scholarly journals Peranan industri sub sektor perhotelan terhadap penyerapan tenaga kerja di Provinsi Jambi

2019 ◽  
Vol 8 (1) ◽  
pp. 1-11
Author(s):  
Christina Maya Lestari ◽  
Zulfanetti Zulfanetti ◽  
Dearmi Artis
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Ordinary Least Squares ◽  
Variable Number ◽  
Minimum Wages ◽  
Occupancy Rate ◽  
Employment Opportunities ◽  
Industrial Labor ◽  
Rate Minimum ◽  
Occupancy Rates

This study aims to determine the effect of Number of Hotels, Number of Rooms, Room Occupancy Rates, Minimum Wages on employment opportunities in Hotels in Jambi Province. This study uses an Ordinary Least Squares (OLS) multiple regression analysis model.Based on the results of the regression analysis, it is known that the variable number of hotels and minimum wages has a significant effect on the level of employment in Jambi Province, while the variable number of rooms and occupancy rates have no significant effect on the employment of industrial labor in the hotel sub-sector in Jambi Province. Keywords: Number of Hotels, Number of Rooms, Occupancy Rate, Minimum Wage, Absorption of Labor.

The Analysis and Forecast of Housing Requirements: Tenure Switching in a Local Housing Market

1981 ◽  
Vol 13 (1) ◽  
pp. 57-64
Author(s):  
R K Wilkinson ◽  
I A Law
Keyword(s):  
Regression Analysis ◽  
Housing Market ◽  
Least Squares ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Local Authority ◽  
Ordinary Least Squares ◽  
Reduced Form ◽  
Annual Number ◽  
Demand Structure

Data collected by a local authority housing department are analysed in order to test a model forecasting the annual number of households moving out into owner occupation. The reduced form of the model is estimated by means of ordinary least squares multiple regression analysis, and the demand structure is estimated by means of two-stage least squares for comparison. Despite problems of autocorrelation the results are sensible and suggest that further work on these lines is likely to be worthwhile not least for a local authority involved in planning the housing requirements of a region.

scholarly journals The impact of government debt on public finance stability in Lithuania

2019 ◽  
Author(s):  
Liucija Birškytė
Keyword(s):  
Public Finance ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Financial Stability ◽  
Government Debt ◽  
Ordinary Least Squares ◽  
Small Sample ◽  
Series Data ◽  
The Impact

Purpose – though the global financial crisis is well behind us several EU countries continue to experience problems with public finance stability and need to cope with the consequences of high public debt. The purpose of the article is to find the relationship between government debt and of public finance stability in Lithuania. Research methodology – in order to achieve the aim of the article Financial Stability Index (FSI) for Lithuania has been created. It is based on theory and previous research. To find the determinants of FSI the multiple regression analysis model was specified and tested using Ordinary Least Squares (OLS). Findings – the results of multiple regression analysis indicate the government debt has a statistically significant impact on FSI, ceteris paribus. Other findings of the research show that profit or loss of the non-financial sector, foreign trade balance as well as a foreign direct investment are significant determinants of public finance stability. Research limitations – one of the limitations of this research is the small sample size that has an impact on the validity and generalizability of the results. Having a longer time-series data or panel data for more countries would improve the robustness and applicability of research results. Practical implications – the results of the research provide guidance to policymakers in the public finance area. Originality/Value − this paper contributes to the scarce literature on government debt and other determinants of financial stability in Lithuania

scholarly journals Analisis Penyerapan Tenaga Kerja Industri Tekstil dan Produk Tekstil di Provinsi Jawa Tengah

2018 ◽  
Vol 7 (4) ◽  
pp. 374-383
Author(s):  
Moch Rizkhi Apriliyanto ◽  
Rusdarti Rusdarti
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Textile Industry ◽  
Secondary Data ◽  
Variable Number ◽  
Research Data ◽  
Central Java ◽  
Production Value ◽  
Central Java Province

Penelitian ini bertujuan untuk menganalisis seberapa besar pengaruh jumlah industri, upah, dan  nilai produksi secara parsial dan simultan terhadap penyerapan tenaga kerja pada industri tekstil dan produk tekstil di Provinsi Jawa Tengah. Data penelitian yang digunakan adalah data sekunder yang diperoleh dari Badan Pusat Statistik Provinsi Jawa Tengah dengan periode tahun 1985-2014. Metode analisis yang digunakan adalah regresi berganda dengan alat bantu analisis yang digunakan eviews 8. Hasil analisis dapat diketahui bahwa upah dan nilai produksi berpengaruh signifikan sedangkan varibel jumlah industri tidak berpengaruh signifikan This study aims to analyze how much influence the number of industries, wages, and production value partially and simultaneously on employment in the textile industry and textile products in Central Java province. The research data used are secondary data obtained from the Central Statistics Agency of Central Java province with the period 1985-2014 which is then processed by using multiple regression analysis with analysis tools used eviews 8. From the analysis it can be seen that the wages and the value of production significantly effected while the variable number of industries had no significantly effected.

Does Crowd Support Drive the Home Advantage in Professional Football? Evidence from German Ghost Games during the COVID-19 Pandemic

2021 ◽  
pp. 152700252110265
Author(s):  
Kai Fischer ◽  
Justus Haucap
Keyword(s):  
Regression Analysis ◽  
Strong Evidence ◽  
Natural Experiment ◽  
Professional Football ◽  
Occupancy Rate ◽  
Home Advantage ◽  
Occupancy Rates

This paper examines the relation between crowd support and home advantage in men’s professional football in making use of a unique “natural experiment” induced by restrictions due to the COVID-19 pandemic: the so-called ghost games in the top three German football divisions at the end of the 2019/2020 season. We find that there is a reduced home advantage in the first division, whereas no change is observed in the second and third divisions. Our regression analysis indicates that the decrease in the home advantage and the heterogeneity across divisions are not sensitive to a variety of performance, location, and team covariates and are best explained through the lower occupancy rate in the stadia. Hence, the decrease in occupancy to zero at the ghost games has been less dramatic for teams that have been used to low occupancy rates. We cannot find strong evidence for a change in referee behavior or teams’ tactics as main impact channels of occupancy rates on the home advantage. Hence, we argue that psychological reasons are of higher importance.

GENDER ANALYSIS OF ASSET DISTRIBUTION AND CHILDREN’S SCHOOLING AMONG RURAL HOUSEHOLDS IN OGUN STATE, NIGERIA

2020 ◽  
Vol 15 (2) ◽  
pp. 27-36
Author(s):  
E. O. OYEDEPO ◽  
C. A. AFOLAMI ◽  
C. A. AFOLAMI ◽  
A. E. OBAYELU
Keyword(s):  
Regression Analysis ◽  
Least Squares ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Rural Households ◽  
Ordinary Least Squares ◽  
Asset Ownership ◽  
Distribution Of Wealth ◽  
Ogun State ◽  
Asset Distribution

There is growing evidence that the gender distribution of wealth matters especially considering the fact that asset ownership is related to wellbeing, women empowerment and poverty alleviation. Not much is known about the gender distribution of wealth in the rural areas in Ogun state, Nigeria. This study assessed gender and asset distribution in Ogun State, South-west Nigeria using cross-sectional data collected from a total of 260 households selected through a five stage sampling procedure. The data were analysed using descriptive statistics and ordinary least squares multiple regression analysis. The findings from the study shows that an average rural household in the sample was made up of six persons and households were predominantly headed by males (88%). The mean worth of households’ physical assets was ₦1,402,791.00, about 15% of which was owned by women. The ordinary least squares multiple regression analysis revealed that women’s share of assets had a positive influence (P<0.05) on the number of years of formal education completed by children below eighteen years. The education of father and mother were also significant at (P < 0.05) and (P < 0.01) respectively and these show that children have longer access to education when parents have at least secondary school education. Some identified constraints to women asset ownership in the study area were lack of capital (67%), domestic challenges (65%), cultural barriers to female inheritance (56%), and unemployment (52%). Based on these findings it is recommended that women should be encouraged to own more assets so as to be able to positively affect their children’s welfare in terms of education. The economic situation of women can be enhanced by promoting their access to productive assets through indigenous savings and credit associations. The rural households should further be exposed to awareness talks through extension agents stressing the values of education to all in our contemporary world.    

Examination of the success drivers of equity crowdfunding campaigns in Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shaista Wasiuzzaman ◽  
Nur Firzanah Suhili
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Design Methodology ◽  
Success Factors ◽  
Positive Impact ◽  
Ordinary Least Squares ◽  
Content Type ◽  
Equity Crowdfunding ◽  
Final Sample ◽  
Text Length

Purpose This study aims to investigate the drivers of successful equity crowdfunding campaigns in Malaysia. Design/methodology/approach Data for this study are collected manually from 5 different equity crowdfunding platforms in Malaysia. A total of 101 campaigns are analyzed, out of which the final sample used for this study is 97. The relationships are analyzed via ordinary least squares multiple regression analysis. Findings The results of the analysis show that minimum funding target, minimum investment required, pre-money valuation and length of pitch video are highly significant in influencing the success of the campaign. Percentage of equity retained is only significant at the 10% level. The size of the project team and the text length of the pitch are found to be insignificant. In addition, all the variables, except for equity retained and the minimum investment required, are found to have a positive impact on the success of an equity crowdfunding campaign in Malaysia. Originality/value To the best of the authors’ knowledge, this is the first study that investigates the success factors of equity crowdfunding campaigns in a developing country such as Malaysia. In addition, this study contributes to the literature on equity crowdfunding success via the inclusion of less-studied variables such as pre-money valuation and minimum investment required.

scholarly journals Determinant of Poverty in Indonesian’s Province: A Review of Public Policy

2019 ◽  
Vol 15 (1) ◽  
pp. 59-80
Author(s):  
Radite Teguh Handalani
Keyword(s):  
Regression Analysis ◽  
Least Squares ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Poverty Alleviation ◽  
Ordinary Least Squares ◽  
Social Aspects ◽  
Poor People ◽  
Related Aspect ◽  
Representative Model

This study aims to analyze poverty which is complex and multidimensional in terms of several aspects: physical and demographic, economic, social and behavioral aspect. However, the study of poverty problems often constrained by incompleteness and data integrity and it causes limitations on variables and aspects to be studied. Unlike some previous studies, the variables examined in this study not only underlie the study of poverty on the economic aspects and the concept of growth. However, this study was also included demographic aspects and physical mastery of resources, social aspects on education and human development index and aspect of behavior (lifestyle). This approach was applied to avoid hinder on poverty alleviation analysis due to data limitation with an adequate spectrum and dimensions so as to produce a representative model in finding determiner of poverty alleviation in Indonesia and its alternative policies. The method used in this study was carried out with a series of tests and multiple regression analysis using the ordinary least squares (OLS) method. Findings from study which used thirteen variables on related aspect of demographic, economic, social and behavioral aspects generated four variables that significantly influence the decline in the number of poor people in Indonesia. Keywords: Poverty Alleviation, Ordinary Least Squares (OLS), Determinant of Poverty, Multiple Regression Analysis   Abstrak Penelitian ini bertujuan untuk melakukan kajian tentang kemiskinan yang bersifat kompleks dan multidimensi ditinjau dari beberapa aspek kehidupan yaitu: aspek fisik dan demografi, ekonomi, sosial dan aspek budaya (perilaku). Namun, kajian masalah kemiskinan, seringkali terkendala oleh ketidaklengkapan dan integritas data sehingga menyebabkan keterbatasan pada variabel dan aspek yang hendak diteliti. Berbeda dengan beberapa penelitian sebelumnya variabel yang dikaji dalam penelitian ini tidak hanya melandasi kajian tentang kemiskinan hanya pada aspek ekonomi dan konsep pertumbuhan. Namun penelitian ini juga memasukan aspek demografi dan penguasan fisik sumber daya, aspek sosial berupa pendidikan dan indeks pembangunan manusia dan aspek perilaku (gaya hidup). Pendekatan ini dilakukan dengan tujuan agar keterbatasan data tidak menghalangi analisis tentang upaya pengentasan kemiskinan dengan spektrum dan dimensi yang memadai, sehingga dapat menghasilkan model yang representatif dalam menemukan variabel determinan dalam pengentasan kemiskinan di Indonesia beserta alternatif kebijakannya. Metode yang digunakan dalam penelitian ini dilakukan dengan serangkaian pengujian dan analisis regresi berganda menggunakan metode ordinary least squares (OLS). Temuan dalam penelitian yang menggunakan 13 variabel yang terkait aspek demografi, ekonomi, sosial dan perilaku terdapat empat variabel berpengaruh signifikan terhadap penurunan jumlah penduduk miskin di Indonesia. Kata Kunci: Pengentasan Kemiskinan, Ordinary Least Squares (OLS), Determinant of Poverty, Regresi Berganda

scholarly journals Faktor – Faktor Yang Mempengaruhi Pendapatan Asli Daerah ( PAD ) Pariwisata di Kabupaten Hulu Sungai Utara

2019 ◽  
Vol 2 (2) ◽  
pp. 61-66
Author(s):  
Azmy Pratama ◽  
Rizali Rizali
Keyword(s):  
Least Squares Method ◽  
Ordinary Least Squares ◽  
Regional Government ◽  
Occupancy Rate ◽  
Population Number ◽  
Tourism Sector ◽  
The Government ◽  
Role Of The Government ◽  
Occupancy Rates

Abstract - Hulu Sungai Utara Regency is one of the regencies in South Kalimantan which has potential in tourism sector because it has a large number of tourism objects. In fact, this potential has not been able to significantly increase the region original revenue of tourism sector in a significant number. This study aims to determine the influences of population, hotel occupancy rates, and number of tourists to the region original revenue (PAD) of tourism sector in Hulu Sungai Utara Regency. This study use the types and the data sources of quantitative approach in analyzing the influence of Population Number (X1), Hotel Occupancy Rate (X2) and Number of Tourists (X3) to the Region Original Revenue of Tourism Sector in Hulu Sungai Utara Regency in 2008-2018. The method of data analysis using the Ordinary Least Squares method ( OLS). The analysis of this model uses the computer program tools of Eviews 9. The conclusion of this study shows that the population and hotel occupancy rates influence the region original revenue of tourism sector in Hulu Sungai Utara Regency. In contrary, the number of tourists does not affect the region original revenue of tourism sector in Hulu Sungai Utara Regency. The low number of tourists visiting the Sungai Hulu Utara Regency is caused by the role of the government is not optimal in managing tourism objects. Related to this study, it is recommended that the Regional Government of Sungai Hulu Utara Regency can increase tourism promotion and make improvements to various tourist objects facilities. In addition, it is also recommended that the souvenir shops should be built to increase region original revenue of tourism in Sungai Hulu Utara Regency. Keywords: Population, Hotel Occupancy Rate, Number of Tourits, Region Regional Revenue of Tourism Sector

Analisis penyerapan tenaga kerja sektor industri dan faktor-faktor yang mempengaruhinya di Provinsi Jambi

2021 ◽  
Vol 9 (1) ◽  
pp. 13-22
Author(s):  
Redi Hermansyah ◽  
Arman Delis ◽  
Etik Umiyati
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Minimum Wage ◽  
Industrial Sector ◽  
Variable Number ◽  
T Test ◽  
Minimum Wages ◽  
F Test ◽  
Panel Data Regression ◽  
Data Regression

This study aims to: 1) To analyze the development of industrial sector GRDP, UMP, and the number of companies in Jambi Province. And 2) To analyze what factors influence the absorption of labor in the industrial sector in Jambi Province by using panel data regression analysis tools. Based on the development of the GRDP of the industrial sector and the provincial minimum wage, it continues to increase every year, as well as the variable number of companies that fluctuates every year. Based on the results of the F test, it can be concluded that the GRDP of the industrial sector, the provincial minimum wage, and the number of companies jointly have a significant effect on employment in the industrial sector because the probability is less than 0.001. Based on the results of the t-test, it can be concluded that the variables that affect employment in the industrial sector are the GRDP of the industrial sector and the number of companies because the probability is less than 0.05.  Keywords: Absorption of labor in the industrial sector, GDP, Provincial minimum wages and number of companies.

Pengaruh Citra Merek, Kualitas Produk Dan Harga Terhadap Kepuasan Konsumen Pada Bisnis Franchise Minuman

2017 ◽  
Vol 24 (2) ◽  
pp. 144-153
Author(s):  
Yunita Fitri Wahyuningtyas
Keyword(s):  
Regression Analysis ◽  
Marketing Strategy ◽  
Product Quality ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Sampling Method ◽  
Sampling Technique ◽  
Sampling Process ◽  
And Function ◽  
Simultaneous Influence

This research is conducted upon the emergence of many companies producing the same product of the same kind and function. It leads to the urgency of proper and well planned marketing strategy. This research aims to investigate how far the influence of branding, product quality, and price toward consumer’s satisfaction in beverage franchise business. This research utilizes 5 likert scale questionnaire which is tested by using multiple regression analysis to reveal whether or not there is partial and simultaneous influence of branding, product quality, and price toward consumer’s satisfaction in beverage franchise business. Sampling method is accidental sampling technique, in which sample of particular population is taken based on the accessibility and availability of the sample during the sampling process. Sample used is 100 samples among consumers or customers of Mang Endy Milkshake. The result shows that branding, product quality, and price influence consumer’s satisfaction in beverage franchise business.

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