Agriculture and regional economic growth in Indonesia
Autor: | Wilson Rajagukguk |
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Rok vydání: | 2021 |
Předmět: |
Data source
education.field_of_study Economic research business.industry 05 social sciences Population Literacy rate 010501 environmental sciences Random effects model 01 natural sciences Gross domestic product Agricultural economics Environmental sciences Geography Outcome variable Agriculture 0502 economics and business GE1-350 education business 050203 business & management 0105 earth and related environmental sciences |
Zdroj: | E3S Web of Conferences, Vol 258, p 06037 (2021) |
ISSN: | 2267-1242 |
DOI: | 10.1051/e3sconf/202125806037 |
Popis: | The Republic of Indonesia consists of 34 provinces in 514 districts with diverse economic characteristics. The objective of this research is to analyze the association between agriculture sector and regional economic growth in Indonesia. The data source was from the Indonesia Database for Policy and Economic Research (INDO-DAPOER) of the World Bank. The study covered the period between 2001 and 2008. The province total gross domestic product (GDP) excluding oil and gas was used as the outcome variable. The covariates were grouped into agricultural and development variables. The agricultural variables were total agricultural credit, number of people employed in agriculture, forestry and fishery, and agriculture function expenditure. Meanwhile, the development variables were percentage of household with access to safe water and literacy rate for population age 15 and over. The data analysis method was the generalized least square multiple regression with random effects. The results of the study indicate that the Indonesia’s province GDP increased every year. In addition, higher economic growth was associated with higher total agriculture credit, larger number of people employed in agriculture, forestry and fishery, higher agricultural function expenditure, higher percentage of household with access to safe water, and higher literacy rate for population age 15 and over. |
Databáze: | OpenAIRE |
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