Immigration and international inbound tourism: Empirical evidence from Australia

Immigration can potentially influence tourism flows. However, in spite of the vast number of studies on tourism demand modelling, the immigration-tourism linkage has not received much attention in the empirical literature. This paper seeks to address this gap. A dynamic demand model is developed and estimated using data from 1980 to 2008 for the 15 main markets of Australia. The explanatory variables included are income, own price, price of a substitute destination, airfare and immigration. The estimation results empirically establish the connection between immigration and inbound tourism. The short run and long-run immigration elasticities generated are 0.028 and 0.09 respectively. Additionally this paper demonstrates that omission of prices of substitutes affects the value of the own price elasticity of demand. The results have implications for future research and for stakeholders who can improve the efficiency of their planning exercises by taking into account additional information on immigration trends.     

中国最佳旅游城市标准的理论与实施

在对《中国优秀旅游城市标准体系》实施成就与经验回顾的基础上,本文首先介绍了国家旅游局制定的“优中选优”战略背景,以及其委托世界旅游组织和北京大学专家根据其拟定的“动态评估”原则而共同起草的《中国最佳旅游城市标准》的总体原则、基础标准、专项标准。文章接着对中国最佳旅游城市的创建策略、实施步骤和实施影响进行了阐述。文章有利于从理论和实践两个方面指导全国各大、中、小城市创建以城市为目的地的国际化旅游战略的实施。     

Employees intent to leave: A comparison of determinants of intent to leave versus intent to stay

The purpose of the study is to examine whether the predictors that decrease employee intention to leave will also increase employees’ intention to stay. Therefore, the objective of the study is twofold: (1) to examine the influence of perceived organizational support, perceived supervisors’ support, and organizational commitment regarding intent to leave and (2) to investigate the influence of the same variables on intent to stay. A total of 416 hospitality employees in the U.S. participated. The results suggest that perceived organizational support and organizational commitment decreased intent to leave while only perceived organizational support had a positive impact on intention to stay. Implications detail ways that hospitality organizations can focus on increasing their employees’ commitment through perceived organizational support as a critical component of turnover culture.     

A performance evaluation model for international tourist hotels in Taiwan—An application of the relational network DEA

This research utilizes relational network data envelopment analysis to construct a model to analyze the efficiency and effectiveness of international tourist hotels (ITHs) in Taiwan. The different production processes within the hotel are evaluated, as well as the relationships between efficiency, effectiveness, and overall performance. Finally, based on the results, we recommend ways of enhancing the overall performance of the hotel industry in Taiwan.     

乡村生态旅游促进新型城镇化的实证分析--以西安市长安区为例

在生态资源富集又邻近大城市的乡村地区发展乡村生态旅游,能够有效地促进新型城镇化、助推新型旅游小城镇的形成。文章在界定核心概念并进行理论机理分析的基础上,以西安市长安区为例,对其2002—2014年间乡村生态旅游与新型城镇化之间的关系进行实证检验,结果表明：二者确实存在高度的正相关关系,且前者是后者的重要原因。因此,应采取有力措施发展这些地区的乡村生态旅游：第一,进一步加大政府对乡村地区基础设施的投资,彻底实现城乡公共产品供给的均等化;第二,引导民间资金、技术、管理等有序合理、规模适度地投入乡村生态旅游业;第三,务必加强乡村生态旅游业发展过程中的环境监管等。     

复合型世界遗产及其资源基础和文化内涵--以"峨眉山-乐山大佛"与"青城山-都江堰"为例

本文首次提出“复合型世界遗产”这一概念。在统计目前复合型世界遗产情况的基础上,探讨复合型世界遗产“申报热”这一现象及其意义,并以“峨眉山一乐山大佛”与“青城山一都江堰”为例,对复合型世界遗产的资源基础和文化内涵的“复合”情况进行分析。     

出版企业人力资源存在问题及应对策略

出版企业之间的相互竞争体现在人才的竞争上,对人力资源的正确管理是出版企业的核心竞争力。当前,出版企业的人力资源问题包括人才流失严重、人才结构不合理、用人机制不完善、内部培训机制需改进。因此,文章提出要加强出版企业人力资源的建设和管理,具体策略包括积极转变传统理念、建立公平公正的招聘选拔体系、建立科学有效的绩效考核体系、建立合理的薪酬体系、重视人才培养和储备、加强企业文化的建设6个方面。     

浅谈大数据在装备保障中的应用

近两年,大数据在各行业中的应用层出不穷。在今年召开的"两会"上,有关大数据的提案如"井喷",尤其是民建中央的提案直言应将大数据发展上升为国家战略。在国家如此重视大数据应用的情况下,军事领域的应用也将成为必然趋势。在此针对大数据应用于装备保障领域提出一些个人观点,希望对大数据技术在军事上的应用提供一些参考。     

Awareness as a foundation for developing effective spatial data infrastructures

The development of an effective spatial data infrastructure (SDI) often occurs in a fragmented organizational environment requiring a high level of inter-organizational collaboration. Different organizations from various jurisdictions need to work together closely when agreeing on how they will jointly register, store, use and share data and how they will make their data available to the wider society. However, this collaboration is generally regarded as very difficult. For example people often resist data sharing across organizational boundaries due to loss of control, power and independency. Organizational issues are thus considered one of the fundamental constraints to inter-organizational sharing of spatial data.     

Maximum Likelihood Estimation of a General Unbalanced Spatial Random Effects Model: a Monte Carlo Study

Abstract

This paper discusses the maximum likelihood estimator of a general unbalanced spatial random effects model with normal disturbances, assuming that some observations are missing at random. Monte Carlo simulations show that the maximum likelihood estimator for unbalanced panels performs well and that missing observations affect mainly the root mean square error. As expected, these estimates are less efficient than those based on the unobserved balanced model, especially if the share of missing observations is large or spatial autocorrelation in the error terms is pronounced.

Estimation de vraisemblance maximale d'un modèle général d'effets aléatoires spatiaux déséquilibré: une étude Monte Carlo

RÉSUMÉ La présente communication se penche sur l'estimateur du maximum de vraisemblance d'un modèle général d'effets aléatoires spatiaux déséquilibré avec des perturbations normales, en supposant l'absence aléatoire de certaines observations. Des simulations de Monte Carlo montrent que des groupes déséquilibrés se comporte bien, et que les observations manquantes affectent principalement l'erreur de la moyenne quadratique. Comme prévu, ces évaluations sont moins efficaces que celles qui sont basées sur le modèle équilibré non observé, notamment si la part des observations manquantes est importantes, ou l'on déclare une autocorrélation spatiale dans les termes d'erreur.

Estimación de la probabilidad máxima de un modelo espacial general desequilibrado de efectos al azar: un estudio de Monte Carlo

RÉSUMÉN Este trabajo discute el estimador de probabilidad máxima de un modelo espacial general desequilibrado de efectos al azar con alteraciones normales, suponiendo que faltan algunas observaciones al azar. Las simulaciones de Monte Carlo muestran que el estimador de probabilidad máxima para los paneles desequilibrados funciona satisfactoriamente, y que las observaciones omisas afectan principalmente al error de la media cuadrática. Como se suponía, estas estimaciones son menos eficientes que las basadas en el modelo equilibrado inadvertido, especialmente si la cantidad de omisiones es grande/o la autocorrelación en los términos de error es pronunciada.