Product‐mix and Technological Change Within the Leontief Inverse

A This paper proposes a spatial structural decomposition analysis to measure the effects of the changes in intra-and inter-country linkages on the embodied energy demand in the concerned country. For the empirical analysis, we have used the ChinaJapan inter-country input-output tables for 1985 and 1990, expressed in constant prices of 1990. The empirical results reveal that (1) at least for the period between 1985 and 1990, the effects of the non-competitive input structural changes in China on the primary energy requirements of Japan were negligible, and (2) the contribution of the Japanese final demand shifts on the total change in Chinese primary energy demand was 40 times larger than that of the Chinese final demand shifts on the primary energy requirements of Japan. The Japanese policy makers should concentrate on the energy impacts of the changes in the domestic production structure rather than the changes in the Chinese production structure.

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“…The decomposition of CC is given by (see for example Afrasiabi & Casler, 1991;Rose & Casler, 1996;Casler & Hadlock, 1997) …”

Section: Downloaded By [New York University] At 03:47 26 May 2015mentioning

confidence: 99%

A Spatial Structural Decomposition Analysis of Chinese and Japanese Energy Demand: 1985–1990

Kagawa

Inamura

2004

Economic Systems Research

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“…If the form of the automobile production process were to shift radically in a complementary fashion with changes in product (alternative technologies) the findings of this report would be severely compromised. Alternative ways of examining technical change within the framework of input-output analysis are discussed in Craven (1983), Rose (1984), Davis (1987), Gowdy and Miller (1987), and Afrasiabi and Casler (1991).…”

Section: Methodsmentioning

confidence: 99%

The Potential Impacts of an Electric Vehicle Manufacturing Complex on the Los Angeles Economy

et al. 1995

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In this paper the potential for electric vehicle production and the likely economic impacts of developing an electric vehicle industry in Los Angeles are examined. An historical overview of the automobile industry in Los Angeles suggests that a fully fledged automobile complex was never really developed. Rather, automotive firms have focused on the production of components for a variety of aftermarket and specialized uses. The small size of most auto firms and their custom orientation bodes well for the nascent electric vehicle industry. The region's industrial base, with the diverse range of products and labor skills offered, is well equipped to meet the needs of electric vehicle producers. After specifying a generic electric vehicle technology, input-output analysis is used to examine the employment effects of shifting production from conventional automobile technology to electric vehicles.

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“…For instance, Feldman et al (1987), in a study into the sources of structural change in the USA, found that the increase of output was mainly due to the increase of final demand and the changes in the Leontief inverse was relevant only in some emerging and declining sectors. Moreover, according to the study by Afrasiabi and Casler (1991) for the USA, the changes in the Leontief inverse comprised both technological change and product mix change, with the former being overall more relevant. Furthermore, as a driving force behind the changes in the Leontief inverse, technological change can decrease the input for final demand; that is, it can cause a decrease in the intermediate output thereby decreasing the total output.…”

Section: Leontief Effectmentioning

confidence: 99%

Structural decomposition analysis of energy-related CO2 emissions in China from 1997 to 2010

et al. 2016

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The energy-related CO 2 emissions in China have increased dramatically from 3384 to 8333 × 10 6 t during the last decade. To interpret these drastic changes, we undertake a structural decomposition analysis to decompose the changes in CO 2 emissions from 1997 to 2010 into the following six driving forces: emission coefficient, energy intensity, Leontief, sectoral structure, demand allocation (the shares of consumption, investments, and exports in final demand), and final demand effects. The results show that declines in energy intensity had a decrease impact on CO 2 emissions during the studied period. Changes in the relative importance of intermediate production in total output (the Leontief effect) contributed to decrease CO 2 emissions in the 2000-2002 period and to increase emissions in the other periods. The most important driver behind the steady increase in CO 2 emissions is the large increase in final demand. A further analysis at the sectoral level revealed differences and fluctuations between sectors. Energy intensity fell most strongly in the electric power sector and the coking, gas, and petroleum production sector (two energy-intensive sectors). The shift toward exports and investment increased CO 2 emissions (demand allocation effect). Part of the increases in CO 2 emissions thus stem from production activities for consumption activities elsewhere.

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Product‐mix and Technological Change Within the Leontief Inverse

Cited by 28 publications

References 7 publications

A Spatial Structural Decomposition Analysis of Chinese and Japanese Energy Demand: 1985–1990

A Spatial Structural Decomposition Analysis of Chinese and Japanese Energy Demand: 1985–1990

The Potential Impacts of an Electric Vehicle Manufacturing Complex on the Los Angeles Economy

Structural decomposition analysis of energy-related CO2 emissions in China from 1997 to 2010

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