Public Infrastructure and Economic Growth in the Local Region

This study aims to analyze the effect of public infrastructure on economic growth in Lampung Province. The data used are time series and cross sections for the period 2012-2018 and 14 districts/cities. The method applied is the panel data model with the random effect model method. The results showed that Infrastructure, Irrigation Infrastructure, Health Infrastructure, Investment, Labor, and Gini Growth had a significant and positive effect on economic growth, while capital expenditures insignificant effect on economic growth. The implications of these findings indicate that public sector investments such as road infrastructure, bridges and other infrastructure facilities are important.

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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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Analisis Pengaruh Kepemilikan Blockholder, Kepemilikan Manajerial, Kepemilikan Institusional, dan Komite Audit terhadap Nilai Perusahaan

INDONESIAN JOURNAL OF ACCOUNTING AND GOVERNANCE ◽

10.36766/ijag.v2i1.10 ◽

2018 ◽

Vol 2 (1) ◽

pp. 96-121

Author(s):

Iwan Wirawardhana ◽

Meco Sitardja

Keyword(s):

Firm Value ◽

Audit Committee ◽

Stock Exchange ◽

Random Effect ◽

Random Effect Model ◽

Institutional Ownership ◽

Managerial Ownership ◽

Estimation Model ◽

Effect Model ◽

Positive Effect

The aim of this study is to analyse the effect of Blockholder Ownership, Managerial Ownership,Institutional Ownership, and Audit Committee towards Firm Value. The background of this research isthe agency theory and ownership theory. The population in this study are 46 property companies listedon the Indonesia Stock Exchange (IDX) for the period 2012-2016. By using purposive samplingtechnique, 35 companies are qualified as data samples. This research uses the random effect model asthe estimation model and multiple regression as the method of analysis. The results of this study showsthat Institutional Ownership has a positive effect on Firm Value. Meanwhile, Blockholder Ownership,Managerial Ownership, and Audit Committee have no effect on Firm Value. Moreover, the F-testimplies that the variables, blockholder ownership, managerial ownership, institutional ownership, andaudit committee, simultaneously influence firm value.

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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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Systematic Review and Meta-analysis of Pirfenidone, Nintedanib, and Pamrevlumab for the Treatment of Idiopathic Pulmonary Fibrosis

Annals of Pharmacotherapy ◽

10.1177/1060028020964451 ◽

2020 ◽

pp. 106002802096445

Author(s):

Enrica Di Martino ◽

Alessio Provenzani ◽

Patrizio Vitulo ◽

Piera Polidori

Keyword(s):

Systematic Review ◽

Idiopathic Pulmonary Fibrosis ◽

Pulmonary Fibrosis ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

World Health ◽

Effect Model ◽

All Cause Mortality ◽

Positive Effect

Background: The comparative efficacy of pirfenidone, nintedanib, and pamrevlumab in slowing the rate of forced vital capacity (FVC) decline and mortality in patients with idiopathic pulmonary fibrosis (IPF) is unknown. Objective: To perform a systematic review and meta-analysis (MA) of these drugs for IPF. Methods: We searched CENTRAL, PubMed, EMBASE, ClincalTrials.gov, and the World Health Organization’s registry databases up to March 2020. Phase II/III randomized controlled trials in adults with IPF were eligible. The random-effect model was implemented calculating the effect size and respective 95% CI as Cohen’s d for change from baseline FVC (in percentage predicted and liters) and odds ratio (OR) for 10% reduction in FVC and all-cause mortality (ACM). Results: Six studies were included in the MA. For change from baseline in percentage predicted FVC, the MA indicated that the 3 drugs were more effective than placebo (pirfenidone: d=3.30%, 95% CI=2.15-4.45; nintedanib: d=3.15%, 95% CI=2.35-3.95; pamrevlumab: d=4.30%, 95% CI=0.45-8.15). These results are superimposable to those relating to change from baseline FVC in liters (pirfenidone: d=0.09L, 95% CI=0.04-0.14; nintedanib: d=0.13L, 95% CI=0.10-0.16; pamrevlumab: d=0.20L, 95% CI=0.05-0.35). Each drug had a positive effect on 10% reduction in FVC (pirfenidone: OR=0.57, 95% CI=0.45-0.74; nintedanib: OR=0.66, 95% CI=0.51-0.85; pamrevlumab: OR=0.24, 95% CI=0.08-0.73), but only pirfenidone showed an effect on ACM (OR=0.50; 95% CI=0.31-0.83). Conclusion and Relevance: This MA provided encouraging results on pamrevlumab efficacy in slowing the decline in FVC compared with pirfenidone and nintedanib. Actually, in phase 3, it could become a potential IPF treatment.

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Excess cash holding, likuiditas, dan nilai perusahaan: Studi pada perusahaan non-finansial Indonesia

Jurnal Manajemen Maranatha ◽

10.28932/jmm.v20i2.3477 ◽

2021 ◽

Vol 20 (2) ◽

pp. 159-166

Author(s):

Felicia Santoso ◽

Rita Juliana

Keyword(s):

Firm Value ◽

Stock Exchange ◽

Random Effect ◽

Random Effect Model ◽

Cash Holding ◽

Financial Constraint ◽

Financial Firms ◽

Effect Model ◽

Excess Cash ◽

Positive Effect

This study aims to investigate the effect of excess cash on liquidity and firm value. The sample that is used is 211 non-financial firms listed in Indonesia Stock Exchange (IDX) with period from 2007 to 2017, resulting a total of 2321 firm-year observations. The regression model used are fixed effect and random effect model. The results show that excess cash increase trading continuity and decrease liquidity risk. This result can be caused by uninformed trader trading participation. Additionally, excess cash has a positive effect on firm value directly because with excess cash firm can invest. The study also finds that the effect of excess cash on illiquid firm value is negative, this result happened because excess cash can increase firm’s information asymmetry problem. Finally, we also find that excess cash has higher effect on small size firms with financial constraint problems and higher growth opportunities.

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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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PENGARUH EXECUTIVE INCENTIVE, FIRM SIZE, DAN LEVERAGE TERHADAP EARNINGS MANAGEMENT PADA PERUSAHAAN LQ-45 YANG TERDAFTAR DALAM BURSA EFEK INDONESIA PERIODE 2015-2018

Paradigma ◽

10.33558/paradigma.v18i2.2938 ◽

2021 ◽

Vol 18 (2) ◽

pp. 62-72

Author(s):

Nadhila Ellyane Ardaputri ◽

Dikdik Saleh Sadikin

Keyword(s):

Regression Analysis ◽

Earnings Management ◽

Multiple Regression Analysis ◽

Firm Size ◽

Sampling Method ◽

Stock Exchange ◽

Random Effect ◽

Random Effect Model ◽

Effect Model ◽

Positive Effect

This study aims to determine the effect of Executive Incentive, Firm Size, and Leverage on Earnings Management. The object of research in this study is the LQ-45 company listed on the Indonesia Stock Exchange (BEI) in the 2015-2018 period. This research uses purposive sampling method so that 27 companies are obtained with a total of 97 observations after outliers. This study uses a random effect model and multiple regression analysis used in hypothesis testing. This study provides results that the executive incentive LQ-45 company does not affect earnings management; firm size has a positive effect on earnings management; and leverage has no effect on earnings management.

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The Effect of Market Structure on Bank Performance in Central Java

Jurnal Economia ◽

10.21831/economia.v16i1.30150 ◽

2020 ◽

Vol 16 (1) ◽

pp. 112-129

Author(s):

Imanuel Madea Sakti

Keyword(s):

Market Structure ◽

Commercial Banks ◽

Random Effect ◽

Random Effect Model ◽

Bank Performance ◽

Independent Variables ◽

Central Java ◽

Effect Model ◽

The Relationship ◽

Positive Effect

Abstract: The research on the Structure-Conduct-Performance (SCP) hypothesis in the banking industry has been done many times, including in Indonesia. However, it still focuses on commercial banks. This research aims to examine the relationship between market structure and bank performance by involving commercial banks and rural banks (Bank Perkreditan Rakyat/BPR) when they are in the same market in the regency/city level. It uses panel data from 565 banks in Central Java: 261 BPR and 304 Commercial Banks, divided into 34 regencies/cities during 2012-2016. Independent variables involve market concentration and market share which is also as moderating variable, and the dependent variable is bank performance. The hypotheses are examined by multiple linear regression with a random effect model. In general, the results support that the market structure has a significant positive effect on bank performance. Another result has found no collusive behavior among dominant banks. Keywords: Structure-Conduct-Performance, Commercial Bank, Rural Bank, Market Structure, Bank Performance Pengaruh Struktur Pasar terhadap Kinerja Bank di Jawa Tengah Abstrak: Penelitian mengenai hipotesis Structure-Conduct-Performance (SCP) pada industri perbankan telah banyak dilakukan, termasuk di Indonesia. Namun, penelitian tersebut hanya berfokus pada bank umum saja. Penelitian ini bertujuan untuk menguji hubungan antara struktur pasar dan kinerja bank dengan melibatkan bank umum dan Bank Perkreditan Rakyat (BPR) ketika berada di pasar yang sama di tingkat kabupaten/kota. Penelitian ini menggunakan data panel terdiri dari 565 bank di Jawa Tengah: 261 BPR dan 304 Bank umum, yang terbagi ke dalam 34 kabupaten/kota selama tahun 2012-2016. Variabel independen yaitu konsentrasi pasar dan pangsa pasar yang sekaligus sebagai variabel moderasi, dan variabel dependen adalah kinerja bank. Hipotesis diuji menggunakan regresi linier berganda dengan random effect model. Secara umum, hasil mendukung bahwa struktur pasar berpengaruh positif signifikan terhadap kinerja bank. Hasil lainnya menunjukkan tidak terdapat perilaku kolusif di antara bank-bank besar. Kata kunci: . Structure-Conduct-Performance, Bank Umum, BPR, Struktur Pasar, Kinerja Bank.

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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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