Identifying micro-destinations and providing statistical information: a pilot study in the Canary Islands

Municipalities and regions are often used as an object of tourism analysis at the subnational level. This occurs because administrative borders are used to implement tourism policies and collect statistical information. However, administrative boundaries may not always be suitable for studying tourism destinations at a local level. Sometimes, particularly in high-density tourism destinations, several differentiated tourism areas occupy a single municipality; tourism areas may, and often do, extend beyond municipal boundaries and tourism destinations may not occupy the whole of the municipal area. As such, a new level of analysis is often required: the micro-destination. There are few tourism concepts as imprecise as that of the destination. Therefore, the process of identifying and establishing the boundaries of a micro-destination is by no means a straightforward one. This paper presents six criteria for establishing the boundaries of this type of tourism area. Of these six, the two primary criteria used are: the concentration of tourism establishments; and tourism typologies and supply characteristics. These criteria have been applied as part of a pilot study in the Canary Islands. Statistical information for nine micro-destinations is generated using the geolocation of tourism establishments together with information obtained from both supply-side and demand-side surveys.     

Accommodating spatial correlation across choice alternatives in discrete choice models: an application to modeling residential location choice behavior

This paper presents a modeling methodology capable of accounting for spatial correlation across choice alternatives in discrete choice modeling applications. Many location choice (e.g., residential location, workplace location, destination location) modeling contexts involve choice sets where alternatives are spatially correlated with one another due to unobserved factors. In the presence of such spatial correlation, traditional discrete choice modeling methods that are often based on the assumption of independence among choice alternatives are not appropriate. In this paper, a Generalized Spatially Correlated Logit (GSCL) model that allows one to represent the degree of spatial correlation as a function of a multi-dimensional vector of attributes characterizing each pair of location choice alternatives is formulated and presented. The formulation of the GSCL model allows one to accommodate alternative correlation mechanisms rather than pre-imposing restrictive correlation assumptions on the location choice alternatives. The model is applied to the analysis of residential location choice behavior using a sample of households drawn from the 2000 San Francisco Bay Area Travel Survey (BATS) data set. Model estimation results obtained from the GSCL are compared against those obtained using the standard multinomial logit (MNL) model and the spatially correlated logit (SCL) model where only correlations across neighboring (or adjacent) alternatives are accommodated. Model findings suggest that there is significant spatial correlation across alternatives that do not share a common boundary, and that the GSCL offers the ability to more accurately capture spatial location choice behavior.     

Speed of Issuance,Lender Specialization,and the Rise of the 144A Debt Market

Using a large sample of convertible and straight debt issues in the public, 144A, and bank loan markets from 1991 to 2004, we find that the 144A market has risen largely at the expense of the nonshelf public market, the overwhelming majority of the 144A issues are subsequently registered, and straight debt issuers with the highest credit quality and transparency tend to use the shelf public market. Our findings suggest that firms’ preference for speed of issuance drives the growth of the 144A market, and banks and qualified institutional buyers have advantages over public lenders in handling credit risk and information asymmetry.     

Impatience implication of weakly Paretian orders: Existence and genericity

We study order theoretic and topological implications for impatience of weakly Paretian, representable orders on infinite utility streams. As a departure from the traditional literature, we do not make any continuity assumptions in proving the existence of impatient points. Impatience is robust in the sense that there are uncountably many impatient points. A general statement about genericity of impatience cannot be made for representable, weakly Paretian orders. This is shown by means of an example. If we assume a stronger sensitivity condition, then genericity obtains.     

Ethnic minority business and the employment of illegal immigrants

Based on detailed case histories of South Asian workers and their co-ethnic employers in the West Midlands clothing and catering industries, this paper examines the use of illegal immigrant labour in small ethnic minority firms and attempts to tease out its implications for the migrants themselves, their employers and the broader national interest. To establish a proper context, we begin with a review of the recent literature on the structural changes – principally the confluence of globalization and post-industrialism – which have generated a seemingly unstoppable flow of labour migration; and the official state policies that have forced much of it underground. Our own case histories are seen as one of countless local expressions of this clash between economic and political imperatives, a clash which effectively criminalizes employers and workers for providing a positive economic and social contribution to the wider good. In the present case, it is only by employing immigrant labour that struggling entrepreneurs can survive in hyper-competitive sectors of the economy and the stark choice is between official tolerance of law-breaking or driving many of these enterprises to the wall.     

Multi-agent modeling of economic innovation dynamics and its implications for analyzing emission impacts

In this elaboration we focus on the role of multi-agent systems as a tool for modeling economic dynamics. Hence, at the beginning the specific features of this tool are considered. Taking the example of explaining the relationship between innovations and economic growth it will be shown after that how the tool of multi-agent modeling can be used for the following purposes: (1) for explaining the occurrence of innovations, (2) for specifying the effects these innovations have on economic growth, (3) for linking emission impacts to this growth and finally (4) for exemplarily assessing political options to reduce these impacts.     

Reviews

This study investigated the interaction between proficiency in both mathematics and English on students' performance in the first-year level financial accounting course, The data were gathered on the results of first-year accounting major students at the recently established Hong Kong University of Science and Technology and analysed using regression analysis. The findings showed that a higher degree of proficiency in mathematics was associated with a higher level of performance in the financial accounting course for students who were more competent in English.     

Policies to support ethnic minority enterprise: the English experience

Using Global Entrepreneurship Monitor data for 29 countries this study investigates the (differential) impact of several factors on female and male entrepreneurship at the country level. These factors are derived from three streams of literature, including that on entrepreneurship in general, on female labour force participation and on female entrepreneurship. The paper deals with the methodological aspects of investigating (female) entrepreneurship by distinguishing between two measures of female entrepreneurship: the number of female entrepreneurs and the share of women in the total number of entrepreneurs. The first measure is used to investigate whether variables have an impact on entrepreneurship in general (influencing both the number of female and male entrepreneurs). The second measure is used to investigate whether factors have a differential relative impact on female and male entrepreneurship, i.e. whether they influence the diversity or gender composition of entrepreneurship. Findings indicate that – by and large – female and male entrepreneurial activity rates are influenced by the same factors and in the same direction. However, for some factors (e.g. unemployment, life satisfaction) we find a differential impact on female and male entrepreneurship. The present study also shows that the factors influencing the number of female entrepreneurs may be different from those influencing the share of female entrepreneurs. In this light it is important that governments are aware of what they want to accomplish (i.e. do they want to stimulate the number of female entrepreneurs or the gender composition of entrepreneurship) to be able to select appropriate policy measures.     

印度油气供需现状及2025年远景规划

印度目前70％的原油需要进口。预计2011－2012年，石油需求量将由现在的每年1．12亿万吨增至1．9亿万吨。根据印度政府2001年3月制定的《2025年印度油气发展规划》，印度的油气勘探开发部门将在加强已勘探盆地油气勘探开发的同时，扩大对未勘探盆地和油气边缘盆地的勘探；继续实施高度自由的新勘探许可证政策，到2005年使印度超过25％的沉积盆地得到勘探；投资3亿美元，用于提高大型老油田的采收率；鼓励印度国有和私有石油公司参与海外油气勘探开发，并欢迎外国石油公司以各种形式参与印度国内油田的勘探开发活动；提高炼油能力和产品服务水平，促进市场竞争，分阶段取消油品的行政定价机制，实行市场定价；大力推动天然气的消费利用，在努力提高本国天然气产量的同时，允许各石油公司开发液化天然气进口项目；开放了7个煤层气区块，推进煤层气的勘探开发。