中国旅游地理研究：成果应用转化和研究技术革新

旅游的产业属性决定了旅游地理研究的实践性,在服务国家战略和产业实践需求的过程中,中国旅游地理学科呈现出研究领域、方法和应用的新特征。本文围绕旅游规划、旅游资源、旅游大数据和旅游实验方法等进行总结与展望,认为：（1）旅游规划是透视旅游地理研究发展的重要视角,旅游规划的知识域主要包括旅游开发战略与对策、旅游业与旅游企业、乡村旅游与乡村振兴等12个方面;（2）新时代文化和旅游资源普查面临文旅资源保护和整合利用的重大现实需求,为旅游地理研究带来了文旅资源的内涵与分类评价、普查信息集成与应用、普查技术与组织方式等新命题;（3）大数据背景下要求旅游地理探寻新科学问题,重点要关注大数据旅游统计测量模型和指标规则的规范,数据伦理与信息茧房,大数据旅游现象的地理效应和相关空间格局等研究;（4）实验研究方法在认识论层面从描述走向解释预测,在方法论层面从调查走向直接测量,为认识和理解旅游情境下人地关系的核心科学问题提供了“科学化”的研究路径。因此,面对新时代战略要求和旅游业发展趋势,旅游地理学应加强产业实践、研究方法和学科交叉研究,提升学科服务国家战略和社会经济发展的支撑能力。     

What has New Zealand gained from The FTA with China?: Two counterfactual analyses†

We investigate the effects of the 2008 New Zealand (NZ)–China free trade agreement (FTA) on exports from NZ to China, and real GDP per capita in NZ using the synthetic control method to estimate the counterfactuals. NZ exports to China were more than 200% higher in 2014 than what they would have had the FTA never been signed. NZ's food and live animals exports to China were more than 180% higher in 2014 than the counterfactual. Our counterfactuals indicate a small but negative effect of the FTA on NZ's real GDP per capita between 2009 and 2012.     

Stochastic volatility: A tale of co-jumps,non-normality,GMM and high frequency data

In this article we introduce a linear–quadratic volatility model with co-jumps and show how to calibrate this model to a rich dataset. We apply GMM and more specifically match the moments of realized power and multi-power variations, which are obtained from high-frequency stock market data. Our model incorporates two salient features: the setting of simultaneous jumps in both return process and volatility process and the superposition structure of a continuous linear–quadratic volatility process and a Lévy-driven Ornstein–Uhlenbeck process. We compare the quality of fit for several models, and show that our model outperforms the conventional jump diffusion or Bates model. Besides that, we find evidence that the jump sizes are not normally distributed and that our model performs best when the distribution of jump-sizes is only specified through certain (co-) moment conditions. Monte Carlo experiments are employed to confirm this.     

Deal characteristics and M&A performance: How do hospitality firms fare?

The global hospitality industry has experienced significant consolidation in the past several decades. While evidence in the general business literature suggests that the target firm shareholders gain instead of the acquiring firm shareholders, some studies in the hospitality industry have suggested that mergers and acquisitions (M&As) are also beneficial to acquiring firms. Using a comparative study design and a comprehensive sample over 41 years, we empirically examine whether M&As create more value in the hospitality industry than in other industries and whether certain deal characteristics may explain the potential performance differential. Overall, we find that M&As in the hospitality industry outperform M&As in non-hospitality sectors. When examining deal attributes, we find that relative size of target, cash method of payment, and an unlisted target are characteristics positively related to merger performance and help explain some of the performance differential. We contribute theoretically and empirically to the literature by demonstrating that industry and deal effects play an important role in M&A performance.     

Factor pricing of cryptocurrencies

In this paper, we study the cryptocurrency pricing factors. We review the literatures which state that the cryptocurrency market is weakly efficient. We use the Fama–MacBeth method to investigate the pricing factors. The classical equity-based risk factors including size, momentum, and value to growth from the Fama–French three factor model are studied. We use crypto-unique coin-to-token as a proxy for value-to-growth. For volatility risk factor category, we investigate realized volatility, skewness and jump. We also investigate liquidity factors including bid–ask, volume growth and Roll’s measure. The macro factors are found not to be an explanatory factor. The attention factor works sometimes. The factor model constructed by the significant factors explain most of the excess return of cryptocurrencies.     

关于复数运算在高次方程中的运用

随着office2010版开发,复数函数的运算的完善为高次方程的完整解提供了技术上的有力保障。     

国库最佳库底现金测算方法研究

随着国库集中收付管理制度改革的不断深入，我国国库库存现金余额呈现出快速增长的趋势。通过对确定最佳库底现金的主要模型进行介绍，以国家金库重庆市分库为对象进行了实证分析。以期为实际工作和相关研究提供一定参考。     

Towards a fairer manager performance measure: a DEA application in the retail industry

Abstract

Retailers need to determine the performance of their individual stores and, beyond the stores, the managers in charge of running them. The aim of this paper is to develop performance standards that can be applied to fairly distribute rewards to managers regarding their performances by taking into account store neighbourhood characteristics. In order to propose a fairer measure of store performance, the authors introduce and explore the concepts of organizational justice and store efficiency. They use real data from a French supermarket chain and a geomarketing approach. The two-step Data Envelopment Analysis (DEA) model results are compared with a retailer’s ranking. The retailer tends to favour points of sale having a more important sales area, with more employees and operating in a more densely populated area with a higher buying power. The ranking stemming from the DEA model links store performance to other geo-demographic variables.     

外在激励与体育课教学

在体育课教学中常用的激励方法有:语言激励、情境激励和目标激励等。在使用外在激励时要根据学生年龄、个性和个体差异特点选择激励源;要根据教材选择激励方法,并合理使用多种激励方法。     

优化课程教学体系培养学生综合能力

我们以抓主线、抓本质、抓联系、抓应用为教改指导思想,结合学生专业特点,优化机械工程材料课程教学体系,运用研讨式、启发渗透式等教学方法,突出知识应用,注重对学生综合能力的培养。