If You’re Going Through Hell,Keep Going: Nonlinear Effects of Financial Liberalization in Transition Economies

Did increasing the level and pace of financial liberalization during transition expose countries to crises? And if a crisis did strike, did liberalization do more harm or good? Using a database of 28 transition economies over 22 years, this article examines these questions across a host of economic outcomes, including savings and the size of the private sector. The results provide evidence that, while liberalization may initially increase the probability of a crisis, the prospect of a crisis drops dramatically at higher levels of financial openness. Moreover, the benefits of liberalization across several metrics outweigh the risks of these intermediate stages.     

Financial Development,Interest Rate Liberalization,and Macroeconomic Volatility

This article examines the relationship between financial development, interest rate liberalization, and macroeconomic volatility in fifty-six emerging and developed economies over the period 1980–2009. We find that financial development plays a significant role in dampening the volatility of macroeconomic growth rate, but up to a limit. The more the interest rate is liberalized, the more likely that financial development can stabilize the economy. Particularly, interest rate liberalization has a more positive influence on emerging and developing countries. Financial development and interest rate liberalization can also alleviate the influence of external shocks. They mutually enhance their functions as economic stabilizers.     

基于金融自由化的中国金融安全预警研究

国际经验表明,金融自由化程度越高,金融体系的脆弱性越大,发生金融危机的机率越高,金融安全越重要。本文遵循"金融自由化—金融危机—金融安全"的逻辑思路,运用改进的熵值法和KLR信号法对我国金融安全进行实证研究,得出结论认为,1994年以来我国金融业基本在相对安全的情况下运行,但我国有必要建立一套金融安全预警体系。     

Impact of Cross-Strait Trade Liberalization： A Computable General Equilibrium Analysis

This paper applies a computable general equilibrium model to investigate the potential economic effects of trade liberalization across the Taiwan Strait. Our simulation results reveal that cross-Strait trade liberalization will have significant positive impacts on external trade, domestic investment and real GDP for the economies in this area in general and in Taiwan in particular. Furthermore, the negative impact from the formation of a free trade arrangement between Taiwan and Chinese Mainland on Hong Kong seems to be rather small. These results suggest that cross-Strait trade liberalization is very likely to bring about a win-win situation for the economies in this area.     

资本市场开放与会计信息可比性——来自“沪港通”的经验证据

以2014年“沪港通”的实施作为外生事件，基于双重差分模型实证检验“沪港通”政策对于会计信息可比性的影响。研究发现：“沪港通”政策的实施显著提升了上市公司会计信息的可比性；“沪港通”政策通过公司治理机制提高了上市公司会计信息的可比性。“沪港通”政策对于提高我国资本市场的会计信息质量具有一定的积极作用，为我国后续资本市场进一步对外开放提供了经验证据。     

Trade Liberalization and Wage Inequality: Evidence from the U.S. States

This paper examines the relationship between trade liberalization and wage inequality for 50 U.S. states during the period from 1999 to 2008. The Difference-in-Differences and fixed effects methods are employed to evaluate the effect of trade liberalization on wage inequality in the U.S. states. Empirical results reveal that trade liberalization and de-unionization do increase the wage inequality between skilled and unskilled workers. Evidence shows skill-biased technological change has no significant impact on rising wage inequality. As Difference-in-Differences estimation on time-series cross sectional data involves many years, the conventional standard errors often understate the standard deviation of the estimators. This paper employs the standard bootstrapping procedure and the clustering error procedure to correct the problem, and all sign patterns still hold.     

Empirical research on time-varying characteristics and efficiency of the Chinese economy and monetary policy: evidence from the MI-TVP-VAR model

Based on the general time-varying parameter vector autoregressive model and data mining technology, this study proposes a new extension mixed innovation time-varying parameter stochastic volatility vector autoregressive model and investigates time-varying characteristics and efficiencies of different shock effects on China’s monetary policy towards inflation and GDP. Using sample monthly data for 1979–2014, we utilize typical time points to illustrate the mechanisms between different economic variables via the Markov Chain Monte Carlo method and impulse response function. The empirical results show that the monetary transmission mechanism in China can be effective in the real economy, but with delay and efficiency leakage. The average delay and maximum efficiency can be measured through the MI model, which can capture accurate information of economic variables, effectively improving the precision of macroeconomic regulation and control. Meanwhile, the difference between the impacts of different channels is obvious; while the impact of interest rates is not significant, the impact of stock market is significant. The action mechanism between GDP and the inflation rate undergoes a gradual structural change, evidently displaying time-varying characteristics and a gradually weakening impact over time.     

A North–South model of outsourcing and growth

In this paper, I formulate a simple North–South R&D‐based growth model where final goods firms in the North endogenously determine the range of international outsourcing of intermediate goods to the South. I show that a fall in the trade cost (through trade liberalization) of intermediate goods in the North: (i) reduces the wage of the North relative to that of the South; (ii) increases the outsourced variety of intermediate goods in the North; and (iii) stimulates Northern R&D activity and economic growth in both countries. By conducting welfare analysis, I also show that a decline in the trade cost of intermediate goods in the North improves welfare in the South more than in the North.     

Banking System Reform in China: The Challenges to Improving Its Efficiency in Serving the Real Economy

The Chinese banking system reform since the country's accession to the World Trade Organization has yielded remarkable success. The major listed commercial banks have improved their operational performance significantly. However, there are some signs of changes in their financial results recently. The expanding debt of non‐profitable enterprises and local governments raises a question on the achievements of the previous reform. Considering that the competition among banks will become severer with financial liberalization under slower economic growth, the banks and supervisory authorities must continue to make greater efforts towards further reform in order to improve the banks' corporate governance and the risk management system.     

Liberalization,Regulatory Delays and Vulnerability to Systemic Banking Crisis

This work aims at contributing to the improvement of the early warning systems of banking crises using a new approach accounting for model uncertainty. We show that a multinomial logit model based on Bayesian model averaging (BMA) is a good strategy to predict banking crisis. To do this, we argue that differences in vulnerability to banking crisis can be largely explained by an asymmetry between financial market evolution and regulation update on a sample of 49 developed and developing countries between 1980 and 2010. When markets are liberalized, competition pushes bankers to take more risks and take advantage of regulatory delays thus increasing crises probabilities. Our empirical evidence supports that crisis probability is higher in country liberalizing their banking system when regulation is not updated. We developed an early warning system for systemic banking crises based on the multinomial logit model. Its main difference to existing prediction models and its contribution to the literature is that it is intended to identify and resolve what is called by Bussiere and Fratzscher [(2006). Towards a new early warning system of financial crises. Journal of International Money and Finance, 25(6), 953–973] as post-crisis bias in binomial models and to develop a new methodology of leading indicators selection based on BMA. Overall, our model predicts all banking crises during our sample period.