scholarly journals Mirroring To The Greek’s Tourism after Economy Crisis: The Effect of Tourism Sector to Bangka Belitung GDRP

2018 ◽  
Vol 2 (2) ◽  
pp. 185
Author(s):  
Royhan Faradis ◽  
Uswatun Nurul Afifah
Keyword(s):  
Economic Growth ◽  
Regression Model ◽  
Economic Problem ◽  
Tourism Management ◽  
High Dependency ◽  
Tourism Sector ◽  
Sea Sand ◽  
Simple Regression Model ◽  
Of Greece ◽  
Simple Regression

High dependency on tin mining is an economic problem in Bangka Belitung Islands province. The peak came after the issuance of tin mining restriction law almost a decade ago, hence Bangka Belitung is currently experiencing a slowdown in the rate of economic growth on an ongoing basis. One way out of this economic problem is to rely on tourism, since the demographically and geographically Bangka Belitung is a world tourist paradise. However, bad tourism management will actually increase development losses. Therefore, this paper will discuss the influence of Bangka Belitung tourism on its economy if tourism were a leading sector as applied in Greece in recent years. In addition, the characteristics of Greece, Santorini in this case, is not much different from Bangka Belitung Islands. In getting the answer from this problem, two methods of analysis are done, namely the Strength, Weakness, Opportunity and Threat (SWOT) table and the formation of simple regression model related to tourism and economy of Bangka Belitung. The results obtained shows that Bangka Belitung's economy will grow positively due to its tourism influence, and with similar characteristics of Bangka Belitung with Santorini then the “4S tourism policy” (sun, sea, sand and seafood) can be applied in Bangka Belitung.

scholarly journals Kontribusi Sektor Pertanian dan Pengaruhnya Terhadap Perekonomian Daerah Provinsi Jambi

2019 ◽  
Vol 4 (1) ◽  
pp. 96
Author(s):  
Albetris Albetris
Keyword(s):  
Economic Growth ◽  
Regression Model ◽  
Confidence Level ◽  
Agricultural Sector ◽  
Regression Coefficient ◽  
Secondary Data ◽  
Large Contribution ◽  
Simple Regression Model ◽  
First Results ◽  
Simple Regression

The purpose of this research is to find out and analyze the large contribution of the agricultural sector to the economy of the regional province of Jambi and influence the agricultural sector against economic growth the province of Jambi. The object of the research is done in the agricultural sector, economic growth and GDP Jambi province. The data used in this research is the secondary data, this research are deskriptive quantitative, quantitative formulation can answer twist of the problem. The first results showed a contribution of the agricultural sector to the total GDP Jambi province for 13 years (in 2006 – the year 2018) that ranges from 25.12% to 27.44%, the greatest contribution took place in 2008, namely of 27.44% . Meanwhile, the contribution of the agricultural sector to the total GDP the lowest occurred in the year 2015, namely of 25.12%. the median contribution in sub sectors of the fishery towards the agricultural sector amounted to 26.19%. and the second results of the estimation of simple regression model shows a positive regression coefficient i.e. Y = 1.033 + 0340 X. This showing that the higher growth in the agricultural sector, it will spur economic growth in the province of Jambi 2005-2017 with the R-square of 99.10% with a confidence level significance alfa = 5%, that influence the agricultural sector very convincing. And 0.90% influenced by other factors.

scholarly journals The Relationship between Foreign Direct Investment and Inflation: Econometric Analysis and Forecasts in the Case of Sri Lanka

2019 ◽  
Vol 12 (2) ◽  
pp. 44 ◽  
Author(s):  
A. M. M. Mustafa
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Sri Lanka ◽  
Regression Model ◽  
Growth And Development ◽  
Direct Investment ◽  
Economic Growth And Development ◽  
Simple Regression Model ◽  
Independent Variable ◽  
Simple Regression

There are several reasons why the dynamic interaction between FDI and inflation must be studied. First, Foreign Direct Investment is found as one of the important determinants of the process of economic growth and development of Sri Lanka. Therefore, the literature empirically examining the causal relationship between the inflation and FDI is significant because the rate of high inflation affects the inflows of FDI inflows into the economy of Sri Lanka and slows down the process of economic growth and development. The main objective of this study is to examine the linkages between FDI and inflation in Sri Lanka for the time periods from year 1978 to year 2017. The dependent variable of the model used in this study is Inflation and the independent variable of the model is FDI (Foreign Direct Investment). The data used in the model are the annual time series collected from Annual Report of Central Bank of Sri Lanka. The tools to analyze the data are graphical representation, Johansen Co-integration test, simple regression model, Residual Analysis, Stability Test, and Granger Causality Test. A long run relationship is found between the variables. The dependent variable: INF – Inflation is inversely related with the independent variable: FDI – Foreign Direct Investment. One-way causal relationship from FDI to INF is ensured. The forecast sample is ranged from 2009 to 2017. The simple regression model affirms the significant impacts of the FDI – Foreign Direct Investment on the INF – Inflation. The forecasting model derived from the simple regression model is rather incompatible to forecast the value of dependent variable (Inflation).

Face Gear Width Prediction Using the DOE Method

2008 ◽  
Vol 130 (10) ◽  
Author(s):  
Michèle Guingand ◽  
Didier Remond ◽  
Jean-Pierre de Vaujany
Keyword(s):  
Regression Model ◽  
Simple Formula ◽  
Design Parameters ◽  
Face Gear ◽  
Main Design ◽  
Gear Design ◽  
Simple Regression Model ◽  
Numerical Tool ◽  
Influential Parameters ◽  
Simple Regression

This paper deals with face gear design. The goal is to propose a simple formula for predicting the width of the wheel as a function of the main design parameters. A specific software was used to achieve this goal. This numerical tool is able to simulate the geometry and the quasistatic loaded behavior of a face gear. The statistical method used for analyzing the influence of data is described: The design of experiments leads to a simple regression model taking into account the influential parameters and their couplings. In the last part of this paper, the results of the formulas are compared to those of the software and an optimal design is proposed based on the regression model.

scholarly journals PENGARUH TATA KELOLA PEMERINTAH DAERAH TERHADAPTRANSPARANSI PENGELOLAAN KEUANGAN DAERAH: BUKTI EMPIRIS PADA PEMERINTAH PROVINSI DI INDONESIA

2017 ◽  
Vol 21 (3) ◽  
pp. 448
Author(s):  
Syamsul Syamsul ◽  
Irwan Taufiq Ritonga
Keyword(s):  
Corporate Governance ◽  
Regression Model ◽  
Financial Management ◽  
Local Governments ◽  
Environmental Governance ◽  
Local Governance ◽  
Government Officials ◽  
Simple Regression Model ◽  
Simple Regression

This study developed a research Beekes and Brown (2006) who found that corporate governance makes companies more informative (more transparent). This study aims to prove whether the same results were also found in environmental governance in Indonesia. The theory is used to achieve the goal of this research is the theory of agency. This research was conducted in 32 local governments in Indonesia. Based on a simple regression model, this study shows that local governance affects positively the transparency of local financial management. Such findings reinforce previous research. The findings of this study provide a useful contribution to government officials (executive and legislative), in demonstrating the important role of local governance in encouraging the transparency of local financial management. In addition, the findings of this study can be used as the basis for further research related to the topic of local governance and transparency of local financial management.

PENGARUH LABEL HALAL TERHADAP KEPUTUSAN MASYARAKAT MEMBELI PRODUK MAKANAN DAN MINUMAN (Studi Kasus Lingkungan VI Kelurahan Nangka Binjai Utara)

2020 ◽  
Vol 5 (2) ◽  
pp. 354
Author(s):  
Raja Sakti Putra Harahap
Keyword(s):  
Regression Model ◽  
Quantitative Method ◽  
Statistical Tests ◽  
A Value ◽  
Regression Formula ◽  
Simple Regression Model ◽  
Food And Beverage ◽  
R Value ◽  
Positive Effect ◽  
Simple Regression

This study aims to determine how the effect of the halal label on people’s decisions to buy food and beverage products. The method used is a quantitative method with a simple regression model and using statistical tests with the help of IBM SPSS Statistics 22 for windows. The sample in this study is the neighborhood community VI Nangka Village as many as 70 respondents. The results showed that the calculated r value was 0,79, so it could be saidthat there was s relationship or correlation between the variables X (Halal Label) with the variable Y ( The decision to buy food and beverage products). Then the t value < t table, which has a value of 0,657 < 1,668. Then  is accepted and  is rejected, which means that partially (X) variable does not have a significant effect on variable (Y), where the results of the hypothesis are accepted and proven after being calculated using a simple regression formula, namely Y = 34,7 + 0,67X.  By having a regression coefficoent of 0,675%, so the halal label has a positive effect on decisions to buy food and beverage products.

scholarly journals An Evaluation of Alternative Multiple Testing Methods for Finance Applications*

2020 ◽  
Vol 10 (2) ◽  
pp. 199-248 ◽  
Author(s):  
Campbell R Harvey ◽  
Yan Liu ◽  
Alessio Saretto
Keyword(s):  
Regression Model ◽  
Multiple Testing ◽  
Empirical Finance ◽  
Relative Performance ◽  
Testing Methods ◽  
Multiple Tests ◽  
High Profile ◽  
Simple Regression Model ◽  
Testing Environments ◽  
Simple Regression

Abstract In almost every area of empirical finance, researchers confront multiple tests. One high-profile example is the identification of outperforming investment managers, many of whom beat their benchmarks purely by luck. Multiple testing methods are designed to control for luck. Factor selection is another glaring case in which multiple tests are performed, but numerous other applications do not receive as much attention. One important example is a simple regression model testing five variables. In this case, because five variables are tried, a t-statistic of 2.0 is not enough to establish significance. Our paper provides a guide to various multiple testing methods and details a number of applications. We provide simulation evidence on the relative performance of different methods across a variety of testing environments. The goal of our paper is to provide a menu that researchers can choose from to improve inference in financial economics. (JEL G0, G1, G3, G5, M4, C1)

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