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ANALISIS KONSENTRASI RASIO INDUSTRI BESAR DAN SEDANG DI INDONESIA (STUDI EMPIRIS PADA PERUSAHAAN MANUFAKTUR SUBSEKTOR MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2013 -2017) Miar Miar; Kiki Ronaldo Batubara
JEMBATAN Vol 16, No 2 (2019)
Publisher : Jurusan Manajemen Fakultas Ekonomi Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.347 KB) | DOI: 10.29259/jmbt.v16i2.10754

Abstract

This study examines the concentration ratio of large and medium industries in Indonesia (Empirical Study of Food and Beverage sub-sector Manufacturing Companies Listed on the Indonesia Stock Exchange for the 2013-2017 Period). The purpose of this study to analyze how the concentration ratio of the food and beverage industry in Indonesia and find out how much the company is able to dominate the market. The data used in this study are secondary data obtained from the Indonesia Stock Exchange (IDX) and browsing the internet website as a support. The analytical method used in this study is the concentration ratio, hierfindahl index, and multiple linear regression analysis methods with the help of SPSS 21. The results of this study indicate that the market structure of the food and beverage industry in Indonesia for the period 2013-2017 using CR4 is a full oligopoly structure in which the 4 largest companies control about 88% market share, while CR8 is a monopoly structure in which the 8 biggest companies control about 97% market share. While the herfindahl index has an oligopoly structure. In this study shows that the variable capital has a positive and significant effect on the concentration ratio while the variable of labor and value added has a significant negative effect on the concentration ratio of large and medium industries in Indonesia. Variable labor capital and value added have a significant and significant effect on the concentration of large and medium industry ratios in Indonesia.
The Implementation Of Smart Cities Can Effect The Poverty Rate Reduces In The East Barito District Miar Miar
Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Vol 2 No 2 (2023): Mei : Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupsim.v2i2.1339

Abstract

This study aims to update our knowledge of learning literature about the factors that influence poverty and its relation to smart city development. The data collection technique uses a secondary data approach with sources from BPS Barito Timur. This research focuses on how the independent variables affect the dependent variable either partially (single) or simultaneously (together) in the context of smart city development using Excel and the Eviews application 12. The results obtained based on this research simultaneously have a relevant or influential impact on economic growth, population, unemployment, and HDI and how these factors relate to innovative city development. In addition, the positive economic growth achieved individually affects poverty. The unemployment rate and the HDI negatively impact the poverty threshold, which can be addressed through intelligent city development initiatives.
Of Smart The Implementation Cities Can Effect The Poverty Rate Reduces In The East Barito District Miar Miar
Manajemen Kreatif Jurnal Vol 1 No 2 (2023): Mei : Manajemen Kreatif Jurnal
Publisher : Sekolah Tinggi Ilmu Ekonomi Trianandra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (784.841 KB) | DOI: 10.55606/makreju.v1i2.1334

Abstract

This study aims to update our knowledge of learning literature about the factors that influence poverty and its relation to smart city development. The data collection technique uses a secondary data approach with sources from BPS Barito Timur. This research focuses on how the independent variables affect the dependent variable either partially (single) or simultaneously (together) in the context of smart city development using Excel and the Eviews application 12. The results obtained based on this research simultaneously have a relevant or influential impact on economic growth, population, unemployment, and HDI and how these factors relate to innovative city development. In addition, the positive economic growth achieved individually affects poverty. The unemployment rate and the HDI negatively impact the poverty threshold, which can be addressed through intelligent city development initiatives.
Analysis of Labor Absorption in Small Industries in Palangka Raya City (Case Study in Pahandut, Jekan Raya and Sabangau Districts) Miar Miar; Ahmad Rizani; Desi Desi
Journal Magister Ilmu Ekonomi Universtas Palangka Raya : GROWTH Vol. 7 No. 2 (2021): GROWTH : Journal Magister Ilmu Ekonomi Universitas Palangka Raya
Publisher : Fakultas Ekonomi dan Bisnis Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52300/grow.v7i2.8404

Abstract

The purpose of this study was to analyze the effect of capital, labor productivity and labor wages in the labor absorption on small industries in Palangka Raya City partially or simultan. This type of study was quantitative study by conducting interviews and questionnaires to 100 respondents of small industry entrepreneurs in Palangka Raya City ( Case studies in the sub-districts of Pahandut, Jekan Raya and Sabangau) by using multiple linear regression analysis tool. The results of this study showed that simultaneously capital, labor productivity and labor wages have a significant effect on employment. Partially capital, labor productivity and labor wages have a significant effect on labor absorption
Of Smart The Implementation Cities Can Effect The Poverty Rate Reduces In The East Barito District Miar Miar
Manajemen Kreatif Jurnal Vol. 1 No. 2 (2023): Mei : Manajemen Kreatif Jurnal
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/makreju.v1i2.1334

Abstract

This study aims to update our knowledge of learning literature about the factors that influence poverty and its relation to smart city development. The data collection technique uses a secondary data approach with sources from BPS Barito Timur. This research focuses on how the independent variables affect the dependent variable either partially (single) or simultaneously (together) in the context of smart city development using Excel and the Eviews application 12. The results obtained based on this research simultaneously have a relevant or influential impact on economic growth, population, unemployment, and HDI and how these factors relate to innovative city development. In addition, the positive economic growth achieved individually affects poverty. The unemployment rate and the HDI negatively impact the poverty threshold, which can be addressed through intelligent city development initiatives.