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WANG, HONGLIN (2) answer(s).
 
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ID:   116515


Dual-track interest rates and the conduct of monetary policy in / Dong He; Wang, Honglin   Journal Article
Dong He Journal Article
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Publication 2012.
Summary/Abstract China has a dual-track interest-rate system: bank deposit and lending rates are regulated while money and bond rates are market-determined. The central bank also imposes an indicative target, which may not be binding at all times, for total credit in the banking system. We develop and calibrate a theoretical model to illustrate the conduct of monetary policy within the framework of dual-track interest rates and a juxtaposition of price- and quantity-based policy instruments. We show the transmission of monetary policy instruments to market interest rates, which, together with the indicative credit target in the banking system, ultimately are the means by which monetary policy affects the real economy. The model shows that market interest rates are most sensitive to changes in the benchmark deposit interest rates, significantly responsive to changes in the reserve requirements, but not particularly reactive to open market operations. These theoretical results are verified and supported by both linear and GARCH models using daily money and bond market data. Overall, the findings of this study help us to understand why the central bank conducts monetary policy in China the way it does, using a combination of price and quantitative instruments with differing degrees of potency in terms of their influence on the cost of credit.
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2
ID:   124550


Social learning and parameter uncertainty in irreversible inves: evidence from greenhouse adoption in northern China / Wang, Honglin; Yu, Fan; Reardon, Thomas; Huang, Jukun and Rozelle, Scott   Journal Article
Wang, Honglin Journal Article
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Publication 2013.
Summary/Abstract This paper aims at an important gap in the literature, which has not modeled the effect of social learning in a real option context and examined uncertainty-reduction measures through social learning. This paper addresses the gap by modeling social learning as a way of reducing parameter uncertainty, thus facilitating technology adoption and shortening the waiting time in irreversible investments. We use household-level data on intermediate-technology greenhouse adoption in northern China to test the predictions in both a linear probability model and a duration analysis. Our empirical findings support the hypothesis. We also find that market volatility and insecure land property rights discourage adoption.
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