scholarly journals Fluctuations in Rice Productivity Caused by Long and Heavy Rain Under Climate Change in Japan: Evidence from Panel Data Regression Analysis

2015 ◽  
Vol 49 (2) ◽  
pp. 159-172
Author(s):  
Yoji KUNIMITSU ◽  
Ryoji KUDO
Keyword(s):  
Climate Change ◽  
Regression Analysis ◽  
Panel Data ◽  
Heavy Rain ◽  
Rice Productivity ◽  
Panel Data Regression ◽  
Data Regression

scholarly journals The double-edged sword of corporatisation in the hospital sector: evidence from Indonesia

2016 ◽  
Vol 12 (1) ◽  
pp. 61-80 ◽  
Author(s):  
Asri Maharani ◽  
Gindo Tampubolon
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Financial Performance ◽  
System Performance ◽  
Hospital Performance ◽  
Public Hospitals ◽  
Health System Performance ◽  
The Past ◽  
Panel Data Regression ◽  
Data Regression

AbstractHoping to improve their health system performance, many countries have corporatised their hospitals in the past 20 years. What this means for hospital performance remains as yet largely unknown. This study looks into the association of corporatisation and hospital performance in Indonesia. We apply panel data regression analysis to survey data on 54 public hospitals in East Java province. Our analysis suggests that corporatisation is associated with higher hospital income and expenditure, but fails to improve efficiency and equity. These findings suggest that hospital corporatisation policy in Indonesia should increase emphasis on efficiency and equity rather than on financial performance alone.

scholarly journals EXAMINATION OF THE EFFECT OF LOGISTICS FUNCTIONS ON FINANCIAL PERFORMANCE OF ORGANIZATION

2021 ◽  
Vol 8 (3) ◽  
pp. 18-26
Author(s):  
Boye AYANTOYINBO ◽  
Adeolu GBADEGESIN
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Financial Performance ◽  
Performance Indicators ◽  
Secondary Data ◽  
Manufacturing Companies ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Subject ◽  
Logistic Functions

The contributions of logistics functions to the performance of an organization have been the subject of research over the years. Thus, this present study further examined the effect of outbound logistics functions on financial performance of quoted manufacturing companies in Nigeria. Panel data regression analysis was employed to test the effect of logistics functions on financial performance of the selected companies over a period of five years (2015-2019). Logistic functions costs and financial performance indicators were extracted from secondary data.  The findings of the study showed that logistics function has a positive and significant effect on financial performance of manufacturing companies in Nigeria. Therefore, the companies are implored to pay more attention to logistics functions when aiming at a better financial performance.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI OKI

2020 ◽  
Vol 7 (6) ◽  
pp. 1128
Author(s):  
Wheni Yeisa ◽  
Lina Nugraha Rani
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
International Trade ◽  
Panel Data ◽  
Labour Force ◽  
Estimation Model ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Effect Estimation

Economic growth is an indicator that plays an important role in determining the prosperity of a country. This study aims to analyze the effect of labour force, international trade, and inflation towards economic growth in OIC countries over the period 2007 to 2018. Panel data regression analysis approach was adopted to analyze the effect of independent variables on the dependent variable. The results of the fixed effect estimation model found that all variables simultaneously had a significant effect on economic growth. Partially, labour force and internasional trade have a significant effect, while inflation has no significant effect on economic growth. The results of this study can be used as a reference and evaluation materials for policy makers.Keywords: Labour Force, International Trade, Inflation, Economic Growth, Organizations of Islamic Cooperation

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 Pengaruh Pendapatan Asli Daerah dan Flypaper Effect Terhadap Perilaku Oportunistik Penyusun Anggaran

Akuntabilitas ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 13-26
Author(s):  
Anita DeGrave ◽  
Raja Vanaldo Boang Manalu ◽  
Rein J Wekan
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Opportunistic Behavior ◽  
Analysis Method ◽  
Flypaper Effect ◽  
Local Revenue ◽  
Panel Data Regression ◽  
Data Regression

This study aims to test and analyze the effect of local revenue and flypaper effect on the opportunistic behavior of budget makers. The data used in this research is panel data from eleven districts/cities in Maluku province from 2014 to 2020. The analysis method used is panel data regression analysis. The results showed that: (1) Local Own Revenue has a positive and significant effect on the Opportunistic Behavior of Regency/City Budget Formers in Maluku. This means that the higher the District/City Original Revenue, the higher the Opportunistic Behavior of Budget Compilers; (2) The Flypaper Effect has a positive and significant effect on the Opportunistic Behavior of Regency/City Budget Formers in Maluku. This means that the higher the occurrence of flypaper effect in regencies/cities in Maluku, the higher the opportunistic behavior of budget makers; and (3) Simultaneously the Regional Original Income and the Flypaper Effect influence the Opportunistic Behavior of Regency/City Budget Formers in Maluku. 

scholarly journals Analisis Pengaruh Pertumbuhan Ekonomi, Jumlah Angkatan Kerja dan Upah Minimum Regional Terhadap Pengangguran Terdidik di Jawa Timur

2017 ◽  
Vol 4 (2) ◽  
pp. 187
Author(s):  
R. Achmad Ryan Z ◽  
Nanik Istiyani ◽  
Anifatul Hanim
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Panel Data ◽  
Labor Force ◽  
Cross Section ◽  
Secondary Data ◽  
Minimum Wages ◽  
Panel Data Regression ◽  
Data Regression

This research aimed to determine how much the influence of economic growth, the number of labor force and regional minumum wages on educated unemployment in East Java. The data used in this research is secondary data such as time series and cross section. The analytical method used in this research is panel data regression analysis. The results showed that variable of the economic growth was positifly and not significantly affect to the educated unemployment in East Java, whereas the number of labor force and regional minimum wages was positivly and significantly affect to the educated unemployment in East Java. Keywords: The Economic Growth, the Number of Labor Force and Regional Minimum Wages.

scholarly journals PENGARUH TINGKAT KESEHATAN BANK TERHADAP ROA dan ROE BANK UMUM SYARIAH PERIODE 2012-2018

2021 ◽  
Vol 8 (2) ◽  
pp. 127
Author(s):  
Ma'shumatul Kurnia ◽  
Dian Filianti
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Lagrange Multiplier ◽  
Return On Assets ◽  
Return On Equity ◽  
Purposive Sampling ◽  
Significant Negative Effect ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

ABSTRAKPenelitian ini bertujuan untuk mengetahui kesehatan perbankan yang diwakili oleh GCG, CSR, FDR, dan BOPO terhadap return on assets (ROA), dan return on equity (ROE) BUS periode 2012-2018. Data yang digunakan adalah data tahunan yang diperoleh dari website resmi masing-masing sampel Bank Umum Syariah. Pemilihan sampel menggunakan metode purposive sampling. Metode penelitian ini menggunakan dua kali analisis regresi data panel dengan pemilihan model regresi data panel yang tepat melalui 3 uji yaitu uji chow, uji hausman, dan uji lagrange multiplier. Hasil penelitian pada analisis regresi pertama menunjukkan bahwa variabel GCG, CSR, dan FDR tidak berpengaruh signifikan terhadap ROA, sedangkan variabel BOPO berpengaruh negatif signifikan terhadap ROA. Kemudian pada analisis regresi kedua menunjukkan bahwa variabel GCG dan FDR tidak berpengaruh signifikan terhadap ROE, variabel CSR dan BOPO berpengaruh negatif signifikan terhadap ROE. Sedangkan secara simultan (bersama-sama) variabel GCG, CSR, FDR dan BOPO berpengaruh signifikan terhadap profitabilitas Bank Umum SyariahKata Kunci: Tingkat Kesehatan Bank, CSR, BOPO, Profitabilitas. ABSTRACTThis study aims to determine the health of banking represented by the GCG, CSR, FDR, and BOPO on return on assets (ROA), dan return on equity (ROE) BUS for the period 2012-2018. The data used was annual data obtained from the official website of each sample of the Syariah Commercial Bank. The sample selection used a purposive sampling method, where there were 5 samples. This research method used two-panel data regression analysis by selecting the right panel data regression model through 3 tests, namely chow test, Hausman test, and Lagrange multiplier test.  The results of the research in the first regression analysis showed that the GCG, CSR, and FDR variables had no significant effect on ROA, while the BOPO variable had a significant negative effect on ROA. Then the second regression analysis shows that the GCG and FDR variables do not have a significant effect on ROE, the CSR and BOPO variables have a significant negative effect on ROE. Meanwhile, simultaneously (together) the GCG, CSR, FDR and BOPO variables have a significant effect on the profitability of Islamic Commercial Banks.Keywords: Bank Health Level, CSR, BOPO, Profitability.

scholarly journals Sustainability Reporting dan Return Saham di Perusahaan Terindeks LQ45

2021 ◽  
Vol 31 (6) ◽  
pp. 1356
Author(s):  
Nyoman Weda ◽  
I Putu Sudana
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Stock Returns ◽  
Stock Return ◽  
Sampling Method ◽  
Sustainability Reporting ◽  
Company Size ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Data Regression

In recent years, investors have put pressure on companies to disclose more sustainability information. The purpose of this study was to determine the effect of the intensity of disclosure in sustainability reporting on stock returns. This research was conducted on companies with shares listed in the LQ45 index on the IDX. The number of samples taken was 17 companies, with a purposive sampling method. Data collection was carried out by documentation study. The analysis technique used is the panel data regression analysis technique. The results showed that the intensity of disclosure in sustainability reporting has no effect on stock returns. The high intensity of disclosure does not necessarily attract investors to invest and increase the company's stock return. Keywords: Sustainability Reporting; Profitability; Company Size; Stock Return.

scholarly journals The Effect of Operational Risk, Credit Risk And Revenue Diversification on Profitability

2022 ◽  
Vol 7 (1) ◽  
pp. 9-13
Author(s):  
Muhammad Pondrinal ◽  
Ronni Andri Wijaya ◽  
Thariq Al Adli
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Credit Risk ◽  
Analytical Method ◽  
Operational Risk ◽  
Revenue Diversification ◽  
Income Diversification ◽  
Panel Data Regression ◽  
Data Regression

This study aims to determine the effect of Operational Risk, Credit Risk and Income Diversification on Profitability in banking companies listed on the IDX for the 2016-2020 period.The analytical method used is Panel Data Regression analysis. The results obtained from this study: i) Operational Risk has a positive and significant effect on profitability in banking companies listed on the IDX for the 2016-2020 period. ii) Credit Risk has a negative and significant effect on profitability in banking companies listed on the IDX for the 2016-2020 period. iii) Income Diversification has a negative and significant effect on profitability in banking companies listed on the IDX for the 2016-2020 period. iv) Operational Risk, Credit Risk and Diversification have a positive and significant simultaneously positive and significant effect on Profitability in Banking companies listed on the IDX for the 2016-2020 period.

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