Reinterpretation of China’s Economic Fluctuation： Concept， Characteristics and Connotation

LIU Xiao-guang; MAN Xiang-yu

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Journal of Beijing Jiaotong University（Social Sciences Edition） ›› 2024, Vol. 23 ›› Issue (1) : 49-62.

Macroeconomic Stuides

Reinterpretation of China’s Economic Fluctuation： Concept， Characteristics and Connotation

LIU Xiao-guang¹, MAN Xiang-yu²

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Abstract

We elaborate and distinguish some crucial concepts in the research of China’s economic fluctuations. We emphasize that while shock is the source of economic fluctuations， wedge that distorts equilibrium conditions of the economy， is the mechanism through which the shock spreads. The two concepts are not equivalent， nor can they be separated. Having clarified the relevant concepts， we account for the characteristics and influencing factors of China’s economic fluctuations from four perspectives： output， labor， investment and consumption. The results show that efficiency wedges and the corresponding shocks play major roles in explaining China’s economic fluctuations； labor wedge is crucial for interpreting fluctuations in China’s labor markets and the properties of China’s economy after Covid-19； decline in investment is not caused by the deterioration of investment wedges， rather， it is highly correlated with economic fundamentals， but investment wedges do have important meaning in understanding China’s ‘low consumption’ characteristics. Finally， we show that the contribution of different wedges to economic fluctuation is time-varying. The idea of using wedges in the corresponding market to generalize and measure frictions in reality is of great value in guiding how to introduce frictions into the structural model， and the relevant conclusions have inspiration for macroeconomic policies.

Key words

economic fluctuation / wedge / distortion / shock / BCA method

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LIU Xiao-guang, MAN Xiang-yu. Reinterpretation of China’s Economic Fluctuation： Concept， Characteristics and Connotation[J]. Journal of Beijing Jiaotong University（Social Sciences Edition）. 2024, 23(1): 49-62

References

1 SIMS C A. Macroeconomics and reality ［J］. Econometrica， 1980，48（1）： 1-48.
2 KYDLAND F E， PRESCOTT E C. Time to build and aggregate fluctuations ［J］. Econometrica， 1982， 50（6）： 1345-1370.
3 BLANCHARD O， WATSON M W. Are all business cycles alike？［M］// Gordon R J （Ed.）. The American Business Cycle： Continuity and Change. NBER. Chicago：The University of Chicago Press， 1986： 123-156.
4 BERNANKE B S. Alternative explanations of the money-income correlation［J］. Carnegie-Rochester Conference Series on Public Policy， 1986， 25（1）： 49-99.
5 ROMER C D， ROMER D H. Does monetary policy matter？ A new test in the spirit of Friedman and Schwartz ［J］. NBER Macroeconomics Annual， 1989， 4： 121-170.
6 ROMER C D， ROMER D H. A new measure of monetary shocks： Derivation and implications ［J］. American Economic Review， 2004， 94（4）： 1055-1084.
7 UHLIG H. What are the effects of monetary policy on output？ Results from an agnostic identification procedure ［J］. Journal of Monetary Economics， 2005， 52（2）： 381-419.
8 STOCK J H， WATSON M W. Disentangling the channels of the 2007-2009 recession ［R］. NBERWorking Paper， No. w18094， 2012.
9 NAKAMURA E， STEINSSON J. High-frequency identification of monetary non-neutrality： the information effect ［J］. The Quarterly Journal of Economics， 2018， 133（3）： 1283-1330.
10 SMETS F， WOUTERS R. An estimated dynamic stochastic general equilibrium model of the euro area ［J］. Journal of the European Economic Association， 2003， 1（5）： 1123-1175.
11 CHRISTIANO L J， EICHENBAUM M， EVANS C L. Nominal rigidities and the dynamic effects of a shock to monetary policy ［J］. Journal of Political Economy， 2005， 113（1）： 1-45.
12 CHRISTIANO L J， MOTTO R， ROSTAGNO M. Risk shocks ［J］. American Economic Review， 2014， 104（1）： 27-65.
13 KIYOTAKI N， MOORE J. Credit cycles［ J］. Journal of Political Economy， 1997， 105（2）： 211-248.
14 BRINCA P， COSTA FILHO J R， LORIA F. Business cycle accounting： What have we learned so far？［J］. Journal of Economic Surveys， 2020.
15 OTTONELLO P， WINBERRY T. Financial heterogeneity and the investment channel of monetary policy ［J］. Econometrica， 2020， 88（6）： 2473-2502.
16 BAYER C， BORN B， LUETTICKE R. The liquidity channel of fiscal policy ［J］. Journal of Monetary Economics， 2023， 134： 86-117.
17 GERTLER M， KARADI P. A model of unconventional monetary policy ［J］. Journal of Monetary Economics， 2011， 58（1）： 17-34.
18 FERRANTE F. Risky lending， bank leverage and unconventional monetary policy ［J］. Journal of Monetary Economics， 2019， 101： 100-127.
19 SIMS E， WU J C. Evaluating central banks' tool kit： Past， present， and future ［J］. Journal of Monetary Economics， 2021， 118： 135-160.
20 CHARI V V， KEHOE P J， McGrattan E R. Business cycle accounting ［J］. Econometrica， 2007， 75（3）： 781-836.
21 BRINCA P， CHARI V V， KEHOE P J， et al. Accounting for business cycles ［J］. Handbook of Macroeconomics， 2016， 2： 1013-1063.
22 RAMEY V A. Macroeconomic shocks and their propagation ［M］. Handbook of Macroeconomics， Elsevier， 2016， 2： 71-162.
23 BERNANKE B S， GERTLER M， GILCHRIST S. The financial accelerator in a quantitative business cycle framework ［J］. Handbook of Macroeconomics， 1999， 1： 1341-1393.
24 JERMANN U， QUADRINI V. Macroeconomic effects of financial shocks ［J］. American Economic Review， 2012， 102（1）： 238-271.
25 BECARD Y， GAUTHIER D. Collateral shocks ［J］. American Economic Journal： Macroeconomics， 2022， 14（1）： 83-103.
26 BORDO M D， ERCEG C J， EVANS C L. Money， sticky wages， and the Great Depression［J］. American Economic Review， 2000， 90（5）： 1447-1463.
27 GERTLER M， KIYOTAKI N. Financial intermediation and credit policy in business cycle analysis ［J］. Handbook of Monetary Economics， 2010， 3： 547-599.
28 BUERA F J， MOLL B. Aggregate implications of a credit crunch： The importance of heterogeneity ［J］. American Economic Journal： Macroeconomics， 2015， 7（3）： 1-42.
29 徐高. 基于动态随机一般均衡模型的中国经济波动数量分析［D］. 北京：北京大学中国经济研究中心，2008.
30 CHANG C， CHEN K， WAGGONER D F， et al. Trends and cycles in China’s macroeconomy ［J］. NBER Macroeconomics Annual， 2016， 30（1）： 1-84.
31 CHEN K， REN J， ZHA T. The nexus of monetary policy and shadow banking in China ［J］. American Economic Review， 2018， 108（12）： 3891-3936.
32 陈小亮，王兆瑞，郭俊杰. 老龄化是否削弱了中国货币政策的“稳增长”效果？［J］. 经济学动态，2021，（5）：79-96.