Increasing Local Content and Economic Growth Based on Research and Technological Innovation: A Bibliometric Analysis

Agus Krisnowo; Subchan .; Arman Hakim Nasution; Adhi Dharma Permana

doi:10.63332/joph.v5i5.1670

Authors

Agus Krisnowo Ph.D Student in Managament Technology, Interdisciplinary School of Technology and Management, Sepuluh Nopember Institute of Technology Surabaya, Surabaya, Indonesia, Research Center for Process and Manufacturing Industry Technology, National Research and Innovation Agency, Tangerang Selatan, Indonesia
Subchan . Department of Mathematics, Sepuluh Nopember Institute of Technology, Surabaya, Surabaya, Indonesia
Arman Hakim Nasution Public,Business, and Industrial Policies Center– Sepuluh Nopember Institute of Technology Surabaya, Surabaya Indonesia
Adhi Dharma Permana Research Center for Transportation Technology, National Research and Innovation Agency, Tangerang Selatan, Indonesia

DOI:

https://doi.org/10.63332/joph.v5i5.1670

Keywords:

Local Content, Economic Growth, Bibliometrics, Research and Innovation, Auction Process

Abstract

Various countries have implemented local content policies to protect local products. Most of them focus on the use of local labor and natural resources. The aspect of research and innovation as local content has not been widely adopted. This study analyzes research trends, local content and economic growth that intersect with research and innovation through bibliometric analysis. We use the Research Information System for frequency analysis, VOSviewer for data visualization, and Biblioshiny for metrics and citation analysis. We obtained 134 published research articles from the Scopus and Web of Science (WoS) databases, covering the years 2003 to 2023. The results show that the highest number of publications occurred in 2020. The most cited article discussed domestic content and technology intensity. A promising future research topic is the impact of engineering design in increasing local content. It can be developed in the requirements for the auction process.