Developing sustainable rural tourism evaluation indicators

This study is to develop indicators that measure sustainable rural tourism development within a sustainable framework. It was conducted via a Delphi technique and the analytical hierarchy process method. After three rounds of discussions, the panel members reached consensus on a set of 33 indicators with four dimensions. This set of community‐based rural tourism development indicators can serve as a starting point for devising a set of indicators at the local and regional level in order to be useful rural tourism sector manager and administrators. The selected indicators are measureable, demand driven and practical to show the real performance in rural destination. Copyright © 2010 John Wiley & Sons, Ltd.     

Policies to Reduce Rent Seeking in Controlled Markets

Abstract

We analyze the effects of various policies to reduce rent seeking in the controlled market in which buyers have heterogeneous valuation regarding the coveted good. The good is allocated according to the buyer-specific signal (‘test score’), which is determined by the quantity of wasteful ‘rent seeking’ exerted by the buyer. We consider three common forms of market control: minimum qualification score, quota, and price ceiling. The potential buyers with higher valuations are more likely to receive the good in equilibrium, while they exert more rent-seeking efforts. Marginally relaxing market control does not necessarily decrease the aggregated amount of rent-seeking activities, and the effectiveness of policy measures usually depends on the current degree of competitiveness in the market.     

A Latent Class Nested Logit Model for Rank-Ordered Data with Application to Cork Oak Reforestation

We analyze stated ranking data collected from recreational visitors to the Alcornocales Natural Park (ANP) in Spain. The ANP is a large protected area which comprises mainly cork oak woodlands. The visitors ranked cork oak reforestation programs delivering different sets of environmental (reforestation technique, biodiversity, forest surface) and social (jobs and recreation sites created) outcomes. We specify a novel latent class nested logit model for rank-ordered data to estimate the distribution of willingness-to-pay for each outcome. Our modeling approach jointly exploits recent advances in discrete choice methods. The results suggest that prioritizing biodiversity would increase certainty over public support for a reforestation program. In addition, a substantial fraction of the visitor population are willing to pay more for the social outcomes than the environmental outcomes, whereas the existing reforestation subsidies are often justified by the environmental outcomes alone.     

Governance Role of Auditors and Legal Environment: Evidence from Corporate Disclosure Transparency

In a sample of firms originating from 20 countries, we examine whether and how auditor size (our proxy for audit quality) associates with corporate disclosure transparency. While prior studies examine the relation between auditor size and several aspects of financial reporting quality (e.g. discretionary accruals, restatements, etc.), there is limited evidence on how auditor size relates to disclosure transparency. There is also mixed evidence on how auditor size relates to reporting quality in different legal environments. We find that auditor size is positively associated with disclosure transparency around the world and that the association is stronger in code law regimes than in common law regimes. The latter finding supports the view that audits play a greater governing role in weaker legal environments.     

Application of Sample Selection Model to Double-Bounded Dichotomous Choice Contingent Valuation Studies

Modeling households' behavior with the data from a contingentvaluation (CV) survey is often complicated by samplenon-response, which can cause non-response bias and sampleselection bias, leading to inconsistent parameter estimates and adistorted mean willingness-to-pay estimate. This paper reportsthe results of empirical tests for both biases using householdsurvey data in which the double-bounded dichotomous choice CVquestion involved the benefit of a tap water quality improvementpolicy in Korea. No non-response bias, but sample selection bias,is detected in the sample. To correct for sample selection bias,a sample selection model is employed. The authors also discusshow failure to correct for bias may distort aggregate benefitestimates.     

Website evaluation criteria among US college student consumers with different shopping orientations and Internet channel usage

The purpose of this study was to compare the website evaluation criteria among college student consumers in the US with different shopping orientations and Internet channel usage (i.e. online information searchers, online purchasers). The sample for this research was 414 college students, non‐married and aged 18–22 who have experience in visiting websites selling apparel products. Five apparel website evaluation criteria were identified by factor analysis (i.e. product information, customer service, privacy/security, navigation, auditory experience/comparison shopping). Based on shopping orientation factors, cluster analysis revealed three shopping orientation clusters (i.e. Hesitant In‐home Shoppers, Practical Clothing Shoppers, Involved Clothing Shoppers). Factorial manova showed that website evaluation criteria were significantly different among college student consumers with different shopping orientations and between online information searchers and online purchasers. Implications and limitations of the study are discussed.     

“Engineering Economics Jeopardy!” Mobile App for University Students

This article presents the “Engineering Economics Jeopardy!” mobile app development process and college students’ satisfaction assessment of the developed app. The app includes a general tools E-book, calculator, reference tables, conceptual questions, and calculation problems in an engaging fashion. The E-book is a summary of the key concepts of engineering economics. The calculator provides functions to solve basic engineering economics problems with formulas. The tables allow the users to compute discrete compound interest factors. Through this Jeopardy! game, users can compete with two virtual opponents that have artificial intelligence to answer conceptual questions and calculation problems. Different sets of problems range from the simple questions on the time value of money to more complex concepts, such as sensitivity analysis, Monte Carlo simulation, and supply–demand equilibrium. This app is intended to give students more opportunity to learn and practice concepts of engineering economics whenever and wherever they want using their mobile devices. Accomplishments of this work include the following:

• “Engineering Economics Jeopardy!” mobile app has been developed and distributed.

• Five thousand people have downloaded the app so far.

• The effectiveness of the developed app has been researched with 116 college students who were enrolled in engineering economics courses across two semesters.

     

Cloud Computing: Architectural and Policy Implications

Cloud computing has emerged as perhaps the hottest development in information technology. Despite all of the attention it has garnered, existing analyses focus almost exclusively on the issues surrounding data privacy without exploring cloud computing’s architectural and policy implications. This Article offers an initial exploratory analysis in that direction. It begins by introducing key cloud computing concepts, such as service oriented architectures, thin clients, and virtualization, and discusses the leading delivery models and deployment strategies being pursued by cloud computing providers. It then analyzes the economics of cloud computing in terms of reducing costs, transforming capital expenditures into operating expenditures, aggregating demand, increasing reliability, and reducing latency. It then discusses the architectural implications of cloud computing for access networking (focusing on bandwidth, reliability, quality of service, and ubiquity) and data center interconnectivity (focusing on bandwidth, reliability, security and privacy, control over routing policies, standardization, and metering and payment). It closes by offering a few observations on the impact of cloud computing on the industry structure for data centers, server-related technologies, router-based technologies, and access networks, as well as its implications for regulation.