Environmentally Extended Input-Output(EEIO)tables have become a powerful element in supporting information-based environmental and economic policies.National-and provincial-level 10 tables are currently published by t...Environmentally Extended Input-Output(EEIO)tables have become a powerful element in supporting information-based environmental and economic policies.National-and provincial-level 10 tables are currently published by the National Bureau of Statistics of the People's Republic of China according to well-defined conventions.However,county-level 10tables are not provided as a rule by official statistics organizations.This paper conducts an overview of compiling EEIO tables for environmental and resources accounting at the county level and then answers several questions:First,what kind of data should be prepared for the compilation of county-level EEIO tables?Second,how can we set up comprehensive EEIO tables at the county level?Third,regarding the survey methods and the indirect modeling,which one should be chosen to build EEIO tables at the county level?Finally,what policy questions could such a table answer?EEIO tables at the county level can be used to predict the economic impacts of environmental policies and to perform trend and scenario analysis.展开更多
In July 2009, the 2005 basic Japanese input/output table was publicized together with its physical transaction table. This research paper analyzed the 2005 IO （input/output） table to create building industry-related...In July 2009, the 2005 basic Japanese input/output table was publicized together with its physical transaction table. This research paper analyzed the 2005 IO （input/output） table to create building industry-related intensities and, at the same time, compared the building industry with industries at large for distribution margins and transportation. The analysis of distribution margins separately for middle and purchaser margins found that middle margins in the building industry are minor at 35% of the averages for all industries, while purchaser margins are sizable at 1.8 times, proving that it is an industry for which local production for local consumption is quite effective. CO2 emissions resulting from transportation in the building industry were calculated and concisely characterized. Although the ratio of transportation CO2 emissions to total CO2 emissions in each industry finds almost no difference between general industries and the building industry, transportation CO2 emissions per production value are two to three times heavier than those from general industries to be justified as a transportation-intensive industry.展开更多
The FRF estimator based on the errors-in-variables （EV） model of multi-input multi-output （MIMO） system is presented to reduce the bias error of FRF HI estimator. The FRF HI estimator is influenced by the noises i...The FRF estimator based on the errors-in-variables （EV） model of multi-input multi-output （MIMO） system is presented to reduce the bias error of FRF HI estimator. The FRF HI estimator is influenced by the noises in the inputs of the system and generates an under-estimation of the true FRF. The FRF estimator based on the EV model takes into account the errors in both the inputs and outputs of the system and would lead to more accurate FRF estimation. The FRF estimator based on the EV model is applied to the waveform replication on the 6-DOF （degree-of-freedom） hydraulic vibration table. The result shows that it is favorable to improve the control precision of the MIMO vibration control system.展开更多
Given the statistical gaps in material flow among provinces in China, a method was introduced to estimate regional physical imports and exports （RPIE）, which includes international and interregional imports/ exports...Given the statistical gaps in material flow among provinces in China, a method was introduced to estimate regional physical imports and exports （RPIE）, which includes international and interregional imports/ exports. This method uses provincial monetary input- output tables （MIOT） and international trade statistics. A coefficient matrix representing correlations between monetary value and physical mass for years 2000-2009 was obtained based on a detailed commodity classification and 22 material production sectors in MIOT. With the coefficient matrix as reference, RPIE was measured. Pilot calculation of both regional physical trade balance and domestic material consumption, as well as a brief analysis of these methods, were conducted using 2002 data.展开更多
A hierarchical structural decomposition analysis(SDA) model has been developed based on process-level input-output(I-O) tables to analyze the drivers of energy consumption changes in an integrated steel plant during 2...A hierarchical structural decomposition analysis(SDA) model has been developed based on process-level input-output(I-O) tables to analyze the drivers of energy consumption changes in an integrated steel plant during 2011-2013. By combining the principle of hierarchical decomposition into D&L method, a hierarchical decomposition model for multilevel SDA is obtained. The developed hierarchical IO-SDA model would provide consistent results and need less computation effort compared with the traditional SDA model. The decomposition results of the steel plant suggest that the technology improvement and reduced steel final demand are two major reasons for declined total energy consumption. The technical improvements of blast furnaces, basic oxygen furnaces, the power plant and the by-products utilization level have contributed mostly in reducing energy consumption. A major retrofit of ancillary process units and solving fuel substitution problem in the sinter plant and blast furnace are important for further energy saving. Besides the empirical results, this work also discussed that why and how hierarchical SDA can be applied in a process-level decomposition analysis of aggregated indicators.展开更多
This paper represents an attempt to estimate the level of vertical specialization in China's manufacturing industry using China's input-output tables (1995-2005) compiled by the OECD; describe the trends of ev...This paper represents an attempt to estimate the level of vertical specialization in China's manufacturing industry using China's input-output tables (1995-2005) compiled by the OECD; describe the trends of evolution in the trade competitiveness of China's manufacturing industry using the 1995-2006 trade data of 24 Chinese industries; and examine the key factors affecting the trade competitiveness of China's manufacturing industry in accordance with the analytical framework of Hummels et al (2001). The estimation results indicate that i) the rapid increase in the vertical specialization levels of China's merchandise sectors (especially the high-tech manufacturing sector) has to some extent explained the explosive growth of China's exports (especially high-tech exports) in recent years; ii) there have been no substantive changes in China's comparative advantages. Such advantages are still attributed to the low-tech manufacturing sector. However, the comparative advantage and trade competitiveness of the high-tech manufacturing sector have been on the rise; iii) vertical specialization has signif icantly enhanced the trade competitiveness of China's manufacturing industry. Foreign market dependence, domestic intermediate input intensity and R&D intensity have an obvious promoting effect on the trade competitiveness of China's manufacturing industry.展开更多
基金supported by the Key Project of the Chinese Academy of Sciences[grant number KZZD-EW-08]the Exploratory Forefront Project for the Strategic Science Plan in IGSNRR,CAS
文摘Environmentally Extended Input-Output(EEIO)tables have become a powerful element in supporting information-based environmental and economic policies.National-and provincial-level 10 tables are currently published by the National Bureau of Statistics of the People's Republic of China according to well-defined conventions.However,county-level 10tables are not provided as a rule by official statistics organizations.This paper conducts an overview of compiling EEIO tables for environmental and resources accounting at the county level and then answers several questions:First,what kind of data should be prepared for the compilation of county-level EEIO tables?Second,how can we set up comprehensive EEIO tables at the county level?Third,regarding the survey methods and the indirect modeling,which one should be chosen to build EEIO tables at the county level?Finally,what policy questions could such a table answer?EEIO tables at the county level can be used to predict the economic impacts of environmental policies and to perform trend and scenario analysis.
文摘In July 2009, the 2005 basic Japanese input/output table was publicized together with its physical transaction table. This research paper analyzed the 2005 IO （input/output） table to create building industry-related intensities and, at the same time, compared the building industry with industries at large for distribution margins and transportation. The analysis of distribution margins separately for middle and purchaser margins found that middle margins in the building industry are minor at 35% of the averages for all industries, while purchaser margins are sizable at 1.8 times, proving that it is an industry for which local production for local consumption is quite effective. CO2 emissions resulting from transportation in the building industry were calculated and concisely characterized. Although the ratio of transportation CO2 emissions to total CO2 emissions in each industry finds almost no difference between general industries and the building industry, transportation CO2 emissions per production value are two to three times heavier than those from general industries to be justified as a transportation-intensive industry.
基金This project is supported by Program for New Century Excellent Talents in University,China(No.NCET-04-0325).
文摘The FRF estimator based on the errors-in-variables （EV） model of multi-input multi-output （MIMO） system is presented to reduce the bias error of FRF HI estimator. The FRF HI estimator is influenced by the noises in the inputs of the system and generates an under-estimation of the true FRF. The FRF estimator based on the EV model takes into account the errors in both the inputs and outputs of the system and would lead to more accurate FRF estimation. The FRF estimator based on the EV model is applied to the waveform replication on the 6-DOF （degree-of-freedom） hydraulic vibration table. The result shows that it is favorable to improve the control precision of the MIMO vibration control system.
文摘Given the statistical gaps in material flow among provinces in China, a method was introduced to estimate regional physical imports and exports （RPIE）, which includes international and interregional imports/ exports. This method uses provincial monetary input- output tables （MIOT） and international trade statistics. A coefficient matrix representing correlations between monetary value and physical mass for years 2000-2009 was obtained based on a detailed commodity classification and 22 material production sectors in MIOT. With the coefficient matrix as reference, RPIE was measured. Pilot calculation of both regional physical trade balance and domestic material consumption, as well as a brief analysis of these methods, were conducted using 2002 data.
基金Project(2012GK2025)supported by Science-Technology Plan Foundation of Hunan Province,ChinaProject(2013zzts039)supported by the Fundamental Research Funds for Central South University,China
文摘A hierarchical structural decomposition analysis(SDA) model has been developed based on process-level input-output(I-O) tables to analyze the drivers of energy consumption changes in an integrated steel plant during 2011-2013. By combining the principle of hierarchical decomposition into D&L method, a hierarchical decomposition model for multilevel SDA is obtained. The developed hierarchical IO-SDA model would provide consistent results and need less computation effort compared with the traditional SDA model. The decomposition results of the steel plant suggest that the technology improvement and reduced steel final demand are two major reasons for declined total energy consumption. The technical improvements of blast furnaces, basic oxygen furnaces, the power plant and the by-products utilization level have contributed mostly in reducing energy consumption. A major retrofit of ancillary process units and solving fuel substitution problem in the sinter plant and blast furnace are important for further energy saving. Besides the empirical results, this work also discussed that why and how hierarchical SDA can be applied in a process-level decomposition analysis of aggregated indicators.
基金This paper is part of ongoing research projects:"A Study of Multinational Firms and China's International Competitiveness"--a key philosophy and social science research project funded by the Ministry of Education (Grant No.:03JZD0019)"Multinational Firm Research"--a key research project of the Philosophy and Social Science Innovation Base under the "985 Project" of Nankai University (Grant No.:985TNC20070102)the youth program under the category of humanities and social sciences of Nankai University in 2007 (Grant No.:NKQ07006)
文摘This paper represents an attempt to estimate the level of vertical specialization in China's manufacturing industry using China's input-output tables (1995-2005) compiled by the OECD; describe the trends of evolution in the trade competitiveness of China's manufacturing industry using the 1995-2006 trade data of 24 Chinese industries; and examine the key factors affecting the trade competitiveness of China's manufacturing industry in accordance with the analytical framework of Hummels et al (2001). The estimation results indicate that i) the rapid increase in the vertical specialization levels of China's merchandise sectors (especially the high-tech manufacturing sector) has to some extent explained the explosive growth of China's exports (especially high-tech exports) in recent years; ii) there have been no substantive changes in China's comparative advantages. Such advantages are still attributed to the low-tech manufacturing sector. However, the comparative advantage and trade competitiveness of the high-tech manufacturing sector have been on the rise; iii) vertical specialization has signif icantly enhanced the trade competitiveness of China's manufacturing industry. Foreign market dependence, domestic intermediate input intensity and R&D intensity have an obvious promoting effect on the trade competitiveness of China's manufacturing industry.
