scholarly journals The Effects of Physical Infrastructure Development in Supporting Economic Growth in North Sumatra Province

2020 ◽  
Vol 3 (2) ◽  
pp. 177-183
Author(s):  
Indah Permata Sari

The development of infrastructure in an area is a very important activity in the context of increasing economic growth. The development of infrastructure such as road, electricity and airport are also the activities that can encourage economic growth. This research was aimed to explain the effect of the construction of road, electricity and airport infrastructure on the economic growth of North Sumatra. This research was conducted by using quantitative research. The data of this study were sourced from BPS North Sumatra and Statistics Main Book starting from 2010-2018. The data was used the time series data with the process of data by using eviews 6. The results of this research indicated a positive influence between the development of physical infrastructure such as roads, electricity and airports on the economic growth of North Sumatra.

2021 ◽  
Vol 8 (4) ◽  
pp. 610-627
Author(s):  
Daniel Francois Meyer

nvestors assess the environment and the level of risk before they invest in a specific region or country. Several country risk indexes have been developed since the beginning of the 1990s, using risk factors such as politics, the economy and sovereign risk factors. This study aims to determine the relationships between the country risk index, economic performance and good governance. The study implemented a quantitative research methodology with panel data, focusing on the four Visegrad countries, using time-series data from 1996 to 2019. The results indicate both long- and short-run relationships. Both GDP and good governance significantly impact the country risk index with coefficients of between 0.17 to 0.31 and 0.02 to 0.15 according to different estimation models. The Granger causality results indicated that both GDP and good governance cause changes in the country risk indexes of the countries, and good governance causes increased economic performance. In conclusion, the study showed clear evidence that a lower country risk index is important to attract investment and sustained economic growth and good governance is critical in this process.          


2020 ◽  
Vol 7 (1) ◽  
pp. 585-594
Author(s):  
Muammar Rinaldi ◽  
Zainal Arifin ◽  
Indra Maipita ◽  
Saidun Hutasuhut

This study aims to analyze the effect of capital expenditure and economic growth simultaneously on the Human Development Index (HDI) in districts/cities in North Sumatra. This type of research is a descriptive-quantitative approach that suppresses its analysis of numerical data that is processed by the statistical method. Sources of data in this study were taken from the Central Bureau of Statistics of North Sumatra for the HDI data. The sample in this study is all districts/cities in North Sumatra for the period 2013-2017. The data analysis technique used in this study uses panel data regression with Eviews 7 because, in this study, there are characteristics of cross-section and time-series data simultaneously. The results of this study indicate that capital expenditure partially has a positive and significant effect on the Human Development Index in districts/cities in North Sumatra. Economic growth partially has a positive and significant effect on the HDI in districts/cities in North Sumatra, and capital expenditure and economic growth have a positive and significant effect simultaneously on the Human Development Index in districts/cities in North Sumatra.


2018 ◽  
Vol 14 (1) ◽  
pp. 32-47
Author(s):  
Khairur dan Telisa Aulia Falian Raziqiin ◽  
Telisa Aulia Falian

Local government-owned banks (BPD), was established in order to help accelerate the development of the area where the BPD located. The expected goals of this study are: To measure the effect of the placement of funds by BPD on regional economic growth, to measure investment lending by BPD to regional economic growth. Population was all the existing Regional Development Bank in Indonesia. Based on data from Bank Indonesia, the number of regional development banks perDesember 2013 as many as 26 banks. The type of data that will be used in this research is time series data (time series) from January 2009 until December 2013 The model that will be used in this research is the use of panel data. Results of research on Analysis of Impact of Ownership of Securities by BPD Against Regional Development, government capital spending, credit productive, ownership of securities by BPD positive effect on GDP, and significantly affect GDP, labor force have a positive influence on the GDP, but the effect was not significant workforce to GDP.Badan Pusat Statistik. Berbagai tahun. Data Realisasi APBD. Badan PusatStatistik, Jakarta. Bank Indonesia. Berbagai tahun. Laporan Publikasi Bank Umum. Bank Indonesia,Jakarta. Budiono. (2001). Ekonomi Moneter Edisi 3. Yogyakarta : BPFE Djojosubroto, Dono Iskandar. (2004). Koordinasi Kebijakan Fiskal dan Moneter di Indonesia Pasca Undang – undang Bank Indonesia 1999. Jakarta : Kompas Dornbusch, Rudiger, Stanley Fischer, Richard Startz. (2004). Makroekonomi. (Yusuf Wibisono, Roy Indra Mirazudin, terjemahan). Jakarta :MediaGlobal Edukasi. Gujarati, Damodar. (1997). Ekonometrika Dasar. (Sumarno Zein, terjemahan).Jakarta : Erlangga. Gultom, Lukdir. (2013). Tantangan Meningkatkan Efisiensi dan Efektifitas BPD sebagai Regional Champion Dalam Pengembangan Usaha Mikro, Kecil dan Menengah di Indonesia, Makalah SESPIBI Angkatan XXXI (Tidak Dipublikasikan). Bank Indonesia. Husnan, Suad. (2003). Dasar – dasar Teori Portofolio dan Analisis Sekuritas.Yogyakarta : UPP AMP YKPN. Kasmir. (2002). Dasar – Dasar Perbankan. Jakarta : PT. Raja Grafindo Persada. Kuncoro, Mudrajad. (2001) Metode Kuantitatif : Teori dan Aplikasi untuk Bisnis dan Ekonomi. Yogyakarta : AMP YKPN. Latumaerissa dan Julius R. (1999). Mengenal Aspek-aspek Operasi Bank Umum. Jakarta : Bumi Aksara. Lipsey, Richard G, et al. (1997). Pengantar Makro Ekonomi. ( Jaka Wasana danKibrandoko, terjemahan). Jakarta :Binarupa Aksara. Mankiw, Gregory. (2000). Macroeconomics Theory. New York : Worth PublisherInc. Nachrowi, Nachrowi D., Hardius Usman. (2006). Pendekatan Populer dan Praktis EKONOMETRIKA untuk Analisis Ekonomi dan Keuangan.Jakarta : Lembaga Penerbit FEUI. Rahmany, A. Fuad. (2004). Era Baru Kebijakan Fiskal : Pemikiran, Konsep dan Implementasi. Jakarta : Penerbit Buku Kompas, hal. 445 – 462. Rivai, Veithzal, Andria Permata Veithzal, Ferry N. Idroes. (2007). Bank and Financial Institution Management : Conventional & Sharia System, Jakarta : RajaGrafindo Persada. Sunarsip. (2008). Relasi Bank Pembangunan Daerah dan Perekonomian Daerah, dimuat dalam Republika, Rabu, 9 Januari 2008. Rubrik Pareto hal.16 Sunarsip. (2011). Transformasi BPD. Dimuat Infobank Edisi Januari 2011. Republik Indonesia, Kementrian Keuangan (2010), Potensi Bank Pembangunan Daerah Sebagai Pendiri Dana Pensiun Lembaga Keuangan,Tim Studi Potensi Bank Pembangunan Daerah Sebagai Pendiri Dana Pensiun. Jakarta.Waluyanto, Rahmat. (2004). Era Baru Kebijakan Fiskal : Pemikiran, Konsep dan Implementasi. Jakarta : Penerbit Buku Kompas, hal. 463 – 508. Wuryandari, Gantiah. (2013). Mengusung Bank Pembangunan Daerah (BPD) Sebagai Bank Fokus Sektor Strategis Dalam Mendukung Pembangunan Nasional, Makalah SESPIBI Angkatan XXXI (Tidak Dipublikasikan). Bank Indonesia.


2018 ◽  
Vol 6 (2) ◽  
pp. 54
Author(s):  
Muhammad Nur Afiat

This study was conducted with the aim to determine the effect of Economic Growth Rate on Employment Opportunities in Southeast Sulawesi Province 2000-2015. This research is a type of Quantitative research using secondary data in the form of time series data, ie from 2000-2015. Data source was obtained from Central Bureau of Statistics (BPS) and Bank Indonesia of Southeast Sulawesi Province. This study also uses multiple linear regression analysis tools with ordinary least square method (OLS) and then processed with application Eviews 8.0. The results of the study show that Economic Growth has a significant influence on Employment Opportunities in Southeast Sulawesi Province 2000-2015.


Author(s):  
Asnawi Asnawi ◽  
Irfan Irfan ◽  
M. Fathul Chairi Ramadhani

The study aims to determine the effect of Foreign Investment (FDI) and Domestic Investment (PMDN) on Cross-Province Economic Growth in Indonesia in 2014-2018. This study uses secondary data with Panel and Poled data consisting of 34 provinces in Indonesia, and use the 5 years time-series data during 2014-2018. The analytical method used is the panel regression analysis method with the Fixed Effect model and poled model. The results showed that foreign investment and domestic investment had a positive and significant effect on economic growth across provinces in Indonesia. Furthermore, the results of the study show that foreign investment and domestic investment have a significant and positive effect on economic growth in 8 provinces in Indonesia, and the foreign investment has a significant and positive influence on economic growth in 9 Provinces in Indonesia. However, only North Maluku, where foreign investment has a significant and negative effect on economic growth, and domestic investment significantly and positively affects economic growth in 6 provinces in Indonesia.


2021 ◽  
Vol 4 (1) ◽  
pp. 8-14
Author(s):  
Dody Akbar ◽  
Sarce B. Awom ◽  
Siti Aisah Bauw

This study aims to determine the effect of education and health on economic growth in Teluk Bintuni Regency for the 2010-2018 period. This type of research is quantitative research. This research uses time series data and secondary data collection techniques. Analysis of the data using the Coefficient of Determination Test Heteroscedasticity Test f Test t test. The results of this study show (X1) Education and (X2) Health have a positive and significant effect on (Y) Economic Growth.


2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Muhammad Nasir

Deli Serdang area surrounds the capital of North Sumatra Medan, there are industrial concentration of industrial concentration in Sunggal sub-district, Tanjung Morawa sub district, Percut Sei Tuan sub-district, on the other side of industry sector contribute greatly to society prosperity level of Deli Serdang which is 32,12%. The problem is how much influence the industrial sector has on the economic growth in Deli Serdang. The purpose of this study to determine the magnitude of the influence of industrial sector on economic growth Deli Serdang. The industrial sector has a value of LQ> 1 means the industrial sector is a leading sector for Deli Serdang. To know the magnitude of industrial sector influence on the economic growth, linear regression model is used. This study uses time series data from 1993-2015 taken from BPS North Sumatra. The result of analysis shows that 15% of economic growth variation can be explained by industry sector while 85% is explained by other independent variable which is not included in research model. The value of these negative constants shows that without the leading sector of the industry the economic growth in deli serdang decreases. The estimation result of Deli Serdang's economic growth function is influenced by the industry's leading sectors having a positive and significant influence with 95% confidence level.


2019 ◽  
Vol 6 (2) ◽  
pp. 220-233
Author(s):  
Daniel Francois Meyer

Government interventions and economic activities could have significant impacts on the economies of countries. Effective governance and quality institutions are required for sustainable economic growth in both developed and developing countries. The primary objective of this study was to analyse the impact of government activities on economic growth in Poland. The study followed a quantitative research approach, employing time series data from 1995 to 2017 including GDP as the dependent variable with variables such as government spending and debt, size and effectiveness of government, and the level of corruption as independent variables. The relationships between the variables were analysed by making use of an Auto Regressive Distributed Lag (ARDL) econometric model. The results indicated that there are both long- and short-run relationships between the variables. Other results indicated that government variables included in the study, caused changes in economic growth as assessed via a Granger causality analysis. A number of recommendations were listed which include inter alia, that effective government spending and management have a positive impact on the economy, while efforts to limit the levels of corruption also contributes to economic improvements in a country.


2019 ◽  
Vol 6 ◽  
pp. 39-58
Author(s):  
Dr. Mohammad Ayaz ◽  
Dr.Hassan Shakeel Shah ◽  
Dr. Talat Hussain ◽  
Majid Iqbal

This research was conducted to find out whether Islamic capital markets (ICMs) have any effect on economic growth (EG). The study also made a comparison between three countries including Pakistan, Malaysia and UAE in this regard. Quantitative research technique was used in this study, where secondary and time series data was collected on a quarterly basis for the period 2009-2017. The effect of independent variables (IVs) on the dependent variable (DV) was examined. Co-integration and ARDL test were applied in Eviews 9 and Microfit 5.0. A growth model was developed for the selected countries separately in order to see whether IVs had any effect on DV. GDP was the DV of study while IMCAP, TNI and TNL were its IVs. It was found that in case of Pakistan and Malaysia, all the IVs had a significant effect on EG in the short run, while in the long run only IMCAP and TNI have a significant impact. In case of UAE, only two IVs (IMCAP and TNL) had a significant effect on EG in the short run, while in long run only one IV (IMCAP) has a significant impact. Further, it was found that IVs jointly had a significant effect on EG of the selected countries. So, this study concluded that ICMs do have a significant effect on EG of Pakistan, Malaysia and UAE. Considering the importance of ICMs in EG, regulators and policy makers are likely to benefit from the results of the current study which acts as a guide for developing and reforming the ICMs of Pakistan, Malaysia and UAE.Keywords: , , 


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