| Issue |
E3S Web of Conf.
Volume 444, 2023
4th International Conference on Agribusiness and Rural Development (IConARD 2023)
|
|
|---|---|---|
| Article Number | 02034 | |
| Number of page(s) | 11 | |
| Section | Agricultural Economic and Business | |
| DOI | https://doi.org/10.1051/e3sconf/202344402034 | |
| Published online | 14 November 2023 | |
The contribution of agricultural crop production towards the economic growth of Indonesia’s agricultural sector
1 Research Center for Behavioral and Circular Economics, BRIN, South Jakarta, Indonesia
2 Research Center for Public Policy, BRIN, South Jakarta, Indonesia
3 Research Center for Social Welfare, Village, and Connectivity, BRIN, South Jakarta, Indonesia
* Corresponding author: samu003@brin.go.id
The agricultural sector is annually included in the top three after the manufacturing sector and wholesale and retail trade sectors as Indonesia’s largest contributor to gross domestic product (GDP). The average contribution of the agricultural sector to the country’s income is around 11–13% of total GDP. The GRDP of the agricultural sector (AgriGRDP) is an indicator of the economic growth of Indonesia’s agricultural sector. This study aims to examine the contribution of plantation crop production (PPC), food crop production (PFC), horticultural crop production (PHC), and farmer terms of trade (FTT) to the AgriGRDP. This study uses secondary data sourced from BPS-Statistics Indonesia. This research method uses panel data regression analysis with time series data for 2018–2021 and cross-sectional data from 33 provinces in Indonesia, resulting in 132 observations. The results of this study found that the best econometric model to answer the research objectives is the random effect model (REM). The findings of this study indicate that simultaneously and partially, the variables PPC, PFC, PHC, and FTT have a significant positive effect on AgriGRDP. An increase in PPC, PFC, PHC, and FTT will increase Indonesia’s AgriGRDP.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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