Skip to main content
Log in

A dynamic computable general equilibrium simulation of China’s innovation-based economy under the new normal

  • Published:
Journal of Shanghai Jiaotong University (Science) Aims and scope Submit manuscript

Abstract

Researching China’s innovative economic and financial innovation issues under the background of the New Normal, we need to carefully analyze the internal structure and interaction of China’s macroeconomics. The computable general equilibrium (CGE) model has outstanding advantages on predicting the external shock influences on economic system, but previous studies on forecast for China’s future economy mostly considered a high growth rate which is hard to comply with the New Normal scene. By constructing China’s macroeconomic dynamic CGE (DCGE) model and anticipating the economic impact of the New Normal, this paper finds that the New Normal has a certain extent inhibition on China’s macro-economy and innovation. However, after adding the research and development (R&D) subsidy policy, the negative impacts of the New Normal on macro-economy can be eliminated to realize the optimization of economic structure. In addition, after combining the financial innovation promoting policy and the KeQiang index through the simulation of macro-economy, we find that the quality of economic growth is improved. Finally, we provide the policy recommendations for the realization of an innovative economy under China’s New Normal.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. LIU W, SU J. Chinese macro under “new normal” [J]. Economic Science, 2014, 202(4): 5–13 (in Chinese).

    Google Scholar 

  2. JOHANSEN L. A multi-sectoral study of economic growth [M]. Amsterdam, Netherlands: North-Holland, 1960.

    Google Scholar 

  3. DIXON P B, PARMENTER B R, POWELL A A, et al. Notes and problems in applied general equilibrium economics [M]. Amsterdam, Netherlands: North-Holland, 1992.

    MATH  Google Scholar 

  4. NUGENT J B, SARMA C V. The three E’s-efficiency, equity, and environmental protection-in search of “winwin-win” policies: A CGE analysis of India [J]. Journal of Policy Modeling, 2002, 24(1): 19–50.

    Article  Google Scholar 

  5. HANSON D, LAITNER J A. An integrated analysis of policies that increase investments in advanced energyefficient/low-carbon technologies original [J]. Energy Economics, 2004, 26(4): 739–755.

    Article  Google Scholar 

  6. FAN M T, ZHENG Y X, MA G. China CGE model. The basic structures and related application problems [J]. Quantitative & Technical Economics, 1998(12): 39–47 (in Chinese).

    Google Scholar 

  7. LI S T, ZHAI F, XU L. China’s accession to WTO impact on China’s economy-dynamic general equilibrium analysis [J]. The Journal of World Economy, 2000(2): 3–14 (in Chinese).

    Google Scholar 

  8. WEI W X. Effects of RMB appreciation on the Chinese macro-economy [J]. Economic Research Journal, 2006(4): 47–57 (in Chinese).

    Google Scholar 

  9. REN B P, SONG W Y. Analysis on the factors to empolder the economic growth potential in new normal [J]. Academic Monthly, 2015, 47(2): 15–22 (in Chinese).

    MathSciNet  Google Scholar 

  10. JIN B. Study on the new normal of Chinese economic development [J]. China Industrial Economics, 2015, 322 (1): 5–18 (in Chinese).

    Google Scholar 

  11. HONG Y X. On the middle-high growth new normal and its support normal [J]. Economic Perspectives, 2014(11): 4–7 (in Chinese).

    Google Scholar 

  12. MACHLUP F. Knowledge: Its creation, distribution and economic significance: The branches of learning [M]. New Jersey, USA: Princeton University Press, 2014.

    Google Scholar 

  13. WANG K, WANG C, CHEN J. Analysis of the economic impact of different Chinese climate policy options based on a CGE model incorporating endogenous technological change [J]. Energy Policy, 2009, 37 (8): 2930–2940.

    Article  Google Scholar 

  14. WING I S. The synthesis of bottom-up and top-down approaches to climate policy modeling: Electric power technology detail in a social accounting framework [J]. Energy Economics, 2008, 30(2): 547–573.

    Article  Google Scholar 

  15. HU Z Y, LIU Y W. The effects of scientific and technological progress on China’s macro-economy: A dynamic CGE approach [J]. China Soft Science, 2010(9): 47–55 (in Chinese).

    Google Scholar 

  16. WU J L, LI Y N, XU X N, et al. New normal changes China: Chief economist talk about the trend [M]. Beijing: Democracy and Construction Press, 2014 (in Chinese).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shuai Shao  (邵 帅).

Additional information

Foundation item: the National Natural Science Foundation of China (Nos. 71373153, 71262022 and 71003068), the Shanghai Philosophy and Social Science Fund Project (No. 2014BJB001), and the “Shuguang Program” Supported by Shanghai Education Development Foundation and Shanghai Municipal Education Commission (No. 14SG32)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, C., Shao, S. A dynamic computable general equilibrium simulation of China’s innovation-based economy under the new normal. J. Shanghai Jiaotong Univ. (Sci.) 21, 335–342 (2016). https://doi.org/10.1007/s12204-016-1730-3

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12204-016-1730-3

Keywords

CLC number

Navigation