Indonesia is a developing country with a high demand for capital from both domestic and international sources. However, international capital flows are needed the most. For non-Western countries, especially Indonesia, capital flight is an unfavourable financial problem. This research aims to summarise capital flight from Indonesia and analyse the impact of macroeconomic and non-macroeconomic determinants through capital flight. Macroeconomic determinants include budget deficits, economic growth, inflation rates, and exchange rates. Nonmacroeconomic determinants are the degree of trade openness, interest rate differences, and dummy ratings. The data comes from the Bank of Indonesia, OECD, Moody's, and BPS-Statistics Indonesia. The coverage of this research is the Indonesian quarter from 2010 to 2018. This period complies with the latest procedures of the sixth edition of the Balance of Payments Manual (BPM 6). In this research, the measurement of the capital flight is the World Bank's residual method, trade misinvoicing method, and combined method. This research finds that, compared with other economics, non-macroeconomics is the most influential determinant of capital flight from Indonesia.
Purpose: This study aims to analyze the effect of macroeconomic and non-macroeconomic determinants of capital flight. Research design, data and methodology: With five determinants, this survey was conducted by Eviews 10, and the ordinary least squares (OLS) as a statistical method was applied for examining the research hypothesis. The five determinants are a budget deficit, economic growth, inflation rate, the exchange rate, and sovereign rating. The capital flight measurement uses the World Bank residual approach. The data derive from the Central Bank of Indonesia, BPS-Statistics Indonesia, OECD, and Moody"s Investor Service. Results: The result considers that economic growth, the exchange rate, and the sovereign rating will decrease capital flight. In addition, the budget deficit and the inflation rate will increase capital flight. The sovereign rating decreases capital flight bigger than the other determinants. In addition, the exchange rate is statistically significant. Conclusions: The most influential problem of capital flight in Indonesia is because of non-macroeconomics factor political issue, corruption, bad regulation, and others. That"s why the investment climate in Indonesia is still not secure. We propose that the regime would have to amend the business rule for reducing capital, raising the investment climate, and demonstrating the creative industry.
Tourism is an important sector in supporting national development programs as the largest foreign exchange contributor. But in reality it has a relatively small contribution to GDP. To improve the economy effectively and efficiently, knowledge of provinces that have potential tourism is needed. Based on the results of LQ analysis and 2014 and 2015 quadrant analysis, potential provinces are the provinces of Bali, DKI Jakarta, East Java and DI Yogyakarta. In addition, based on the results of DLQ's analysis, the potential provinces in developing the tourism sector in the future are Aceh, Riau, Jambi, Papua, Bengkulu, South Kalimantan, Lampung, North Sumatra, and East Java. Overall, the tourism sector in East Java Province is a base sector in 2014 and 2015 and remains a base sector in the future.
Employment is the best way to get out of poverty. One effort to reduce poverty levels is utilization of the workforce at productive age. Uniquely, this condition doesn’t work for Bengkulu Province. Poverty is still being serious problem and unfortunately labor force participation rate is high. This case made big question, what cause of disobedience for Bengkulu Province, so it’s interesting to do analysis. The analysis used primary data from Susenas (National Sosioeconomic Survey) and used descriptive analysis method, which independent variable are locational (rural/urban), sex, last education, employment status, and employment opportunities. The result showed that employment opportunities indicates the existence of influence to poverty.
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