2026-05-02T13:59:58Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

fb75c6b25a3500868e91366b4d19357ae7d0acbae50374d8c9a64f2ae16176e7 2025-12-08T01:34:42Z language:enopenaire_data

Expert Survey Election Campaigns in Indonesia Expert Survey Election Campaigns in Indonesia doi:10.17026/DANS-XM4-EXY3easy-dataset:77573 W.J. Berenschot 2014-10-01 DANS Data Station Social Sciences and Humanities 2018-01-15 Arts and HumanitiesSocial SciencesElection campaignsRegional variation in the character of politicsClientelistic electoral strategiesClientelistic practicesCampaign organizationVoter behavior <p>The Expert Survey Election Campaigns in Indonesia is a dataset consisting of assessments of characteristics of election campaigns in 38 districts across Indonesia, given by 509 local observers (academics, journalists, campaign organizers, NGO activists). The aim of the expert survey is to study regional variation in the character of politics with a particular focus on assessing the character and pervasiveness of clientelistic electoral strategies. The survey contains questions on clientelistic practices (such as vote buying, as well the degree to which the distribution of various state resources – public services, welfare, contracts, jobs, licenses, social assistance - are perceived to be contingent on electoral support) as well as campaign organization (role of political parties, perceived influence of types of organizations and leaders, role of bureaucrats) and voter behavior (effectiveness of programmatic and clientelistic vote mobilization, ethnicity). The questions in the survey concern election campaigns for district head elections, governor, local parliaments as well presidential elections. This expert survey was executed among 509 academics, journalists, NGO activists and campaign organisers from 38 districts in 16 provinces across Indonesia between April and July 2014. The survey material was used in Aspinall and Berenschot, Democracy for Sale: Elections, Clientelism and the State in Indonesia (Ithaca: Cornell University Press 2018).</p> https://ssh.datastations.nl/oai doi:10.17026/DANS-XM4-EXY3 2025-12-03T01:00:47Z ddi:codebook:2_5