cover
Contact Name
EFI LPEM FEB UI
Contact Email
efi.lpemfeui@gmail.com
Phone
-
Journal Mail Official
efi@lpem-feui.org
Editorial Address
Institute for Economic and Social Research (LPEM-FEUI) Jl. Salemba Raya No. 4, Jakarta, Indonesia, 10430
Location
Kota depok,
Jawa barat
INDONESIA
Economic and Finance in Indonesia
Published by Universitas Indonesia
ISSN : 0126155X     EISSN : 24429260     DOI : -
Core Subject : Economy, Education,
Aims & Scope EFI mainly covers original idea related to the Economics and Finance in Indonesia. Published articles can be either theoretical, empirical, or in between of those two polar variants. The journal covers specific areas, including but not limited to: Agricultural Economics Capital Market Demography Development Economics Economy in Crisis Economy of Rural Areas Education Economics Energy Economics Environmental and Natural Resources Economics Financial Sector Health Economics History of Economic Thoughts Industrial Economics Institutional Aspect of Economy International Economics Investment Labor Economics Maritime Economics Methodology of Economics Monetary Economics Political Economics Poverty Economics Public Policy Public Sector Economics Regional Economics Urban Economics
Articles 5 Documents
Search results for , issue "Vol. 68, No. 2" : 5 Documents clear
Household Size and Household Wealth in Indonesia with the Influence of Spatial Aspects Soseco, Thomas
Economics and Finance in Indonesia Vol. 68, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Investigating household wealth should also include spatial analysis to capture the influence of location on the households’ net wealth and to avoid underestimation of the effect of the change of variables due to estimation that ignores spatial aspects. This paper examines factors influencing household net wealth in Indonesia with the influence of spatial lag using data from the Indonesian Family Life Survey (IFLS) for 1993–2014. The article relies on the Spatial Durbin Model (SDM) to analyze the data. Results show that household net wealth in Indonesia is spatially related to each other, and the spillover effect makes the change of household net wealth in Indonesia dominated by the change of variables in neighbouring regions. Furthermore, considering the time component, there is a positive effect of households’ size on households’ net wealth due to the time component concerning the spatial lag of the dependent and independent variables.
The Impact of COVID-19 Pandemic on Local Fiscal Revenue: Empirical Evidence from the Regions with Dominant Tertiary Sectors Jannah, Aisyah Nurrul; Khoirunurrofik, Khoirunurrofik
Economics and Finance in Indonesia Vol. 68, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The COVID-19 crisis has devastatingly affected social and economic sectors, including service or tertiary sectors such as banking, insuran;ce, hospitality, telecommunications, and industrial services. The pandemic has also aggravated fiscal conditions along with the slowing economy. This paper aims to assess the impact of COVID-19 on local own-source revenue in regions with dominant tertiary sectors and to examine how a fiscal incentive policy can increase the local own-source revenue. We applied the difference-in-difference panel random effect method by estimating total revenue and local own-source revenue as the outcome variables. The treatment variable is the districts/cities with dominant tertiary sectors of more than 40%, while the control variable is otherwise. The time variables comprise 2018-2019 (before the COVID-19 crisis) and 2020 (at the time of the COVID-19 crisis). The results show that the COVID-19 pandemic causes a decline in total revenue by 2.18%. However, the local own-source revenue increases by 4.62%. In addition, the cross-sectional method was employed to observe the effect of fiscal incentives on local own-source revenue. The results indicate that fiscal incentives, albeit not statistically significant, increase local own-source revenue by 25.7%. It implies that the role of incentives is not yet optimal. The local revenue recovery is mostly due to the large tax base in the tertiary economic regions.
Economic Growth and CO2 Emission in ASEAN: Panel-ARDL Approach Feriansyah, Feriansyah; Nugroho, Hari; Larre, Aura Asyda; Septiavin, Qori’atul; Nisa, Cintya Khairun
Economics and Finance in Indonesia Vol. 68, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper investigates the relationship between economic growth and CO2 emissions from 1994 to 2018 using a panel approach from eight ASEAN countries. We found an established result using the Panel ARDL Pooled Mean Group method. First, the panel Cointegration analysis shows a significant long-term relationship between GDP and CO2 emissions. Second, the error correction mechanism shows a stable and consistent value. Third, we found that GDP has a significant long-term effect on CO2 emissions in ASEAN countries. Fourth, our results also show that GDP significantly impacts CO2 emissions in the short term for four countries: Indonesia, Malaysia, Thailand, and Cambodia. Based on these empirical results, implications and policy recommendations are presented. ASEAN countries should implement green growth policies by encouraging economic development which does not suppress the environment.
The Nonlinear Impact of Payment System Innovation on Financial System Stability in the ASEAN-4 Countries Ekananda, Mahjus
Economics and Finance in Indonesia Vol. 68, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The increasing growth of financial system encourages payment system innovation that can affect financial system stability, particularly in ASEAN countries. This study explored a variety of payment system innovation, i.e. debit cards, credit cards, electronic money, and RTGS. The financial system stability index is measured by calculating the composite indexes of non-performing loans, Z-score from ROA and CAR, share price volatility, and yield bonds. The components of the indexes are structured to reflect risks from the banking, stock, and bond markets. The resulting index value indicates the level of risk in the financial system. A higher index specifies a higher risk and a more vulnerable financial system. Furthermore, it is noted that the effects of the independent variable can change according to economic conditions. The panel threshold model was applied to calculate the effects of various regimes, namely innovation, GDP, credit ratio, and stability index. The panel data were obtained from the ASEAN-4 countries (Indonesia, Malaysia, Thailand, and the Philippines) from 2012 to 2020. The panel threshold analysis shows an increase in the value of debit card, credit card, and RTGS transactions. Specifically, innovation and GDPR negatively affect the stability index. Increasing the value of payment system innovation will decrease the risk to financial system stability in ASEAN countries. The monetary authorities of each country can implement these findings by considering the rapid development of payment system innovation and the danger it may pose to financial system stability.
Simultaneous Relationship between Financial Inclusion, Economic Growth, and Income Inequality in Sulawesi Island, 2011-2019 Nursaliyawati, Adella Siti; Oktora, Siskarossa Ika
Economics and Finance in Indonesia Vol. 68, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sulawesi Island has fairly high economic growth but is not followed by a significant decrease in income inequality. Therefore, a new strategy is needed to overcome these problems, one of them by increasing the role of the financial sector through financial inclusion. This study aims to analyze the relationship between financial inclusion, economic growth, and income inequality, as well as the factors influencing them in Sulawesi Island from 2011 to 2019. The analytical method used is the simultaneous equation model with panel data using the EC2SLS model. The results show that there is a simultaneous relationship between financial inclusion and economic growth and also between economic growth and income inequality. Economic growth has a positive and significant effect on financial inclusion. Financial inclusion, foreign direct investment, and government spending have a positive and significant effect, while income inequality has a negative and significant effect on economic growth. Financial inclusion and inflation have a positive and significant effect, while economic growth has a negative and significant effect on income inequality. Thus, this study can show that financial inclusion can reduce income inequality by promoting economic growth.

Page 1 of 1 | Total Record : 5