scholarly journals Determinants of Rice Productivity: An Analysis of Jaffarabad District –Balochistan (Pakistan)

2016 ◽  
Vol 12 (13) ◽  
pp. 41 ◽  
Author(s):  
Sarfaraz Ahmed Shaikh ◽  
Ouyang Hongbing ◽  
Khalid Khan ◽  
Masood Ahmed
Keyword(s):  
Agricultural Production ◽  
Empirical Work ◽  
Least Square ◽  
Farm Size ◽  
Primary Data ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Labor Education ◽  
New Methods ◽  
Positive Effect

This study examines the determinants of rice production in the district of Jaffarabad in Balochistan using primary data. The data is collected with the help of well-developed questionnaire based on random sampling from the different tehsils of Jaffarabad district. In this study, we estimated the parameters of the Neo-classical and Cobb-Douglas production function with the help of ordinary least square (OLS) method. The results of this empirical work show that with the exception of experience of farmers and high cost of the inputs, all explanatory variables i.e. capital, labor, education of the farmers, availability of credit and farm size have a positive effect on rice output. Therefore, government is recommended to encourage farmers to use fertilizers and new methods in agricultural production and watering, and provide them with convenient loans at low interest rate.

scholarly journals Analisis Faktor-Faktor yang Memengaruhi Produktivitas Tenaga Kerja (Studi Kasus pada Usaha Roti Donat Eve Bakery di Palembang)

2020 ◽  
Vol 11 (1) ◽  
pp. 40
Author(s):  
Andini Utari Putri
Keyword(s):  
Labor Productivity ◽  
Work Experience ◽  
Regression Coefficient ◽  
Working Hours ◽  
Least Square ◽  
Primary Data ◽  
Analysis Model ◽  
Ordinary Least Square ◽  
Productivity Data ◽  
Positive Effect

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>ABSTRACT</span></p><p><span>This study aims to investigate the effect of factors of wages, working hours and work experience on labor productivity. This study uses primary data taken directly to the object of research in the form of productivity data generated by the workforce, the level of wages obtained, hours worked, and work experience owned by the workforce and also the level of education owned by the workforce. To estimate the factors that affect labor productivity, the analysis model used is ordinary least square (OLS) regression analysis. The results showed that the wage variable had a positive and significant effect on labor productivity in the Eve Bakery donat business with a coefficient of 1.1628 = 5%. Regression coefficient of 1.1628, meaning that if there is an increase in the wage level of 1% it will increase labor productivity by 1.1628. Work hours variable has a positive effect on labor productivity by 0.6784, which means that if working hours increase by 1%, the level of labor productivity will increase by 0.6784%. The work experience variable also has a positive effect on labor productivity by 0.1255, which means that if this workforce experience increases by 1% it will increase the level of labor productivity by 0.1255%.</span></p><p><span>Keywords: </span><span>Productivity, Workforce, Wages, Experience </span><span>ABSTRAK</span></p><p><span>Penelitian ini bertujuan untuk menginvestigasi pengaruh faktor upah, jam kerja dan pengalaman kerja terhadap produktivitas tenaga kerja. Penelitian ini menggunakan data primer yang diambil secara langsung ke objek penelitian berupa data produktivitas yang dihasilkan tenaga kerja tersebut, tingkat upah yang diperoleh, jam kerja yang digunakan, dan pengalaman kerja yang dimiliki tenaga kerja tersebut dan juga tingkat pendidikan yang dimiliki tenaga kerja tersebut. Untuk mengestimasi faktor-faktor yang mempengaruhi produktivitas tenaga kerja, model analisis yang digunakan adalah analisa regresi berganda atau ordinary least square (OLS). Hasil penelitian menunjukkan Variabel upah berpengaruh positif dan signifikan terhadap produktivitas tenaga kerja pada usaha roti donat Eve Bakery dengan nilai koefisien 1,1628= 5%. Nilai koefisien regresi sebesar1,1628, artinya bila terjadi panambahan tingkat upah sebesar 1% maka akan meningkatkan produktivitas tenaga kerja sebesar 1,1628. Variabel jam kerja berpengaruh positif terhadap produktivitas tenaga kerja sebesar 0,6784, yang artinya bila jam kerja bertambah 1% maka tingkat produktivitas tenaga kerja akan naik sebesar 0,6784%</span><span>. </span><span>Variabel pengalaman kerja juga berpengaruh positif terhadap produktivitas tenaga kerja sebesar 0,1255, yang artinya bila pengalaman tenaga kerja ini bertambah 1% maka akan menaikkan tingkat produktivitas tenaga kerja sebesar 0,1255 %.</span></p></div></div><img src="blob:http://ejournal.uigm.ac.id/73de3ab7-a2d7-4970-aeaf-501b376f87f8" alt="page1image32027200" width="77.040000" height="0.480000" /><div class="layoutArea"><div class="column"><p><span>Kata Kunci: </span><span>Produktivitas, Tenaga Kerja, Upah, Pengalaman</span></p></div></div></div>

scholarly journals Factors that Influence the Productivity of Green Bean Farming in Demak District

2019 ◽  
Vol 2 (1) ◽  
pp. 369-375
Author(s):  
Ufi Muflihah
Keyword(s):  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Green Bean ◽  
Primary Data ◽  
Significant Positive Effect ◽  
Green Beans ◽  
Ordinary Least Square ◽  
Positive Effect

Demak regency is the center of green bean however, the productivity of green beans in Demak Regency has decreased during 2009-2016. The aims of study is determine the effect of land area, seeds, labor, fertilizer, pesticides on the productivity of green beans. This type of research is quantitative research. The data used was primary data. The population in this study is that farmers in Demak Regency with samples of mung bean farmers in Demak Regency totaled 100 people. The analytical method uses descriptive analysis and multiple linear regression analysis with the Ordinary Least Square (OLS) method through the Cobb-Douglas production function model. From the results of this study showed that area of land, fertilizer, pecticides have a significant positive effect on the productivity of green beans which every increase in labor will reduce productivity of green beans, while the seeds have no significant positive effect on the productivity of green beans which increase in the number of seeds does not affect the productivity of green beans. The suggestion of this reserach are that the unused area further improved itd use, the seeds are planted with better planting methods that will is not easily damaged by the weather, there should be a division of labor in green bean farming so that the workers can work productively, the intensity of spraying fertilizers can be improved to increase green bean production, the intensity of spraying of pesticides can be increased to minimize the harvest of crops. Kabupaten Demak adalah pusat kacang hijau, namun produktivitas kacang hijau di Kabupaten Demak mengalami penurunan selama 2009-2016. Tujuan penelitian adalah mengetahui pengaruh luas lahan, benih, tenaga kerja, pupuk, pestisida terhadap produktivitas kacang hijau. Jenis penelitian ini adalah penelitian kuantitatif. Data yang digunakan adalah data primer. Populasi dalam penelitian ini adalah petani di Kabupaten Demak dengan sampel petani kacang hijau di Kabupaten Demak berjumlah 100 orang. Metode analisis menggunakan analisis deskriptif dan analisis regresi linier berganda dengan metode Ordinary Least Square (OLS) melalui model fungsi produksi Cobb-Douglas. Dari hasil penelitian ini menunjukkan bahwa luas lahan, pupuk, pektisida berpengaruh positif signifikan terhadap produktivitas kacang hijau dimana setiap peningkatan tenaga kerja akan menurunkan produktivitas kacang hijau, sedangkan benih tidak berpengaruh positif signifikan terhadap produktivitas tanaman hijau. kacang hijau yang meningkatkan jumlah biji tidak mempengaruhi produktivitas kacang hijau. Saran dari penelitian ini adalah agar daerah yang tidak digunakan semakin ditingkatkan penggunaannya, benih ditanam dengan metode penanaman yang lebih baik sehingga tidak mudah rusak oleh cuaca, harus ada pembagian kerja dalam pertanian kacang hijau sehingga para pekerja dapat bekerja Secara produktif, intensitas penyemprotan pupuk dapat ditingkatkan untuk meningkatkan produksi kacang hijau, intensitas penyemprotan pestisida dapat ditingkatkan untuk meminimalkan panen tanaman

A Consuequence of Statisfaction and Loyalty: How Brand nd Purchase Intention Affect Its (An empirical study of Bengkulu)

2020 ◽  
Vol 7 (2) ◽  
pp. 61-70
Author(s):  
Fachri Eka Saputra ◽  
Fedyah Anggriani
Keyword(s):  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Purchase Intention ◽  
Partial Least Square ◽  
Least Square ◽  
Primary Data ◽  
Price Fairness ◽  
Online Questionnaire ◽  
Positive Effect ◽  
Descriptive Method

The purpose of this study as to determine how the effect of waterpark image and price fairness on customer satisfaction and its implications for customer loyalty at Waterpark Wahana Surya Bengkulu. The measurement of this study uses 14 indicator items which are distributed using an online questionnaire. The number of samples in this study were 136 respondents and the data were analyzed using SEM PLS (Partial Least Square). Date were collected using a questionnaire using a Likert scale. This research used descriptive method with a quantitative approach. The type of data used in this study is primary data. The results of this study prove that 1. waterpark image has a positive effect on price fairness, 2. Waterpark image has a positive effect on customer satisfaction, 3. Fairness of price has a positive effect on customer satisfaction, 4. Waterpark image has a positive effect on customer loyalty, 5. Fairness of price has a positive effect on customer loyalty, 6. Customer satisfaction has no effect on customer loyalty.

scholarly journals Estimating a global demand model for soybean traffic through the Panama Canal

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Javier Ho ◽  
Paul Bernal
Keyword(s):  
Pacific Northwest ◽  
Least Square ◽  
Panama Canal ◽  
Demand Model ◽  
Department Of Agriculture ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Global Demand ◽  
Alternative Routes ◽  
The U.S

AbstractThis study attempts to fit a global demand model for soybean traffic through the Panama Canal using Ordinary Least Square. Most of the soybean cargo through the interoceanic waterway is loaded on the U.S. Gulf and East Coast ports -mainly destined to East Asia, especially China-, and represented about 34% of total Panama Canal grain traffic between fiscal years 2010–19. To estimate the global demand model for soybean traffic, we are considering explanatory variables such as effective toll rates through the Panama Canal, U.S. Gulf- Asia and U.S. Pacific Northwest- Asia freight rates, Baltic Dry Index, bunker costs, soybean export inspections from the U.S. Gulf and Pacific Northwest, U.S. Gulf soybean basis levels, Brazil’s soybean exports and average U.S. dollar index. As part of the research, we are pursuing the estimation of the toll rate elasticity of vessels transporting soybeans via the Panama Canal. Data come mostly from several U.S. Department of Agriculture sources, Brazil’s Secretariat of Foreign Trade (SECEX) and from Panama Canal transit information. Finally, after estimation of the global demand model for soybean traffic, we will discuss the implications for future soybean traffic through the waterway, evaluating alternative routes and sources for this trade.

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 Agriculture, Manufacturing and Economic Growth in Nigeria

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Atayi Abraham Vincent ◽  
Keyword(s):  
Government Spending ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Research Work ◽  
Least Square Method ◽  
Least Square ◽  
Ordinary Least Square ◽  
Positive Effects ◽  
The Government ◽  
Positive Effect

This research work address the positive effect of Agriculture on the manufacturing sector in Nigeria. The study made used of Ordinary Least Square Method estimation techniques. The findings showed that Agricultural output, government spending on agriculture, and real gross domestic product all have positive effects on the manufacturing sector. The effects is RGDP 66percent, AGRQ by 63%, and GOEXA by 96 percent. The study recommends among other things that government should allocate more resources to the Nigerian agricultural sector and ensure that the funds are judiciously use and that the government should also seek to strengthen its incentives for the manufacturing sector in order to promote increased industrial production and growth.

scholarly journals PENGARUH PENDIDIKAN, JUMLAH JAM KERJA, UMUR TERHADAP UPAH TENAGA KERJA DISABILITAS DI SUMATERA BARAT

2019 ◽  
Vol 1 (3) ◽  
pp. 863
Author(s):  
Salwa Nabila Putri ◽  
Ariusni Ariusni
Keyword(s):  
Work Experience ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Research Use ◽  
Ordinary Least Square ◽  
Negative Effect ◽  
Disabled Workers ◽  
Positive Effect ◽  
Research Show

This study aims to find out determine of wages for disabled workers in Sumatera Barat. This research use cross section with 481 samples. The variables used are wage for disabled workers,education, number of hours worked, age, work experience, type of work. This research’s methods used Ordinary Least Square (OLS) Multiple linear regression analysis. This research show education, number of work, work experience  had significanlly positive effect on wage for disabled workers in Sumatera Barat. Type of work has significanlly negative effect on wage for disabled worker, age had nonsignificanly positive effect on wage for disabled.

scholarly journals Pengaruh umur, pendidikan, upah, keterampilan, dan jenis kelamin terhadap lama mencari kerja bagi pekerja terdidik di Kota Jambi (studi kasus Kecamatan Kota Baru dan Telanaipura)

2020 ◽  
Vol 9 (1) ◽  
pp. 1-12
Author(s):  
Cici Swarsih ◽  
Junaidi Junaidi ◽  
Rosmeli Rosmeli
Keyword(s):  
Sampling Method ◽  
Least Square Method ◽  
Total Sample ◽  
Least Square ◽  
Primary Data ◽  
Wage Level ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
And Gender ◽  
Multistage Sampling

This study aims to analyze the characteristics of educated workforce and to determine the effect of variables of age, education, wage level, skills and gender on duration of looking for work by educated worker in Jambi City. The data used in this study are primary data obtained from questionnaires and direct interviews with a total sample of 110 respondents. Sampling in this study uses a multistage sampling method that is sampling in stages. Data analysis methods used are descriptive and quantitative analysis. The analytical tool used is the OLS (Ordinary Least Square) method. The results of this study indicate that the independent variables simultaneously have a significant effect on duration of looking for work. Partially the variables of age, education, wage level have a significant effect on duration of looking for work, while the skills and gender variables have no significant effect on the duration of looking for work.

scholarly journals The Factors Affecting Land Prices In Housing Location In Sidoarjo Regency

2017 ◽  
Vol 1 (1) ◽  
pp. 37-47
Author(s):  
Partomi Simangunsong ◽  
Arasy Alimudin ◽  
Muh. Barid Nizaruddin Wajdi
Keyword(s):  
Residential Location ◽  
Least Square ◽  
City Center ◽  
Sale Price ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Road Width ◽  
Log Linear ◽  
Road Distance

The need for residential location is one of the basic needs of the community and the attractiveness of the residential location is a unique feature where this feature is not made by the respective occupants, but by external factors from the residential environment in the area. This study aims to analyze the factors that are considered as the basis that affect the price of land. This research uses quantitative approach with associative research method. Linear analysis with quadratic method. Ordinary Least Square (OLS). From the analysis of this research model obtained log-linear F-accounting 70,162 while the value of F-table (0,05; 5,48) is 2,45. because F-count> F-table, Ho means rejected and explanatory variables include Distance to city center, Distance to main road, Distance to toll gate, Road width, and security simultaneously can be explained significantly at land sale price.

scholarly journals Determinants of Household Debt in Malaysia from the year 2010 to 2017

2019 ◽  
Vol 5 (2) ◽  
pp. 91
Author(s):  
Zahariah Mohd Zain ◽  
Nurul Ainun Ahmad Atory Ahmad Atory ◽  
Sarah Amirah Hanafi
Keyword(s):  
Positive Relationship ◽  
Negative Relationship ◽  
Housing Price ◽  
Least Square ◽  
Household Debt ◽  
Macroeconomic Variables ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Lending Rate

Household debt has become an issue in the Malaysian economy as it affects the country socially and economically.This study aims to examine the determinants of household debt from the year 2010 until 2017. This study employs the Ordinary Least Square (OLS) method and the macroeconomic variables used in this study are Gross Domestic Product (GDP), base lending rate, unemployment and housing price as independent variables. The results indicate that the trend of household debt in Malaysia has shown a continuous rise from the year 2010 to 2017. GDP, base lending rate and housing price indicate a positive relationship towards household debt while unemployment shows a negative relationship to household debt in Malaysia. All explanatory variables have shown a significant relationship except for GDP. Housing price has been found to be the most significant factor and positively related to household debt. The findings indicate that the higher the price of houses, the higher the household debt will be.

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