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All Journal Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan Journal of Applied Economics in Developing Countries Economics Development Analysis Journal
Vita Kartika Sari
Faculty of Economics and Business, Universitas Sebelas Maret
Economics, Econometrics & Finance

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New Evidence of Environmental Kuznets Curve Hypothesis in Developing Countries Malik Cahyadin; Vita Kartika Sari; Aulia Hapsari Juwita
Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan Vol 22, No 2 (2021): JEP 2021
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jep.v22i2.15794

Abstract

New indexes of environment and institutions are constructed following principal component analysis (PCA), while non-linear panel regression is employed. This study attempts to estimate a non-linear impact of GDP per capita on the environment following the Environmental Kuznets Curve (EKC) Hypothesis for 97 developing countries during 1991-2014. The study reveals that a traditional EKC shows a U-shaped relationship under static panels, with both quadratic and cubic regressions. Interestingly, the inverted U-shaped occurs when a traditional EKC is estimated by the dynamic panels, with both quadratic and cubic regressions. Moreover, the EKC model is inverted U-shaped following static and dynamic panels, with both quadratic and cubic regressions under institutions. Indeed, the institutions significantly contribute to express EKC in developing countries. Policymakers should formulate environmental policies following climate change mitigation in the environmental sustainability framework, improve the quality of institutions, and increase macroeconomic management to anticipate external shocks such as openness, globalization, and FDI inflows.
ANALYSIS OF FACTORS INFLUENCE MARRIED WOMEN’S DECISION TO WORK IN BANYUPUTIH VILLAGE, JEPARA REGENCY Dita Ramadhani; Dwi Prasetyani; Vita Kartika Sari; Abdus Sihab Patoni
Journal of Applied Economics in Developing Countries Vol 8, No 1 (2023): Journal of Applied Economics in Developing Countries
Publisher : MESP–FEB UNS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jaedc.v8i1.79448

Abstract

Gender equality and employment opportunities provide a great opportunity for women to enter the labor market. This study aims to analyze the factors that influence the decision of married women to work in Banyuputih Village, Jepara Regency. Banyuputih village was chosen as a research location because of the existence of a manufacturing industry that was able to boost the village's economy. The number of samples used in the study were 100 respondents in accordance with the objectives of the study. The independent variables used are the level of education, husband's income and the number of children under five. Data analysis was performed using Binary Logistic Regression because the dependent variable was in the form of dummy. The analysis showed that the level of education had a positive and significant effect, while the husband's income variable and the number of children under five had a negative and significant effect on the decision of married women to work in Banyuputih Village.
Financial Development and Poverty Reduction in Indonesia: An Empirical Investigation Vita Kartika Sari
Economics Development Analysis Journal Vol. 14 No. 2 (2025): Economics Development Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v14i2.22343

Abstract

Poverty in Indonesia has decreased but still presents many challenges in achieving significant reduction targets. The main objective of this study is to estimate the effect of financial sector development on poverty in Indonesia. The dependent variable was household final consumption expenditure as a proxy for poverty, while the independent variables were broad money and gross savings. The study used time series data and applied the ARDL-ECM (Autoregressive Distributed Lag–Error Correction Model) method for 1981–2022. The main finding was that broad money did not significantly affect poverty reduction. Gross savings were significant with a negative coefficient; higher savings were associated with higher poverty rates due to decreased consumption. Furthermore, the stability of the research model was tested using normality, serial correlation, heteroscedasticity, cumulative sum (CUSUM), and cumulative sum of squares (CUSUMQ) tests. The financial sector can reduce poverty through efficient financial services for the poor, microeconomic empowerment, and increased financial inclusion. In the future, the government must promote a conducive and competitive financial sector to support poverty alleviation programs
Co-Authors Abdus Sihab Patoni Aulia Hapsari Juwita Dita Ramadhani Dwi Prasetyani Malik Cahyadin