区域生态系统服务功能价值评估研究——以雅安市为例

生态系统服务功能价值评估是生态补偿的基础工作之一.在比较分析不同生态系统价值评估方法的基础上,借鉴Constanza区域生态价值评估法,引入社会阶段发展系数,重构区域生态系统服务价值评估模型,并以雅安市为例对模型进行了验证.结果表明:该评估模型不仅为生态系统服务价值的评估提供一种相对简单、便捷的动态评价方法,而且能够通过社会阶段发展系数去反映不同社会经济状况下人们对生态系统服务的动态意愿支付结果,对政府制定相应的补偿标准,进一步构建生态补偿机制提供参考.     

杭州市土地利用结构与效率研究

土地是一种不可再生资源,杭州市人多地少,经济发达,土地的供需矛盾突出。目前,杭州城市土地最突出的问题是供应紧张与工业利用效率低下并存。比较杭州与国内外主要城市的土地利用状况,从宏观上分析杭州城市土地利用结构;从微观层面分析城市工业用地效率;提出了优化城市土地利用结构和提高土地利用效率的对策建议。     

Market analysis and transportation procurement for food aid in Ethiopia

Empirical research characterizing transportation markets in developing countries is scarce. By analyzing contracts between the World Food Programme and private carriers, we identify the determinants of transportation tariffs in Ethiopia and quantify their relative importance. The econometric models devised from our unique dataset provide insights for shippers to improve procurement processes, for carriers to develop competitive business models and for government authorities to define effective investments and policies. Results indicate that the number of carriers on a given lane significantly reduces transportation tariffs and that policies stimulating competition may be as important as road infrastructure investments in Ethiopia's development strategy.     

Site and situation strategy in tourism planning: A Mexican case study

Mexico has experienced all the effects, good and ill, of a large and expanding tourist trade. Tourism's negative consequences--economic dependency, crime, cultural erosion--have manifested themselves in tourist ghettos along Mexico's northern border, on the Mexican Riviera, and in the capital. This study is an assesment of contemporary Mexican tourism planning as it relates to these problems, and further as it seeks to make tourism a stimulus to economically depressed areas of the nation. A case study approach is utilized to identify the strategy of site and situation selection for the new programmed resort complex at Cancun on the Caribbean coast of the Yucatan peninsula. It is concluded that Cancun embodies, at least for Mexico, a radical departure in tourism development. The resort is situated to attract a large foreign clientele and to create the greatest possible positive economic and social impact on a resident Mexican population that has suffered chronic underdevelopment.     

Do single‐stock circuit breakers provide a safety net for Canadian investors?

This study looks at the market impact of recent regulatory changes in Canada that provide for trading halts on individual stocks that experience large upside or downside movements. The focus is on all stocks traded on the Toronto Stock Exchange since the inception of the single‐stock circuit breaker rule (SSCB) in February 2012, to replace the short‐sale uptick rule. The results support pricing efficiency: material information that caused the circuit breaker is incorporated in stock prices on the day of the halt (neither overreaction nor underreaction), with no decline in market liquidity. Using trade‐by‐trade data constructed on five‐minute trading intervals, we refine the daily results, and show that shocks in realized volatility are focused in the 10‐minute trading interval surrounding the halts. While circuit breakers provide a limited safety net for investors when their stocks are subject to severe volatility, they do not allow for a quick turnaround for stocks experiencing severe price decline events.     

MEASURING DISTRIBUTION MODEL RISK

We propose to interpret distribution model risk as sensitivity of expected loss to changes in the risk factor distribution, and to measure the distribution model risk of a portfolio by the maximum expected loss over a set of plausible distributions defined in terms of some divergence from an estimated distribution. The divergence may be relative entropy or another f‐divergence or Bregman distance. We use the theory of minimizing convex integral functionals under moment constraints to give formulae for the calculation of distribution model risk and to explicitly determine the worst case distribution from the set of plausible distributions. We also evaluate related risk measures describing divergence preferences.     

Reverse knowledge transfer from subsidiaries to multinational companies: Focusing on factors affecting market knowledge transfer

Despite increasing research on reverse knowledge transfer (RKT) from subsidiaries to headquarters (HQs), there is no academic consensus on the primary determinants influencing RKT. By incorporating four different facets (i.e., absorption, sharing, implanting, and application of market knowledge) of the phenomenon, we draw new insights into RKT. Through empirically testing the phenomenon in the Korean context, we reveal that market knowledge absorption by subsidiaries is a critical component that influences the knowledge integration mechanisms (KIMs) within MNC networks. Furthermore, KIMs within MNC networks are primary keys for absorptive capacity (AC) of HQs and knowledge relevance between HQs and subsidiaries. Our results extend our understanding of RKT, while also offering useful implications for MNCs that intend to establish subsidiaries in foreign markets. Copyright © 2016 ASAC. Published by John Wiley & Sons, Ltd.     

Writing out praise: Air Canada employees and the 1968 CEO change

In 1968, the Air Canada CEO was an individual from outside the airline industry, when previously all CEOs had been former airline pilots for the organization. In investigating why, the union writings of Air Canada, a large Crown corporation, make no reference to this 1968 CEO change. I examine how the values, beliefs, and ideas of employees affect the development of an organization's written histories. I apply actor network theory, sensemaking, critical sensemaking, and theories of “writing out” to expose and develop the concept of the noncorporeal actant as a critical influence within a network and in the writing of histories. Copyright © 2016 ASAC. Published by John Wiley & Sons, Ltd.     

The Effect of Humanizing Robo‐Advisors on Investor Judgments*

We examine the effect of humanizing (naming) robo‐advisors on investor judgments, which has taken on increased importance as robo‐advisors have become increasingly common and there is currently little SEC regulation governing key aspects of their use. In our first experiment, we predict and find that investors are more likely to rely on the investment recommendation of an unnamed robo‐advisor, whereas they are more likely to rely on the investment recommendation of a named human advisor. Theory suggests one reason that naming a robo‐advisor may have drawbacks pertains to the complexity of the task the robo‐advisor performs. We explore the importance of task complexity in our second experiment. We predict and find that investors are less likely to rely on a named robo‐advisor when the advisor is perceived to be performing a relatively complex task, consistent with our first experiment, and more likely to rely on a named robo‐advisor when the advisor is perceived to be performing a relatively simple task, consistent with prior research on human‐computer interactions. Our findings contribute to the literature examining how technology influences the acquisition and use of financial information and the general literature on human‐computer interactions. Our study also addresses a call by the SEC to learn more about robo‐advisors. Lastly, our study has practical implications for wealth management firms by demonstrating the potentially negative effects of making robo‐advisors more humanlike in an attempt to engage and attract users.