Market exit of firms: Does corruption act as grease or sand?

This paper examines whether corruption acts to “grease” or “sand” firms' exit. Corruption could facilitate exit when it is a tax that distorts markets, or it might retard exit when it empowers firms to obtain undue favors. Results, using panel data across US states and considering market exit and firms' death rates as dependent variables, show that greater corruption acts as grease rather than sand in that it facilitates firms' exit/death. In other findings, larger states, greater regulations, and more unemployment contributed to exit, as did some demographic aspects. Higher state minimum wages resulted in firms' death but not exit.     

R&D Strategy in International Mixed Duopoly with Research Spillovers

This paper examines the international mixed duopoly behaviour with research spillovers. Using a two‐stage game with Research and Development (R&D) and output, we investigate the effects of imperfectly appropriable R&D on optimal R&D strategies of a domestic public firm and a foreign private firm across different market interactions: (i) international R&D competition, (ii) only the foreign firm conducts R&D, (iii) only the domestic public firm conducts R&D, (iv) no firm conducts R&D, and (v) research joint venture. The results show that firms' research performances are determined by the degree of spillovers and the optimal R&D strategies involve R&D competition. Spillovers are shown to be socially beneficial and their absence can prove to be a strategic deterrent, with the public firm monopolising the market. Some of these findings contrast with the traditional models of oligopoly (with or without R&D) and mixed oligopoly (without R&D).     

Brand love: development and validation of a practical scale

Batra et al. (Journal of Marketing 76, 1–16, 2012) created a new conceptualization of brand love but did not develop a pragmatically useful measure for studies where questionnaire length is a constraint. The current research develops a more parsimonious brand love scale, with three nested versions of 26, 13, and 6 items, respectively. This research also validates the scales, and in so doing conducts several important validity tests not considered by Batra et al. The 26-item scale is able to predict consumer loyalty, word of mouth, and resistance to negative information, with an R ² of .90, after correcting for measurement error.     

Psychometric vs. C-OAR-SE measures of brand love: A reply to Rossiter

Rossiter (Marketing Lett 23: 905–916, 2012) provides a critique of the brand love measure from Batra et al. (J Marketing 76: 1–16, 2012) and offers a new measure of brand love to be used in its stead. In this reply, we argue that our measure is more consistent with the best available understanding on love and brand love. We also note several serious problems in the underlying definition of love used by Rossiter and problems in the way his definition is operationalized in his measure.     

Unemployment,insurance and smoking

Using recent state-level data from the United States, this article examines new influences on cigarette demand. In particular, we uniquely focus on the effects of unemployment and health insurance coverage on smoking. Results show that higher cigarette prices, a lack of health insurance and restrictions on smoking at home, all lead to reduced smoking. On the other hand, literacy, income, unemployment, workplace smoking restrictions, smokeless tobacco taxes and tobacco-producing states do not seem to have an appreciable impact. The magnitude of the price elasticity of demand is greater than that found in the pre-MSA era. Policy implications are discussed.     

Economic uncertainty and corruption: evidence from a large cross-country data set

A vast amount of research has considered numerous causes and correlates of corruption. Also, there have been many studies of the consequences of various forms of uncertainty. However, exploration of the nexus between economic uncertainty and corruption appears scarce. After providing an intuitive and heuristic linkage between general economic uncertainty and corruption, this article uses a large cross-country data set to augment a fairly standard model with simple proxies for uncertainty and to investigate how economic uncertainty might affect the prevalence of corruption. In addition, a quantile-regression framework is used to judge how the strength of various covariates may differ with the level of corruption. Seven main points emerge from the estimates. First, economic uncertainty is associated positively with corruption, and the relation seems to be robust across measures of uncertainty and corruption. Second, quantile-regression estimates indicate considerable parametric heterogeneity across the distribution of corruption. Third, Gross Domestic Product (GDP) per capita has the expected corruption-mitigating role. Fourth, increased political rights and civil liberties also appear to lower corruption. Fifth, greater government consumption is associated with lower corruption. Sixth, while the hyperinflation dummy lacks significance in most OLS regressions, its significance varies across the distribution of corruption. Seventh, neither police force nor government subsidies shows significance, but transition economies have more corruption.     

Technological complementarities, demand, and market power

Recent technological changes in many industries have generated numerous complementary technologies. A key implication of complementary technologies is that the demand for related services has tended to change both qualitatively and quantitatively. While the economics literature has examined various aspects, the effects of technological complementarity have not been fully flushed out. Using a simple model, this paper examines the implications of technological complementarity. How have firms’ pricing abilities changed with complementary technologies? What implications do complementary technologies have for regulation? Results show that technological complementarity has the potential to increase the market power of firms, possibly increasing prices to unprecedented levels. This holds whether demand elasticity is constant or variable. Policy implications are discussed.     

Developing a typology of affective responses to advertising

This article identifies—and then validates—a set of categories for use in the measurement of affective responses to advertising. Unlike previous categories developed for this purpose, these are first extracted by cluster analysis and then also subjected to formal tests for reliability and for convergent, discriminant, concurrent, and predictive validity.