机床再制造业交易稳定性差的影响因素实证研究

提出了导致机床再制造业交易稳定性差的影响因素：支持影响交易、售后影响交易、特性及认可度影响交易、需求影响交易，探讨了四因素与机床再制造产业交易稳定性差的关系，以227个企业为调查对象，对收集的数据进行分析。研究结果表明：各假设因素得分从高到低依次是特性及认可度因素、需求因素、支持因素和售后因素。不同性质的企业在再制造机床交易稳定性影响因素的支持、售后、需求以及总问卷上都存在显著差异。     

Agricultural productivity growth in Latin America and the Caribbean: an analysis of climatic effects,catch‐up and convergence*

This paper investigates whether climatic adjusted total factor productivity (CATFP) in Latin America and the Caribbean (LAC) is converging, converging to different steady states or exhibit absolute convergence, that is the process does not require (government) interventions to reach its equilibrium path. We use data from the University of East Anglia’s Climatic Research Unit and from the Food and Agriculture Organization for 28 LAC countries over a 54‐year period (1961–2014) to estimate random parameters stochastic production frontier models to calculate CATFP and then use cross‐sectional regressions and an error correction model to analyse CATFP convergence across countries in the region. The results show that technological progress is the main driver of CATFP growth in the region and there is no absolute convergence, that is CATFP gaps across countries will not decrease over time and least performing countries will not grow faster than better performing ones without targeted policies. However, CATFP across LAC exhibits conditional convergence towards different steady states. Technological progress plays a critical role in raising the steady state level of CATFP with an overall average of 2.22 per cent per annum.     

因素分析法在施工统计分析中的应用

施工统计分析中因素分析法的应用,指的是对施工全过程出现的各种情况,运用统计方法进行分析,从中找出其中存在的规律,进而提出相应的解决措施。本文对于施工统计分析中因素分析法进行了剖析,对于其中存在的问题提出了相应的解决措施。     

The expected real yield and inflation components of the nominal yield curve

The term structure of real yields and expected inflation are two unobserved components of the nominal yield curve. The primary objectives of this study are to decompose nominal yields into their expected real yield and inflation components and to examine their behaviour using state-space and regime-switching frameworks. The dynamic yield-curve models capture three well-known latent factors – level, slope, and curvature – that accurately aggregate the information for the nominal yields and the expected real and inflation components for all maturities. The nominal yield curve is found to increase slightly with a slope of about 120 basis points, while the real yield curve slopes upward by about 20 basis points, and the expected inflation curve is virtually flat at slightly above 2 per cent. The regime-switching estimations reveal that the nominal yield, real yield and expected inflation curves have shifted down significantly since 1999.     

辽宁上市公司董事会报告透明度影响因素研究

以46家辽宁上市公司为样本,对影响董事会报告透明度因素的研究发现:股权集中度、管理层持股比例、董事会规模、独立董事比例与董事会报告透明度呈正相关关系;股权制衡度,董事长与总经理是否两职合一,审计意见类型与董事会报告透明度呈负相关关系。上市公司应该通过股票期权等方式提升管理人员的持股比例,激励他们积极治理公司,提高董事会报告信息披露的透明度;上市公司第二大股东应适度提高持股比例,防止一股独大现象;同时减少董事长与总经理两职合一,也会有助于提高董事会报告的透明度。     

Modelling the implied volatility surface based on Shanghai 50ETF options

We develop a dynamic factor model to forecast the implied volatility surface (IVS) of Shanghai Stock Exchange 50ETF options. Based on the assumption that dynamic change in IVS is mean-reverting and Markovian, we use a state space model to capture the dynamics of IVS, and set the latent factors to be the Ornstein–Uhlenbeck processes. We obtain the optimal estimations of parameters using the Kalman filter algorithm. Empirical results show that our model performs better than the traditional IVS model in terms of fitting ability and prediction performance.     

我国商业银行体系脆弱性形成因素及应对策略

美国次贷危机引发的全球金融危机迅速蔓延,并对世界经济体系和金融体系造成严重损害。我国商业银行体系脆弱性现况明显,本文从我国国有银行的现况进行分析,然后对其原因进行分析。介绍了因子分析的思想及方法,然后运用因子分析模型进行了数据分析。最后提出防范国有商业银行脆弱性的对策和建议。     

Efficiency evaluation of the regional high-tech industry in China: A new framework based on meta-frontier dynamic DEA analysis

This paper proposes a new framework based on the combination of the dynamic DEA, meta-frontier analysis theory, and truncated regression model, and then focuses on the efficiency evaluation of regional high-tech industries in China. For all of the overall technical efficiency, technical efficiency, and scale efficiency scores, the east area is always in the lead, with the central and west areas obviously lagging behind. The eastern area has the highest technology level, whereas the west and central areas fall behind in turn. However, the meta-technology ratio of the west area has rapidly increased and presents a trend of catching up with the east. The variables of GRP per capital, total exports and imports, highway mileage per capita, and ratio of tertiary industry to GRP have positive relationships with technical efficiency, and the time trend exhibits a negative coefficient.     

基于IPA方法的非中心城市酒店一线员工满意度研究

酒店业普遍存在一线员工工作满意度过低的问题,导致一线员工频繁地跳槽,人才流失严重,影响了整个酒店业的发展。在如今一线中心城市尚且存在高度"用工荒"的情况下,非中心城市的星级酒店如何留住一线员工?本文通过对市级不同星级酒店的实地调查研究以及对个别酒店领导的访谈,通过IPA方法分析了影响一线员工工作满意度的具体因素。     

Modelo de gestión logística para pequeñas y medianas empresas en México

The market opening and the globalization of supply chains, demand a structural changes in which logistics has a strategic role. Nowadays, clients evaluate product quality, its value added and its availability in time and form, which implies a need to make the process efficient. Several experts have proposed some logistics management models to increase competitiveness in the market, but some of these models are too ambitious for small and medium sized enterprises (SMEs) due to their informal structure and their lack of technical knowledge; other models make indirect reference to the internal information flows, which include whole system disintegration because of the weak interrelation among the different areas. In Mexico, SMEs represent 4.2%, they generate 31.5% of employment and provide 37% of the gross domestic product; that is why it is important to reinforce their competitive position in the market. This research presents the design of a conceptual model of logistic management for SMEs which could provide comprehensive solution through control of the variables involved in the logistics process; to verify that the variables considered in each identified dimension are correct factor analysis was used.