AN ANALYSIS OF THE MOST INFLUENTIAL ARTICLES PUBLISHED IN TOURISM JOURNALS FROM 2000 TO 2007: A GOOGLE SCHOLAR APPROACH

This research note reports a study that analyzed the 100 most influential articles, which is operationalized as the most cited publications published in tourism journals from 2000 to 2007. A Google Scholar‐based software system was developed in Java to retrieve the citation information. The empirical findings show that 10.16% of the citations were from Institute for Scientific Information‐listed (ISI) journals, and that 71.64% of them were from neither ISI nor tourism journals. The most popular topics covered by these articles were psychology and tourist behavior, followed by destination image and marketing. This article contributes to the literature by providing an alternative means of assessing the impact of research into tourism.     

新理性主义,抑或城市发展辩证法

仇保兴博士对中国城市规划面临诸多困惑,提出了新理性主义方法论。受其启发,作者结合30年来中国城市规划的实践和长期思考,对方法论重新进行了概括,提出城市发展辩证法,并对之作了初步阐发。并围绕中国特色城市规划的矛盾特殊性,提出了先进性、综合性、不平衡性和弹性等四个理念。最后,以获全国优秀规划一等奖的1986年版深圳特区总体规划3条实例作为实证。     

面向Google搜索引擎的优化技术

针对Google搜索引擎,提出了网站优化策略。从导航优化、链接优化和页面优化等角度进行了分析。本文有益于网站的初级优化。     

What are the top five journals in economics? A new meta-ranking

We construct a meta-ranking of 277 economics journals based on 22 different rankings. The ranking incorporates bibliometric indicators from four different databases (Web of Science, Scopus, Google Scholar, and RePEc). We account for the different scaling of the bibliometric indicators by standardizing each ranking score. We run a principal component analysis to assign weights to each ranking. In our meta-ranking, the top five journals are given by: Quarterly Journal of Economics, Journal of Financial Economics, Journal of Economic Literature (JEL), Journal of Finance, and Econometrica. Additionally, leaving out the JEL as a survey journal and the finance journals in our top 10 list we confirm the perceived top five journals in the economics profession.     

Big Data: An Institutional Perspective on Opportunities and Challenges

The data revolution is already reshaping how knowledge is produced, business conducted, humanitarian assistance handled, public officials elected, and governance enacted. Economists rely on data to describe, interpret, and forecast economic activity. Despite the rich tradition of using large datasets, institutional economics have shied away from big data. This article describes, reviews, and reflects on big data, with a particular focus on economic development. It illustrates the vast opportunities and challenges for big data as an important tool for the benefit of the public. It suggests that big data and data analytics, if used properly, can provide real-time actionable information that can be used to identify problems and needs, offer services, and provide feedback on the effectiveness of policy action.     

DEM纹理的制作与实现在土地开发整理项目中的应用——以湖南省嘉禾县为例

在土地开发整理项目的规划设计中,利用PhotoShop软件将Google-Earth软件提取的项目区遥感影像图和土地开发整理项目中项目区土地利用现状图进行叠加处理,制作出D)EM纹理,并将其应用到湖南省嘉禾县土地开发整理项目(金塘片)中。结果表明叠加D)EM纹理后的项目区可显示更多更细的地物特征,使其更为直观。     

When culture meets digital platforms: value creation and stakeholders’ alignment in big data use

Research on big data has highlighted that a crucial element to create value from data is the capability of aligning different stakeholders’ interests. However, it has not yet been investigated empirically how this process of alignment can be realized. We conduct a multiple case study on the two leading platforms involved in the online dissemination of cultural heritage – Europeana and Google Arts & Culture. Our findings reveal that a platform overtakes a rival one when it turns on multiple drivers of value creation in such a way that the drivers contribute to realigning the interests expressed by the stakeholders whose strategic objectives and beliefs were formerly divergent – or simply unrelated – to each other. This capability of realigning different stakeholders’ interests is independent of the level of industry-specific knowledge that the platform orchestrator has. The dynamics we document imply that Google has assumed a system integration role in the cultural ecosystem. This generates new trade-offs for museums in the way they generate value for the tourism industry. The paper enriches our understanding of what strategies digital platforms adopt to create value in big data contexts and provides a base to continue the investigation on other ecosystems driven by big data.     

Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model

This paper investigates the benefits of internet search data in the form of Google Trends for nowcasting real U.S. GDP growth in real time through the lens of mixed frequency Bayesian Structural Time Series (BSTS) models. We augment and enhance both model and methodology to make these better amenable to nowcasting with large number of potential covariates. Specifically, we allow shrinking state variances towards zero to avoid overfitting, extend the SSVS (spike and slab variable selection) prior to the more flexible normal-inverse-gamma prior which stays agnostic about the underlying model size, as well as adapt the horseshoe prior to the BSTS. The application to nowcasting GDP growth as well as a simulation study demonstrate that the horseshoe prior BSTS improves markedly upon the SSVS and the original BSTS model with the largest gains in dense data-generating-processes. Our application also shows that a large dimensional set of search terms is able to improve nowcasts early in a specific quarter before other macroeconomic data become available. Search terms with high inclusion probability have good economic interpretation, reflecting leading signals of economic anxiety and wealth effects.     

The effects of formal and informal CEO power on debt policy persistence

We explore the general trends of debt policy persistence and how formal and informal CEO power may influence the persistence based on four dimensions of debt policy. Using a sample of Chinese listed firms during 2008–2018, we clearly identify, for the first time, that the general trends of debt policy persistence include an initial downward trend phase (of 4–5 years) and a subsequent stable trend phase. We divide CEO power into formal and informal CEO power and find that CEOs’ formal power can help to increase debt policy persistence, while the role of informal power is the opposite, providing evidence that CEO power has a double-edged effect on debt policy persistence. Further, our results show that the most important dimensions through which formal and informal CEO power have their respective effects are ownership power and financial expert power. Lastly, it is CEOs’ formal power rather than their informal power that plays a dominant role in promoting the persistence of debt policy.