JURNAL EKONOMI DAN KEBIJAKAN PEMBANGUNAN
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FAKTOR-FAKTOR YANG MEMENGARUHI KEBERHASILAN REDENOMINASI
Full text linkRedenomination is a simplification of the nominal value of the currency by reducing digits (zeros) without reducing the real value of the currency. The research was done because of the theoretical and empirical results are still a debate about the impact of redenomination policy on the economic perspective. This is due to the redenomination policy in each country has a different effect depending on economic conditions when redenomination is applied. The purpose of this study was to analyze the factors that influence the success of the redenomination of a country. Data used in the form of secondary data, historical data of 32 countries that have conducted redenomination. The analysis used is multiple regression. The results showed the better the condition of economic growth when redenomination is applied, it will lower inflation one year after the redenomination. Keywords: Economic growth, Inflation, Redenomination, Regressio
Tingkat Kemiskinan Di Pulau Papua Tahun 20011-2017
Full text linkPengentasan kemiskinan adalah salah satu tujuan pembangunan ekonomi. Selama tahun 2011 hingga 2017, Provinsi Papua dan Papua Barat yang terletak di Pulau Papua memiliki tingkat kemiskinan tertinggi pertama dan kedua di Indonesia. Studi ini menganalisis faktor-faktor yang memengaruhi kemiskinan di Pulau Papua selama tahun 2011 hingga 2017 menggunakan regresi data panel. Hasil yang diperoleh menunjukkan bahwa variabel-variabel PDRB per kapita sektor Pertambangan dan Penggalian, PDRB per kapita sektor Konstruksi, dan pendidikan berpengaruh signifikan terhadap penurunan tingkat kemiskinan.
Poverty alleviation is one of the goals of economic development. During 2011 to 2017, both Papua and West Papua Provinces where located in Papua Island had the first and second highest poverty rate in Indonesia. This study analyzed the factors that influenced poverty rate in Papua Island during 2011 to 2017 used the panel regression model. The results of the study showed GRDP per capita of the Mining and Quarrying sector, GRDP per capita of the Construction sector, and education had a significant effect on reducing poverty
Identification of Premature Deindustrialization and Its Acceleration in Indonesia (Period 1986-2015)
Full text linkThe increase of the manufacturing\u27s share in GDP has reached its peak in the early 2000s while the growth rate of the manufacturing employment is relatively low. Both facts demonstrate that the process of industrialization has slowed down and an indication of deindustrialization in Indonesia. Deindustrialization that occurs in the countries with low GDP per capita is called premature deindustrialization. This study measures the rate of deindustrialization and identification of premature deindustrialization on period 1986- 2015. The result shows that the speed of deindustrialization varies between indicators and between islands. Descriptive analysis showed indication of premature deindustrialization in Indonesia. Keywords: Deindustrialization, Premature deindustrialization, Manufacturing, Indonesia JEL classification: L16, L50, L52, L60, O14, O2
Determinan Aliran Masuk Foreign Direct Investment ke Negara-Negara Berpendapatan Rendah
Full text linkCapital is an important factor that drives economic growth and development. Foreign direct investment (FDI) is one of the best forms of capital in the financing and investment of industrial projects. Therefore, it is important to identify the factors that influence FDI and determine the influence of each factor to make the appropriate policy in this field. This study analyzes the determinants of FDI in low income countries. The analysis is based on a sample of 10 low-income countries. Using panel data model, three approaches are used, namely common effects, random effects, and fixed effects models, to identify factors affecting FDI in these countries. The results show the factors that significantly influence FDI inflows to low income countries are GDP (market size), inflation, labor productivity, infrastructure, trade openness, and political stability. Meanwhile, the quality of policies and regulations has no significant effect.Modal merupakan faktor penting yang mendorong pertumbuhan ekonomi dan pembangunan. Investasi asing langsung (foreign direct investment – FDI) adalah salah satu bentuk modal terbaik dalam pembiayaan dan investasi proyek industri. Oleh karena itu, adalah hal yang penting untuk mengidentifikasi faktor-faktor yang memengaruhi FDI dan untuk menentukan tingkat pengaruh masing-masing untuk membuat kebijakan yang tepat di bidang ini. Penelitian ini menganalisis faktor-faktor penentu FDI di negara dengan pendapatan per kapita rendah. Analisis didasarkan pada sampel dari 10 negara berpendapatan rendah. Dengan menggunakan model data panel, digunakan tiga pendekatan, yaitu common model, random effects dan fixed effects model, untuk mengidentifikasi faktor-faktor yang memengaruhi FDI di negara-negara ini. Hasil penelitian menunjukkan faktor-faktor yang berpengaruh secara signifikan terhadap aliran masuk FDI ke negara-negara dengan tingkat pendapatan rendah adalah PDB (ukuran pasar), inflasi, produktivitas tenaga kerja, infrastruktur, keterbukaan perdagangan, dan stabilitas politik. Sementara kualitas kebijakan dan peraturan tidak berpengaruh secara signifikan
EFISIENSI TEKNIS, PERTUMBUHAN TEKNOLOGI DAN TOTAL FAKTOR PRODUKTIVITAS PADA INDUSTRI MENENGAH DAN BESAR DI INDONESIA
Full text linkIndonesia\u27s economic growth this decade has good development. Not only growing but also more stable than before the reform era which is visible from the persistence of Indonesia at the level of positive growth during the economic crisis of 2008. Growth was good was followed by a change in the proportion of manufacturing industry in Indonesia which, if seen followed by a decrease in the production of some subsector indices industry. Total factor productivity (TFP) is one measure to look at other factors apart from the impact on production inputs such as technical efficiency and technological growth. In this study, in addition to trying to calculate TFP in some manufacturing industries subsector, in this study also wants to see the value of technical efficiency and the growth of the technology is a component of TFP calculations by the method of Stochastic Frontier Analysis (SFA). The results show that there is growing value of technical efficiency in some industries and most industries experienced relatively low growth of the technology. In the era before and after the crisis most of the industry has increased TFP growth but some industry decreased TFP growth. Keywords: SFA, Technical efficiency, Technological growth, TF
ANALISIS PEMBIAYAAN DAN KREDIT SEKTOR KONSTRUKSI DI INDONESIA: STUDI PERBANKAN SYARIAH DAN KONVENSIONAL
Full text linkThe construction sector is an important sector in supporting development projects in Indonesia. The development of the construction sector requires the role of the banking sector to provide access of capital through credit or financing. This study aims to analyze the factors affecting construction financing and credit in Islamic and Conventional Banking in Indonesia and among regions in Indonesia. This study uses Vector Autoregression/ Vector Error Correction Model (VAR/VECM) with monthly data from 2006 until 2014 and panel data analysis with yearly data from 2009 until 2013. The study results that the factors affecting financing and credit on Construction Sector in Indonesia are Third Party Funds (DPK), Wholesale price index, fee of SBIS (interest rate of SBI), percentage of Non Performing Financing (Non Performing Loan), Consumer Price Index and equivalent rate of financing (Interest rate of Credit). Furthermore, the factors affecting financing and credit on Construction Sector among regions in Indonesia are Third Party Funds, Gross Domestic Regional Product of Construction Sector, Gross Domestic Regional Product per Capita and percentage of Non Performing Financing (Non Perfoming Loan). Keywords: Construction, Credit, Financing, Panel data, VAR/VEC
PERAN BELANJA MODAL PEMERINTAH DAN INVESTASI PEMBANGUNAN MANUSIA DALAM MENGURANGI TINGKAT KEMISKINAN DI INDONESIA
Full text linkPoverty is a measure of socio-economic conditions in assessing the success of development undertaken by a government in a region. There are many negative impacts resulted from poverty, among others, social and economic problems. People who live in poverty usually suffer from malnutrition, poor health, high illiteracy rates, are in poor environment and in lack of access to infrastructure and adequate public services. The purpose of this study was to analyze the impact of human development and government capital expenditure on reducing poverty in Indonesia. The model was estimated by using 2SLS method. Several simulations was also conducted to look at the impact of the allocations of government expenditure on health, education and government capital expenditure on reducing poverty. The results showed that government capital expenditure and human development have significant impacts on reducing poverty in Indonesia with government expenditure on education gives the greatest impact. Keywords: Capital, Expenditure, Government, Human Development, Povert
ANALISIS DAYA SAING DAN FAKTOR-FAKTOR YANG MEMENGARUHI EKSPOR BAN INDONESIA KE KAWASAN AMERIKA LATIN
Full text linkThe tire industry is an industry that has potential to increase Indonesian exports to non-traditional markets such as Latin America. The purpose of the study is to analyze the power of the comparative, competitive, and export dynamic of Indonesian tire and also the factors that affect the export of Indonesian tire to Latin America. The period of analysis used in this study is from 2009 to 2014 using the method of analysis are Revealed Comparative Advantage (RCA), Export Product Dynamic (EPD), Gravity models and Porter\u27s Diamond. The results of this study are rubber tire Indonesia has strong competitiveness in Latin America than in the country of Argentina. In addition, the rubber tire Indonesia has a good export dynamics position (rising star) in the country of Panama, Venezuela, Uruguay, Mexico, Guatemala, and Costa Rica. Factors that affect the export of Indonesian rubber tire to Latin America is the distance economies, Indonesia\u27s per capita real GDP, real GDP per capita of the destination country, the real exchange rate, and the population of the destination country.Keywords: Competitiveness, Gravity Model, Porter’s Diamond,Tir
KUALITAS BELANJA DAERAH DAN HUBUNGANNYA DENGAN KINERJA PEMBANGUNAN DI PROVINSI BANTEN
Full text linkThis study aims to analyze the relevant indicators of spending quality in measuring the quality of regional spending as well as the relationship between the quality of regional spending and the development performance of the regencies/cities of Banten Province. This study uses secondary data from the governance, financial and performance development of the districts/cities of Banten Province between 2009 – 2013. The Data are analyzed using Partial Least Squares Structural Equation Model (PLS–SEM) using SmartPLS software version 2.0 & SmartPLS version 3.0. The Results show that there are 21 indicators out of 40 indicators that are relevant in measuring the quality of the districts/cities spending in Banten Province. The change of the spending quality map from 2009 to 2013 shows that the quality of North Banten (Tangerang Regency, Tangerang City, Tangerang Selatan, Serang Regency, Serang City and Cilegon City) is better than South Banten (Pandeglang and Lebak). In addition, the estimation results from the model used indicate that the quality of the region spending of Banten Provinve has a positive relationship with the performance of development with the value of the indicator 0,678. Keywords : Development Performance, PLS-SEM, Spending Qualit
STRUCTURAL BREAKS DAN KETIDAKSTABILAN PERMINTAAN UANG DI INDONESIA
Full text linkThis research aims to identify the sources of instability of the money demand function (M1 and M2) due to structural changes that occur as a result of economic shocks. These shocks are technically shown by the presence of structural breaks in the data and can lead the parameters non-constancy. The instability of the money demand function was analyzed using the Gregory and Hansen test. The source of instability of the money demand was identified using time varying parameter model. This research used quarterly time series data from 1993Q1 to 2013Q4. The results show that the money demand function (M1 dan M2) is not cointegrated (unstable) and the source of the instability is exchange rate variable. Keywords: Stability money demand, Structural breaks, Time varying parameter mode