4.7 Article

Asymmetric impacts of economic policy uncertainty, capital cost, and raw material cost on China's investment

期刊

ECONOMIC ANALYSIS AND POLICY
卷 72, 期 -, 页码 129-144

出版社

ELSEVIER
DOI: 10.1016/j.eap.2021.08.005

关键词

Economic policy uncertainty; Cost; Investment; NARDL

资金

  1. Fundamental Research Funds for the Central Universities [2021CDJSKJC04, 2019CDSKXYGG0042]

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Investment has played a significant role in driving economic growth in China, but the growth rate of fixed asset investment in the country has shown a downward trend in recent years. Identifying the main influencing factors of China's investment is crucial for formulating stable investment policies.Using the nonlinear autoregressive distributed lag (NARDL) model, this study found that economic policy uncertainty, capital cost, and raw material cost have asymmetrical impacts on China's fixed asset investment.
As one of the main engines driving economic growth, investment has made an important contribution to China's economy. However, in recent years, the growth rate of China's fixed asset investment has shown a downward trend. Therefore, it is vital to determine the main influencing factors of China's investment for formulating stable investment policies. Using the nonlinear autoregressive distributed lag (NARDL) model, this study finds that economic policy uncertainty, capital cost, and raw material cost have asymmetrical impacts on China's fixed asset investment. Further research finds that the above variables have asymmetrical impacts on the two major components of aggregate investment, private investment and public investment, but the impact mechanism for each is completely different. When facing the positive or negative impacts from different factors, different investment entities will adopt different directions and magnitudes of investment decisions, ultimately leading to asymmetric relationships between various variables and aggregate investment. (C) 2021 Published by Elsevier B.V. on behalf of Economic Society of Australia, Queensland.

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