scholarly journals Peran Perkembangan Sektor Keuangan Terhadap Industrialisasi di Indonesia

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Hari Setia Putra ◽  
Shagi Ratu Sa`bani ◽  
Syifa Ananda ◽  
Ullya Vidriza

Tujuan penelitian adalah untuk mengetahui dampak pembangunan sektor keuangan terhadap industrialisasi di Indonesia selama periode 1990 sampai 2019 dengan menggunakan data deret waktu. Data yang digunakan adalah rasio jumlah uang beredar terhadap PDB, rasio kredit domestik sektor swasta terhadap PDB dan interest spread rate. Hasil uji kausalitas granger pairwise dalam tahapan analisis VECM membuktikan bahwa terdapat hubungan satu arah antara rasio kredit domestik sektor swasta dengan rasio jumlah uang beredar dan rasio jumlah uang beredar dengan interest spread rate. Sedangkan variabel interest spread rate dan rasio kredit domestik sektor swasta memiliki hubungan dua arah. Hasil impulse response menunjukkan bahwa variabel rasio industry value added paling merespon guncangan variabel interest spread rate dibandingkan variabel-variabel lainnya. Hasil variance decomposition menunjukkan bahwa kontribusi yang diberikan variabel interest spread rate terhadap rasio industry value added relatif paling besar dibandingkan dengan kontribusi yang diberikan variabel rasio jumlah uang beredar dan rasio kredit domestic sektor swasta,

2021 ◽  
Vol 8 (1) ◽  
pp. 13-24
Author(s):  
Martinianus Tshimologo Tibinyane ◽  
Teresia Kaulihowa

This paper analyses the effect of the prime interest rate as a monetary policy instrument to stimulate economic growth in Namibia, a small open economy that is constrained by currency board operations. A Vector Autoregressive Model (VAR) was used for the period 1980–2019. The result shows that Namibia’s prime interest rate has no significant effect on economic growth. This finding remains robust and consistent when impulse response function and variance decomposition are employed. The impulse response function indicates a shock on the prime interest rate exhibits an inverse relationship. However, this effect is insignificant in both short and long-run scenarios. The variance decomposition indicates that the prime interest rate has a strongly exogenous impact, implying it has a weak influence on GDP growth. Policy implication indicates that small open economies under currency board operations need to identify different policy responses to circumvent external shocks and addresses their development needs.


The empirical analysis of this chapter provides insights into the functioning of the economies of three selected countries. Later in the chapter, the dynamic responses of the model to shocks in indicators of financial development are investigated. To obtain credible impulse response analysis, economic theory is used to set the required identifying restrictions instead of using an “unrestricted” vector autoregressive model. The structural form of the model then is summarised in the chapter by the variance decomposition and impulse response functions. The general results from impulse response functions advocate the theory of financial intermediation arguing that the development of the financial market helps to promote economic growth. Furthermore, the results of variance decomposition shows that different measures of financial development influence the variation of growth variables, particularly investment, savings, and productivity growth.


2017 ◽  
Vol 18 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Alton Best ◽  
Brian M. Francis ◽  
C. Justin Robinson

The paper empirically examines the question of whether bank liquid reserves to bank assets ratio and domestic credit to private sector as a percentage of GDP strengthens financial deepening on the real sector and hence catalyzes economic growth in Jamaica. A Granger causality approach is employed within a multivariate framework. Cointegration is used to examine the short- and long-run relationships within the model. Innovative accounting techniques (impulse response function and variance decomposition) are also utilized to determine the out-of-sample relation between financial deepening and economic growth. The empirical analysis is conducted with annual data from 1980 to 2014 with three proxies for financial deepening. The empirical evidence suggests a ‘supplying-leading’ relationship in both the short and long run. These results are confirmed by the innovation accounting techniques (impulse response function and the variance decomposition). Our findings imply that Jamaica should first concentrate on developing its financial sectors which has the potential to spur higher levels of economic growth in the real sectors of the economy.


2016 ◽  
Vol 13 (06) ◽  
pp. 1750004 ◽  
Author(s):  
Rohit S. Kannattukunnel

Engineers and designers from automotive and aerospace sectors have been using 3D printing (3DP) for decades to build prototypes. However, 3DP became popular only recently. This paper is divided into three sections. Section 1 is introductory in nature, which deals with current trends, the modeling process of printing and deliberation on different categories of 3DP. Section 2 deals with the research methodology. An exquisite technique to study innovation dealing with time series data, called the vector autoregression (VAR), is performed to analyze the world patent data on 3DP, based on the information provided by the Government of UK and the International Monetary Fund (IMF). Section 3 attempts to forecast future trends on 3DP by using two techniques viz. impulse response function and variance decomposition. The VAR analysis performed revealed that GDP is not directly instrumental in the advancement in patenting of 3DP technology. Results captured by way of impulse response function suggest that when a shock is given to PR itself, it decreases sharply, whereas when a shock is given to investment, PR undergoes a steady decline. Thus, if there is any adverse shock imparted on investments, it directly reduces the patent ratio. Lastly, when an impulse is given to GDP, PR continuously increases, which implies that increase in GDP causes hike in investment which ultimately increases PR. The results of variance decomposition indicate that in the initial periods, PR itself explains the maximum variance, followed by the GDP and to the least by investment. The changes observed with the trend of explanatory character of variance imply that more investments in technology are instrumental in increasing patent ratio in the G7 countries as per the vector error correction (VEC) model developed here. Though during the nascent stage of emerging technologies investment in technology may not necessarily increase the patent ratio, the result obtained brings to light interesting insights.


2020 ◽  
Vol 2 (1) ◽  
pp. 11-28
Author(s):  
Fadhila Achmadi Rosyid

Sektor pertambangan salah satunya dicirikan sebagai kegiatan yang padat modal. Biaya modal atau investasi dikeluarkan oleh pemilik Ijin Usaha Pertambangan mulai dari tahap penyelidikan umum sampai dengan beroperasinya kegiatan penambangan. Aktivitas investasi secara umum akan berdampak kepada masyarakat sekitar ataupun daerah karena meningkatkan kegiatan ekonomi dan kesempatan kerja, meningkatkan pendapatan nasional, dan meningkatkan taraf kemakmuran masyarakat. Dalam hal investasi di bidang pertambangan, penelitian ini akan mengevaluasi pengaruh investasi sektor pertambangan logam terhadap perekonominan di Provinsi Papua. Analisis dilakukan dengan metode Vector Autoregression (VAR) dengan memperhatikan Impulse Response Function (IRF) dan Variance Decomposition (VD) terhadap variabel-variabel sebagai berikut; investasi, pertumbuhan PDRB umum provinsi Papua, PDRB sektor pertambangan, PDRB sektor pertanian, PDRB sektor konstruksi, serta tenaga kerja pada sektor tersebut. Hasilnya menunjukkan investasi sektor pertambangan logam memberikan dampak yang positif terhadap PDRB total Provinsi Papua, PDRB sektor pertambangan dan pertanian, serta nilai tambah dalam hal tenaga kerja di sektor pertambangan. Respon negatif diberikan oleh PDRB sektor konstruksi karena peningkatan investasi dan PDRB sektor pertambangan. Sektor konstruksi diindikasi hanya memberikan dampak keterkaitan yang rendah kepada sektor yang lain dilihat dari kontribusi PDRB sektor tersebut terhadap pembentukan PDRB sektor pertanian yang rendah dan respon yang rendah dari PDRB sektor pertambangan.


2016 ◽  
Vol 4 (6) ◽  
pp. 183-210
Author(s):  
Nandeeswara Rao ◽  
TassewDufera Tolcha

Real exchange rate has direct effects on trade particularly on international trade and has indirect effects on productions and employments, so it is crucial to understand the factors which determine its variations. This study analyses the main determinants of the real exchange rate and the dynamic adjustment of the real exchange rate following shocks to those determinants using yearly Ethiopian time series data covering the period 1971 to 2010. It begins with a review of literatures on Exchange rate, real exchange rate, determinants of the real exchange rate and provides an updated background on the exchange rate system in Ethiopia. An empirical model linking the real exchange rate to its theoretical determinants is then specified. This study had employed the cointegration and vector autoregression (VAR) analysis with impulse response and variance decomposition analyses to provide robust long run effects and short run dynamic effects on the real exchange rate. Share of investment, foreign exchange reserve, capital inflow and government consumption of non-tradable goods were the variable that have been found to have a long run relationship with the real exchange rate. The estimate of the speed of adjustment coefficient found in this study indicates that about a third of the variation in the real exchange rate from its equilibrium level is corrected within a year. The regression result of VECM reveals that terms of trade, nominal exchange rate, and one period lag of capital flow were the variables significantly affects the real exchange rate in the short run. However, the impulse response and variance decomposition analysis shows a better picture of the short run dynamics. The their analysis provided evidence that the Shocks to terms of trade, nominal exchange rate, capital inflow and share of investment have persistent effects on the real exchange rate in the short run. In general the regression results of both long run and short run models mostly suggest that the fluctuations of real exchange rates are predominantly responses to monetary policies shocks rather than fiscal policy shocks.


2017 ◽  
Vol 1 (1) ◽  
pp. 15-33
Author(s):  
Ulul Albab Badru Zaman

Penelitian ini bertujuan untuk mengetahui Pengaruh Inflasi, Nilai Tukar Rupiah, Jumlah Uang Beredar dan Jakarta Islamic Index (JII) terhadap Nilai Aktiva Bersih Reksadana Syariah selama periode Januari 2012-Desember 2015. Data yang digunakan dalam penelitian ini adalah data bulanan dari masing-masing variabel. Metode analisis yang digunakan dalam penelitian ini adalah Vector Autoregressive (VAR) dengan menggunakan Microsoft Excel 2010 dan Eviews versi 9.0. Hasil penelitian ini menemukan bahwa: (1) Berdasarkan uji Kausalitas Granger, tidak ada variabel yang menunjukkan hubungan kausalitas dua arah dengan NAB Reksadana Syariah. Akan tetapi, hanya variabel Kurs yang masih menunjukkan hubungan kausalitas satu arah dengan NAB Reksadana Syariah. (2) Berdasarkan uji Impulse Response Function, NAB Reksadana Syariah menunjukkan respons yang tidak stabil terhadap guncangan pada variabel Nilai Tukar Rupiah, Jumlah Uang Beredar dan Jakarta Islamic Index (JII) Akan tetapi, guncangan pada masing-masing variabel cenderung direspons secara positif oleh variabel NAB Reksadana Syariah. (3) Berdasarkan uji Variance Decomposition, variabel yang memberikan pengaruh guncangan terbesar yaitu variabel NAB Reksadana Syariah itu sendiri diikuti dengan Jakarta Islamic Index (JII), Jumlah Uang Beredar, Nilai Tukar Rupiah dan Inflasi.


Author(s):  
Paolo Miranda

This paper studies the mechanisms that lead to the conclusion that one market leads another. The results of a model, based on Kyle (1985), suggest cross border trading and industry commonality as mechanisms. The data confirms the results obtained by the model showing that countries heavily engaged in cross border trading appear in variance decomposition / impulse response functions as leading other markets.


2021 ◽  
Vol 2020 (1) ◽  
pp. 146-151
Author(s):  
Adina Astasia ◽  
Surya Wagito ◽  
Fitri Bunga Adelia ◽  
You Ari Faeni

Pertambahan kasus covid-19 di Jakarta dan Jawa Timur menjunjukkan tren yang saling berkesinambungan. Mobilitas penduduk yang tinggi merupakan salah satu faktor yang mempengaruhi penyebaran penyakit di berbagai wilayah. Charu (2017) melakukan studi mengenai penyebaran penyakit influenza di Amerika Serikat selama 2002-2010 dengan hasil bahwa setiap epidemi dapat dikaitkan dengan peristiwa penularan jarak jauh yang akan memicu transmisi selanjutnya. Penelitian ini bertujuan untuk mengetahui efek dinamika pertambahan kasus covid-19 di Jakarta dan Jawa Timur. Variabel yang digunakan pada penelitian ini adalah data pertambahan kasus covid-19 di Jakarta dan Jawa Timur dari @kawalcovid-19. Metode Vector Autoregressive (VAR) dengan Impulse Response Function (IRF) dan Variance Decomposition (VDC) dipilih karena mampu menjelaskan respon yang terjadi di suatu wilayah terhadap shock di wilayah itu sendiri dan wilayah lain. Penelitian ini membuktikan adanya pengaruh positif dan signifikan pertambahan kasus covid-19 di Jakarta terhadap pertambahan kasus covid-19 di Jawa Timur.


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