Institutional evolution as an emerging focus in scenario planning

In this paper, we argue that institutional evolution should occupy a center stage in scenario development. During the last two decades, strategy models have neglected the institutional milieu, partly because analytical approaches to link institutional milieus and business contexts were underdeveloped. However, theoretical developments in institutional economics accomplished during this time period make it possible to connect the consequences of institutional evolution to strategy development. Further, with the increasing globalization of commerce, and the attendant complexity and turbulence in institutional evolution, particularly in emerging economies, significant opportunities for strategy related action may reside not in product markets but in institutional arenas. Institution-focused scenarios are therefore increasingly needed. We outline the key linkages between the institutional milieu and business contexts and illustrate how scenarios incorporating institutional parameters can shed light on the strategy context in the case of emerging economies.     

The Effects of Attributes on the Repeat Sales Pattern of Residential Property in Hong Kong

There has been copious research work on the development of house price models and the construction of house price indices. However, results in some studies revealed that the accuracy of such indices could be subject to selection bias when using only information from a sample of sold properties to estimate value movements for the entire housing stock. In particular, estimated house price appreciation is usually systematically higher among properties that change hands more frequently. It therefore suggests that the determination of important factors affecting the transaction frequency or intensity of a housing unit should be a more fundamental research question. This paper examines the possible factors that determine the popularity of residential unit by means of a repeated sales pattern. The Poisson regression model and event history analysis techniques are employed to assess the effect of attributes on transaction frequency and intensity. The event history analyses technique can take account of transaction-specific as well as time-dependent covariates, and therefore is recommended for analyzing repeated sales data in a real estate market. All transaction records during the period 1993–2000 from the Land Registry of one of the most popular residential estates in Hong Kong were used to illustrate the method. Unlike a response to favorable transaction price, good quality units do not necessarily inherently display a high transaction frequency. Rather, units of average quality are more likely to be transactionally active.     

Fiscal deficits and inflation

Macroeconomic theory postulates that persistent fiscal deficits are inflationary. Yet empirical research has had limited success in uncovering this relationship. This paper reexamines the issue in light of broader data and a new modeling approach that incorporates two key features of the theory. Unlike previous studies, we model inflation as non-linearly related to fiscal deficits through the inflation tax base and estimate this relationship as intrinsically dynamic, using panel techniques that explicitly distinguish between short- and long-run effects of fiscal deficits. Results spanning 107 countries over 1960-2001 show a strong positive association between deficits and inflation among high-inflation and developing country groups, but not among low-inflation advanced economies.     

Fiscal Consolidation and Decentralisation: A Tale of Two Tiers*

This paper contributes to the established literature on fiscal consolidations by investigating the distinct behaviour of central and sub‐central tiers of government during general government consolidation attempts. In the light of different degrees of decentralisation across OECD countries, and the different responsibilities devolved to sub‐central tiers, we believe that this approach offers an illuminating insight into the analysis of fiscal consolidations and their success. We show that the involvement of the sub‐central tiers of government is crucial to achieving cuts in expenditure, particularly in relation to the overall size of the government wage bill. In addition, central governments appear to exert a strong influence on the expenditure of sub‐central tiers through their grant allocations, and control of these allocations appears to have a considerable impact upon the overall success of consolidation attempts. Finally, we demonstrate that there is a skewness in cuts towards sub‐central capital expenditure both when central governments cut grant allocations and when sub‐central governments engage in lone consolidation attempts.     

An international study of internal audit function quality

We investigate organisational and environmental factors that influence firms’ incentives to develop high-quality internal audit functions (IAFs) by using a unique international sample formed by matching proprietary data from a global internal auditor survey with public data obtained from Worldscope. Concerning organisational factors, we find that a positive relationship exists between IAF quality and firm complexity and confirm that complex firms have a higher demand for monitoring and advising and, therefore, a greater need for formal controls. In addition, IAF quality is positively related to board monitoring and audit committee diligence but negatively associated with CEO power, which suggests that IAF quality is influenced by other key players in corporate governance. Regarding environmental factors, we document that IAF quality is positively associated with industry competition, which implies that a firm’s incentive for a high-quality IAF is enhanced when confronted with greater environmental uncertainty. Furthermore, IAF quality has a significantly positive relationship with our self-constructed index of IAF requirements included in national corporate governance codes, which indicates that strong home-country corporate governance codes play a role in fostering IAF development.     

Machine learning in individual claims reserving

Machine learning techniques make it feasible to calculate claims reserves on individual claims data. This paper illustrates how these techniques can be used by providing an explicit example in individual claims reserving.     

Tax penalties on fluctuating incomes: estimates from longitudinal data

Progressive personal income taxes can cause individuals with fluctuating incomes to pay more taxes over time than individuals with constant incomes of the same average value. The implicit tax penalty violates principles of equity and may harm efficiency by discouraging risk-taking activities, such as entrepreneurship. This paper uses longitudinal data to estimate the tax penalties in six panels of Canadian data from 1993 to 2010. The effects of various income averaging policies for mitigating tax penalties are then examined.     

Bank net interest margins,the yield curve,and the 2007–2009 financial crisis

Using quarterly call report data from 2000 to 2016, we reexamine the relationship between net interest margins (NIM) and the yield curve for more than 5,500 U.S. commercial banks. In the full sample, yield curve and RGDP growth have positive effects on NIM, while inflation and deposit‐to‐loan ratios (D/L) have negative effects. Splitting the sample around the 2007–2009 crisis, we show the impact of yield curve and RGDP growth on NIM increasing during the “recovery” (2009Q3 to 2016Q4), and inflation and D/L changing signs. Positive effects of yield curve on profits vary with bank size and change over time.     

On the properties of high-order non-monetary measures for risks

This paper investigates how welfare losses for facing high-order risk increases change when the risk environment of the decision maker is altered. To that aim, we define the nth-order utility premium as a measure of pain associated with facing the passage of one risk to a more severe one and we examine some of its properties. Changes in risk are expressed through the concept of stochastic dominance of order n. The paper investigates more particularly welfare changes of merging increases in risk, first ignoring background risks, then taking them into account. Merging increases in risk may be beneficial or not, depending on whether background risks are considered and how. The paper also provides conditions on individual preferences for superadditivity of the nth-order utility premium. The results confirm the importance and usefulness of two analytical concepts: mixed risk aversion and risk apportionment.     

Energy and CO2 emission relationships in the NAFTA trading bloc: a multi-regional multi-factor energy input–output approach

The North-America Free Trade Agreement (NAFTA) has brought together the economies of Canada, Mexico, and the US into forming one of the largest trading blocs worldwide (within the top CO₂ emitters). However, the current global protectionist discourse threatens the agreement. This paper analyzes the energy and energy-related CO₂ emission relationships between NAFTA countries in 2014 to gain insights into the climate change implications of current integration and the possible cancelation of the agreement. The analysis is performed with a multi-regional version of the multi-factor energy input–output model. The results show that NAFTA has not built a single integrated energy system, though it has helped reduce energy-related CO₂ emissions. Moreover, if NAFTA is not revoked, further integration would depend on the capacity of the Mexican energy sector to converge to the performance of its trade partners’ energy sectors. Conversely, a broken deal would induce negative environmental externalities.