公共娱乐场所从业人员生殖健康服务的调查分析--以长沙市为例

本研究探讨计划生育服务网络为公共娱乐场所提供生殖健康服务的干预模式。分析了基线调查数据。娱乐场所从业人员是一个高流动性的年轻群体,生殖保健知识欠缺,对性病艾滋病预防的认识仍有误区;他们的性观念开放,部分从业人员涉及商业性行为,已经成为传播性病艾滋病的高风险桥梁人群。基线调查为进一步开展生殖健康服务找到了干预重点和适宜的工作方式。     

Towards sustainable tourism planning in New Zealand: Monitoring local government planning under the Resource Management Act

In the light of the increasing pace and scale of tourism activity in New Zealand, the concept of sustainable tourism has become a key ingredient in the nation's tourism strategy. This paper explores sustainable tourism planning in New Zealand at the level of local government, and in particular, focuses on the implementation of the Resource Management Act 1991 (RMA) as a mechanism for achieving sustainable tourism. Using the findings of a survey of Regional Councils and Territorial Local Authorities, the paper explores public sector planning responses to tourism impacts and sustainability concerns in New Zealand. The paper extends the earlier work of Page and Thorn (1997. Towards sustainable tourism planning in New Zealand: public sector planning responses. Journal of Sustainable Tourism 5(1): 59-77; 2002. Towards sustainable tourism development and planning in New Zealand: the public sector response revisited. Journal of Sustainable Tourism 10(3): 222-238), which identified major issues of concern at local council level with regard to tourism impacts and argued the need for a national vision for tourism to ensure that the RMA achieved its original goals. Since then, a national tourism strategy has been published and changes in legislation have further empowered local authorities to further progress the sustainability agenda. This paper examines these developments and the ensuing implications, concluding that significant progress has been made in developing tourism policies at the local level, but that a number of constraints and issues limit the development of New Zealand as a sustainable destination.     

Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach

This paper proposes a general formulation of a nonparametric frontier model introducing external environmental factors that might influence the production process but are neither inputs nor outputs under the control of the producer. A representation is proposed in terms of a probabilistic model which defines the data generating process. Our approach extends the basic ideas from Cazals et al. (2002) to the full multivariate case. We introduce the concepts of conditional efficiency measure and of conditional efficiency measure of order-m. Afterwards we suggest a practical way for computing the nonparametric estimators. Finally, a simple methodology to investigate the influence of these external factors on the production process is proposed. Numerical illustrations through some simulated examples and through a real data set on Mutual Funds show the usefulness of the approach.JEL Classification: C13, C14, D20     

“Panelizing” Repeated Cross Sections

This paper considers the implementation of a non-stationary, heterogeneous Markov model for the analysis of binary dependent variables in a time series of repeated cross-sectional (RCS) surveys. The model offers the opportunity to estimate entry and exit transition probabilities and to examine the effects of time-constant and time-varying covariates on the hazards. We show how maximum likelihood estimates of the parameters can be obtained by Fishers method-of-scoring and how to estimate both fixed and time-varying covariate effects. The model is exemplified with an analysis of the labor force participation decision of Dutch and West German women using ISSP (and other) data from 10 annual Dutch surveys conducted between 1987 and 1996 and 7 annual West German surveys conducted between 1988 and 1994. Some open problems concerning the application of the model are discussed.     

Empirical Bayes analysis of log-linear models for a generalized finite stationary Markov chain

This article presents the empirical Bayes method for estimation of the transition probabilities of a generalized finite stationary Markov chain whose ith state is a multi-way contingency table. We use a log-linear model to describe the relationship between factors in each state. The prior knowledge about the main effects and interactions will be described by a conjugate prior. Following the Bayesian paradigm, the Bayes and empirical Bayes estimators relative to various loss functions are obtained. These procedures are illustrated by a real example. Finally, asymptotic normality of the empirical Bayes estimators are established.     

Dynamic and Comparative Static Analysis of Imperfectly Competitive International Fishery

A dynamic system for change of fish stock is formulated assuming that two asymmetric rival countries harvest fish from a common fishing ground and sell it in an imperfectly competitive market. The existence of a unique stable steady state is examined based on the dynamic system. Comparative static analysis is conducted in relation to changes in national fishing management policies to explore, among other things, rent-shifting from one country to another.     

The impact of advertising content on movie revenues

We analyze the contents of print ads in the motion picture industry (e.g., number of reviews quoted in the ad, the presence of a top reviewer, size of the ad, star, director, etc.). We find that external validation (a recommendation by a top reviewer) is more important to revenues than the informative content of the ad.     

Approximate maximum likelihood estimation for stochastic differential equations with random effects in the drift and the diffusion

Consider N independent stochastic processes \((X_i(t), t\in [0,T])\), \(i=1,\ldots , N\), defined by a stochastic differential equation with random effects where the drift term depends linearly on a random vector \(\Phi _i\) and the diffusion coefficient depends on another linear random effect \(\Psi _i\). For these effects, we consider a joint parametric distribution. We propose and study two approximate likelihoods for estimating the parameters of this joint distribution based on discrete observations of the processes on a fixed time interval. Consistent and \(\sqrt{N}\)-asymptotically Gaussian estimators are obtained when both the number of individuals and the number of observations per individual tend to infinity. The estimation methods are investigated on simulated data and show good performances.     

What are guests scared of? Crime-related hotel experiences and fear of crime

ABSTRACT

This study aims to explore the typology of hotel crime and how it is related to guests’ fear of crime based on a cause-and-consequence model. A total of 873 TripAdvisor reviews were content-analyzed to develop a typology of hotel crime. High-class hotels experienced more theft, fraud, and burglary while low-class hotels encountered more prostitution and drug-related activities. Hotel guests generated a higher fear of crime when crime occurred inside guest rooms, especially in cases of burglary, theft, or fraud. Reviews mentioning crimes were perceived to be more helpful. Managerial implications and best practices of crime prevention are provided for hotel practitioners.