scholarly journals Structure Decomposition Analysis of the Carbon Footprint Differences between Beijing and Tianjin

2013 ◽  
Vol 734-737 ◽  
pp. 1960-1963 ◽  
Author(s):  
Yan Wang ◽  
Hui Zhang ◽  
Tie Ying Wang
Keyword(s):  
Co2 Emissions ◽  
Carbon Footprint ◽  
Service System ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Total Carbon ◽  
Input Output ◽  
Full Life Cycle ◽  
Structure Decomposition ◽  
Relationship Of

Carbon footprint is the total amount of CO2 emissions by particular product or service system in it full life cycle, or, it is the total amount of direct and indirect CO2 emissions by activity principals. There are significant differences of provincial total carbon footprint result from the different energy efficiency, final demand and input-output relationship of intermediate products. Based on the Structure Decomposition Analysis and input-output model, the differences of carbon footprint between Beijing and Tianjin are analyzed in this paper. The results show that the total carbon footprint is higher in Beijing than that in Tianjin. The effect of carbon emission intensity on carbon footprint in Beijing is lower than Tianjin by 0.008 billion tons CO2; according to the complicated relationship between industries in Beijing, there is 0.029 billion tons CO2 more the carbon footprint than Tianjin, The demand scale and structure is higher than Tianjin, So in the factors of final requirements on carbon footprint, the carbon footprint of Beijing is higher than Tianjin by 0.058 billion tons CO2.

scholarly journals What Is the Environmental Impact of Wine Entering Global Value Chains? Studying the Evolution of CO2 Emissions from the Export of Spanish Denomination of Origin Wines

Foods ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1664
Author(s):  
Juan Sebastián Castillo-Valero ◽  
Inmaculada Carrasco ◽  
Marcos Carchano ◽  
Carmen Córcoles
Keyword(s):  
Environmental Impact ◽  
Co2 Emissions ◽  
Carbon Footprint ◽  
Environmental Performance ◽  
Service Provision ◽  
International Markets ◽  
Value Chains ◽  
Input Output ◽  
Continuous Growth ◽  
Wine Trade

The continuous growth of the international wine trade and the expansion of international markets is having significant commercial, but also environmental, impacts. The benefits of vineyards in terms of ecosystem service provision are offset by the increase in CO2 emissions generated by transportation. Denominations of Origin, as quality labels, emphasise a wine’s links to the terroir, where specific elements of culture and environment merge together. However, Denominations of Origin can also have differentiating elements as regards environmental performance. Drawing on an extended multiregional input–output model applied to the Spanish Denominations of Origin with the largest presence in the international wine trade, this study shows that wines with the greatest exporting tradition are those that most reduced their carbon footprint per litre of exported wine in the period 2005–2018, thus being the most environmentally efficient.

scholarly journals The Changes of Carbon Emission in China’s Industrial Sectors from 2002 to 2010: A Structural Decomposition Analysis and Input-Output Subsystem

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Guoxing Zhang ◽  
Mingxing Liu
Keyword(s):  
Carbon Emissions ◽  
Emission Intensity ◽  
Carbon Emission ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Good Effect ◽  
Input Output ◽  
Carbon Emission Intensity ◽  
Industrial Sectors ◽  
Three Components

Based on 2002–2010 comparable price input-output tables, this paper first calculates the carbon emissions of China’s industrial sectors with three components by input-output subsystems; next, we decompose the three components into effect of carbon emission intensity, effect of social technology, and effect of final demand separately by structure decomposition analysis; at last, we analyze the contribution of every effect to the total emissions by sectors, thus finding the key sectors and key factors which induce the changes of carbon emissions in China’s industrial sectors. Our results show that in the latest 8 years five departments have gotten the greatest increase in the changes of carbon emissions compare with other departments and the effect of final demand is the key factor leading to the increase of industrial total carbon emissions. The decomposed effects show a decrease in carbon emission due to the changes of carbon emission intensity between 2002 and 2010 compensated by an increase in carbon emissions caused by the rise in final demand of industrial sectors. And social technological changes on the reduction of carbon emissions did not play a very good effect and need further improvement.

The Change of Energy Consumption in China and its Driving Forces

2014 ◽  
Vol 700 ◽  
pp. 739-742
Author(s):  
Yi Cao ◽  
Shui Jun Peng ◽  
Wen Cheng Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Driving Forces ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Embodied Energy ◽  
Input Output ◽  
Structural Decomposition Analysis ◽  
Structural Decomposition ◽  
Key Driver

This paper estimates the changes of industrial embodied energy consumption in China between 1997 and 2007, and applies a structural decomposition analysis (SDA), based on non-competitive (import) input-output tables, to analyze the sources of change of China’s energy consumption from 1997 to 2007. Results show that China’s energy consumption increased sharply, especially after the accession to WTO. The SDA results indicate that the improvement of energy efficiency during 1997-2007 significantly reduced energy consumption in China while the growth of final demand was the key driver of China’s energy consumption. In addition, distribution of final demand with the declining share of consumption and the increasing share of export push energy consumption upward.

Accounting for China's Import Growth: A Structural Decomposition for 1997–2005

2011 ◽  
Vol 43 (12) ◽  
pp. 2971-2991 ◽  
Author(s):  
Jiansuo Pei ◽  
Erik Dietzenbacher ◽  
Jan Oosterhaven ◽  
Cuihong Yang
Keyword(s):  
Volume Growth ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Global Supply Chain ◽  
Input Output ◽  
Vertical Specialization ◽  
Structural Decomposition Analysis ◽  
Structural Decomposition ◽  
China’S Growth

This paper applies structural decomposition analysis to Chinese input–output tables in order to disentangle and quantify the sources of China's import growth and China's growth in vertical specialization: that is, China's incorporation into the global supply chain. China's exports and the role of processing trade therein have increased substantially in the last decade. Yet, they account for only one third of China's import growth from 1997 to 2005. Instead, the volume growth of China's domestic final demand is found to be most important. Moreover, compared with other countries, the structural change in input–output coefficients and in the commodity composition of domestic final demand turns out to be surprisingly important. Looking only at vertical specialization, it is concluded that more than half of its growth, from 21% in 1997 to 30% in 2005, is due to the growth of China's import ratios.

Accounting for carbon emissions associated with tourism-related consumption

2018 ◽  
Vol 24 (5) ◽  
pp. 510-525 ◽  
Author(s):  
Meiwei Tang ◽  
Shouzhong Ge
Keyword(s):  
Carbon Dioxide ◽  
Gross Domestic Product ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Value Added ◽  
Total Carbon ◽  
Low Carbon ◽  
Input Output ◽  
Output Table ◽  
Goods And Services

This article explores the issues of carbon dioxide (CO2) emissions resulting from the production of the goods and services provided to supply tourism consumption. First, we define the scope of tourism activities and the resulting tourism consumption and tourism direct gross value added (TDGVA). Second, we calculate CO2 emissions for sectors and compile a carbon input-output table (CIOT). Third, we adjust the tourism-related products consumed according to the range of the corresponding sectors of the CIOT. Finally, we use Shanghai as an example to calculate the carbon emissions that result from tourism consumption using the input-output model. This study shows that the TDGVA accounted for 7.97% of the Gross Domestic Product (GDP) in 2012, whereas the carbon footprint of tourism accounted for 20.45% of total carbon emissions. The results demonstrate that tourism is not a low-carbon industry in Shanghai.

scholarly journals Relaxing the import proportionality assumption in multi-regional input-output modelling

2021 ◽  
Author(s):  
Simon Schulte ◽  
Arthur Jakobs ◽  
Stefan Pauliuk
Keyword(s):  
International Trade ◽  
Carbon Footprint ◽  
Coefficient Of Variation ◽  
Trade Balance ◽  
Bilateral Trade ◽  
Water Footprint ◽  
Final Demand ◽  
Trade Flows ◽  
Input Output ◽  
Environmental Footprints

Abstract In the absence of data on the destination industry of international trade flows most multi-regional input-output (MRIO) tables are based on the import proportionality assumption. Under this assumption imported commodities are proportionally distributed over the target sectors (individual industries and final demand categories) of an importing region. Here, we quantify the uncertainty arising from the import proportionality assumption on the four major environmental footprints of the different regions and industries represented in the MRIO database EXIOBASE. We randomise the global import flows by applying an algorithm that randomly assigns imported commodities block-wise to the target sectors of an importing region, while maintaining the trade balance. We find the variability of the national footprints in general below a coefficient of variation (CV) of 4\%, except for the material, water and land footprints of highly trade-dependent and small economies. At the industry level the variability is higher with 25\% of the footprints having a CV above 10\% (carbon footprint), and above 30\% (land, material and water footprint), respectively, with maximum CVs up to 394\%. We provide a list of the variability of the national and industry environmental footprints in the online SI so that MRIO scholars can check if a industry/region that is important in their study ranks high, so that either the database can be improved through adding more details on bilateral trade, or the uncertainty can be calculated and reported.

Calculation of the carbon index of steel rolled products

2021 ◽  
pp. 53-59
Author(s):  
I. V. Butorina ◽  
M. V. Butorina
Keyword(s):  
Cast Iron ◽  
Co2 Emissions ◽  
Carbon Footprint ◽  
Carbon Tax ◽  
Total Carbon ◽  
Converter Steel ◽  
Rolled Steel ◽  
Energy Carriers ◽  
Paris Climate Agreement ◽  
The Eu

A method for calculating the carbon index, i.e. CO2 emissions in the production of a ton of rolled steel and intermediate products is proposed. The data on the use of various types of energy carriers in the production of sinter, coke, cast iron, steel and rolled products are presented. Carbon indexes for the production of these products are calculated and ways to reduce them are analyzed. It is shown that the carbon index of the production of a ton of rolled steel obtained for converter steel is slightly lower than the same index for the EU steelmaking enterprises, but the total carbon index of Russian rolled steel is 6.6 to 46 % higher than the European one due to the low share of electrometallurgy use in our country. Increasing the proportion of steel smelted in electric furnaces is the only viable way to reduce the carbon footprint to European levels and lower the carbon tax stipulated in the Paris Climate Agreement.

scholarly journals Evaluation of Tourism Eco-efficiency in Yangshuo County from the Perspective of Carbon Footprint

2018 ◽  
Vol 53 ◽  
pp. 03014
Author(s):  
Xiaoying Han ◽  
Jinye Wang ◽  
Ning Li
Keyword(s):  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Total Carbon ◽  
Input Output ◽  
Economic Profit ◽  
Model Based

According to the input-output theory, the paper quantitatively analyzes the tourism ecoefficiency of Yangshuo in 2017 by building a tourism eco-efficiency model based on carbon footprint. The research shows that: Firstly, the total carbon footprint of tourism traffic in 2017 is 791.22×106 kg; the total carbon footprint of tourism accommodation is 353.60×106 kg; the total carbon footprint of tourism activities is 123.29×106 kg. Secondly, the 2017 tourism eco-efficiency of the Yangshuo County is 8.05 RMB per kilogram. It refers to the economic profit is 8.05 RMB when 1 kilogram of carbon dioxide is produced, which is relatively efficient compared with other regions. Lastly, the paper makes suggestions with regarding to the optimization of the tourism eco-efficiency.

scholarly journals Relaxing the import proportionality assumption in multi-regional input–output modelling

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Simon Schulte ◽  
Arthur Jakobs ◽  
Stefan Pauliuk
Keyword(s):  
International Trade ◽  
Carbon Footprint ◽  
Coefficient Of Variation ◽  
Trade Balance ◽  
Bilateral Trade ◽  
Water Footprint ◽  
Final Demand ◽  
Trade Flows ◽  
Input Output ◽  
Environmental Footprints

AbstractIn the absence of data on the destination industry of international trade flows most multi-regional input–output (MRIO) tables are based on the import proportionality assumption. Under this assumption imported commodities are proportionally distributed over the target sectors (individual industries and final demand categories) of an importing region. Here, we quantify the uncertainty arising from the import proportionality assumption on the four major environmental footprints of the different regions and industries represented in the MRIO database EXIOBASE. We randomise the global import flows by applying an algorithm that randomly assigns imported commodities block-wise to the target sectors of an importing region, while maintaining the trade balance. We find the variability of the national footprints in general below a coefficient of variation (CV) of 4%, except for the material, water and land footprints of highly trade-dependent and small economies. At the industry level the variability is higher with 25% of the footprints having a CV above 10% (carbon footprint), and above 30% (land, material and water footprint), respectively, with maximum CVs up to 394%. We provide a list of the variability of the national and industry environmental footprints in the Additional files so that MRIO scholars can check if an industry/region that is important in their study ranks high, so that either the database can be improved through adding more details on bilateral trade, or the uncertainty can be calculated and reported.

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