This paper analyzes the macroprudential policy by the central bank to maintain the financial system stability. Using panel data of the government banks, foreign, private, joint venture, and regional development banks during 2004- 2012, we employ Vector Autoregressive Exogenous (VARX) and event analysis method and find that the level of exchange rate volatility decrease after the implementation of the one month holding period, six-month holding period and net open position policies. However, for the nominal exchange rate, these policies are not effective. In aggregate the reserve requirement plus loan to deposit ratio policy is effective to raise the bank credit allocation. Furthermore, the impact of the primary reserve policy is very limited to lower the liquidity of the economy; while at the same time the flow of foreign capital comes into very heavy
This research is aimed at analysing the cyclicality of banking financial stability, the impact of bank ownership status, bank size group and macroprudential policies on banking financial stability (Z‐score) of ASEAN‐5 countries. The study implements generalised method of moments system estimator and bank‐level data (2011:Q1–2017:Q1). The result indicates that the banking financial stability shows countercyclical behaviour. While government ownership does not affect financial stability, it tends to increase credit risk. Large and small bank group do not have significant different risk‐taking behaviour. Loan‐to‐Value ratio does not affect financial stability but significantly mitigates credit risk. An increase in reserve requirement lowers financial stability.
The development of new trade theory which incorporates the interaction between trade and international capital flows indicates if the possibility of changes in a country's comparative advantage due to the opening of international capital flows. International capital flows allow for changes in the industrial structure of a country depends on the composition of the products produced in that country. More capital-intensive types of products produced by a country, the greater the need for capital and the higher marginal rate of capital that can be given to attract greater international capital flows. Therefore, a comparative advantage should be seen as dynamic rather than static. As a country with large population, Indonesia tends to specialize in labor-intensive products. The other hand, efforts to attract foreign direct investment are very intensively conducted. The estimation results indicate if there was a shift in the pattern of industrial specialization Indonesia, from labor-intensive tends toward capital intensive. Keywords: neoclassical models, capital movements, business, comparative advantage JEL Classification: F11, F21, F23, L60 Intensitas Modal Industri dan Dinamisme Keunggulan Komparatif Produk Ekspor Indonesia AbstrakPerkembangan dalam teori perdagangan internasional baru yang menunjukkan adanya interaksi antara perdagangan barang dengan aliran modal internasional mengindikasikan adanya kemungkinan perubahan keunggulan komparatif sebuah negara. Adanya aliran modal internasional memungkinkan terjadinya perubahan dalam struktur industri sebuah negara yang tergantung pada komposisi produk yang dihasilkan di negara tersebut. Jika sebuah negara semakin memiliki struktur industri yang bersifat padat modal, maka semakin besar kebutuhan akan modal dan semakin tinggi marginal rate of capital yang bisa diberikan untuk menarik semakin besar modal internasional untuk mengalir masuk. Karena itu, sifat keunggulan komparatif suatu negara seharusnya lebih bersifat dinamis, dibandingkan dengan statis. Sebagai sebuah negara yang memiliki populasi besar, Indonesia akan cenderung berspesalisasi dalam produk-produk yang bersifat padat karya. Di sisi lain, upaya untuk menarik aliran modal internasional semakin gencar dilakukan. Hasil estimasi mengindikasikan jika telah terjadi perubahan pola spesialisasi industri di Indonesia, dari yang awalnya bersifat padat tenaga kerja menjadi cenderung ke arah padat modal.
This paper analyzes whether East Asian countries (Singapore) specialize on product groups with high comparative advantage. We use the data on the 3-digit SITC Revision 2 for 237 product groups published by the UN-COMTRADE. Firstly, we calculate the Revealed Symmetric Comparative Advantage (RSCA) index to know the product groups with high comparative advantage from each the East Asian countries. Secondly, we calculate the export share to know the trade specialization of product groups from each the East Asian countries. Thirdly, we compare between the product groups included in top-twenty SITC of comparative advantage with top-twenty SITC of trade specialization from each the East Asian countries. This paper concludes that throughout the study periods of 1995, 2005, and 2015, East Asian countries (Indonesia, China, Japan, Hong Kong, South Korea, and Singapore) specialize on product groups with low comparative advantage. It was also found that product classification dominating the comparative advantage and trade specialization of East Asian countries was the technology intensive products classification. JEL classification: F10, F14, F17
Heckscher-Ohlin-Mundell framework suggests that if a country has unexpectedly increased the permanent labour force, there will be a change in the production structure. Increases in the relative proportion of labour-intensive product demand occur and, hence, decrease the need for investment relative to domestic saving, and encourage the current account surplus. This paper tries to fill the empirical studies gap on the effects of the labour force, especially its utilization in the data panel of ASEAN + 6 countries using the generalized method of moments (GMM) used to capture the unobserved heterogeneity and endogeneity across countries that often arise in a panel data model. The estimation result shows that the labour force has an asymmetric shock and it only affects the country of origin, even when the financial institution deepening as a control variable is included. The analysis also indicates that labour regulations in these countries tend to be rigid because the speed with which the current account adjusts is relatively slow.
Entering the millennial era, technology has taken a big role in most sectors of life, including the currency as a product that can only be issued by the central bank. This paper examines the significant effect of central bank digital currency (CBDC) on the design of central bank monetary policy. The paper then sets out some benchmark central bank digital currency (CBDC) in several countries. Many central banks are actively exploring the initiation of sovereign digital currencies. Primary results this study is CBDC providing new monetary instruments, CBDC can improve financial inclusion, and CBDC is potential improvements in monetary policy transmission.
This study aimed to fill the literature gap on companies’ characteristics, focusing on the effects of entrepreneurs and business characteristics on the companies’ income. The companies chosen are the ones in the leading subsector, particularly the case in Java. This study also analyzed which characteristics of entrepreneurs and businesses affected income in the creative industry. The method used in this study was multiple linear regression and standardized beta test, with cross-sectional data taken from the specific survey in creative economy issued by BPS and BEKRAF in 2016. The unit of analysis comprises 822 companies in the leading subsector of the creative industry in Java. The results showed that all of the characteristics of entrepreneurs and businesses had significant and positive effects on the company’s income. The factors that affected company income are Intellectual Property Rights (IPR) ownerships and the business’s legal status. The primary factor affecting the income was the number of workers. Meanwhile, for each provincial level in Java, it showed that the number of workers, internet use, and the ownerships of IPR had significant and positive effects, while the IPR ownerships had a substantial magnitude in four provincial levels in Java.
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