scholarly journals Carbon Emissions and Carbon Intensity in China’s Exports: A Contrast of SRIO and GIRIO Methods

2015 ◽  
Vol 3 (6) ◽  
pp. 499-512
Author(s):  
Hao Xiao ◽  
Jianguo Wang ◽  
Qiao Zhu ◽  
Han Qiao
Keyword(s):  
Developing Countries ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Global Supply Chain ◽  
Trade Flows ◽  
Carbon Intensity ◽  
Input Output ◽  
Dramatic Decrease ◽  
Foreign Countries ◽  
Direct Trade

AbstractThis paper compares differences between single regional input-output (SRIO) model and global interregional IO model (GIRIO) used in the area of carbon emission embodied in exports under global supply chain, and decomposes carbon emissions and carbon intensity in exports according to export path based on KWW (2014). Empirical analysis in China’s exports in 1995, 2000, 2005 and 2009 shows: 1) GIRIO model yielded about 2.11% less domestic emissions absorbed abroad, 0.8% more domestic emissions in exports, 1.5 times more foreign emissions in exports in 2009, compared to SRIO model. 2) USA and EU absorb most carbon emissions in China’s exports, but with declining share. Increasing domestic emissions firstly exported to developing countries but finally returned home and emissions from developing countries in China’s exports show their contribution from developing countries. Discrepancies between bilateral carbon emissions flows changes and direct trade flows changes suggest indirect carbon emissions transfer by third parties are neglected in SRIO model. 3) Despite dramatic decrease, China still bears 1.52 times more carbon emissions per GDP gained than foreign countries in fragmentation of China’s exports production in 2009, indicating different roles in production fragmentation.

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.

scholarly journals Consumption-Based Accounting and the Trade-Carbon Emissions Nexus in Asia: A Heterogeneous, Common Factor Panel Analysis

2018 ◽  
Vol 10 (10) ◽  
pp. 3627 ◽  
Author(s):  
Brantley Liddle
Keyword(s):  
Carbon Emissions ◽  
Fossil Fuels ◽  
Common Factor ◽  
Trade Flows ◽  
Carbon Intensity ◽  
Panel Analysis ◽  
Asian Countries ◽  
Republic Of China ◽  
Domestic Use ◽  
Global Carbon

This paper considers a recently developed consumption-based carbon emissions database from which emissions calculations are made based on the domestic use of fossil fuels plus the embodied emissions from imports minus exports, to test directly for the importance of trade in national emissions. The People’s Republic of China (PRC) alone is responsible for over half the global outflows of carbon via trade. The econometric estimations—which focused on a panel of 20 Asian countries—determined that: (i) trade flows were significant for consumption-based emissions but not for territory-based emissions; and (ii) exports and imports offset each other in that exports lower consumption-based emissions, whereas imports increase them. Hence, all countries should have both an interest and a responsibility to help lower the carbon intensity of energy in countries that are particularly important for global carbon transfers—the PRC and India.

scholarly journals Inter-Regional Spillover of Carbon Emissions and Employment in China: Is It Positive or Negative?

2019 ◽  
Vol 11 (13) ◽  
pp. 3622 ◽  
Author(s):  
Wenbin Shao ◽  
Fangyi Li ◽  
Zhaoyang Ye ◽  
Zhipeng Tang ◽  
Wu Xie ◽  
...  
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Decomposition Method ◽  
Carbon Emission ◽  
Spillover Effects ◽  
Efficiency Improvement ◽  
Input Output ◽  
Coastal Regions ◽  
Regional Trade ◽  
Positive Spillover

International and inter-regional trade in China has been promoted, the economic and environmental impacts of which are significant in regional development. In this paper, we analyzed the evolution of inter-regional spillover of carbon emissions and employment in China from 2007 to 2012 with structural decomposition method and multi-regional input-output tables. The index of carbon emission per employee (ICE) is designed and compared to indicate positive or negative spillover effects. We find that carbon emissions grow much more rapidly in interior regions than in coastal regions, due to spillover effects and own influences. Spillover effects rarely reduce the ICE of destination regions, but the own influences can decrease it in most regions. Although spillover may contribute to economic development in most regions, it is hardly a driver of efficiency improvement in destination regions. Based on these empirical findings, we put forward specific suggestions to improve the positive spillover effects on different kinds of regions.

scholarly journals How to Allocate Carbon Emission Permits Among China’s Industrial Sectors Under the Constraint of Carbon Intensity?

2019 ◽  
Vol 11 (3) ◽  
pp. 914 ◽  
Author(s):  
Jianguo Zhou ◽  
Yushuo Li ◽  
Xuejing Huo ◽  
Xiaolei Xu
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Abatement Cost ◽  
Carbon Intensity ◽  
Carbon Trading ◽  
Emission Permits ◽  
Carbon Abatement ◽  
Industrial Sectors ◽  
Ferrous Metals

With the official launch of China’s national unified carbon trading system (ETS) in 2017, it has played an increasingly important role in controlling the growth of carbon dioxide emissions. One of the core issues in carbon trading is the allocation of initial carbon emissions permits. Since the industry emits the largest amount of carbon dioxide in China, a study on the allocation of carbon emission permits among China’s industrial sectors is necessary to promote industry carbon abatement efficiency. In this study, industrial carbon emissions permits are allocated to 37 sub-sectors of China to reach the emission reduction target of 2030 considering the carbon marginal abatement cost, carbon abatement responsibility, carbon abatement potential, and carbon abatement capacity. A hybrid approach that integrates data envelop analysis (DEA), the analytic hierarchy process (AHP), and principal component analysis (PCA) is proposed to allocate carbon emission permits. The results of this study are as follows: First, under the constraint of carbon intensity, the carbon emission permits of the total industry in 2030 will be 8792 Mt with an average growth rate of 3.27%, which is 1.57 times higher than that in 2016. Second, the results of the carbon marginal abatement costs show that light industrial sectors and high-tech industrial sectors have a higher abatement cost, while energy-intensive heavy chemical industries have a lower abatement cost. Third, based on the allocation results, there are six industrial sub-sectors that have obtained major carbon emission permits, including the smelting and pressing of ferrous metals (S24), manufacturing of raw chemical materials and chemical products (S18), manufacturing of non-metallic mineral products (S23), smelting and pressing of non-ferrous metals (S25), production and supply of electric power and heat power (S35), and the processing of petroleum, coking, and processing of nuclear fuel (S19), accounting for 69.23% of the total carbon emissions permits. Furthermore, the study also classifies 37 industrial sectors to explore the emission reduction paths, and proposes corresponding policy recommendations for different categories.

scholarly journals Dynamic Characteristic Analysis of Indirect Carbon Emissions Caused by Chinese Urban and Rural Residential Consumption Based on Time Series Input-Output Tables from 2002 to 2011

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Guoxing Zhang ◽  
Mingxing Liu ◽  
Xiulin Gao
Keyword(s):  
Time Series ◽  
Carbon Emissions ◽  
Rural Areas ◽  
Carbon Emission ◽  
Urban Residents ◽  
Input Output ◽  
Characteristic Analysis ◽  
Growth Trend ◽  
Rural And Urban ◽  
Residential Consumption

Carbon emissions caused by residential consumption have become one of the main sources of carbon emission and revealed a huge growth trend in China. By processing data of Chinese input-output tables available and relative Statistical Yearbook, this paper uses RAS method to update the input-output tables to obtain the time series input-output tables from 2002 to 2011. Then, we use input-output method to make a contrastive analysis of changes in carbon emissions caused by Chinese rural and urban residents’ consumption. The results show that the indirect carbon emission caused by urban residents’ consumption is the main part of carbon emission caused by residents’ consumption, and the gap between carbon emission caused by urban and rural residents’ consumption is wider and wider. The annual per capita indirect carbon emissions in urban and rural areas increase by years, and the increment of the town is much greater than that of the country. At last, we analyze carbon emissions from residents’ consumption by sectors and obtain some meaningful results. In accordance with the above conclusions, the paper puts forward some countermeasures and suggestions from consumer behaviors, structure of consumption, energy usage, and so on.

scholarly journals Development of an Evaluating Method for Carbon Emissions of Manufacturing Process Plans

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Yanhong Wang ◽  
Hua Zhang ◽  
Zhiqing Zhang ◽  
Jing Wang
Keyword(s):  
Process Planning ◽  
Carbon Emissions ◽  
Manufacturing Process ◽  
Carbon Emission ◽  
Manufacturing Industry ◽  
Evaluation Method ◽  
Energy Utilization ◽  
Carbon Intensity ◽  
Emission Analysis ◽  
Process Plan

Carbon intensity reduction and energy utilization enhancement in manufacturing industry are becoming a timely topic. In a manufacturing system, the process planning is the combination of all production factors which influences the entail carbon emissions during manufacturing. In order to meet the current low carbon manufacturing requirements, a carbon emission evaluation method for the manufacturing process planning is highly desirable to be developed. This work presents a method to evaluate the carbon emissions of a process plan by aggregating the unit process to form a combined model for evaluating carbon emissions. The evaluating results can be used to decrease the resource and energy consumption and pinpoint detailed breakdown of the influences between manufacturing process plan and carbon emissions. Finally, the carbon emission analysis method is applied to a process plan of an axis to examine its feasibility and validity.

scholarly journals Consumption-Based Carbon Emissions of Tianjin Based on Multi-Scale Input–Output Analysis

2019 ◽  
Vol 11 (22) ◽  
pp. 6270
Author(s):  
Peiqi Xu ◽  
Ling Shao ◽  
Zihao Geng ◽  
Manli Guo ◽  
Zijun Wei ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Carbon Budget ◽  
Input Output ◽  
Output Analysis ◽  
Multi Scale ◽  
Input Output Analysis ◽  
Domestic Trade ◽  
Foreign Countries ◽  
Embodied Carbon Emissions ◽  
Tianjin City

Cities are a major source of carbon emissions and should play an important role in reducing carbon emissions. This study applies the method of multi-scale input–output analysis (MSIO) to analyze the consumption-based carbon emissions of Tianjin in 2012. This method can estimate the carbon emissions embodied in imported products. The results reveal that the production-based carbon emissions of Tianjin were 1.52 × 108 tonnes CO2 in 2012, which had increased over 50% since 2007. Meanwhile, the consumption-based carbon emissions of Tianjin city were 2.55 × 108 tonnes CO2, 1.71 times higher than those in 2007 and 1.67 times the amount of production-based carbon emissions in 2012. Regarding the total embodied carbon emissions involved in the Tianjin economy in 2012, about 6% were from foreign countries, over 60% were from other regions of China, and only one-third were territorial-based or production-based carbon emissions. Correspondingly, Tianjin respectively exported 11% and 34% of the total embodied carbon emissions to foreign countries and other regions in China, while over half were embodied in the local final demand. Tianjin was a carbon budget importer in domestic trade and an exporter in international trade in both 2007 and 2012. However, when both domestic and international trades are considered, Tianjin had shifted from a carbon budget exporter in 2007 to an importer in 2012. Since 2007, the carbon nexus between Tianjin and other regions in China had become much closer (carbon emissions embodied in domestic trade increased 103.47%), but the connection with foreign countries became looser (carbon emissions embodied in international trade decreased 21.96%). Compared to Beijing in 2012, it is evident that there were less carbon emission transfer issues for Tianjin city.

scholarly journals Development and Utilization of Renewable Energy Based on Carbon Emission Reduction—Evaluation of Multiple MCDM Methods

2021 ◽  
Vol 13 (17) ◽  
pp. 9822
Author(s):  
Tao Li ◽  
Ang Li ◽  
Yimiao Song
Keyword(s):  
Renewable Energy ◽  
Wind Power ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Intensity ◽  
High Carbon ◽  
Carbon Emission Reduction ◽  
Photovoltaic Power ◽  
Development And Utilization

With the proposed target of carbon peak and carbon neutralization, the development and utilization of renewable energy with the goal of carbon emission reduction is becoming increasingly important in China. We used the analytic hierarchy process (ANP) and a variety of MCDM methods to quantitatively evaluate renewable energy indicators. This study measured the sequence and differences of the development and utilization of renewable energy in different regions from the point of view of carbon emission reduction, which provides a new analytical perspective for the utilization and distribution of renewable energy in China and a solution based on renewable energy for achieving the goal of carbon emission reduction as soon as possible. The reliability of the evaluation system was further enhanced by confirmation through a variety of methods. The results show that the environment and carbon dimensions are the primary criteria to evaluate the priority of renewable energy under carbon emission reduction. In the overall choice of renewable energy, photovoltaic energy is the best solution. After dividing regions according to carbon emission intensity and resource endowment, areas with serious carbon emissions are suitable for the development of hydropower; areas with sub-serious carbon emissions should give priority to the development of photovoltaic or wind power; high-carbon intensity area I should vigorously develop wind power; high-carbon intensity area II should focus on developing photovoltaic power; second high-carbon intensity areas I and II are suitable for the development of wind power and photovoltaic power; and second high-carbon intensity areas III and IV are the most suitable for hydropower.

scholarly journals Threshold Effect of Foreign Direct Investment and Carbon Emissions Performance From the Perspective of Marketization Level: Implications for the Green Economy

2021 ◽  
Vol 12 ◽  
Author(s):  
Hao Hu ◽  
Haiyan Wang ◽  
Shuang Zhao ◽  
Xun Xi ◽  
Lan Li ◽  
...  
Keyword(s):  
Foreign Direct Investment ◽  
Foreign Investment ◽  
Carbon Emissions ◽  
Direct Investment ◽  
Yangtze River ◽  
Carbon Emission ◽  
Threshold Effect ◽  
Carbon Intensity ◽  
The Yangtze River ◽  
Low Carbon

Exploring the path and mechanism of marketization level in the effect of foreign direct investment (FDI) on carbon emission performance will help to maximize the stimulation effect of foreign investment on green and low-carbon development. This study used the panel data of 11 provinces and cities in the Yangtze River Economic Belt from 2008 to 2016. A panel threshold model is constructed to explore the non-linear relationship between FDI and carbon emissions performance from the perspective of marketization level. The main conclusions are as follows: First, from the perspective of marketization level, a significant double threshold effect exists between foreign participation and carbon emission intensity, with threshold values of 4.4701 and 9.2516 respectively. Second, as the marketization level increases, the technology spillover effect of FDI increases, and the stimulation effect of foreign participation on carbon intensity decreases significantly, but it does not inhibit carbon intensity, indicating that the overall benefits brought by FDI technology spillovers are still insufficient to offset pollution caused by foreign investment. Third, the eastern region of the Yangtze River Economic Belt has crossed the second threshold. In the central and western regions, the marketization process is relatively slow except for Chongqing, and the regions are still firmly stuck between the first and second thresholds. In response to the conclusions of the empirical research, relevant policy suggestions are put forward from three dimensions, namely, the strategy of introducing foreign investment, construction of the marketization system, and environmental regulation, to achieve low-carbon and green development in the Yangtze River Economic Belt.

scholarly journals CO2 Embodied in Trade between Poland and Selected Countries

2013 ◽  
Vol 2 (4) ◽  
pp. 48 ◽  
Author(s):  
Jan T. Mizgajski
Keyword(s):  
Carbon Emissions ◽  
Trade Flows ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Embodied Carbon ◽  
Trade Partners

This study is aimed at analysing the carbon embodied in trade flows between Poland and its major trade partners. Calculations are based on the data from the GTAP database for the year 2004. The study uses an input-output analysis, which allows responsibility to be assigned to individual flows for generating specific amounts of emissions in the economy. It is shown that Polish exports contain significantly more embodied carbon than Polish imports, despite the fact that the value of the imports is higher. Moreover, it is found that among the surveyed countries, only three were net importers of carbon emissions to Poland. Export to Germany is responsible for the most of emissions in Poland. In turn, Poland receives the most emissions from imports from Russia.

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