Devolution & Entrenched Household Poverty: Is Scotland less mobile?

The Scottish National Party led Scottish Government has identified household poverty as a key focus for its anti-poverty strategy. The government’s ‘Solidarity Target’ seeks to both increase wealth and increase the share of total income gained by these three deciles. The ability to demonstrate the advantages of policy divergence within Scotland, relative to the other parts of the United Kingdom, is central to the Government’s aim of gaining support for increased powers for the devolved government. This paper seeks to provide evidence on one aspect of the government’s anti- poverty strategy; the degree to which Scotland differs from the rest of the UK over levels of entrenched poverty. The paper demonstrates that not only does Scotland have greater entrenched poverty but that the changes in mobility since the 1990s have impacted on Scotland to a lesser degree than the rest of the UK.

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.