Resurrecting the size effect: Evidence from a panel nonlinear cointegration model for the G7 stock markets

Firm size is known to be an important factor affecting stock returns. This study proposes a panel threshold cointegration model to investigate the impact of the size effect on stock returns for the panel of G7 countries: Canada, France, Germany, Italy, Japan, the U.K., and the U.S. over the period 1991:1–2012:12. The empirical analysis is based upon the nonlinear cointegration framework using the asymmetric ARDL cointegration methodology (Shin et al., 2011). This methodological approach permits a much richer degree of flexibility in the dynamic adjustment process toward equilibrium, than in the classical linear model. Our findings indicate the presence of asymmetric adjustment around a unique long-run equilibrium. In particular, the empirical analysis provides evidence of asymmetric effects between stock returns and the size effect, while controlling for the book-to-market ratio and the price-to-earnings ratio.     

泸县农村宅基地有偿使用制度改革效果评价

[目的]宅基地有偿使用制度研究有利于推进宅基地制度改革,缓解无偿无限期带来的土地超占乱占和闲置问题。[方法]文章运用层次分析法和模糊综合评价法对2016年和2018年泸县农村宅基地有偿使用制度改革政策效果进行评价。[结果]政策的开展能有效推进村民自治建设进程,但政策的实施要注重公开透明性;有偿使用政策能有效缓解一户多宅、低效闲置、超占乱占等土地浪费现象实现土地的节约集约利用;政策的实施能有效地改善基础设施和农村面貌,但对泸县生产方式转变、新业态发展、农户生活水平提升影响力较小;总体来看农户对有偿使用政策满意度和支持度较高。[结论]针对当前有偿使用制度改革,该文认为宅基地有偿使用制度改革还应该完善有偿使用费收取管理政策,增强政策执行透明度;注重基层队伍建设,实现有偿使用费保值增值;合理选择安置模式,发展农村新业态;加强宅基地有偿使用与有偿退出的高效联动,推进宅基地制度改革进程。     

Forecast on silver futures linked with structural breaks and day-of-the-week effect

Silver future is crucial to global financial markets. However, the existing literature rarely considers the impacts of structural breaks and day-of-the-week effect simultaneously on the volatility of silver future price. Based on heterogeneous autoregressive (HAR) theory, we establish six new type heterogeneous autoregressive (HAR) models by incorporating structural breaks and day-of-the-week effect to forecast the volatility. The empirical results indicate that new models’ accuracy is better than the original HAR model. We find that structural breaks and the day-of-the-week effect contain much forecasting information on silver forecasting. In addition, structural breaks have a positive effect on the silver futures’ volatility. Day-of-the-week effect has a significantly negative influence on silver futures’ price volatility, especially in the mid-term and the long-term. Our works is the first to combine the structural breaks and day-of-the-week effect to identify more market information. This paper provides a better forecasting method to predict silver future volatility.     

Energy efficiency promotion backfires under cap-and-trade

Major climate-cum-energy policies and respective impact projections rest on the widespread belief that increased energy efficiency can be equated with savings in energy use and emissions. This belief is flawed. Due to the rebound effect emissions savings from energy efficiency improvements will be generally less than what is technically feasible, or even be reversed. By means of an analytical general equilibrium model we demonstrate the latter to be true in a case that is both stark and relevant: if electricity generation is subject to a cap-and-trade scheme with partial coverage, increased efficiency of electric devices leads unambiguously to increased carbon emissions. The result implies that a proper distinction between the energy rebound and the carbon rebound is warranted, and that public policy must carefully consider the interactions between energy efficiency promotion and carbon pricing.     

Spatial and operational factors behind passenger yield of U.S. nonhub primary airports

Nonhub airports are an essential component in the National Plan of Integrated Airport Systems (NPIAS) of the United States in that they connect regional towns and small communities to the air transportation network. Understanding the interplay of operational and spatial factors in determining average passenger yield of nonhub airports provides airlines with valuable information for network planning and revenue management. This study examines factors contributing to the yield variation among nonhub airports in the U.S. Using ordinary least squares (OLS) based econometric models, this study captures the spatial dependence of passenger yield of nonhub airports, which tends to increase with a corresponding increase in distance to the nearest large hub airport. Nonhub airports surrounding large hub airports with higher passenger enplanements and higher average yields also have higher yields than other nonhub airports. In addition, this study finds the effect of Allegiant Airlines in lowering the average passenger yield of the nonhub airports served directly by the airline, which can be termed as ‘Allegiant Effect’. Findings of this study could provide valuable guidance for airlines to analyze network planning strategies and to identify future markets for growth and for policymakers when allocating resources to communities relying on these nonhub airports.     

The signaling effects of education in the online lending market: Evidence from China

In this study, we use data from an online lending platform named Xinxindai in China to empirically study the signaling effects of education for the default risk of borrowers. Three dependent variables are created, namely, the probability of default, overdue payments and overdue amount, and probit models, count models and Tobit models are employed correspondingly. The number of universities in the “211 Project” of China at the city level is employed as the instrumental variable. The empirical evidence shows that education generally plays a strong signaling role in the identification of borrowers’ default risk in China. The negative marginal effect of education declines as borrowing times increase and as the marketization of regions deepens. This study helps to fill an important gap in the existing literature. Platforms and lenders can use educational level for reference in identifying the default risk of borrowers.     

Institutions and the financial development–economic growth nexus in sub-Saharan Africa

Using a sample splitting approach that does not impose an exogenous quadratic term, we examine the effect of financial development on economic growth in sub-Saharan Africa by allowing the link to be mediated by the level of institutions. Our findings reveal a disproportionate growth-enhancing effect of finance, given countries’ distinct level of institutional quality. More specifically, when the International Country Risk Guide-based measure of institutions is used as the threshold variable, below the optimal level of institutional quality, financial development does not significantly promote economic growth. For countries with institutional quality above the threshold, higher finance is associated with growth. However, when institutions are measured by World Governance Indicators proxy, we find a significant effect of financial development, irrespective of whether a country is below or above the threshold. Interestingly, the growth-enhancing effect of finance is greater for low-institution countries relative to high-institution countries. Thus, through its ability to provide some crucial roles, the well-developed financial sector may also perform the function of sound institutions in influencing economic growth.     

基础设施对中国经济增长的影响及机制研究*——基于扩展的Barro增长模型

基础设施既可以作为特殊的资本存量直接促进经济增长，又可以通过促进投资和劳动力增加（增加生产要素数量）以及提高存量资本和劳动力的边际生产率（提高生产要素效率）间接促进经济增长。本文构建了一个扩展的Barro经济增长模型，并利用中国1992—2016年省级面板数据和中介效应模型对两条机制进行实证检验。结果发现：基础设施对经济增长具有促进作用，但对交通、能源、通信三类基础设施的影响以及在2008年金融危机前后均表现出异质性。直接效应呈动态上升趋势，中介效应则逐渐下降。针对异质性的原因，本文进一步采用非线性模型进行检验。结果表明我国基础设施对经济增长的促进作用主要表现为规模扩张型、数量型或外延型，而不是以质量型和内涵型为主的形式。能源和通信基础设施对经济增长的总效应具有规模效应，交通基础设施的规模效应不显著，但也对经济增长具有持续促进作用。这说明目前我国三类基础设施仍然具有较大投资潜力。其中的关键是要通过基础设施建设提高生产要素效率。     

基于经济阈值效应的地方政府举债压力弹性研究

地区所处经济阶段差异会使地方政府行为激励产生异质性,进而影响地区举债压力弹性。从经济阈值效应的独特视角,探究不同经济门槛区间压力波动引起的地方政府举债行为变化,利用举债压力弹性解释地方政府债务规模扩张成因。基于我国283个地级市数据,构建门槛面板模型对理论假设进行经验检验。研究发现:从低到高的经济阈值区间下地方政府举债压力弹性翻倍增长,尤其是在第三经济阈值区间,举债规模扩张呈现加速度特征;财政压力对地方政府举债的刺激作用,只有在第三经济阈值区间才会得以释放;“土地财政”的存在强化了地方政府举债对压力变化的敏感度,并助推了地方政府举债压力的弹性波动。经济处于发达阶段的地方政府的举债压力敏感度,显著高于处于欠发达阶段的地方政府,因此,高水平的城市举债压力弹性及其潜在的债务风险应成为下一步关注的焦点。     

基于声誉效应的工程监理激励机制模型研究

为了提高工程监理工作积极性,基于Holmstrom-Milgrom模型,引入声誉效应,建立声誉效应和显性激励机制相结合的动态委托代理激励模型。分析声誉效应发挥激励机制作用条件,并与未考虑声誉效应的委托代理模型进行比较。结果表明:声誉效应在满足一定的条件下,引入声誉激励机制能够增加业主的期望收益,并且能提高监理的努力水平。最后,通过数值仿真模拟验证引入声誉效应的合理性。