probability distortions and insurance decisions. Journal of Risk and Uncertainty, 7, 35-51. doi:10.1007/bf01065313
  • Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-292. doi:10.2307/1914185
  • Kondratowicz, P. (2012). Przegląd systemów ubezpieczenia ryzyk katastroficznych w wybranych krajach Unii Europejskiej. Wiadomości Ubezpieczeniowe: Powódź - Infrastruktura - Finansowanie, 1, 59-63.
  • Kuligowska, A. (2021). Finansowe aspekty korzystania z ochrony ubezpieczeniowej przez gminy w Polsce. Toruń: Wyd. Adam Marszałek.
  • Kunreuther, H., & Heal, G. (2012). Managing catastrophic risk. NBER Working Paper, 18136. doi:10.3386/w18136
  • Kunreuther, H., Novemsky, N., & Kahneman, D. (2001). Making low probabilities useful. Journal of Risk and Uncertainty, 23, 103-120. doi:10.1023/a:1011111601406
  • Kunreuther, H., & Pauly, M.V. (2004). Neglecting disaster: Why don't people insure against large losses? Journal of Risk and Uncertainty, 28, 5-21. doi:10.1023/b:risk.0000009433.25126.87
  • Laury, S.K., McInnes, M.M., & Swarthout, J.T. (2009). Insurance decisions for low-probability losses. Journal of Risk and Uncertainty, 39(1), 17-44. doi:10.1007/s11166-009-9072-2
  • Liu, X., Stoutenborough, J., & Vedlitz, A. (2017). Bureaucratic expertise, overconfidence, and policy choice. Governance, 30(4), 705-725. https://doi.org/10.1111/gove.12257
  • McCaffery, E.J.,& Baron, J. (2004).Framing and taxation: Evaluation of tax policies involving household composition. Journal of Economic Psychology, 25(6), 679-705. doi:10.1016/j.joep.2003.07.001
  • McClelland, G.H., Schulze, W.D., & Coursey, D.L. (1993). Insurance for low-probability hazards: a bimodal response to unlikely events. Journal of Risk and Uncertainty, 7(1), 95-116. doi:10.1007/bf01065317
  • Munich RE. (2018a). NatCatSERVICE. Retrieved from https://www.munichre.com/en/solutions/for-industry-clients/natcatservice.html
  • Munich RE. (2018b). Topics Geo - Natural disasters 2017. Retrieved from https://www.munichre.com/topics-online/en/climate-change-and-natural-disasters/natural-disasters/topics-geo-2017.html
  • Munich RE. (2020). Retrieved from https://www.munichre.com/en/risks/natural-disasters-losses-are-trending-upwards.html
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171663592

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