Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

Do Mothers Matter? A Comparison of Models of the Influence of Mothers' and Fathers' Educational and Occupational Status on Children's Educational Attainment

The first objective of this article is to clarify which model best captures the structure and trend of the influence of social origin on children's education. The second objective is to analyse how general conclusions on historical trends in educational reproduction change if we add mother's status background to the model. Six contrasting hypotheses are derived fromthe body of literature dealing with models on families' socioeconomic status. All hypotheses are translated into empirical models and their explained variance is compared. A pooled data set is used that contains data from the Netherlands, West Germany, and the USA. The Modified Dominance Model, that distinguishes the influence of the highest from thelowest status parent, has the best model fit. Regarding the second objective we see that adding the mother's influence to that of the father's does not change general conclusions on trends in educational reproduction. Over time the influence of both parents decreases continuously. However, the influence of the mother's education and occupational status on children's educational attainment is substantive.     

神府—东胜矿区沙漠化趋势预测与防治措施

神府－东胜矿区在特定的自然地质环境和人为因素的影响下，土地沙漠化呈不断扩展的演化趋势。矿区大规模的开发建设，更加速了沙漠化进展。本文利用典型地段的沙漠化发展速率，依据矿区总体设计规模，对矿区自然沙漠化趋势和开矿新增沙漠化土地面积进行了定量预测，并提出了相应的防治措施。     

美国农业补贴政策的演变趋势分析

从1933年第一部系统的农业法开始实行以来,美国先后出台了数十个有关农业补贴的法律,对农业进行了长期高强度的补贴,形成了有特色的补贴体系.     

未来三十年我国及省际人口变动趋势

分析了我国人口的变动特点,并对未来三十年我国及省际人口的变动趋势作了预测,论述了我国未来人口的空间分布变动特点。     

Prizes for basic research: Human capital,economic might and the shadow of history

We study the distribution of basic scientific research across countries and time, and explain the process that resulted in the United States becoming the undisputed leader in basic research. Our study is based on the records of scientific awards, and on the data of global economic trends. We investigate the degree to which scale/threshold effects account for the number of prizes won. We constructed a stylized model, predicting a non-linear relationship with lagged relative GDP as an important explanatory variable of a country’s share of prizes. Our empirical research findings find support for these predictions and the presence of a “winner-takes-all” effect.      

The Evidence on Product-Market Diversifying Acquisitions and Joint Ventures by U.S. Banks

We examine the acquisition and joint venture strategies of U.S. banks from 1980 to 1998 to diversify into non-banking sectors. We find that the market responds favorably to both types of expansions, with the gains being shared between acquiring banks and their targets and venture banks and their non-bank partners, respectively. Acquisitions expose acquiring banks to significant increases in nonsystematic, market, and total risk, while joint ventures result in significant decreases in the nonsystematic and total risk measures for participating banks. Our results suggest that product-market expansions, in general, provide U.S. banks with value-enhancing opportunities, and that joint ventures may improve both the return and risk characteristics of the partner banks.     

Current issues and research trends on open-source software communities

Open source software (OSS) projects represent a new paradigm of software creation and development based on hundreds or even thousands of developers and users organised in the form of a virtual community. The success of an OSS project is closely linked to the successful organisation and development of the virtual community of support group. This paper reviews different fields and research topics related to the OSS communities such as collective intelligence, the structure of OSS communities, their success, communities as virtual organisations, motivation, shared knowledge, innovation and learning. The main challenges, results obtained, and the knowledge areas are detailed for each topic.     

Trends and Future Directions in Online Marketing Research

Over the last decade, the increased adoption of the Internet in public life as well as in developing businesses has led to a phenomenal rise in academic research on online marketing. This article is set to extensively review scholarly articles appearing from 2000 to 2014 on the topic from 10 top-tier academic journals to understand the research trends in the domain. A literature review has reported eight major subjective categories with an analysis of online marketing effectiveness framework. This review found three most significant subject categories: (1) online marketing issues; (2) Internet usage, perception, and attitude; and (3) online shopping and e-commerce. Additionally, some new online marketing research topics such as word-of-mouth, user-generated content, and social network are also highlighted. Finally, a selection of research topics that got the maximum attention of researchers is presented along with discussion of the future research directions in the online marketing space.     

Modelling interactions among the housing market and key US sectors

This study evaluates the dynamic interactions among the housing market and ten key US sectors including: consumer discretionary, consumer staples, energy, financials, industrial, technology, health care, materials, utility and telecommunications. Long-run results indicate that the housing market is integrated with each of the ten sector and that the degree of convergence has increased over time and especially after the onset of the most recent housing crisis. Moreover, the housing market contributes most heavily to the common trends indicating that the housing market is the ‘leader’ market that drives each sector towards the long-run equilibrium relationships. Short-run analyses indicate causal linkages emanating from the housing market to each sector with reciprocal feedback. Finally, impulse response function analysis reveal that shocks from each sector affect the housing market but that shocks from the housing market have a (comparatively) more profound and persistent impact on each sector.