Infrastructure And Development

The existence of infrastructure disparity between regions is considered as one of the factors that drive economic inequality between regions. This happened in areas that had been divided into several districts. Regional expansion is the formation of new administrative regions at the provincial level as well as cities and regencies from their parents. The most prominent reason in the discourse of regional expansion is that some regions are considered to have too large an area so that efforts are needed to facilitate administrative services and bureaucratic pruning by division /pemekaran (Koswara, 2001). Efforts to accelerate regional development can be implemented by increasing economic growth. One of them is to encourage infrastructure development in areas (districts) that are far from the provincial capital, due to the topography of the region, there are hills, valleys, swamps, and forests, thus encouraging an increase in the potential of an area / region on an ongoing basis. Infrastructure is a driver of economic progress. From the allocation of public and private financing, infrastructure is seen as a locomotive of national and regional development. Infrastructure also has an important influence on improving the quality of life and human well-being. This study aims to see whether the infrastructure of sanitation, water, electricity has a significant influence and contribution to economic growth in the regencies / cities of Papua province. This research method uses panel data regression with Random Effect Model (REM).

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PENGARUH INFRASTRUKTUR SOSIAL DAN EKONOMI TERHADAP PERTUMBUHAN EKONOMI INDONESIA TAHUN 2015 - 2019

10.31219/osf.io/tvgc6 ◽

2021 ◽

Author(s):

Kristian Wanandi

Keyword(s):

Economic Growth ◽

Average Length ◽

Random Effect ◽

Random Effect Model ◽

Clean Water ◽

Infrastructure Development ◽

Social Infrastructure ◽

Effect Model ◽

Data Regression ◽

Long Time

Infrastructure development in Indonesia has been going on for a long time and at a fairly large cost. The contribution of infrastructure development is quite significant in increasing economic growth, but there are still problems faced by our country. This study aims to determine the influence and contribution of economic and social infrastructure to economic growth in Indonesia, which is represented by Gross Regional Domestic Product per capita.Panel data regression analysis is used to see the magnitude of the influence of infrastructure on economic growth in Indonesia. The infrastructure studied includes: length of roads, distributed electricity, clean water that is distributed, health described by Life Expectancy (AHH), and education described by the Average Length of School (RLS). The analysis was carried out using panel data with a random effect model in 34 provinces in Indonesia and over a period of 5 years (2015-2019). The results obtained are that roads and education have a significant effect on economic growth. Electricity, clean water, and health do not have a significant effect.economic infrastructure, social infrastructure, economic growth

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Percepatan Pembangunan Infrastruktur dan Penambahan Utang Luar Negeri Pemerintah: Potensi Manfaat vs Potensi Risiko

Indonesian Treasury Review Jurnal Perbendaharaan Keuangan Negara dan Kebijakan Publik ◽

10.33105/itrev.v2i4.41 ◽

2017 ◽

Vol 2 (4) ◽

pp. 1-14

Author(s):

Hangger Prihandoko

Keyword(s):

Economic Growth ◽

Panel Data ◽

Random Effect ◽

Random Effect Model ◽

Infrastructure Development ◽

Significant Negative Effect ◽

Effect Model ◽

Negative Effect ◽

The Government ◽

Basic Infrastructure

This study analyzes the effect of basic infrastructure development in the form of roads, electricity, education and health by the government on economic growth at the provincial level based on HDI groups namely provincial groups with high HDI and provincial groups with medium HDI. This study uses panel data composed of data across 32 provinces within the period of 2007-2014. Estimation is done by random effect model panel data regression analysis technique. The findings of this study are in high HDI provinces all forms of infrastructure are insignificant except educational infrastructure which has a significant negative effect, whereas in medium HDI provinces only health infrastructure that is not significant and only education infrastructure has a significant negative effect, other types of infrastructure such as roads, electricity and water have a significant positive effect. Based on these findings the prioritization of infrastructure development in relatively lagging regions is not only supporting the equitable distribution of economic growth but also the most efficient form of budget allocation for infrastructure development. Abstrak Penelitian ini menganalisis pengaruh pembangunan infrastruktur dasar berupa jalan, listrik air, pendidikan dan kesehatan oleh pemerintah terhadap pertumbuhan ekonomi di tingkat propinsi berdasar kelompok IPM Tinggi dan IPM Sedang. Jenis data yang digunakan adalah data panel yang tersusun dari data lintas ruang 32 propinsi dalam periode tahun 2007-2014. Estimasi dilakukan dengan teknik analisis regresi data panel random effect model. Temuan hasil penelitian ini adalah di provinsi IPM tinggi seluruh infrastruktur tidak berpengaruh signifikan kecuali infrastruktur pendidikan yang signifikan dengan arah negatif, sementara di provinsi IPM sedang hanya infrastruktur kesehatan yang tidak signifikan dan hanya infrastruktur pendidikan yang signifikan negatif, jenis infrastruktur lain berupa jalan, listrik dan air memiliki pengaruh signifikan positif. Berdasar temuan tersebut maka pemberian prioritas pembangunan infrastruktur pada daerah yang relatif tertinggal selain mendukung pemerataan pertumbuhan ekonomi juga merupakan bentuk alokasi anggaran pembangunan infrastruktur yang paling efisien.

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PENGARUH VARIABEL MAKROEKONOMI TERHADAP PROFITABILITAS BANK KONVENSIONAL BUKU 4 DI INDONESIA

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v3i1.11541 ◽

2021 ◽

Vol 3 (1) ◽

pp. 65

Author(s):

Sandi Fitra Yusuf ◽

Mike Triani

Keyword(s):

Economic Growth ◽

Interest Rate ◽

Random Effect ◽

Random Effect Model ◽

Bank Profitability ◽

Macroeconomic Variables ◽

Section Data ◽

Insignificant Effect ◽

Effect Model ◽

Selection Test

This study explains the extent of the influence of macroeconomic variables on the profitability of BUKU 4 banks in Indonesia. The macroeconomic variables consist of economic growth (X1), inflation (X2), Bank Indonesia Interest Rate (BI Rate) (X3, and Profitability is measured by the ROA (Return) ratio. On Asset). This study combines cross section data of 7 banks with time series from 2010-2019, with the Panel Regression method with the Random Effect model selection test. The results show that: (1) Economic growth has a positive and significant effect on bank profitability. conventional BUKU 4 in Indonesia, (2) Inflation has a positive and insignificant effect on the profitability of conventional BUKU 4 banks in Indonesia, (3) the Bank Indonesia Interest Rate (BI Rate) has a positive and insignificant effect on the profitability of conventional BUKU 4 banks in Indonesia.

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An Empirical Study on the Effect of Agricultural Infrastructure Investment on Economic Growth

E3S Web of Conferences ◽

10.1051/e3sconf/202127501004 ◽

2021 ◽

Vol 275 ◽

pp. 01004

Author(s):

Liu Ran

Keyword(s):

Economic Growth ◽

Industrial Structure ◽

Random Effect ◽

Random Effect Model ◽

Infrastructure Investment ◽

National Bureau ◽

Agricultural Field ◽

Effect Model ◽

New Development ◽

The Impact

In this paper, using the panel data of the National Bureau of Statistics database from 2010 to 2019, and using the random effect model, we studied the impact of agricultural infrastructure investment on economic growth. The empirical results show that the investment in agricultural infrastructure can significantly improve the national economy, among which the investment in new infrastructure promotes the economic growth to a certain extent. After comparing the eastern, central and western regions, it is found that the investment in agricultural infrastructure in the western region contributes more to the economic growth, and the statistical results are more significant. Based on the analysis of the role of agricultural infrastructure investment in promoting economic growth, this paper will further discuss the relevant suggestions of the “two new and one heavy” policy in the agricultural field, and promote the adjustment of agricultural industrial structure with the improvement of agricultural infrastructure, and promote the formation of a new development pattern of “double circulation”.

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Inequality and Economic Growth: An Analysis of 8-Panels

Journal of Economics and Public Finance ◽

10.22158/jepf.v3n2p173 ◽

2017 ◽

Vol 3 (2) ◽

pp. 173

Author(s):

Khadijah A. Idowu ◽

Yusuf Bababtunde Adeneye

Keyword(s):

Economic Growth ◽

Panel Data Analysis ◽

Random Effect ◽

Random Effect Model ◽

Specific Effect ◽

Developed Countries ◽

Fixed Effect Model ◽

Fixed Effect ◽

Effect Model ◽

The World

Purpose: This paper investigates the effects of inequality on economic growth in the world using continental approach.Design/methodology: Gini Coefficient and Gross Domestic Products (GDP) per capita were used to measure inequality and economic growth respectively. The study conducted a panel data analysis of the relationship between inequality and economic growth. The data span from 1991-2015. Five countries were selected each from seven continents and were also pooled together to constitute a single panel for 35 countries, thus establishing 8 panels. The Hausman test was conducted to determine whether a random or fixed effect model best fit pooled countries analysis or not.Findings: Findings revealed that for the developing countries, high income inequality retards economic growth while for the developed countries such as Europe countries; the situation seems to be different. European countries as revealed in the findings showed that developed countries have benefited from inequality which has significantly and positively affected their economic growth. The results for Panel II (Asia countries) and Panel III (Europe countries) are in line with the study of Forbes (2000) and Li and Zou (1998) that documented that inequality boosts economic growth. Importantly, we found that inequality positively affects economic growth for Panels/Continents with fixed effect model while inequality negatively affects economic growth for Panels/Continents with random effect model.Research Limitation: The study did not control for each continent differences. For African countries, weak institutional settings and environment is a key factor contributing to high inequality.Originality: The paper was able to know the specific effect of inequality on economic growth in each continent in the World. This documents continents that have benefited from inequality and those that inequality has greatly affected their economies negatively.

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Dampak Korupsi Terhadap Pertumbuhan Ekonomi: Studi Kasus 4 Negara di ASEAN

e-Journal Ekonomi Bisnis dan Akuntansi ◽

10.19184/ejeba.v7i1.16482 ◽

2020 ◽

Vol 7 (1) ◽

pp. 30

Author(s):

Akhmad Faisal Lutfi ◽

Zainuri Zainuri ◽

Herman Cahyo Diartho

Keyword(s):

Economic Growth ◽

Negative Impact ◽

Random Effect ◽

Random Effect Model ◽

Negative Influence ◽

Positive Influence ◽

Negative Effects ◽

Public Investments ◽

Effect Model ◽

Asean Countries

Today the phenomenon of the influence of corruption to economic growth has been a fairly hot issue of debate, both theoretically and empirically. The research uses a data panel analysis with a Random Effect Model approach to determine if corruption has a negative impact on economic growth in 4 ASEAN countries over the period of 2004-2015. Analysis results show that variable corruption has a negative influence on economic growth despite being insignificant, while other variables that have a significant positive influence on economic growth are public investments. The results of this study confirm that the negative effects of corruption do not directly affect economic growth but rather lead to the inefficiencies of production processes and the misallocation of resources.

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Corruption and Economic Growth at Province Levels in Indonesia

JEJAK ◽

10.15294/jejak.v14i2.25996 ◽

2021 ◽

Vol 14 (2) ◽

pp. 288-295

Author(s):

Nairobi Nairobi

Keyword(s):

Economic Growth ◽

Random Effect ◽

Random Effect Model ◽

Secondary Data ◽

Initial Growth ◽

Ceteris Paribus ◽

Transparency International ◽

Economic Growth Model ◽

Effect Model ◽

Research Period

This study aims to determine the effect of corruption on economic growth at the provincial level in Indonesia. This study uses a model based on the economic growth model of Levine and Renelt (1992). This study uses secondary data obtained from the Central Statistics Agency (BPS), the Investment Coordinating Board (BKPM), and Transparency International Indonesia with the research period of 2014-2018. This study uses a panel data model with a cross-section of 16 (sixteen) provinces in Indonesia. This study uses a model with a Random Effect Model (REM) approach. The results showed that the corruption perception index, foreign direct investment (FDI), initial growth (EGt-1), government spending (GE) and labor (L) each had a positive and significant effect on economic growth (EG) in 16 provinces in Indonesia for the 2014-2018 period, ceteris paribus.

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Financial inclusion and it’s effect on poverty in Indonesia

Jurnal Paradigma Ekonomika ◽

10.22437/jpe.v16i1.12083 ◽

2021 ◽

Vol 16 (1) ◽

pp. 97-108

Author(s):

Thomas Andrian ◽

Nurbetty Herlina Sitorus ◽

Irma Febriana MK ◽

Stefanus Willy Chandra

Keyword(s):

Economic Growth ◽

Random Effect ◽

Random Effect Model ◽

Secondary Data ◽

Poverty Rate ◽

Financial Inclusion ◽

Analysis Method ◽

Macroeconomic Variables ◽

Effect Model ◽

The Impact

This study aims to analyze and determine the impact of Financial Inclusion in Indonesia and other macroeconomic variables on poverty rate in Indonesia. This study uses secondary data. Analysis method with the Random Effect Model (REM) approach. The results of this study indicate that the variable Bank Service Offices per 1,000 km2 , Ratio of DPK, Ratio CRD have a negative and significant effect on poverty rate in 33 provinces in Indonesia in 2014-2018, and Unemployment Rate (UMP) has a positive and significant effect on poverty rate in 33 provinces in Indonesia in the 2014-2018 period. However, the variable Economic Growth and Inflation (INF) did not have a significant effect on poverty in 33 provinces in Indonesia in the 2014-2018 period. Measuring this dimension is still difficult to do and currently several international institutions were concerned about the development of financial inclusion. Keywords: Financial inclusion, Poverty rate, Economic growth

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Pengaruh Faktor Ekonomi Terhadap Jumlah Kejahatan (Crime Total) Di Indonesia (2015-2017)

Jurnal Keamanan Nasional ◽

10.31599/jkn.v5i2.437 ◽

2019 ◽

Vol 5 (2) ◽

pp. 89

Author(s):

Masfiatun Masfiatun

Keyword(s):

Economic Growth ◽

Economic Inequality ◽

Random Effect ◽

Random Effect Model ◽

Economic Factors ◽

Effect Model ◽

Positive Effect

This study is motivated by the number of crimes in Indonesia in 2015-2017 that are fluktuative. Efforts and policies to prevent and reduce crime have been carried out by state in this case the security apparatus (Polri), but the implication is that not all regions can reduce the number of crimes. Therefore this study tries to examine whether economic factors influence the number of crimes. The model used in this study is a random effect model with a period of research from 2015 to 2017. The results of the study indicate economic inequality has a positive effect significant on the number of crimes, while the variables of economic growth, poverty and unemployment do not affect significant to the number of crimes.

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Do Government Expenditures Subject to Law of Diminishing Returns? A Panel Data Application

International Conference on Eurasian Economies 2018 ◽

10.36880/c10.02212 ◽

2018 ◽

Author(s):

Menşure Kolçak ◽

Ali Yasin Kalabak

Keyword(s):

Economic Growth ◽

Panel Data ◽

Empirical Analysis ◽

Random Effect ◽

Random Effect Model ◽

Government Expenditure ◽

Fixed Effect Model ◽

Public Expenditures ◽

Effect Model ◽

Diminishing Returns

The effect of government expenditure on economic growth has attracted attention of economist for long time. In this context, this paper aims to understand that government expenditure subjects to whether constant, decreasing or increasing yield. For this reason, countries were classified as with low government expenditure, medium government expenditure and high government expenditure, and were added into empirical analysis in the paper. The number of countries included in the analysis is 138 and the analysis covers the period between years 1980 and 2016. In this context, empirical analysis consists of fixed effect model, random effect model, hausman test and unbalanced panel data technique was applied. According to results of analysis, when government expenditure increases as quantitative, it’s effect on economic growth decreases but it still affects economic growth positively. To make public expenditures lately subject to law of diminishing returns, it may come into question that public expenditures is canalized to technology intensive areas. In order to increase productivity in the public expenditures and to shift out diminishing returns, level of spendings on human capital can be increased.

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