scholarly journals Analisis kluster Kabupaten dan Kota di Provinsi Jambi berdasarkan indikator pembangunan

2021 ◽  
Vol 16 (2) ◽  
pp. 267-278
Author(s):  
Selamet Rahmadi
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Unemployment Rate ◽  
Hierarchical Method ◽  
Average Linkage ◽  
Group 2 ◽  
Poor Population ◽  
Group 1

The purpose of this study is to classify Regencies and Cities in Jambi Province based on HDI, economic growth, percentage of population growth, percentage of poor population, percentage of open unemployment rate and Gini ratio. To answer these objectives the hierarchical method used is Average Linkage (Between Groups). The of analysis were obtained, two clusters could be formed, where group 1 consisted of 10 Regencies and Cities, group 2 consisted of 1 Regencies.  

scholarly journals Pengaruh Pertumbuhan Ekonomi dan Pertumbuhan Penduduk Terhadap Tingkat Pengangguran di Kabupaten Mimika

2021 ◽  
Vol 1 (1) ◽  
pp. 54-66
Author(s):  
Putri Nadya Djaelani ◽  
Habel Taime
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Linear Regression ◽  
Population Growth ◽  
Unemployment Rate ◽  
Positive Relationship ◽  
Regression Coefficient ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Coefficient Of Regression

This study aims to determine the significance of the influence of economic growth and population growth on the unemployment rate in Mimika Regency. The method in this study is an associative method using multiple linear regression analysis tools with the help of SPSS statistic. Based on the results obtained in this study, the value of regression coefficient in economic growth variable was 0.058. The coefficient of positive value means that there is a positive relationship between economic growth and the unemployment rate. Then the coefficient of regression in the population growth variable was 0.451. The coefficient of positive value means that there is a positive relationship between population growth and the unemployment rate.

scholarly journals Pengaruh pertumbuhan ekonomi, inflasi dan tingkat pengangguran terbuka terhadap jumlah penduduk miskin di Provinsi Jambi

2019 ◽  
Vol 8 (3) ◽  
pp. 184-193
Author(s):  
Arif Rahman ◽  
Purwaka Hari Prihanto ◽  
Muhammad Safri
Keyword(s):  
Economic Growth ◽  
Unemployment Rate ◽  
Inflation Rate ◽  
Negative Impact ◽  
Secondary Data ◽  
Poverty Rate ◽  
Poor People ◽  
Research Model ◽  
Poor Population ◽  
Constant Prices

Study aims to: 1) To find out the development of economic growth, inflation and the level of open unemployment in Jambi Province; 2) To analyze the influence of economic growth, inflation and the open unemployment rate on the number of poor people in Jambi Province. This research uses secondary data for the period 2001-2016. The method used in analyzing the data is by using multiple regression analysis. The results of this study indicate that: 1) The poor population in Jambi Province from 2001-2016 has decreased, where the number of poor people in Jambi Province has decreased by 0.46 percent. Economic growth in Jambi Province on the basis of constant prices from 2001-2016 experienced an average fluctuation of 6.23 percent per year. During the period of 2001-2016 the inflation rate in Jambi Province was an average of 12.25 percent. The highest number of unemployed occurred in 2005, amounting to 133,964 people and then in 2016 a decrease of 67,671 people; 2) Every increase in economic growth in Jambi Province is 1 percent, the poverty rate of the population in Jambi Province will decrease by 0.140 percent. The results of this test indicate that economic growth has a negative impact on the number of poverty in Jambi Province. Every increase in the inflation rate by 1 percent, the poverty rate will increase by 0.002 percent and every increase in the unemployment rate in Jambi Province by 1 percent, the poverty rate of the population in Jambi Province will increase by 0.052 percent. Together economic growth, inflation and unemployment have a positive and significant effect on the poverty rate of the population in Jambi Province during the period 2001-2016. Variation in ups and downs the poverty rate of the population in Jambi Province is able to explain economic growth, inflation and unemployment by 35.2 percent, while the remaining 64.8 percent is explained by other variables not included in this research model.

Identifikasi Faktor-Faktor Yang Mempengaruhi Produk Domestik Regional Bruto (Pdrb) Di Provinsi Aceh Menggunakan Generalized Additive Models Dengan Basis B-Spline

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Lia Rahmati ◽  
Hadiana Qanita ◽  
Miftahuddin
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Unemployment Rate ◽  
Generalized Additive Models ◽  
Additive Models ◽  
Dependency Ratio ◽  
Rate Dependency ◽  
Level Of Education ◽  
B Splines ◽  
Aceh Province

Laju pertumbuhan ekonomi merupakan indikator penting dalam mengukur perkembangan suatu daerah. Tingkat pertumbuhan ekonomi dapat diukur dengan Produk Domestik Regional Bruto (PDRB). Tingkat pertumbuhan ekonomi dapat dipengaruhi oleh beberapa faktor. Tingkat pengangguran terbuka, rasio ketergantungan, tingkat pertumbuhan penduduk, dan tingkat pendidikan terakhir di DI-DIII yang dapat menjadi penentu pertumbuhan ekonomi di Provinsi Aceh. Penelitian ini bertujuan untuk mendapatkan model terbaik dalam memeriksa faktor-faktor yang mempengaruhi PDRB di Provinsi Aceh. Pemodelan dilakukan menggunakan Generalized Additive Model (GAM) dengan basis B-Splines. Penelitian ini menggunakan data PDRB tahun 2013-2015 di Provinsi Aceh. Hasil menunjukkan bahwa variabel keempat yang diuji memiliki efek signifikan terhadap PDRB di Provinsi Aceh. Pengaruh kuantitas yang diperoleh ialah sebesar 50,1%. Ini berarti bahwa tingkat pengangguran terbuka, rasio ketergantungan, tingkat pertumbuhan penduduk, dan tingkat pendidikan terakhir di DI-DIII yang menjadi faktor penentu PDRB di Aceh sebesar 50,1%.    The rate of economy growth is an important indicator in measuring of the development of an area. The economic growth rate can be measured by GRDP CP (Gross Regional Domestic Product on Constant Prices). Economic growth rates can be influenced by some factors. The open unemployment rate, dependency ratio, the rate of population growth, and the last level of education in DI-DIII that can be determinants of economic growth in Aceh Province. This research aims to get the best model in examining the factors that affect the GRDP in Aceh Province. Modeling is done using Generalized Additive Models (GAM) with base B-Splines. This research uses data GRDP CP 2013-2015 year in Aceh Province. The result is the fourth variables being tested has significant effects to the GRDP in Aceh Province. Influence of the quantity obtained is amounting to 50.1%. It means that the open unemployment rate, dependency ratio, the rate of population growth, and the last level of education in DI-DIII tobe deciding factors GRDP in Aceh is 50.1%.

scholarly journals THE EFFECT OF ECONOMIC GROWTH AND THE NUMBER OF POPULATION TO THE UNEMPLOYMENT RATE IN INDRAGIRI HULU REGENCY

2020 ◽  
Vol 9 (1) ◽  
pp. 51-60
Author(s):  
Aris Triyono
Keyword(s):  
Economic Growth ◽  
Linear Regression ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
Unemployment Rate ◽  
Analytical Method ◽  
Total Population ◽  
Secondary Data ◽  
Regression Methods ◽  
Central Statistics

The research location used as the object of this research is the Central Statistics Agency of Indragiri Hulu Regency. This study aims to determine the effect of economic growth and population simultaneously on the unemployment rate, to determine the effect of economic growth partially on the unemployment rate, to determine the effect of the total population partially on the unemployment rate in Indragiri Hulu Regency. The type of data used in this study is secondary data. The analytical method used is multiple linear regression methods, with the help of SPSS version 21. Based on the results of simultaneous economic growth and population growth has a significant effect on the unemployment rate, economic growth has a partially positive and significant effect on the unemployment rate, the population has a partially positive and significant effect on the unemployment rate, and other variables affect the unemployment rate that is not examined in research

scholarly journals Impact of GDP, Inflation, Population Growth and FDI on Unemployment: A study on Bangladesh Economy

2020 ◽  
pp. 67-79
Author(s):  
Janifar A. ◽  
Quazi N.A. ◽  
Tanvirul H.
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Unemployment Rate ◽  
Least Square ◽  
Economic Factors ◽  
Causality Test ◽  
Data Set ◽  
Macroeconomic Factors ◽  
Integration Test ◽  
The Impact

Unemployment is a major problem in almost all of the countries of south Asia. Unemployment has become the consistent crucial problem in Bangladesh. Economic conditions, demographic structure, women contribution, movement of rural to urban are the major causes of unemployment in Bangladesh. Economic growth and unemployment have a negative relation in Bangladesh. This study is performed to see the impact of some crucial macroeconomic factors on the increasing growth rate of unemployment in Bangladesh. For conducting the study, data set of GDPs, inflation, population growth, FDI during the period of 1995-2019 of Bangladesh has been used. To find out the impact of inflation, economic growth, population growth and FDI on unemployment rate this study used the Augmented Dickey Fuller test for Unit Root to check whether variables are stationary or non-stationary. Gross Domestic Product (GDP) and Inflation, FDI are stationary on level and intercept and unemployment is stationary on first difference. From the augmented dicky fuller test, co linearity and co integration test, least square method it is observed that there is long run relationship exists among the factors and unemployment in Bangladesh. Economic factors like GDP and, FDI have significant influence on unemployment problem in Bangladesh. Theoretically there has a positive relation between unemployment and economic growth. Granger causality test confirms the unidirectional influences come from the unemployment rate to the economic factors as well. This study will help policy makers to modify policy to reduce the unemployment rate in Bangladesh.

scholarly journals UNEMPLOYMENT AND ECONOMIC GROWTH IN NIGERIA: DOES OKUN’S LAW MATTERS?

10.23856/3203 ◽  
2019 ◽  
Vol 32 (1) ◽  
pp. 26-37
Author(s):  
Oluwaseyi Adedayo Adelowokan ◽  
Adeteji Olusegun Оkutimiren
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Unemployment Rate ◽  
Government Expenditure ◽  
Output Growth ◽  
Sustainable Growth ◽  
Okun’S Law ◽  
Okun's Law ◽  
The Government ◽  
The Impact

The situation in Nigeria is rapid population growth with high level of unemployment rate. The theoretical proposition of the Okun’s law suggests an indirect relationship existing between unemployment and output growth. This study tests the validity of Okun’s law by examining the impact of youth employment generation on sustainable growth in the Nigerian economy. We modeled real gross domestic product against unemployment rate, population growth, labour and government expenditure between 1986 and 2017. The empirical findings show that there is short- and long- run relationship existing between unemployment rate, population growth and output growth in Nigeria. Hence, study recommends that the activities by the government in promoting economic growth in the country should be geared towards promoting employment for the people in other sector.

scholarly journals Business Sector Innovation and Economic Growth a Comparative Analysis Between EU Countries

2019 ◽  
Vol 52 (1) ◽  
pp. 1-22
Author(s):  
Cláudia Caseiro ◽  
Marta C. N. Simões
Keyword(s):  
Economic Growth ◽  
Absorptive Capacity ◽  
Innovation Performance ◽  
Data Availability ◽  
Positive Sign ◽  
Business Sector ◽  
Innovation Activities ◽  
Group 2 ◽  
Innovation Indicators ◽  
Group 1

This paper examines the relationship between innovation carried out by the business sector and economic growth in the 28 member states of the European Union, divided into two groups (1 and 2) according to their innovation performance. We use fixed effects panel data methods to test the hypothesis that business sector innovation plays a relevant role in explaining the behaviour of real GDP per capita, estimating two growth regressions according to data availability (1990-2015 and 2008-2015; unrestricted/restricted sample). The results indicate that the role of business sector innovation in economic growth not only varies according to the sample of countries and the period under analysis, but also the proxy for innovation used. In group 1 (above average innovation performance) the innovation indicators statistically significant in explaining growth also present a positive sign (with a few exceptions). In group 2 (below average innovation performance) on the other hand, the statistically significant business sector innovation indicators present a negative sign. One possible justification for these signs are differences in absorptive capacity, so that the growth benefits of innovation activities depend on aspects such as human capital availability, accumulated knowledge, technological and financial support. Since group 1 includes countries with higher absorptive capacity, business sector innovation is effectively translated into faster economic growth. In group 2, innovation activities do not translate into productivity increases due to a lack of absorptive capacity. Additionally, resources used in innovation activities might compete with other activities more relevant in terms of the stage of the growth process these countries are in so that innovation saps growth.

scholarly journals Does regional trade promote economic growth? Evidence from Economic Community of West African States (ECOWAS)

2020 ◽  
Vol 22 (1) ◽  
pp. 131-147 ◽  
Author(s):  
Agwu Sunday Okoro ◽  
Augustine Ujunwa ◽  
Farida Umar ◽  
Angela Ukemenam
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Population Growth ◽  
Unemployment Rate ◽  
Capital Formation ◽  
West African ◽  
Economic Community ◽  
Regional Trade ◽  
Member States ◽  
Content Type

PurposeThis paper examines the impact of regional and non-regional trade on economic growth using annual data from Economic Community of West African States (ECOWAS) member countries for the period 2007 to 2017.Design/methodology/approachTrade data were decomposed into regional (trade among ECOWAS Member States) and non-regional (trade between ECOWAS Member States and the rest of the world). We used the dynamic system GMM to estimate the models and introduced exchange rate, unemployment rate, population growth and gross capital formation as controlled variables.FindingsThe results revealed that the estimated coefficient of ECOWAS regional trade is statistically significant and positive in predicting growth, while the non-regional trade coefficient is negative and not statistically significant in predicting growth. Other predictors of growth introduced into the model as controlled variables, such as exchange rate, unemployment rate, population growth and gross capital formation, displayed mixed results. More importantly, population growth, unemployment and exchange rate depreciation hurt economic growth, while gross capital formation promotes economic growth.Practical implicationsThe findings provide strong support in favour of the Krugman (1991) hypothesis that regional trade agreements (RTAs) are a better alternative to global trade.Originality/valueOur decision to disaggregate ECOWAS trade is unique and influenced largely by the objective of the study, which is to establish the type of ECOWAS trade that is a good predictor of growth. The evidence from our findings support the theory that RTAs are a better catalyst to economic growth.

In-vivo evaluation of the effect of cyanoacrylate on prosthetic vascular graft infection – does cyanoacrylate increase the severity of infection?

VASA ◽  
2020 ◽  
Vol 49 (4) ◽  
pp. 281-284
Author(s):  
Atıf Yolgosteren ◽  
Gencehan Kumtepe ◽  
Melda Payaslioglu ◽  
Cuneyt Ozakin
Keyword(s):  
Vascular Graft ◽  
Graft Infection ◽  
Vascular Graft Infection ◽  
Group 4 ◽  
Significant Difference ◽  
Group 3 ◽  
Group 2 ◽  
Prosthetic Vascular Graft Infection ◽  
Group 1

Summary. Background: Prosthetic vascular graft infection (PVGI) is a complication with high mortality. Cyanoacrylate (CA) is an adhesive which has been used in a number of surgical procedures. In this in-vivo study, we aimed to evaluate the relationship between PVGI and CA. Materials and methods: Thirty-two rats were equally divided into four groups. Pouch was formed on back of rats until deep fascia. In group 1, vascular graft with polyethyleneterephthalate (PET) was placed into pouch. In group 2, MRSA strain with a density of 1 ml 0.5 MacFarland was injected into pouch. In group 3, 1 cm 2 vascular graft with PET piece was placed into pouch and MRSA strain with a density of 1 ml 0.5 MacFarland was injected. In group 4, 1 cm 2 vascular graft with PET piece impregnated with N-butyl cyanoacrylate-based adhesive was placed and MRSA strain with a density of 1 ml 0.5 MacFarland was injected. All rats were scarified in 96th hour, culture samples were taken where intervention was performed and were evaluated microbiologically. Bacteria reproducing in each group were numerically evaluated based on colony-forming unit (CFU/ml) and compared by taking their average. Results: MRSA reproduction of 0 CFU/ml in group 1, of 1410 CFU/ml in group 2, of 180 200 CFU/ml in group 3 and of 625 300 CFU/ml in group 4 was present. A statistically significant difference was present between group 1 and group 4 (p < 0.01), between group 2 and group 4 (p < 0.01), between group 3 and group 4 (p < 0.05). In terms of reproduction, no statistically significant difference was found in group 1, group 2, group 3 in themselves. Conclusions: We observed that the rate of infection increased in the cyanoacyrylate group where cyanoacrylate was used. We think that surgeon should be more careful in using CA in vascular surgery.

The influence of continuous local wound infusion on postoperative pain in patients undergoing transfemoral amputation

VASA ◽  
2015 ◽  
Vol 44 (5) ◽  
pp. 381-386 ◽  
Author(s):  
Christian Uhl ◽  
Thomas Betz ◽  
Andrea Rupp ◽  
Markus Steinbauer ◽  
Ingolf Töpel
Keyword(s):  
Pain Management ◽  
Pilot Study ◽  
Local Anaesthetic ◽  
Phantom Pain ◽  
Transfemoral Amputation ◽  
Postoperative Wound ◽  
Stump Pain ◽  
Management Protocol ◽  
Group 2 ◽  
Group 1

Abstract. Summary: Background: This pilot study was set up to examine the effects of a continuous postoperative wound infusion system with a local anaesthetic on perioperative pain and the consumption of analgesics. Patients and methods: We included 42 patients in this prospective observational pilot study. Patients were divided into two groups. One group was treated in accordance with the WHO standard pain management protocol and in addition to that received a continuous local wound infusion treatment (Group 1). Group 2 was treated with analgesics in accordance with the WHO standard pain management protocol, exclusively. Results: The study demonstrated a significantly reduced postoperative VAS score for stump pain in Group 1 for the first 5 days. Furthermore, the intake of opiates was significantly reduced in Group 1 (day 1, Group 1: 42.1 vs. Group 2: 73.5, p = 0.010; day 2, Group 1: 27.7 vs. Group 2: 52.5, p = 0.012; day 3, Group 1: 23.9 vs. Group 2: 53.5, p = 0.002; day 4, Group 1: 15.7 vs. Group 2: 48.3, p = 0.003; day 5, Group 1 13.3 vs. Group 2: 49.9, p = 0.001). There were no significant differences between the two groups, neither in phantom pain intensity at discharge nor postoperative complications and death. Conclusions: Continuous postoperative wound infusion with a local anaesthetic in combination with a standard pain management protocol can reduce both stump pain and opiate intake in patients who have undergone transfemoral amputation. Phantom pain was not significantly affected.

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