Taming Airbnb: Toward guiding principles for local regulation of urban vacation rentals based on empirical results from five US cities

Urban vacation rentals, a phenomenon that has grown explosively very recently, bring benefits to cities but also impose quality of life and housing market impacts on neighborhoods. As a consequence, cities are beginning to grapple with creating regulatory regimes for managing this new land use and its encroachments on residential areas. This article uses webscraped data from Airbnb, the industry leader, to analyze the geographical patterns and concentrations of these impacts in five US cities: Austin, Boston, Chicago, San Francisco, and Washington, DC. It uses the findings to put forth four general principles for cities seeking to manage impacts imposed by Airbnb and its competitors. These are that webscraping is an imperfect but relatively cheap and effective means of gathering locally specific data; that “spiky” usage patterns dictate a microgeographic approach to regulation; that meaningful regulation necessitates dedicated enforcement, likely paid for with permit fees; and that it is desirable to distinguish between “mom-and-pop” hosts and those operating at a commercial scale.     

Making sustainable sourcing decisions: practical evidence from the automotive industry

Achieving environmental and sustainable performance within an organisation’s supply chain and manufacturing operations will be feasible if upstream supply partners have the same commitments in performing their operations in a sustainable manner. Given the debate above, we propose a comprehensive framework to address the sustainable supplier selection and order allocation (SSS&OA) problem. The framework developed is practical, that starts by using an audition check-list specific for each sustainability dimension (environmental, economic and social), from which the weighted values of its comprised criteria are obtained. The weighted scores of the selected sustainable suppliers are utilised by a proposed bi-objective order allocation model in order to make sourcing decisions. The strength of the proposed framework is its practical applicability to provide a solution for SSS&OA problems which is validated through a real-world application. Finally, research findings, theoretical and managerial insights and also directions for additional research are presented.     

国家重点科技资源支撑区域创新经济产出的空间差异研究

根据2011-2014年科技部《国家重点科技基础条件资源调查表》以及国家统计年鉴数据,首先,使用赫芬达尔指数定量描述了利用国家重点科技资源进行创新活动的非均衡性。其次,使用网络DEA方法,实证分析了2012-2014年中国(内地)各省份国家重点科技资源对区域创新发展的支撑作用。研究表明,国家重点科技资源对区域创新发展的支撑作用不仅取决于资源创新生产阶段,而且受制于重点科技资源支持下的区域创新发展阶段。重点科技资源的支撑作用还有较大提升空间,70%的省份创新成果转化能力有待提高,且大部分省份的国家重点科技资源未实现优化配置。此外,全国及东部、中部和西部国家重点科技资源对区域创新发展的支撑效率不存在绝对收敛趋势。     

Geographic distribution of suicide and railway suicide in Belgium, 2008–2013: a principal component analysis

This study investigated the geographic distribution of suicide and railway suicide in Belgium over 2008--2013 on local (i.e., district or arrondissement) level. There were differences in the regional distribution of suicide and railway suicides in Belgium over the study period. Principal component analysis identified three groups of correlations among population variables and socio-economic indicators, such as population density, unemployment, and age group distribution, on two components that helped explaining the variance of railway suicide at a local (arrondissement) level. This information is of particular importance to prevent suicides in high-risk areas on the Belgian railway network.     

四川省农村区域经济差异分析

由于国家政策和地理位置等方面原因,我国各省区的农村区域经济发展存在较大差异,严重影响了全面小康社会的建设步伐。文章以四川省21个地级农村区域经济差异为研究对象,通过文献分析和建立数学模型的研究方法,对四川省农村区域经济差异的显著性进行分析,结果表明:(1)四川省农村区域经济存在一定差异,其中经济发展较快的城市为成都市、绵阳市。(2)对四川省区域经济发展测算得出:2010~2014年期间,区域三内部差异的波动幅度较大,范围在0.14~0.01之间,说明经济发展潜力较大。区域二内部差异呈"降低—增高—降低"的趋势,经济发展潜力一般;区域一由于地理位置和气候资源等因素限制,经济发展较慢。该研究为四川省农村区域经济的均衡发展提供理论参考。     

Experts,firms, consumers or even hard data? Forecasting employment in Germany

In this article, we forecast employment growth for Germany with data for the period from November 2008 to November 2015. Hutter and Weber (2015) introduced an innovative unemployment indicator and evaluated the performance of several leading indicators, including the Ifo Employment Barometer (IEB), to predict unemployment changes. Since the IEB focuses on employment growth instead of unemployment developments, we mirror the study by Hutter and Weber (2015). It turns out that in our case, and in contrast to their article, the IEB outperforms their newly developed indicator. Additionally, consumers’ unemployment expectations and hard data such as new orders exhibit a high forecasting accuracy.     

Segmenting Green Consumers in the United States: Implications for Green Marketing

The purpose of the current study was to segment U.S. consumers into four distinct clusters based on their beliefs and motives regarding pro-environmental consumer behavior. Using a nationally representative sample of U.S. adults from Experian Simmons (N = 22,348), this study revealed that: (a) there are four clusters of consumers in the United States with a unique set of beliefs and motives regarding consumer environmentalism; (b) the clusters have distinct demographic and media usage profiles; and (c) the groups have varying responses to the industry's initiatives to protect the environment. Implications of the research are discussed in light of developing message and media strategies for green marketing.     

Choice-Based Conjoint Analysis of the Local Coupon Preferences of Millennials

This article explores the local coupon preferences of the 18–29-year old market. Choice-based conjoint analysis was used to determine Millennials’ local coupon needs and preferences. From this data, three need-based segments were identified and discussed. The findings indicate that while overall, millennials are resistant to receiving coupons for local businesses through their cell phones, there is one segment that is receptive to this method of coupon delivery method.     

ALLOWING FOR JUMP MEASUREMENTS IN VOLATILITY: A HIGH‐FREQUENCY FINANCIAL DATA ANALYSIS OF INDIVIDUAL STOCKS

Following recent advances in the non‐parametric realized volatility approach, we separately measure the discontinuous jump part of the quadratic variation process for individual stocks and incorporate it into heterogeneous autoregressive volatility models. We analyse the distributional properties of the jump measures vis‐à‐vis the corresponding realized volatility ones, and compare them to those of aggregate US market index series. We also demonstrate important gains in the forecasting accuracy of high‐frequency volatility models.     

加强校企合作 完善实训基地建设——甘肃钢铁职业技术学院实训基地现状的调查与思考

本文通过对学院实训基地的调研,总结目前甘肃钢铁职业技术学院校企合作的现状、存在的问题,进而分析所应该采取的措施。