2019 Survey data of Creative Industries in Kampongs in Bandung, Indonesia

DOI

The datasets here listed are the result of a survey (2019) and a mapping exercise (2019/2020) related to understand the context of creative industries in three kampongs in Bandung, Indonesia. These activities were conducted as part of the NWO-WOTRO funded project “Informal economies and creative industry strategies (INECIS) – governance, arrangements, socio-spatial dynamics and informal economies in urban kampungs in Indonesia”. The INECIS project has an international collaboration between the Faculty of Geo-Information Science and Earth Observation (ITC) from the University of Twente the Netherlands, the Institut Teknologi Bandung (ITB) Indonesia, and Perkumpulan Inisiatif Indonesia. The aforementioned datasets allowed us to investigate the socio-spatial patterns of creative industries in these areas before, during and after the implementation of the 2009 Creative Economy national policy. In particular, they allowed us to explore further the socio-economic and spatial patterns of creative industries of three kampongs, which differ in four main aspects: the main type of creative activities, the social and historical characteristics of these businesses, the evolution of their spatiality and the policies and institutional strategies put in place to support them.

Identifier
DOI https://doi.org/10.17026/dans-z6s-47js
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-z6s-47js
Provenance
Creator A.M Bustamante; M Madureira; A Aritenang
Publisher DANS Data Station Social Sciences and Humanities
Contributor M Th Koelen; K Pfeffer (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente); F Zul Fahmi (Institut Teknologi Bandung); D Ramdan (Perkumpulan Inisiatif); A Nurman (Perkumpulan Inisiatif)
Publication Year 2022
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact M Th Koelen (Faculty of Geo-Information Science and Earth Observation)
Representation
Resource Type Dataset
Format text/plain; text/csv; application/zip
Size 9901; 26429; 240476; 28140
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences