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Apakah Ketahanan Pangan dapat Menurunkan Pekerja Anak di Indonesia? Putri, Nabila Aurelliza Candrika; Rahmat, Ervan Nur; Primasrani, Byun Jiye; Safitri, Junita Sholekhatun; Akbar, Fadly Muhamad; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1800

Abstract

Child labor is a global issue and one of the national problems that requires immediate and continuous action. According to FAO, there is a link between poverty and food security for child labour. Therefore, this research was conducted with the aim of seeing whether food security, which is approached by the variables of poverty, food expenditure, length of education, and income, has an effect on child labour. The method used is panel data regression which in the end the FEM model was chosen as the best model in achieving the research objectives. In this study, the results showed that empirically the poor had a positive effect, spending on food had a negative effect, length of education had a positive effect, and income per capita had a negative effect. So it can be said that food security has an influence on child labour.
Spatial Analysis of Spillover Effects in The Manufacturing Industry: The Influence of Infrastructure and Industrial Estates in East Java Through an Open Data Approach Primasrani, Byun Jiye; Akbar, Fadly Muhammad; Dirgantara, Muhammad Prabu
East Java Economic Journal Vol. 9 No. 2 (2025)
Publisher : Kantor Perwakilan Bank Indonesia Provinsi Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53572/ejavec.v9i2.202

Abstract

The transition from labor-intensive to capital-intensive industries is a key driver of long-term economic growth. East Java Province holds a strong foundation in the manufacturing sector, positioning it as a locomotive of national industrial growth. While local industrial estates contribute to increasing value-added, the concentration of economic activity also carries the risk of widening spatial disparities between regions. This study aims to examine the spillover effects of industrial estates and infrastructure on manufacturing output. Furthermore, it classifies districts and municipalities based on the most significant and promising variables for the development of new industrial zones. The dependent variable used is manufacturing output, while the independent variables include toll road length, the number of Base Transceiver Stations (BTS), Night-Time Lights (NTL), the Human Development Index (HDI), manufacturing investment, manufacturing labor, minimum wage, and an industrial estate dummy. The analytical method employed is spatial analysis using the Spatial Durbin Error Model (SDEM). The results indicate the presence of positive spillover effects from industrial estates, while BTS and NTL have a direct influence on manufacturing output. Conversely, toll road length, HDI, manufacturing investment, and manufacturing labor primarily affect the sector indirectly. Potential areas for future industrial estate development include urban centers such as Kediri City and Malang City.