Economic Development and Energy Intensity: A Panel Data Analysis

2007 ◽  
pp. 98-120 ◽  
Author(s):  
Ghislaine Destais ◽  
Julien Fouquau ◽  
Christophe Hurlin
Keyword(s):  
Economic Development ◽  
Data Analysis ◽  
Panel Data ◽  
Energy Intensity ◽  
Panel Data Analysis

scholarly journals Economic Development and Environmental Degradation in Indonesia: Panel Data Analysis

2021 ◽  
Vol 22 (2) ◽  
pp. Layouting
Author(s):  
M Irsyad Ilham
Keyword(s):  
Economic Development ◽  
Data Analysis ◽  
Panel Data ◽  
Population Density ◽  
Cross Section ◽  
Environmental Degradation ◽  
Environmental Quality ◽  
Panel Data Analysis ◽  
Policy Implications ◽  
Environmental Damage

This study analyzed the relationship of economic development, population density, and the number of vehicles on environmental degradation from 31 provinces in Indonesia for the period 2011-2019. Panel data analysis, which is widely used to examine issues that could not be studied in either cross-section or time-series alone, is used herein. The empirical results support the hypothesis on the direction of causality from those three factors of environmental damage in the country. The results concluded that economic development, population density, and the number of vehicles impacted on environmental degradation in Indonesia. The smallest cross-section random effect indicates the lowest environmental quality when all factors are fixed. The empirical findings provide important policy implications for Indonesia and it will direct its economic development model towards a green economic one. On the other hand, the growth of the population should be equalized with growth in human development. The distribution of population should be equalized among provinces by opening a new economic cluster to supply new work-fields. In addition, it should be for the country to create a more-educated population in order to protect environmental quality. Despite the unstoppable growth of vehicles, the government should implement the development of eco-friendly combustion technology besides reducing fuel consumption. Moreover, the road-making by plastic-based material can be considered to prevent land damage from plastic waste and might also recycle plastics which has caused pollution in Indonesia.

scholarly journals Crime and Economic Development in South Africa: A Panel Data Analysis

2021 ◽  
Vol IX (Issue 2) ◽  
pp. 424-438
Author(s):  
Leward Jeke ◽  
Tafadzwa Chitenderu ◽  
Clement Moyo
Keyword(s):  
South Africa ◽  
Economic Development ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis

scholarly journals National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central—Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2775
Author(s):  
Florian Marcel Nuţă ◽  
Alina Cristina Nuţă ◽  
Cristina Gabriela Zamfir ◽  
Stefan-Mihai Petrea ◽  
Dan Munteanu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Panel Data ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Urban Areas ◽  
Energy Intensity ◽  
Panel Data Analysis ◽  
Machine Learning Algorithms ◽  
The Impact

The work at hand assesses several driving factors of carbon emissions in terms of urbanization and energy-related parameters on a panel of emerging European economies, between 1990 and 2015. The use of machine learning algorithms and panel data analysis offered the possibility to determine the importance of the input variables by applying three algorithms (Random forest, XGBoost, and AdaBoost) and then by modeling the urbanization and the impact of energy intensity on the carbon emissions. The empirical results confirm the relationship between urbanization and energy intensity on CO2 emissions. The findings emphasize that separate components of energy consumption affect carbon emissions and, therefore, a transition toward renewable sources for energy needs is desirable. The models from the current study confirm previous studies’ observations made for other countries and regions. Urbanization, as a process, has an influence on the carbon emissions more than the actual urban regions do, confirming that all the activities carried out as urbanization efforts are more harmful than the resulted urban area. It is proper to say that the urban areas tend to embrace modern, more green technologies but the road to achieve environmentally friendly urban areas is accompanied by less environmentally friendly industries (such as the cement industry) and a high consumption of nonrenewable energy.

scholarly journals ENERGY INTENSITY DETERMINANT IN INDONESIA: A PANEL DATA ANALYSIS

2020 ◽  
Vol 28 (1) ◽  
pp. 53-63
Author(s):  
Rhisa Azaliah ◽  
Djoni Hartono
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Energy Intensity ◽  
Panel Data Analysis

Studi ini menginvestigasi peran PDRB per kapita, keterbukaan perdagangan, proporsi sektor industri, kepadatan penduduk, dan FDI per kapita terhadap intensitas energi di Indonesia. Analisis data panel digunakan untuk menganalisis pengaruh dari variabel-variabel tersebut terhadap intensitas energi pada 33 provinsi di Indonesia sepanjang tahun 2008-2015. Hasil dari studi ini menunjukkan bahwa intensitas energi pada level provinsi di Indonesia sangat ditentukan oleh aktivitas ekonomi daerah. Peran sektor industri dalam memengaruhi intensitas energi cukup dominan, didukung oleh temuan pada variabel keterbukaan perdagangan dan FDI per kapita. Oleh karena itu, kebijakan dalam bidang industri akan sangat memengaruhi tercapainya target Kementerian Energi dan Sumber Daya Mineral dalam menurunkan 1% intensitas energi per tahun.

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