scholarly journals Are male to female employment ratio and salary compensations in agricultural sector co-integrated?

2021 ◽  
Vol 258 ◽  
pp. 06041
Author(s):  
Evgenia Ezhak ◽  
Tatiana Podolskaya ◽  
Elizaveta Karagozova ◽  
Muhammad Imtiaz Subhani ◽  
Denis Ushakov
Keyword(s):  
Time Series ◽  
World Bank ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Female Employment ◽  
Series Data ◽  
Agriculture Sector ◽  
Yearly Period ◽  
Male To Female

This study has been conducted in order to identify whether there is the co-movements between Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan. To analyze the possible co-movement between the Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan, the time series data for the yearly period of 1990 to 2020 for agriculture sector are taken from the publically available source i.e. website of World Bank. The result indicated that there is a long term relationship exists in between Male to Female employment ratio and Salary compensations in agricultural sector of Pakistan.

scholarly journals FAKTOR – FAKTOR YANG MEMPENGARUHI INVESTASI PEMERINTAH PADA SEKTOR PERTANIAN DI PROVINSI JAMBI

2017 ◽  
Vol 2 (2) ◽  
pp. 85
Author(s):  
Mulyani Mulyani
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Interest Rate ◽  
Linear Regression ◽  
Real Interest Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Series Data ◽  
Government Investment ◽  
Agriculture Sector

This research was conducted to analyse government investment in agriculture sector at Jambi Province. This research was held  on June - September 2017 by collecting data from several agencies. It used a time series data for 10 years (2006-2015).  This research  applied   multiple linear regression to  analyse the data. The results show that 95.9% of government investment in agriculture sector could  be  explained by  domestic  income variable, export-import growth of agriculture sector, real interest rate, rupiah exchange rate, previous government investment, and growth of agriculture sector. In fact the factors that had a significant effect were domestic  income variable, , export-import growth of agricultural sector, previous government investment and the growth of agriculture sector.Keywords: government investment, agricultural sector, growthPenelitian ini dilakukan untuk menganalisis investasi pemerintah pada sektor pertanian di Provinsi Jambi. Penelitian dilaksanakan di Provinsi Jambi dengan mengumpulkan data dari beberapa instansi terkait, yang dilaksanakan pada bulan Juni 2017 sampai September 2017. Dimana penelitian ini menggunakan data time series, dengan rentang waktu 10 tahun (2006-2015). Analisis data pada penelitian ini menggunakan regresi linear berganda. Hasil penelitian menunjukkan 95,9% penyerapan investasi pemerintah pada sektor pertanian dapat dijelaskan oleh variabel pendapatan asli daerah,pertumbuhan ekspor-impor sektor pertanian, tingkat suku bunga riil, nilai tukar rupiah, investasi pemerintah pada tahun sebelumnya, dan pertumbuhan sektor pertanian. Dari faktor-faktor tersebut yang berpengaruh signifikan adalah Pendapatan asli daerah, pertumbuhan ekspor impor sektor pertanian, investasi pemrintah pada tahun sebelumnya dan pertumbuhan sektor pertanian.Kata Kunci : investasi pemerintah, sektor Pertanian, pertumbuhan

scholarly journals PENGARUH PMDN, PMA, TENAGA KERJA DAN LUAS LAHAN SEKTOR PERTANIAN TERHADAP PRODUK DOMESTIK REGIONAL BRUTO (PDRB) SEKTOR PERTANIAN DI PROVINSI ACEH

2019 ◽  
Vol 4 (1) ◽  
pp. 109-117
Author(s):  
Evi Safira ◽  
Mohd Nur Syechalad ◽  
Asmawati Asmawati ◽  
Eva Murlida
Keyword(s):  
Time Series ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Positive Influence ◽  
Series Data ◽  
Domestic Investment ◽  
Agriculture Sector ◽  
Domestic Capital ◽  
Aceh Province ◽  
The Government

 Abstract The purpose of this research is to know and analyze the influence of Domestic Investment (PMDN), Foreign Investment (PMA), Labor and Land Area of Agriculture Sector on Gross Regional Domestic Product (PDRB) of Agriculture Sector in Aceh Province using time series data, 20 years (1995-2014). The model used is Cobb-Douglas production function. The result of the research shows that the PMDN variable has a positive influence and the Land Size negatively affect the GDP of the Agricultural Sector, while the FDI and Manpower have no significant effect to the GDP of the Agricultural Sector of Aceh Province. So from the results of this study recommends the government to create a program that can increase the productivity of land and labor productivity.Keywords: Domestic Capital, Foreign Capital, Labor, Land and Agricultural                   Sector GDP. AbstrakPenelitian ini bertujuan untuk mengetahui dan menganalisa Pengaruh Penanaman Modal Dalam Negeri (PMDN), Penanaman Modal Asing (PMA), Tenaga Kerja dan Luas Lahan Sektor Pertanian Terhadap Produk Domestik Regional Bruto (PDRB) Sektor Pertanian Di Provinsi Aceh dengan menggunakan data time series, selama 20 tahun (1995-2014). Model yang digunakan berupa fungsi produksi Cobb-Douglas. Hasil penelitian menunjukkan bahwa variabel PMDN berpengaruh positif dan Luas Lahan berpengaruh negatif terhadap PDRB Sektor Pertanian, sedangkan PMA dan Tenaga Kerja tidak berpengaruh signifikan terhadap PDRB Sektor Pertanian Provinsi Aceh. Maka dari hasil penelitian ini merekomendasikan pemerintah agar dapat membuat suatu program yang mampu meningkatkan produktivitas lahan dan produktivitas tenaga kerja.Kata Kunci : PMDN , PMA, Tenaga Kerja, Luas Lahan dan PDRB Sektor Pertanian.

scholarly journals Assessing Stream-Aquifer Connectivity in a Coastal California Watershed

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 416
Author(s):  
Bwalya Malama ◽  
Devin Pritchard-Peterson ◽  
John J. Jasbinsek ◽  
Christopher Surfleet
Keyword(s):  
Time Series ◽  
Spectral Analysis ◽  
Water Level ◽  
Time Series Data ◽  
Series Data ◽  
Low Permeability ◽  
Pumping Tests ◽  
Stream Flows ◽  
The Impact

We report the results of field and laboratory investigations of stream-aquifer interactions in a watershed along the California coast to assess the impact of groundwater pumping for irrigation on stream flows. The methods used include subsurface sediment sampling using direct-push drilling, laboratory permeability and particle size analyses of sediment, piezometer installation and instrumentation, stream discharge and stage monitoring, pumping tests for aquifer characterization, resistivity surveys, and long-term passive monitoring of stream stage and groundwater levels. Spectral analysis of long-term water level data was used to assess correlation between stream and groundwater level time series data. The investigations revealed the presence of a thin low permeability silt-clay aquitard unit between the main aquifer and the stream. This suggested a three layer conceptual model of the subsurface comprising unconfined and confined aquifers separated by an aquitard layer. This was broadly confirmed by resistivity surveys and pumping tests, the latter of which indicated the occurrence of leakage across the aquitard. The aquitard was determined to be 2–3 orders of magnitude less permeable than the aquifer, which is indicative of weak stream-aquifer connectivity and was confirmed by spectral analysis of stream-aquifer water level time series. The results illustrate the importance of site-specific investigations and suggest that even in systems where the stream is not in direct hydraulic contact with the producing aquifer, long-term stream depletion can occur due to leakage across low permeability units. This has implications for management of stream flows, groundwater abstraction, and water resources management during prolonged periods of drought.

Welfare Use in Japan: Trends and Determinants

2007 ◽  
pp. 88
Author(s):  
Wataru Suzuki ◽  
Yanfei Zhou
Keyword(s):  
Time Series ◽  
Longitudinal Data ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Negative Effects ◽  
Long Time ◽  
Welfare Use ◽  
The Impact

This article represents the first step in filling a large gap in knowledge concerning why Public Assistance (PA) use recently rose so fast in Japan. Specifically, we try to address this problem not only by performing a Blanchard and Quah decomposition on long-term monthly time series data (1960:04-2006:10), but also by estimating prefecturelevel longitudinal data. Two interesting findings emerge from the time series analysis. The first is that permanent shock imposes a continuously positive impact on the PA rate and is the main driving factor behind the recent increase in welfare use. The second finding is that the impact of temporary shock will last for a long time. The rate of the use of welfare is quite rigid because even if the PA rate rises due to temporary shocks, it takes about 8 or 9 years for it to regain its normal level. On the other hand, estimations of prefecture-level longitudinal data indicate that the Financial Capability Index (FCI) of the local government2 and minimum wage both impose negative effects on the PA rate. We also find that the rapid aging of Japan's population presents a permanent shock in practice, which makes it the most prominent contribution to surging welfare use.

scholarly journals FAKTOR – FAKTOR YANG MEMPENGARUHI KONSUMSI GAS DI INDONESIA

2021 ◽  
Vol 3 (2) ◽  
pp. 69
Author(s):  
Rohim Rohim ◽  
Mike Triani
Keyword(s):  
Time Series ◽  
World Bank ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Industrial Growth ◽  
A Value ◽  
The World Bank ◽  
The World ◽  
Gas Consumption

The purpose of this research is to determine (1) the effect of income on gas consumption in Indonesia (2) the effect of population on gas consumption in Indonesia (3) the effect of industrial growth on gas consumption in Indonesia. This type of research is descriptive and associative. The data used in this research is secondary data from Indonesia in the form of time series data from 1970 to 2019 and this data was obtained from official institutions of the World Bank and BP Statistic World. The data were processed using multiple linear regression. The results showed that the income had a negative and significant effect on gas consumption with a probability value of 0.0005 <0.05, the population had a positive and significant effect on gas consumption with a value of prob t-count of 0.0010 <0.05 and industrial growth had a positive and significant effect on gas consumption.  The significant to gas consumption in Indonesia with a value of prob t-count value of 0.5219 <0.05 and suggestions for further researchers to be able to analyze other factors that affecting gas consumption in Indonesia.  Because from the gas sectors, there are still many factors that affected gas consumption until the research results will be better

scholarly journals Minimum time required to detect population trends: the need for long-term monitoring programs

2017 ◽  
Author(s):  
Easton R White
Keyword(s):  
Time Series ◽  
Statistical Power ◽  
Time Series Data ◽  
Conservation Status ◽  
Monitoring Program ◽  
Minimum Time ◽  
Series Data ◽  
Series Length ◽  
Time Required

Long-term time series are necessary to better understand population dynamics, assess species' conservation status, and make management decisions. However, population data are often expensive, requiring a lot of time and resources. When is a population time series long enough to address a question of interest? We determine the minimum time series length required to detect significant increases or decreases in population abundance. To address this question, we use simulation methods and examine 878 populations of vertebrate species. Here we show that 15-20 years of continuous monitoring are required in order to achieve a high level of statistical power. For both simulations and the time series data, the minimum time required depends on trend strength, population variability, and temporal autocorrelation. These results point to the importance of sampling populations over long periods of time. We argue that statistical power needs to be considered in monitoring program design and evaluation. Time series less than 15-20 years are likely underpowered and potentially misleading.

scholarly journals PENGARUH ZIS (ZAKAT, INFAK, SEDEKAH) DAN ZAKAT FITRAH TERHADAP PENURUNAN KEMISKINAN DI INDONESIA PERIODE 1998 - 2010

Media Ekonomi ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 83
Author(s):  
Jumadin Lapopo
Keyword(s):  
Time Series ◽  
Developing Countries ◽  
Regression Analysis ◽  
Poverty Reduction ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Model ◽  
Independent Variables

<p>Poverty is being a problem in all developing countries including Indonesia. Among goverment programs, poverty has become the center offattention in policy at both of the regional and national levels. Looking at thephenomenon of poverty, Islam present with solution to reduce poverty through Zakat. This study aims to analyze the effect of ZIS and Zakat Fitrah against poverty in Indonesia in 1998 until 2010, data used in this study is secondary data and uses time series data, for the dependent variabel is poverty and for independent variables are ZIS and Zakat Fitrah. The analysis tools used in this study is to use multiple regression analysis model and the assumptions of classical test using the software Eviews-4. In this study also concluded that the ZIS variables significantly affect to the reduction of poverty in Indonesia although the effect is very small. In the variable Zakat Fitrah not significantly affect poverty reduction in Indonesia because of the nature of Zakat Fitrah is for consumption and not for long-term needs. The results of this study can be used for the management of zakat to be able to develop the management and to get a better system for distribution of zakat so that the main purpose of zakat can be achieved to reduce poverty.<br />Keywords : Poverty, Zakat Fitrah, ZIS.</p>

scholarly journals Track Irregularity Time Series Analysis and Trend Forecasting

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Jia Chaolong ◽  
Xu Weixiang ◽  
Wang Futian ◽  
Wang Hanning
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Series Data ◽  
Short Term ◽  
Measuring Point ◽  
Trend Forecasting ◽  
Changing Trend ◽  
Track Irregularity ◽  
Linear Differential

The combination of linear and nonlinear methods is widely used in the prediction of time series data. This paper analyzes track irregularity time series data by using gray incidence degree models and methods of data transformation, trying to find the connotative relationship between the time series data. In this paper, GM(1,1)is based on first-order, single variable linear differential equations; after an adaptive improvement and error correction, it is used to predict the long-term changing trend of track irregularity at a fixed measuring point; the stochastic linear AR, Kalman filtering model, and artificial neural network model are applied to predict the short-term changing trend of track irregularity at unit section. Both long-term and short-term changes prove that the model is effective and can achieve the expected accuracy.

scholarly journals Impact of Stock Market Development on Economic Growth in BRICS

2018 ◽  
Vol 10 (1) ◽  
pp. 23
Author(s):  
Godfrey Osaseri ◽  
Ifuero Osad Osamwonyi
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Stock Market ◽  
World Bank ◽  
Time Series Data ◽  
Market Development ◽  
Series Data ◽  
Stock Market Development ◽  
Development Indicators ◽  
Effect Estimation

The study examines Stock Market development and economic growth in BRICS, Quarterly time series data for the period 1994QI to 2015Q4 were sourced from World Bank Indicator. The Panel Least Squares based on the fixed effect estimation was employed to determine how stock market development impacts on the economic growth of BRICS. Diagnostics tests were conducted to ascertain the robustness and stability of the regression results. The findings reveal that stock market development exerts significant impact on the economic growth. The study revealed that there is a positive correlation between stock market development indicators and BRICS’s economic growth. The study recommends that the weakness of each of the BRICS member country should be taken as policy focus and strategies necessary to strengthen them should be swiftly applied by the governments.

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