On Capital Flight from the ASEAN-8 Countries: A Panel Data Estimation

Istikomah, Navik; Suhendra, Indra; Anwar, Cep Jandi

doi:10.13106/jafeb.2020.vol7.no12.043

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…Moreover, an inflationary gap occurs when people start to know what they want, resulting in effective demand for goods. Subsequently, inflation occurs due to a rise in demand for an item to a price level exceeding the maximum limit of the goods produced by the community [9], [42]. There is a significant negative link between inflation and the CA balance.…”

Section: Resultsmentioning

confidence: 99%

Exchange Rate and Current Account Balance: Evidence from ASEAN-5 Countries

Anwar,

Suhendra,

Ginanjar

et al. 2023

Proceedings of the International Conference on Sustainability in Technological, Environmental, Law, Management, Social and Econ

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The aim of this paper was to analyse the impact of the exchange rate and other macroeconomic variables on the current account (CA) balance in 5 Southeast Asia countries between 1991 and 2021. The analysis of this study employs panel data model with fixed effect estimation. The findings show that the currency rate negatively and significantly impacts the CA balance in ASEAN-5 countries. Furthermore, inflation has significantly negative impact, while economic growth and FDI positively and significantly affect the current account. Therefore, developing countries in Southeast Asia need to maintain their exchange rate to reduce the widening current account deficit and sustain positive investor sentiment. Furthermore, they need to increase economic growth, FDI inflows and reduce the inflation rate to increase the current account.

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Section: Resultsmentioning

confidence: 99%

Exchange Rate and Current Account Balance: Evidence from ASEAN-5 Countries

Anwar,

Suhendra,

Ginanjar

et al. 2023

Proceedings of the International Conference on Sustainability in Technological, Environmental, Law, Management, Social and Econ

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“…Other studies supported the inclusion of capital formation (Pasara & Garidzirai, 2020;Topcu et al, 2020), human capital (Matousek & Tzeremes, 2021;Sulaiman et al, 2021) and labor force growth (Raghutla, 2020;Yıldırım & Akinci, 2021) in the real output per capita function. These three variables together with z jit are the control variables in this study.…”

Section: Empirical Modelmentioning

confidence: 87%

The Happiness-Economic Well-Being Nexus: New Insights From Global Panel Data

Lee,

Goh

2023

SAGE Open

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This paper explores whether happiness-led growth policies implemented in some countries are viable for achieving better economic well-being proxied by GDP per capita using a panel dataset covering 104 countries from 2006 to 2018. While past studies showed that economic growth promotes happiness, this paper applied the panel Granger causality test to show that GDP per capita is also determined by happiness. Accordingly, the pooled ordinary least squares, random-effects model, fixed-effects model, and two-step generalized method of moments were employed to estimate the effect of changes in happiness on economic growth. The empirical results suggest that economic growth of 1% to 3% can be obtained by increasing happiness. The positive effect of happiness is about four times greater in developed countries than in developing countries. This paper reveals that happiness should be included in conventional economic growth models to achieve a holistic approach in designing development policies.

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“…Che Sulaiman, Saputra & Muhamad (2021) To investigate the relationships between human capital and innovation capacity and economic growth.…”

Section: Kumar and Bindu (2021)mentioning

confidence: 99%

Relationship between financial indicators in the Slovak engineering industry: A panel regression approach

Jenčová,

Petruška,

Gavura

et al. 2023

Journal of International Studies

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The aim of this article is to analyse the relationship between financial indicators in the Slovak engineering industry. We analyse the dependence of the financial indicator return on assets (ROA) on other financial indicators of companies in the engineering industry of the Slovak Republic, namely indicators of indebtedness (ED, FL, TI), liquidity (QR, CR, NWC/A), productivity (VA/PC, VA/S), cost efficiency (PC/S), and activity (TA). The research sample comprises the data of 34 significant Slovak engineering companies for the period 2008-2020. Tests for slope homogeneity demonstrated heterogeneity, which motivated the use of a partially heterogeneous framework for short panel data models – a regression clustering approach. This method divides the entities into clusters so that the column coefficients are homogeneous inside the clusters. The 4-cluster model appeared to be the most favorable model for the studied group of companies. The conducted procedures can be extended to companies from other economic sectors. Understanding of the relationship between ROA and other financial indicators allows for more effective business management.

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On Capital Flight from the ASEAN-8 Countries: A Panel Data Estimation

Cited by 7 publications

References 10 publications

Exchange Rate and Current Account Balance: Evidence from ASEAN-5 Countries

Exchange Rate and Current Account Balance: Evidence from ASEAN-5 Countries

The Happiness-Economic Well-Being Nexus: New Insights From Global Panel Data

Relationship between financial indicators in the Slovak engineering industry: A panel regression approach

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