scholarly journals ANALISIS PRODUKSI SAYURAN DALAM RANGKA PEMENUHAN KONSUMSI SAYURAN DI KOTA PEKANBARU PROVINSI RIAU

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Elinur Djaimi
Keyword(s):  
Percent Level ◽  
Estimation Method ◽  
Least Square ◽  
Policy Implications ◽  
Dominant Factor ◽  
Vegetable Production ◽  
Ordinary Least Square ◽  
Multi Stage ◽  
The Government ◽  
The City

Demand vegetables in the city of Pekanbaru increased, but relatively similar vegetable production and a tendency to decline. This study aimed to analyze the dominant factors that determine the production of vegetables and return to scale of vegetables in Pekanbaru. Sampling metode was multi-stage random sampling with a sample of 44 vegetable farmers. The production function used is function cobb douglas with the estimation method  Ordinary Least Square (OLS). Results of this researh revealed that, first: The dominant factor affecting vegetable production is labor, seed and fertilizer urea at 5 percent level of convidence and determination coefficient of 93.40 percent. Second, return to scale of vegetable farming was Decreasing Return to Scala (DRTS). This means that if the factorsof production increased by 1 percent, the production of vegetables will increase by 0.985 percent. Third, the policy implications that must be done by the government in order to meet the demand of vegetables for the city of Pekanbaru made efforts to increase intensification.

School Catchment Zone Mergers and Housing Wealth Redistribution

2021 ◽  
pp. 0739456X2110067
Author(s):  
Siu Kei Wong ◽  
Kuang Kuang Deng
Keyword(s):  
School Quality ◽  
Housing Prices ◽  
Estimation Method ◽  
Policy Implications ◽  
Housing Wealth ◽  
Housing Values ◽  
Wealth Redistribution ◽  
The Government ◽  
Empirical Design

This study investigates how perceived school quality affects housing values, using a new estimation method. Our empirical design takes advantage of the mergers of school catchment zones initiated by the government to develop quasi-experiments. We find that, in zones that gained sudden access to higher ranked schools, housing prices increased by 1.3 to 4.1 percent. Larger and more expensive houses appreciated more in response to the improvement in perceived quality of available schools. The findings generate important policy implications regarding housing wealth redistribution and housing expenditures among different households. The study also enriches the literature on the capitalization effect of school quality.

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 Banking Sector Development, Inflation and Economic Growth in Asian Countries: A Panel Causality and Co-Integration Approach

2018 ◽  
Vol 8 (4) ◽  
pp. 384
Author(s):  
Muhammad Imran Nazir ◽  
Rehana Tabassam ◽  
Ifran Khan ◽  
Muhammad Rizwan Nazir
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Vital Role ◽  
Least Square ◽  
Policy Implications ◽  
Asian Countries ◽  
Ordinary Least Square ◽  
Long Run ◽  
Banking Sector Development ◽  
Integration Test

This study investigates the causal relationship between banking sector development, inflation, and economic growth for six Asian countries (Bangladesh, China, India, Malaysia, Pakistan and Sri Lanka) over the period of 1970-2016. Using a Pedroni panel, Kao co-integration test, Panel Granger causality-based Error Correction Model, Dynamic ordinary least square (DOLS), and Fully modified ordinary least square (FMOLS), this study finds that the development of the banking sector generally has a positive relationship with economic growth in the long-run. This results show that in the long-run, monetary policy play a vital role in the economic growth. This study also confirmed the response causality between the indicators of banking sector development and economic growth. Based on the empirical findings, this research provides important policy implications to the banking sector and economic supervisory bodies in order to achieve the long run economic growth.

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 KAJIAN METODE ORDINARY LEAST SQUARE DAN ROBUST ESTIMASI M PADA MODEL REGRESI LINIER SEDERHANA YANG MEMUAT OUTLIER

2020 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
Zahrotul Aflakhah ◽  
Jajang Jajang ◽  
Agustini Tripena Br. Sb.
Keyword(s):  
Full Article ◽  
Regression Model ◽  
Sample Size ◽  
Regression Models ◽  
Estimation Method ◽  
Ordinary Least Squares ◽  
Least Square ◽  
Simple Linear Regression ◽  
Ordinary Least Square ◽  
M Estimation

This research discusses about the Ordinary Least Squares (OLS) method and robust M-estimation method; compare between the Tukey bisquare and Huber weighting from simple linier regression models that contain outliers. Data are generated through simulation with the percentages of outliers and sample sizes. Each data will be formed into a simple linier regression model, then the percentage of outliers, RSE and MAD values are calculated. The results show that RSE and MAD values produced by a simple linear regression model with the OLS method are influenced by the percentage of outliers. However, the regression model of robust M-estimation with sample size 30, 60, 90, 120, and 150 results an unstable RSE values with the change of the percentage of outlier and the MAD values that are not affected by the percentage of outliers and sample size. The robust M-estimation method with Tukey Bisquare weighting is as good as the Huber weighting. Full Article

scholarly journals Pengaruh Penyesuaian Harga Jual Bahan Bakar Minyak (BBM) Tehadap Konsumsi BBM dan Inflasi

2020 ◽  
Vol 4 (2) ◽  
pp. 165-182
Author(s):  
Aep soleh Soleh
Keyword(s):  
Inflation Rate ◽  
Secondary Data ◽  
Mineral Resources ◽  
Substitution Effect ◽  
Least Square ◽  
Fuel Price ◽  
Ordinary Least Square ◽  
Price Increases ◽  
The Government ◽  
The Impact

This study investigates the impact of fuel price adjusment on changes in fuel consumption and inflation in Indonesia. This study uses secondary data obtained from the Ministry of Energy and Mineral Resources, the Ministry of Finance, the Ministry of Trade, Bank Indonesia, the Central Bureau of Statistics (BPS), and PT Pertamina (Persero) from 2006 to 2016 and analyzed by using Ordinary Least Square (OLS) method. Research showed, if the government increases Premium Gasoline's price by 10%, in average its consumption would decrease around 2,99 %. However, if the Pertamax Gasoline's price increases, the consumption of Premium Gasoline would also increase due to substitution effect. Every 10% increase in Subsidized Diesel's price, in average its consumption would decrease around 4,80 % and vice versa. However, if the Pertamina dex's price increases, the consumption of Subsidized Diesel would also increase due to substitution effect. Moreover, IDR1.000/L increase in Premium Gasoline's Price would contribute 1,10 % to the inflation rate. On the other hand, increase in Subsidized Diesel's price does not contribute to the inflation rate.

scholarly journals ANALISIS FAKTOR-FAKTOR DOMINAN YANG MEMPENGARUHI EKONOMI RUMAHTANGGA PETANI PADI SAWAH DI KECAMATAN BATANG TUAKA KABUPATEN INDRAGIRI HILIR

2018 ◽  
Vol 14 (1) ◽  
pp. 12-20
Author(s):  
Marissa Chintia ◽  
Syaiful Hadi ◽  
Djaimi Bakce
Keyword(s):  
Labor Force ◽  
Working Time ◽  
Least Square ◽  
Dominant Factor ◽  
Section Data ◽  
Number Of Children ◽  
Economic Decisions ◽  
Paddy Farmers ◽  
The Government ◽  
Econometric Approach

The purpose of this study was to analyze the factors that influence the economic decisions of the household paddy farmer associated with the production, allocation of working time, income, and expenditure. To answer the purpose of research conducted by econometric approach using a model of simultaneous equations with the method Two Stage Least Square (2SLS). The data used is the 2016 cross section data which obtained by interviewed 45 paddy farmers in the district of Batang Tuaka. The result showed:Firstly, the dominant factor affected production is harvested area. Secondly, the dominant factors affected allocation of working time are income of farming, allocation of working outside the farming, labor force, age of farmers, the experience of farmers, allocation of working time on farming, farmers education, and the other income of farming.Thirdly, the dominant factors affected other income of farming are allocation of working outside the farming, age of farmers, farmers wife education, and labor force. Fourthly, the dominant factors affected expenditure are household total income, family member, health expenditure, number of children school, harvested area, food consumption, household total expenditure, education invesments, and savings.Policy implications that can be taken by the government to develop paddy farming to increase the production of dried paddy in the district of Batang Tuaka is with the improvement and development of infrastructure and facilities of agriculture. The increase in production to push income needs supported by the pricing of dried paddy pro farmers and stabilize the prices of inputs.

scholarly journals ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yandiles Weya ◽  
Vecky A.J. Masinambow ◽  
Rosalina A.M. Koleangan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Economic Activity ◽  
Time Series Data ◽  
Private Investment ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
North Sulawesi ◽  
The City

ANALISIS PENGARUH INVESTASI SWASTA , PENGELUARAN PEMERINTAH, DAN PENDUDUK TERHADAP PERTUMBUHAN EKONOMI DI KOTA BITUNG Yandiles Weya, Vecky A.J. Masinambow, Rosalina A.M. Koleangan. Fakultas Ekonomi dan Bisnis, Magister Ilmu EkonomiUniversitas Sam Ratulangi, Manado ABSTRAKPada suatu periode perekonomian mengalami pertumbuhan negatif berarti kegiatan ekonomi pada periode tersebut mengalami penurunan. Kota Bitung periode tahun 2004-2014 mengalami pertumbuhan ekonomi yang fluktuasi. Adanya fluktuasi ini dapat dipengaruhi oleh investasi swasta, belanja langsung, dan penduduk Pertumbuhan ekonomi merupakan salah satu tolok ukur keberhasilan pembangunan ekonomi di suatu daerah. Pertumbuhan ekonomi mencerminkan kegiatan ekonomi. Pertumbuhan ekonomi dapat bernilai positif dan dapat pula bernilai negatif. Jika pada suatu periode perekonomian mengalami pertumbuhan positif berarti kegiatan ekonomi pada periode tersebut mengalami peningkatan. Sedangkan jikaTahun 2004-2014 yang bersumber dari Badan Pusat Statistik Provinsi Sulut dan Kota Bitung. Metode analisis yang digunakan adalah model ekonometrik regresi berganda double-log (log-log) dengan metode Ordinary Least Square (OLS). Penelitian ini bertujuan untuk mengetahui apakah perkembangan investasi swasta, belanja langsung, dan penduduk berpengaruh terhadap pertumbuhan ekonomi Kota Bitung. Data yang dipakai menggunakan data time series periodeHasil regresi model pertumbuhan ekonomi dengan persamaan regresinya yaitu  LPDRB  =  - 4,445    +  0.036 LINV  +  0.049 LBL  +  2,229 LPOP.  Dari hasil tersebutmenunjukkan perkembangan investasi swasta, belanja langsung dan penduduk berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi Kota Bitung.Kata Kunci :pertumbuhan ekonomi, belanja langsung, penduduk, regresi bergandaABSTRACT    The economy experienced a period of negative growth means economic activity in this period has decreased. Bitung-year period 2004-2014 economic growth fluctuations. These fluctuations can be influenced by private investment, direct spending, and population Economic growth is one measure of the success of economic development in an area. Economic growth reflects economic activity. Economic growth can be positive and can also be negative. If the economy experienced a period of positive growth means economic activity during the period has increased. Whereas if  years 2004-2014 are sourced from the Central Statistics Agency of North Sulawesi Province and Bitung. The analytical method used is an econometric model double-log regression (log-log) with Ordinary Least Square (OLS). This study aims to determine whether the development of private investment, direct spending, and population affect the economic growth of the city of Bitung. The data used using time series data period.    The results of the regression model of economic growth with the regression equation is LPDRB = - LINV 4.445 + 0.036 + 0.049 + 2.229 LPOP LBL. From these results show the development of private investment, direct expenditure and population positive and significant impact on economic growth of Bitung.Keywords: Economic growth, direct spending, population, regression.

scholarly journals Determinants of Common Bean (Phaseolus Vulagris L.) Marketed Surplus Among Smallholder Farmers in Humbo and Damot Gale Woredas, Southern Ethiopia

2018 ◽  
Vol 2 (1) ◽  
pp. 20
Author(s):  
Besufekad Belayneh ◽  
Tewodros Tefera ◽  
Thomas Lemma
Keyword(s):  
Common Bean ◽  
Smallholder Farmers ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Least Square ◽  
Primary Data ◽  
Southern Ethiopia ◽  
Cross Sectional ◽  
Ordinary Least Square ◽  
Multi Stage

This research was aimed to study the common bean (Phaseolus vulagris L.) marketed surplus among smallholder farmers in the Humbo and Damot Gale Woredas. A multi-stage sampling technique was used in order to determine the sample respondents. By using simple random sampling technique four sample Kebeles were selected. Cross sectional data were collected from 182 farm households who produced common bean in 2016 production season. Primary data were collected from sample households using structured questionnaire. Descriptive statistics and econometric model were employed to analyze the data. To identify determinants of marketed surplus of common bean, Ordinary Least Square (OLS) model was employed. The study suggest interventions such as intensification strategies which increase yields through proper management and use of inputs, rural infrastructure improvement increases the likelihood of market orientation and marketed surplus of common bean.

Determinants of Taxable Capacity in Nigeria

2018 ◽  
Vol 4 (6) ◽  
pp. 42-51
Author(s):  
Bassey Eyo Bassey ◽  
Eme J. Efiong
Keyword(s):  
Global Market ◽  
Least Square ◽  
Economic Openness ◽  
Ordinary Least Square ◽  
Secondary Sources ◽  
Test Of Hypotheses ◽  
Effective Administration ◽  
Level Of Economic Development ◽  
The Government ◽  
The Relationship

This study is centered on the determinants of taxable capacity in Nigeria, with taxable capacity viewed as the ability of the taxed person to bear the burden of the tax in relation to their source of income without experiencing a reduction in standard of living, or margin of profit and investment in the case of firms. The study employed desk survey research design, and data obtained from secondary sources and analysis conducted using the ordinary least square technique. The results from the regression analysis and the test of hypotheses revealed that the relationship between inflation and taxable capacity in Nigeria was negative and statistically insignificant. Also, the results showed that both the degree of economic openness and the level of economic development positively and significantly affected taxable capacity in Nigeria. The study recommended that the Nigerian government should create an enabling environment that will facilitate international trade and provide the necessary facilities for the efficient and effective administration of taxes on the income generated from the global market as these will go a long way in providing revenue for the government.

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