Rapid Economic Growth at the Cost of Environment Degradation? - Panel Data Evidence from BRIC Economies

2008 ◽  
Author(s):  
Juan Piñeiro Chousa ◽  
Artur Tamazian ◽  
Krishna Chaitanya V.
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Rapid Economic Growth ◽  
The Cost ◽  
Environment Degradation

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PENYERAPAN TENAGA KERJA DI SEKTOR INDUSTRI DAN PERDAGANGAN DI KABUPATEN/KOTA DI SUMATERA BARAT

Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 634
Author(s):  
Muhammad Aidil Idham ◽  
Alpon Satrianto
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Regression Model ◽  
Analytical Method ◽  
T Test ◽  
Sequential Data ◽  
Education And Health ◽  
West Sumatra ◽  
The Cost ◽  
Economic Strengthening

This study aims to determine and analyze the factors that influence labor in the industrial and trade sectors in the province of West Sumatra. The type of data in this study is panel data from 19 districts / cities in West Sumatra. In analyzing sequential data for 2011 to 2015, the analytical method is the Regression Model Panel, the Classic Assumption Test and the t Test. Based on the results of testing the economic growth of West Sumatra, this is significant for workers in West Sumatra, while education and health have no significant effect on workers in West Sumatra. Positive economic strengthening of labor absorption Increased economic growth. While education and health do not have the cost to work..   Keywords:  economic growth, education, health and labor

scholarly journals The Relationship between Air Transport and Economic Growth in Turkey: Cross-Regional Panel Data Analysis Approach

2015 ◽  
Vol 7 (1(J)) ◽  
pp. 89-100 ◽  
Author(s):  
Nuri Baltaci ◽  
Gizem Akbulut .
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Cultural Development ◽  
Least Square ◽  
Air Transport ◽  
Study Region ◽  
Transportation Sector ◽  
Macroeconomic Indicators ◽  
The Cost

Today, the economic and social effects of the airports on the region they are located are widely accepted throughout the world including Turkey. In developing countries transportation sector is a significant tool of development. Since millennium there has been a great growth in the number of people who prefer air transportation in Turkey. The decrease in the cost of the transportation of both passengers and freight in air transport leads the increase of its accessibility. In this concept when a region has an active airport it helps to increase the region’s competitiveness and support its economic, social and cultural development. The aim of this study is to analyze whether an active airport and its traffic frequency have an effect on country’s macroeconomic indicators. In this study region - fixed effect and two stage least square (2SLS) models are applied with using panel data for 26 sub-regions at NUTS 2 level in Turkey period of 2004 - 2011. The results of this study support that increasing in number of active airports and its traffic frequency have a positive effect on regional economic growth.

Potentials for demographic dividend and rapid economic growth in Mali: What policy scenario would yield the greatest dividend?

2018 ◽  
Vol 15 (1) ◽  
pp. 7-15
Author(s):  
Clifford O. Odimegwu ◽  
Emmanuel O. Olamijuwon
Keyword(s):  
Family Planning ◽  
Economic Reforms ◽  
High Fertility ◽  
Economic Policies ◽  
Access To Education ◽  
Demographic Dividend ◽  
Policy Scenario ◽  
Rapid Economic Growth ◽  
Per Capita ◽  
The Cost

Abstract The demographic changes occurring in Mali, evident in high fertility but declining mortality rates have raised optimism about the prospects of reaping demographic dividend. However, it remains unclear how soon and what policy scenario would yield the largest demographic dividend in the country. We used a demographic-economic model “DemDiv” to assess the prospects of reaping a demographic dividend in Mali by 2050. We illuminate this further by examining the cost and implications of different combination of education, family planning and economic policies. The results show that by increasing access to education, family planning services coupled with strong economic reforms, Mali’s GDP per capita will be $27,044 by 2050. This high per capita GDP is almost thrice the benefit of prioritising only economic reforms. Mali would also have a GDP of $977 billion. These findings highlight the need for sound demographic and market-oriented economic policies for Mali to reap a large demographic dividend by 2050.

PENGARUH PEMBANGUNAN INFRASTRUKTUR TERHADAP PDRB DI PROVINSI INDONESIA

Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 15-27
Author(s):  
Suripto Suripto ◽  
Eva Dwi Lestari
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Infrastructure Investment ◽  
Water Infrastructure ◽  
Infrastructure Development ◽  
Road Infrastructure ◽  
Health Infrastructure ◽  
Spatial Coverage ◽  
The Government

Economic growth is one indicator to measure  the success of economic development in a country. Economic development is closely related to infrastructure. Infrastructure development will have an impact on economic growth both directly and indirectly. Therefore, the role of the government in determining infrastructure development policies is very important to increase economic growth in Indonesia. The purpose of this study is to determine the effect of infrastructure on economic growth in Indonesia including road infrastructure, electricity infrastructure, investment, water infrastructure, education infrastructure and health infrastructure in Indonesia in 2015-2017.The analytical tool used in this study is panel data regression with the approach of Fixed Effect Model. The spatial coverage of this study is all provinces in Indonesia, namely 34 provinces, with a series of data from 2015 to 2017 with a total of 102 observations. The data used is secondary data obtained from BPS Indonesia.The results of the study show that (1) the road infrastructure variables have a negative and not significant effect on GDRP. (2) electrical infrastructure variables have a negative and not significant effect on GDRP. (3) investment variables have a positive and significant effect on GDRP. (4) water infrastructure variables have a positive and not significant effect on GDRP. (5) educational infrastructure variables have a positive and not significant effect on GDRP. (6) health infrastructure variables have a positive and significant effect on GDRP. Keywords: development, infrastructure, investment, GDRP, panel data

Sign in / Sign up

Export Citation Format

Share Document