Cargando…

Dataset on macroeconomic indicators and fiscal decentralisation indices’ variables in Central Java Province, Indonesia

Macroeconomics data was collected through the Central Statistics Agency (BPS) Central Java Province for the thirty-five regencies and municipalities in Central Java Province from 2017 to 2021. The Fundamental index of fiscal decentralisation (FFDI) and Enhanced index of fiscal decentralisation (EFDI...

Descripción completa

Detalles Bibliográficos
Autores principales: Lee, Yvonne, Azlan, Aliya Marissa Binti, Lim, WeiLee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518670/
https://www.ncbi.nlm.nih.gov/pubmed/37753257
http://dx.doi.org/10.1016/j.dib.2023.109554
_version_ 1785109566513479680
author Lee, Yvonne
Azlan, Aliya Marissa Binti
Lim, WeiLee
author_facet Lee, Yvonne
Azlan, Aliya Marissa Binti
Lim, WeiLee
author_sort Lee, Yvonne
collection PubMed
description Macroeconomics data was collected through the Central Statistics Agency (BPS) Central Java Province for the thirty-five regencies and municipalities in Central Java Province from 2017 to 2021. The Fundamental index of fiscal decentralisation (FFDI) and Enhanced index of fiscal decentralisation (EFDI) were adapted from [1] and corresponding datasets matched to fiscal data from the Central Java province government. The data sources and indices’ calculation methodologies were described in detail. The resulting indices, together with labour participation rate, as well as foreign and domestic investment data were analysed in a panel data analysis model with Gross Regional Domestic Product as the outcome variable. The collected data enables researchers and policy-makers to update observations on the impact of Indonesia's ‘Big Bang’ fiscal decentralisation on economic growth in a province with above-average growth rate but which had experienced significant challenges arising from the Covid-19 pandemic. This is in light of previous research findings which found that the Indonesian decentralisation has had mixed outcomes due to institutional and fiscal capability limitations within the local governments. The detailed sources and steps to obtain the required data and calculate the FFDI and EFDI enables researchers to apply the indices in providing updated observations on the impact of fiscal decentralisation on various socioeconomic phenomenon.
format Online
Article
Text
id pubmed-10518670
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-105186702023-09-26 Dataset on macroeconomic indicators and fiscal decentralisation indices’ variables in Central Java Province, Indonesia Lee, Yvonne Azlan, Aliya Marissa Binti Lim, WeiLee Data Brief Data Article Macroeconomics data was collected through the Central Statistics Agency (BPS) Central Java Province for the thirty-five regencies and municipalities in Central Java Province from 2017 to 2021. The Fundamental index of fiscal decentralisation (FFDI) and Enhanced index of fiscal decentralisation (EFDI) were adapted from [1] and corresponding datasets matched to fiscal data from the Central Java province government. The data sources and indices’ calculation methodologies were described in detail. The resulting indices, together with labour participation rate, as well as foreign and domestic investment data were analysed in a panel data analysis model with Gross Regional Domestic Product as the outcome variable. The collected data enables researchers and policy-makers to update observations on the impact of Indonesia's ‘Big Bang’ fiscal decentralisation on economic growth in a province with above-average growth rate but which had experienced significant challenges arising from the Covid-19 pandemic. This is in light of previous research findings which found that the Indonesian decentralisation has had mixed outcomes due to institutional and fiscal capability limitations within the local governments. The detailed sources and steps to obtain the required data and calculate the FFDI and EFDI enables researchers to apply the indices in providing updated observations on the impact of fiscal decentralisation on various socioeconomic phenomenon. Elsevier 2023-09-12 /pmc/articles/PMC10518670/ /pubmed/37753257 http://dx.doi.org/10.1016/j.dib.2023.109554 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Lee, Yvonne
Azlan, Aliya Marissa Binti
Lim, WeiLee
Dataset on macroeconomic indicators and fiscal decentralisation indices’ variables in Central Java Province, Indonesia
title Dataset on macroeconomic indicators and fiscal decentralisation indices’ variables in Central Java Province, Indonesia
title_full Dataset on macroeconomic indicators and fiscal decentralisation indices’ variables in Central Java Province, Indonesia
title_fullStr Dataset on macroeconomic indicators and fiscal decentralisation indices’ variables in Central Java Province, Indonesia
title_full_unstemmed Dataset on macroeconomic indicators and fiscal decentralisation indices’ variables in Central Java Province, Indonesia
title_short Dataset on macroeconomic indicators and fiscal decentralisation indices’ variables in Central Java Province, Indonesia
title_sort dataset on macroeconomic indicators and fiscal decentralisation indices’ variables in central java province, indonesia
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518670/
https://www.ncbi.nlm.nih.gov/pubmed/37753257
http://dx.doi.org/10.1016/j.dib.2023.109554
work_keys_str_mv AT leeyvonne datasetonmacroeconomicindicatorsandfiscaldecentralisationindicesvariablesincentraljavaprovinceindonesia
AT azlanaliyamarissabinti datasetonmacroeconomicindicatorsandfiscaldecentralisationindicesvariablesincentraljavaprovinceindonesia
AT limweilee datasetonmacroeconomicindicatorsandfiscaldecentralisationindicesvariablesincentraljavaprovinceindonesia