New Financial Elites, or Financial Dualism in Historical perspective? An Extended Reply to Folkman, Froud, Johal and Williams

This paper challenges the recent suggestion that a new financial elite has evolved which is able to capture substantial profit shares for itself. Specifically, it questions the assumption that new groups of financial intermediaries have increased in significance primarily because there is evidence that various types of financial speculators have played a similarly extensive role at several junctures of economic development. The paper then develops the alternative hypothesis that, rather than being a recent development, the rise of these financial intermediaries is a cyclical phenomenon which is linked to specific regimes of capital accumulation. The hypothesis is underpinned by historical data from the US National Income and Product Accounts for the period from 1930 to 2000, which suggest that the activities of `mainstream' financial intermediaries have been accompanied by the frequently countercyclical activities of a `speculative' sector of security and commodity brokers. Based on the combination of this qualitative and quantitative evidence, the paper concludes that the rise of a speculative financial sector is a potentially recurrent phenomenon which is linked to periods of economic restructuring and turmoil.

China’s National Security Review: a tit-for-tat response?

China is gradually taking its place as a major regulator, exercising concurrent jurisdiction of the national security review along with the US and EU over high-profile cross-border mergers and acquisitions. The National Security Review (NSR) regulatory regime of foreign acquisitions has attracted significant attention recently with the establishment of China's counterpart to the Committee on Foreign Investment in the United States (CFIUS). Due to the intensified activities of sovereign wealth funds (SWFs) that are closely linked with states, CFIUS's broad discretion to deal with China's SWF-based investment may have a far-reaching impact on China's implementation of the newly enacted NSR regime. It is essential to design a mechanism that allows SWFs to maximise their positive attributes while safeguarding the apolitical integrity of the marketplace. Any disproportionate use of the NSR regime would inevitably bring about more unintended consequences, such as tit-for-tat protectionism. This represents an imminent threat to the tenuous recovery from the recent economic crisis, largely because of the increasingly intertwined and interdependent nature of the global financial markets. It is of utmost significance to evaluate the extent to which the updated legislation strikes a reasonable balance between preserving genuine national security interests and maintaining an open environment for investment.

Risk adjustment for hospital use using social security data: cross sectional small area analysis

Objectives: To identify demographic and socioeconomic determinants of need for acute hospital treatment at small area level. To establish whether there is a relation between poverty and use of inpatient services. To devise a risk adjustment formula for distributing public funds for hospital services using, as far as possible, variables that can be updated between censuses. Design: Cross sectional analysis. Spatial interactive modelling was used to quantify the proximity of the population to health service facilities. Two stage weighted least squares regression was used to model use against supply of hospital and community services and a wide range of potential needs drivers including health, socioeconomic census variables, uptake of income support and family credit, and religious denomination. Setting: Northern Ireland. Main outcome measure: Intensity of use of inpatient services. Results: After endogeneity of supply and use was taken into account, a statistical model was produced that predicted use based on five variables: income support, family credit, elderly people living alone, all ages standardised mortality ratio, and low birth weight. The main effect of the formula produced is to move resources from urban to rural areas. Conclusions: This work has produced a population risk adjustment formula for acute hospital treatment in which four of the five variables can be updated annually rather than relying on census derived data. Inclusion of the social security data makes a substantial difference to the model and to the results produced by the formula.