Summary information

Study title

Expert Survey Election Campaigns in Indonesia

Creator

W.J. Berenschot (Royal Netherlands Institute of Southeast Asian and Caribbean Studies (KITLV))

Study number / PID

doi:10.17026/dans-xm4-exy3 (DOI)

easy-dataset:77573 (DANS-KNAW)

Data access

Information not available

Series

Not available

Abstract

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).

Topics

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Methodology

Data collection period

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Country

Time dimension

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Analysis unit

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Universe

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Sampling procedure

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Kind of data

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Data collection mode

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Access

Publisher

DANS Data Station Social Sciences and Humanities

Publication year

2018

Terms of data access

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Related publications

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