关于国际自由贸易与环境保护的理论多视角研究

由于立场不同。国际上关于自由贸易与环境保护的理论存在着较多分歧。本文主要从发达国家视角、发展中国家视角、全球视角这三个方面对相关理论进行了分类介绍和评述。文章最后对自由贸易和环境保护之间的关系进行了归纳，希望能对我国在可持续发展的基础上更好地开展自由贸易提供一些理论参考。     

基于信息化社会会计假设的反思

随着网络技术的发展与应用,对财务会计提出了挑战,有学者认为,传统的财务会计假设已不再适用。本文认为,信息化只是在一定程度上影响了会计假设,并没有改变会计假设的实质,会计假设在会计理论和会计实务中的地位并未发生实质性的动摇。采用实时报告系统,能够有效解决信息化对会计分期假设和持续经营假设的影响。     

对西方主流宏观经济学均衡假定的反思——从凯恩斯主义的投资恒等于储蓄说起

自从凯恩斯的《通论》出版以来,宏观经济学就逐渐成为一个比较系统而相对独立的学科,后人将凯恩斯的短期经济增长模型进一步长期化为外生和内生经济增长理论.纵观主流宏观经济学的理论构建,几乎都有一个共同的假设:市场能够自动实现均衡,但是,正是这个假设将西方主流宏观经济学引入了歧途.对于原凯恩斯主义、新古典综合派、新凯恩斯主义、哈罗德-多马的古典经济增长理论和索洛的新古典增长理论、新古典宏观经济学派而言,它都是一个难以回避的硬伤.     

Inference with Dependent Data in Accounting and Finance Applications

We review developments in conducting inference for model parameters in the presence of intertemporal and cross‐sectional dependence with an emphasis on panel data applications. We review the use of heteroskedasticity and autocorrelation consistent (HAC) standard error estimators, which include the standard clustered and multiway clustered estimators, and discuss alternative sample‐splitting inference procedures, such as the Fama–Macbeth procedure, within this context. We outline pros and cons of the different procedures. We then illustrate the properties of the discussed procedures within a simulation experiment designed to mimic the type of firm‐level panel data that might be encountered in accounting and finance applications. Our conclusion, based on theoretical properties and simulation performance, is that sample‐splitting procedures with suitably chosen splits are the most likely to deliver robust inferential statements with approximately correct coverage properties in the types of large, heterogeneous panels many researchers are likely to face.     

International Transmission Channels of U.S. Quantitative Easing: Evidence from Canada

The U.S. Federal Reserve responded to the great recession by implementing quantitative easing, or large‐scale asset purchases, when its conventional policy rate reached the zero lower bound. We assess the international spillover effects of this quantitative easing program on the Canadian economy in a factor‐augmented vector autoregression (FAVAR) framework, by considering a counterfactual scenario in which the Federal Reserve's long‐term asset holdings do not rise in response to the recession. We find that U.S. quantitative easing boosted Canadian output, mainly through the financial channel.     

Financial Stress Regimes and the Macroeconomy

Some financial stress events lead to macroeconomic downturns, while others appear to be isolated to financial markets. We identify financial stress regimes using a model that explicitly links financial variables to macro‐economic outcomes. The stress regimes are identified using an unbalanced panel of financial variables with an embedded method for variable selection. Our identified stress regimes are associated with corporate credit tightening and with NBER recessions. An exogenous deterioration in our financial conditions index has strong negative effects in economic activity, and negative amplification effects on inflation in the stress regime. These results are obtained with a novel factor‐augmented vector autoregressive model with smooth‐transition regimes (FASTVAR).     

Why are there time-varying comovements in the European stock market?

This paper analyzes the dynamics of pair comovements between different domestic European stock market returns (Spain, France, Germany, Switzerland and the United Kingdom) seeking to check whether there is a unique source of risk driving those dynamics. Once it is shown that the comovements are time-varying, the question is to find whether a global index such as the Euro Stoxx can be considered the main source of risk. To that end we estimate and test for time-varying global pair covariances and for time-varying remaining pair covariances once the effect of the Euro Stoxx is removed. The empirical results are obtained considering locally stationary variables, a family that includes variables with first and second time-varying moments. Under that framework time-varying means and covariances can be estimated using a spline-based procedure and Wald-type statistics can be computed to test for time-variations. A simulation study shows that the role of the mean estimation part is crucial to the good performance of the tests for second moments. The empirical results evidence that all global pair covariances for the European countries analyzed are time-varying, but also that the Euro Stoxx can be considered as the driving source of risk for these time-varying dynamics. This conclusion is very useful for modeling purpose and financial strategies. Finally, we repeat the analysis considering the Nasdaq as an alternative global index and find that it explains only a small part of the dynamics in the European pair comovements.     

Carbon taxes and the double dividend hypothesis in a recursive-dynamic CGE model for Spain

A carbon tax is potentially a policy that can reduce CO₂ emissions and mitigate climate risks, at lowest economy-wide costs. We develop a dynamic CGE model for Spain to assess the economic and environmental effects of a carbon tax, and test the double dividend (DD) hypothesis. We simulate the impact of three carbon taxes: €10, €20 and €30 per ton of CO₂. For each tax, four ‘revenue recycling’ scenarios are examined: a reduction of taxes on capital, on labor, on value-added tax, and a scenario in which revenues are not recycled. We find a DD for taxes of €10/ton and lower, within five to seven years of implementation. We estimate an annual CO₂ emissions reduction of around 10% with this tax. Under some circumstances, the DD can be achieved for a tax of €20/ton. In any case, recycling revenues to cut pre-existing taxes reduces costs of imposing carbon taxes.     

Measuring the liquidity part of volume

Based on the concept that the presence of liquidity frictions can increase the daily traded volume, we develop an extended version of the mixture of distribution hypothesis model (MDH) along the lines of Tauchen and Pitts (1983) to measure the liquidity portion of volume. Our approach relies on a structural definition of liquidity frictions arising from the theoretical framework of Grossman and Miller (1988), which explains how liquidity shocks affect the way in which information is incorporated into daily trading characteristics. In addition, we propose an econometric setup exploiting the volatility–volume relationship to filter the liquidity portion of volume and infer the presence of liquidity frictions using daily data. Finally, based on FTSE 100 stocks, we show that the extended MDH model proposed here outperforms that of Andersen (1996) and that the liquidity frictions are priced in the cross-section of stock returns.