scholarly journals Dilemma of Business Climate and The "Real Climate"

2021 ◽  
Vol 25 (1) ◽  
pp. 210
Author(s):  
Faradiba Faradiba
Keyword(s):  
Climatic Conditions ◽  
Least Square ◽  
Climate Data ◽  
Business Climate ◽  
Non Profit ◽  
Ordinary Least Square ◽  
Industrial Enterprises ◽  
Independent Variable ◽  
The Village

The role of business in advancing the economy and welfare is highly expected in the community. In the development of a business that occurs, it often sacrifices non-profit aspects, such as the environment. The indirect impact that can arise from business development is climate change. This study uses climate data and the number of industrial enterprises by type at the village level, to determine the effect of business on the climate that occurs. This study uses ordinary least square, to determine the role of each independent variable. The results of this study indicate that an increase in 1,000 of these types of businesses will result in an increase in temperature of 1 oC. Furthermore, an increase in 1,000 types of business will reduce rainfall by 11 to 64 mm. Government and community efforts are needed to maintain climatic conditions for the sustainability of the ecosystem.

THE EFFECT OF EDUCATION, HEALTH, UNEMPLOYMENT AND INFRASTRUCTURE ON POVERTY IN BENGKAYANG REGENCY

2019 ◽  
Vol 1 (1) ◽  
pp. 17-25
Author(s):  
Deffrinica Deffrinica
Keyword(s):  
Least Squares Method ◽  
Education Sector ◽  
Least Square ◽  
Path Coefficient ◽  
Hospital Services ◽  
Ordinary Least Square ◽  
Independent Variable ◽  
The Government ◽  
Poverty Levels ◽  
Positive Effect

Education  (X1) shows the results of the analysis of poverty (Y) in Bengkayang Regency. Not significant when viewed from the results of the t test partially can be obtained to count to the value of the Education Sector, -1.449> 1.796 so that education has a positive and not significant effect on poverty, which is supported by a significant level of 0.385 <0.050. This shows that the Education Sector variable has no significant effect on Poverty (Y). Health (X2) has a negative and significant effect on Poverty, which is supported by the Probability Value (sig) of 0.437 <0.050. This means that in terms of health, the government in this case has made every possible effort  for budget expenditures , but in fact in the field there are still many underprivileged people who have not been able to enjoy maximum hospital services. The results of the analysis of the direct effect of Unemployment (X3) on Poverty in Bengkayang Regency showed insignificant influence. The results of the analysis show that this path has a significant effect because the value of t count is 1,217, while the table is 1,796 (t count 1,217> t table 1,796), thus in this direct relationship pattern, unemployment has a positive effect not significant to poverty, which is supported by Probability Value (sig) 0.371> 0.050. The results of the analysis of direct influence of Infrastructure (X4) on poverty levels in Bengkayang Regency show that the path coefficient between Infrastructure and poverty is 0.804> 0.050, which means that the pathway has a negative and insignificant effect. The method used to analyze this research is linear regression with the least squares method usually known as OLS (Ordinary Least Square), which is a method used to determine the effect of an independent variable on the dependent variable.

scholarly journals PENERAPAN METODE BOOTSTRAP RESIDUAL DALAM MENGATASI BIAS PADA PENDUGA PARAMETER ANALISIS REGRESI

2014 ◽  
Vol 3 (4) ◽  
pp. 130
Author(s):  
NI MADE METTA ASTARI ◽  
NI LUH PUTU SUCIPTAWATI ◽  
I KOMANG GDE SUKARSA
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Confidence Intervals ◽  
Bootstrap Method ◽  
Least Square ◽  
Prediction Tool ◽  
Analysis Method ◽  
Ordinary Least Square ◽  
Independent Variable ◽  
Parameter Estimators

Statistical analysis which aims to analyze a linear relationship between the independent variable and the dependent variable is known as regression analysis. To estimate parameters in a regression analysis method commonly used is the Ordinary Least Square (OLS). But the assumption is often violated in the OLS, the assumption of normality due to one outlier. As a result of the presence of outliers is parameter estimators produced by the OLS will be biased. Bootstrap Residual is a bootstrap method that is applied to the residual resampling process. The results showed that the residual bootstrap method is only able to overcome the bias on the number of outliers 5% with 99% confidence intervals. The resulting parameters estimators approach the residual bootstrap values ??OLS initial allegations were also able to show that the bootstrap is an accurate prediction tool.

scholarly journals THE ROLE OF HOUSEHOLD COMPOSITION IN EGG CONSUMPTION IN THE OBAFEMI AWOLOWO UNIVERSITY COMMUNITY

2021 ◽  
Vol 28 (1) ◽  
pp. 98-102
Author(s):  
A. B. AYANWALE ◽  
J. O. AJETOMOBI
Keyword(s):  
Demand Function ◽  
Household Composition ◽  
Least Square ◽  
Function Parameter ◽  
Parameter Estimates ◽  
Ordinary Least Square ◽  
Egg Consumption ◽  
Ordinary Least Square Regression ◽  
University Community

This paper exainîned the role of household composition in egg cunsumption in Obafemi Awolowo University Community. An Ordinary Least Square regression model was used to obtain at-home demand function parameter estimates for egg. Positive and signiflcant relationship was found between quantity of eggs consumed and both household size and the age of children. A 1% increase in each of the variables would cause a 4.68% and 5.71 % increase in egg consumption respectively. The need for education of the household on the importance of egg consumption and keeping an optimum family size was suggested based on the findings of the study.

scholarly journals PENGARUH VARIABEL EKONOMI MAKRO TERHADAP PEMBIAYAAN PERBANKAN SYARIAH PERIODE 2010-2018

2021 ◽  
Vol 24 (1) ◽  
pp. 9-15
Author(s):  
Jie Novita
Keyword(s):  
Empirical Study ◽  
Interest Rates ◽  
Least Square ◽  
Quantitative Approach ◽  
Islamic Banking ◽  
Macroeconomic Variables ◽  
Ordinary Least Square ◽  
Bank Financing ◽  
Independent Variable ◽  
Repo Rate

The purpose of the research is to examine and analyze the effect of macroeconomic variables GDP and inflation on Islamic banking financing in Indonesian. Islamic bank financing is the dependent variable, whereas GDP, reference interest rates, and inflation are the independent variable. The data used is Islamic banking financing, GDP, reference interest rates, and inflation in Indonesian from 2010-1018. This empirical study uses a quantitative approach and method of OLS (Ordinary Least Square). The results of this research indicate that the GDP variable has positive and statistically significant effect on Islamic banking financing, the variable reference interest rates (BI Rate and BI Rate 7days Repo Rate) have negative and statistically significant effect on Islamic banking financing, the inflation variable has positive and statistically significant effect on Islamic banking financing.

Insurance regulations, risk and performance in Ghana

2019 ◽  
Vol 28 (1) ◽  
pp. 74-96
Author(s):  
Baah Aye Kusi ◽  
Abdul Latif Alhassan ◽  
Daniel Ofori-Sasu ◽  
Rockson Sai
Keyword(s):  
Random Effect ◽  
Least Square ◽  
Insurance Market ◽  
Content Type ◽  
Ordinary Least Square ◽  
Negative Effect ◽  
And Performance ◽  
First Time

Purpose This study aims to examine the hypothesis that the effect of insurer risks on profitability is conditional on regulation, using two main regulatory directives in the Ghanaian insurance market as a case study. Design/methodology/approach This study used the robust ordinary least square and random effect techniques in a panel data of 30 insurers from 2009 to 2015 to test the research hypothesis. Findings The results suggest that regulations on no credit premium and required capital have insignificant effects on profitability of insurers. On the contrary, this study documents evidence that both policies mitigate the effect of underwriting risk on profitability and suggests that regulations significantly mitigate the negative effect of underwriting risk to improve profitability. Practical implications The finding suggests that policymakers and regulators must continue to initiate, design and model regulations such that they help tame risk to improve the performance of insurers in Ghana. Originality/value This study provides first-time evidence on the role of regulations in controlling risks in a developing insurance market.

scholarly journals The Role of Political Connections on Family Firms’ Performance: Evidence from Indonesia

2019 ◽  
Vol 7 (4) ◽  
pp. 55 ◽  
Author(s):  
Iman Harymawan ◽  
Mohammad Nasih ◽  
Muhammad Madyan ◽  
Diarany Sucahyati
Keyword(s):  
Family Firms ◽  
Stock Exchange ◽  
Least Square ◽  
Political Connections ◽  
Family Ownership ◽  
Ols Regression ◽  
Ordinary Least Square ◽  
Relationship Of ◽  
The Relationship

The purpose of this study is to investigate the relationship of firms with family ownership and their performance in Indonesia and further examine on how political connections affect this relationship. This study used 933 samples from 413 companies listed on the Indonesia Stock Exchange (IDX) in the period between 2014 and 2016. Using ordinary least square (OLS) regression, the results shows that firms without family ownership (non-family firms) have better performance than firms with family ownership (family firms) in Indonesia. Furthermore, the findings also show that the performance of family firms significantly improve when the firms are affiliated with political connections. Our findings imply that establishing political connections in family firms will increase the performance of the firms.

Relative institutional quality and FDI inflows in ASEAN countries

2017 ◽  
Vol 44 (1) ◽  
pp. 115-137 ◽  
Author(s):  
Tajul Ariffin Masron
Keyword(s):  
Multinational Corporations ◽  
Relative Effectiveness ◽  
Institutional Quality ◽  
Least Square ◽  
Limited Information ◽  
Fdi Inflows ◽  
Content Type ◽  
Ordinary Least Square ◽  
Asean Countries

Purpose Foreign direct investment (FDI) inflows into any country, especially ASEAN countries, is affected by any improvement in the institutional quality (IQ) of competitors such as China. As generally investors make decisions by comparing two countries’ IQ, the ratio of two countries’ IQ matters more than a single country’s IQ. The purpose of this paper is to re-examine the role of IQ on FDI inflows in ASEAN countries for the period 1996-2013. Design/methodology/approach With limited information on IQ, this study pools eight ASEAN countries as the sample for analysis from 1996 until 2013. A panel dynamic approach – namely, dynamic ordinary least square and fully modified ordinary least square – is utilized. Findings This study confirmed that relative IQ significantly affects FDI inflows into ASEAN countries. The low effect is more reflective of the small portion of world FDI inflows into the ASEAN region. Research limitations/implications This study observes the crucial relationship between IQ and FDI – that the relative effectiveness of IQ in attracting FDI inflows depends heavily on the changes in both countries’ IQ. Hence, the effort of ASEAN countries to improve IQ and use it as a means to lure FDI inflows should go beyond a mere improvement. Focus should be on significant improvement of IQ so that multinational corporations will comfortably remain or inject new FDI into the country. Practical implications Every ASEAN country should double their efforts toward improving their IQ in order to attract future FDI. Originality/value Several studies have confirmed the role of IQ on FDI inflows. However, the majority of these studies have investigated the effect of IQ exclusively for a specific country even though some of them have used a panel of several countries’ data. On the other hand, investors normally evaluate their decision on whether or not to invest based on the relative terms, comparing several potential locations of investment at once. This study can be considered the first to explore the potential effect of IQ after taking into account the possibility of each ASEAN country’s IQ being easily offset by changes in the IQ of China.

scholarly journals Deposit Money Banks and Economic Growth in Nigeria

2014 ◽  
Vol 5 (1) ◽  
pp. 41-50 ◽  
Author(s):  
Samson Ogege ◽  
Tarila Boloupremo
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Banking System ◽  
Least Square ◽  
Series Data ◽  
Credit Allocation ◽  
Least Square Estimator ◽  
Ordinary Least Square ◽  
Residual Series

This paper examines the effect of deposit money banks intermediation role on economic growth and development in Nigeria. The main objective of the research was to ascertain the extent to which sectorial credit allocation by deposit money banks have influenced growth in the economy. Time series data covering the period 1973-2011 for deposits money banks credits in Nigeria and per capita gross domestic product were analyzed within the framework of Engle-Granger Representation Theorem; the approach estimated a co-integrating regression using the ordinary least square estimator, and then investigated the presence of a co-integration relation by examining the stationarity of the estimated residual series. The findings indicate that credit allocation to the production sector is significantly promoting economic activity. The implication that can be drawn from this study is that to ensure that the banking system performs its role of credit allocation effectively it must channel funds into productive investment and more productive uses; deposit money banks should act as efficient financial intermediaries devoted to allocating resources to the most productive uses.

scholarly journals PENGARUH KOMPETENSI DAN KOMPENSASI TERHADAP KINERJA KARYAWAN

2020 ◽  
Vol 3 (1) ◽  
pp. 58-67
Author(s):  
Yadi Maryadi ◽  
Yulia Misrania
Keyword(s):  
Regression Coefficient ◽  
Employee Performance ◽  
Regression Equation ◽  
Least Square ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Hotel Employees ◽  
Independent Variable ◽  
The City

This study aims to determine the effect of Competence and Compensation on Employee Performance (Case Study on Hotel Employees in the city of Pagar Alam). By using primary data and secondary data, this research uses the Ordinary Least Square method. The results of this study are the findings of the influence of Compensation and Compensation on Employee Performance (Case Study on Hotel Employees in the City of Pagar Alam) can be explained as follows. Based on the Regression analysis in the table above, the constant value α = 38,868 and coefficient b1 =. 083 and b2 = .396, so that the multiple linear regression equation is: Y = 38.868+ 0.083X1 + 0.396X2. The regression equation that has been obtained can be used to predict the value of the independent variable and the dependent variable, as follows: A constant value of 38,868 means that if all independent variables are zero, then the performance of hotel clerks in the city of Pagar Alam is valued at 38,868. Competence (X1) has a regression coefficient of .083 meaning that each increase in Competency by 1 unit then the performance of hotel employees increases by .083 assuming the other factors remain. Compensation (X2) has a regression coefficient of .396 meaning that each increase in compensation is 1 unit, the performance of hotel employees increases by .396. From the determination coefficient table above, it can be seen that the R Square figure is 0.931. This means that the influence between the independent variables with the dependent variable is 93.1% while the remaining 6.9% is influenced by other factors outside the regression model analyzed. From these figures it can be concluded that the influence of the independent variable with the dependent variable is very strong.   Penelitian ini bertujuan untuk mengetahui pengaruh Kompetensi dan Kompensasi terhadap Kinerja Karyawan (Studi Kasus pada Karyawan hotel di Kota Pagar Alam). Dengan menggunakan data primer dan data skunder penelitian ini menggunakan metode Regresi Linear Sederhana (Ordinary Least Square). Adapun hasil Penelitian ini adalah Hasil temuan mengenai pengaruh Komptensi dan Kompensasi terhadap Kinerja Karyawan (Studi Kasus pada Karyawan hotel di Kota Pagar Alam) dapat dijelaskan sebagai berikut. Berdasarkan analisis Regresi pada tabel diatas didapatkan  nilai konstanta α = 38.868 dan koefisien b1 = . 083  dan b2 = .396, sehingga persamaan regresi linier berganda adalah :  Y =  38.868+ 0.083X1 + 0.396X2. Persamaan regresi yang telah diperoleh dapat dipergunakan untuk memprediksi nilai variabel independen dan variabel dependen yaitu sebagai berikut : Nilai konstanta sebesar 38.868 artinya bahwa jika semua variabel independen benilai nol, maka kinerja kayawan hotel di kota Pagar Alam bernilai sebesar 38.868. Kompetensi (X1) mempunyai koefisien regresi sebesar .083 artinya setiap kenaikan Kompetensi sebesar 1 satuan maka kinerja karyawan hotel naik sebesar .083 dengan asumsi faktor-faktor yang lain tetap. Kompensasi (X2) mempunyai koefisien regresi sebesar .396 artinya setiap kenaikan kompensasi sebesar 1 satuan maka kinerja karyawan hotel naik sebesar .396. Dari tabel koefisien determinasi di atas, dapat dilihat bahwa angka R Square sebesar 0.931. Hal ini berarti pengaruh antar variabel independen dengan variabel dependen sebesar 93,1% sedangkan sisanya sebesar 6,9% dipengaruhi oleh faktor-faktor lain di luar model regresi yang dianalisis. Dari angka tersebut dapat diambil kesimpulan bahwa pengaruh antara variabel independen dengan variabel dependen sangat kuat.

scholarly journals DUKUNGAN PEMERINTAH DAERAH, OPTIMALISASI ASSET DAN PROFESIONALISME UNTUK MENINGKATKAN PENDAPATAN ASLI DAERAH (PAD)

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Komang Adi Kurniawan Saputra ◽  
A.A Ketut Jayawarsa ◽  
Putu Budi Anggiriawan
Keyword(s):  
Local Government ◽  
Linear Regression ◽  
Asset Management ◽  
Sampling Technique ◽  
Least Square ◽  
Government Support ◽  
Theoretical Research ◽  
Ordinary Least Square ◽  
Factors Influencing ◽  
The Village

The aim of this research is to examine the factors influencing the original income level of the villages by taking the research location in the villages managing the village fund in Buleleng-Bali Regency. Total number of 129 villages. The number of samples used in this study is equal to the number of population, The sampling technique in this study was total sampling. Meanwhile, to test the hypothesis using multiple linear regression with OLS model (Ordinary Least Square). The results obtained in this study indicate that Local Government Support, Optimalization of Village Asset Utilization and Professionalism of Village Asset Management have a significant effect on original income of the village. The contribution of this theoretical research is to contribute theoretical enrichment that underlies the increase of village original income and its practical contribution, this research can be one of reference for village apparatus, village counselor, and local government in making policy related to asset management or village property

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