scholarly journals Driving powers of the globalization on the urban ecology, a comparative study

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
M. Ebrahimi ◽  
B. Khalesi ◽  
M. R. Mansouri Daneshvar
Keyword(s):  
Carbon Dioxide ◽  
Wastewater Treatment ◽  
Urban Environment ◽  
Urban Areas ◽  
Carbon Dioxide Emissions ◽  
Urban Air Pollution ◽  
Carbon Dioxide Emission ◽  
Municipal Solid Wastes ◽  
Positive Role

Abstract Background The present study investigates the driving effects of globalization on the urban environment in two countries of Italy and Japan, which have the regular amplified economy among the advanced countries. For this purpose, a model with the collaboration of two main subjects of globalization coverage and urbanization and the methodological procedures of correlation test and structural analysis was constructed. A globalization index, namely the Maastricht globalization index (MGI), was assumed based on the integrated values of ten factors [HDI, ITA, GDP, FDI, TEI, GEE, GME, MCS, and IUI] besides three ecological indicators as the baseline of the urban environment, namely carbon dioxide emission (CDE), municipal solid wastes (MSW), and wastewater treatment plants (WTP). Results Results revealed the positive associations between globalization and wastewater treatment of urban areas in both countries, exposing the influential role of globalization in connecting the urban population to the sewage plants. The results confirmed the positive role of globalization in decreasing carbon dioxide emissions and overall its practical influences to mitigate urban air pollution. However, the overall globalization effect on urban waste production was estimated differently in both countries. Conclusions Based on the MICMAC analysis, only three factors, namely HDI, ITA, GDP, and FDI, can express driving powers and a significant share of globalization coverage. Consequently, enhancing such indicators that belong to globalization’s social and economic domains certainly can act as driver powers to mitigate the environmental issues of urbanization in the study areas.

scholarly journals The Problem of Carbon Dioxide Emissions from Closed Coal Mine Shafts – The Overview and the Case Study

2016 ◽  
Vol 61 (3) ◽  
pp. 587-600
Author(s):  
Paweł Wrona ◽  
Józef Sułkowski ◽  
Zenon Różański ◽  
Grzegorz Pach
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Mining Area ◽  
Emission Point ◽  
Water Pumping ◽  
Gas Hazard ◽  
Flow Through ◽  
Reporting Procedures

Abstract Greenhouse gas emissions are a common problem noticed in every mining area just after mine closures. However, there could be a significant local gas hazard for people with continuous (but variable) emission of these gases into the atmosphere. In the Upper Silesia area, there are 24 shafts left for water pumping purposes and gases can flow through them hydraulically. One of them – Gliwice II shaft – was selected for inspection. Carbon dioxide emission with no methane was detected here. Changes in emission and concentration of carbon dioxide around the shaft was the aim of research carried out. It was stated that a selected shaft can create two kinds of gas problems. The first relates to CO2 emission into the atmosphere. Possible emission of that gas during one minute was estimated at 5,11 kg CO2/min. The second problem refers to the local hazard at the surface. The emission was detected within a radius of 8m from the emission point at the level 1m above the ground. These kinds of matters should be subject to regular gas monitoring and reporting procedures.

Driving Factors Analysis of Carbon Dioxide Emissions in China Based on STIRPAT Model

2013 ◽  
Vol 734-737 ◽  
pp. 1910-1914 ◽  
Author(s):  
Qiao Zhi Zhao ◽  
Qing You Yan
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
Carbon Dioxide Emission ◽  
Urbanization Process ◽  
Stirpat Model ◽  
Factors Analysis ◽  
Secondary Industry

China is developing at relatively high speed, not only the regional development speed should be focused upon, but also the environmental impact of economic growth should be paid attention to, especially the level change of carbon dioxide emission. To some degree, quantity of carbon dioxide emission has become one of the most important indexes for measuring quality of a nations economic growth. Thus, this thesis is trying to analyze the driving relations between economic growth and carbon dioxide. Upon STIRPAT model, ridge regression method and elasticity theory are applied to analyze the influencing factors of carbon dioxide quantity such as the population quantity, Chinas urbanization process, per capita GDP, energy density and the percentage of the secondary industry. Correspondingly, based on the different influencing variables to carbon dioxide emission quantity, needy measures are brought out to control and decrease emissions. Feasible suggestions are trying to improve Chinas economic development quality.

scholarly journals ENERGY-RELATED CARBON DIOXIDE EMISSIONS AND ENVIRONMENTAL EFFICIENCY IN THE EUROPEAN UNION AGRICULTURE: COMPARISON OF DIFFERENT BENCHMARKING TECHNIQUES

2016 ◽  
Vol 38 (3) ◽  
pp. 192-206 ◽  
Author(s):  
Tomas Baležentis ◽  
Daiva Makutėnienė
Keyword(s):  
Carbon Dioxide ◽  
European Union ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Value Added ◽  
The European Union ◽  
Undesirable Output ◽  
Energy Technologies ◽  
Desirable Output ◽  
Low Performance

The literature suggests different approaches towards modelling of the environmental impact caused by the production processes. The present paper attempts to establish a framework for multicriteria comparison of agricultural sectors of the European Union Member States and identify the performance gaps in terms of energy-related carbon dioxide emission. The research relies on the two approaches, viz. the by-production approach and the multi-criteria decision making approach. The environmental performance indicators were evaluated in regards to the desirable output (gross value added), inputs, and the undesirable output (carbon dioxide emission). The results indicate that Slovakia, Estonia, Lithuania, and Hungary should attempt to improve their carbon factors by implementing cleaner energy technologies. The combinations of by-production sub-indices suggest that productivity gains are more important for Sweden, Belgium, Poland, and France. Czech Republic, Latvia, and Finland are specific with low performance in terms of both the intended production and the undesirable output. The MCDM approach identified similar trends in performance as suggested by country ranking and correlation analysis.

scholarly journals Analysis of monthly CO2 emission trends for major EU Countries: a time series approach

2021 ◽  
Author(s):  
Marco Quatrosi
Keyword(s):  
Carbon Dioxide ◽  
Crude Oil ◽  
Carbon Dioxide Emissions ◽  
Structural Breaks ◽  
Carbon Dioxide Emission ◽  
Diesel Oil ◽  
Hard Coal ◽  
Eu Countries ◽  
Greenhouse Gasses ◽  
Time Series Approach

<p>The following paper analyses monthly trends for CO<sub>2 </sub>emissions from energy consumption for 31 European countries, four primary fuels (i.e., Crude Oil, Natural Gas, Hard Coal, Lignite) and three secondary fuels (i.e., Gas/Diesel Oil, LPG, Naphta, Petroleum Coke) from 2008 to 2019. Carbon dioxide emission has been estimated following the Reference Approach in the 2006 IPCC Guidelines for National Greenhouse Gasses Inventories. Country-specific (e.g. Tier 2) coefficient were retrieved from the IPCC Emission Factor Database and the UN Common Reporting Framework. Data on fuel consumption (e.g., Gross Inland Deliveries) were taken from the Eurostat database. This paper will fill some knowledge gap analysing monthly trends of carbon dioxide emissions for major EU Countries. As the progressive phase-out of carbon is taking place pretty much in all Europe, Crude Oil exerted the largest amount of carbon dioxide emissions in the period considered. Analysis of selected countries unveiled several clusters within the EU in terms of major source of emissions. As final step, the paper has endeavoured the task of fitting a model for monthly CO<sub>2 </sub>forecasting. The whole series presents two structural breaks and can be explained by an autoregressive model of the first order. Indeed, further speculations on a more appropriate fit and more fuels in the estimation, is demanded to other works.</p>

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