Topological Index Analysis Applied to Coupled Flow Networks

2018 ◽  
pp. 199-242 ◽  
Author(s):  
Ann-Kristin Baum ◽  
Michael Kolmbauer ◽  
Günter Offner
Keyword(s):  
Topological Index ◽  
Flow Networks ◽  
Coupled Flow ◽  
Index Analysis

Analisis Wilayah Kecamatan Potensial Melalui Pendekatan Tipologi Klassen di Kabupaten Ende

Analisis ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 39-49
Author(s):  
Estherlina Sagajoka
Keyword(s):  
Economic Development ◽  
Descriptive Analysis ◽  
Population Data ◽  
Spatial Inequality ◽  
Theil Index ◽  
Time Data ◽  
Entropy Index ◽  
Quantitative Descriptive Analysis ◽  
Index Analysis ◽  
The City

This study aims to determine the comparison of the results of the inequality analysis of economic development between districts / cities in the province of East Nusa Tenggara for the period of 2013-2018. The method used in this research is quantitative descriptive analysis using the Williamson index, and Theil Entropy Index, using time data per capita PDRB series and population data for each district / city in 2013-2018. The Williamson Index analysis results show that the economic development sector inequality in 21 districts in NTT province is very evenly distributed (low inequality) except for the city of Kupang, which has an Williamson Index value of 1.49 other than districts in NTT province in the period 2013-2018. The Intra Index Analysis Results show spatial inequality within the regency. The city of Nusa Tenggara Timur province is fairly evenly distributed within the regency except the city of Kupang  shows an unequal inequality compared to 21 other districts. Through the Theil Entropy Index calculation of development inequality between 21 regencies and Kupang  tend to widen (divergence) which has Theil  Index of 798,15, while the other 21 districts in the 2013-2018 period have the Theil Entropy Index Index 211,26 for Regencies and  TTS 201,11, while other districts have an index numberbelow 200.

scholarly journals Development and Structural Changes of Carbon Footprint in EU28

2021 ◽  
Vol 13 (9) ◽  
pp. 4771
Author(s):  
Josef Slaboch ◽  
Pavlína Hálová ◽  
Adriana Laputková
Keyword(s):  
Cluster Analysis ◽  
Waste Management ◽  
Carbon Footprint ◽  
Structural Changes ◽  
Energy Industry ◽  
The European Union ◽  
Topical Issue ◽  
Economic Sectors ◽  
Index Analysis ◽  
Per Capita

This paper discusses the topical issue which examines the development of CO2 emissions in individual countries of the European Union (EU28) for the period between 2000 and 2017. Carbon footprint is monitored in four basic economic sectors of the EU28 countries—energy, other industries, agriculture, and waste management. The purpose of this paper is to conduct a structural analysis of the percentage contribution of individual sectors while determining the average conversion of emissions in tonnes per capita for individual countries, subsequently identifying the tendencies in the development of the detected rates. A cluster analysis for the EU28 that demonstrate similar carbon footprint values in the examined economic areas is conducted for the findings. The partial aim of the paper is to perform a comparison of the monitored countries and detect whether the differences between those striving for decarbonisation are diminishing. The energy industry is the most significant contributor to emission levels. The index analysis indicates that the level of emissions throughout the EU28 in all the monitored sectors has decreased, predominantly in waste management (by 40%,) which is followed by industry (17%), energy (by 16.2%), and agriculture (by 5%). The cluster analysis conducted for 2000 and 2017 has confirmed the convergence of the identified groups of the EU28. Individual clusters of the countries thus display minor differences and converge in general.

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