Title: Regional sustainable development indicators for developing countries: case study of provinces in Indonesia

Authors: Bachril Bakri; Ernan Rustiadi; Akhmad Fauzi; Soeryo Adiwibowo

Addresses: Ministry of Home Affairs Republic of Indonesia, Jl. Medan Merdeka Utara No. 7-8, Central Jakarta 10110, Indonesia ' Center for Regional Systems Analysis, Planning and Development (CrestPent/P4W), Bogor Agricultural University (IPB), Baranangsiang Campus, Jl. Raya Pajajaran, Bogor 16144, Bogor, Indonesia ' Department of Resources and Environmental Economics, Bogor Agricultural University, Jl. Raya Dramaga, Kampus IPB Dramaga, Bogor 16680, Bogor, Indonesia ' Department of Communication and Community Development Science, Bogor Agricultural University, Jl. Raya Dramaga, Kampus IPB Dramaga, Bogor 16680, Bogor, Indonesia

Abstract: A number of sustainable development indicators have been developed on a national and local scale. However, considering the many indicators that exist and have not been effective to encourage regional sustainable development in Indonesia, the purpose of this study was to formulate indicators for sustainable development of provincial regions in Indonesia, and to analyse typology and characteristics of sustainable development of provinces in Indonesia. This study develops 21 indicators of sustainable development for the Indonesian provinces. The results can be used to analyse the typology and characteristics of regional development in Indonesia and as a reference for developing countries. The two methods used are principal component analysis (PCA) and cluster analysis. The indicators are obtained by integrating the interests of regional, national and global development with the results of previous research. Some policy implications can be drawn from the research results related to the development of sustainable provincial development indicators in developing countries.

Keywords: sustainability indicators; sustainable regional development; SRD; developing country; decentralisation; component analysis; cluster analysis; typology.

DOI: 10.1504/IJSD.2018.100827

International Journal of Sustainable Development, 2018 Vol.21 No.1/2/3/4, pp.102 - 130

Accepted: 08 Dec 2018
Published online: 18 Jul 2019 *

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