2490 Views
276 Downloads |
Political economics and citizens’ engagement in Croatia: a differential analysis
Francisco Bastida*
Article | Year: 2023 | Pages: 41 - 70 | Volume: 47 | Issue: 1 Received: June 1, 2022 | Accepted: December 15, 2022 | Published online: March 6, 2023
|
FULL ARTICLE
FIGURES & DATA
REFERENCES
CROSSMARK POLICY
METRICS
LICENCING
PDF
|
|
Variable
|
Description
|
Mean
|
Std. dev.
|
Min
|
Max
|
|
Dependent
|
lrscale
|
Placement on left right scale.
0 Left - 10 Right
|
5.13
|
2.19
|
0
|
10
|
|
Income
|
gincdif
|
Government should reduce differences in income
levels.
1 Agree strongly - 5 Disagree strongly
|
2.17
|
1.02
|
1
|
5
|
|
hinctnta
|
Household's total net income, all sources.
1 1st decile - 10 10th decile
|
5.52
|
2.73
|
1
|
10
|
|
lknemny
|
How likely not enough money for household
necessities next 12 months.
1 Not at all likely - 4 Very likely
|
2.00
|
0.89
|
1
|
4
|
|
imprich
|
Important to be rich, have money and expensive
things.
1 Very much like me - 6 Not like me at all
|
4.13
|
1.33
|
1
|
6
|
|
Redistribution
|
sbstrec
|
Social benefits/services place too great strain on
economy.
1 Agree strongly - 5 Disagree strongly
|
3.02
|
1.05
|
1
|
5
|
|
sbprvpv
|
Social benefits/services prevent widespread poverty.
1 Agree strongly - 5 Disagree strongly
|
2.55
|
0.98
|
1
|
5
|
|
sbeqsoc
|
Social benefits/services lead to a more equal
society.
1 Agree strongly - 5 Disagree strongly
|
2.70
|
0.99
|
1
|
5
|
|
sbbsntx
|
Social benefits/services cost businesses too much in
taxes/charges.
1 Agree strongly - 5 Disagree strongly
|
2.97
|
1.05
|
1
|
5
|
|
sblazy
|
Social benefits/services cost make people lazy.
1 Agree strongly - 5 Disagree strongly
|
2.92
|
1.12
|
1
|
5
|
|
Immigration
|
imsclbn
|
When should immigrants obtain rights to social
benefits/services?
1 Immediately on arrival - 5 They should never get the same rights
|
3.17
|
1.01
|
1
|
5
|
|
imbgeco
|
Immigration bad or good for country's economy.
0 Bad for the economy – 10 Good for the economy
|
5.10
|
2.40
|
0
|
10
|
|
Social welfare system
|
uentrjb
|
Most unemployed people do not really try to find a
job.
1 Agree strongly - 5 Disagree strongly
|
3.01
|
1.09
|
1
|
5
|
|
lbenent
|
Many with very low incomes get less benefit than
legally entitled to.
1 Agree strongly - 5 Disagree strongly
|
2.68
|
0.96
|
1
|
5
|
|
bennent
|
Many manage to obtain benefits/services not entitled
to.
1 Agree strongly - 5 Disagree strongly
|
2.47
|
0.98
|
1
|
5
|
|
Environment
|
impenv
|
Important to care for nature and environment.
1 Very much like me - 6 Not like me at all
|
2.15
|
1.03
|
1
|
6
|
|
Personal features
|
rlgblg_r
|
Belonging to particular religion or denomination.
1 Yes - 0 No (recoded)
|
0.58
|
0.49
|
0
|
1
|
|
gndr_r
|
Gender
0 Female - 1 Male (recoded)
|
0.50
|
0.50
|
0
|
1
|
|
agea
|
Age of respondent, calculated.
age in years
|
48.21
|
17.59
|
15
|
98
|
|
blgetmg_r
|
Belong to minority ethnic group in country
1 Yes - 0 No (recoded)
|
0.06
|
0.23
|
0
|
1
|
All variables obtained from the ESS, rounds 1 (2002) to 9 (2020). Croatia is available in rounds 4 (2008), 5 (2010) and 9 (2020). Total observations: N= 50,718.
|
lrscale
|
gincdif
|
hinctnta
|
lknemny
|
imprich
|
sbstrec
|
sbprvpv
|
sbeqsoc
|
sbbsntx
|
sblazy
|
imsclbn
|
imbgeco
|
uentrjb
|
lbenent
|
bennent
|
impenv
|
rlgblg_r
|
gndr_r
|
agea
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
gincdif
|
0.17
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
hinctnta
|
0.06
|
0.18
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
lknemny
|
-0.04
|
-0.17
|
-0.31
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
imprich
|
-0.09
|
-0.05
|
-0.09
|
-0.07
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
sbstrec
|
-0.11
|
-0.08
|
-0.01
|
0.03
|
0.03
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
sbprvpv
|
0.04
|
0.00
|
-0.03
|
0.12
|
-0.05
|
0.06
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
sbeqsoc
|
0.04
|
0.04
|
-0.03
|
0.12
|
-0.03
|
-0.01
|
0.54
|
|
|
|
|
|
|
|
|
|
|
|
|
|
sbbsntx
|
-0.14
|
-0.07
|
0.00
|
0.00
|
0.04
|
0.46
|
0.05
|
0.02
|
|
|
|
|
|
|
|
|
|
|
|
|
sblazy
|
-0.12
|
-0.09
|
0.01
|
0.06
|
0.00
|
0.38
|
0.01
|
-0.05
|
0.34
|
|
|
|
|
|
|
|
|
|
|
|
imsclbn
|
0.11
|
-0.01
|
-0.06
|
0.09
|
-0.08
|
-0.06
|
0.07
|
0.09
|
-0.08
|
-0.08
|
|
|
|
|
|
|
|
|
|
|
imbgeco
|
-0.06
|
0.08
|
0.16
|
-0.17
|
0.05
|
0.07
|
-0.09
|
-0.11
|
0.11
|
0.09
|
-0.31
|
|
|
|
|
|
|
|
|
|
uentrjb
|
-0.11
|
-0.02
|
0.06
|
-0.02
|
0.05
|
0.23
|
-0.06
|
-0.07
|
0.22
|
0.42
|
-0.12
|
0.15
|
|
|
|
|
|
|
|
|
lbenent
|
0.04
|
0.21
|
0.15
|
-0.19
|
0.03
|
-0.04
|
-0.03
|
-0.01
|
0.01
|
-0.03
|
-0.04
|
0.09
|
0.09
|
|
|
|
|
|
|
|
bennent
|
-0.07
|
0.06
|
0.08
|
-0.06
|
0.04
|
0.17
|
-0.05
|
-0.07
|
0.19
|
0.28
|
-0.15
|
0.17
|
0.32
|
0.23
|
|
|
|
|
|
|
impenv
|
0.05
|
0.09
|
0.01
|
0.03
|
-0.05
|
-0.02
|
0.04
|
0.05
|
-0.01
|
-0.03
|
0.02
|
-0.04
|
-0.02
|
0.06
|
0.05
|
|
|
|
|
|
rlgblg_r
|
0.11
|
-0.07
|
-0.09
|
0.05
|
-0.01
|
-0.02
|
0.00
|
-0.03
|
-0.04
|
-0.02
|
0.00
|
-0.02
|
-0.04
|
-0.09
|
-0.07
|
-0.05
|
|
|
|
|
gndr_r
|
0.03
|
0.07
|
0.10
|
-0.07
|
-0.11
|
-0.03
|
-0.01
|
-0.03
|
-0.01
|
-0.02
|
0.01
|
0.05
|
0.01
|
0.03
|
0.00
|
0.05
|
-0.09
|
|
|
|
agea
|
0.02
|
-0.08
|
-0.22
|
-0.04
|
0.25
|
-0.02
|
-0.02
|
0.00
|
-0.02
|
-0.02
|
0.05
|
-0.06
|
-0.02
|
-0.02
|
-0.04
|
-0.12
|
0.15
|
-0.04
|
|
|
blgetmg_r
|
-0.06
|
-0.03
|
-0.07
|
0.08
|
-0.07
|
0.04
|
0.01
|
0.00
|
0.01
|
0.03
|
-0.04
|
0.03
|
0.02
|
-0.03
|
0.01
|
0.01
|
0.06
|
0.01
|
-0.06
|
|
Dept. variable:
lrscale
0 Left - 10 Right
|
Definition
|
Expect. sign
|
European countries
|
Croatia
|
|
|
OLS
|
Ordered probit
|
OLS
|
Ordered probit
|
Multilevel
|
|
|
Income
|
gincdif
|
Government should
reduce differences in income levels.
|
(+)
|
0.32***
|
0.15***
|
0.24**
|
0.11**
|
0.25***
|
|
|
32.4
|
32.0
|
2.1
|
2.2
|
3.1
|
|
|
hinctnta
|
Household's total net
income, all sources.
|
(+)
|
0.02***
|
0.01***
|
-0.02
|
-0.01
|
-0.03
|
|
|
7.0
|
8.1
|
-0.7
|
-0.9
|
-0.9
|
|
|
lknemny
|
How likely for there
not to be enough money for household necessities next 12 months.
|
(-)
|
-0.05***
|
-0.02***
|
-0.06
|
-0.03
|
-0.06
|
|
|
-4.8
|
-4.5
|
-0.5
|
-0.6
|
-0.3
|
|
|
imprich
|
Important to be rich,
have money and expensive things.
|
(-)
|
-0.09***
|
-0.06***
|
0.05
|
0.02
|
0.04
|
|
|
-12.1
|
-17.2
|
0.8
|
0.7
|
0.5
|
|
|
Redistribution
|
sbstrec
|
Social
benefits/services place too great strain on economy.
|
(-)
|
-0.14***
|
-0.04***
|
0.06
|
0.03
|
0.06
|
|
|
-12.9
|
-8.8
|
0.5
|
0.5
|
1.1
|
|
|
sbprvpv
|
Social
benefits/services prevent widespread poverty.
|
(+)
|
0.02**
|
0.02***
|
-0.31**
|
-0.14***
|
-0.25**
|
|
|
2.4
|
5.1
|
-2.5
|
-2.7
|
-2.2
|
|
|
sbeqsoc
|
Social
benefits/services lead to a more equal society.
|
(+)
|
0.02*
|
0.00
|
0.20
|
0.09
|
0.15
|
|
|
1.8
|
0.8
|
1.5
|
1.5
|
1.1
|
|
|
sbbsntx
|
Social
benefits/services cost businesses too much in taxes/charges.
|
(-)
|
-0.14***
|
-0.07***
|
-0.32***
|
-0.14***
|
-0.32***
|
|
|
-13.2
|
-15.0
|
-2.6
|
-2.6
|
-6.7
|
|
|
sblazy
|
Social
benefits/services cost make people lazy.
|
(-)
|
-0.10***
|
-0.03***
|
-0.12
|
-0.05
|
-0.14**
|
|
|
-9.4
|
-7.0
|
-1.0
|
-0.9
|
-2.0
|
|
|
Immigration
|
imsclbn
|
When should immigrants
obtain rights to social benefits/services?
|
(+)
|
0.13***
|
0.07***
|
0.18*
|
*0.08
|
0.13**
|
|
|
13.2
|
15.9
|
1.7
|
1.7
|
2.1
|
|
|
imbgeco
|
Immigration bad
or good for country's economy.
|
(-)
|
-0.02***
|
-0.01***
|
-0.11**
|
-0.05**
|
-0.10**
|
|
|
-4.2
|
-5.0
|
-2.4
|
-2.4
|
-2.4
|
|
|
Social welfare system
|
uentrjb
|
Most unemployed people
do not really try to find a job.
|
(-)
|
-0.089***
|
-0.04***
|
-0.00
|
0.00
|
0.00
|
|
|
-8.6
|
-9.5
|
0.0
|
0.1
|
0.0
|
|
|
lbenent
|
Many with very low
incomes get less benefit than their legal entitlement.
|
(+)
|
0.071***
|
0.02***
|
0.03
|
0.02
|
0.02
|
|
|
6.6
|
4.4
|
0.3
|
0.3
|
0.7
|
|
|
bennent
|
Many manage to
obtain benefits/services they are not entitled to.
|
(-)
|
-0.05***
|
-0.01**
|
0.03
|
0.00
|
0.07
|
|
|
-4.5
|
-2.0
|
0.2
|
0.1
|
0.5
|
|
|
Environment
|
impenv
|
Important to
care for nature and environment.
|
(+)
|
0.08***
|
0.03***
|
-0.04
|
-0.01
|
-0.06
|
|
|
8.7
|
8.4
|
-0.5
|
-0.3
|
-1.1
|
|
|
Personal features
|
rlgblg_r
|
Belonging to
particular religion or denomination.
|
(+)
|
0.50***
|
0.26***
|
1.08***
|
0.50***
|
1.06*
|
|
|
25.2
|
28.2
|
4.3
|
4.4
|
1.8
|
|
|
gndr_r
|
Gender
|
¿?
|
0.10***
|
0.04***
|
0.11
|
0.05
|
0.10
|
|
|
5.6
|
4.4
|
0.5
|
0.6
|
0.4
|
|
|
agea
|
Age of respondent,
calculated.
|
(-)
|
0.00***
|
0.00***
|
0.00
|
0.00
|
0.00
|
|
|
8.5
|
8.8
|
0.2
|
0.1
|
0.0
|
|
|
blgetmg_r
|
Belong to minority
ethnic group in country
|
(-)
|
-0.75***
|
-0.31***
|
-0.96*
|
-0.47*
|
-1.05
|
|
|
-17.0
|
-14.7
|
-1.7
|
-1.8
|
-1.5
|
|
|
N
|
50,713
|
|
552
|
|
|
|
R-squared
|
0.13
|
|
0.12
|
|
|
|
Maximum VIF
|
1.55
|
|
|
|
|
|
Log
pseudolikelihood
|
|
|
|
|
-1,228.72
|
 Sig.:*10%,**5%,***1%. Total number of observations 318,048. Sample is ESS round 4 (2008), 5 (2010) and 9 (2020). All countries vs. Croatia. Variables description: − cntry_HR_r: Country is Croatia 1, otherwise 0. − nwsppol: Newspaper reading, politics/current affairs on average weekday: (0) No time at all, (1) Less than 0,5 hour, (2) 0,5 hour to 1 hour, (3) More than 1 hour, up to 1,5 hours, (4) More than 1,5 hours, up to 2 hours, (5) More than 2 hours, up to 2,5 hours, (6) More than 2,5 hours, up to 3 hours, (7) More than 3 hours. − nwspol: On a typical day, about how much time (in minutes) do you spend watching, reading or listening to news about politics and current affairs? − tvpol: On an average weekday, how much of your time watching television is spent watching news or programmes about politics and current affairs? (0) No time at all, (1) Less than 0,5 hour, (2) 0,5 hour to 1 hour, (3) More than 1 hour, up to 1,5 hours, (4) More than 1,5 hours, up to 2 hours, (5) More than 2 hours, up to 2,5 hours, (6) More than 2,5 hours, up to 3 hours, (7) More than 3 hours.
Sig.:*10%,**5%,***1%. Total number of observations 688. Sample is ESS round 4 (2008), Croatia subsample. Variables description: − uemplwk_error_optimist: Real unemployment of the country – interviewee’s guess of their country’s unemployment. This latter variable coded as uemplwk on ESS round 4 and ESS round 8: “Of every 100 people of working age in [country] how many would you say are unemployed and looking for work? If you are not sure please give your best guess.” − elect2007_voted_the_ruling_party: Interviewee voted for party currently ruling Croatia 1, otherwise 0.
Top figure reports variable rile: Volkens et al. (2021) publish the Manifesto dataset, with a variable called rile, which measures the left (minimum value) vs. right (maximum value). Bottom figure reports variable lrscale: European Social Survey.
Sig.:*10%,**5%,***1%. Total number of observations 31. Variable voter_turnout_parliam: Voter turnout in last parliamentary election.
Sig.:*10%,**5%,***1%. Total number of observations 31.
Sig.:*10%,**5%,***1%. Total number of observations 117. Variable cobi_2019: 2019 Open budget index, as computed by the Open Budget Partnership. Higher value means more budget transparency.
Sig.:*10%,**5%,***1%. Total number of observations 411,111. ESS variable trstprl: Trust in country’s parliament. “Please tell me on a score of 0-10 how much you personally trust each of the institutions I read out. 0 means you do not trust an institution at all, and 10 means you have complete trust. [Country]’s parliament?”
Sig.:*10%,**5%,***1%. Total number of observations 413,939. ESS variable trstplt: Trust in politicians. “Please tell me on a score of 0-10 how much you personally trust each of the institutions I read out. 0 means you do not trust an institution at all, and 10 means you have complete trust. Politicians?”
Abramowitz, A. and McCoy, J., 2019. United States: Racial resentment, negative partisanship, and polarization in Trump’s America. The ANNALS of the American Academy of Political and Social Science, 681(1), pp. 137-156 [ CrossRef]
Ančić, B., Baketa, N. and Kovačić, M., 2019. Exploration of class and political behavior in Croatia. International Journal of Sociology, 49(4), pp. 264-281 [ CrossRef]
Ateljevic, J. and Budak, J., 2010. Corruption and public procurement: example from Croatia. Journal of Balkan and Near Eastern Studies, 12(4), pp. 375-397 [ CrossRef]
Bellamy, A. J., 2003. The formation of Croatian national identity: A centuries-old dream? Manchester University Press [ CrossRef]
Bisgaard, M., 2015. Bias will find a way: Economic perceptions, attributions of blame, and partisan-motivated reasoning during crisis. The Journal of Politics, 77(3), pp. 849-860 [ CrossRef]
Boeri, T., Börsch-Supan, A. and Tabellini, G., 2001. Would you like to shrink the welfare state? A survey of European citizens. Economic Policy, 16(32), pp. 8-50 [ CrossRef]
Bojar, A., 2015. Intra-Governmental Bargaining and Political Budget Cycles in the European Union. European Union Politics, 16(1), pp. 90-115 [ CrossRef]
Bouckaert, G. and van de Walle, S., 2003. Comparing Measures of Citizen Trust and User Satisfaction as Indicators of `Good Governance': Difficulties in Linking Trust and Satisfaction Indicators. International Review of Administrative Sciences, 69(3), pp. 329-343 [ CrossRef]
Boulianne, S., 2015. Social media use and participation: A meta-analysis of current research. Information, Communication and Society, 18(5), pp. 524-538 [ CrossRef]
Budak, J., 2007. Corruption in Croatia: Perceptions rise, problems remain. Croatian Economic Survey, (9), pp. 35-68.
Bullock, J. G. [et al.], 2015. Partisan Bias in Factual Beliefs about Politics. Quarterly Journal of Political Science, 10(4), pp. 519-578 [ CrossRef]
Chitanana, T. and Mutsvairo, B., 2019. The deferred ‘democracy dividend’of citizen journalism and social media: Perils, promises and prospects from the Zimbabwean experience. Westminster Papers in Communication and Culture, 14(1), pp. 66-80 [ CrossRef]
Citrin, J. and Stoker, L., 2018. Political trust in a cynical age. Annual Review of Political Science, 21, pp. 49-70 [ CrossRef]
Ciuk, D. J., Lupton, R. N. and Thornton, J. R., 2018. Values voters: The conditional effect of income on the relationship between core values and political attitudes and behavior. Political Psychology, 39(4), pp. 869-888 [ CrossRef]
Diercks, D. and Landreville, K. D., 2016. The Indirect Effects of Partisanship and Partisan Media on Knowledge About Same-Sex Marriage Policy: Exploring the Knowledge and Belief Gap Hypotheses. Mass Communication and Society, 20(2), pp. 192-212 [ CrossRef]
Dubois, E. and Blank, G., 2018. The echo chamber is overstated: the moderating effect of political interest and diverse media. Information, Communication and Society, 21(5), pp. 729-745 [ CrossRef]
Evans, G. and Neundorf, A., 2020. Core political values and the long-term shaping of partisanship. British Journal of Political Science, 50(4), pp. 1263-1281 [ CrossRef]
Fielding, K. S. [et al.], 2012. Australian politicians’ beliefs about climate change: political partisanship and political ideology. Environmental Politics, 21(5), pp. 712-733 [ CrossRef]
Florentina, H. H. and Dritero, A., 2020. The importance of public participation in building up democracies in former Yugoslav states. Case study: Kosovo and Croatia. UBT Knowledge Center, No. 28.
García-Sánchez, I. M., Mordán, N. and Cuadrado-Ballesteros, B., 2014. Do Electoral Cycles Affect Local Financial Health? Policy Studies, 35(6), pp. 533-556 [ CrossRef]
Godefroidt, A., Langer, A. and Meuleman, B., 2017. Developing political trust in a developing country: The impact of institutional and cultural factors on political trust in Ghana. Democratization, 24(6), pp. 906-928 [ CrossRef]
Hemingway, A., 2022. Does Class Shape Legislators’ Approach to Inequality and Economic Policy? A Comparative View. Government and Opposition, 57(1), pp. 84-107 [ CrossRef]
Hetherington, M. J. and Rudolph, T. J., 2015. Why Washington won't work. In: Why Washington Won't Work. University of Chicago Press [ CrossRef]
Jost, J. T., Christopher M. F. and Napier, J. L., 2009. Political Ideology: Its Structure, Functions, and Elective Affinities. Annual Review of Psychology, 60, pp. 7-37 [ CrossRef]
Park, M. J. [et al.], 2015. Trust in government’s social media service and citizen’s patronage behavior. Telematics and Informatics, 32(4), pp. 629-641 [ CrossRef]
Robison, J. and Mullinix, K. J., 2016. Elite polarization and public opinion: How polarization is communicated and its effects. P olitical Communication, 33(2), pp. 261-282 [ CrossRef]
Švaljek, S., Rašić Bakarić, I. and Sumpor, M., 2019. Citizens and the city: the case for participatory budgeting in the City of Zagreb. Public Sector Economics, 43(1), pp. 21-48 [ CrossRef]
Switzer, D., 2017. Citizen partisanship, local government, and environmental policy implementation. Urban Affairs Review, 55(3), pp. 675-702 [ CrossRef]
Torcal, M., 2017. Political trust in western and southern Europe. In: Handbook on political trust. Edward Elgar Publishing.
Van Bavel, J. J. and Pereira, A., 2018. The partisan brain: An identity-based model of political belief. Trends in Cognitive Sciences, 22(3), pp. 213-224 [ CrossRef]
Volkens, A. [et al.], 2021. T he Manifesto Data Collection. Manifesto Project (MRG/CMP/MARPOR). Version 2021a. Berlin: Wissenschaftszentrum Berlin für Sozialforschung (WZB) [ CrossRef]
Vuković, V., 2017. The political economy of local government in Croatia: winning coalitions, corruption, and taxes. Public Sector Economics, 41(4), pp. 387-420 [ CrossRef]
Williamson, V., Skocpol, T. and Coggin, J., 2011. The Tea Party and the remaking of Republican conservatism. Perspectives on Politics, 9(1), pp. 25-43 [ CrossRef]
Wu, W., Ma, L. and Yu, W., 2017. Government Transparency and Perceived Social Equity: Assessing the Moderating Effect of Citizen Trust in China. Administration & Society, 49(6), pp. 882-906 [ CrossRef]
|
|
March, 2023 I/2023
|