scholarly journals Research on Inter-Provincial Transfer of CO2 Emissions from Transportation by Considering Fuzzy Parameter

2021 ◽  
Vol 13 (13) ◽  
pp. 7475
Author(s):  
Ying Zhu ◽  
Tianhao Cui ◽  
Yanzheng Liu ◽  
Qin Zhou ◽  
Yexin Li
Keyword(s):  
Linear Programming ◽  
Natural Gas ◽  
Co2 Emissions ◽  
Energy Demand ◽  
Co2 Reduction ◽  
Fuzzy Linear Programming ◽  
Input Output ◽  
Ecological Network ◽  
Output Analysis ◽  
Fuzzy Parameter

CO2 reduction from transportation is exerting significant effects on global CO2 reduction. This industry contributes 23.96% of global CO2 emissions. In this research, an ecological network input–output interval fuzzy linear programming (EIFP) method is developed to clarify CO2 reduction responsibilities and depict transfer relationships of transportation. This method integrates input–output analysis (IOA), inexact rough interval fuzzy linear programming (IRFLP) and ecological network analysis (ENA) into a general framework. The proposed method is employed for calculating inter-provincial CO2 transfer under different situations in 30 provinces of China and further supporting the formulation of regional reduction policies. Results demonstrate that transportation energy demand of Beijing is dependent on imports, which indirectly increases CO2 reduction pressure in energy supply areas. Therefore, CO2 reduction responsibility should be traced to source and included in emission reduction plan of energy demand areas. In inter-provincial CO2 transfer relationships of natural gas, positive relationships account for a higher proportion; therefore, it is feasible to consider raising the proportion of natural gas in the future development direction of transportation. The achievements of this paper can provide scientific references for decision makers to formulate CO2 reduction policies in transportation.

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

CO2 emissions embodied in China–US trade: Input–output analysis based on the emergy/dollar ratio

Energy Policy ◽  
2011 ◽  
Vol 39 (10) ◽  
pp. 5980-5987 ◽  
Author(s):  
Huibin Du ◽  
Jianghong Guo ◽  
Guozhu Mao ◽  
Alexander M. Smith ◽  
Xuxu Wang ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis

scholarly journals Identifying industrial restructuring strategy for CO2 emissions reduction in China: A multi-region input-output linear programming model

2019 ◽  
pp. 12-25
Author(s):  
Jidong Kang ◽  
Tsan Sheng Ng
Keyword(s):  
Linear Programming ◽  
Co2 Emissions ◽  
Programming Model ◽  
Linear Programming Model ◽  
Industrial Restructuring ◽  
Emissions Reduction ◽  
Input Output ◽  
Optimal Sequence ◽  
Negative Effect ◽  
Restructuring Strategy

The current paper combines multi-regional input-output model and linear programming model to identify industrial shift strategies for CO2 emissions reduction in China. As a supplement to the previous studies, the optimal sequence of demand regulation for various products is explored. The results show that demand side regulation would pose negative effect on both GDP and CO2 emissions. However, certain strategies can be adopted to decrease CO2 emissions at the minimum decrease in GDP. According to the optimal sequence analysis, a group of key final products, such as the metallurgy products, the nonmetal products, the metal products, and the chemical products should be firstly regulated. Most of these key products concentrate in the eastern and coastal regions in China. Our model can be used to aid policy makers in design of effective industrial restructuring policy to achieve the national emissions targets.

scholarly journals On the method for estimating technical coefficients of input-output analysis

2015 ◽  
Vol 1 (3) ◽  
pp. 8-12
Author(s):  
Do Van Sy ◽  
Bui The Tam ◽  
Nguyen Van Thieu
Keyword(s):  
Linear Programming ◽  
Numerical Data ◽  
Final Demand ◽  
Computational Results ◽  
Input Output ◽  
Analysis Model ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Linear Programming Problems ◽  
Technical Coefficients

In this paper a new method is presented for estimating the technical coefficients of the input-output analysis model with six sectors by using  the statistical numerical data on the gross domestic product and the  final demand and solving the system of the linear programming problems. The computational results presented in this  paper are more precise than that of the others in the last time. 

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