The impact of institutions on economic growth in selected developing countries: An analysis based on Bayesian panel estimation

2020 ◽  
Vol 4 (4) ◽  
pp. 251-272
Author(s):  
Qasim Shah ◽  
Seema Zubair ◽  
Sundus Hussain
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Fixed Effect Model ◽  
Data Models ◽  
Fixed Effect ◽  
Estimation Methods ◽  
Panel Data Models ◽  
Effect Model ◽  
The Impact

This paper presents an empirical analysis of the impact of institutions on the economic growth of 27 developing countries during the period 1990-2014. Many creative models of panel data allow variations in slope coefficients both across time and cross-sectional units. All models were established in a Bayesian structure and their performance was tested by using an interesting application of the effect of institution on GDP. Technical details of all these models are given and tools are presented to compare their performance in the Bayesian system. Besides, panel data models and posterior model pools are provided for an insight into the institution's relationship with economic development. The derivation of Bayesian panel data models is included. The previous data has been used in this study and normal gamma prior is used for the models of panel data. 2SLS estimation technique has been used to analyze the classical estimation of panel data models. In the paper, developing countries were viewed as a whole. The study's evaluated results have shown that panel data models are valid Bayesian methodology models. In the Bayesian approach, the results of all independent variables affect the dependent variable significantly and positively. Based on all model standard defects, it is necessary to say that the Fixed Effect Model is the best in Bayesian panel data estimation methods. It was also shown that in comparison to other models, the fixed-effect model has the lowest standard error value.

scholarly journals Determinants of Financial Performance of Nepalese Commercial Banks: Evidence from Panel Data Approach

2020 ◽  
Vol 32 (2) ◽  
pp. 45-59
Author(s):  
Purna Man Shrestha
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Commercial Banks ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Lagrangian Multiplier ◽  
Effect Model ◽  
Specific Factors ◽  
The Impact ◽  
Bank Specific Factors

The impact of bank specific factors on the financial performance of Nepalese commercial banks is analyzed in this paper. The financial performance is measured by using return on assets (ROA). Similarly, managerial efficiency (ME), liquidity (LIQ), credit risk (CR), assets quality (AQ) and operational efficiency (OE) is used as proxy of bank specific factors. This study used panel data of 17 commercial banks for the period of 2010/11 to 2017/18. Breusch and Pagan Lagrangian multiplier test showed that Pooled Regression model is not appropriate and Hausman test concluded that Fixed Effect model is appropriate rather than Random Effect model. Using the Fixed Effect model; this study concludes that bank specific factors have significant impact on financial performance of Nepalese commercial banks. Finally, this study reveals that ME, AQ and OE have significant positive impact, and CR has negative impact on the financial performance of Nepalese commercial banks.  

scholarly journals PENERAPAN REGRESI DATA PANEL PADA ANALISIS PENGARUH INFRASTRUKTUR TERHADAP PRODUKTIFITAS EKONOMI PROVINSI-PROVINSI DI LUAR PULAU JAWA TAHUN 2010-2014

2018 ◽  
Vol 11 (1) ◽  
pp. 1-15
Author(s):  
Yosephine Magdalena Sitorus ◽  
Lia Yuliana
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Seemingly Unrelated Regression ◽  
Total Output ◽  
Economic Productivity ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

There is inequality between the economic growth of provinces in Java and outside of Java. The total area of Java  is only 6,77% from total area of Indonesia but the Growth Domestic Product (GDP) based on constant price in 2014, Java contributed 57,8% of the GDP total Indonesia. One cause that made this disparity is the development of infrastructure in outside Java is still weak. The development of infrastructure is a basic element for increasing total output production that later will increase the economic growth. However, there are so many problems that occur in developing the infrastructure in outside of Java. This study aimed to analyze the condition of infrastructure provinces outside Java in 2010-2014. The data used is the secondary data for 27 provinces outside of Java 2010-2014 from BPS. The analytical method used is panel data regression with fixed effect model and Seemingly Unrelated Regression (SUR) Model. Based on the results, the infrastructure that affects economic productivity significantly and positively is road infrastructure, health, and budget. Infrastructure that affects economic productivity significantly and negatively is the educational infrastructure. Water and electricity infrastructure did not significantly affect economic productivity.Keywords: Infrastructure, Economic productivity, Panel Data Regression, Fixed Effect Model

Impact of Military Expenditures on the Globalization Process: A Spatial Econometric Analysis for African Region

2021 ◽  
pp. 002190962110103
Author(s):  
Saima Sarwar ◽  
Alvina Sabah Idrees
Keyword(s):  
Economic Growth ◽  
Negative Relationship ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Spatial Econometric ◽  
Effect Model ◽  
The World ◽  
Spatial Autoregressive ◽  
Military Expenditures ◽  
The Impact

With modernization, ideological shifts and economic interdependency, the concept of globalization has expanded vastly. Though the world is unipolar, still the international competition remains prevalent that poses serious threats to regional conflicts. The great powers of the world are still competing with each other for influence over other countries. Thus, the role of militarization cannot be ignored in this context. Thus, it would be interesting to examine the impact of military expenditures on the globalization process through the spill-over effects, along with their relationship with economic growth. The study employed panel data consisting of African countries, covering the time period from 2001 to 2014. The econometric estimation is done through the application of spatial econometric techniques, that is, the spatial autoregressive fixed effect model and spatial Durbin fixed effect model. The study has found a positive relationship between economic growth and globalization but a negative relationship was found between military expenditures and economic growth.

scholarly journals The impact of corruption on the economic growth in Bangladesh, India and Pakistan: An ARDL approach

2021 ◽  
Vol 12 (8) ◽  
pp. 2079-2093
Author(s):  
Md. Mamun Miah ◽  
Tahmina Akter Ratna ◽  
Shapan Chandra Majumder
Keyword(s):  
Economic Growth ◽  
Correction Term ◽  
Negative Relationship ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Positive Influence ◽  
Fixed Effect ◽  
Ardl Model ◽  
Effect Model ◽  
The Impact

Purpose of the study: Main purpose of the paper is to find out the impact of corruption on the economic growth of Bangladesh, India, and Pakistan. At the same time, our other objectives are to find the long and short-run effects of corruption on growth in these countries. Methodology: For conducting the study, we have taken the data from Bangladesh, India, and Pakistan. For this study necessary secondary data have been collected from 1990 to 2016 based on countries like Bangladesh, India, and Pakistan. Data for economic growth (dependent) and trade (independent) are collected from World Development Bank and data for corruption are taken from International Country Risk published by the PRS Group. The study has used ECM ARDL Model and the Fixed Effect Model.  Findings: The result of the fixed effect model shows a 1percent increase in corruption decreases GDP by 0.07 units and shows a negative relationship with economic growth. Again if trade increases by 1 percent then growth will increase by 0.09 units on average and shows a positive relationship with economic growth. ECM ARDL Model shows the positive coefficient of corruption but not significant but trade has a long-run positive influence on economic growth. The error correction term indicating that the adjustment is corrected by 70% in these three countries. Contributions: This paper may be helpful for existing literature gap and also for further research. It will be helpful for policy makers to control corruption in three countries.

scholarly journals Environmental regulation, Industrial structure upgrading and Economic growth in Beijing Tianjin Hebei region

2021 ◽  
Vol 235 ◽  
pp. 02021
Author(s):  
Menglu Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Environmental Regulation ◽  
Industrial Structure ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
The Relationship ◽  
Industrial Structure Upgrading

This paper selects the panel data of 13 cities in Beijing Tianjin Hebei region from 2008 to 2016, and uses the fixed effect model to study the relationship between environmental regulation, industrial structure upgrading and economic growth in Beijing Tianjin Hebei region. The results show that: strengthening environmental regulation can promote the upgrading of industrial structure in Beijing Tianjin Hebei region by reducing the emission of pollutants; the upgrading of industrial structure is conducive to promoting the economic development of Beijing Tianjin Hebei region.

scholarly journals Daya Saing dan Pertumbuhan Ekonomi Negara Berkembang ASEAN

2020 ◽  
Vol 9 (1) ◽  
pp. 37-44
Author(s):  
Fadeli Yusuf Afif ◽  
Ukhti Ciptawaty
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Panel Data ◽  
Direct Investment ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Series Data ◽  
Labor Participation ◽  
Effect Model ◽  
Asean Countries

The purpose of this study is to look at the condition of the country's competitiveness and its influence on ASEAN economic growth. The data used consists of panel data consisting of time series data for 2009 - 2019 and a cross section of five ASEAN countries with the highest level of competitiveness. The variables used are economic growth, competitiveness, labor participation, and foreign direct investment. The analysis tool used is panel data regression, the Fixed Effect Model (FEM). The results show that competitiveness, labor participation, and foreign direct investment have a positive and significant effect on economic growth in the five developing ASEAN countries.   Keywords: ASEAN, Competitiveness, Economic Growth, and Fixed Effect Model (FEM).

scholarly journals DETERMINAN PERTUMBUHAN EKONOMI DI PROPINSI ACEH

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Nujma Faradisi
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Urban District ◽  
Independent Variables ◽  
Urban Districts ◽  
Effect Model ◽  
Aceh Province

This research aims to analyze the effect of own-source revenue, general allocation grant, special allocation fund, and special autonomy fund to economic growth in Aceh district/urban district from 2008 to 2011. To estimate economic growth, this research used the rate of RGDP  growth  for dependent  variable. While own-source revenue, general allocation grant, special allocation fund, and special autonomy funds are research’s  independent  variables.  This study took panel data with Fixed Effect Model (FEM) for the method and seven districts and three urban districts in Aceh Province for the sample. The result shows that economic growth explained by own-source revenue, general allocation grant, special allocation fund, and special autonomy fund by 87,30 percent (Adjusted R2). Then, economic growth able to be effected by own- source revenue, general allocation  grant, special allocation  fund, and  special autonomy fund by 21,64 percent (f-statistic).DOI: 10.15408/sjie.v4i2.2303

Estimating the Impact of Avian Flu on International Tourism Demand Using Panel Data

2009 ◽  
Vol 15 (3) ◽  
pp. 501-511 ◽  
Author(s):  
Hsiao-I Kuo ◽  
Chia-Lin Chang ◽  
Bing-Wen Huang ◽  
Chi-Chung Chen ◽  
Michael McAleer
Keyword(s):  
Panel Data ◽  
Pandemic Influenza ◽  
Fixed Effects ◽  
Data Models ◽  
International Tourism ◽  
Panel Data Models ◽  
Tourism Demand ◽  
Avian Flu ◽  
Potential Risks ◽  
The Impact

This paper investigates the impacts of avian flu on global and Asian tourism using panel data procedures. Both static and dynamic fixed effects panel data models are adopted to estimate the impacts of this infectious disease. The empirical results from static and dynamic fixed effects panel data models are consistent and indicate that the number of affected poultry outbreaks has significant impacts on the international tourism of global and Asian affected countries. The high mortality rate among humans, the potential of a global flu pandemic and some media frenzy with hype and speculation might adversely affect the images of these infected destinations as a safe tourist destination. Moreover, it was found that the average damage to Asian tourism was more serious, which might have been induced by an ineffective suppression in numerous Asian infected countries. In addition, Asia was the earliest affected region and the area infected most seriously by avian flu, both in humans and in poultry. Since the potential risks and damage arising from avian flu and the subsequent pandemic influenza are much greater than for previous diseases, the need to take necessary precautions in the event of an outbreak of avian flu and pandemic influenza warrants further attention and action in modelling and managing international tourism demand and risk.

Do Women Directors Impact the Risk and Return of Indian Banks?

2020 ◽  
Vol 10 (1) ◽  
pp. 44-65
Author(s):  
Ankur Shukla ◽  
Narayanasamy Sivasankaran ◽  
Prakash Singh ◽  
Ayyaluswamy Kanagaraj ◽  
Shibashish Chakraborty
Keyword(s):  
Panel Data ◽  
Stock Exchange ◽  
Data Models ◽  
Panel Data Models ◽  
Women Directors ◽  
Return On Assets ◽  
Risk And Return ◽  
Form Part ◽  
Indian Banks ◽  
The Impact

The purpose of the paper is to investigate whether women directors impact the risk and return of Indian banks. This study employs panel data models for a sample of 29 Indian banks that form part of the National Stock Exchange 500 index for the period 2009–2016. This paper concludes that women directors influence the accounting returns (measured through Return on Assets) of Indian banks. However, it was found that women directors did not affect the risks (measured through Equity Beta and gross NPA to Total Assets) of the sample banks. This paper contributes to the literature and practitioners in several ways. To the best of the knowledge of the authors, no study has examined the impact of women directors on the risk and return of banks operating in India. Hence, the findings of this article have substantial implications both to academia and practitioners.

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