中国玉米期货市场的价格引导作用究竟有多大?——基于VECM模型的实证分析

基于Johansen协整分析、向量误差修正模型(VECM)以及方差分解等计量分析方法对中国的玉米期货市场、玉米现货市场、CBOT玉米期货市场以及中国大豆期货市场四者之间的动态关系与相互冲击机制进行了深入的研究。研究发现:四个市场的一阶非平稳的时间序列构成了协整关系,即它们之间具备了长期均衡关系,中国玉米期货市场对现货市场以及存在关联性的大豆期货市场具有良好的价格发现与引导功能。但是由于我国玉米产业对外开放程度不够,所以我国的玉米期货在国际玉米定价体系中还没有达到支配性的地位。     

云计算环境下的审计业务模式变革研究简

云计算环境下的审计业务模式是未来审计信息化发展的必然趋势。在归纳了IT环境下审计业务模式演变并从IT和审计两个角度诠释“云审计”及其国内外研究应用现状的基础上,以审计业务流程为主线,从云服务与审计结合的技术场景、云计算环境下的审计业务流程实现步骤以及云计算应用所引起的审计业务风险变化三个方面出发,分析云计算环境下的审计业务模式变革,为掌握云计算应用所带来的审计业务流程变革、迎接云审计时代的到来提供理论基础。     

快速城镇化地区不同生计类型农户耕地利用集约度评价 ——以上海市青浦区为例

研究目的:针对快速城镇化地区农户生计分化现象,以上海市青浦区为例,对不同生计策略类型农户的耕地利用集约度进行评价,并分析其影响因素,以期为改善农户土地利用行为、实现土地资源合理高效利用与农户生计可持续发展提供政策参考。研究方法:运用价值形态测度方法核算各生计类型农户的耕地利用集约度,以两水平方差成分模型确定耕地利用集约度影响因素。研究结果:(1)不同生计策略类型农户耕地利用集约度存在差异性,大小顺序依次为专业农业型、传统农业型、农业兼业型、非农兼业型,劳动集约度与资本集约度排序与之基本一致;(2)同一生计策略类型农户的耕地利用集约度存在相似性,耕地利用集约度的总变异中有24.32%是由农户生计策略类型不同而引起的,水平一中农业收入比重、农业补贴、耕地面积、地块平均离家距离、农户离集镇距离与水平二中是否兼业等是影响农户耕地利用集约度的显著因素;(3)模型拟合效果评价表明该方法具有可行性。研究结论:耕地利用集约度不仅与农户自身禀赋有关,而且受生计类型影响,政府相关部门应结合当地实际情况引导农户对这两方面进行调整或完善。     

Sustainable tourism planning and climate change adaptation in the Alps: a case study of winter tourism in mountain communities in the Dolomites

A vast body of literature suggests that the European Alpine Region is extremely sensitive to climate change. Winter tourism is closely related to climate variations, especially in mountain regions where resorts are heavily dependent on snow. This paper explores how to effectively integrate a climate change adaptation perspective with local discourses about sustainability and tourism, an increasing priority for policy-makers in the region and elsewhere. It reports on the development and application of a participatory decision support process for the analysis of adaptation strategies for local development of an Alpine tourism destination, Auronzo di Cadore (Dolomites, Italy). This experience significantly contributed to the idea that an efficient combination of modelling capabilities, decision support tools, and participatory processes can substantially improve decision-making for sustainability. The authors show that, in this case study, such a combination of methods and tools allowed for managing the involvement of local actors, stimulating local debates on climate change adaptation and possible consequences on winter tourism, encouraging creativity and smoothing potential conflicts, and easing the integration of the qualitative knowledge and the preferences of the involved actors with quantitative information. This contributed to an integrated sustainability assessment of alternative strategies for sustainable tourism planning.     

Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty

In this paper, we present a practical methodology for variance estimation for multi‐dimensional measures of poverty and deprivation of households and individuals, derived from sample surveys with complex designs and fairly large sample sizes. The measures considered are based on fuzzy representation of individuals' propensity to deprivation in monetary and diverse non‐monetary dimensions. We believe this to be the first original contribution for estimating standard errors for such fuzzy poverty measures. The second objective is to describe and numerically illustrate computational procedures and difficulties in producing reliable and robust estimates of sampling error for such complex statistics. We attempt to identify some of these problems and provide solutions in the context of actual situations. A detailed application based on European Union Statistics on Income and Living Conditions data for 19 NUTS2 regions in Spain is provided.     

Reaffirming the CEO effect is significant and much larger than chance: A comment on Fitza (2014)

A recent study by Fitza argued that the prior estimates of the Chief Executive Officer (CEO) effect are conflated with events outside the CEO's control, are largely the result of random chance, and that the true CEO effect is smaller than has been previously estimated. We suggest that the empirical methodology employed by Fitza to support these claims substantially overstates the “random chance” element of the CEO effect. We replicate Fitza's findings, highlight methodological issues, offer alternative conclusions, and using multilevel modeling (MLM), suggest that his analyses mischaracterize the CEO effect. Copyright © 2016 John Wiley & Sons, Ltd.     

福建省服务业FDI对服务贸易影响的实证研究

通过构建VAR模型,并运用协整检验、脉冲响应函数与方差分解等分析方法,对福建省2000-2012年服务业实际利用FDI与服务贸易之间的长期动态关系进行了实证研究.结果显示:在短期内,服务业FDI与服务出口存在互补关系,与服务进口存在替代关系;长期来看,服务业FDI与服务进出口的关系不稳定.最后根据结论给出一些政策建议.     

中国货币供应、通货膨胀及经济增长关系实证研究

采用协整与方差分解的方法时中国货币供应、通货膨胀与经济增长的关系进行实证研究发现,通货膨胀与经济增长在短期和长期中作用关系相反,但都具有回归自然水平趋势,货币供应时通货膨胀和经济增长的影响具有滞后效应,长期内货币非中性。而通货膨胀和经济增长并不影响货币供应。一方面。应当采取措施降低货币供应增长率：另一方面,偏紧货币政策的滞后效应可能导致经济紧缩应当采取措施降低货币供应增长率,因此应谨慎调控宏观经济政策,以避免金融风险。     

Unveiling covariate inclusion structures in economic growth regressions using latent class analysis

We propose the use of Latent Class Analysis methods to analyze the covariate inclusion patterns across specifications resulting from Bayesian model averaging exercises. Using Dirichlet Process clustering, we are able to identify and describe dependency structures among variables in terms of inclusion in the specifications that compose the model space. We apply the method to two datasets of potential determinants of economic growth. Clustering the posterior covariate inclusion structure of the model space formed by linear regression models reveals interesting patterns of complementarity and substitutability across economic growth determinants.     

Assessing time-varying stock market integration in Economic and Monetary Union for normal and crisis periods

In this paper, we examine the stock market integration process amongst 17 Economic and Monetary Union (EMU) countries from January 2002 to June 2013 over a normal period as well as for the Global Financial Crisis (GFC) and Eurozone Debt Crisis (EDC) periods. We classify the economies in three groups (A, B and C) based on their GDP to examine whether the economic size influences financial integration. Seven indicators are used for the purpose, namely, beta convergence, sigma convergence, variance ratio, asymmetric DCC, dynamic cointegration, market synchronisation measure and common components approach. The results suggest that large-sized EMU economies (termed as Group A) exhibit strong stock market integration. Moderate integration is observed for middle-sized EMU economies with old membership (termed as Group B). Small-sized economies (termed as Group C) economies seemed to be least integrated within the EMU stock market system. The findings further suggest presence of contagion effects as one moves from normal to crisis periods, which are specifically stronger for more integrated economies of Group A. We recommend institutional, regulatory and other policy reforms for Group B and especially Group C to achieve higher level of integration.