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This thesis considers the link between financialisation and emerging market government policy autonomy. It analyses the government bond markets of three case study countries: Brazil, Lebanon and Turkey. Using extensive interview data in the three countries, and interviews with financial market actors in London and New York, the study explores the investment behaviour of a range of investors: commercial banks; individual investors; mutual funds; pension funds and hedge funds. The thesis uses the framework of financialisation – measured by the ability to trade risk – to analyse both international and domestic investors. The study shows that increased financialisation, of both financial market actors and the structure of government bond markets, generally serves to reduce loyalty and therefore reduces government policy autonomy. However, it is demonstrated that initial financialisation – the development of pension and mutual funds – serves to increase autonomy. This is captured by the construction of an ‘autonomy curve’. The conclusions suggest an updating the use of Hirschman’s concept of voice, exit and loyalty in the analysis of financial markets, to give a greater emphasis on loyalty and to include the use of ‘disloyalty’, the ability to short securities. It is also argued that financialisation is the appropriate framework to analyse processes of change in financial markets. The thesis also makes observations as to the true extent of government policy autonomy in emerging market countries, and policy recommendations regarding those governments’ attitude to financialisation.

Most attempts by governments to reduce black market activity target the supplier rather than the consumer. The current thesis, however, sees reducing the willingness of the consumer to buy such goods as crucial in reducing the market. Over three studies, I examined variables that affected consumers buying from black markets and their perceptions of black markets. Study 1 (80 participants) confirmed the hypothesis that when the need to buy from a black market was for survival it would be considered more acceptable than to save money or to buy luxury goods. Study 1 further showed it was less acceptable to buy from the black market when the victim resulting from the purchase of the good was identified as an individual, rather than an organisation or society. Age and the gender of the consumer were also significant predictors of the rating of acceptability. In Study 2,65 participants completed a series of computer simulated scenarios to measure the price they would pay for different black market goods. Results indicate that the price participants were willing to pay for black market goods varied according to who the victim was (individual, organisation or society) and the participant's age and gender. Finally, in Study 3, 64 participants completed a similar task to Study 2, but some participants were informed about the true cost of black markets. Results confirmed the previous findings as well as indicating that the type of crime committed to procure the good and whether they saw information about the true cost of the markets also affected the price they would be willing to pay. The thesis concludes with suggestions for reducing black market activity.

As social scientists have become increasingly aware of the welfare implications of firms' locations in space there has been a considerable amount of renewed interest in the issues pertaining to the geography of price. In the short time since Hay and Johnston (1980) lamented the insufficient attention being given to the theoretical background of geographic pricing, there has been impressive amounts of progress in certain analytical areas. However, within this bulk of literature, we still know remarkably little about the determinants of geographic price variation in spatial markets containing numerous sellers (firms) and buyers (consumers). Perhaps this should not be surprising given that much of the current research is being carried out by economists (who generally tend to emphasize market process in classically constructed structural-conduct-performance modes) rather than geographers (who tend to emphasize market description and locational patterns/properties arising from spatially defined economic and behavioral market processes). This dissertation focuses on geographic price variations in competitive oligopolies, where firms react under alternative pricing conjectures/strategies. Using computer aided simulation, the analytics of equilibrium price levels are examined in one-dimensional bounded and unbounded markets to uncover the algebraic properties of spatial markets, the effects of firm density, firm location, and demand elasticity on prices, the perversities associated with consumer-related transportation costs, and the distorting effects of mixed or asymmetrical rivals' pricing strategies. The modeling of spatial price competition is regarded as essential in the evaluation of equilibrium price as a function of boundary complications, market description, and the spatial arrangement of interdependent rivals. Long-run implications of spatial price competition are discussed with the intention of developing a model (beyond the scope of this dissertation) that not only recognizes rivals' price reactions, but also stresses locationally competitive strategies. Some empirical evidence on the nature of spatial price dependence amongst rival food chains in a metropolitan area is also examined.

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