Institutional Pressures and an Evolving Forest Carbon Market

It is estimated that 87 million acres of forestland in the United States (US) is managed by private industrial forestland owners (nearly 14% of the forestland nationwide). Private industrial forestland owners include forest product companies, Timber Investment Management Organizations (TIMOs) and Real Estate Investment Trusts (REITs). Current regulatory and voluntary carbon markets, as well as proposed national emission reduction legislation, in the US make provisions for substantial carbon offsets from domestic forestry projects. This research employs the theory of planned behavior by means of an online questionnaire in order to survey large industrial forestland owners (>30 000 acres) regarding intentions to manage forestland for carbon sequestration and trading. Quantitative results suggest that very few organizations (18%) were managing forestland for carbon values. Attitudes towards carbon sequestration and trading were significantly influenced by the managers' beliefs that emission reduction legislation would become law and that US forest carbon offsets can be used as a legitimate climate change mitigation tool. Qualitative results revealed that most organizations are taking a passive approach to carbon sequestration and trading until a suitable regulatory framework emerges and carbon prices provide the conditions for a sound investment. The researchers suggest that, given the size and scope of the climate change phenomenon as well as the multifaceted and unified mitigation strategy required to address it, the development of functional carbon markets will be an iterative process and may require a global carbon framework that reflects the globalized nature of the forest economy. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment     

Successful programs wanted: Exploring the impact of alignment

Alignment between formulation and implementation of business strategy can be important for achieving successful programs. The authors have explored the development of a program management alignment theory. Statistical testing showed that interaction between the study model variables was found to be multidimensional, complex, and subtle in influence. Thus, the authors conclude that programs have both deliberate and emergent strategies requiring design and management to be organized as complex adaptive systems. Program life‐cycle phases of design and transition were often formed from an unclear and confusing strategic picture at the outset, which can make those phases difficult to control. Learning was established as an underlying challenge. The study model demonstrated continuous alignment as an essential attribute contributing toward successful delivery. This requires program design and structure to adopt an adaptive posture.     

Heckscher–Ohlin theory when countries have different technologies

Rethinking the foundations of Heckscher–Ohlin theory when countries have different technologies, this paper shows how to make the proper adjustments for international productivity differences. The central tool is a factor conversion matrix that computes the local factor content of foreign Rybczynski effects. Factor-specific productivities are a special case of these more general linear relationships.     

International Benchmarking for Monopoly Price Regulation: The Case of Australian Gas Distribution

Price-cap regulation is widely applied to network industries. However, regulators often encounter the problem of asymmetric information on efficient costs. Benchmarking can help reduce this problem. We present a benchmarking analysis, conducted for an Australian regulator, that derives measures of efficiency for Australian gas distributors relative to U.S. counterparts. Several techniques, such as data envelopment analysis and stochastic frontier analysis, are used to ensure that our measures are robust to methodology choice. We conclude with a discussion of how the regulator used the benchmarking results, along with other information, to help it determine appropriate price caps.     

A dynamic two country Heckscher–Ohlin model with non-homothetic preferences

We examine the properties of a two-country dynamic Heckscher–Ohlin model that allows for preferences to be non-homothetic. We show that the model has a continuum of steady state equilibria under free trade, with the initial conditions determining which equilibrium will be attained. We establish conditions under which a static Heckscher–Ohlin theorem will hold in the steady state, and also conditions for a dynamic Heckscher–Ohlin theorem to hold. If both goods are normal, each country will have a unique autarkic steady state, and all steady state equilibria are saddle points. We also consider the case in which one good is inferior, and show that this can lead to multiple autarkic steady states, violations of the static Heckscher–Ohlin theorem in the steady state. Furthermore, there may exist steady state equilibria that Pareto dominate other steady states. These steady states will be unstable if discount factors are the same in each country, although they may exhibit dynamic indeterminacy if discount factors differ.     

Monetary–fiscal policy interactions and fiscal stimulus

Increases in government spending trigger substitution effects—both inter- and intra-temporal—and a wealth effect. The ultimate impacts on the economy hinge on current and expected monetary and fiscal policy behavior. Studies that impose active monetary policy and passive fiscal policy typically find that government consumption crowds out private consumption: higher future taxes create a strong negative wealth effect, while the active monetary response increases the real interest rate. This paper estimates Markov-switching policy rules for the United States and finds that monetary and fiscal policies fluctuate between active and passive behavior. When the estimated joint policy process is imposed on a conventional new Keynesian model, government spending generates positive consumption multipliers in some policy regimes and in simulated data in which all policy regimes are realized. The paper reports the model's predictions of the macroeconomic impacts of the American Recovery and Reinvestment Act's implied path for government spending under alternative monetary–fiscal policy combinations.     

Inflation and the fiscal limit

We use a rational expectations framework to assess the implications of rising debt in an environment with a “fiscal limit”. The fiscal limit is defined as the point where the government no longer has the ability to finance higher debt levels by increasing taxes, so either an adjustment to fiscal spending or monetary policy must occur to stabilize debt. We give households a joint probability distribution over the various policy adjustments that may occur, as well as over the timing of when the fiscal limit is hit. One policy option that stabilizes debt is a passive monetary policy, which generates a burst of inflation that devalues the existing nominal debt stock. The probability of this outcome places upward pressure on inflation expectations and poses a substantial challenge to a central bank pursuing an inflation target. The distribution of outcomes for the path of future inflation has a fat right tail, revealing that only a small set of outcomes imply dire inflationary scenarios. Avoiding these scenarios, however, requires the fiscal authority to renege on some share of future promised transfers.     

Lifestyles of the rich and polygynous in Cote d’Ivoire

This paper investigates whether the sources of income, not just the levels, determine whether an individual is monogamous. Our results support the idea that polygyny stunts development by allowing wealthy men to acquire wives rather than investing in child quality.     

Causality effects in return volatility measures with random times

We provide a structural approach to identify instantaneous causality effects between durations and stock price volatility. So far, in the literature, instantaneous causality effects have either been excluded or cannot be identified separately from Granger type causality effects. By giving explicit moment conditions for observed returns over (random) duration intervals, we are able to identify an instantaneous causality effect. The documented causality effect has significant impact on inference for tick-by-tick data. We find that instantaneous volatility forecasts for, e.g., IBM stock returns must be decreased by as much as 40% when not having seen the next quote change before its (conditionally) median time. Also, instantaneous volatilities are found to be much higher than indicated by standard volatility assessment procedures using tick-by-tick data. For IBM, a naive assessment of spot volatility based on observed returns between quote changes would only account for 60% of the actual volatility. For less liquidly traded stocks at NYSE this effect is even stronger.