DATA USED FOR DELIVERABLE 2.2 – sections 6 and 8 

This readme file belongs to Data Set 5, title: “PERCEIVE: WP2: Evaluation of EU citizens’ perception of the EU project: Key variables for citizens' identification with EU”

Data subset Author: Enrique López Bazo (Universitat de Barcelona)  http://orcid.org/0000-0002-4654-8237

Data subset Contact Person/s: Vicente Royuela Mora, (Universitat de Barcelona)  http://orcid.org/0000-0002-7647-0063 ; vroyuela@ub.edu 

License: this data subset is distributed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, https://creativecommons.org/licenses/by/4.0/. 

Publication Year: 2019

Project Info: PERCEIVE (Perception and Evaluation of Regional and Cohesion Policies by Europeans and Identification with the Values of Europe), funded by European Union, Horizon 2020 Programme. Grant Agreement num. 693529; https://www.perceiveproject.eu/.  

Data subset Documentation
Abstract
This data subset is used to describe territorial variations in the degree of citizens’ identification with the EU project and in their awareness and perception of the benefits of the Cohesion and Regional Policies implemented by the EU (Cohesion Policy henceforth). It does so by exploiting the rich information from the PERCEIVE’s Survey on a number of questions. Specifically, we have considered the three dimensions of interest for the project: Citizens’ identification with the EU project; Citizens’ awareness of the EU Cohesion Policy; Citizens’ perception of the benefits and support to the Cohesion Policy. Section 8 analyses the association between citizens’ identification with Europe and the mechanisms and determinants of identity formation by means of the use of multivariate regression techniques: multivariate modelling, and specifically a mixed-effect logit specification. This readme file also includes the description of the data used to produce the results in section 8 of deliverable. The data comes from the “PERCEIVE survey” (individual-level data) and the “PERCEIVE regional panel datasets”, already described in other PERCEIVE datasets.

File specifics
The files are available in a csv format, being the Field delimiter « , » (comma)

Notes 
The deliverable D22 can be downloaded at 
https://doi.org/10.5281/zenodo.1317956 (Zenodo)
http://doi.org/10.6092/unibo/amsacta/5765 (AMS Acta)

Data used for the descriptive analysis in section 6 of Deliverable 2.2

This data was used to produce the results for the 15 EU countries in the PERCEIVE survey.
Datafile: PERCEIVE_WP2_D2_2_sect6_descriptive_country.csv
Variables:
•	COUNTRY Code: code of the member state
•	COUNTRY Name: name of the member state
•	EUmembership: percentage of individuals that think that EU membership is a good thing
•	Ident_EU: degree identification with Europe (0 don’t identify at all to 10 identify very strongly)
•	Heard_CP: percentage of individuals that heard about Cohesion Policy
•	Heard_RP: percentage of individuals that heard about Regional Policy
•	Heard_SF: percentage of individuals that heard about Structural Funds
•	Heard_AnyEUfund: percentage of individuals that heard about any EU funded project in the region or area
•	Benefit_EUfund: percentage of individuals benefited in daily life from any project funded by the EU
•	Support_CP: percentage of individuals that support the Cohesion Policy

Data used for the descriptive analysis in section 6 of Deliverable 2.2

This data was used to produce the results for the 9 Case-Study regions in the PERCEIVE survey.
Datafile: PERCEIVE_WP2_D2_2_sect6_descriptive_CSregs.csv
Variables:
•	REGION Code: code of the case study region
•	REGION Name: name of the case study region
•	EUmembership: percentage of individuals that think that EU membership is a good thing
•	Ident_EU: degree identification with Europe (0 don’t identify at all to 10 identify very strongly)
•	Heard_CP: percentage of individuals that heard about Cohesion Policy
•	Heard_RP: percentage of individuals that heard about Regional Policy
•	Heard_SF: percentage of individuals that heard about Structural Funds
•	Heard_AnyEUfund: percentage of individuals that heard about any EU funded project in the region or area
•	Benefit_EUfund: percentage of individuals benefited in daily life from any project funded by the EU
•	Support_CP: percentage of individuals that support the Cohesion Policy

Data used for the analysis of the impact of the EU Cohesion Policy on the identification with the EU project and the perception of the Cohesion Policy in section 8 of Deliverable 2.2
The data used to produce the results in this section are from the “PERCEIVE survey” (individual-level data) and the “PERCEIVE regional panel datasets”. The specific details are as follows.
Data from         The PERCEIVE survey 
      https://doi.org/10.5281/zenodo.3332792 (Zenodo) - dataset

Variables:
Identification with the EU project
Q8.	In general, do you think that (YOUR COUNTRY’S) EU membership is: a good thing, a bad thing, neither good nor bad, not sure. (UK not included).
Q9.	People may feel different degrees of identity with their region, their country, or with Europe on whole. On a 0-10 scale, how strongly you identify yourself with Europe
Awareness of the Cohesion Policy
Q1a. In general, have you ever heard about the EU Cohesion Policy? (Yes, No)
Q1b. In general, have you ever heard about the EU Regional Policy? (Yes, No)
Q1c. In general, have you ever heard about the Structural Funds? (Yes, No)
Q1d. In general, have you ever heard about any EU funded project in your region or area? (Yes, No) 
Perception of the Cohesion Policy
Q3. To your knowledge, have you ever benefited in your daily life from any project funded by the EU? Yes; No; Don’t know
Q20. “In your opinion, the EU should continue this policy (Cohesion Policy), where wealthier countries contribute more, and poorer EU regions receive more funding.” Strongly agree; Agree; Disagree, Strongly disagree 

Individual perceptions and characteristics: 
D1.Gender, D3.Age, D5.Occupational status, D2.Education, D7.Income level, Q11.Trust in people, Q12.More restrictions on immigration,Q13. Increase income redistribution, Q14.Preference for a strong leader, Q7. Voting in the last two European elections, Q16.Perception of corruption in the European Union, the national governing institutions, the regional/local governing institutions, D6.Type of area, D4.Years in the area, Q17.Satisfaction with economic situation in the region, Q18.Economy in the region today in comparison to 5 years ago
Region-level data from the PERCEIVE-QOG EU Regional Dataset 
Data from      DOI: 10.5281/zenodo.845349
PERCEIVE regional panel datasets.zip
codebook for regional panel dataset.pdf

Variables:
econ_2gdp_eur_hab_eu: GDP per inhabitant in Euro as percentage of EU average
SF_total_pc: Structural Funds per capita as the yearly average of the 2007-2013 period of the total annual Structural Fund expenditures in a region (includes the region’s OP and National OP) over the region’s total population of the corresponding year.
Objective1_r: Less Developed region defined as a dummy variable coded as 1 if the region falls under “Objective 1” status (2000-2006 parlance), “Cohesion” status (2007-2013 parlance) or “Less Developed” status (2014-2020 parlance), and 0 otherwise.