scholarly journals Identifying Interindustry CO2 Emissions Transfer Structure Using Network Methods

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiaozhen Chen ◽  
Wenwen Xiao
Keyword(s):  
Co2 Emissions ◽  
Transfer Process ◽  
Network Topology ◽  
Input Output ◽  
Empirical Results ◽  
Network Methods ◽  
Transfer Structure ◽  
Bow Tie

People's production and life have been inseparable from the consumption of various products, which often directly or indirectly release CO2. As CO2 emissions can transfer among industries, the identification and classification of the industries that release CO2 directly or indirectly can contribute to curbing the CO2 emissions. This paper proposes an input-output-based methodology to measure CO2 emissions transfer caused by linkages between industries in an economy and constructs the network topology in terms of the remarkable coefficients of interindustry CO2 emissions transfer. We classify all industries according to the role played in the emissions transfer process, and the network is represented by a “Bow-Tie” structure. In the visualization expression, it is easy to find the star nodes and the transmission paths of CO2 emissions among industries. Finally, the method is applied to the case of China. Empirical results indicate that the method developed in this paper provides new tools for the study of industrial CO2 emissions theory.

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.

Classification of Tree and Network Topology Structures in Medical Images

2012 ◽  
pp. 79-90 ◽  
Author(s):  
Angeliki Skoura ◽  
Vasileios Megalooikonomou ◽  
Athanasios Diamantopoulos ◽  
George C. Kagadis ◽  
Dimitrios Karnabatidis
Keyword(s):  
Network Topology ◽  
Medical Images

scholarly journals The Impact of Polish-German Trade Flows on CO2 Emissions

2012 ◽  
Vol 11 (1) ◽  
pp. 152-164
Author(s):  
Jan T. Mizgajski
Keyword(s):  
Co2 Emissions ◽  
Trade Flows ◽  
Input Output ◽  
Output Analysis ◽  
German Trade ◽  
Input Output Analysis ◽  
Embodied Carbon ◽  
The Impact

Abstract This study analyses the embodied carbon in the trade flows between Poland and Germany. The calculations are based on data from Eurostat and OECD for 2008. The study uses input-output analysis, which allows the assignment of responsibility to individual flows for generating specific amounts of emissions in the economy. It demonstrates that Polish exports to Germany contain significantly more embodied carbon than do imports from Germany, despite the fact that the value of imports is higher. Moreover, it is found that Polish-German trade flows were responsible for more CO2 emissions that Lithuania and Latvia emitted together in 2008.

Input-Output Analysis of German and UK CO2 Emissions

1993 ◽  
pp. 170-192
Author(s):  
John L. R. Proops ◽  
Malte Faber ◽  
Gerhard Wagenhals
Keyword(s):  
Co2 Emissions ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis

German and UK Input-Output Data for Studying CO2 Emissions

1993 ◽  
pp. 149-169
Author(s):  
John L. R. Proops ◽  
Malte Faber ◽  
Gerhard Wagenhals
Keyword(s):  
Co2 Emissions ◽  
Input Output ◽  
Output Data

scholarly journals Exploring Potential Pathways toward Energy-Related Carbon Emission Reduction in Heavy Industrial Regions of China: An Input–Output Approach

2020 ◽  
Vol 12 (5) ◽  
pp. 2148 ◽  
Author(s):  
Jingyao Peng ◽  
Yidi Sun ◽  
Junnian Song ◽  
Wei Yang
Keyword(s):  
Energy Consumption ◽  
Co2 Emissions ◽  
Emission Intensity ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Carbon Emission ◽  
Input Output ◽  
Carbon Emission Reduction ◽  
Industrial Regions ◽  
Co2 Emission Intensity

It is a very urgent issue to reduce energy-related carbon emissions in China. The three northeastern provinces (Heilongjiang (HLJ), Jilin (JL), and Liaoning (LN)) are typical heavy industrial regions in China, playing an important role in the national carbon emission reduction target. In this study, we analyzed the energy consumption, carbon dioxide (CO2) emissions, and CO2 emission intensity of each sector in the three regions, and we compared them with the national level and those of China’s most developed province Guangdong (GD). Then, based on an input–output (I–O) framework, linkage analysis of production and CO2 emission from sector–system and sector–sector dimensions was conducted. The results showed that the three regions accounted for about 1/10 of China’s energy consumption and 1/6 of China’s CO2 emissions in 2012. In addition, the level of energy structure, CO2 emission intensity, and sectoral structure lagged behind China’s average level, much lower than those for GD. According to the sectoral characteristics of each region and unified backward/forward linkages of production and CO2 emissions, we divided sectoral clusters into those whose development was to be encouraged and those whose development was to be restricted. The results of this paper could provide policy–makers with reference to exploring potential pathways toward energy-related carbon emission reduction in heavy industrial regions.

scholarly journals Balancing Tourism’s Economic Benefit and CO2 Emissions: An Insight from Input–Output and Tourism Satellite Account Analysis

2019 ◽  
Vol 11 (4) ◽  
pp. 1052 ◽  
Author(s):  
Ling Li ◽  
Jingjing Li ◽  
Ling Tang ◽  
Shouyang Wang
Keyword(s):  
Economic Growth ◽  
Environmental Pollution ◽  
Co2 Emissions ◽  
Economic Benefit ◽  
Analytical Approach ◽  
Input Output ◽  
Change Rate ◽  
Benefit Estimation ◽  
Emissions Intensity ◽  
High Benefit

To balance tourism’s economic benefit and environmental pollution, this paper proposes an analytical approach by using the input–output (IO) model and tourism satellite accounts (TSA). Four steps are taken: (1) the setting of system boundaries according to the combined IO and TSA database; (2) economic benefit estimation for tourism income, sectoral multipliers and inter-sector linkages; (3) environmental pollution estimation of direct and indirect CO2 emissions; and (4) a policy analysis to balance the economic benefit and CO2 emissions (in terms of reducing the CO2 emissions intensity) in tourism-related sectors. In the case of Beijing, some interesting insights can be obtained. Beijing’s tourism sectors experienced a fast economic growth and a clear decrease in CO2 emissions during 2007–2012, with the former having a greater absolute change rate (particularly for the shopping and sightseeing sectors). In all tourism sectors (except for transportation), the indirect CO2 emissions were over three times greater than the direct CO2 emissions. Transportation was a leading contributor to both the economic benefit (representing 91.65% of tourism income in 2012) and to environmental pollution (representing 38.75% of tourism-related CO2 emissions). The detailed findings regarding the industrial and energy structures offer insightful policies for a high-benefit and low-emissions development of tourism.

Supervised Adaptive Hamming Net for Classification of Multiple-Valued Patterns

1997 ◽  
Vol 08 (02) ◽  
pp. 181-200
Author(s):  
Cheng-An Hung ◽  
Sheng-Fuu Lin
Keyword(s):  
Upper Bound ◽  
Incremental Learning ◽  
Arbitrary Sequence ◽  
Input Output ◽  
Multiple Valued Logic

A Supervised Adaptive Hamming Net (SAHN) is introduced for incremental learning of recognition categories in response to arbitrary sequence of multiple-valued or binary-valued input patterns. The binary-valued SAHN derived from the Adaptive Hamming Net (AHN) is functionally equivalent to a simplified ARTMAP, which is specifically designed to establish many-to-one mappings. The generalization to learning multiple-valued input patterns is achieved by incorporating multiple-valued logic into the AHN. In this paper, we examine some useful properties of learning in a P-valued SAHN. In particular, an upper bound is derived on the number of epochs required by the P-valued SAHN to learn a list of input-output pairs that is repeatedly presented to the architecture. Furthermore, we connect the P-valued SAHN with the binary-valued SAHN via the thermometer code.

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