‘Crime drop, attention drop?’
Researching the impact of the decreasing juvenile crime-rate
in The Netherlands on local municipal politics.
Master thesis (15EC)
Study:
Crisis and Security Management
Student:
Sjoerd Cornelis Hoekman
S1450158
Course:
Master Thesis Crisis & Security Management
(2019-2020)
Supervisor:
Dr. H. Mazepus
Second reader:
Dr. J. J. Kantorowicz
Date:
12-01-2020
Word count:
9350
City:
Urk (Flevoland), The Netherlands
Abstract:
Since the year of 2007, the juvenile crime-rate in The Netherlands (and internationally) has
declined rapidly. The juvenile crime-rate in The Netherlands in 2018 is almost the half of what
it was in 2007. In the academic literature this crime drop is depicted as one of the most
important puzzles in contemporary criminology. Although prominent scholars have identified
various explanations for this rapid decline in the juvenile crime-rate, the phenomenon still can’t
be fully accounted for. Since this topic is highly related to the management of crisis and
security, this research wondered if this crime drop is accompanied by a drop in political
attention for the topic.
On the basis of the literature on the topic of juvenile crime statistics, the first expectation
of this study was that the juvenile crime-rate in the selected sample of this study, the
municipalities in The Netherlands with more than 100.000 residents (the ‘G100.00-plus’),
would have decreased since 2007. Analysis of the crime statistics, as provided by the Statistics
Netherlands, showed that this was indeed the case for the G100.000-plus: the juvenile
crime-rate had declined in these municipalities.
For the study of the effects this decline had on the political attention for the topic, the
coalition agreements of 27 municipalities of the G100.00-plus were empirically analysed. This
analysis showed that the mentioning of juveniles in coalition agreements had decreased from
542 references in 2006 to 481 references in 2018. When these references were categorized into
different contexts that they were stated in, a decrease could be identified in the number of times
juveniles were discussed in a context of criminal behaviour and/or crime prevention: in 2006
juveniles were 78 times referred to in a context of criminal behaviour and/or crime prevention
to 42 times in 2018.
This decline in the reference to juveniles in a context of criminal behaviour and/or crime
prevention indicated that the local municipal attention had declined in the period 2006 to 2018
when the juvenile crime-rate had also rapidly declined. On the basis of these finding, this study
found convincing evidence that the declining juvenile crime-rate had a decreasing effect on the
municipal political attention for juvenile crimes. The crime drop in juvenile crime statistics
was accompanied by a political attention drop for the subject.
Table of contents:
1. INTRODUCTION: ... 42. THE JUVENILE CRIME-RATE IN THE NETHERLANDS: ... 6
3. THEORETICAL FRAMEWORK: ... 7
3.1 TRENDS IN JUVENILE STATISTICS: ... 7
3.2 POLITICAL ATTENTION DECLINING: ... 8
3.3 POLITICAL ATTENTION NOT DECLINING: ... 10
4. DATA AND METHODOLOGY: ... 12
4.1 RESEARCH DESIGN: ... 12
4.2 DATA: ... 14
4.2 METHODOLOGY: ... 16
4.2.1 Operationalization: ... 17
5. ANALYSIS: ... 18
5.1 JUVENILE CRIME STATISTICS: ... 18
5.1.1 Crime statistics of juvenile offences in the G100.000-plus in 2007: ... 18
5.1.2 Crime statistics of juvenile offences in the G100.000-plus in 2018: ... 19
5.1.3 Analysis and comparison: ... 21
5.2 POLITICAL ATTENTION: ... 22
5.2.1 Political attention in local politics for juvenile offences in 2006: ... 23
5.2.2 Political attention in local politics for juvenile offences in 2018: ... 23
5.2.3 Analysis and comparison: ... 24
6. CONCLUSION: ... 26
6.1 ANSWER TO THE RESEARCH QUESTION: ... 26
6.2 CONTRIBUTIONS TO THEORY: ... 27
6.3 DISCUSSION: ... 27
6.4 RECOMMENDATIONS: ... 28
REFERENCES LIST: ... 29
TABLES: ... 31
APPENDIXES: ... 39
APPENDIX A. CODEBOOK. ... 39
APPENDIX B. CODING SCHEME COALITION AGREEMENTS OF 2006. ... 40
APPENDIX C. CODING SCHEME COALITION AGREEMENTS OF 2018. ... 68
1. Introduction:
Since 2007, statistics show a rapid decline in juvenile crime suspects in The Netherlands (Van
der Laan & Weijters, 2015: 203). This is not just a phenomenon occurring in The Netherlands,
but is an international occurrence happening in most Western countries (Berghuis & De Waard,
2017: 14-15). However, juvenile delinquencies are still causing large civil unrest in society
when comes to the possession of large quantities of knives
1and the committing of the most
serious of crimes at a very young age
2. National and local governments have to act on the
prevention of crime and the formulation of policy although this dichotomy in the experience of
juvenile crimes exists. It is therefore no wonder that the Dutch academic journal ‘Tijdschrift
voor Criminologie’ issued a call for papers regarding juvenile criminality
3. They argue that the
academic literature on the topic is outdated and is in need of new research.
This research uses a political-administrative approach to the topic as it tries to depict
how political attention develops over time when a topic of interest to political executives is
declining both in its statistics as in its relevance. On the one hand, one could expect a decline
in political attention as the ‘problem’ (juvenile crime) is decreasing in its statistics. On the other
hand, one could contradict this statement by the rise of security-related issues and the
importance that is given in today’s society to such topics. The aim of this research is to clarify
the consequences of the declining juvenile crime-rate given the two contrasting bodies of
literature.
To answer this specific interest on the consequences of the decline of the juvenile
crime-rate on local municipal policies, this research is structured around the following research
question: To what extent has the decrease of the juvenile crime-rate in The Netherlands since
2007 impacted municipal political attention for the subject?
1 NOS (06-01-2020), ‘Politie vindt groot aantal messen bij groep Amsterdamse minderjarigen’, on:
https://nos.nl/artikel/2317555-politie-vindt-groot-aantal-messen-bij-groep-amsterdamse-minderjarigen.html?utm_campaign=Nieuwsuur%20Vandaag&utm_medium=email&utm_source=Revue%20ne wsletter [visited on 07-01-2020].
2 RTL Nieuws (14-07-2019), ‘Ouders vermoorde Romy, Savannah en Nick willen hogere straffen’, on:
https://www.rtlnieuws.nl/nieuws/artikel/4779811/romy-savannah-nick-petitie-dood-jeugdstraffen-vermoord-minderjarige-daders, [visited on 10-09-2019].
3 Boom Uitgevers Den Haag (2019), ‘Call for papers: Themanummer over ‘Hedendaagse jeugdcriminaliteit’’, on:
http://www.boomuitgeversdenhaag.nl/system/uploads/47018/original/Call_TvC_themanummer_Jeugdcriminalit eit.pdf?1558003078 [visited on 15-10-2019].
As has been noted, two contrasting bodies of literature exist on the basis of which an answer
to the research question can be given. These two bodies of literature form the basis of this
research. In chapter two, the decline in juvenile crime will be discussed more in-depth. Chapter
three comprehends the existing literature on the topic of this research. On the basis of the bodies
of literature that have been found, expectations for the research will be formulated in the form
of hypotheses. A total of three hypotheses will be formulated. Chapter four discusses the data
and methodology that underly this research and give way to the validity and replicability of the
research. In chapter five the empirical analysis will be performed, in which the formulated
hypotheses will be tested with the empirical data that has been found using the methods
described in chapter four. Finally, in chapter six an answer to the research question can be
formulated. In this final chapter also, a discussion on the research is included and the
contributions to theory and recommendations.
2. The juvenile crime-rate in The Netherlands:
In the introduction of this research the topic of interest of this study has already been stated;
the declining juvenile crime-rate in The Netherlands. While the rest of this research focuses on
the consequences of this decline in juvenile criminal offences on municipal political attention
for this subject, this chapter will first and foremost describe the juvenile crime-rate itself as it
develops in The Netherlands.
Figure 1. Total number of crime suspects in The Netherlands from 2005 to 2018. Data derived from: Statistics Netherlands (28-03-2019),
‘Verdachten van misdrijven; leeftijd, geslacht en recidive’, on:
https://opendata.cbs.nl/statline/#/CBS/nl/dataset/81997NED/table?ts=1576745606451 (visited on 18-12-2019).
In figure 1 the total number of crime suspects in The Netherlands has been depicted. As follows
from this figure a rapid decline in reregistered crime suspects can be witnessed in The
Netherlands. In the academic field of criminology this phenomenon is depicted as the ‘crime
drop’, that has not only occurred in The Netherlands but in most Western countries since 2007
(Farall, 2017). Farall (2017) even depicts it as ‘one of the most important puzzles of
contemporary criminology’ (Farrall, 2017: 1). The decline in registered criminality also occurs
in the statistics of juvenile crimes. In figure 1 a declining trend can be identified in the juvenile
registered crime suspects by more than half.
0 50000 100000 150000 200000 250000 300000 350000 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 Nu m be r of c ri m e su sp ec ts
Total number of crime suspects in The Netherlands
Underage suspects (12-17 years old) Adult suspects (18 years and older)
3. Theoretical framework:
In this section of the research, possible answers related to our research question will be sought
in the academic literature on the topic of interest of this study. As Holsti (1969) points out, a
content analysis without any theoretical relevance is a mere description of words and is of little
value (1969: 5). To fulfill this precondition of doing content analysis, this chapter will the
discuss both the concept of political attention as well as provide insight in the trends in the
prevention and characteristics of juvenile criminology. With the help of these concepts and the
prevalent literature on the topics of interest, a research design can be constructed and
hypotheses can be formulated. The research question of this research is: To what extent has the
decrease of the juvenile crime-rate in The Netherlands since 2007 impacted municipal political
attention for the subject?
To provide hypotheses for this research question, this chapter will firstly look into the
academic literature on the topic of juvenile criminology. In this section, trends and
characteristics in this field of criminology will be described. With the use of this knowledge,
expectations can be formulated on the juvenile crime-rate that is of the interest of this study.
The second section of this chapter focuses on the dependent variable of the research: the
concept of political attention. On the basis of this concept two hypotheses will be formulated.
The first hypotheses that will be discussed expects a decline in the political attention, the third
and last hypothesis doesn’t.
3.1 Trends in juvenile statistics:
Juvenile crime in The Netherlands has yearly declined since the year of 2008 (Van der Laan,
Beerthuizen & Goudriaan, 2017: 28). This decline in the juvenile crime-rate is not just a Dutch
phenomenon, but is a phenomenon that can be identified in more countries internationally (Van
der Laan et al., 2017: 34-36). The explanations given for this steady decline of juvenile crimes
are inconclusive on what factor is the precise reason for this decline. Topics that are being
related to this decline of juvenile crimes are the development of digitization and social media
and a possible shift of criminality to online domains (Van der Laan et al., 2017: 41-42 &
44-45).
The UN Guidelines on crime prevention portray a crucial role of mayors in the
prevention of crime on a local municipal level. At the local level crime has the most effect on
society and this is the place where the tackling of crime is needed (Shaw, 2016: 433).
Since the decline of the juvenile crime-rate is steadily declining in The Netherlands
since 2007 and that this is an international trend, it is expected that the juvenile crime-rate in
the G100.000-plus is also declining.
3.2 Political attention declining:
On the basis of the academic literature on the topic of political attention, two contrasting
hypotheses can be formulated. This second section will discuss academic literature on the basis
of which a decline of the local municipal political attention can be expected.
Prominent academic authors in the field of political attention are Baumgartner & Jones
(1993). In their academic work in 1993, they introduced the ‘punctuated equilibrium’ theory in
the field of social sciences. The punctuated equilibrium theory depicts political attention as a
stable process when the importance and character of a certain issue doesn’t change. However,
when these events do occur, the changes are expected to happen in a sudden, highly fluctuating
manner (Baumgartner & Jones, 1993; Breeman, Lowery, Poppelaars, Resodihardjo,
Timmermans & De Vries, 2012: 2). After a period of stable circumstances, changes in political
attention occur for example when a crisis appears in the policy domain of this certain policy.
At that moment the political attention for the topic skyrockets and a change in policy is
expected. When the topic of juvenile crimes is regarded as a stable process, as the juvenile
crime-rate is steadily declining this past decade, no erratic changes in the political attention can
be expected. If changes however do occur and the period of stable circumstances changes, a
large increase in political attention for the topic can be expected.
A key characteristic of political attention of political executives furthermore, is that the
amount of political attention one can devote to social issues is scarce. The political attention
span of executives in local government is limited, not every social issue present in everyday
society can be at the top of their political agenda (Otjes, 2012: 29; Baumgartner & Jones, 2005:
32). Moreover, in a coalition government this political attention is also bound by political
choices and political positions that were made in the coalition agreements (Breeman et al.,
2012: 2). Since this political attention span is limited, a social issue that is declining in its
indicators is not expected to be of the highest of priority to these political executives. The
long-term perspectives on political attention and agenda-setting processes however are not depicted
in these studies of political attention (Breeman et al., 2012: 3). Therefore, the public policy
cycle, with the agenda-setting phase as the topic of interest will be discussed more in-depth.
Public policies start with the occurrence of problems. No wonder that the well-known
public policy cycle as described by Howlett, Ramesh & Perl (2009) starts with the stage of
agenda-setting (2009: 92). In this stage of the policy cycle social conditions and structures are
of importance as each phenomenon can be viewed by one actor as insignificant, while the other
actors can think it’s an enormous problem that requires policy intervention (Howlett et al.,
2009: 93). One prominent theory on the topic of agenda-setting is the stream model of Kingdon
(2014). He suggested that the formation of public policy resembled the ‘garbage can model’ of
decision-making of Cohen, March & Olsen (1972): the policy formation process was not
systematic and rational as was previously thought (Rainey, 2014: 135-136). Kingdon (2014)
suggested the policy formation process to be as a stream model which is composed of three
streams: problems, policies and politics (Kingdon, 2014: 227). When the three streams meet,
policy is generated. This section of the stream model is called the ‘window of opportunity’.
The stream of problems fluctuates on the basis of what is regarded as a problem. The less a
particular phenomenon is viewed as a ‘problem’, the less likely it is that policy is generated.
The problems arrived at the political executive’s desk through three ways: indicators, events
and feedback (Rainey, 2014: 136). By indicators the figures of a social issue are portrayed to
them in such a way that either a decline or increase of these indicators could indicate the need
to intervene and to direct the executives’ political attention to a certain issue (Rainey, 2014:
136). By events one could think of crises in a certain policy field. By feedback the evaluative
reports or complaints by citizens that could be brought up (Rainey, 2014: 136). The political
attention of these political executive is thus, among other ways, influenced by indicators of a
social issue. When a steady decline of an undesired phenomenon can be identified in these
indicators, the expectation is that this leads to a neglect of this topic by the political executive.
A steady rise of an undesired phenomenon could however spark the attention of political figure
in a sudden, fluctuating manner.
Since the juvenile crime-rate in The Netherlands is decreasing, on the basis of this body
of knowledge a similar decline in municipal political attention for the subject could be
expected.
3.3 Political attention not declining:
The prevention of crime for specific groups, such as juveniles, is a key characteristic of
secondary offender-oriented crime prevention (Van Dijk, Huisman & Nieuwbeerta, 2016: 198).
In this form of crime prevention, plans are developed for a specific group that has the potential
to get caught up in criminal delinquencies (Van Dijk et al., 2016: 194).
This perspective on juveniles as a risk group has some of the characteristics of the trend
of the ‘securitization’ of topics. In this example, the education of juveniles is seen from the
perspective of a potential security issue. Balzacq (2011) has identified this securitization theory
as a way of portraying a public issue as a security issue (Balzacq, 2011). This constructs of
portraying an issue as a security issue gives the issue an association with a logic of ‘war and
emergency’ (Balzacq, 2011: 136), and thus relating the topic as a primary concern that should
be dealt with immediately. In this way a certain topic in the previously explained ‘problem
stream’ of Kingdon (2014: 90-115), could spark interest as the problem is now viewed as
associated with security, and seen as a security issue, and thus spark an increase in the
classification of the problem as very important. Moreover, political executives in the ‘Political
stream’ (Kingdon, 2014: 145-164) are more prone to act as the issue is regarded as important,
in contrast to other issues on the political agenda as they their time is limited and the amount
of social issues that require their attention is not (Bovens, ‘t Hart & Van Twist, 2012: 152).
Moreover, in their analysis of 150 local coalition agreements in The Netherlands,
Becker & Boogers (2006) found that safety often had the highest priority in the coalition
agreements (2006: 7). Contrary to their expectations, the topic of safety was not ruled out by
left-wing topics such as poverty reduction and health-care (2006: 7). However, Becker &
Boogers (2006) do point out that safety in comparison to others themes in the coalition
agreements was discussed somewhat superficially (2006: 7). Other themes were more in-depth
discussed. The thematic attention to safety in the coalition agreements was also the highest in
2002; it was discussed in every coalition agreement (Castenmiller & Boogers, 2002). This
however was preceded by a large thematic attention for safety during the campaign, which was
not the case in 2006 (Becker & Boogers, 2006: 12). In this regard, safety can be viewed as a
‘motherhood issue’ (Stone, 2002: 12): everyone is an advocate of a certain topic, but
differences occur when you ask what you mean by them. This phenomenon can be identified
in the process of dominant frames being used by mainstream political parties, that were
identified by Valk (2019), in which the topics of immigration and integration were portrayed
as a matter of national security.
On the basis of these findings, one could expect that the juvenile crime-rate would still
spark a huge amount of political attention as every issue with juveniles could be portrayed as
a security issue. Although the juvenile crime-rate is declining in The Netherlands, still the
issues with juveniles could still be seen as a huge issue for public officials and thus leading the
problem stream along with the political executives in the political stream to a window of
opportunity for new public policies. Therefore, on the basis of this body of literature it can be
expected that the decrease in the juvenile crime-rate in The Netherlands has at least no
declining effect on the amount of political attention in local municipal politics on this subject.
4. Data and methodology:
The aim of this research is to provide insight into how political attention develops over time
when a topic of interest to political executives is declining in both its statistics as in its
relevance. In the overview of literature two conflicting bodies of literature on this topic were
cited. It is therefore at the interest of this study how this political attention develops over a time
on a certain topic.
This chapter will elaborate on how this type of research will be conducted and how an
answer to the research question will be formulated. In the first section of this chapter the
choices made in the structuring of this research will be explained and argued for. In this section
the longitudinal design of the research will be discussed and how the dependent and
independent variable are expected to relate. In the second section of this chapter, the data used
in the research will be explained along with the characteristics of this type of data. In the third
and final section of this chapter, the operationalization and coding methods will be explained
and argued for.
4.1 Research Design:
The research design is the plan for the collection and analysis of data in order to formulate an
answer to the research question (Holsti, 1969: 24). The research question of this study is: To
what extent has the decrease of the juvenile crime-rate in The Netherlands since 2007 impacted
municipal political attention for the subject? On the basis of this research question a research
design can be developed. As follows from the research question, the relationship that is of
interest to this study is the relationship between the declining juvenile crime-rate and the
municipal political attention for the juvenile crimes. The research question is constructed on
the expectation that the declining juvenile crime-rate influences the municipal political
attention for juvenile crimes. We thus can state that the decline of the juvenile crime-rate since
2007 is the independent variable in this study and that the municipal political attention for
juvenile crimes is the dependent variable (Bryman, 2016: 42).
The review of the literature on the topic of our research question in chapter three
specified three expectations (hypotheses) that could provide an answer to our research question.
The first hypothesis was that the juvenile crime-rate is decreasing in The Netherlands and thus
expected that in the G100-000-plus a similar decline in the juvenile crime-rate can be expected.
The second body of literature formulated an expectation that the declining juvenile crime-rate
would also lead to a decline in the municipal political attention for juvenile crimes; a decreasing
Declining
juvenile
crime-rate
since 2007
No decreasing effectMunicipal
political
attention
for juvenile
crimes
Decreasing effecteffect. The third body of literature showed a contrasting view with this expectation. On the
basis of this third section of the literature review a contrasting expectation could be formulated:
that the declining juvenile crime-rate since 2007 would have no decreasing effect on the
municipal political attention for juvenile crimes.
A summary of this analysis of the relationship that is of interest to this study is provided
in figure two in which the expectations and variables of this study are schematically rendered.
In this figure the hypotheses derived from the literature are portrayed as arrows coming from
the independent variable, the declining juvenile crime-rate since 2007, and pointing at the
dependent variable, the municipal political attention for juvenile crimes.
Figure 2. Schematic rendering of the expected relationship between the dependent and independent variable.
To provide an answer to the research question and to test the expected relationship that has just
been discussed, empirical evidence for these assumptions has to be gathered. To test whether
or not the political attention has changed following the decline of the juvenile crime-rate since
2007, a mere study of the political attention prior to the decline of the juvenile crime-rate since
2007 is not sufficient. The municipal political attention should be investigated at two moments
in time; a moment in time when the juvenile crime-rate was high and a moment in time when
the juvenile-crime rate was low. This prerequisite of the design of this study leads to the
conclusion that a longitudinal design of the research fits the research question best. A
longitudinal designed research researches the same variable but at two different moments in
time (Bryman, 2016: 56-59). One study of the municipal political attention for juvenile crimes
at a time when the juvenile crime-rate is high, and a study of the municipal political attention
for juvenile crimes at a time when the juvenile crime-rate is low. Therefore, the moments of
time picked in this research are not decided on by author, but are dictated by the research
question itself (Bryman, 2016: 287).
4.2 Data:
Now that the variables in the research have been discussed, the most relevant research design
has been selected and the prerequisites for the moments in time have been formulated now the
selection the data used for this research can start.
Before the discussion of the data-selection it’s best to establish a scope of the research.
Will all of the political executives dealing with juvenile crimes be interviewed, are
questionnaires going to be sent throughout The Netherlands or the whole of Europe? Since this
study lacks the money, time and resources for a full research of an analysis of a large
multi-country wide research, this study focuses on The Netherlands as a whole. Still, measuring all
the political sentiment of all the municipalities in a country is beyond the skills and means of
the researcher. Therefore, a sample will be selected that represents a large portion of the
population of The Netherlands. The focus on municipalities is based on the fact that juvenile
offences are mostly regarded as a topic of interest for the municipal level of government in The
Netherlands
4. Low-level crimes are of primary concern for municipal actors, not of the national
governmental actors. To find a good representation of the municipal political attention in The
Netherlands there has been sought for ‘groups’ of municipalities with enough members so that
the data can could possibly be generalized for the whole of The Netherlands, but small enough
so that it could fit the money, time and resources of this study. This sample was chosen in the
so-called ‘G100.000-plus’ municipalities, which are the 31 municipalities in The Netherlands
with more than 100.000 residents as classified by the Statistics Netherlands
5. These
municipalities have been selected on the basis of their population on the first of January 2019
6.
Since the scope of the research has now been established, a more in-depth look into the
variables used in this study is worthwhile. The municipal political attention on juvenile crimes
will be measured by studying municipal coalition agreements that are formed in coalition
formations in The Netherlands after (municipal) elections have taken place (Shepsle, 2010:
506-509; Heringa, Van der Velde, Verhey & Van der Woude, 2012: 143). In these coalition
agreements political parties discuss the future policy plans that they have and negotiate which
4 Centrum voor Criminaliteitspreventie en Veiligheid (2019), ‘Betrokken partijen’, on:
https://hetccv.nl/onderwerpen/georganiseerde-criminaliteit-en-ondermijning/betrokken-partijen/ [visited on 03-01-2020].
5 Statistics Netherlands (2019), ‘Gemeentegrootte en stedelijkheid’, on:
https://www.cbs.nl/nl-nl/onze-diensten/methoden/classificaties/overig/gemeentegrootte-en-stedelijkheid [visited on 25-11-2019].
6 CBS (5 November 2019), ‘Regionale kerncijfers Nederland’, on:
Coalition
agreements
of the
'G100-000-plus'
in 2006
Coalition
agreements
of the
'G100-000-plus'
in 2018
policy preference is the position of the coalition in the governing period. These coalition
agreements thus describe the policy preferences of the coalition for the upcoming governing
period, which resembles the political attention the political coalition has for certain policies.
As Becker & Boogers (2006) put it:
‘‘Municipal coalition agreements record the political-administrative spirit of the times.
They provide a good picture of contemporary social and political-administrative developments
and the way in which the local government wishes to respond to this.’’ [Translated from Dutch]
- Becker & Boogers (2006: 2).
Now that the municipal political attention can be measured and the scope of the research
is established, the one thing that is left is the time-frame of the study. From the case description
of the juvenile crime-rate in The Netherlands, a continuing decline in the juvenile crime-rate
could be witnessed following the year of 2007 to the latest point in time available. As was
discussed earlier in this chapter, the two points in time were dictated by our research question:
a point in time when the juvenile crime-rate in The Netherlands was high and a point in time
when the juvenile crim-rate in The Netherlands was low. On the basis this prerequisite, the first
point in time should be centred in the year of 2007. Since no municipal elections have taken
place in The Netherlands in that year, the first election prior to that year are the municipal
elections of 2006. The coalition documents of that year will form the first point in time of this
research. The second point should be at the lowest point of the juvenile crime-rate in The
Netherlands, which according to the latest available data is the year of 2018 (see figure 1 in the
second chapter). The municipal coalition agreements formed after the 2018 municipal elections
will form the second point in time of this longitudinal research.
These choices made in the design of this research leads us to the following schematic
rendering as visible in figure three.
4.2 Methodology:
Since the research design of the study justified the use of coalition agreements as an indicator
for municipal political attention, the method of analysis in this study will be that of content
analysis. Numerous definitions of ‘content analysis’ exist, but Holsti (1969) identified three
main elements that all of these definitions include: objectivity, system and generality (1969:
2-3). The element of objectivity involves the incorporation of data by explicitly formulated rules
and procedures, not on the coder’s vague distinction (Holsti, 1969: 2). The element of
systematic means that these have to be consistently be applied, including among different
coders. The third and last element Holsti (1969) identified is the element of generality (1969:
5). This involves the fact that the findings should have theoretical relevance which has been
addressed earlier in this chapter (1969: 5).
To analyse the first hypothesis of this study, the data of the Statistics Netherlands (CBS)
was used. In The Netherlands the governmental institution Statistics Netherlands (CBS)
independently provides statistical data on numerous social issues
7. This statistical data includes
the registration of criminal suspects in the databases of the National Police.
To analyse the coalition agreements, the documents had to be collected. For the 2018
coalition agreement this was simple, as the Open State Foundation had already set up a database
with all the coalition agreements in The Netherlands of 2018
8. After a quick scan of five of
these coalition agreements, they were identified as to be the same as the ones on the
municipality’s own website.
The collection of the 2006 coalition agreements was however not that easy. Each of the
31 municipalities had to be addressed with the request for these documents as they were not
readily available on the internet. A total of 28 of the 31 municipalities responded with the
correct coalition agreement of which 27 were deemed fit for comparison with their 2018
counterpart
9. The municipality send a second coalition agreement that was made after a
collapse of a coalition in 2008. Only the first coalition agreement however was analysed.
7 Statistics Netherlands (2019), ‘Organisation’, on: https://www.cbs.nl/en-gb/about-us/organisation [visited on
15-12-2019].
8 Open State Foundation (2019), ‘Open Coalitieakkoorden’, on:
https://openstate.eu/nl/projecten/politieke-transparantie/open-coalitieakkoorden-2/ [visited on 8-10-2019].
9 The municipalities of both Eindhoven and Apeldoorn did not send any response to any of the e-mails that were
sent to them with this request for information. The municipality of Breda responded that they couldn’t find the 2006 coalition agreement of their municipality in their archives. The municipality of Alkmaar did send a coalition agreement, but it was a version from a year later that discussed the progress of each of the goals that were described in the coalition agreement of 2006. This document was deemed not to be fit for comparison.
4.2.1 Operationalization:
The phase of operationalization forms an integral part of this research. What is counted as
relevant for the analysis is obviously determined by the research question of this thesis
(Bryman, 2016: 289). The academic knowledge that has been obtained is translated into two
topics of interest. The first hypothesis of this study focuses on the juvenile crime-rate in the
G100.000-plus. The second and third hypothesis focus on the municipal political attention for
juvenile crimes. In this section of this chapter these two topics will be operationalization into
measurable indicators.
The registered number of suspects in the municipalities can be derived from the
database of the Statistics Netherlands (CBS), but when is someone a juvenile? For this study
the best definition of a juvenile would be whether or not he or she is underage or of age.
Juvenile crime is focused on everyone below the age of eighteen. The registration of the age of
the suspects can be derived from the database of the CBS. Until 2013 this can be selected per
municipality, but from 2013 to 2018 only national indicators are available. To describe the
juvenile crime-rate in the G100.000-plus, the data per municipality from 2007 until 2013 will
be discussed. From the year 2013 onwards national crime statistics will be used.
The local municipal political attention for juvenile crimes is operationalized in the
amount of references to juveniles in the coalition agreements in a criminal context. Each of the
references will be analysed in what type of context the reference is made. In the codebook in
the appendix the rules for coding are described along with some coding examples (see appendix
A.). For this codebook, the layout of Koopman (2012) will be used as it provides a clear layout
of what is to be coded and what not (2012: 74-75) and the research resembles a similar type of
content analysis as this study.
The coalition agreements are used including frames, footnotes and the division of tasks
as they have been designed by the coalition parties. Appendices however are not incorporated
in the content analysis.
With this set of rules and procedures, the empirical analysis of the relationship between
the declining juvenile crime-rate and the municipal political attention can be examined. With
the description of the research design, data and methodology anyone can verify the results of
this research which contributes to the reliability of this study.
5. Analysis:
Now that the topic of this study is introduced, the theories on this subject have been discussed,
hypotheses have been formulated and the methodology further explained, it’s now possible to
analyse the subject more in depth. In this chapter the hypotheses that have been formulated on
the basis of the literature review, will be tested. Although these hypotheses will be discussed
and mentioned, no conclusions will be formulated in this chapter. This chapter does however,
describe the analytical process on the basis of which these conclusions will be formed.
The chapter follows the structure of the literature review, on the basis of which three
hypotheses have been formulated. The first section of this analysis examines the first
hypothesis of this research on the topic of the decreasing juvenile crime statistics. The data
derived using the methodology as described in the previous chapter will be further analysed.
Secondly, the second and third hypothesis will be discussed. These two hypotheses describe
the same phenomenon, namely the political attention for juvenile crimes. However, these two
hypotheses each presume a different outcome in the comparison of the two different time
periods. Since the analysis can only provide one possible outcome, these two hypotheses will
be both discussed in the second section of this chapter.
5.1 Juvenile crime statistics:
The research question used in this study describes the phenomenon of a decline of the juvenile
crime-rate in The Netherlands since 2007. This topic has been addressed in the case description
(chapter two), but it’s too simple to assume that this phenomenon also applies to the
G100.000-plus municipality’s in The Netherlands. Firstly, the crime statistics of juvenile offences in 2007
will be presented. Secondly, the crime statistics of juvenile offences in 2018. Thirdly and lastly,
these two sets of data will be compared and analysed.
5.1.1 Crime statistics of juvenile offences in the G100.000-plus in 2007:
With the help of this dataset, table one
is composed. Table one describes the frequency of the
category’s ‘adult suspects’, ‘underage suspects’ and ‘suspects age unknown’ in the dataset of
registered suspects in 2007 in the 31 municipalities in The Netherlands with more than 100.000
residentials.
Table 1. Registered suspects in the G100.000-plus in 2007. Data derived from: Statistics Netherlands
(28-03-2014), ‘Geregistreerde criminaliteit; soort misdrijf en regio 2014 (2005-2013)’, on: https://opendata.cbs.nl/statline/#/CBS/nl/dataset/82509NED/table?ts=1575890073702 (visited on 13-12-2019). Registered suspects N1 % Adult2 198000 81,5% Underage2 42075 17,3% Age unknown3 2745 1,1% Total 242820 100%
1 N is the frequency of suspects in this category.
2 Adult/underage natural persons suspected of committing a registered crime.
3 Number of suspects of whom neither gender nor age has been recorded in the reporting year.
In 2007 a total of 242.820 suspects were registered in the 31 municipalities in The Netherlands
with more than 100.000 residentials. Of these registered suspects 198.000 (81,5%) were adult
suspects, 42.075 were underage suspects and of 2745 (1,1%) suspects the age was unknown
(see table one). The municipality with the most registered suspects in 2007 was the
municipality of Amsterdam with a total of 37620 registered suspects (see table five in the
appendices). The G100.000-plus municipality with the smallest number of registered suspects
in 2007 was the municipality of Alphen aan den Rijn with 2405 registered suspects (see table
five in the appendices).
5.1.2 Crime statistics of juvenile offences in the G100.000-plus in 2018:
The dataset regarding the registered suspects per municipality was insufficient in portraying
the whole timeline that is of the interest of this study, namely the period of 2007 to 2018
10.
Therefore, this analysis will firstly focus on the year 2013. In this year a distinction can still be
made for each of the municipalities of the sample of this study (the G100.000-plus
municipalities in The Netherlands). Afterwards, the national trends in criminal statistics in the
remaining years from 2013 until 2018 will be discussed.
In 2013 a total of 169.130 suspects have been registered in the 31 municipalities of the
G100.000-plus. Of these registered suspects a total of 149060 (88,1%) suspects were adults,
19965 (11,8%) suspects were underage and 105 (0,1%) suspects had an unknown age (see table
2). The municipality of Amsterdam had the highest number of registered suspects, namely a
total 27740 suspects (see table five in the appendices). The municipality of Ede had the least
amount of registered suspects with a total of 1455 registered suspects (see table five in the
appendices). In table six in the appendices the number of total underage suspects are listed.
Table 2. Registered suspects in the G100.000-plus in 2013. Data derived from: Statistics Netherlands (28-03-2014), ‘Geregistreerde
criminaliteit; soort misdrijf en regio 2014 (2005-2013)’, on:
https://opendata.cbs.nl/statline/#/CBS/nl/dataset/82509NED/table?ts=1575890073702 (visited on 13-12-2019). Registered suspects N1 % Adult2 149060 88,1% Underage2 19965 11,8% Age unknown3 105 0,1% Total 169130 100%
1 N is the frequency of suspects in this category.
2 Adult/underage natural persons suspected of committing a registered crime.
3 Number of suspects of whom neither gender nor age has been recorded in the reporting year.
For 2018 a different dataset has been used which specified on age categories, not on the legal
category’s ‘underage’ and ‘of age suspects’ that was used in the previous dataset. On the basis
of this dataset, an analysis is possible on the age of the suspects by using two age categories:
twelve to seventeen and eighteen and older. Due to these differences in categorizing the number
of suspects differs from the previous used dataset, but it does give the possibility to identify a
trend in juvenile crime statistics from 2013 onward to 2018.
Table 3. Total number of registered suspects in The Netherlands from 2013 to 2018. Data derived from: Statistics Netherlands (28-03-2019),
‘Verdachten van misdrijven; leeftijd, geslacht en recidive’, on:
https://opendata.cbs.nl/statline/#/CBS/nl/dataset/81997NED/table?ts=1576745606451 (visited on 18-12-2019). Registered suspects 2013 2014 2015 2016 2017 2018 12-17 years old1 25820 23850 22970 21350 19260 16150 18 years and older1 206080 193340 175580 163880 151600 141070 Unknown Age 2320 2030 1880 1660 1700 158890 Total 234220 219220 200430 186890 172560 158890
1 Age of natural persons suspected of committing a registered crime.
2 Number of suspects of whom neither gender nor age has been recorded in the reporting year.
In table three can be seen that the number of registered suspects in the age group of 12-17 years
old has declined from 25.820 registered suspects in 2013 (11% of total suspects that year) to
16.150 registered suspects in 2018 (10,2% of total suspects that year). This is a -37,5% decline
in this age group in the years 2013 to 2018. On a national scale therefor has been a decline in
the juvenile crime-rate.
5.1.3 Analysis and comparison:
Now that both the 2007 and 2018 crime statistics of juvenile offences in G100.00-plus have
been described, it’s now possible to compare these results and see how these crime statistics
have developed over time.
In the G100.000-plus the total number of suspects has declined from 242.820 suspects
in 2007 to 169.130 suspects in 2013, a decline of over 30,3% (table one and two). The underage
suspects have declined from 42.075 suspects in 2007 to 19.965 suspects in 2013, a decline of
over 52,5% (table one and two). Each of the municipalities in G100.000-plus has experienced
this decline in the juvenile crime-rate, as can been seen in figure one. The municipality with
the largest relative decline in juvenile offences was the municipality of Nijmegen. In 2007 this
municipality had a juvenile crime-rate of 1350 juvenile offences, in 2013 a total of 365 juvenile
offences (see figure four and table five). The municipality with the smallest relative decline
was the municipality of Haarlemmermeer with a decline of 35,3%. In 2007 this municipality
had a juvenile crime-rate of 675 juvenile offences, in 2013 a total of 430 juvenile offences (see
figure four and table five).
Figure 4. The number of underage suspects in large municipalities in The Netherlands in 2007 and 2013. Data derived from: Statistics
Netherlands (28-03-2014), ‘Geregistreerde criminaliteit; soort misdrijf en regio 2014 (2005-2013)’, on:
https://opendata.cbs.nl/statline/#/CBS/nl/dataset/82509NED/table?ts=1575890073702 (visited on 13-12-2019).
Kwam 100 x voor
745 1565 565 875 5455 1170 1170 1350 570 1020 570 1770 715 975 3565 1370 805 675 1095 650 960 525 1350 5190 1470 2290 665 500 755 785 910 310 815 305 500 2975 425 370 450 300 590 285 505 245 425 1940 565 425 430 410 300 365 310 365 2745 600 1170 360 220 475 475 310 AL KM AA R AL ME RE AL PH EN AA N D EN RI J N AM ER SFO OR T AM ST ER DA M AP EL DO OR N AR NH EM BR ED A DE LF T DO RD RE CH T ED E EI N DH OV EN EM ME N EN SC HE DE S -G RA VE NH AG E GR ON I NG EN HA AR LE M HA AR LE MM ER ME ER ' S- H ER TO GE NB OS CH LE EU WA RD EN LE I DE N MA AS TR I CH T NI J ME GE N RO TT ER DA M TI L BU RG UT RE CH T VE NL O WE ST LA ND ZA AN ST AD ZO ET ER ME ER ZW OL LE NUM B E R OF UNDE R AGE S US P E C T S IN T H E M U N IC IP A L IT Y .MUNICIPALITIES IN THE G100.000-PLUS ON THE 1ST OF JANUARY 2019. SOURCE: CBS (2019)
N U M B E R O F U N D E R A G E S U S P E C T S I N T H E G 1 0 0 . 0 0 0 - P L U S I N 2 0 0 7 A N D 2 0 1 3
Figure 5. Total number of underage suspects in the G100.000-plus and The Netherlands from 2005 to 2013. Data derived from: Statistics
Netherlands (28-03-2014), ‘Geregistreerde criminaliteit; soort misdrijf en regio 2014 (2005-2013)’, on:
https://opendata.cbs.nl/statline/#/CBS/nl/dataset/82509NED/table?ts=1575890073702 (visited on 13-12-2019).
When the juvenile crime-rate from 2005 to 2013 in the G100.000-plus is compared to the
national juvenile crime-rate in The Netherlands, it reveals that the crime-rate in the
G100.000-plus follows the national declining trend but that the decline is less steep as the national
crime-rate (see figure five). It’s therefore assumable that the juvenile crime-crime-rate from 2013 to 2018
in the G100.000-plus follows the national juvenile crime-rate as depicted in table three. This
however cannot be backed with a dataset of the juvenile crime-rate during these years in the
G100.000-plus.
5.2 Political attention:
Political attention in this study refers to the number of times a topic is addressed in a local
municipal coalition agreement. Since our study focuses on the time-frame of 2007 and 2018,
the coalition agreements of 2006 and 2018 will be analysed in this section of the research.
Firstly, the coalition agreements formed after the 2006 local municipal elections are analysed.
Secondly, those formed after the 2018 local municipal elections. Note that although the
G100.00-plus constitutes of 31 municipalities, only 27 municipal coalition agreements will be
analysed in the two timeframes. This is due to the difficult availability of the 2006 municipal
coalition agreements
11.
11 For more information see the methods section in chapter four.
0 20000 40000 60000 80000 100000 120000 2005 2006 2007 2008 2009 2010 2011 2012 2013
Total number of underage suspects from 2005 to 2013
5.2.1 Political attention in local politics for juvenile offences in 2006:
In 2006 a total of 542 references to juveniles were identified in the 27 municipal coalition
agreements formed after the 2006 municipal elections in The Netherlands. Of these 542
references, 78 (14%) referred to juveniles in the context of criminal behaviour and/or crime
prevention (see figure six). The majority of the references, 464 (86%) references, did refer to
juveniles as a group but not in a context of criminal behaviour and/or crime prevention.
Figure 6. References to juveniles in the coalition agreements of 27 municipalities in 2006.
The most references to juveniles in a context of criminal behaviour and/or crime prevention
were made in the municipality of Utrecht. In the coalition agreement formed after the 2006
municipal elections in this municipality, a total of 70 references were made to juveniles of
which 14 (20%) referred to juveniles in a context of criminal behaviour and/or crime prevention
(see table seven in the appendices). The municipality with the least amount of references to
juveniles in the coalition agreement in 2006 is the municipality of Venlo. No references were
identified to juveniles neither in a context of criminal behaviour and/or crime prevention nor
in any other way (see table seven in the appendices).
5.2.2 Political attention in local politics for juvenile offences in 2018:
In 2018 a total of 481 references were identified in the 27 municipal coalition agreements
formed after the 2018 municipal elections in The Netherlands. Of these 481 references, 42
(9%) referred to juveniles in a context of criminal behaviour and/or crime prevention and 439
(91%) did not (see figure seven).
n = 78, 14% n = 464, 86%
References to juveniles in the
coalition agreements of 2006
Criminal context Non-criminal contextFigure 7. References to juveniles in the coalition agreements of 27 municipalities in 2018.
The municipality with the most reference to juveniles in a context of criminal behaviour and/or
crime prevention is the municipality of Almere. In the coalition agreement of this municipality
a total of 32 references are made to juveniles, of which 8 (25%) in a context of criminal
behaviour and/or crime prevention (see table seven in the appendices). Multiple municipalities
in this election year have no references to juveniles in a context of criminal behaviour and/or
crime prevention in their coalition agreements (see table seven in the appendices). The
municipality with overall the least amount of references to juveniles is the municipality of
Westland with 3 references to juveniles (see table seven in the appendices).
5.2.3 Analysis and comparison:
When the two coding schemes of the coalition agreements of 2006 (appendix B) and 2018
(appendix C) are compared, the first notable difference that stands out is the overall decline of
references to juveniles in the 2018 set of coalition agreements. In the coalition agreements
formed after the 2006 municipal elections a total of 542 references are made to juveniles, in
the 2018 coalition agreements 481 (see table four). This decline is less visible in the references
to juveniles not in the context of criminal behaviour and/or crime prevention. These types of
references declined from 464 references in 2006 to 439 references in 2018; a decline of five
percent (see table four). The references to juveniles in a context of criminal behaviour and/or
crime prevention however shows a large decrease. In 2006 78 of these references were
identified, in 2018 42; a decline of over 46 percent (see table four).
n = 42; 9% n = 439; 91%
References to juveniles in the
coalition agreements of 2018
Criminal context Non-criminal contextTable 4. Types of references to juveniles in the coalition agreements of 2006 and 2018.
A municipality with a large decline in the number of references to juveniles in a context of
criminal behaviour and/or crime prevention is the municipality of Utrecht. In 2006 the coalition
agreement contained fourteen references to juveniles in the context of criminal behaviour
and/or crime prevention, in 2018 no such references could be identified (see table seven in the
appendices). The only notable large increase in references in a context of criminal behaviour
and/or crime prevention could be identified in the coalition agreements of the municipality of
Almere. In 2006 the coalition agreement contained two of such references, the coalition
agreement of 2018 contained eight of these references; an increase of 300 percent (see table
seven in the appendices).
Type of reference 2006 2018 Relative change
in percentages
References to juveniles in a context of criminal behaviour
and/or crime prevention
78 42 -46%
References to juveniles (other)
464 439 -5%