Atik Purmiyati
Faculty of Economics and Business, Airlangga University

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The Effect of Political and Economic Dimensions on Poverty in Indonesia Atik Purmiyati; Asan Ali Golam Hassan; Dyah Wulan Sari; Vandi Romadhoni; Nonny Anggela; Laila Rahmadani
Jurnal Ekonomi dan Studi Pembangunan Vol 15, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um002v15i22023p018

Abstract

This study aims to identify and analyze the factors that influence poverty of 33 province in Indonesia at 2010-2019. In this study using panel data regression using the Random Effect Model (REM). The independent variables used in this study consisted of the Indonesian Democracy Index (IDI), Economic Institutions, Regional Minimum Wage, Gross Regional Domestic Product (GRDP), Open Unemployment Rate, Mean Years School and Life Expectancy. The results of the study show that simultaneously all independent variables have a significant effect on poverty variables in Indonesia and partially economic institution variables, mean years school, life expectancy, have a negative effect and open unemployment rate variables have a positive effect on poverty in Indonesia in 2010-2019. In addition, IDI, Regional Minimum Wage, GRDP have no significant effect on poverty in Indonesia in 2010-2019.
Technical Efficiency Analysis of MSMEs Fashion Offline and Online in Surabaya Atik purmiyati; Tamat Sarmidi; Reza Pradipta
Jurnal Ekonomi dan Studi Pembangunan Vol 14, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um002v14i22022p214

Abstract

The main purpose of this study is analyzing the level of technical efficiency of MSMEs fashion offline with offline and online in Surabaya, examine the differences between offline with offline and online, and determine the factors that affect technical efficiency. This study uses purposive sampling method with primary data. Non-parametric and parametric approach used with Data Envelopment Analysis, Independent sample T-Test and Tobit Regression. First, the results showed the average level of technical efficiency of offline MSMEs fashion was 65 percent with 8 efficient businesses. Meanwhile, the average level of technical efficiency of online and offline MSMEs fashion is 77.1 percent with 20 efficient businesses. Second, there are differences in the average efficiency of offline and online MSMEs fashion. The result of Tobit Regression on the offline MSMEs fashion show the length of business and number of store offline have positive and significant impact on technical efficiency, while number of workers and capital credit has no significant effect. While on offline and online MSMEs fashion, show the number of online stores and capital credit has a positive and significant impact on technical efficiency, while the length of business and the number of offline stores have no significant effect.