Domestic monopoly and redundant tariff protection

This paper examines the redundancy of tariff protection when there is a single domestic monopolist producer. The cases where the monopolist exports in free trade and where he confronts import competition are distinguished and a general rule characterizing water-in-the-tariff in protected equilibrium is derived.     

Determinants of university student registration by department

This study attempts to explain the observed distribution of students among university departments. A general model describing the student's initial choice of department is constructed. The decisions made by a sample of student's were then explained by multiple regression analysis, where students' socio-economic characteristics are the explanatory variables. Although the statistical results are weak, some conclusions regarding educational planning can be drawn.     

Constraints facing tourism entrepreneurs in South Africa: a study in the Gauteng and Mpumalanga provinces,South Africa

The current study is an investigation into tourism entrepreneurship of small, medium and micro enterprises in Gauteng and Mpumalanga. Through Principal Factor Analysis, the paper identifies a three-factor instrument that could be used as a diagnostic tool to investigate how government policies and support, the tourism industry's products and services, and perceptions about South Africa could advance or constrain the development of small, medium and micro tourism in South Africa. Such a tool can be used to identify problematic areas in order to take remedial action to manage sustainable tourism in South Africa and prevent the leakage of profits.     

Price Impact Asymmetry of Block Trades: An Institutional Trading Explanation

This article develops a theoretical model to explain the permanentprice impact asymmetry between buyer- and seller-initiated blocktrades (the permanent price impact of buys is larger than thatof sells). The model shows how the trading strategy of institutionalportfolio managers creates a difference between the informationcontent of buys and sells. The main implication of the modelis that the history of price performance influences the asymmetry:the longer the run-up in a stock's price, the less the asymmetry.The intensity of institutional trading and the frequency ofinformation events affect the asymmetry differently dependingon recent price performance.     

Toward a Theory of Activist-Driven Responsible Innovation: How Activists Pressure Firms to Adopt More Responsible Practices

Accounts of stakeholder influence on corporate social responsibility (CSR), situated in the CSR domain, have recognized that activists mitigate information asymmetries between firms and consumers. However, depictions of activists as information disseminators do not explain how they perform their quintessential role – pressuring resistant firms to engage in responsible innovation that emphasizes the creation of socioenvironmental value. Drawing from social movement theory that identifies claims as the instrument of such pressure, we examine four activist organizations’ use of claims across six campaigns to drive firms to adopt more socially and environmentally responsible practices, a form of responsible innovation. Our core contribution is an empirically grounded theory of activist-driven responsible innovation (ARI) that proposes how activists use claims to drive firms to engage in responsible innovation, as well as how features of the two sides may shape this outcome. Our ARI theory primarily enriches accounts of stakeholder influence on corporate social responsibility in the CSR domain and, in doing so, secondarily enriches accounts of the influence of activists’ claims on firms in the social movement domain. These contributions also speak to the resolution of grand challenges, a core interest of the special issue.     

Marketing insights from text analysis

Language is an integral part of marketing. Consumers share word of mouth, salespeople pitch services, and advertisements try to persuade. Further, small differences in wording can have a big impact. But while it is clear that language is both frequent and important, how can we extract insight from this new form of data? This paper provides an introduction to the main approaches to automated textual analysis and how researchers can use them to extract marketing insight. We provide a brief summary of dictionaries, topic modeling, and embeddings, some examples of how each approach can be used, and some advantages and limitations inherent to each method. Further, we outline how these approaches can be used both in empirical analysis of field data as well as experiments. Finally, an appendix provides links to relevant tools and readings to help interested readers learn more. By introducing more researchers to these valuable and accessible tools, we hope to encourage their adoption in a wide variety of areas of research.

     

Substitution across profit shifting methods and the impact on thin capitalization rules

International Tax and Public Finance - Thin capitalization rules limit firms’ ability to deduct internal interest payments from taxable income, thereby restricting debt shifting activities of...