scholarly journals The Impact of Multi-Disciplinary Input on Glycaemic Control Over Time in Children on Intensive Insulin Therapy Using Real World Prospectively Collected Data

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A454-A455
Author(s):  
Jason Foran ◽  
Susan M O’Connell ◽  
Declan Cody ◽  
Eric Somers
Keyword(s):  
Panel Data ◽  
Glycaemic Control ◽  
Panel Data Analysis ◽  
Daily Injection ◽  
Matched Pairs ◽  
Panel Data Regression ◽  
Data Regression ◽  
Treatment Type ◽  
The Impact ◽  
Over Time

Abstract Aims: To investigate the factors impacting on glycaemic control over time including treatment type, educational input and patient demographics within an Irish tertiary paediatric diabetes centre. Methods: Using a prospectively maintained database of clinical encounters, data was analysed in age matched pairs from 2007 to 2019. Pairs were matched by insulin treatment type (pump v multiple daily injection (MDI)). Matching was performed on the basis of gender, current age, age at diagnosis and HbA1c at pump commencement. Panel data regression was performed on the entire sample and analysed for the impact of differing insulin regimens by gender, age and duration of diagnosis. This model was then used to assess the impact of intensive re-education sessions on HbA1c. Results: From 999 patients there were 104 matched pairs. Compared to MDI, matched pump patients had a lower HbA1c 6 months after commencement [Difference in HbA1c = 0.60% p <0.01], this effect persisted to 8 years [0.57% p=0.01]. Panel data analysis showed CSII therapy reduces HbA1c by 0.57% relative to MDI therapy (p<0.001). Patients who required intensive re-education showed a HbA1c 0.91% greater than otherwise identical patients prior to re-education, after these sessions HbA1c drops by a statistically significant 0.79% (p<0.001). Conclusions: Compared to matched peers on MDI treatment regimens, patients on pump therapy showed significant improvements in HbA1c which was an effect sustained up to 8 years. Panel data regression confirms these findings and in addition shows that intensive re-education is associated with a significant drop in previously elevated HbA1c levels.

scholarly journals The Importance of Maritime Transport for Economic Growth in the European Union: A Panel Data Analysis

2021 ◽  
Vol 13 (14) ◽  
pp. 7961
Author(s):  
Alexandra Fratila (Adam) ◽  
Ioana Andrada Gavril (Moldovan) ◽  
Sorin Cristian Nita ◽  
Andrei Hrebenciuc
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Maritime Transport ◽  
The European Union ◽  
Panel Data Regression ◽  
Green Investment ◽  
Port Infrastructure ◽  
The Impact

Maritime transport is one of the main activities of the blue economy, which plays an important role in the EU. In this paper, we aim to assess the impact of maritime transport, related investment, and air pollution on economic growth within 20 countries of the European Union, using eight panel data regression models from 2007 to 2018. Our results confirm that maritime transport, air pollutants (NOx and SO2) from maritime transport, and investment in maritime port infrastructure are indeed positively correlated with economic growth. In other words, an increase of 10% in these factors has generated an associated increase in economic growth rate of around 1.6%, 0.4%, 0.8%, and 0.7% respectively. Alongside the intensity of economic maritime activities, pollution is positively correlated with economic growth, and thus it is recommended that policymakers and other involved stakeholders act to diminish environmental impacts in this sector using green investment in port infrastructure and ecological ships, in accordance with the current European trends and concerns.

Climate Change Accounting and Value Growth of Financial Institutions in West Africa

2021 ◽  
pp. 431-445
Author(s):  
Haruna Maama ◽  
Ferina Marimuthu
Keyword(s):  
Climate Change ◽  
Panel Data ◽  
West Africa ◽  
Financial Institutions ◽  
Annual Reports ◽  
Impact Of Climate Change ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact ◽  
Value Growth

The study investigated the impact of climate change accounting on the value growth of financial institutions in West Africa. The study used 10 years of annual reports of 47 financial institutions in Ghana and Nigeria. The climate change disclosure scores were determined based on the task force's recommended components on climate-related financial disclosure. A panel data regression technique was used for the analysis. The study found a positive and significant relationship between climate change accounting and the value of financial institutions in West Africa. This result implies that the firms' value would improve should they concentrate and enhance their climate change disclosure activities. The findings also revealed that the impact of climate change accounting on the value of financial institutions is positively and significantly higher in countries with stronger investor protection. These findings enable us to expand our understanding of the process of generating value for investors in financial institutions and society, generally.

scholarly journals Market Concentration, Market Share, and Profitability (Study at Indonesian Commercial Banking in the Period of 2001-2012)

2015 ◽  
Vol 11 (27) ◽  
pp. 18
Author(s):  
Sapto Jumono ◽  
Noer A. Achsani ◽  
Dedi B. Hakim ◽  
Muhamad Fidaus
Keyword(s):  
Panel Data ◽  
Market Share ◽  
Concentration Ratio ◽  
Panel Data Analysis ◽  
Positive Influence ◽  
Commercial Banking ◽  
Panel Data Regression ◽  
Data Regression ◽  
Individual Market ◽  
Market Channel

<p>The objective of this research is to examine the influence of market structure on Indonesian commercial banking performance by using concentration ratio and individual market share through deposits market channel and credits market channel. There were 101 banks chosen from 120 banks in a period of 2001-2012 as sampling of research by using purposive sampling. This research uses data panel that combines data cross section and data time series, therefore panel data regression is used in this research. The result of panel data analysis has allowed us to conclude that concentration ratio of deposits market has a significant and positive influence on ROA, meanwhile concentration ratio of credits market, individual market share of deposits, and individual market share of credits market have no significant effects on ROA.</p>

scholarly journals ANALISIS PENGARUH JUMLAH PENDUDUK, PENDIDIKAN, UPAH MINIMUM DAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB) TERHADAP JUMLAH PENGANGGURAN DI KABUPATEN DAN KOTAPROVINSI JAWA TIMUR TAHUN 2010-2014

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Trianggono Budi Hartanto
Keyword(s):  
Panel Data ◽  
Gross Domestic Product ◽  
Minimum Wage ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Population Education ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

AbstractThis research aims to analyze the impact of variable population, education (Means Years School), minimum wage and gross domestic regional product on unemployment in district and cities East Java from 2010 to 2014. The analytical method used panel data regression (pooled data) with the Random Effect Model approach. Results of panel data regression analysis in this research showed population, education (means years school), minimum wage and regional gross domestic product is simultaneously significant positive effect on unemployment in distric and cities East Java. Partially, population, education (means year school) and regional gross domestic product is significant and positive impact on unemployment, while minimum wage has no significant impact on unemployment in distric and cities East Java. Keywords : Unemployment,  Population,  Education,  Minimum  Wage,  Gross Domestic Regional Bruto (GDRP) Research Area: District and City East Java

Islamic banks’ fee income, characteristics and risk: Panel data analysis evidence from Indonesia

2018 ◽  
Vol 6 (1) ◽  
pp. 6 ◽  
Author(s):  
Siti Sarah Mat Isa ◽  
Masturah Ma’in ◽  
Azlina Hanif
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Operating Income ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Us ◽  
The Relationship

One of the non-operating income in Islamic banking operation, which is fee income has become progressively vital in expanding their income to counter decreasing net earnings due to rivalry from other financial competitors. However, it is important for Islamic banks to find out any potential risk that will distress their performance due to this activity. This is because, mixed results on this issue derived from the previous studies especially in the Western context such as in the US, Germany and other European countries. Using Indonesian Islamic bank’s quarter data between 2009 and 2013, this study adopts the panel data regression analysis to examine the relationship between Indonesian Islamic banks fee income and risk. The empirical results signified that fee income activities able to reduce Indonesian Islamic bank’s risk.  

Impact of Competition on Social Performance of MFIs: Comparative Analysis of India and Bangladesh

2019 ◽  
Vol 24 (2) ◽  
pp. 160-170
Author(s):  
Joyeeta Deb
Keyword(s):  
Panel Data ◽  
Social Performance ◽  
Microfinance Institutions ◽  
Loan Repayment ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Social ◽  
Determining Factors ◽  
Loan Quality ◽  
The Impact

Although studies encompassing the different aspect of microfinance like sustainability of microfinance institutions (MFIs), role of microfinance in poverty alleviation, etc., have enriched the literature from time to time, studies on competition and its impact on social performance of MFIs are scarce. There also exists lacking consensus as to how can competition influence MFIs’ social performance. The empirical evidence reveals duality of opinion. With information asymmetry, competition enhances borrowers’ indebtedness and lowers expected loan repayment and impeding loan quality. Furthermore, in order to overcome these problems, MFIs would engage in more screening that raises their operational costs. This encumbers the sustainability of MFIs. Thus, the socially oriented MFIs, in order to remain sustainable, start targeting the less poor borrowers. But the other view holds that as competition intensifies, it provokes the MFIs to remain committed with the social objective and to strive to retain the clients. The theory on impact of competition on the social performance of MFIs may be either positive or negative, which calls for further investigation. Against this backdrop, this article attempts to assess the impact of competition on social performance of MFIs in India and Bangladesh. The study is conducted over 53 MFIs from India and 20 MFIs from Bangladesh on which a complete set of data is available. The study period is confined to 9 years from 2009 to 2017. In order to establish the association between competition and MFIs’ social performance, panel data regression is used. The study takes into account the depth and breadth of outreach as the dependent variable. The study uses panel data regression to establish the association between competition and social performance of MFIs. The empirical analysis reveals that competition has no significant association with any of the measures of social performance. This implies that social performance in the sector is explained by other factors. Amongst the country-specific variables, it is clear from analyses that gross domestic product (GDP) and inflation are important determining factors of MFIs’ social performance. Country of origin (COO) of the MFIs is one of the determining factors for social performance as it is found to be significant for three out of the four models. It is also evident from the analyses that Bangladeshi MFIs have a greater impact on MFIs’ social performance in terms of outreach in comparison to Indian MFIs. While for percentage of female borrowers (PFB), Indian MFIs account for greater depth of outreach in comparison to Bangladesh.

scholarly journals ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI PENAWARAN TENAGA KERJA DI INDONESIA

2019 ◽  
Vol 1 (3) ◽  
pp. 907
Author(s):  
Elsa Andrisani ◽  
Mike Triani
Keyword(s):  
Panel Data ◽  
Population Growth ◽  
Labor Supply ◽  
Fem Method ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

the phenomenon of labor in Indonesian is that the workforce in increasing but there are few opportunities for employment. This will cause unemployment and many unemployment will effect the economy. Study aims to determine the impact of population growth , wages, and education on labor supply in Indonesia. This research used panel data from 2013 to 2018 in 34 provinces in Indonesia  and analysis used panel data regression with FEM method. The results of the study found that; 1) population growth hasn’t impact on the labor supply in Indonesia. (2) Wages hasn’t impact on labor supply in Indonesia. (3) education has an impact on the labor supply in Indonesia.

scholarly journals Country innovative development: impact of the shadow economy

2020 ◽  
pp. 41-49
Author(s):  
Alina Vysochyna ◽  
Olena Kryklii ◽  
Mariia Minchenko ◽  
Aygun Akbar Aliyeva ◽  
Kateryna Demchuk
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Fixed Effects ◽  
Shadow Economy ◽  
Slovak Republic ◽  
Panel Data Analysis ◽  
Innovative Development ◽  
State Management ◽  
Panel Data Regression ◽  
Data Regression

This article generalizes arguments and counterarguments within the scientific discussion regarding the determination of the influence of illegal economic activity and expansion of the shadow economy on innovative country development. The systematization of the scientific works on the above problems proves that there is no one no complexity and unity in the above-mentioned scientific findings, which, in turn, demonstrates the necessity of further theoretical and empirical search in this sphere. Thus, it was developed a scientific hypothesis about the negative influence of the shadow economy on innovative country development. In order to test this hypothesis it was developed a scientific and methodological approach that consists of several stages: 1) correlation analysis in order to eliminate multicollinearity problem between control variables; 2) analysis of dataset descriptive statistics; 3) running Hausman test in order to clarify specification of the regression model (fixed or random effects model); 4) realization of the panel data regression analysis for the whole country sample and separately for Ukraine, characteristics of its results. Technically all stages of the research are realized with the help of Stata 12/S.E. software. The country sample consists of 9 countries (Azerbaijan, Estonia, Hungary, Latvia, Lithuania, Poland, Slovak Republic, Slovenia, and Ukraine). Time horizon – 2008-2018. Running of the panel data regression analysis (model specification – with fixed effects) allow confirming research hypothesis for the whole country sample (an increase of shadow economy negatively affected innovative country development: an increase of shadow economy to GDP ratio in 1 % leads to the decrease of the Global Innovation Index in 0.5 points). However, it was not proved for Ukraine separately. It leads to the conclusion that innovative development in Ukraine does not highly dependent on the shadow economy scale because of more significant obstacles on the way to innovation adoption (institutional inefficiency, regulatory drawbacks, etc.). Keywords: innovative economic growth, innovative state management, panel data analysis, shadow economy.

scholarly journals Modeling Human Development Index of Bali with Spatial Panel Data Regression

2019 ◽  
Vol 4 (5) ◽  
pp. 132-137
Author(s):  
Mita Lasdiyanti ◽  
Eka N. Kencana ◽  
Putu Suciptawati
Keyword(s):  
Panel Data ◽  
Human Development ◽  
Human Development Index ◽  
Panel Data Analysis ◽  
Spatial Error ◽  
Development Index ◽  
Spatial Panel ◽  
Panel Data Regression ◽  
Data Regression ◽  
Spatial Panel Data

Human development index (HDI) is an index that represents the successfulness of human development in a region. For Bali, one of 34 provinces in Indonesia, the progress of HDI in the period 2010–2017 showed an increasing trend. In the year 2010, the Bali’s HDI is accounted for 70.10, gradually increase to 74.30 in the year 2017. However, in 2017 there are some regions with their HDIs are below of Bali’s HDI, namely Jembrana, Buleleng, Klungkung, Bangli, and Karangasem. The aim of this work is to model the HDI of 9 regencies of Bali so that the main determinant to increase the HDIs especially for the regencies with lower HDIs could be determined. The model consists of one dependent variable (HDI) with three indicators as the independent ones, there are (a) life expectancy, (b) education, and (b) standard of living. By applying spatial panel data analysis, five models were built i.e. CEM, FEM (individual), FEM (time), REM, and spatial error FEM to determine the effect of each indicator. The result shows the best model is spatial error FEM in which education has the biggest influence compare than the others.

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