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Since the transportation sector plays an important role in the initiation and propagation of business cycles, in previous chapters we developed output [transportation services output (TSI)] and other indicators to construct an index of coincident indicators for the U.S. transportation sector to identify its current state. We defined the reference cycle, including both business and growth cycles for this sector beginning in 1979 using both the conventional National Bureau of Economic Research (NBER) method and modern time series models. A one-to-one correspondence between cycles in the transportation sector and those in the aggregate economy was found; however, both business and growth cycles of transportation often start earlier and end later than those of the overall economy. Although the knowledge and inference based on coincident indicators can serve as an important reference for planning and other decision-making processes, these indicators are also subject to substantial lag due to data collection, processing and revision, underscoring the need to develop a system of leading indicators for the industry. Thus, in this chapter, we construct an index of leading indicators for the transportation sector as a forecasting tool using rigorous statistical procedures.

Several developing economies witnessed a large number of systemic financial and currency crises since the 1980s that resulted in severe economic, social, and political problems. The devastating impact of the 1982 and 1994–1995 Mexican crises, the 1997–1998 Asian financial crisis, the 1998 Russian crisis, and the ongoing financial crisis of 2008–2009 suggests that maintaining financial sector stability through reduction in vulnerability is highly crucial. The world is now witnessing an unprecedented systemic financial crisis originated from the USA in September 2008 together with a deep worldwide economic recession, particularly in developed countries of Europe and North America. This calls for devising and using on a regular basis an appropriate and effective monitoring and policy formulation system for detecting and addressing vulnerabilities leading to crisis. This chapter proposes a macroprudential/financial soundness monitoring, analysis, and remedial policy formulation system that can be used by most developing countries with or without crisis experience as well as with limited data. It also discusses a process for identifying and compiling a set of leading macroprudential/financial soundness indicators. An empirical illustration using Philippines data is presented. There is an urgent need for increased coordination, collaboration, and partnership among central banks, banking and financial market supervision agencies, and ministries of finance, economic, and planning for proper macroprudential monitoring. A high-level national financial stability committee under the auspices of the head of the state as well as a ‘‘regional financial stability board’’ needs to be established to complement and support the activities of an “international stability board.”

This concluding chapter not only summarises the key discussions and arguments of the preceding chapters but also reflects on organisational, managerial, supervisory, behavioural, social and cultural factors shaping the miners’ reactions to the restructured and formalised deep-level mining work processes and their unofficial job tactic of making a plan (planisa). The chapter provides suggestions on how the positive aspects of planisa could be harnessed and negative aspects addressed towards efficient, productive and safer organisational, managerial, supervisory and operational practices at the rock-face down the mine.

The purpose of this study is to illustrate the use of the ad hoc methodology of causal mapping to support the process of quantifying the financial returns related to sustainability investments. The present study uses two methods to build causal maps, that is aggregate and congregate mapping, in order to capture managerial cognition and derive a model that reflects companies’ competitive advantages. The resulting causal map is a prerequisite and serves as a building block for the design of the organisation’s performance management systems for sustainability.

This study relies on qualitative, deductive research undertaken at the leading international pharmaceutical company Novo Nordisk. This chapter presents the results of a longitudinal study developed through an action research approach conducted at the Company over a four-year period.

This study illustrates how the described approach for developing causal maps can facilitate the elicitation of managerial tacit knowledge and the consequent identification of indicators to quantify the investments in sustainability.

This chapter proves the relevance of causal mapping as a comprehensive, articulated basis for developing and improving organisations’ strategic performance measurement systems (SPMSs).

This study’s main contribution is the triangulation of multiple qualitative methods to enhance the reliability of causal maps. This innovative approach supports the use of causal mapping to extract managerial tacit knowledge in order to identify indicators for the evaluation of investments in sustainability.

With the increasing importance of the service-providing sectors, information from these sectors has become essential to the understanding of contemporary business cycles. Contribution of services to GDP during postwar recessions is clearly recorded in Table 4.1. On average, decline in real GDP during recessions would have been at least 70% more severe without the stabilization effect from services. Moore (1987) noted that the ability of the service sectors to create jobs has differentiated business cycles since the 1980s, and has led economy-wide recessions to be shorter and less severe. This is reflected as mild declines in employment of service sectors and its dominance in the total nonfarm employment, as plotted in Figure 4.1a. The growth in real GDP by major type of products obtained from National NIPA is depicted in Figure 4.1b. Since 1985, services never had a negative growth, which has muted the volatility in goods and structures, and resulted in more stable economy measured by total GDP (see also McConnell and Perez-Quiros, 2000).