نتایج جستجو برای: uk gross domestic product gdp

تعداد نتایج: 480194  

Journal: :Annali di igiene : medicina preventiva e di comunita 2017
F Chirico

Journal: :Spatial Economic Analysis 2023

The neoclassical growth model and the Roback of spatial general equilibrium (SGE) are integrated to study joint determination macroeconomic phenomena (gross domestic product (GDP) rate interest) economic (the distribution gross regional (GRP), employment capital). If internal capital mobility is perfect savings rates homogeneous, GDP depends on SGE, but SGE does not depend GDP. saving spatially...

Journal: :Jurnal Manajemen & Bisnis Performa 2023

Investment has an important role in the Gross Domestic Product component of expenditure. In this study, author took independent variables savings and mudharabah deposits influencing Product. The agreement used study is mudharabah. Researchers use secondary data for quantitative research. Based on partial simultaneous tests, each variable consisting effect GDP (dependent variable). Multicollinea...

2017
Nesrin Akca Seda Sonmez Ali Yilmaz

Objective This study aimed to identify the major variables in the estimation of health expenditure in OECD member countries with the decision tree method and to categorize the member countries by health expenditure. Methods The study population comprised the 2014 data of the 35 OECD countries. In the study, health expenditure as a share of gross domestic product was the dependent variable whi...

2010
M. Shafiqur Rahman

GDP (Gross domestic product) and per capita GDP data of six GCC (Gulf Cooperation Council) countries were collected and analysed by randomized complete bock design and pair-wise multiple comparison. It is observed that GDP of Saudi Arabia is significantly higher than that of all other GCC countries. The GDP of Bahrain, Qatar, Oman and Kuwait are similar. The GDP of UAE is significantly higher t...

Journal: :Psychological science 2014
Elliot M Tucker-Drob Amanda K Cheung Daniel A Briley

Maximizing science achievement is a critical target of educational policy and has important implications for national and international economic and technological competitiveness. Previous research has identified both science interest and socioeconomic status (SES) as robust predictors of science achievement, but little research has examined their joint effects. In a data set drawn from approxi...

Fatemeh Irani-Kermani Maryam Ziaabadi Mohamad Reza Zare Mehrjerdi

Abstract In order to study energy consumption in Iran's agricultural sector, a Genetic algorithm concept was used to calculate significant factors affecting energy consumption between 1974 and 2008. Then, durability or "stability" of variables was assessed through econometric method (Augmented Dickey-Fuller test). In addition, long-term and short-term relationships of energy consumption were es...

2017
Dörthe Brüggmann Jana Kollascheck David Quarcoo Michael H Bendels Doris Klingelhöfer Frank Louwen Jenny M Jaque David A Groneberg

OBJECTIVE About 2% of all pregnancies are complicated by the implantation of the zygote outside the uterine cavity and termed ectopic pregnancy. Whereas a multitude of guidelines exists and related research is constantly growing, no thorough assessment of the global research architecture has been performed yet. Hence, we aim to assess the associated scientific activities in relation to geograph...

2012
Eleftherios Giovanis

In this paper we present an autoregressive model with neural networks modeling and standard error backpropagation algorithm training optimization in order to predict the gross domestic product (GDP) growth rate of four countries. Specifically we propose a kind of weighted regression, which can be used for econometric purposes, where the initial inputs are multiplied by the neural networks final...

2012
Eleftherios Giovanis

In this paper we present an autoregressive model with neural networks modeling and standard error backpropagation algorithm training optimization in order to predict the gross domestic product (GDP) growth rate of four countries. Specifically we propose a kind of weighted regression, which can be used for econometric purposes, where the initial inputs are multiplied by the neural networks final...

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