scholarly journals Vulnerabilitatea comerțului exterior al Republicii Moldova analizată pe baza modelului gravitațional

2021 ◽  
pp. 78-84
Author(s):  
Mircea Diavor ◽  
Keyword(s):  
Panel Data ◽  
Per Capita

În articol este cercetată vulnerabilitatea comerțului exterior al Republicii Moldova, pe baza elaborării și analizei unui model gravitațional, pentru a determina și a cuantifica factorii ce afectează comerțul exterior. Distanța și mărimea economică a partenerilor comerciali stau la baza modelului gravitațional, și modelul creat de autor confirmă aceste ipoteze. Alt factor analizat pe baza modelului elaborat, utilizând diferența PIB per capita dintre Republica Moldova și partenerii comerciali ca variabilă independentă, confirmă relevanța modelului lui Ricardo. Analiza demonstrează că acordurile de liber schimb au un efect pozitiv asupra comerțului exterior, de asemenea efectul „Brussels” are un impact pozitiv și semnificativ asupra acestuia. În cercetare este analizat modelul gravitațional pentru Republica Moldova cu 20 de parteneri comerciali prin metoda econometrică panel dată regresie.

scholarly journals Determinants of Structural Transformation in ASEAN

2020 ◽  
Vol 35 (2) ◽  
pp. 137
Author(s):  
Kalies Sirieh Puspitowati ◽  
Deden Dinar Iskandar
Keyword(s):  
Panel Data ◽  
Structural Transformation ◽  
Value Added ◽  
Fixed Effect Model ◽  
Dependency Ratio ◽  
Service Value ◽  
Income Per Capita ◽  
Effect Model ◽  
Per Capita ◽  
Asean Countries

This study aims to analyze the determinants of the structural transformation in ASEAN countries. This study uses quantitative panel data from 9 countries in ASEAN from 2000 to 2017, thus makes up for 162 observations. This study employs panel data regression analysis with fixed effect model approach. In this study, the shifting of sectoral value added away from agriculture sectors indicates structural transformation. In particular, sectoral value added consists of the industrial value added and service value added. The results of this study shows that dependency ratio, income per capita, education, and trade significantly affect the increase of industrial value added during observation period. On the other hand, total population, dependency ratio, income per capita, education, control of corruption, and trade significantly increase the service value added over time.

Infrastructural Development

2017 ◽  
pp. 1-22 ◽  
Author(s):  
Maniklal Adhikary ◽  
Melisha Khatun
Keyword(s):  
Panel Data ◽  
Gross Domestic Product ◽  
Data Model ◽  
Electricity Production ◽  
Panel Data Model ◽  
Domestic Product ◽  
Rate Of Growth ◽  
Internet Users ◽  
Per Capita ◽  
The Impact

Development of infrastructure industries is essential to enhance the growth of a developing country. The present chapter attempts to examine the impact of infrastructure on Gross Domestic Product and Per Capita Gross Domestic Product of six SAARC countries from the period 1990-91 to 2013-14. The model is mis-specified whenever we have used the restricted panel data model. We have derived the results by employing the unrestricted panel data model. Impact of road, internet users and total electricity production on the level of GDP as well as on the level of PCGDP is highest for India among the all SAARC countries. India has also the highest rate of growth of GDP over the entire period. Rate of growth of PCGDP is highest for Sri Lanka followed by India.

Linkages Between Employment and Net FDI Inflow: Insights from Individual as Well as Panel Data for Emerging South Asian Labour Market

2020 ◽  
pp. 097215091987350
Author(s):  
Ramesh Chandra Das ◽  
Kamal Ray
Keyword(s):  
Panel Data ◽  
Error Correction ◽  
Labour Market ◽  
South Asian ◽  
Wald Test ◽  
Individual Country ◽  
Employment Level ◽  
Long Run ◽  
Short Run ◽  
Per Capita

In emerging labour market, particularly, the direct and indirect association between employment level and foreign direct investment (FDI) in a dynamic economy is non-deniable. Like private and public investments, FDI promotes employment generating agenda and at the same time, sound employment scenario of an economy attracts FDI to inflow. Under this backdrop, the present study attempts to examine whether employment and net FDI inflow have long-run associations and short-run dynamics in South Asian economies for the period 1991–2016. Applying cointegration and Granger causality tests for individual country level and panel cointegration, vector error correction and Wald test on the two standardized variables—employment–population ratio and per capita net FDI inflow—reveal that the two indicators have cointegrating relations for Bangladesh and Nepal and FDI makes a cause to employment generation in Bangladesh only. Further, the panel data exercise shows the existence of long-run or equilibrium relations linking the two indicators without significant error correction results. The Wald test results show that there is short-run causality working from employment ratio to per capita FDI and vice versa. The study, thus, prescribes for ensuring quality environment in the concerned domestic economies of the region so that employment opportunities invite FDI inflow to their territories.

scholarly journals Ketahanan Pangan di Kawasan Timur Indonesia

2012 ◽  
Vol 13 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Triana Rachmaningsih ◽  
D. S. Priyarsono
Keyword(s):  
Food Security ◽  
Panel Data ◽  
Tobit Model ◽  
Poor People ◽  
Eastern Indonesia ◽  
Per Capita ◽  
Years Of Schooling

AbstractThis study aims at analyzing the dynamics of food security and the factors that influence food security in Eastern Indonesia. The methodology used is panel data tobit model of 190 districts/municipalities in the Eastern Indonesia from 2008 to 2010. Based on the classication of the food security degree, the majority of households in Eastern Indonesia are categorized as the vulnerable. Food security is affected by percentage of poor people, GRDP per capita, female illiteracy rate and average years of schooling. Based on the elasticity, education has the highest contribution in improving food security in the Eastern Indonesia.Keywords: Food Security, Eastern Indonesia, Panel Data Tobit Model AbstrakStudi ini bertujuan untuk menganalisis dinamika ketahanan pangan, serta faktor-faktor yang memengaruhi ketahanan pangan di Kawasan Timur Indonesia (KTI). Ketahanan pangan dibagi tiga pilar, yaitu ketersediaan, aksesibilitas, dan pemanfaatan pangan. Metode yang digunakan adalah model tobit dengan data panel dari 190 kabupaten/kota di KTI Tahun 2008-2010. Berdasarkan klasikasi derajat ketahanan pangan, sebagian besar rumah tangga di KTI termasuk kategori rentan terhadap kerawanan pangan. Ketahanan pangan dipengaruhi oleh persentase penduduk miskin, PDRB per kapita, angka buta huruf perempuan, dan rata-rata lama sekolah. Berdasarkan nilai elastisitas, pendidikan memiliki pengaruh terbesar terhadap ketahanan pangan di KTI.Kata kunci: Ketahanan Pangan, Kawasan Timur Indonesia, Model Tobit Data Panel

scholarly journals Model Pertumbuhan Ekonomi Indonesia: Peranan Ketergantungan Spasial

2019 ◽  
Vol 19 (1) ◽  
pp. 62-83
Author(s):  
Aspiansyah Aspiansyah ◽  
Arie Damayanti
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Growth Model ◽  
Spatial Dependence ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
Spatial Spillover ◽  
Economic Growth Model ◽  
Per Capita

This study aims to examine the role of spatial dependence on Indonesia’s regional economic growth based on panel data of all provinces in Indonesia during 1990–2015. By using spatial durbin model, the authors found that spatial dependence plays an important role in achieving regional economic growth in Indonesia. Indonesia’s regional economic growth model that controls spatial dependence, yields better estimates than growth model that does not control spatial dependence. The researchers also found positive spatial spillover to Indonesia’s regional economic growth sourced from other region’s economic growth and initial per capita incomes, as well as population growth in other regions. ============================ Penelitian ini bertujuan untuk mengkaji peranan ketergantungan spasial terhadap pertumbuhan ekonomi regional Indonesia berdasarkan data panel seluruh provinsi di Indonesia selama tahun 1990–2015. Dengan menggunakan model durbin spasial, penulis menemukan bahwa ketergantungan spasial berperan penting dalam pencapaian pertumbuhan ekonomi regional di Indonesia. Model pertumbuhan ekonomi regional Indonesia yang mengontrol ketergantungan spasial menghasilkan estimasi yang lebih baik daripada model pertumbuhan ekonomi regional Indonesia yang tidak mengontrol ketergantungan spasial. Peneliti jugamenemukan terjadinya spatial spillover yang positif terhadap pertumbuhan ekonomi regional Indonesia yang bersumber dari pertumbuhan ekonomi wilayah lain, pendapatan per kapita awal dari wilayah lain dan pertumbuhan penduduk wilayah lain.

scholarly journals The Impact of OECD Countries’ Macroeconomic Factors on Turkey’s Foreign Trade

2017 ◽  
Vol 8 (1) ◽  
pp. 24
Author(s):  
Elif Guneren Genc ◽  
Ozlem Deniz Basar
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Urban Population ◽  
Economic Structure ◽  
Oecd Countries ◽  
Data Sets ◽  
Macroeconomic Factors ◽  
Macroeconomic Time Series ◽  
Per Capita ◽  
The Impact

The purpose of this study is to investigate the makroeconomic effects of OECD countries, having a major economic share in the regional communities, in the scope of complex economic structure, and accordingly, to determine the effects of those on Turkey's exports and imports. For this purpose, Turkey’s bilateral export and import volumes with OECD countries for the period of 1996 to 2014 were modelled by using these countries’ macroeconomic time series variables and panel data sets. It was revealed at the end of the study that the most determinant macroeconomic factors concerning the increase in Turkey’s import is the increase in per capita GNP in these countries. This variable is seen to be followed by these countries’ urban population, export indices and the export increases of Turkey for these countries respectively.

scholarly journals FROM EMPTY PEWS TO EMPTY CRADLES: FERTILITY DECLINE AMONG EUROPEAN CATHOLICS

2018 ◽  
Vol 84 (2) ◽  
pp. 149-187 ◽  
Author(s):  
Eli Berman ◽  
Laurence R. Iannaccone ◽  
Giuseppe Ragusa
Keyword(s):  
Panel Data ◽  
Labor Force Participation ◽  
Service Provision ◽  
Fertility Decline ◽  
Church Attendance ◽  
Southern Europe ◽  
Second Vatican Council ◽  
Vatican Council ◽  
Per Capita ◽  
Demand For Children

Abstract:Total fertility in the Catholic countries of Southern Europe has dropped to remarkably low rates (=1.4) despite continuing low rates female labor force participation and high historic fertility. We model three ways in whichreligionaffects the demand for children – through norms, market wages, and childrearing costs. We estimate these effects using new panel data on church attendance and clergy employment for 13 European countries from 1960 to 2000, spanning the Second Vatican Council (1962–65). Using nuns per capita as a proxy for service provision, we estimate fertility effects on the order of 300 to 400 children per nun. Moreover, nuns outperform priests as a predictor of fertility, suggesting that changes in childrearing costs dominate changes in theology and norms. Reduced church attendance also predicts fertility decline, but only for Catholics, not for Protestants. Service provision and attendance complement each other, a finding consistent with club models of religion.

Golf, supply and demand

2016 ◽  
Vol 23 (6) ◽  
pp. 1220-1234 ◽  
Author(s):  
E Bárcena-Martín ◽  
M Rodríguez-Fernández ◽  
S Borrego-Domínguez
Keyword(s):  
Panel Data ◽  
Financial Crisis ◽  
Stock Market ◽  
Supply And Demand ◽  
Dynamic Panel Data ◽  
Economic Situation ◽  
Gdp Per Capita ◽  
Economic Factors ◽  
Stock Market Index ◽  
Per Capita

Macroeconomic conditions can have a substantial effect on the economic circumstances of individuals and therefore on the golf demand in a country. Using panel data on golf demand (number of golf players) and supply (number of courses), and indicators of the economic situation for 15 European countries, encompassing years 2000 through 2014, we estimate a dynamic panel data model in order to evaluate the influence of the economic conditions and golf supply on the number of registered golfers. Economic situation is assessed through two variables: the gross domestic product (GDP) and the main stock market index of each country. We also test the hypothesis of uneven effects of the GDP before and after the beginning of the economic recession. The most crucial finding is that from the start of the financial crisis, the level of GDP imposes statistically significant effect on golf demand, making those countries with higher GDP per capita the ones whose golf demand is harmed the least by the financial crisis. The number of golf players responds to the state of the economy after the start of the economic downturns, while the high persistence of the golf demand makes it rather difficult to find significant differences in the changes in GDP before the recession. We also find that the number of golf courses is not seen to bear a close relationship with the number of players unless we control for economic factors and business cycle. Within the economic factors, the level of development of a country, as measured by GDP per capita, outweighs stock market role in determining the demand for golf.

scholarly journals Health Care Expenditure and GDP in African Countries: Evidence from Semiparametric Estimation with Panel Data

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Zhike Lv ◽  
Huiming Zhu
Keyword(s):  
Health Care ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Health Care Expenditure ◽  
Large Body ◽  
Developed Countries ◽  
Infant Mortality Rate ◽  
African Countries ◽  
Per Capita ◽  
The Relationship

A large body of literature studies on the relationship between health care expenditure (HCE) and GDP have been analyzed using data intensively from developed countries, but little is known for other regions. This paper considers a semiparametric panel data analysis for the study of the relationship between per capita HCE and per capita GDP for 42 African countries over the period 1995–2009. We found that infant mortality rate per 1,000 live births has a negative effect on per capita HCE, while the proportion of the population aged 65 is statistically insignificant in African countries. Furthermore, we found that the income elasticity is not constant but varies with income level, and health care is a necessity rather than a luxury for African countries.

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