scholarly journals Pengaruh Pengeluaran Pemerintah Dan Tingkat Pengangguran Terbuka (TPT) Terhadap Pertumbuhan Ekonomi Inklusif Indonesia

2021 ◽  
Vol 4 (1) ◽  
pp. 32-44
Author(s):  
Silvi Dewi Purwanti ◽  
Farida Rahmawati
Keyword(s):  
Growth Rate ◽  
Time Series

Penelitian ini dilatarbelakangi oleh adanya peningkatan pertumbuhan ekonomi merupakan tujuan bagi suatu Negara, yang didukung dengan pembangunan ekonomi. Namun pertumbuhan ekonomi di Indonesia selama tahun 2010-2019 belum menunjukkan hasil yang terus meningkat pada level nasional disamping itu kemiskinan dan ketimpangan yang belum dapat menurun. Kondisi tersebut bertolakbelakang dengan tujuan tercapainya pertumbuhan ekonomi inklusif. Penelitian ini bertujuan untuk mengukur dan menganalisis Pertumbuhan Ekonomi Inklusif dan faktor-faktor yang mempengaruhinya. Terdapat dua metode analisis yang digunakan dalam penelitian ini, yaitu analisis model Poverty-Equivalent Growth Rate (PEGR) dan analisis regresi linier berganda dengan data time series. Hasil penelitian menunjukan bahwa pada satu dekade terakhir pertumbuhan ekonomi inklusif di Indonesia belum konsisten tercapai setiap tahun. Hasil analisis regresi data time series menunjukkan bahwa variabel pengeluaran pemerintah bidang pendidikan dan pengeluaran pemerintah bidang kesehatan berpengaruh signifikan terhadap pertumbuhan ekonomi inklusif. Variabel pengeluaran pemerintah bidang pendidikan memiliki pengaruh yang berbanding terbalik terhadap pertumbuhan ekonomi inklusif, Sedangkan variabel tingkat pengangguran terbuka (TPT) berpengaruh tidak signifikan tehadap pertumbuhan ekonomi inklusif. Adapun upaya yang dapat dilakukan melalui  impikasi kebijakan pemerintah yaitu penguatan Program Indonesia Pintar (PIP), hingga pendidikan vokasi, penguatan program kesehatan melalui penambahan fasilitas kesehatan, perekrutan tenaga medis, hingga memaksimalkan kartu Indonesia sehat dan BPJS.

scholarly journals Assessing the Fiscal Sustainability of Government Finances in European Countries

2013 ◽  
Vol 52 (1) ◽  
pp. 87-93
Author(s):  
Yuriy Melnykov
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Interest Rate ◽  
Unit Root ◽  
Statistical Approach ◽  
Fiscal Sustainability ◽  
European Countries ◽  
Gdp Growth ◽  
Gdp Growth Rate

This paper analyses the fiscal sustainability of government finances in the 27 EU countries and Norway using an empirical, statistical approach and ADF tests for a unit root in the time series of the differences between the GDP growth rate and the long-term interest rate, and the primary balance.

scholarly journals Time-series genome-centric analysis unveils bacterial response to operational disturbance in activated sludge

2019 ◽  
Author(s):  
María Victoria Pérez ◽  
Leandro D. Guerrero ◽  
Esteban Orellana ◽  
Eva L. Figuerola ◽  
Leonardo Erijman
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Wastewater Treatment ◽  
Activated Sludge ◽  
Microbial Communities ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Operating Conditions ◽  
The Face

ABSTRACTUnderstanding ecosystem response to disturbances and identifying the most critical traits for the maintenance of ecosystem functioning are important goals for microbial community ecology. In this study, we used 16S rRNA amplicon sequencing and metagenomics to investigate the assembly of bacterial populations in a full-scale municipal activated sludge wastewater treatment plant over a period of three years, including a period of nine month of disturbance, characterized by short-term plant shutdowns. Following the reconstruction of 173 metagenome-assembled genomes, we assessed the functional potential, the number of rRNA gene operons and thein situgrowth rate of microorganisms present throughout the time series. Operational disturbances caused a significant decrease in bacteria with a single copy of the ribosomal RNA (rrn) operon. Despite only moderate differences in resource availability, replication rates were distributed uniformly throughout time, with no differences between disturbed and stable periods. We suggest that the length of the growth lag phase, rather than the growth rate, as the primary driver of selection under disturbed conditions. Thus, the system could maintain its function in the face of disturbance by recruiting bacteria with the capacity to rapidly resume growth under unsteady operating conditions.IMPORTANCEIn this work we investigated the response of microbial communities to disturbances in a full-scale activated sludge wastewater treatment plant over a time-scale that included periods of stability and disturbance. We performed a genome-wide analysis, which allowed us the direct estimation of specific cellular traits, including the rRNA operon copy number and the in situ growth rate of bacteria. This work builds upon recent efforts to incorporate growth efficiency for the understanding of the physiological and ecological processes shaping microbial communities in nature. We found evidence that would suggest that activated sludge could maintain its function in the face of disturbance by recruiting bacteria with the capacity to rapidly resume growth under unsteady operating conditions. This paper provides relevant insights into wastewater treatment process, and may also reveal a key role for growth traits in the adaptive response of bacteria to unsteady environmental conditions.

Method for monitoring plasma progesterone concentrations in pregnancy.

1976 ◽  
Vol 22 (4) ◽  
pp. 422-428 ◽  
Author(s):  
P Winkel ◽  
P Gaede ◽  
J Lyngbye
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Reference Material ◽  
Gestational Age ◽  
Predictive Power ◽  
Mean Value ◽  
Single Subject ◽  
Progesterone Concentration ◽  
Plasma Progesterone ◽  
In Pregnancy

Abstract We present a time-series model for monitoring concentrations in plasma of hormones produced in the placenta, progesterone being chosen as an example. The model, which is based on the assumption that variations in plasma progesterone concentration in pregnant subjects mainly reflect variations in the growth rate of the placenta, was applied to eight series of progesterone values measured during pregnancy in eight subjects. In the model, which was found to fit the data, it is assumed that progesterone concentration is proportional to the size of the placenta and that the growth rate of the placenta varies at random, with a mean value alpha. The variation of alpha was of the same magnitude among and within the subjects. If the average of many subjects alpha values is used, a single subject may be used as her own reference, based on only one previous observation. When two observations are available, an individual's own alpha value may be estimated and used for the prediction. The predictive power of the new method was found to be far superior to the conventional method in which a single sample reference material is used. Furthermore, one need not know the gestational age in order to use the method.

Correlation between the Fluctuations in Worldwide Seismicity and in Atmospheric Carbon Pollution

Sci ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 2
Author(s):  
Alberto Carpinteri ◽  
Gianni Niccolini
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Seismic Activity ◽  
Active Faults ◽  
Earth’S Crust ◽  
Atmospheric Co2 ◽  
Geochemical Evolution ◽  
Geochemical Data ◽  
Anthropogenic Emissions ◽  
Earth's Crust

The crucial stages in the geochemical evolution of the Earth’s crust, ocean, and atmosphere could be explained by the assumed low-energy nuclear reactions (LENR) that are triggered by seismic activity. LENR result in the fission of medium-weight elements accompanied by neutron emissions, involving Fe and Ni as starting elements, and C, N, O as resultants. Geochemical data and experimental evidences support the LENR hypothesis. The time series analysis highlighted significant correlation between the atmospheric CO2 growth rate and the global seismic-moment release rate, whereas the trending behavior was in response to the anthropogenic emissions. The fluctuations in the atmospheric CO2 growth rate time series were inexplicable in terms of anthropogenic emissions, but could be explained by the cycles of worldwide seismicity, which massively trigger LENR in the Earth’s crust. In this framework, LENR from active faults must be considered as a relevant cause of carbon formation and degassing of freshly-formed CO2 during seismic activity.

A performance evaluation of surplus production models with time-varying intrinsic growth in dynamic ecosystems

2019 ◽  
Vol 76 (12) ◽  
pp. 2245-2255 ◽  
Author(s):  
Geneviève M. Nesslage ◽  
Michael J. Wilberg
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Survey Data ◽  
Atlantic Menhaden ◽  
Data Sets ◽  
Time Varying ◽  
Intrinsic Growth Rate ◽  
Surplus Production ◽  
Production Models ◽  
Exploitation Rate

We conducted a simulation study to evaluate performance of surplus production models (SPMs) with a time-varying intrinsic growth rate (SPMTVr) for stocks with predation-driven changes in productivity. Data sets were simulated using an age-structured, linked, predator–prey model of Atlantic menhaden (Brevoortia tyrannus), a forage fish native to the Northwest Atlantic, and Atlantic striped bass (Morone saxatilis), its primary predator, with differing time series of fishing mortality on both predator and prey. Simulations generated test data sets for Atlantic menhaden SPMs that included either a static or time-varying intrinsic growth rate parameter. The SPMTVr largely produced more accurate, less variable estimates of exploitation rate and biomass than models with static intrinsic growth. We also applied SPMTVr to empirical Atlantic menhaden catch and survey data for 1964–2016. The SPMTVr fit the survey data well, estimated an intrinsic growth rate time series that mirrored long-term juvenile survey trends, and produced biomass and exploitation rate trends that mirrored a statistical catch-at-age model. The SPMTVr estimated dynamic, maximum sustainable yield (MSY)-based reference points that reflected changing stock productivity.

How do output growth-rate distributions look like? Some cross-country, time-series evidence

2007 ◽  
Vol 57 (2) ◽  
pp. 205-211 ◽  
Author(s):  
G. Fagiolo ◽  
M. Napoletano ◽  
A. Roventini
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Output Growth ◽  
Cross Country

Time series change in pulse scenario in India with special reference to Haryana

2019 ◽  
Author(s):  
Vijay Kumar ◽  
Ishwar Dutt
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
National Level ◽  
Vegetarian Diet ◽  
Positive Trend ◽  
Study Analysis ◽  
Important Ingredient ◽  
Policy Makers ◽  
Food Grains ◽  
Per Capita

Pulses are an important ingredient of the vegetarian diet of Indian masses. Pulses are a major source of protein predominantly among Indian vegetarian people making their diets more balanced and nutritive. In this study, analysis has been done to help out the researcher and policy makers to take decisions regarding future initiatives and programmes. In India during 2016-17 pulses were grown over an area of 29.27 million hectare producing 22.4 million tones with yield of 765 kg / per hectare. The cropping area of pulses in Haryana as compared to India is almost decreasing. The trend of contribution of pulses by Haryana at national level is also decreasing which reduces from 0.81 million tons in 1970-71 to 0.06 million tons in 2016-17. In India, about 5.63 to 10.90 percent share of food grains production is pulses. The percentage growth rate in the cropped area as well as in production of total pulses in India shows much fluctuation but serious downfall Haryana. The cropped area, production and productivity of total pulses in India shows positive trend from 10th Five Year Plan, however it is found reverse in Haryana. The highest per capita availability of pulses in a 1971-72 which was 51.22 grams per day and the lowest per capita availability of pulses in 2003-04 i.e. 10.6 grams per day in India.

scholarly journals Quantifying acoustic damping using flame chemiluminescence

2016 ◽  
Vol 808 ◽  
pp. 245-257 ◽  
Author(s):  
E. Boujo ◽  
A. Denisov ◽  
B. Schuermans ◽  
N. Noiray
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Gas Turbines ◽  
Linear Growth ◽  
Dynamic Pressure ◽  
Cost Effective ◽  
Operating Conditions ◽  
Linear Growth Rate ◽  
Acoustic Damping ◽  
Output Only

Thermoacoustic instabilities in gas turbines and aeroengine combustors fall within the category of complex systems. They can be described phenomenologically using nonlinear stochastic differential equations, which constitute the grounds for output-only model-based system identification. It has been shown recently that one can extract the governing parameters of the instabilities, namely the linear growth rate and the nonlinear component of the thermoacoustic feedback, using dynamic pressure time series only. This is highly relevant for practical systems, which cannot be actively controlled due to a lack of cost-effective actuators. The thermoacoustic stability is given by the linear growth rate, which results from the combination of the acoustic damping and the coherent feedback from the flame. In this paper, it is shown that it is possible to quantify the acoustic damping of the system, and thus to separate its contribution to the linear growth rate from the one of the flame. This is achieved by postprocessing in a simple way simultaneously acquired chemiluminescence and acoustic pressure data. It provides an additional approach to further unravel from observed time series the key mechanisms governing the system dynamics. This straightforward method is illustrated here using experimental data from a combustion chamber operated at several linearly stable and unstable operating conditions.

scholarly journals Pengaruh Ekspor, Impor, dan Investasi terhadap Pertumbuhan Sektor Pertanian Indonesia

2018 ◽  
Vol 35 (1) ◽  
pp. 49
Author(s):  
NFN Suharjon ◽  
Sri Marwanti ◽  
Heru Irianto
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Impulse Response ◽  
Agricultural Sector ◽  
Gdp Growth ◽  
Agricultural Export ◽  
Absolute Value ◽  
Gdp Growth Rate ◽  
Vector Auto Regression ◽  
Auto Regression

<p><strong>English</strong><br />Promoting agricultural sector is important for improving Indonesia economic performance. The objectives of the research are to determine the effects of levels and shocks of agricultural export, import, and investment on the growth (GDP) of the Indonesian agriculture sector. The research was conducted using quarterly time series data from 2000–2015. Vector Auto Regression analysis method was applied in this study. The causality analysis shows that the agricultural export, import, and investment levels do not significantly affect the agricultural GDP growth, but the agricultural GDP growth does significantly affect the level of agricultural export, import, and investment. The impulse response analysis shows that the investment response to GDP growth shocks is higher than that of export and import responses. The variance of decomposition analysis shows that the contribution of exports to agricultural GDP growth are larger than the contribution of imports and investments. This study concludes that the absolute value of the agricultural sector export, import, and investment do not affect the sector GDP growth rate, but the agricultural sector GDP growth rate affect the absolute value of the sector export, import, and investment in Indonesia.</p><p><br /><strong>Indonesian</strong><br />Mendorong pertumbuhan sektor pertanian Indonesia adalah penting untuk peningkatan kinerja perekonomian Indonesia. Tujuan penelitian adalah mengetahui pengaruh besaran dan goncangan (shock) ekspor, impor, dan investasi sektor pertanian terhadap pertumbuhan (GDP) sektor pertanian Indonesia. Penelitian dilakukan dengan menggunakan data time series triwulanan dari tahun 2000–2015. Penelitian menggunakan metode analisis Vector Auto Regression (VAR). Hasil analisis kausalitas menunjukkan bahwa ekspor, impor, dan investasi pertanian tidak berpengaruh nyata terhadap pertumbuhan PDB sektor pertanian, namun pertumbuhan PDB sektor pertanian berpengaruh nyata terhadap ekspor, impor, dan investasi pertanian. Hasil analisis impulse response menunjukkan bahwa respons investasi terhadap goncangan pertumbuhan PDB lebih besar dibandingkan respons besaran ekspor dan impor, Analisis variance decomposition menunjukkan kontribusi ekspor terhadap pertumbuhan PDB lebih besar dibandingkan dengan kontribusi impor dan investasi. Hasil penelitian ini menyimpulkan bahwa besaran absolut ekspor, impor, dan investasi pertanian tidak berpengaruh nyata terhadap laju pertumbuhan PDB sektor pertanian, namun pertumbuhan PDB sektor pertanian berpengaruh nyata terhadap besaran ekspor, impor, dan investasi pertanian di Indonesia.</p>

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