On Targeting Frameworks And Optimal Monetary Policy

We show that speed limit policy, a monetary policy strategy that focuses on stabilizing inflation and the change in the output gap, consistently outperforms flexible inflation targeting and flexible price level targeting in empirical medium‐scale DSGE models under discretionary policymaking. In contrast to small‐scale New Keynesian models, this welfare ranking of the targeting frameworks is not overturned when inflation dynamics are mostly backward‐looking. Importantly, the performance of the speed limit policy shows less sensitivity to its parameterization than other frameworks that target the inflation rate or the price level.     

众创空间集聚的连续距离测度及影响因素分析

基于253家浙江省众创空间的微观数据，文章在运用连续距离的测度方法测算众创空间集聚水平的基础上，采用零膨胀负二项回归等方法实证分析众创空间集聚的影响机制。研究发现，众创空间的地理分布存在显著的区域差异，主要分布在杭州和宁波市辖区，选址具有明显的集聚特征。回归结果显示，区域创新能力和生态环境均对众创空间的地理集聚具有促进作用，但两者之间存在明显的替代效应；尽管不能直接促进众创空间的集聚，政策引导与创新能力之间具有较显著的互补效应。据此，文章从培育创新能力和优化创新激励等方面提出了政策建议。     

State‐Dependent Forward Guidance and the Problem of Inconsistent Announcements

Forward guidance can be provided as an unconditional promise, i.e. commitment to a specific low policy rate. Alternatively, the promise may include an escape clause, i.e. a condition defining the state of the economy under which the central bank would not keep such a low rate and, instead, it would revert to setting policy under discretion. The escape clause can be expressed as a threshold in terms of a specific variable. The present paper shows that, when such a threshold is expressed in terms of an endogenous variable (e.g. output, inflation), there are cases where it becomes impossible for the central bank to act in a way that is consistent with its promise. Consistency imposes limits on the policy rate that can be set since reverting immediately to the optimal discretionary rate can be incompatible with exceeding the threshold.     

Impact of walking speed on tourist carrying capacity: The case of Maiji Mountain Grottoes,China

This paper analyzes the impact of walking speed on tourist carrying capacity. To do so, a combination of simulation experimentation and on-the-ground experiment is suggested to work in a study case, Maiji Mountain Grottoes, China. The simulation findings indicate that walking speed has a negative impact on tourist carrying capacity and the correlation coefficient is 0.64, for the reason that walking takes up more space. The on-the-ground experiment shows that carrying capacity is not a unified limit all over a destination, but changeable temporally and spatially, and its estimation needs to be adjusted according to the minimum area required per tourist and tourist activity. The method applied in this paper and the simulation findings can serve as a methodological tool for further research about tourist carrying capacity where the main activity of tourists is walking while watching.     

Co-creation with clients of hotel services: the moderating role of top management support

Hotels can strengthen their competitiveness by expanding their innovation process beyond the boundaries of the firm to exploit the valuable knowledge and skills of their customers. This study examines the effects of new service (NS) co-creation with customers in the hotel industry on NS performance, as well as the moderating role of top management support. The research also explores the main barriers faced by hotels to co-create service innovations. Partial least squares structural equation modelling results indicate that Customer co-creation exerts a direct impact on NS market outcomes and NS development (NSD) speed, which in turn favours NS quality. NS quality translates into better NS customer-related outcomes as well as in improved NS market outcomes. Top management support enhances the effect of Customer co-creation on the NSD speed. The main barrier to NS co-creation in hotels is to find customers interested in devoting time to this activity or with the appropriate knowledge and experience.     

高速铁路建设对知识密集型服务业发展的影响：一个实证

知识和创新溢出存在空间壁垒，高速铁路能打破区域空间阻隔，缩小时空距离，促进以知识和创新为显著特征的知识密集型产业发展。构建2006-2015年省级面板数据，使用固定效应模型，从区域层面和细分产业层面研究高速铁路建设对我国知识密集型服务业发展的影响。结果发现，高速铁路建设与我国知识密集型服务业从业人员数量增加呈显著正相关关系；对东部地区知识密集型服务业发展影响不够显著，但对中西部地区知识密集型服务业固定资产投资起显著促进作用。这表明，高速铁路修建改善了区域投资环境，打破了区域阻隔，有助于增进知识溢出效应、加速要素流动，对中西部地区知识密集型服务业发展和产业升级具有重要意义，进一步证实在中西部地区建设高速路具有正确性和必要性。     

Is faster or slower trading better? An examination of order type execution speed and costs

We examine order type execution speed and costs for US equity traders. Marketable orders that execute slower exhibit lower execution costs. Those who remove liquidity faster and pay higher trading costs transact in smaller size, spread trading across more venues, take more liquidity, and are better informed. Nonmarketable limit orders that execute slower exhibit greater adverse selection; and larger, uninformed traders who concentrate their trading in fewer venues submit them. Our findings suggest that slowing down the trading process, when faster options exist, can benefit certain market participants who seek to cross the bid–ask spread.     

Probabilistic wind forecasting up to three months ahead using ensemble predictions for geopotential height

We develop a method for forecasting the distribution of the daily surface wind speed at timescales from 15-days to 3-months in France. On such long-term timescales, ensemble predictions of the surface wind speed have poor performance, however, the wind speed distribution may be related to the large-scale circulation of the atmosphere, for which the ensemble forecasts have better skill. The information from the large-scale circulation, represented by the 500 hPa geopotential height, is summarized into a single index by first running a PCA and then a polynomial regression. We estimate, over 20 years of daily data, the conditional probability density of the wind speed at a specific location given the index. We then use the ECMWF seasonal forecast ensemble to predict the index for horizons from 15-days to 3-months. These predictions are plugged into the conditional density to obtain a distributional forecast of surface wind. These probabilistic forecasts remain sharper than the climatology up to 1-month forecast horizon. Using a statistical postprocessing method to recalibrate the ensemble leads to further improvement of our probabilistic forecast, which then remains calibrated and sharper than the climatology up to 3-months horizon, particularly in the north of France in winter and fall.     

微纳卫星组网星间链路设计及关键技术分析

微纳卫星组网应用可大幅度提高航天装备的能力，较单颗大卫星具有明显的优势。首先，介绍了国内外微纳卫星组网的研究情况，以组网侦察应用为例分析了星间测量与通信链路的技术需求，并进行了系统架构和体制设计；其次，在星座设计基础上开展系统仿真，并提出了一体化设备实现方案；最后，分析了微纳卫星组网系统中几项重要的关键技术及其解决方案，对系统的设计和工程实现具有参考价值。     

Information leakage of ADRs Prior to company issued guidance

We examine whether the degree of selective disclosure (as measured by information leakage prior to managerial earnings guidance) of foreign firms with ADRs is different from that of U.S. firms. We find that there is no variation of leakage before earning guidance between ADRs and U.S. firms. This result is consistent with the prediction that, despite being exempt from Regulation FD, ADRs have sufficient incentives to avoid selective disclosure even without the regulatory enforcement. In addition, we attempt to determine whether the variation in selective disclosure among the foreign firms with ADRs is conditioned on the respective home country transparency and governance standards. We find that country-specific characteristics, such as corruption perception, economic freedom and the legal system origin, explain the variation in information leakage of ADRs.