Literature DB >> 28697580

Medical imaging technology shock and volatility of macro economics: Analysis using a three-sector dynamical stochastic general equilibrium REC model.

Shurong Han1, Yeqing Huang2.   

Abstract

The study analysed the medical imaging technology business cycle from 1981 to 2009 and found that the volatility of consumption in Chinese medical imaging business was higher than that of the developed countries. The volatility of gross domestic product (GDP) and the correlation between consumption and GDP is also higher than that of the developed countries. Prior to the early 1990s the volatility of consumption is even higher than GDP. This fact makes it difficult to explain the volatile market using the standard one sector real economic cycle (REC) model. Contrary to the other domestic studies, this study considers a three-sector dynamical stochastic general equilibrium REC model. In this model there are two consumption sectors, whereby one is labour intensive and another is capital intensive. The more capital intensive investment sector only introduces technology shocks in the medical imaging market. Our response functions and Monte-Carlo simulation results show that the model can explain 90% of the volatility of consummation relative to GDP, and explain the correlation between consumption and GDP. The results demonstrated the significant correlation between the technological reform in medical imaging and volatility in the labour market on Chinese macro economy development.

Keywords:  Medical imaging; computational market analysis; economic volatility; real economic cycle; technological reform; technology shock

Year:  2017        PMID: 28697580     DOI: 10.3233/XST-17300

Source DB:  PubMed          Journal:  J Xray Sci Technol        ISSN: 0895-3996            Impact factor:   1.535


  1 in total

1.  Location detection of key areas in medical images based on Haar-like fusion contour feature learning.

Authors:  Shuchun Yu; Qi Wang; Changhai Ru; Ming Pang
Journal:  Technol Health Care       Date:  2020       Impact factor: 1.285

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.