Credit market imperfection and sectoral asymmetry of Chinese business cycle /

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Bibliographic Details
Author / Creator:Zhang, Yuanyan Sophia, author.
Imprint:[Washington, D.C.] : International Monetary Fund, ©2011.
Description:1 online resource (36 pages) : illustrations
Language:English
Series:IMF working paper ; WP/11/118
IMF working paper ; WP/11/118.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12499345
Hidden Bibliographic Details
Other authors / contributors:International Monetary Fund. European Department, issuing body.
ISBN:1283554860
9781283554862
9781455264384
1455264385
Notes:Includes bibliographical references.
Summary:This paper analyzes the role of credit market imperfection and sectoral asymmetry as a means through which shocks to the real economy are propagated and amplified. Drawing on firm-level data to calibrate the model, our simulations capture two key stylized facts of the Chinese economy: that credit constraints are more binding in nontradable sectors than in tradable industries and that output volatility is much greater in China than in industrial economies. We find that the driving force behind our simulation results is strongly related to the non-uniform nature of credit market imperfections in China and their implications for resource allocation and the way in which the economy reacts to shocks. Correctly capturing these macro-financial interactions are essential to understand the dynamic behavior of the Chinese economy.
Other form:Print version: Zhang, Yuanyan Sophia. Credit Market Imperfection and Sectoral Asymmetry of Chinese Business Cycle. Washington : International Monetary Fund, ©2011 9781455262410

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245 1 0 |a Credit market imperfection and sectoral asymmetry of Chinese business cycle /  |c Yuanyan Sophia Zheng. 
260 |a [Washington, D.C.] :  |b International Monetary Fund,  |c ©2011. 
300 |a 1 online resource (36 pages) :  |b illustrations 
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490 1 |a IMF working paper ;  |v WP/11/118 
520 |a This paper analyzes the role of credit market imperfection and sectoral asymmetry as a means through which shocks to the real economy are propagated and amplified. Drawing on firm-level data to calibrate the model, our simulations capture two key stylized facts of the Chinese economy: that credit constraints are more binding in nontradable sectors than in tradable industries and that output volatility is much greater in China than in industrial economies. We find that the driving force behind our simulation results is strongly related to the non-uniform nature of credit market imperfections in China and their implications for resource allocation and the way in which the economy reacts to shocks. Correctly capturing these macro-financial interactions are essential to understand the dynamic behavior of the Chinese economy. 
504 |a Includes bibliographical references. 
505 0 |a Cover Page; Title Page; Copyright Page; Contents; Abstract; I. Introduction; II. Literature Review; III. Macroeconomic Pattern; A. Co-movement of Credit with Key Macroeconomic Variables; Table 1. Comovement of Credit with Other Macroeconomic Variable; B. Phase and Sectoral Asymmetry; Figure 1. Nontradable to Tradable Output Ratios over Credit Cycle; Figure 2. Impulse Responses from Threshold VAR; IV. Firm Level Evidence; A. Dataset; Table 2. Summary Statistics of Datasets; Table 3. Variances in Relative Tradable Prices Across Industries; B. Summary Statistics. 
505 8 |a Figure 3. Financing Sources for Fixed Investment: 1995-2007Table 4. Financing Sources for Working Capital and Fixed Investment (Firm Level); Table 5: Summary of Financial Statement; Table 6. Bank Loan Obstacles by Sectors, Ownership Types and Sizes; C. Investment Function Estimation; Table 7. Investment Function Estimation Results; V. Macroeconomic Model; A. Core Mechanism; Figure 4: Core Mechanism; B. Complete Model; C. Calibration; Table 8. Second Moment Properties; Table 9. Bayesian Estimation; VI. Results and Sensitivity Analysis; A. Impulse Responses; Figure 5. Impulses Responses. 
505 8 |a Figure 6. Varying Financial Accelerator Scenarios: Impulse Responses for Key VariablesB. Second Moment Properties; C. Simulation; Figure 7. Simulation Results versus Data; VII. Policy Implications; VIII. Conclusion and Further Research; References; Footnotes. 
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