Input-Output Structural Decomposition Analysis on the Structure of Employment Change in Korean Manufacturing Industry

2019 ◽  
Vol 32 (1) ◽  
pp. 375-403
Author(s):  
Sang Choon Kim ◽  
Bong Ho Choi
Keyword(s):  
Manufacturing Industry ◽  
Decomposition Analysis ◽  
Input Output ◽  
Structural Decomposition Analysis ◽  
Employment Change ◽  
Structural Decomposition

The Change of Energy Consumption in China and its Driving Forces

2014 ◽  
Vol 700 ◽  
pp. 739-742
Author(s):  
Yi Cao ◽  
Shui Jun Peng ◽  
Wen Cheng Zhang
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Driving Forces ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Embodied Energy ◽  
Input Output ◽  
Structural Decomposition Analysis ◽  
Structural Decomposition ◽  
Key Driver

This paper estimates the changes of industrial embodied energy consumption in China between 1997 and 2007, and applies a structural decomposition analysis (SDA), based on non-competitive (import) input-output tables, to analyze the sources of change of China’s energy consumption from 1997 to 2007. Results show that China’s energy consumption increased sharply, especially after the accession to WTO. The SDA results indicate that the improvement of energy efficiency during 1997-2007 significantly reduced energy consumption in China while the growth of final demand was the key driver of China’s energy consumption. In addition, distribution of final demand with the declining share of consumption and the increasing share of export push energy consumption upward.

Accounting for China's Import Growth: A Structural Decomposition for 1997–2005

2011 ◽  
Vol 43 (12) ◽  
pp. 2971-2991 ◽  
Author(s):  
Jiansuo Pei ◽  
Erik Dietzenbacher ◽  
Jan Oosterhaven ◽  
Cuihong Yang
Keyword(s):  
Volume Growth ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Global Supply Chain ◽  
Input Output ◽  
Vertical Specialization ◽  
Structural Decomposition Analysis ◽  
Structural Decomposition ◽  
China’S Growth

This paper applies structural decomposition analysis to Chinese input–output tables in order to disentangle and quantify the sources of China's import growth and China's growth in vertical specialization: that is, China's incorporation into the global supply chain. China's exports and the role of processing trade therein have increased substantially in the last decade. Yet, they account for only one third of China's import growth from 1997 to 2005. Instead, the volume growth of China's domestic final demand is found to be most important. Moreover, compared with other countries, the structural change in input–output coefficients and in the commodity composition of domestic final demand turns out to be surprisingly important. Looking only at vertical specialization, it is concluded that more than half of its growth, from 21% in 1997 to 30% in 2005, is due to the growth of China's import ratios.

scholarly journals Measuring Technological Change through an Extended Structural Decomposition Analysis: An Application to EU-28 Primary Sectors (2010–2015)

Economies ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 15
Author(s):  
Xesús Pereira-López ◽  
Małgorzata Anna Węgrzyńska ◽  
Napoleón Guillermo Sánchez-Chóez
Keyword(s):  
Technological Change ◽  
Decomposition Analysis ◽  
Typical Characteristic ◽  
Input Output ◽  
Structural Decomposition Analysis ◽  
Structural Decomposition ◽  
Analysis Techniques ◽  
Factors Associated ◽  
Leontief Inverse ◽  
Satisfactory Manner

This paper addresses the input–output structural decomposition for an economic analysis. The objective is to determine the causes of changes in production in these sectors with a particular focus on disaggregating the technological change by distribution factors associated with a specific normalization of the Leontief inverse. In calculating the net multipliers, an attempt was made to exclude each sectors’ own consumption in a satisfactory manner. However, the treatment of own consumption when introducing a time factor requires further investigation to avoid questionable measurements. An empirical application is presented regarding agriculture, forestry, and fishing sectors in six EU-28 countries (Austria, Belgium, France, Germany, Italy, and Spain) over the 2010–2015 period. In general, a typical characteristic of primary sectors is the accumulation of a significant amount of their own consumption, facilitated by the design of their own symmetric accounting methods. Therefore, attention is focused on these sectors so as to reveal possible analysis techniques that will provide nuance or validate existing techniques.

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