scholarly journals Analisis Faktor-faktor yang Mempengaruhi Keputusan Ekonomi Rumahtangga Petani Padi Sawah di Kecamatan Bangkinang Kabupaten Kampar

SOROT ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. 85
Author(s):  
Sri Rumondang Oktavia Panjaitan ◽  
Djaimi Bakce ◽  
Deby Kurnia
Keyword(s):  
Cross Section ◽  
Time Allocation ◽  
Work Experience ◽  
Labour Force ◽  
Working Time ◽  
Least Square ◽  
Two Stage ◽  
Total Consumption ◽  
Production Allocation ◽  
Paddy Farmers

Secara umum penelitian ini bertujuan untuk menganalisis faktor-faktor yang berpengaruh terhadap keputusan ekonomi rumahtangga petani padi sawah terkait dengan produksi, alokasi waktu kerja, pendapatan, dan pengeluaran. Pendekatan ekonometrika model persamaan simultan dengan metode Two-Stage Least Square (2SLS) digunakan untuk menjawab tujuan penelitian. Faktor- faktor yang mempengaruhi produksi, alokasi waktu kerja, pendapatan, dan pengeluaran yaitu upah, harga input, harga output, umur, pendidikan, pengalaman kerja, angkatan kerja keluarga, jumlah anggota keluarga, dan jumlah anak sekolah. Data yang digunakan adalah data cross section tahun 2016 yang diperoleh dari wawancara langsung dengan 45 petani padi sawah di Kecamatan Bangkinang. Temuan utama dari penelitian ini menunjukkan Peubah total tenaga kerja dalam usaha responsif mempengaruhi produksi. Alokasi waktu kerja dipengaruhi secara responsif oleh pendapatan dalam usahatani padi sawah. Sementara itu, tidak ada peubah yang responsif mempengaruhi pendapatan luar usahatani padi sawah. Pengeluaran rumahatangga dipengaruhi secara responsif oleh pendapatan total rumahtangga, tabungan, total curahan kerja rumahtangga, dan konsumsi total rumahtangga.This research aims to analyse factors affecting the economic household decision of paddy farmers, associated with production, allocation of working time, income and expenditure. An econometric model of simultaneous equations approach to the Two-Stage Least Square method (2SLS) was used to answer the research objectives. The factors that influence the production, allocation of work time, income, and expenses are wages, input prices, output prices, age, education, work experience, family labour force, the number of family members, and the number of school children. The data used was the 2016 cross-section data obtained by interviewed 45 paddy farmers in Bangkinang Sub-district. The main findings of this research showed variable of the used labour was responsive respect to production. Allocation of working time was responsive respected by the income of paddy farming. In the other hand, there was no variable that responsive respect to income for non-paddy agriculture. Expenditures of the household were responsively respected by total income, saving, the total of working time allocation and total consumption.

scholarly journals ANALISIS FAKTOR-FAKTOR DOMINAN YANG MEMPENGARUHI EKONOMI RUMAH TANGGA PETANI PADI SAWAH DI KECAMATAN KUOK KABUPATEN KAMPAR

2019 ◽  
Vol 33 (1) ◽  
pp. 1-8
Author(s):  
Elpi Evi ◽  
Djaimi Bakce ◽  
Jum’atri Yusri Yusri
Keyword(s):  
Labor Force ◽  
Working Time ◽  
Least Square ◽  
Household Member ◽  
Equivalent Model ◽  
Analysis Model ◽  
Work Time ◽  
Two Stage ◽  
Production Allocation ◽  
Determining Factors

The purpose of the research for analyzing determination factors that affect household economic of farmers against the production, allocation of work time, incomes, and expenses of field paddy household in the subdistrict of Kuok, district of Kampar. The analysis model used is the simultaneous equivalent model with Two-Stage Least Square (2SLS) method. The result of research concludes that: firstly, determination factors which affect production are harvest area and a total of allocation of working time in farming but there is no responsive variable. Secondly, the determining factors that affect the allocation of working time are the income in farming, allocation of out working in farming, labor force, income non-paddy farming, allocation of working time in farming, however only production variable which is responsive. Thirdly, determination factors that affect income non-paddy farming are allocation of non-working time, labor force, farmer’s age, and the experiences of farmer however, there is no responsive variable. Fourthly, determination factors that affect consumption are total of farmer’s income and the number of a household member, investment of education and savings, but only income total of the farmer is responsive can affect consumption.

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 IMPACT OF EDUCATION TO HEAD OF HOUSEHOLD IN INDONESIA

2018 ◽  
Vol 3 (01) ◽  
pp. 1
Author(s):  
Maudytia Rismalasari Prabowo ◽  
Dominicus Savio Priyarsono ◽  
Mutiara Probokawuryan
Keyword(s):  
Cross Section ◽  
Household Head ◽  
Poverty Line ◽  
Jel Classification ◽  
Least Square ◽  
Living Standard ◽  
Two Stage ◽  
Independent Variables ◽  
Per Capita ◽  
The Impact

<span class="fontstyle0">Poverty is one of the most crucial problems in Indonesia which is the fifth city in South-East Asia, have a poverty line around 11.2% in 2014 (BPS 2016). Moreover, poverty in Indonesia has decreased slowly from 2000 (19.1%) until 2016 (10.9%) (Smeru, 2015). It means poverty in Indonesia should be accelerated the decline. One of the things that can reduce poverty is education (Gounder and Xing 2012). Education has a relationship with household consumption per capita. That means, the higher the education of household head, the higher the consumption per capita that household get. The aim of this study is to analyze the impact of education on poverty as measured by household's consumption in West Indonesia in 2014. This study uses Two-Stage Least Square (2SLS) methods with cross-section data and obtained from IFLS (Indonesia Family Life Survey). The result shows that there is a relationship between education and other independent variables on poverty. The independent variables that significantly affect poverty are age, age squared, gender, and marital status. The implication of this study is education can increase the number of consumption per capita so that the living standard will increase and poverty will decrease.<br /><br /></span><span class="fontstyle2">JEL Classification: </span><span class="fontstyle0">I20, I21, I25<br /><br /></span><span class="fontstyle2">Keywords</span><span class="fontstyle0">: consumption per capita, cross section, education, Two Stage Least Square, poverty.</span>

scholarly journals Efek Simultanitas Variabel Moneter Terhadap Neraca Pembayaran Di Lima Negara

2020 ◽  
Vol 3 (3) ◽  
pp. 208
Author(s):  
Dewi Mahrani Rangkuty ◽  
Ade Novalina ◽  
Alan Muhammad Fauzi
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Least Square ◽  
Two Stage

 tujuan penelitian ini adalah untuk menganalisis efek simultanitas variabel ekonomi moneter terhadap neraca pembayaran di lima negara yakni Indonesia, Korea Selatan, India, Brasil dan Meksiko. Dengan menggunakan data time series dari tahun 2000 sampai dengan 2018 dan cross section lima negara maka metode penelitian yang digunakan adalah pendekatan simultan Panel-Two Stage Least Square yang sebelumnya sudah berdasarkan hasil uji identifikasi. Hasil penelitian menunjukkan bahwa simultanitas terjadi antar variabel kurs mata uang di lima negara terhadap neraca pembayaran di lima negara tersebut pula dan begitu juga sebaliknya pada α = 10%. Kurs mata uang berpengaruh negatif dan signifikan terhadap neraca pembayaran di negara Indonesia, Korea Selatan, India, Brasil dan Meksiko, begitu pula sebaliknya.  

scholarly journals FAKTOR YANG MEMPENGARUHI WAKTU KERJA PEREMPUAN DAN KESEJAHTERAAN KELUARGA PADA INDUSTRI KERAJINAN KAYU DESA MAS

2021 ◽  
pp. 1137
Author(s):  
Putu Srila Lohita Prabhajayati ◽  
A.A.I.N. Marhaeni
Keyword(s):  
Time Allocation ◽  
Work Experience ◽  
Employment Status ◽  
Total Sample ◽  
Women's Work ◽  
Working Time ◽  
Family Welfare ◽  
Work Time ◽  
Women’S Work ◽  
Craft Industry

The purpose of this study was to analyze the effect of work experience, number of family dependents and husband's employment status on the allocation of women's working time in the wood craft industry in Mas Village; the effect of work experience, number of family dependents, husband's employment status and allocation of women's working time on family welfare in the wood craft industry in Mas Village; and the role of women's work time allocation in mediating the effect of work experience and number of family dependents and husband's employment status on family welfare in the wood craft industry in Mas Village. Data were obtained using observation and interview methods, with a total sample of 97 people which were then analyzed using path analysis. The results showed that work experience had a non-positive or non significant effect on the allocation of women's working time, while the number of family dependents had a positive and significant effect on the allocation of women's working time, and husbands who had employment status had a lower allocation of women's working time than husbands who did not work; Work experience, number of dependents in the family has no effect on family welfare, while husbands who have employment status work have higher family welfare than husbands who do not work, and the allocation of women's working time has a positive and significant effect on family welfare; Work experience, number of family dependents and husband's employment status indirectly affect family welfare through the allocation of women's working time, in other words, women's work time allocation is an intervening variable that mediates work experience, number of family dependents and husband's employment status on women's working time allocation. . Meanwhile, the husband's employment status has no direct effect on family welfare.

scholarly journals A Compound Wind Power Forecasting Strategy Based on Clustering, Two-Stage Decomposition, Parameter Optimization, and Optimal Combination of Multiple Machine Learning Approaches

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3586 ◽  
Author(s):  
Sizhou Sun ◽  
Jingqi Fu ◽  
Ang Li
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Wind Farm ◽  
Search Algorithm ◽  
Interpolation Method ◽  
Least Square ◽  
Support Vector ◽  
Two Stage ◽  
Wind Power Forecasting ◽  
Power Forecasting

Given the large-scale exploitation and utilization of wind power, the problems caused by the high stochastic and random characteristics of wind speed make researchers develop more reliable and precise wind power forecasting (WPF) models. To obtain better predicting accuracy, this study proposes a novel compound WPF strategy by optimal integration of four base forecasting engines. In the forecasting process, density-based spatial clustering of applications with noise (DBSCAN) is firstly employed to identify meaningful information and discard the abnormal wind power data. To eliminate the adverse influence of the missing data on the forecasting accuracy, Lagrange interpolation method is developed to get the corrected values of the missing points. Then, the two-stage decomposition (TSD) method including ensemble empirical mode decomposition (EEMD) and wavelet transform (WT) is utilized to preprocess the wind power data. In the decomposition process, the empirical wind power data are disassembled into different intrinsic mode functions (IMFs) and one residual (Res) by EEMD, and the highest frequent time series IMF1 is further broken into different components by WT. After determination of the input matrix by a partial autocorrelation function (PACF) and normalization into [0, 1], these decomposed components are used as the input variables of all the base forecasting engines, including least square support vector machine (LSSVM), wavelet neural networks (WNN), extreme learning machine (ELM) and autoregressive integrated moving average (ARIMA), to make the multistep WPF. To avoid local optima and improve the forecasting performance, the parameters in LSSVM, ELM, and WNN are tuned by backtracking search algorithm (BSA). On this basis, BSA algorithm is also employed to optimize the weighted coefficients of the individual forecasting results that produced by the four base forecasting engines to generate an ensemble of the forecasts. In the end, case studies for a certain wind farm in China are carried out to assess the proposed forecasting strategy.

scholarly journals Import Flows of Bangladesh: Gravity Model Approach under Panel Data Methodology

2012 ◽  
Vol 60 (2) ◽  
pp. 153-157 ◽  
Author(s):  
Mili Roy ◽  
Md. Israt Rayhan
Keyword(s):  
Panel Data ◽  
Gravity Model ◽  
Cross Section ◽  
Time Series Data ◽  
Random Effect ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Extended Gravity ◽  
Trading Partners

In counterpoint to export growth, Bangladesh import growth has remained much less strong, despite impressive progress in import liberalization. This study gives an overview of different methodologies related to gravity model analysis in Bangladesh’s import flow. A pooled cross section and time series data were analyzed to incorporate the country specific heterogeneity in country pair trading partners. The import flows are justified by the basic gravity model since Bangladesh’s imports are positively significant by the economy size and inversely related to trade barrier. Accordingly, we have analyzed pooled ordinary least square, fixed effect, random effect. This study also explores extended gravity model using several variables in the light of gravity model panel data approach. Bangladesh’s import is determined by the home and foreign country’s gross domestic product and exchange rate. In addition, Cross section results show that regional trade arrangement which is South Asian Association for Regional Co-operation and border are significant for Bangladesh’s importimplies that Bangladesh should import more from intra regional country and also should import from India.DOI: http://dx.doi.org/10.3329/dujs.v60i2.11485 Dhaka Univ. J. Sci. 60(2): 153-157, 2012 (July)  

Macroeconomic determinants of trade openness: empirical investigation of SAARC region

2018 ◽  
Vol 12 (2) ◽  
pp. 151-161 ◽  
Author(s):  
Muhammad Tahir ◽  
SAF Hasnu ◽  
Mario Ruiz Estrada
Keyword(s):  
Regional Cooperation ◽  
Labour Force ◽  
Trade Openness ◽  
Least Square Method ◽  
Least Square ◽  
Content Type ◽  
Currency Exchange ◽  
Long Run ◽  
Macroeconomic Determinants ◽  
The Impact

Purpose Trade openness plays a significant role in the growth process of countries. The purpose of this paper is to examine the impact of macroeconomic determinants on the trade openness of countries. Design/methodology/approach The study focuses on the South Asian Association for Regional Cooperation (SAARC) member countries and the data used were from 1971 to 2011. Panel data econometrics techniques and two stages least square method (TSLS) are used to carry out empirical analysis and robustness testing. Findings The main finding of the paper is that macroeconomic determinants such as investment both in physical and human capital and per capita gross domestic product (GDP) positively affect trade openness. Further, the size of labour force and currency exchange rate has also impacted trade openness negatively and significantly. Practical implications It implies that efficient macroeconomic management matters for higher trade openness. The sampled developing countries are suggested to pay favourable attention to macroeconomic variables if they want to grow in the long run through outward-oriented policies. Originality/value This paper is an original contribution in the context of SAARC countries by focusing on the relationship between macroeconomic determinants and trade openness.

scholarly journals Analisis faktor-faktor yang mempengaruhi pertumbuhan ekonomi di Provinsi Riau tahun 2000-2018

SOROT ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 87
Author(s):  
Miftakul Khoiri ◽  
Syapsan Syapsan ◽  
Sri Endang Kornita
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Financial Crisis ◽  
Global Financial Crisis ◽  
Capital Expenditure ◽  
Labour Force ◽  
Private Investment ◽  
Least Square ◽  
Domestic Product ◽  
Ordinary Least Square

Terdapat beberapa permasalahan yang berbeda pada sumber daya di setiap daerah, yaitu investasi, tenaga kerja dan teknologi sebagai faktor pembentuk output perekonomian daerah. Penelitian ini menganalisis hubungan antara investasi dalam bentuk Penanaman Modal Asing (PMA), Penanaman Modal Dalam Negeri (PMDN), belanja modal pemerintah, angkatan kerja dan ekspor dengan pertumbuhan ekonomi. Tujuan penelitian adalah melihat pengaruh besarnya faktor-faktor tersebut terhadap Pertumbuhan ekonomi di Provinsi Riau 2000-2018. Untuk kepentingan khusus penelitian dengan tujuan melihat pengaruh krisis keuangan global tahun 2008 terhadap pertumbuhan ekonomi maka dimasukkan variabel dummy krisis keuangan. Penelitian ini adalah penelitian kuantitatif dengan metode regresi berganda log-log linier dan data time series. Model diestimasi dengan metode Ordinary Least Square (OLS). Hasil penelitian menunjukkan bahwa PMA, PMDN, angkatan kerja dan ekspor signifikan positif mempengaruhi pertumbuhan ekonomi yang diukur dengan nilai Produk Domestik Regional Bruto (PDRB). Begitu juga dengan dummy krisis keuangan global meskipun berlangsung singkat ternyata berpengaruh terhadap PDRB di Provinsi Riau. Namun demikian ditemukan bahwa belanja modal pemerintah tidak signifikan mempengaruhi pertumbuhan PDRB.There are some problems in resources of the regions, namely investment, labour force, and technology as the component factors to make the output of the region’s economy. This study aims to analyze the relationship between investment as consist of foreign direct investment (FDI), private investment, government capital expenditure, labour force, export and economic growth to the gross regional domestic product growth of regency in Riau Province 2000-2018. For the specific purpose of describing global financial crises in 2008 influence the economic growth, we put the dummy variable of the financial crisis in the model. This research is quantitative descriptive with the multiple regression model of log-linear and time series method using Ordinary Least Square (OLS). The study shows that government capital expenditure is statistically not significant to affect the gross regional domestic product growth. FDI, private investment, labour force and export is statistically significant to affect the gross regional domestic product growth. As well as a dummy of the global financial crisis is statistically significant to affect the gross regional domestic product growth.

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