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All Journal ETIKONOMI Indonesian Journal of Applied Statistics Prosiding Seminar Nasional Official Statistics
Eliezer, Wisly Ryan
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Social Sciences

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Pengaruh Aksesibilitas dan Kesehatan Masyarakat terhadap Ketahanan Pangan di Papua dan Papua Barat Tahun 2022 Eliezer, Wisly Ryan
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2100

Abstract

The need for food is crucial for human life, no wonder it has become one of the common development goals by countries in the world related to ending hunger, obtaining food security, improving the quality of nutrition and proposing sustainable agricultural systems. Indonesia has problems in terms of food security, especially in Papua and West Papua with the lowest food security index value in 2022, even though these regions have extensive agricultural potential. This study aims to see an overview of the level of food security in Papua and West Papua and see the variables that affect it. The data used is data from 42 districts/cities in Papua and West Papua provinces sourced from the Central Bureau of Statistics and the Food Security Agency. The analysis method used is multiple linear regression. It was found that 25 districts/cities were still categorized as food insecure. Purchasing power and the level of public health are key factors to improve food security in Papua and West Papua.
The Role of Banking Credit and Innovation Technology in Deindustrialization in Indonesia Budiasih, Budiasih; Eliezer, Wisly Ryan
ETIKONOMI Vol 24, No 1 (2025)
Publisher : Faculty of Economic and Business

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/etk.v24i1.38755

Abstract

Research Originality: This study contributes to the literature by being the first to investigate the cause of deindustrialization from the production side, considering banking credit and innovation technology by Kaldor’s Second Law, specifically focusing on a regional level in Indonesia.Research Objectives: To investigate the impact of banking credit and innovation technology on deindustrialization on a regional level in Indonesia.Research Methods: This research uses using panel data model on 34 provinces from 2017-2022 and a Fixed Effect Model (FEM) with a Seemingly Unrelated Regression (SUR) method, incorporating other control variables was used. Share of bank credit to the manufacturing industry is used as a proxy for bank credit, while internet usage is used as a proxy for innovation technology.Empirical Results: The results showed that deindustrialization occurs in Indonesia even at the regional level. Banking credit and innovation technology are key factors driving the increase in GVA’s share of the manufacturing industry in Indonesia. Prioritizing the quality of workers and improving international trade could also effectively increase the GVA share of the manufacturing industry.Implications: This study offered valuable insights into designing and implementing capital policy strategies and equalizing internet access as an accelerator of innovation in the context of technology improvement to increase the manufacturing industry's GVA share.JEL Classification: O14, O11, R58How to Cite:Budiasih., & Eliezer, W. R. (2025). The Role of Banking Credit and Innovation Technology in Deindustrialization in Indonesia. Etikonomi, 24(1), 285 – 298. https://doi.org/10.15408/etk.v24i1.38755.
Analisis Spasial Kemiskinan di Pulau Jawa Tahun 2022 dengan Metode Geographically Weighted Regression (GWR) Eliezer, Wisly Ryan
Indonesian Journal of Applied Statistics Vol 7, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v7i2.87342

Abstract

Poverty is a multifaceted problem that poses a challenge for developing countries across the world, including Indonesia. Poverty is one of the global and national obligations stated in the first Sustainable Development Goals (SDGs), namely "Without Poverty". This study seeks to examine the factors that determine poverty in Java in 2022 while accounting for regional effects. Geographically Weighted Regression (GWR) is the methodology employed. The findings revealed that geographic/spatial characteristics had a substantial impact on poverty rates, and the GWR model generated a more accurate assessment measure than the global model. The structure of the parameters varies by location, with the variable coefficients of the health, salary, and credit indicators fluctuating, whilst the coefficients of the Education and Inflation Indicators remain similar throughout districts and cities. The government must implement proper measures to eliminate poverty not just nationally, but also in each district/city in Indonesia, particularly on Java Island. Policies might include improving human resources in education and health, monetary policies to sustain market pricing and determine minimum salaries, and policies to infuse credit assistance money into people's companies.Keywords: poverty, Geographically Weighted Regression (GWR), spatial analysis
Co-Authors Baehaqi