Attila Kovács PhD candidate Corvinus University of Budapest Political networks in the European...
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Transcript of Attila Kovács PhD candidate Corvinus University of Budapest Political networks in the European...
Attila Kovács
PhD candidate
Corvinus University of Budapest
Political networks in the European Parliament
Network analysis of the 2013 CAP reform
‚MAKE’ Conference12 May 2015
- Political coalitions of decision-making in the European Parliament:- Network of Member States;
- Network of EP Groups;
- To highlight the non-visible relations between MEPs in the CAP legislation;
- To observe the internal evolution of networks at each stages of the legislative process.
Motivation and objectives
- Organic farming (Moschitz and Stolze, 2009) – EU-15 MSs tie with each other more frequently;
- Agricultural policy network of the 1992 MacSharry reform (Daugbjerg, 1999) – the structure of policy networks influence policy outcomes;
- Social network analysis in the European Parliament- EP Intergroups (Patz, 2011)- EP Committees (Patz, 2012)
Previous research and literature
Amendments tabled to four legislative proposals:- Direct Payments
- European Agricultural Fund for Rural Development
- Single Common Market Organisation
- Horizontal Regulation
Dataset
Total amendments Amendments tabled jointlyTotal 6.749 3.093COMAGRI adopted 875 396EP Plenary adopted 829 371Final Regulation 514 225
Social Network Analysis- Edges: links that connect pairs of nodes;- Nodes: individual actors within the network (EP Groups,
Member States);- Degree of a node: the sum of edges for a node;- Path length: the distances between pairs of nodes in the
network;- Density of the graph: ratio of the number of lines present to
the maximum possible.
Methodology
Overview on the networks – EP Groups
Nodes EdgesAverage Degree
Average Weighted Degree
Graph Density
Average path length
Total 8 13 3,25 271,5 0,46 1,64COMAGRI 8 10 2,5 19 0,36 1,93Plenary 7 9 2,57 20,57 0,43 1,76Final 7 9 2,57 16,86 0,43 1,76
Overview on the networks – Member States
Nodes EdgesAverage Degree
Average Weighted Degree
Graph Density
Average path length
Total 26 73 4,42 351,77 0,18 1,94COMAGRI 20 72 3,6 62 0,19 2,19Plenary 20 70 3,5 57,65 0,18 2,22Final 20 39 3,9 29,4 0,21 2,11
The network of EP Groups 1.
Total number of amendments COMAGRI adopted amendments
The network of EP Groups 2.Plenary adopted amendments Amendments in the Final Regulations
The network of Member States – total number of amendments
The network of Member States – COMAGRI adopted amendments
The network of Member States – amendments adopted by EP plenary
The network of Member States – amendments in the final regulations
- Degree and Weighted Degree decreases at later stages of decision-making;
- Graph density is higher in the network of EP Groups;
- Average path length is higher in the network of Member States;
- COMAGRI changes the networks the most;
- The network of EP Groups is unchanged between EP Plenary and Final Regulation (unlike the network of Member States);
- The link between Germany and Austria is the strongest in the network of Member States;
- The links in the EPP-EFD-S&D triangle are the strongest in the network of EP Groups.
Preliminary conclusions