Relation of economic and environmental indicators to the European Union Emission Trading System: a spatial analysis
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26867184%3A_____%2F19%3AN0000017" target="_blank" >RIV/26867184:_____/19:N0000017 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989592:15310/19:73599031
Výsledek na webu
<a href="http://geo.ujep.cz" target="_blank" >http://geo.ujep.cz</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/geosc-2019-0001" target="_blank" >10.2478/geosc-2019-0001</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Relation of economic and environmental indicators to the European Union Emission Trading System: a spatial analysis
Popis výsledku v původním jazyce
The main goal of this contribution is to evaluate the development of CO2 emissions and selected economic indicators of EU28 countries in the period from 2005 to 2015, and to capture geographical pattern and spatial distribution of countries emitting pollution. This will be performed within the context of the EU Emissions Trading System (ETS), which has represented a major scheme in Europe to cope with CO2 emissions since 2005. The actual situation in the field of the EU ETS is described and key scientific studies focusing on the EU ETS are presented. Based on a broad set of indicators we examine and evaluate possible geographical pattern in the development of selected indicators within the EU and provide detailed spatial analysis of economic and environmental data of EU28 countries, with the use of (geo)visual analysis of spatial data and spatial statistics (grouping analysis). The preliminary results of the (geo)visual analysis show that CO2 emissions within EU countries were decreasing in the selected period 2005–2015, with some exceptions (e.g. Iceland and Latvia). As the development of CO2 emissions in all EU countries is not similar, the other economic and environmental indicators were included (e.g. GDP, Investments) into the analysis in order to reveal a common (geographical) pattern and explain the current situation. Based on grouping/cluster analysis, it is possible to form territorial groups of EU states with similar development, which are almost perfectly in the line with current EU member states strategies of CO2 emissions trade. The current auction markets are well in tune with geographical and economic characteristics of particular EU countries. Results of grouping analysis of all indicators in 2015 using six Knearest neighbours underline current separate auction markets for Germany, the United Kingdom and Poland.It indicates that the system of emission auctions has logical background and the markets represent natural platforms for emission trading, corresponding to both economic and spatial characteristics of particular countries/polluters. Presented approach thus brings valuable information for policymakers both on the national and international level for the next phases of EU ETS scheme planning
Název v anglickém jazyce
Relation of economic and environmental indicators to the European Union Emission Trading System: a spatial analysis
Popis výsledku anglicky
The main goal of this contribution is to evaluate the development of CO2 emissions and selected economic indicators of EU28 countries in the period from 2005 to 2015, and to capture geographical pattern and spatial distribution of countries emitting pollution. This will be performed within the context of the EU Emissions Trading System (ETS), which has represented a major scheme in Europe to cope with CO2 emissions since 2005. The actual situation in the field of the EU ETS is described and key scientific studies focusing on the EU ETS are presented. Based on a broad set of indicators we examine and evaluate possible geographical pattern in the development of selected indicators within the EU and provide detailed spatial analysis of economic and environmental data of EU28 countries, with the use of (geo)visual analysis of spatial data and spatial statistics (grouping analysis). The preliminary results of the (geo)visual analysis show that CO2 emissions within EU countries were decreasing in the selected period 2005–2015, with some exceptions (e.g. Iceland and Latvia). As the development of CO2 emissions in all EU countries is not similar, the other economic and environmental indicators were included (e.g. GDP, Investments) into the analysis in order to reveal a common (geographical) pattern and explain the current situation. Based on grouping/cluster analysis, it is possible to form territorial groups of EU states with similar development, which are almost perfectly in the line with current EU member states strategies of CO2 emissions trade. The current auction markets are well in tune with geographical and economic characteristics of particular EU countries. Results of grouping analysis of all indicators in 2015 using six Knearest neighbours underline current separate auction markets for Germany, the United Kingdom and Poland.It indicates that the system of emission auctions has logical background and the markets represent natural platforms for emission trading, corresponding to both economic and spatial characteristics of particular countries/polluters. Presented approach thus brings valuable information for policymakers both on the national and international level for the next phases of EU ETS scheme planning
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50701 - Cultural and economic geography
Návaznosti výsledku
Projekt
—
Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
GeoScape
ISSN
1802-1115
e-ISSN
—
Svazek periodika
13
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
15
Strana od-do
1-15
Kód UT WoS článku
000473651800001
EID výsledku v databázi Scopus
2-s2.0-85068721692