Risk Management in Public Administration

463 Pages·2017·9.32 MB·English

by  Konrad Raczkowski (eds.)

Risk Management in
Public Administration
Edited by
Konrad Raczkowski
Risk Management in Public Administration
Konrad Raczkowski
Editor
Risk Management in
Public Administration
Editor
Konrad Raczkowski
University of Social Sciences
Warsaw , Poland
ISBN 978-3-319-30876-0 ISBN 978-3-319-30877-7 (eBook)
DOI 10.1007/978-3-319-30877-7
Library of Congress Control Number: 2016946836
© Th e Editor(s) (if applicable) and Th e Author(s) 2017
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Cover illustration: © Mike Stone/Alamy Stock Photo
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Contents
1 What Does Risk Management in an Economy
Really Mean? 1
Konrad Raczkowski and Piotr Tworek
2 Elimination of Exchange Rate Risk in TTIP by Inclusion
of a Clause Linking Dollar and Euro 43
Katarzyna Żukrowska
3 Th e Eff ect of Countries’ Credit Ratings on Credit
Default Swap Spreads 71
Patrycja Chodnicka-Jaworska
4 Risk Analysis as an Instrument of Public Management 93
Marta Postuła
5 Multidimensionality of Risk in Public Safety
Management Processes 115
Barbara Kożuch and Katarzyna Sienkiewicz-Małyjurek
v
vi Contents
6 Early Warning Concept in Identifying Risks in
Business Activity 149
Katarzyna Dohn , Wojciech Zoleński , and Adam Gumiński
7 Risk Perception in the Activity of Social Enterprises 189
Martyna Wronka-Pośpiech , Aldona Frączkiewicz- Wronka ,
and Konrad Laska
8 Identifi cation of Risks Related to the Operations in
the Internet 227
Sylwia Wojciechowska-Filipek and Zbigniew Ciekanowski
9 Intellectual Capital Risk Management for Knowledge-
Based Organizations 257
Jolanta Jurczak
10 Regulatory Risk in the EU Banking Sector 283
Stanisław Kasiewicz and Lech Kurkliński
11 Th e Financial Distress of Public Sector Entities, Causes
and Risk Factors. Empirical Evidence from Europe in
the Post-crisis Period 315
Magdalena Ziolo , Małgorzata Porada-Rochon , and
Elżbieta Szaruga
12 Impact of Insurance Companies’ Investment Policy
on Risk Management in the Public Sector 3 61
Teresa Czerwińska
Contents vii
13 Personal Income Tax and the Risk of Revenue Fluctuations
in the European Union 389
Bogdan Mróz and Mariusz Sokołek
14 VAT Fraud in Selected European Union Countries and Its
Possible Macroeconomic Implications 411
Czesław Jędrzejek
Summary and Conclusions 433
About the Authors 437
Index 445
List of Figures
Fig. 1.1 Dependencies between risk, information and uncertainty,
against the background of time 9
Fig. 1.2 Types of risks in economic activities of private sector
entities 16
Fig. 1.3 Risk management process in public institutions 19
Fig. 1.4 Distribution of risk management values based on INFORM
in selected world countries 33
Fig. 4.1 Risk in international trade 107
Fig. 4.2 Risks in foreign export 108
Fig. 5.1 Fundamental processes carried out in public safety by
their management function 126
Fig. 5.2 Risk multidimensionality 134
Fig. 5.3 Assessment of the signifi cance of factors that infl uence
eff ectiveness of activities accomplished within collaboration in
public safety management (L legal dimension, O organisational
dimension, R relational dimension, S situational dimension,
E environmental dimension.) 138
Fig. 6.1 Diff erent sense of risk defi nition 153
Fig. 6.2 Characteristics of EW information 167
Fig. 6.3 Th e concept of EW tasks for identifying risks supporting
decision-m aking processes in a machine-building enterprise 178
Fig. 6.4 Scheme for creating systemic models of EW situation 182
ix
x List of Figures
Fig. 7.1 Word cloud for social enterprise (Created with http://
www.wordle.net) 200
Fig. 8.1 Individuals (% of population) having ordered/bought
goods and services for private use over the Internet in
the last three months of 2014 234
Fig. 8.2 Users of e-administration in Europe in 2014 235
Fig. 8.3 Online banking penetration in 2014 237
Fig. 8.4 Technical and non-technical information securities 240
Fig. 9.1 Features of Intellectual Capital in the context of
competitive advantage 260
Fig 9.2 Chosen fi elds of competitive advantage generated by
Intellectual Capital 261
Fig. 9.3 Risk management process 266
Fig. 9.4 Th e model of ability of IC to gain a competitive
advantage on the market 270
Fig. 9.5 Load factors statistics calculated for the IC ability model 278
Fig. 10.1 GRID method elements 304
Fig. 11.1 Means of clusters of general government sector 340
Fig. 11.2 Diff erentiation of clusters for the local government sector 350
Fig. 12.1 Average annual rates of change in the value of life
insurers’ investment portfolios and life gross written
premiums in EU countries in 2005–2013 (%) 372
Fig. 12.2 Average annual rates of change in the value of non-life
insurers’ investment portfolios and non-life gross written
premiums in EU countries in 2005–2013 (%) 373
Fig. 12.3 Evolution of life insurers’ investment portfolios in EU
countries in 2007 (l eft) , 2010 ( middle) , 2013 ( right ) 374
Fig. 12.4 Evolution of non-life insurers’ investment portfolio
in EU countries in 2007 (l eft) , 2010 ( middle) and
2013 (r ight ) 375
Fig. 12.5 Change in proportion of bonds (in %) in life insurers’
( left) and non-life insurers’ ( right ) investment portfolios
in selected EU countries in 2013 in comparison to 2007 378
Fig. 12.6 Change in proportion of shares (in %) in life insurers’
( left) and non-life insurers’ ( right ) investment portfolios
in selected EU countries in 2013 in comparison to 2007 379
Fig. 12.7 Th e structure of bonds in life insurers’ (l eft) and non-
life insurers’ ( right ) investment portfolios in 2013 (%) 381
List of Figures xi
Fig. 12.8 Th e structure of insurers’ portfolios of government
bonds in the EU by country of allocation in 2011 (in %) 382
Fig. 12.9 Aggregated proportions of government debt securities
issued by selected European Union countries in insurers’
investment portfolios (by country of issuer) in 2011 383
Fig. 14.1 GDP growth ratio for the Czech Republic, Poland, and
Slovakia in the last 10 years 412
Fig. 14.2 Gross VAT revenues, net VAT revenues and VAT
refund values between 2004 and 2013 416
Fig. 14.3 Th e ratio of VAT tax refund values to gross VAT
revenues, between 2004 and 2014 (l eft axis) 417
Fig. 14.4 Net VAT tax revenues in national currencies 2009–2014
for: Czech Republic in KCZ ( left axis) and Slovakia tin
EUR ( right axis) 417
Fig. 14.5 C-effi ciency 1, C-effi ciency 2, VRR measures together
with const/ratio (proportional to the inverse ratio of VAT
refund values to gross VAT revenues) 422