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ECPR Conference 2015 – Montreal Intergovernmental Structures and Federalism in Canada1 Jean-Philippe Gauvin, Université de Montréal Abstract:
In its most basic aspect, federalism is primarily practiced through intergovernmental relations (IGR) between officials of federal and subnational units. The literature on Canadian federalism often highlights the importance of yearly meetings for policy coordination and harmonization in the country. However, as with other federations, the ways in which these relations are structured tend to vary a lot between policy sectors. While some sectors hold very informal meetings in a non-consistent manner, others manage relations through IGR councils that have permanent staff and secretariats. Few political scientists have produced systematic studies of the effects of such variation on intergovernmental collaboration. In this paper, we ask whether the varying degrees of IGR institutionalization across policy sectors in Canada affect collaboration between governments. The analysis relies on a systematic comparison of IGR meeting press releases for the years 1997-2014, which combines manual coding and automatic scaling.
1 First draft of the paper. Please do not cite. Author contact: [email protected]
Intergovernmental Structures and Federalism in Canada
There is a consensus in the literature that in its smallest common denominator, federalism can
be expressed as “shared rule + self-rule” (Elazar 1987), where a federation is a polity that
contain both shared and individual powers between different orders of government. This vision
has enabled many scholars to draw important comparisons between federal countries (Watts
2008; Hueglin and Fenna 2010; Burgess 2006). But while there are similarities as to the federal
characteristics of these countries, it could be argued that there are as many ways to manage
federalism as there are federations. If in some countries, federalism is mainly practiced through
parliament, in others the focus might be on completely different policy arenas.
In order to understand how a federation works, it is necessary ask how exactly federalism is
managed. Through which institutions do intergovernmental relations occur? How do these
institutions work and how do they differ? These questions will let us go beyond the simple
outline of a federation and enables the highlight of processes through which decision-making is
done. This variety of settings needs to be taken into account when studying federal systems.
In this paper, we focus on the case of the Canadian federation. In Canada, federalism is mainly
managed through intergovernmental meetings of line departments, where ministers discuss
key issues and decide on policy priorities (Bakvis et al. 2009; Gauvin et al. 2015). This system is
much different than other systems, mainly due to its British heritage, as well as the relatively
small number of provinces in the country. The paper asks the following question: how does the
way in which federalism is managed influence intergovernmental work? Do differences
between institutions really bear an effect on what is generated by coordination, namely
intergovernmental outputs?
While earlier studies have focused on qualitative analyses of peak meetings (Simmons 2004;
Bolleyer 2006; Papillon and Simeon 2004), we argue that it is important to look quantitatively at
the system as a whole by looking at each meeting independently. Moreover, we need to take all
policy domains into account and look at how their differences influence output. To do this, we
conduct manual and automatic content analyses of intergovernmental communiqués in Canada
for the years 1997-2014.
The Institutions of Federalism
Federalism is managed through its intergovernmental relations (IGRs). However, these relations
can occur in multiple arenas. As a result, intergovernmental relations are usually defined as
“the various combinations of interdependencies and influences among public officials – elected
and administrative – in all types and levels of governmental units with particular emphasis on
financial, policy and political issues” (Krane and Wright 1998, 1168). As such, the relation
between political and administrative relations is not always clear. Furthermore, many scholars
have observed over the years the development of more interdependencies in federal systems
(Simeon 2001; Lazar et al. 2003; Bolleyer 2006; Agranoff 2011). As these networks grow,
collaborative management becomes harder to grasp in many settings.
In the context of the American literature, scholars often studied intergovernmental relations as
part of public administration. Agranoff (2010) outlines four major epochs of IGR that have key
implications for the administrative body: law and politics, welfare state interdependency,
government partners and collaborative networking. The Law and Politics epoch is associated
with 19th century America, as political powers were still finding their footing. States and the
federal government acted mostly independently in their own jurisdictions. Administrations
were very hierarchical, with municipalities being managed by the States. Some cooperation did
occur, notably in relation to grants for public works (Elazar 1962), but relations were still
limited. Increased collaboration happened during the welfare state era. Creation of major
works, such as railways and the postal system required an impressive amount of coordination
(Carpenter). Tax collection to finance in the Second World War also contributed to the creation
of interdependencies between orders of government through administrative agencies. By the
1960s and 1970s, new partners were involved in programs. Grants, loans and joint ventures in
service delivery became increasingly important. This resulted in a public administration that
went beyond the traditional borders of government agency (Salamon 1995). Finally, recent
years have changed IGRs in the era of collaborative networking. As Agranoff (2011, S71)
explains, “networks of local governments, business associations, and economic development
agents have worked among themselves for four or five decades” and had extensive links with
higher-level governments.
Many lessons can be drawn from this brief overview of American federalism. First, temporal
dynamics are often at play in federal systems. Relations evolve over time and settings can
change to accommodate new actors. Second, there is a relationship between political power
and public administration. In the Canadian literature, however, emphasis has often been put
mainly on the political arena. Unlike many other federal systems, Canada combines both
federalism and a Westminster parliament. This means that it is divided into one federal
government and ten provinces and that each of these governments are elected with a prime
minister and his cabinet. This importation of the British style of parliament – originally meant
for a unitary system – in a federation has serious implications.
Since parliamentary systems concentrate decisional powers in the hands of executives (Savoie
1999), cabinet members have been particularly important in Canadian federal-provincial
relations. In the absence of formal intergovernmental institutions, federalism has normally
been perceived as practiced by members of the executive branch through what many have
called “executive federalism” (Watts 1989; Smiley 1980; Smiley 1987; Simeon 2006 [1972];
Dupré 1988). This dynamic has evolved parallel to that of the United States. While relations
between governments before the 1960s focused mainly on constitutional issues and law,
economic policies in the Post-war era led to an increasing need for coordination. First ministers
and finance ministers gained important legitimacy in decision-making (Simeon and Robinson
1990).
In this form of federalism, the heritage of a British parliament suggests that federal-provincial
relations are maintained through meetings and conferences rather than through administrative
agencies. These meetings normally occur at regular intervals between various figures, ranging
from public officials to deputy ministers, to ministers and to first ministers themselves. The
relative stability of these relations is quite distinct from what can be seen in other federations,
such as the United States. Indeed, the way in which the parliamentary system interacts with
Canadian federalism requires governments to sit and talk about various issues that are shared
powers with respect to the Constitution, such as environment or agriculture. Another major
difference with other federations is the relatively small number of provinces in Canada. This
facilitates organization of nation-wide meetings and helps officials maintain perpetual
interactions and, eventually, trust ties.
As a result, officials and governments in Canada have developed multiple relations through
meetings in various policy domains. While the literature usually focuses on peak meetings, such
as the First ministers and Premiers meetings, they only represent the tip of the iceberg, as the
core of the intergovernmental work rather is done in line departments (Johns et al. 2007;
Inwood et al. 2011; Agranoff and McGuire 2003; Bakvis et al. 2009; Bakvis and Brown 2010).
But as meetings occur more often, trust ties are developed between public officials. Hence, the
way in which the Canadian IGR system is structured favours a mutual reinforcing mechanism:
meetings of political figures are supported by administrative officials that stay in contact. This
can ultimately lead to transformation of the structures, such as institutionalization of practices
and increase in efficiency. In other words, intergovernmental relations are dominated by civil
servants motivated by problem-solving (Inwood et al. 2011; Montpetit and Foucault 2012). This
echoes Agranoff’s collaborative networking era, where public administration act “not as old-
fashioned audit-like reviewers or legal compliance checkers, but as working partners […]
engaging in mutual problem solving” (Agranoff 2011 p.S71).
Table 1. Examples of Canadian Ministerial Councils
Atlantic Council of Fisheries and Aquaculture Ministers (ACFAM) Canadian Council of Fisheries and Aquaculture Ministers (CCFAM) Canadian Council of Forest Ministers (CCFM) Canadian Council of Environment Ministers (CCME) Canadian Council of Resource Ministers (CCRM) Canadian council of tourism ministers Canadian Education Statistics Council (CESC) Canadian Endangered Species Conservation Council (CESCC) Canada Parks Council (CPC) Conference of ministers of education of Canada (CMEC) Council of Energy ministers (CEM) Council of Ministers responsible for Transportation and Highway Safety Forum of Labor Market Ministers (FLMM) Interprovincial Sport and Recreation Council (ISRC) Ministerial Conference on Francophone Affairs (MCFA) Northern Development Ministers Forum Wildlife Ministers' Council of Canada (WMCC)
Table 1 gives a list of examples of Canadian ministerial councils. It must be explained that many
policy domains meet through annual conferences without such formality. For example, health is
a major issue in Canada, with departments both at the federal and provincial levels. However,
even if health department officials coordinate regularly, relations are not organized through a
council. This is interesting, as a major multilateral agreement – the 2004 Health Accord – has
been in force for the years 2004-2014. We would expect relations in that domain to be more
formal. Hence, all councils and meeting cycles, or intergovernmental agencies (IGA), are
institutionalized to various degrees. More institutionalized IGAs have structured meetings and
thus meet more regularly. Since this gives opportunities for political figures and public officials
to coordinate and engage in puzzle solving, it could be argued that this could have an impact on
intergovernmental works and outputs.
Hypothesis 1: Institutionalized intergovernmental agencies are more likely to produce multiple
intergovernmental outputs than non-institutionalized IGAs.
Methods
To test this hypothesis, we measure the size of intergovernmental outputs through different
means. Studies of Canadian federalism usually focus their analyses on visible and tangible
outcomes such as multilateral agreements or specific policy. This is problematic for two
reasons. First, as explained earlier, there is much more to federalism management than
multilateral agreements. Public officials are constantly in contact with their counterparts from
other governments, through face-to-face meetings, phone calls or even emails. It would thus be
impossible to gather a comprehensive account of day-to-day interactions (Inwood et al. 2011;
Johns et al. 2007), as access to these events is limited. Second, multilateral agreements are very
scarce. While smaller agreements have been concluded bilaterally between the federal
government and provinces in a variety of domains, the last major multilateral agreement dates
from the 2004 Health Accord. Since then, the conservative government has preferred bilateral
agreements tailored to each province’s need rather than promote multilateral action and
negotiations (Simmons and Graefe 2013; Gauvin 2012).
Looking at these agreements can enrich comprehension of specific events through qualitative
analysis. However, it does not lead to generalization. We aim to fill a gap in the literature by
suggesting a quantitative analysis of these processes. Gauvin et al. (2015) have shown that
other indicators were possible to visualize intergovernmental relations. In this paper, we rely on
a content analysis of press releases published after ministerial intergovernmental meetings.
Press releases, or communiqués, are usually published at the conclusion of ministerial or
premiers meetings and distributed directly to the press. Deputy minister meetings, however,
never produce press releases, as they are not accountable to the public. These documents can
be considered a very good indicator of what has been decided in a meeting, for various reasons.
Content size can vary, from a few simple paragraphs to many pages, giving some indication of
output size. Topics that were discussed are often mentioned, as well as which priorities should
be put forth in future meetings. For example, a communiqué might mention that ministers met
“with an agreement to continue to work together to address issues of central importance to
achieving equality for women”2. But priorities can also be much more precise, referring to
specific objectives or even sometimes programs.
Other elements can easily be identified, such as the existence of reports or backgrounders, the
tasking of officials, the creation of a new structure or new program, etc. The text itself is often
very neutral or embellished, but the tone is never negative. This makes it harder to identify
negotiation failures or political stalemates. However, the absence of a communiqué can itself
often be considered like a failure, since it was impossible for the ministers present to agree on
2 CICS website: http://www.scics.gc.ca/english/conferences.asp?a=viewdocument&id=1328
something to tell the press. In the end, we argue that it remains a convincing indicator of
intergovernmental output.
In order to quantify the outputs of the documents, we use two distinct methods. The first was a
manual content analysis of the communiqués for the period 1997-2009. The second was an
automatic computer-based scaling technique called Wordfish.
The manual coding consisted in reading all communiqués and identifying a series of outputs.
Each output was considered a variable and was coded 1 if present or 0 if not present. The
results were then summed up to create an index. The first item is the mention of specific
priorities. The second was the mention of “agree”, such as “ministers agreed to […]”. The third
item refers to the mention of a specific agreement, such as a Canada-wide strategy. The fourth
identifies if a signature was included in the press release. Sometimes, ministers provide a
declaration or an agreement with their signature to show how it is official. Fifth is the mention
of a “spirit of collaboration”. Since most communiqués include such a mention, the lack of such
a phrase can indicate that not much resulted from the meeting. Sixth is the mention of a
document, such as a report or a backgrounder that the ministers agreed to publish. The seventh
item refers to mentions of a new structure, such as the creation of a council in a specific policy
domain that would aim to make meeting in that field more systematic. Finally, the last item
refers to mentions of a new program that has been agreed upon by the ministers.
The index is then created by adding all the values for each press release, giving a score from 0
to 8. The index is then transformed (by subtracting 4) to create an index that goes from -4 to 4.
A meeting that has a higher score had a bigger variety of outputs, while meetings with a lower
score didn’t disclose as much information. Of course, this requires us to assume that less
information means less agreement.
The second technique used to compare the communiqué is the Wordfish scaling model. In the
past ten years, there have been multiple new techniques of automatic scaling used in political
science. Most of them aim to position political parties by scaling a range of political texts, such
as manifestos. This offers a quick and cheap alternative to expert surveys and manual coding,
which can be time-consuming and very expensive. Some of these techniques, like Wordscores
(Laver et al. 2003), require texts to be scored manually and used as reference texts. Other
document positions can then be extracted from the scoring of these reference texts. In the
Canadian context, such techniques have been used to create time-series positioning of political
parties by scoring reference texts with expert manifestos and extracting policy positions from
other years (Gauvin et al. 2013).
Wordfish is a similar technique developed by Slapin and Proksch (2008) that is used to compare
texts between themselves and position them on a single dimension.. Contrary to Wordscores, it
doesn’t require scored texts to be used as reference, because “it instead assumes an underlying
statistical distribution of word counts” (Slapin and Proksch 2008, 708). To be precise, Wordfish
assumes word frequencies to be distributed randomly as part of a poisson distribution. This
greatly simplifies the estimation, as only one parameter is estimated, λ, which is both its mean
and variance (Slapin and Proksch 2008, 709).
In practical terms, the documents need to be compiled and converted to a word frequency
matrix. This is done by counting the occurrence of each word. In the end, each document
obtains a vector of word frequencies so that the matrix is comprised of rows (documents) and
columns (frequencies). Further text-mining tools can be applied in order to remove stop-words
and stem remaining words. This reduces the amount of error that could be mistakenly scored
by the algorithm. When the matrix is ready, a statistical environment such as R can be used to
estimate a Wordfish model. At this point, the routine compares word usage between the texts
and extracts a latent dimension that explains frequencies. Estimates, along with standard errors
and bootstrapped 95% confidence intervals are also provided. Texts where word occurrences
are similar will get similar scores. However, extremely different documents will obtain very
different scores.
As an example, if three party manifestos are scored, party A might fall in the middle, because it
uses only “neutral” words, such as words that do not distinguish it from the other two parties.
Party B might fall on the left side of the scale, because it is very different than party C which
could fall on the right side of the scale. Party B might have used neutral and social terms, while
party C might have used economic and neutral words thus distinguishing themselves greatly
from each other. When conducting the routine, the user is required to specify two texts (such
as a left-wing manifesto and a right-wing manifesto) to give the results a direction, as it cannot
estimate what is “left” and what is “right”.
As it is currently used in the literature (Lo et al. 2014; Proksch et al. 2011), Wordfish makes
many important assumptions. The first is that word meaning remains the same over time. New
political terms necessarily induce some errors in the results. The second assumption is that
variance in word frequencies lead to an interpretation of political ideology. This latter
assumption might look problematic in the context of our study. Indeed, we are not studying
party positions, but rather intergovernmental press releases. But, as mentioned, Wordfish
scales texts according to their word usage. Hence, the assumption we make here is that
meetings that lead to fewer outputs tend to use similar words in the communiqués.
Consequently, when meetings lead to a wider range of outputs, it will use different words.
Following this logic, Wordfish will score difference in outputs rather than difference in ideology.
Another thing that needs to be said is that all communiqués are not independent. Conference
cycles and council meeting occur in each sector, with mostly the same staff, or at least the
same administrative culture. In other words, the texts will help us see variation over time for
each policy domain, exactly like Wordfish can help see how party positions evolve over the
years.
Manual coding and Wordfish scoring will provide us with two comparable and interesting
measures of intergovernmental outputs. This leaves us to measure institutionalization of the
different councils and conferences. While different indicators could be used, such as regularity
of meetings, council or forum status, independence of action3, we opt here for a more simple
measure: the presence of a permanent secretariat. Councils that have a physical address, with a
permanent staff are by definition more institutionalized than meetings that occur sparsely with
little or no consistency. Hence, referring to our hypothesis, communiqués published after a
meeting for which there is a permanent secretariat should lead to more outputs than those
that do not have secretariats.
Other controls are included in our models. First, the year will facilitate the comparison over
time. Second, the level at which the meeting occurred will be of importance. We will compare
ministerial and premiers meetings. Finally, the type of meeting will be coded as 1 for Federal-
Provincial-Territorial and 0 for Provincial-Territorial.
Results
When looking more closely at the data, it becomes apparent that communiqué publication
greatly varies between political levels and conference types. Figure 1 provides descriptive
information on the subject. In terms of the type of meetings, it seems interesting that only 56
percent of the 311 provincial-territorial meetings that occurred between 1997 and 2014
produced a press release. However, 75 percent of the 465 FPT meetings at the first ministers
and minister level produced press releases. When looking strictly at the political level, 85
percent of the 74 First ministers and premiers meetings produced communiqués, as opposed to
66 percent of the 706 ministerial meetings.
These figures are interesting, as we would normally expect PT meetings to be more productive
– and thus at least produce a communiqué – because of the absence of the federal government
which could potentially lead to stalemates and conflicts in some policy domains. However, it
seems reasonable that First ministers and Premiers meetings would produce a larger number of
communiqués. These meetings have much more visibility and are often covered by the press.
3 Such measures will be tested in later versions of this paper.
Figure 1. Percentage Published Communiqués by Type and Level
Data source: CICS
As for the content analyses, a total of 449 communiqués were scored with Wordfish for the
period 1997-2014 and 348 were manually coded for the period 1997-2009. The results are
shown in the figures A1 and A2 of the appendix. These figures present the estimates by policy
topic to account for administrative culture. With only few exceptions, the results are
impressively similar, suggesting that both our manually coded measure and the Wordfish
estimates capture a similar concept. For example, both measures find lower outputs for the
fields of finance, native affairs, housing, local government or even sports and recreation. Also,
in both instances, the higher results occur in agriculture and environment.
In order to test the role of institutionalization – the presence of a permanent secretariat – we
conduct a series of regression analyses, reported in Table 2. Model 1 consists of an OLS
regression on the manually-coded measure, the range of outputs mentioned in the press
release. The model suggests that notwithstanding conference type and political level, meetings
that are part of an institutionalized conference cycle increase output size by .32, on a scale
going from -4 for 4. Likewise, meetings that include the federal have a one-unit increase as
opposed to PT meetings. Model 2 aims to model the heterogeneity of policy domains by doing
a panel regression. More precisely, we use a fixed-effects model, which permits varying
intercept across policy topics. This time, the results are less evident. When looking at the
variation between policy sectors, institutionalization does not seem to bear an effect.
Table 2. Regression Analysis of Institutionalization
Model 1 (Output
Range - OLS)
Model 2 (Output
Range - FE)
Model 3 (Wordfish -
OLS)
Model 4 (Wordfish -
FE)
Coef. SD. Coef. SD. Coef. SD. Coef. SD.
Institutionalized .32* .16 .04 .22 .61*** .15 .51** .18
Year -.01 .01 -.01 .01 .01 .01 .01 .01
Minister level -1.03 .57 -.78 .62 .17 .27 .63 .54
FPT .98*** .15 .81*** .18 .83*** .13 .30* .13
N. 345 345 449 449
Nb. groups 1 23 1 23
R2 .11 .17 .12 .15
Models 3 and 4 instead use the Wordfish estimates as the dependent variable. These results
are much more consistent with our hypothesis. Indeed, institutionalized meetings have on
average a .61 higher Wordfish score than meetings that lack a permanent secretariat. This
suggests yet again that institutionalization facilitates the production of intergovernmental
outputs. When running a fixed-effects model, the effect remains consistent. As with the
manually-coded measure, conference type is significant in both instances. However, the effect
is less pronounced in the fixed-effects model.
We explore these data even further by simulating predictive margins of the Wordfish estimates
over the presence of a secretariat. Simulations provide substantive interpretation of results by
measuring the predicted outcome at various specific values while at the same time controlling
for other effects. Figure 2 presents these results. As can be seen from the figure, when
controlling for all covariates over time, institutionalized meeting are predicted to have a higher
output size than meetings that lack a secretariat. Every year, this difference is statistically
significant, except for a very small and insignificant overlap for the year 2014. The results also
suggest a slight increase of the effect over time. This could be true if councils became more
institutionalized over time, leading them to have bigger outputs. However, the size of the
confidence interval prevents of accepting this as a convincing effect.
Figure 2. Varying Effect of Institutionalization over Time
Conclusion
This paper has argued that the study of federal systems needed to take a closer look at how
federalism is managed before drawing conclusions. While American literature has been heavily
influenced by public administration studies, most research in Canadian literature has focused
only on the top-level interactions. This dissonance between the two countries could suggest
entirely different intergovernmental patterns. However, when looking more closely at the
institutions of Canadian federalism, namely the intergovernmental agencies, it seems that the
two countries share more elements than we might have first believed. The regularity of the
meetings over the years is supported by networks of public officials that coordinate and engage
in problem-solving.
The other lesson to draw from this paper is that different IGAs behave differently. Some policy
domains produce more IGR outputs than others. Amongst the most productive lie IGAs that are
more institutionalized than the rest. Hence, structuring federalism management in Canada does
bear some effects. Provinces cannot act in isolation. They need to coordinate, and the way in
which this is done makes the difference.
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APPENDIX Figure A1. Manually Coded Output Range by Policy Topic
Figure A2. Wordfish Estimates by Policy Topic