The Greying Church: The Impact of Life Expectancy on Religiosity

Many churches are concerned about older and dwindling congregations. We develop a theoretical framework to explain not only the downward trend in church attendance, but also the increase in the proportion of older people in the congregations. Religiosity depends positively on the expected social and spiritual benefits attached to religious adherence, as well as the probability of entering heaven in the afterlife. While otherworldly compensation in terms of salvation and spiritual benefits motivates religiosity, the costs of formal religion in terms of time allocated to communal activities and foregone income work in the opposite direction. We show that higher life expectancy discounts expected benefits in the afterlife and is hence likely to lead to postponement of religiosity. For this reason, religious organizations should be prepared to attract older members to their congregations, while emphasizing contemporaneous religious benefits to increase overall church attendance.

Extending contingency: the impact of strategy, technology, size and business environment on the organisational form of small Chinese firms

This paper is inspired by articles in the last decade or so that have argued for more attention to theory, and to empirical analysis, within the well-known, and long-lasting, contingency framework for explaining the organisational form of the firm. Its contribution is to extend contingency analysis in three ways: (a) by empirically testing it, using explicit econometric modelling (rather than case study evidence) involving estimation by ordered probit analysis; (b) by extending its scope from large firms to SMEs; (c) by extending its applications from Western economic contexts, to an emerging economy context, using field work evidence from China. It calibrates organizational form in a new way, as an ordinal dependent variable, and also utilises new measures of familiar contingency factors from the literature (i.e. Environment, Strategy, Size and Technology) as the independent variables. An ordered probit model of contingency was constructed, and estimated by maximum likelihood, using a cross section of 83 private Chinese firms. The probit was found to be a good fit to the data, and displayed significant coefficients with plausible interpretations for key variables under all the four categories of contingency analysis, namely Environment, Strategy, Size and Technology. Thus we have generalised the contingency model, in terms of specification, interpretation and applications area.