Volume 13, Issue 2
Perturbation Analysis of Input-Output Coefficients on Economic Module in the Mrice-E Model

M. Yan, S.-H. Chang, C.-X. Liu & Z. Wang

Int. J. Numer. Anal. Mod., 13 (2016), pp. 280-295

Published online: 2016-03

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  • Abstract

MRICE-E model is a new integrated assessment model (IAM) applied on evaluating climate change and the loss of economic welfare. Its economic module for China adopts a dynamic, nonlinear and multi-sectional CGE model. In this paper, we are concerned with the effects of perturbations in input-output coefficients in the CGE model. In the analytical framework, some concepts such as the Lyapunov exponent and the condition number from dynamic system and numerical linear algebra are employed to measure the errors brought by perturbations of the I-O coefficients. We finally derive the upper bound estimation of errors growth through time. To reduce the effects of the possible perturbations, some suggestions about categorization of the industrial sectors are given in the end.

  • Keywords

climate change IAM CGE model input-output analysis dynamic system Lyapuonv exponent

  • AMS Subject Headings

37M25 37N40 65P20

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{IJNAM-13-280, author = {M. Yan, S.-H. Chang, C.-X. Liu and Z. Wang}, title = {Perturbation Analysis of Input-Output Coefficients on Economic Module in the Mrice-E Model}, journal = {International Journal of Numerical Analysis and Modeling}, year = {2016}, volume = {13}, number = {2}, pages = {280--295}, abstract = {MRICE-E model is a new integrated assessment model (IAM) applied on evaluating climate change and the loss of economic welfare. Its economic module for China adopts a dynamic, nonlinear and multi-sectional CGE model. In this paper, we are concerned with the effects of perturbations in input-output coefficients in the CGE model. In the analytical framework, some concepts such as the Lyapunov exponent and the condition number from dynamic system and numerical linear algebra are employed to measure the errors brought by perturbations of the I-O coefficients. We finally derive the upper bound estimation of errors growth through time. To reduce the effects of the possible perturbations, some suggestions about categorization of the industrial sectors are given in the end.}, issn = {2617-8710}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/ijnam/439.html} }
TY - JOUR T1 - Perturbation Analysis of Input-Output Coefficients on Economic Module in the Mrice-E Model AU - M. Yan, S.-H. Chang, C.-X. Liu & Z. Wang JO - International Journal of Numerical Analysis and Modeling VL - 2 SP - 280 EP - 295 PY - 2016 DA - 2016/03 SN - 13 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/ijnam/439.html KW - climate change KW - IAM KW - CGE model KW - input-output analysis KW - dynamic system KW - Lyapuonv exponent AB - MRICE-E model is a new integrated assessment model (IAM) applied on evaluating climate change and the loss of economic welfare. Its economic module for China adopts a dynamic, nonlinear and multi-sectional CGE model. In this paper, we are concerned with the effects of perturbations in input-output coefficients in the CGE model. In the analytical framework, some concepts such as the Lyapunov exponent and the condition number from dynamic system and numerical linear algebra are employed to measure the errors brought by perturbations of the I-O coefficients. We finally derive the upper bound estimation of errors growth through time. To reduce the effects of the possible perturbations, some suggestions about categorization of the industrial sectors are given in the end.
M. Yan, S.-H. Chang, C.-X. Liu & Z. Wang. (1970). Perturbation Analysis of Input-Output Coefficients on Economic Module in the Mrice-E Model. International Journal of Numerical Analysis and Modeling. 13 (2). 280-295. doi:
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