Determinant Factors of Financial Inclusion

Prakoso, Dito

doi:10.58968/ria.v2i1.138

Cited by 4 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then, in the IDX financial sector index model, there are two significant variables, namely money supply and Industrial Production Index. In the future, the use of GMM or dynamic panels can be considered (Prakoso, 2022;.…”

Section: Discussionmentioning

confidence: 99%

Macroeconomic Variables, Global Stock, and Financial Sector Stock Indices in Indonesia

Rusydiana,

Prakoso,

Ikhwan

2023

View full text Add to dashboard Cite

This study aims to analyze the impact of macroeconomic variables and global stock indices on the financial sector stock index in Indonesia. The data used is secondary data in the form of monthly time series from January 2010 to December 2019, which comes from Bank Indonesia, the Central Bureau of Statistics (BPS), and Yahoo Finance. The variables of this study include the Jakarta Islamic Index (Indonesia), IDX Sectoral Index (Indonesia), Money Supply Inflation, Rupiah against USD Exchange Rate, Crude Palm Oil Price, Industrial Production Index, KL Financial Sectoral Index (Malaysia), SET Financial Sectoral Index (Thailand) and S&P 500 Stock Index (USA). The analysis method used is Autoregressive Distributed Lag (ARDL). The results concluded that the short-term estimation resulted in the exchange rate variable, the Industrial Production Index (IPI), and the Thailand SET financial sector stock index having a significant effect on the JII index, while the money supply variable, the Malaysia KL financial sector stock index, the Thailand SET financial sector stock index, and the US S&P 500 stock index had a significant effect on the IDX financial sector index. Then, the long-term estimation found that the Thailand SET financial sector stock index variable has a significant effect on the JII. Then, in the IDX financial sector index model, there are two significant variables, namely money supply and Industrial Production Index.

show abstract

Section: Discussionmentioning

confidence: 99%

Macroeconomic Variables, Global Stock, and Financial Sector Stock Indices in Indonesia

Rusydiana,

Prakoso,

Ikhwan

2023

View full text Add to dashboard Cite

show abstract

“…The researcher suggests for further researchers to add other variable components such as control variables, or add other proxies to see the impact of the Covid-19 pandemic. Apart from that, the dynamic panel method or GMM model, for example, can be used (Prakoso, 2020(Prakoso, , 2022Rusydiana & Prakoso, 2021).…”

Section: Discussionmentioning

confidence: 99%

Influence of Working Capital Management on Business Performance: Moderating Effect of COVID-19

Badruzaman

2023

RIA

View full text Add to dashboard Cite

The aim of this research is to find the influence between Working CapitalManagement and Business Performance in COVID-19 era. The quantitativeresearch methods, multiple regressions, secondary data and purposive samplinghave been worked out. The authors have collected a panel of 16 of HealthcareSector Company from Indonesia Stock Exchange in 2018-2021. The results ofthis study indicate that Working Capital Management measured by GWCR hasan effect on business performance and NWCR has no effect on businessperformance measured by ROA and ROE. Meanwhile, Covid-19 did notmoderate the influence between GWCR on business performance and Covid-19was able to moderate the relationship between NWCR and businessperformance. By validating the findings with previous researchers, this researchwill contribute to the literature and business surveys. It will benefit academic,social and practical behavior.

show abstract

“…These diverse procedures allow us to examine the effects of various variables on economic growth in dynamic specifications in order to obtain robust results. The method commonly used for this case is the GMM application (Prakoso, 2022;2021) or standard panel regression (Firmansyah, 2022;Ganiarti, 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

Does Renewable Energy Consumption a Driver for Economic Growth? Panel Data Analysis in Selected OIC Countries

Pratomo,

Rusydiana,

Riani

et al. 2023

IJEEP

View full text Add to dashboard Cite

This paper aims to examine the relationship between energy consumption from renewable energy sources, and economic growth expressed in GDP per capita in several OIC countries. The dataset used involves data from OIC (Organization of Islamic Cooperation) countries including Indonesia, Iran, Turkey, Saudi Arabia, Nigeria, Egypt, UAE, Malaysia, Bangladesh, and Pakistan for the period 2000 to 2018 obtained from the World Development Index. This study uses a dynamic panel estimation approach such as DOLS and FMOLS to determine the long-term relationship between variables. We also discuss how to use the panel Granger-causality test to estimate causality in the short term. The empirical result shows that in the long-run, renewable energy consumption doesn't have an effect on economic growth. Meanwhile, CO2 emissions were found to have a significant positive relationship with economic growth. Furthermore, the conservation hypothesis theory is accepted between economic growth and consumption of renewable energy. Thus, the implementation of conservation policies can be applied by taking into account economic growth.

show abstract

Determinant Factors of Financial Inclusion

Cited by 4 publications

References 19 publications

Macroeconomic Variables, Global Stock, and Financial Sector Stock Indices in Indonesia

Macroeconomic Variables, Global Stock, and Financial Sector Stock Indices in Indonesia

Influence of Working Capital Management on Business Performance: Moderating Effect of COVID-19

Does Renewable Energy Consumption a Driver for Economic Growth? Panel Data Analysis in Selected OIC Countries

Contact Info

Product

Resources

About