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International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2012)

作者： Meng, Zhaojian Wang, Jing HoHai Univ Nanjing Jiangsu Peoples R China North China Univ Water Resouces & Elect Power Zhengzhou Peoples R China

The analysis in this thesis carried out to describe the changes of economy based on input-output model can only be regarded as an approximate reflection, considering the complexity, variability and uncertainty of the ... 详细信息

ISBN: (纸本)9783037856345

关键词： input-output method Simulated Analysis of Tax Policies

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Mass Balance of the Antarctic Ice Sheet in the Early 21st Century

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REMOTE SENSING 2023年第6期15卷 1677-1677页

作者： Yang, Tian Liang, Qi Zheng, Lei Li, Teng Chen, Zhuoqi Hui, Fengming Cheng, Xiao Sun Yat sen Univ Sch Geospatial Engn & Sci Southern Marine Sci & Engn Guangdong Lab Zhuhai Zhuhai 519082 Peoples R China

Mass loss from the Antarctic Ice Sheet (AIS) is an important contributor to global sea level rise. To examine the recent ice loss, we estimated the mass budget of the AIS from 2000 to 2020 using multiple ice velocity datasets, state-of-the-art ice thickness datasets, and extended surface mass balance (SMB) records. The AIS lost mass at an average rate of -89 +/- 99 Gt/yr over the study period. The East Antarctic Ice Sheet (EAIS) showed a slightly positive mass balance, while the West Antarctic Ice Sheet (WAIS) experienced a significant acceleration in mass loss. The ice discharge from the AIS increased from 1792 +/- 47 Gt/yr in 2000 to 1940 +/- 37 Gt/yr in 2017-2020, with the increase in the discharge from the WAIS being three to four times higher than that from the EAIS. Moreover, the average mass balance for 2017-2020 was -99 +/- 93 Gt/yr, slightly more negative than the average for the early 21st Century. During this recent period, the ice discharge decreased in the East Indian Ocean sector, in contrast to its rapid increase from 2000 to 2013-2017. However, the discharge in the Amundsen Sea sector still greatly increased from 2013-2017 to 2017-2020. Overall, our results are in agreement with recent mass balance estimates for the AIS based on gravimetry and altimetry. Our assessments of the recent AIS mass balance with the mass budget method (input-output method) will contribute to the understanding of ice dynamic processes and provide insights into the stability of the AIS.

关键词： mass balance ice discharge Antarctic Ice Sheet input-output method

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The Economic Importance of Offshore Wind Energy Development in Poland

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ENERGIES 2023年第23期16卷 7766页

作者： Brelik, Agnieszka Nowaczyk, Piotr Cheba, Katarzyna Lopez-Ruiz, Victor Raul Alfaro Navarro, Jose Luis Nevado Pena, Domingo West Pomeranian Univ Technol Szczecin Fac Econ Zolnierska Str 47 PL-71210 Szczecin Poland

The European Union's climate policy aims to reduce greenhouse gas emissions by 55% by 2030 and to achieve climate neutrality by 2050. One of the instruments for achieving these climate goals is the development of offshore wind energy. Unfortunately, Poland, as one of the few European Union countries with access to the sea, does not have offshore wind farms yet. The purpose of this article is to determine the importance of offshore wind energy for the development of Poland based on the example of two sea regions: the West Pomeranian and Pomeranian Voivodeships. This article uses the input-output method to determine the economic effects of offshore wind power. The region's share in the supply chain was determined based on the location of the offshore wind energy sector. A comparative analysis with the Saint-Brieuc offshore wind farm in France made it possible to show the differences between the studied locations. The supply chain share of the regions surveyed was 2.28% and 6.00% in the CAPEX phase and 5.98% and 8.23% in the OPEX phase. The annual average global value in the CAPEX phase at the country level was EUR 2793 million, and at the regional level, EUR 243 million and EUR 663 million. In the OPEX phase, the corresponding values are EUR 2106 million, EUR 223 million and EUR 663 million. The average annual employment in the CAPEX phase at the national level amounted to 26,323 jobs and at the regional level, 1953 and 5804. In the OPEX phase, employment amounted to 4790, 558 and 751 jobs, respectively. On the other hand, the average annual value added in the CAPEX phase at the national level was EUR 1221 million, and at the regional level, it was EUR 106 million and EUR 290 million. In the OPEX phase, it was EUR 920 million, EUR 97 million and EUR 239 million, respectively. While not all of the findings are conclusive, in general, the domestic offshore wind industry has weaker economic linkages and lower wage levels than the location adopted for comparison. It uses

关键词： offshore wind energy input-output method economic effects supply chain climate policy

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Industrial linkage of global carbon emissions: A heterogeneous ownership perspective

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ENERGY POLICY 2023年 172卷

作者： Ma, Ning Sun, WenLi Li, Huajiao Zhou, Xing Sun, Yihua Ren, Bo Beijing Foreign Studies Univ Int Business Sch Beijing 100089 Peoples R China China Univ Geosci Sch Econ & Management Beijing 100083 Peoples R China Domest Bldg 19 North Xisanhuan Rd Beijing 100089 Peoples R China

The roles of multinational enterprises (MNEs) and domestically owned agents in global carbon emissions differ significantly. Industrial linkage analysis of carbon emissions can be applied to identify critical sectors and their contributions where policies need to be improved for this purpose. This study investigates the industrial linkage of domestically owned agents and MNEs in global carbon emissions during the 2005-2016 period from both the demand and supply side via a multiregional input-output method. Industrial linkages are analyzed from the perspectives of both production and spatial linkage. The results show that the forward linkages of domestic agents on the supply side mainly lead to an increase in global carbon emissions. Second, the spatial linkage is more influential than the production linkage in global carbon emissions in most cases. Global carbon emissions are spatially lock-in some specific regions, such as China and South Africa. Third, MNEs transfer energy-intensive industries to developing regions and cause carbon leakage. We highlight that spatial linkage has an important role in global carbon emissions. This study is beneficial for policy-makers in providing a reference for impartially allocating mitigation responsibility.

关键词： Carbon emissions Industrial linkage Multinational enterprise input-output method Absolute measurement Marginal measurement

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input-output Analysis of China's Forest Industry in Chain

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FORESTS 2023年第7期14卷 1391页

作者： Jia, Wenting Cao, Fuliang Jia, Xiaofeng Nanjing Forestry Univ Coll Forestry Coll Arts & Design Nanjing 210037 Peoples R China Nanjing Forestry Univ Coinnovat Ctr Sustainable Forestry Southern China Nanjing 210037 Peoples R China Nanjing Audit Univ Sch Stat & Data Sci Nanjing 211815 Peoples R China

The goal of this article is to conduct a detailed study of China's forestry industry chain and determine the effect it has on the national economy. Based on the 2018 China input-output Table (153 departments) and other relevant data released by the National Bureau of Statistics, as well as the input-output method established by Wassily Leontief, this article conducts a comprehensive and detailed analysis of China's forest industry chain and its impact on the national economy. The results show that the backward industrial chain of China's forestry industry involves 105 industrial departments. China's forestry sector purchases the most products from the tertiary industry, accounting for 56.05% of all forestry purchases. The products of the tertiary industry have a significant impact on forestry. The forward industry chain of China's forestry involves 131 industrial sectors, with China's forestry selling the most products to the secondary industry, accounting for 93.47% of all forestry sales. The forestry sensitivity coefficient is 0.767 and the influence coefficient is 0.65. The secondary industry has a significant impact on the sales of forestry products. The impact of the forward industry chain is greater than that of the backward industry chain and the impact of forestry on the national economy is quite large. Suggestions about how to expand the planting area and production scale of domestic economic forests were put forward. An increase in the added value of exported forestry products, improved service quality of the tertiary industry to forestry, and improved quality and quantity of products provided by forestry to the secondary industry are necessary.

关键词： China's forestry input-output method forestry chain forward and backward correlation sensitivity coefficient and the influence coefficient

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The impact of digital industries on carbon emission in China: input-output and structural decomposition analysis

World Development Sustainability

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World Development Sustainability 2025年 6卷

作者： Li, Yuke Wu, Jing Pei, Xiaodong Zhu, Qianting Institutes of Science and Development Chinese Academy of Sciences Beijing 100190 China School of Public Policy and Management University of Chinese Academy of Sciences Beijing 100049 China School of Economics and Management China University of Petroleum at Beijing Beijing 102249 China

The effect of digital industries (DI) on carbon emissions has drawn significant attention, however, comprehensive consideration of regional heterogeneity, industry variability, and direct and indirect impacts is still lacking in existing studies. This study uses the input-output method and Structural Decomposition Analysis models to measure the structural effects of DI on carbon emissions in China from 2007 to 2017, through a dual perspective of “region-industry”. The results show that: (1) embodied carbon emissions of DI show an upward trend, and the indirect carbon emissions are much higher than the direct carbon emissions;(2) the structural effects of DI contribute to a total reduction of -45.68 Mt in China's carbon emissions, but the structural effects of DI on embodied carbon emissions show significant regional heterogeneity, and the carbon emissions in Jiangsu, Shanghai, Hubei, and other provinces have obvious changes;(3) the structural effects of DI primarily affect carbon emissions in the industrial and service sectors, in the early stage, the structural effects of DI led to an increase in the carbon emissions of the industrial sectors and a decrease in the service sectors, however, in recent years, the trend reversed;(4) based on the development level of DI and the structural effects of DI on carbon emissions in each industry, 30 provinces, autonomous regions, and municipalities in China can be classified into five categories, and tailored emission reduction strategies should be implemented in different provinces. The above findings provide scientific references for exploring how regions can synergize carbon reduction while promoting the digital economy from the perspective of industry sectors. © 2025 The Author(s)

关键词： Carbon emissions Cluster analysis Digital industry input-output method Regional heterogeneity Structural decomposition analysis

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Distribution of CO2 emissions in China's supply chains: A sub-national MRIO analysis

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JOURNAL OF CLEANER PRODUCTION 2022年第0期345卷 130986-130986页

作者： Ma, Ruifang Zheng, Xinqi Zhang, Chunxiao Li, Jiayang Ma, Yin China Univ Geosci Sch Informat Engn Beijing Peoples R China MNR China Technol Innovat Ctr Terr Spatial Big Data Beijing Peoples R China

With the development of economy and the improvement of resident consumption level, the carbon emission generated by resident consumption is increasing and becoming a new growth point. However, there is significant heterogeneity between different regions of China, the consumption-based carbon dioxide emission status by region is still unclear. In this study, using the multi-region input-output (MRIO) method, we decomposed the per capita carbon emissions of Chinese residents at the consumer end based on the population consumption expenditure data and finally displayed the spatial and temporal distribution map of carbon emissions in the kilometer grid on Arc GIS. The results indicate that: (1) In 2012, 2015, and 2017, China's consumer end carbon emissions were 3463.83 Mt, 3700.21 Mt, 3763.29 Mt, with an annual growth rate of about 1.76%. (2) There were huge differences in the consumption-based emissions among different regions in China, which was a decreasing distribution from southeast to northwest on the whole. And the difference between Inner Mongolia (313 Mt) and Tibet (2.5 Mt) was more than 120 times. (3) Housing and transportation were the major contributors to carbon emissions, accounting for 83.0% and 10.9% on average, respectively. The distribution of carbon emissions in different regions has significant heterogeneity. The contribution of various industries to carbon emissions is also different. Therefore, each region should formulate emission reduction policies according to its own characteristics.

关键词： input-output method Consumption-side carbon emissions Consumer expenditure Carbon emissions per capita

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Carbon emission intensity embodied in trade and its driving factors from the perspective of global value chain

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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 2020年第25期27卷 32062-32075页

作者： Zhao, Guomei Liu, Cenjie Hunan Univ Sch Econ & Trade Changsha 410079 Hunan Peoples R China Hunan Univ Finance & Econ Sch Engn Management Changsha 410205 Hunan Peoples R China

As a global problem, climate warming has received widespread attention recently. With trade development and labor division deepening, there exist large differences in carbon emission intensity (CEI) embodied in different trade patterns. Assessing environmental costs of different trade patterns is the core issue for policy makers. We decompose the overall CEI embodied in trade into CEI embodied in final goods trade, domestic trade, traditional intermediate trade, and global value chain trade. Using global multi-region input-output table provided by the WIOD database, we calculate the CEI embodied in different trade patterns during 1995-2014. Further, we analyze the influencing factors of CEI embodied in different trade patterns. We find that CEI embodied in domestic trade is lower than that of international trade. All kinds of embodied CEI in developing countries are higher than that in developed countries. Furthermore, the driving factors of the overall embodied CEI, including domestic trade and international trade, are population, PGDP, energy intensity, and trade. The expansion of industrialization can effectively reduce the CEI embodied in trade of developing countries. The increase of PGDP and industrialization can effectively reduce the CEI embodied in trade related to global value chain and traditional intermediate trade, while only the increase of PGDP can effectively reduce the CEI embodied in domestic trade and final goods trade. Population can reduce the embodied CEI in trade related to global value chain and traditional intermediate trade of developed countries. Economic development can almost promote the reduction of the CEI embodied in all trade patterns. Although industrialization has insignificant impact on the CEI embodied in final goods trade of the developed countries, it can reduce such CEI of developing countries.

关键词： Global value chain Embodied carbon emission intensity input-output method STIRPAT model

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Can global value chain participation affect embodied carbon emission intensity?

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JOURNAL OF CLEANER PRODUCTION 2021年 287卷 125069-125069页

作者： Liu, Cenjie Zhao, Guomei Hunan Univ Finance & Econ Sch Engn Management Changsha 410205 Hunan Peoples R China Cent South Univ Forestry & Technol Sch Econ Changsha 410004 Hunan Peoples R China

With the deepening of the global division of labor, it is significant to analyze the impact of global value chain participation on embodied carbon emission intensity. It provides implications for countries to address climate issues and improve development quality. The present work uses a multi-region input-output table provided by World input output Database to calculate the global value chain participation and the embodied carbon emission intensity of 42 different countries, for the period between 2000 and 2014. In addition, we decompose the carbon emission intensity into the carbon emission intensity embodied in domestic demand and foreign exports demand, and the carbon emission intensity of foreign exports demand is further divided into three types of embodied carbon emission intensity. Then, we analyze how global value chain participation affects the embodied carbon emission intensity, and examine different impacts across different development countries and different types of embodied carbon emission intensity. We also explore the different impacts under different embodied carbon emission intensity distributions. The results show that global value chain participation has a significantly negative impact on the embodied carbon emission intensity. Compared with the developed "north" countries, the global value chain participation of developing "south" countries have a larger negative impact of embodied carbon emission intensity. From the perspective of different types of demand, the impact of global value chain participation on carbon emission intensity embodied in foreign exports demand is greater than that embodied in domestic demand. The quantile regression results show that the global value chain participation at the high quantiles has a greater impact on the embodied carbon emission intensity, which indicates countries with higher embodied carbon emission intensity should participate in the global value chain to expand the production scale while reducing carbo

关键词： Global value chain participation Embodied carbon emission intensity input-output method Panel quantile regression

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Research on the changing trend of the carbon footprint of residents' consumption in Beijing

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ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 2019年第4期26卷 4078-4090页

作者： Fan, Zhenting Lei, Yalin Wu, Sanmang China Univ Geosci Sch Econ & Management Beijing 100083 Peoples R China Minist Land & Resources Key Lab Carrying Capac Assessment Resource & Envi Beijing 100083 Peoples R China

Emission of greenhouse gas is a global environmental problem. In recent years, China has been facing growing international pressure because of its large energy consumption and elevated greenhouse gas emissions. As the capital of China, Beijing is central to the study of carbon emission reduction since its carbon emissions have ranked at the forefront nationwide. The existing literature mainly revolves around carbon emissions of a few specific years, and there is a lack of trend study of multiple years in Beijing. This paper, based on the input-output method, calculates carbon emissions in Beijing by carbon footprints;the changing trend analysis was carried out by researching available statistical data of three years, 2002, 2007, and 2012, from the perspective of the entire city of Beijing and from that of urban and rural residents' consumption. The reasons for the changing trends of total carbon emission in Beijing have also been analysed using the Structural Decomposition Analysis (SDA) model. Results show that the total direct carbon footprint as well as the urban and rural direct carbon footprints of residents' consumption in Beijing is all increasing gradually. The direct carbon footprint of urban residents' consumption is mainly produced by electricity, gasoline, and heating power, while that of rural residents' consumption is mainly produced by raw coal and electricity. The indirect carbon footprint of residents' consumption in Beijing is increasing gradually, and that of urban areas is higher than that of rural areas. The compositions of indirect carbon footprints of rural and urban residents' consumption are consistent, and both come mainly from the transportation and communication industry, housing, food, culture, education, entertainment, etc. The SDA results show that the per capita consumption level is the main driving factor for the increase of the indirect carbon footprint of Beijing residents' consumption, and the intensity of CO2 emission is the main

关键词： Beijing City Residents' consumption Direct carbon footprint Indirect carbon footprint input-output method

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