Quarterly Gross Regional Domestic Product of East Java Province According to Expenditures 2019-2023 - BPS-Statistics Indonesia Jawa Timur Province

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Quarterly Gross Regional Domestic Product of East Java Province According to Expenditures 2019-2023

Catalog Number : 9302020.35
Publication Number : 35000.24026
ISSN/ISBN : 2746-573X
Publishing Frequency : Annually
Release Date : July 9, 2024
Language : Indonesian
File Size : 0.93 MB

Abstract

Gross Regional Domestic Product (GRDP) is one of the economic data tools that can be used to evaluate the performance of economic development of a region (province or district/city). This data tool can also be used for other interests and purposes, such as as a basis for developing economic models in order to formulate policy formulations, the level of velocity of money, financial deepening, tax determination, export and import studies and so on. GRDP according to expenditure explains the value of products or goods and services used as final consumption by the community, which is realized in the form of: Household Consumption Expenditure, Non-Profit Institution Consumption Expenditure Serving Households, Government Consumption Expenditure, Investment (Gross Fixed Capital Formation and Changes in Inventory), Foreign Exports, Foreign Imports, and Net Exports Between Regions (inter-regional exports minus inter-regional imports). The publication of Quarterly Gross Regional Domestic Product (GRDP) According toExpenditure for 2019-2023 of East Java Province contains quarterly GRDP according to expenditure from 2019 to 2023 along with the scope andsources of data used in each component. This publication containsa review of the quarterly economic development of East Java Province presentedin descriptive analysis, figures and tables. Data is presented at current prices and at constant prices 2010 in the form of nominal values ​​and inpercentages for distribution and growth, and has implemented the concept ofSystem of National Accounts 2008 as recommended by the United Nations.To all members of the Publication Compilation Team who have contributedto realizing this publication, the highest appreciation is conveyed. Likewise, to government agencies and private institutions/companies that have provided data support for the preparation of this publication, we would like to thank. Hopefully the cooperation that has been established so far can continue and be improved in the future.
Badan Pusat Statistik

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