Replication Data for: Opening the ‘Black Box’ of Asylum Governance: Decision- Making and the Politics of Asylum Policy-Making (doi:10.7910/DVN/RQHGEY)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
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Document Description

Citation

Title:

Replication Data for: Opening the ‘Black Box’ of Asylum Governance: Decision- Making and the Politics of Asylum Policy-Making

Identification Number:

doi:10.7910/DVN/RQHGEY

Distributor:

Harvard Dataverse

Date of Distribution:

2024-09-16

Version:

1

Bibliographic Citation:

Pettrachin, Andrea, 2024, "Replication Data for: Opening the ‘Black Box’ of Asylum Governance: Decision- Making and the Politics of Asylum Policy-Making", https://doi.org/10.7910/DVN/RQHGEY, Harvard Dataverse, V1, UNF:6:HY9aMEDNLhqEBN0Ty9b6rQ== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Opening the ‘Black Box’ of Asylum Governance: Decision- Making and the Politics of Asylum Policy-Making

Identification Number:

doi:10.7910/DVN/RQHGEY

Authoring Entity:

Pettrachin, Andrea (European Unviersity Institute)

Distributor:

Harvard Dataverse

Access Authority:

Pettrachin, Andrea

Depositor:

Pettrachin, Andrea

Date of Deposit:

2019-07-02

Holdings Information:

https://doi.org/10.7910/DVN/RQHGEY

Study Scope

Keywords:

Social Sciences

Topic Classification:

Asylum governance, Italy, Migration politics, Political parties, Refugee crisis

Abstract:

Complementing and challenging the existing literature on the Italian asylum crisis, this article develops an actor-centred approach to open the ‘black box’ of asylum governance, showing the constitutive effects of governance on the asylum issue. It then applies this approach to the case of the Veneto region in Italy during the recent “refugee crisis”. By doing so, the article, first, investigates the cognitive mechanisms that shape key actors’ asylum policy decisions. Drawing concepts and ideas from framing and sensemaking theories, it shows that, while there is certainly a strategic element that shapes actors’ policy preferences, there is also a meaningful cognitive component in asylum governance. Indeed, it argues that actors’ strategies are shaped, more than by antiimmigration public attitudes per se (as often assumed), by how political actors make sense of these attitudes. The article then applies SNA to examine how actors’ understandings are located within and depend upon network relations and investigates actors’ agency, power and interactions. It ultimately shows that local asylum policy outcomes are deeply influenced by the “politics of policy-making”, i.e. by power dynamics and how powerful actors position themselves, behave and mobilise their understandings. Finally, by examining the impact of policy outputs on cognitive micro-level mechanisms, the article sheds light on the interplay between the “regulatory” and the “public reaction” dimensions of the Italian asylum crisis, illustrating the relationship between public attitudes on migration, frame emergence, asylum policymaking, politics and public mobilisations in the active constitution of the Italian asylum crisis.

Methodology and Processing

Sources Statement

Data Access

Notes:

This dataset is made available without information on how it can be used. You should communicate with the Contact(s) specified before use.

Other Study Description Materials

Related Publications

Citation

Title:

Pettrachin A (2020). Opening the ‘Black Box’ of asylum governance: decision-making and the politics of asylum policy-making. Italian Political Science Review/Rivista Italiana di Scienza Politica 50, 191–212. https://doi.org/10.1017/ipo.2019.30

Identification Number:

10.1017/ipo.2019.30

Bibliographic Citation:

Pettrachin A (2020). Opening the ‘Black Box’ of asylum governance: decision-making and the politics of asylum policy-making. Italian Political Science Review/Rivista Italiana di Scienza Politica 50, 191–212. https://doi.org/10.1017/ipo.2019.30

File Description--f3462764

File: Replication Material - figure 10,11.tab

  • Number of cases: 50

  • No. of variables per record: 8

  • Type of File: text/tab-separated-values

Notes:

UNF:6:XdK4LomwQR594n5Lzlpb7g==

Dataset used to create figures 10 and 11. Data have been collected through structured questionnaires.

File Description--f3462763

File: Replication Material - figures 7,8,9.tab

  • Number of cases: 49

  • No. of variables per record: 10

  • Type of File: text/tab-separated-values

Notes:

UNF:6:k2OWt19/SULwEQxiISwQmA==

Dataset used to create figures 7, 8, 9. Data have been collected through structured questionnaires.

Variable Description

List of Variables:

Variables

Id

f3462764 Location:

Variable Format: character

Notes: UNF:6:Mocwo1CUpoKcGAKKBqN4mw==

Label

f3462764 Location:

Variable Format: character

Notes: UNF:6:gOHmR7Hu0j3nbP2LnngXSQ==

timeset

f3462764 Location:

Summary Statistics: StDev NaN; Min. NaN; Max. NaN; Mean NaN; Valid 0.0

Variable Format: numeric

Notes: UNF:6:HYNRi4l7FOKUOZDv9lWDgg==

Eccentricity

f3462764 Location:

Summary Statistics: Mean 1.3199999999999998; Valid 50.0; Min. 0.0; StDev 1.8454577442234452; Max. 5.0

Variable Format: numeric

Notes: UNF:6:rhEB+L/jEM+Bdgn05XLK3w==

closnesscentrality

f3462764 Location:

Summary Statistics: Mean 0.18355824; Valid 50.0; Max. 1.0; Min. 0.0; StDev 0.26012525507912915

Variable Format: numeric

Notes: UNF:6:dT601iCr9pKlJ1+WyOMzEA==

harmonicclosnesscentrality

f3462764 Location:

Summary Statistics: Valid 50.0; Mean 0.21643162; Min. 0.0; Max. 1.0; StDev 0.30031063537745684

Variable Format: numeric

Notes: UNF:6:0n10y0F1brq/PycqBO01FQ==

betweenesscentrality

f3462764 Location:

Summary Statistics: Max. 2.38557143E8; StDev 4.2988654701558396E7; Valid 50.0; Min. 0.0; Mean 1.6365029091E7

Variable Format: numeric

Notes: UNF:6:WUDA+wR6/5lchjb1tJO+mQ==

modularityclass

f3462764 Location:

Summary Statistics: StDev 1.19112363346719; Mean 1.6400000000000001; Valid 50.0; Min. 0.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:ugovxSiG+qe5iVd8ARoPfw==

Id

f3462763 Location:

Variable Format: character

Notes: UNF:6:yK8hpBUXnLMCOVC60t4S7w==

Label

f3462763 Location:

Variable Format: character

Notes: UNF:6:yK8hpBUXnLMCOVC60t4S7w==

timeset

f3462763 Location:

Summary Statistics: Max. NaN; Valid 0.0; Min. NaN; Mean NaN; StDev NaN;

Variable Format: numeric

Notes: UNF:6:I8Zduiktak+1aTc+iPjdLg==

Eccentricity

f3462763 Location:

Summary Statistics: Mean 1.346938775510204; Max. 5.0; Valid 49.0; Min. 0.0; StDev 1.8546228323678475

Variable Format: numeric

Notes: UNF:6:MhFJ/Bu64L2XnetR3rKHqw==

closnesscentrality

f3462763 Location:

Summary Statistics: Mean 0.1871104081632653; StDev 0.2614290392929248; Valid 49.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:IhMrMf9mZIbUCNoxrFsAGg==

harmonicclosnesscentrality

f3462763 Location:

Summary Statistics: Min. 0.0; Valid 49.0; StDev 0.3019786524155686; Max. 1.0; Mean 0.22091183673469386;

Variable Format: numeric

Notes: UNF:6:vZJcUIgIyvAmP2Vng61jdg==

betweenesscentrality

f3462763 Location:

Summary Statistics: Max. 2.61783333E8; StDev 4.450957302351065E7; Min. 0.0; Valid 49.0; Mean 1.4196942537755102E7

Variable Format: numeric

Notes: UNF:6:xxgMdNNKuwkbUC/k/Vn3xQ==

modularityclass

f3462763 Location:

Summary Statistics: Max. 2.0; Mean 0.8979591836734693; Valid 49.0; StDev 0.8227215496748091; Min. 0.0

Variable Format: numeric

Notes: UNF:6:gjtt+18tCWDq2Qo6achT2w==

componentnumber

f3462763 Location:

Summary Statistics: Mean 0.0; Max. 0.0; StDev 0.0; Min. 0.0; Valid 49.0

Variable Format: numeric

Notes: UNF:6:P0HLpAR+UIhVTJjtEirQXg==

strongcompnum

f3462763 Location:

Summary Statistics: Max. 25.0; Valid 49.0; Min. 0.0; Mean 13.204081632653061; StDev 9.561161871160358

Variable Format: numeric

Notes: UNF:6:ShY37j0V0vGaR2l+FKvg/A==