scholarly journals EFFECTS OF OIL PRICE CHANGES ON REGIONAL REAL INCOME PER CAPITA IN KAZAKHSTAN: PANEL DATA ANALYSIS

2019 ◽  
Vol 9 (4) ◽  
pp. 356-362
Author(s):  
Sabit Baimaganbetov ◽  
Dinmukhamed Kelesbayev ◽  
Rima Yermankulova ◽  
Bibigul Izzatullaeva ◽  
Botagoz Almukhambetova
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Real Income ◽  
Oil Price ◽  
Price Changes ◽  
Income Per Capita ◽  
Per Capita

scholarly journals Different convergence rates of new EU member states: Panel data analysis of the causes

2020 ◽  
Vol 11 (2) ◽  
pp. 291-300
Author(s):  
Josip Viskovic ◽  
Pasko Burnac ◽  
Ivan Ramljak
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Convergence Rates ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Real Income ◽  
Key Factors ◽  
Eu Member States ◽  
Determining Factors ◽  
Institutional Convergence

This paper, using panel data analysis, tries to identify factors regarding the different convergence rates of CESEE EU member countries’ real income between 2002 and 2018. Stylized convergence facts are identified and the drivers of economic growth based on production function, i.e. the accumulation of labour and capital and total factor productivity (TFP) growth have been analysed. Moreover, paper takes into account other variables that have been recognized as growth determining factors - trade openness, FDI, labour market and integration level, as well as TFP determining factors - institutional quality, innovation and human capital. Based on the research results trade openness and gross capital formation have been identified as key factors regarding real income growth of analysed countries. Also, it has been confirmed that growth of CESEE countries is strongly affected by the growth of Eurozone. Finally, the authors’ conclusion is that several CESEE countries are facing institutional convergence challenges.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI KREDIT PERUMAHAN DI INDONESIA

Media Ekonomi ◽  
2019 ◽  
Vol 26 (1) ◽  
pp. 55
Author(s):  
Salsabila Ganthari ◽  
Syafri Syafri
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Foreign Banks ◽  
Regional Government ◽  
Per Capita ◽  
Investment Goods

<em>This study aims to analyze the factors that affect housing loans as seen from four banking groups, the State Bank, Regional Government Banks, Private National Banks, and Foreign Banks and Joint Banks. <em>This study uses quarterly panel data from 2012: 1-2016: 1. Data analysis was performed using multiple linear regression analysis panel data. <em>Houses are an important requirement for all humanity, not only as consumer goods but also investment goods. Banking helps prospective customers by providing a credit facility called Housing Loans. Based on the results of the panel data analysis shows that the level of loans and income per capita have a significant effect on housing loans, while loan to value does not significantly influence housing loans.</em></em></em>

scholarly journals Peru's Regional Growth and Convergence in 1979-2017: An Empirical Spatial Panel Data Analysis

2019 ◽  
Author(s):  
Juan Palomino ◽  
Gabriel Rodríguez
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Regional Growth ◽  
Spatial Panel ◽  
Spatial Panel Data ◽  
Per Capita

Este artículo analiza el proceso de convergencia espacial del crecimiento en las 24 regiones del Perú durante el período 1979-2017. Realizamos un análisis exploratorio de datos espaciales con estadísticas globales y locales, como Moran I, para proporcionar evidencia empírica de las dependencias espaciales en el PIB per cápita regional. . Luego, estimamos la ecuación de convergencia utilizando modelos de panel espacial que controlan la heterogeneidad espacial y la interdependencia espacial, así como otras características económicas estructurales a nivel regional. Los resultados empíricos muestran que la convergencia espacial es una conclusión muy confiable durante este período y demuestran que los derrames regionales del PIB per cápita espacial juegan un papel esencial en la determinación del crecimiento a nivel local. Además, se prefiere el modelo Spatial Durbin en la formación de cuatro grupos de convergencia. El primer clúster es muy productivo y dinámico; el segundo conglomerado está compuesto por regiones selváticas y de productividad negativa; el tercer conglomerado está formado por regiones moderadamente productivas y costeras; y el cuarto grupo está compuesto por regiones estancadas y montañosas. Por último, estos resultados pueden ser fundamentales para dar un mayor enfoque a las políticas gubernamentales a largo plazo dirigidas a las regiones pobres y estancadas.

scholarly journals The Determinants of Indonesian Textile’s and Clothing Export to the Five Countries of Export Destination

ETIKONOMI ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Faizal Irvansyah ◽  
Hermanto Siregar ◽  
Tanti Novianti
Keyword(s):  
United States ◽  
Time Series ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
The United States ◽  
Destination Country ◽  
Gdp Per Capita ◽  
Per Capita ◽  
Export Destination

Indonesian textile and clothing products (TPT) is the second-largest export product after oil palm product. There are five biggest export destination countries, that is the United States, Japan, South Korea, and Turkey. This study aims to analyze the factors that affect TPT exports to the five biggest export destination countries. The factors that affect TPT exports examined by using time series and panel data analysis. Using panel data analysis finds that GDP per capita of the destination country, the exchange rate of the Rupiah, the price of textiles in the destination country, and import tariffs stipulate in the destination country affect TPT exports. Then, using time series analysis finds that GDP per capita and import tariffs affected TPT export to the United States, China, and Turkey. Meanwhile, the factors influencing Indonesian textile exports to Japan and South Korea are textile prices, rupiah exchange rates, and import tariffs.JEL Classification: F14, F43How to Cite:Irvansyah, F., Siregar, H., & Novianti, T. (2020). The Determinants of Indonesian Textile’s and Clothing Export to the Five Countries of Export Destination. Etikonomi: Jurnal Ekonomi, 19(1), 19 – 30. https://doi.org/10.15408/etk.v19i1.14845.

scholarly journals Determinant of Car Demand in Java Island

2019 ◽  
Vol 8 (1) ◽  
pp. 1-8
Author(s):  
Dyah Candra Kirana ◽  
Prasetyo Ari Bowo
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Cross Section ◽  
Time Series Data ◽  
Panel Data Analysis ◽  
Least Square ◽  
Series Data ◽  
Cross Section Data ◽  
Section Data ◽  
Per Capita

The purpose of this research is to examine factors that affect car demand in Java Island in 2012-2016. The research method used in this research is panel least square The data used in this research is panel data. The panel data consists of time series data (2012-2106) and cross section data (six province in Java Island, those are DKI Jakarta, Jawa Barat, Jawa Tengah, DI Yogyakarta, Jawa Timur, and Banten). Data were obtained from Central Bureau of Statistic Republic of Indonesia (BPS). Data analysis used is panel data analysis. The results showed that income per capita, population, and inflation have simultan effect on car demand in Java Island in 2012-2016. Per capita income has a positive and significant effect on car demand in Java Island in 2012-2016. Population has a positive and significant effect on car demand in Java Island in 2012-2016. Inflation has positive and insignificant effect on car demand in Java Island in 2012-2016.

scholarly journals Government Expenditure and Human Development in Indonesia

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Johan Beni Maharda ◽  
Bunga Zharfa Aulia
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Human Development ◽  
Human Development Index ◽  
Panel Data Analysis ◽  
Government Expenditure ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Per Capita

This study aims to estimate the association between government expenditure and human development index (HDI) in Indonesia. Due to inequal HDI attainment, this study focuses on 12 provinces which categorized as provinces with low level of HDI in Indonesia. This study employs fixed effect model (FEM) panel data analysis on provincial level datasets from 2010 to 2018. This study found that the increase of government expenditure on education significantly increases HDI, while government expenditure on health has no significant association with HDI. Major finding of the study highlights the role of gross regional domestic product (GRDP) per capita in increasing HDI on 12 provinces in Indonesia. Keywords: Government expenditure on education, government expenditure on health, HDI, FEM.

scholarly journals PENGARUH VARIABEL MAKRO EKONOMI DAN HARGA MINYAK DUNIA TERHADAP INDUSTRI HALAL

2020 ◽  
Vol 6 (9) ◽  
pp. 1840
Author(s):  
Ali Mahdy Arrosikh ◽  
Ilmiawan Auwalin
Keyword(s):  
Exchange Rate ◽  
Data Analysis ◽  
Panel Data ◽  
World Bank ◽  
Inflation Rate ◽  
Social Research ◽  
Panel Data Analysis ◽  
Oil Price ◽  
Training Centre ◽  
And Training

This paper aims to discover the influence of inflation rate, exchange rate, global’s oil price and FDI toward halal industry in 48 OIC’s member Countries. This research uses data by Statistical, Economic and Social Research and Training Centre for Islamic Countries (Sesric), world bank and Thomas Reuters with quantative approach and were analyzed by using panel data analysis. According to the result it is have positive significant influence to the halal industry in 48 OIC Countries. Inflation rate have a significant positive influant; exchange rate have a non significant positive influant; global’s oil price have a significant negative influant; and FDI have a non-significant negative influant toward the increasing of the unemployment rate in 48 OIC’s Countries.Keywords: Halal Industry, Inflation, Exchange Rate, Global’s Oil Price, FDI

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