Purpose This paper aims to investigate the relation between the cultural dimensions of Hofstede and corruption in developing countries. Design/methodology/approach This study uses a quantitative research approach with multiple regression analysis and quantile regression (QR) analysis. Findings The results showed that all cultural dimensions except power distance index (PDI) influence the level of corruption in developing countries. This study also found something interesting from the significance of the cultural dimensions of individualism and uncertainty avoidance (UAI) in the regression model. The community of developing countries tends to be collective which means that the level of corruption in the country is getting higher. The cultural dimension of UAI in developing countries is also interesting to study because of the positive relation with the Corruption Personal Index value which means it tends to be freer from corruption. Research limitations/implications This research is limited to the number of samples and the scope of the Hofstede’s cultural dimensions which are limited in developing countries. Practical implications The results of this research can add empirical evidence related to cultural variables and corruption, especially in developing countries. Social implications This research is expected to be a reference on cultural aspect and corruption in developing countries to be studied more deeply to investigate the causes of corruption in developing countries. Originality/value This is a preliminary study using cultural dimension and corruption in developing countries with quantile regression (QR) as an analysis tool and can add empirical evidence about the cultural dimensions and corruption.

This study examines the demand for money for both M2 and M1 in Indonesia using the autoregressive distributed lag (ARDL) approach. Based on the results of the bound test, the demand for money in Indonesia is co-integrated, and there is a longterm relationship with factors its determinant namely, income, inflation, domestic interest rates, foreign interest rates and exchange rates. Income, inflation and exchange rate variables have a positive effect on M2 and M1 in the short and long term, while the interest rate variable only affects M2. The stability test using the CUSUM and CUSUMQ approaches found that the demand for money in Indonesia is unstable. The instability in demand for money implies that the money targeting policy in Indonesia cannot be implemented.

Islamic banking is emerging as a breakthrough and an alternative to conventional banking. The shariah-compliant financial services industry is currently at a growing stage compared to the advanced conventional financial services industry. The presence of the Shariah People Financing Bank also contributed to the economy as a credit channeling institution and it is expected that the wheels of the economy will spin faster and give a positive effect to the national economy. This study aims to analyze the influence of internal and external factors on the performance of Sharia Bank Financing in Indonesia Year 2011-2016. The analytical tool used in this research is the Error Corretion Model (ECM) which assumes the existence of a long-run equilibrium relationship between two or more economic variables, however in the short term that occurs is disequilibrium. With the error correction mechanism, a proportion of disequilibrium in a period is corrected in the next period. The results of this study indicate in the short term, internal factors represented by CAR and BOPO, and external factors are represented Exchange Rate and Inflation does not affect the Return On Asset Bank Syariah Rakyat Rakyat. In the long run CAR, BOPO and Kurs have a significant effect, while inflation does not significantly affect Return On Asset of Rural Bank of Sharia Liabilities.

This study aims to test the ELG hypothesis in Indonesia after the implementation of trade liberalization and analyze the relevance of policies that can be taken by the government. The data used in this study is time series data from 1970-2020. The analysis method of this research uses the Autoregressive Distributed Lag (ARDL) model by applying three models. Model 1 shows that in the short term the ELG hypothesis is proven valid but in the long term the ELG hypothesis is invalid in Indonesia. This is reinforced in model 2 in both of short and long term that real GDP is insignificant to real exports. In the long term, model 2 shows that real exports have a positive effect on FDI and vice versa in model 3 that real GDP has no effect on FDI. The implementation of the results illustrates to policy makers that strong economic growth can attract export capabilities in Indonesia, but policies that are based on economic growth have vulnerabilities to global dynamics that can affect export activities and the investment climate in Indonesia, so export market diversification policies need to be implemented to be able to reach a wider market. From the investment side, it is necessary to carry out structural reforms (such as policies, financial systems, and infrastructure development) so that there is certainty for foreign investors to invest in Indonesia.

The 2008 financial crisis demonstrates that studies on property price volatility are important because it impacts domestic economic conditions. This study identifies the volatility of property prices through monetary variables. This current study employs the ARDL method to determine the effect of monetary variables in the short and long term. The study results show that GDP as a proxy for income negatively affects residential property prices in Indonesia, and inflation positively affects property prices. There is a difference in the effect of domestic interest rates on property prices where there is a direct effect on domestic interest rates followed by the COVID-19 crisis. Meanwhile, foreign interest rates have a negative effect in the short term and a positive effect in the long term. This study implies that strong monetary operation through interest rates can maintain public expectations of prices, especially property prices.