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This chapter deals with the estimation of the effect of exchange rate flexibility on financial account openness. The purpose of our analysis is twofold: On the one hand, we try to quantify the differences in the estimated parameters when exchange rate flexibility is treated as an exogenous regressor. On the other hand, we try to identify how two different degrees of exchange rate flexibility (intermediate vs floating regimes) affect the propensity of opening the financial account. We argue that a simultaneous determination of exchange rate and financial account policies must be acknowledged in order to obtain reliable estimates of their interaction and determinants. Using a panel data set of advanced countries and emerging markets, a trivariate probit model is estimated via a maximum simulated likelihood approach. In line with the monetary policy trilemma, our results show that countries switching from an intermediate regime to a floating arrangement are more likely to remove capital controls. In addition, the estimated coefficients exhibit important differences when exchange rate flexibility is treated as an exogenous regressor relative to the case when it is treated as endogenous.

The impetus for this paper was the recognition, based on recent surveys and our own experiences, that organizations face special challenges when designing and validating selection procedures for information technology (IT) workers. The history of the IT industry, the nature of IT work, and characteristics of IT workers converge to make the selection of IT workers uniquely challenging. In this paper, we identify these challenges and suggest means of addressing them. We show the advantages offered by the modern view of validation that endorses a wide spectrum of probative information relevant to establishing the job relatedness and business necessity of IT selection procedures. Finally, we identify the implications of these issues for industrial/organizational psychologists, human resource managers, and managers of IT workers.

This chapter highlights the characteristics of Asia through the analysis of policy-related documents by five donor countries, namely Japan, South Korea, China, India and Thailand. It will also examine the roles played by regional bodies such as the Southeast Asian Ministers of Education Organization (SEAMEO) and ASPBAE (the Asia South Pacific Association for Basic and Adult Education) as the horizontal channels influencing aid policies in respective countries. Together with the analysis of the national and organizational policies, the regional process of building consensus on the post-2015 agenda is examined, with a particular focus on the Asia-Pacific Regional Education Conference (APREC) held in August 2014.

The analysis reveals that the region has two faces: one is imaginary and the other is functional. There is a common trend across Asian donors to refer to their historical ties with regions and countries to which they provide assistance and their traditional notions of education and development. They highlight Asian features in contrast to conventional aid principles and approaches based on the Western value system, either apparently or in a muted manner. In this sense, the imagined community of Asia with common cultural roots is perceived by the policymakers across the board.

At the same time, administratively, the importance of the region as a stage between the national and global levels is recognized increasingly in the multilateral global governance structure. With this broadened participatory structure, as discussed in the chapter ‘Post-EFA Global Discourse: The Process of Shaping the Shared View of the ‘Education Community’’, the expected function of the region to transmit the norms and requests from the global level and to collect and summarize national voices has increased.

It is broadly recognized in China that funding risks due to a lack of sufficient financial support from banks are the most crucial constraints that prevent the growth of small and medium enterprises (SMEs). In developed economies, such as Japan and European countries, the relationship banking business model is commonly used to help support SMEs to deal with funding risks. In this chapter, we investigate whether the relationship banking business model can be applied in China. This chapter uses the results of a unique survey study that was conducted by Professor Hiroyuki Kato of Kobe University and Professor Tang Cheng of Chuo University. They studied 183 SMEs in Zhejiang Province in China. After cleaning the data, the final sample size for this study was 100 firms. Using this data, we estimated the ordered logistic and OLS models to examine several hypotheses regarding relationship banking. We found evidence suggesting that relationship banking can mitigate funding risks for SMEs in China. Our study suggests that, although Chinese banks are still underdeveloped in terms of providing relationship lending, promoting the relationship banking model may be a significant way to resolve the financial difficulties of Chinese SMEs. It is generally very difficult to test hypotheses regarding relationship banking in China because of a lack of relevant data about Chinese SMEs. Due to our unique data set, which contains relevant information directly provided by Chinese SMEs, we can examine these hypotheses.

This chapter provides further evidence on the role of uncertainty and job complexity in pay-for-performance and autonomy decisions. It proposes an encompassing econometric approach in order to explain the differences in previous outcomes that may be due to differing methodological approaches. The main stylized fact is that autonomy and pay-for-performance are positively associated. Additionally, autonomy is positively related to job complexity and uncertainty suggesting that the relationship between these latter variables and pay-for-performance could be through autonomy. After controlling for autonomy, the positive relationship between pay-for-performance and job complexity disappears, while that between pay-for-performance and uncertainty becomes more negative.