The effects of public spending externalities

We conduct a positive analysis on the effects of ‘externalities’ produced by government spending. To this effect, we estimate, using U.S. data, an RBC model with two salient features. First, we allow government consumption to directly affect the marginal utility of consumption. Second, we allow public capital to shift the productivity of private factors. We provide an identification analysis that supports the strategy adopted for estimating the parameters governing these two channels. On one hand, private and government consumption are robustly estimated to be substitute goods. Because of substitutability, labor supply reacts little to a government consumption shock, so the estimated output multiplier is much lower than in models with separabilities. On the other hand, our results point towards public investment being ‘unproductive’.     

技术创新、金融创新与经济增长——基于中国省际面板数据

本文从实证分析层面对金融创新、技术创新与经济增长之间的作用关系进行探讨。基于我国 2000~2015 年省级面板数据，采用GMM估计方法，利用动态面板模型进行实证检验。结果表明：技术创新对经济增长的影响显著为正，单独的金融创新对经济增长起抑制作用，二者的交互作用则对经济增长起显著性正向作用。脱离实体经济的金融创新将抑制经济增长，也会间接阻碍技术创新对经济增长的影响。本文结合当前经济形势，从金融机构与创新企业相接轨共同提高创新水平、培养创新型人才等角度提出建议。     

Integrating partitioned prices via computational estimation

This paper introduces computational estimation to the literature on consumers’ numerical cognition. Computational estimation involves simplifying an arithmetic problem via mathematical procedures to produce an approximate answer. Employing calculation knowledge and approximation together, consumers are likely to use computational estimation as it is relatively accurate while saving cognitive effort compared to calculating values. Three studies applied to partitioned prices in the form of a base price and a percentage discount, demonstrate that when faced with this numeric integration task, the strategy consumers undertake is dependent on the characteristics of the numerals with discounts that are round or close to round being associated with greater use of computational estimation. Further, when employing computational estimation, consumers arrive at more accurate, and lower, price estimates in which they place more confidence than when using alternative an integration strategy. As a result, discounts that are near a round value are preferred to those that are not; a result that is dependent upon the use of computational estimation.     

Is ex-post credit risk affected by the cycles? The case of Italian banks

The objective of this research is to empirically examine if both credit and business cycle affect the ex-post credit risk (i.e. non-performing loans) in the banking system of Italy for the period 1995Q1–2014Q1. The increase in NPLs post-2008 has put into question the robustness of many European banks and the stability of the whole sector. It still remains a serious challenge, especially in Italy which is one of the countries that hit by the financial crisis. By employing fixed and random effects and a dynamic GMM estimation as econometric methodologies I find results that underline common causes for NPLs. Higher NPLs in Italy are mostly due to worse macroeconomic conditions (i.e. bad phase of business cycle) and due to excess credit. Through a Granger causality test, my arguments found even more support. Such findings can be helpful when designing macro-prudential as well as NPL resolution policies.     

Size,trend, and policy implications of the underground economy

We study the underground economy within a dynamic and stochastic general equilibrium framework. Our model combines limited tax enforcement with an otherwise standard two-sector neoclassical stochastic growth model. The Bayesian estimation of the model based on Italian data provides evidence in favor of an important underground sector in Italy, with a size that has increased steadily over the whole sample period. We show that this pattern is due to a steady increase in taxation. Fiscal policy experiments suggest that a moderate tax cut, along with a stronger effort in the monitoring process, causes a sizeable reduction in the size of the underground economy and provides a positive stimulus for the regular economy. Both of these effects jointly increase total fiscal revenues.     

DSGE pileups

The sampling distribution of estimators for DSGE structural parameters tends to be non-normal and/or pile up on the boundary of the theoretically admissible parameter space. This calls into question both the reliability of asymptotic approximations and the presumption of correct specification. This paper seeks to develop a conceptual framework for understanding how these phenomena arise, and to provide pragmatic methods for dealing with them in practice. The results are presented in three examples and a medium scale DSGE model.     

Free trade agreement and transport service trade

This study investigates the effects of free trade agreements (FTAs) on trade in transport services using OECD data from 2003 to 2006. Our analysis found that FTAs had a positive overall impact on transport services for multiple countries (i.e., 26 home and 56 partner countries). The resulting positive overall impact assures that, even with the challenges associated with different layers of services and the obstacles formed by generally low trade openness in the sector, the provisions in FTAs (e.g., national treatment and market access for goods and services) promote transport service trades. Our findings suggest that the provisions in FTAs encourage economic agents to increase engagement in transport services because of expanded openness of the physical movement of goods across international borders.     

中国玉米芯资源量估算及其开发利用

文章首先采用文献考证法,确定玉米芯产量与玉米产量之比值;在此基础上,采用副产品比重法,结合玉米产量统计数据,对全国及各省(市、自治区)的玉米芯产量进行估算,并分析其区域分布;通过实地调查,结合文献综述,从原料化、饲料化、基料化、能源化的角度,系统阐述我国玉米芯资源综合利用途径。结果表明:玉米芯产量与玉米产量之比为0.21;2013年全国玉米芯资源总产量为4 590万t,相当于全国秸秆总产量的4.90%或玉米秸秆总产量的19.10%。主要分布于东北地区与黄淮海地区,产量分别为1 586.61万t与1 185.41万t,两地区合计占全国玉米芯产量的60.42%。玉米芯是我国各类秸秆资源中高值化利用率较高的种类,其原料化、基料化、饲料化及能源化利用总量达到800万t左右。食用菌基料化、新型能源化利用是提高我国玉米芯综合利用水平的基本途径。多产品联产可有效地促进我国玉米芯工业原料化利用水平的不断提升。积极开展玉米芯发酵饲料技术推广与应用可为我国玉米芯资源高值化利用开辟新途径。     

数控车床加工实训中的故障分析

本文通过分析学生在数控车床实训时易产生的故障和操作失误,阐述了故障发生的原因、避免或排除的对策,以切实提高学生的数控加工能力。     

The determinants of commercial banking profitability in low-, middle-, and high-income countries

Using a broad bank-level dataset and the GMM estimator technique described by Arellano and Bover (1995), this paper analyses how bank-specific characteristics, macroeconomic variables, and industry-specific factors affect the profitability of 10,165 commercial banks across 118 countries over the period from 1998 to 2012. Grouping the countries according to three income levels, we show that the determinants of bank profitability included in our model can explain existing profitability differences among commercial banks in low-, middle-, and high-income countries. The profitability determinants vary quite widely across the different levels of income in terms of significance, sign and size of the effect. The level of income has thus an important impact on the determinants of bank profitability.