Strengthening of National Resilience: Leading Sector Mapping for Digital Economy In Indonesia
- DOI
- 10.2991/aebmr.k.200915.011How to use a DOI?
- Keywords
- Indonesia, leading sector, digital economy, economic resilience
- Abstract
Economic growth in Indonesia in general has experienced rapid progress where Indonesia’s economic growth has increased every year. The development of a digital economy echoed by the government requires appropriate strategies and identification to be able to answer the economic needs of each region. Proper identification will help formulate government policies so that they support programs to accelerate economic growth and support the strengthening of national economic resilience. The research method used in this study is a quantitative study using Location Quotient (LQ) analysis as an analysis tool to identify leading sectors in each region throughout Indonesia. Observations were made in all regions in Indonesia using BPS data based on regional categorization consisting of Sumatra, Java, Kalimantan, Sulawesi, Nusa Tenggara, and Maluku-Papua. The results of the analysis show that each region has different leading sectors from each other. The government can prepare a digital economic development plan by taking into account the economic potential in each region so as to create economic development that is right on target and supports strengthening national economic resilience.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Eduardo Edwin Ramda AU - Supandi PY - 2020 DA - 2020/09/15 TI - Strengthening of National Resilience: Leading Sector Mapping for Digital Economy In Indonesia BT - Proceedings of the International Conference on Management, Accounting, and Economy (ICMAE 2020) PB - Atlantis Press SP - 41 EP - 46 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200915.011 DO - 10.2991/aebmr.k.200915.011 ID - Ramda2020 ER -