Flexibility at different stages in the life cycle of projects: An empirical illustration of the “freedom to maneuver”

Many textbooks on project management present illustrations concerning the relative size of project attributes during different project phases. The derived models all have attributes in common, such as uncertainty, significance of decisions, and degree of freedom to maneuver, that are typically high in the beginning of the project and low in the end. At the same time, variables such as the accumulated cost and available information begin at low levels and end up at a high level at the end of the project. Based on empirical data from projects, this paper illustrates and quantifies one of these attributes, the freedom to maneuver, in different project phases.     

Environmental Innovations in Small and Medium Sized Enterprises

Supporting and accelerating the adoption and diffusion of environmental innovations amongst small and medium sized enterprises (SMEs) is a major challenge to environmental policy makers. Research suggests that whilst SMEs possess high flexibility, their innovative capacity may be limited to incremental changes within their existing technology system and network. Twenty case studies examining the innovation adoption process in SMEs in four sectors and in five countries within the ENVIS project (commissioned by the EU) revealed great variety in factors driving this process. Findings indicate that this variation can be attributed to the character of the environmental innovation, the specific business opportunity, the regulatory setting and pressure experienced by the sector. Based on these findings an analytical framework is suggested, whereby the environmental innovative capability of SMEs is conceived as the result of an interplay between the competencies, the network relations and the strategic orientation of the company (the 'dynamic triangle'). This indicates that policy to support SME's adoption of environmental innovations has to take an integrated form, i.e. addressing and developing competence, networks and strategic orientation of SMEs simultaneously whilst remaining systemic and context sensitive.     

On optimal control of income generating activities, and the value of flexible production design

The paper provides a closed form solution for the value of a firm which costlessly can change its mode of operation between two activities. The technology is such that production is zero from the inactive production line. In addition we assume that the production potential on any production line is idle when not operated, else the production follows a geometric Brownian motion. Although this framework is rather general, it is motivated by the problem to produce a natural resource located in two separate wells/ores, using a single (flexible) production unit. For what seems to be reasonable parameter values, the flexible unit is seen to achieve a surprisingly large value relative to the value achievable by a comprehensive unit, producing both alternatives simultaneously. In addition it is interesting to note that switching might occur even if the active production line gives the highest immediate income.     

Chance Constrained Programming Formulations for Stochastic Characterizations of Efficiency and Dominance in DEA

Pareto-Koopmans efficiency in Data Envelopment Analysis (DEA) is extended to stochastic inputs and outputs via probabilistic input-output vector comparisons in a given empirical production (possibility) set. In contrast to other approaches which have used Chance Constrained Programming formulations in DEA, the emphasis here is on joint chance constraints. An assumption of arbitrary but known probability distributions leads to the P-Model of chance constrained programming. A necessary condition for a DMU to be stochastically efficient and a sufficient condition for a DMU to be non-stochastically efficient are provided. Deterministic equivalents using the zero order decision rules of chance constrained programming and multivariate normal distributions take the form of an extended version of the additive model of DEA. Contacts are also maintained with all of the other presently available deterministic DEA models in the form of easily identified extensions which can be used to formalize the treatment of efficiency when stochastic elements are present.     

The political economy of redistribution under democracy

We ask what redistributions of income and assets are feasible in a democracy, given the initial assets and their distribution. The question is motivated by the possibility that if redistribution is insufficient for the poor or excessive for the rich, they may turn against democracy. In turn, if no redistribution simultaneously satisfies the poor and the wealthy, democracy cannot be sustained. Hence, the corollary question concerns the conditions under which democracy is sustainable. We find that democracies survive in wealthy societies. Conditional on the initial income distribution and the capacity of the poor and the wealthy to overthrow democracy, each country has a threshold of capital stock above which democracy survives. This threshold is lower when the distribution of initial endowments is more equal and when the revolutionary prowess of these groups is lower. Yet in poor unequal countries there exist no redistribution scheme which would be accepted both by the poor and the wealthy. Hence, democracy cannot survive. As endowments increase, redistribution schemes that satisfy both the poor and the wealthy emerge. Moreover, as capital stock grows the wealthy tolerate more and the poor less redistribution, so that the set of feasible redistributions becomes larger. Since the median voter prefers one such scheme to the dictatorship of either group, democracy survives.We would like to thank, Daron Acemoglu, Marco Basetto, Alberto Bisin, V.V. Chari, Pat Kehoe, Onur Ozgur for very useful comments.     

Indeterminacy, aggregate demand, and the real business cycle

We show that under indeterminacy aggregate demand shocks are able to explain not only aspects of actual fluctuations that standard RBC models predict fairly well, but also aspects of actual fluctuations that standard RBC models cannot explain, such as the hump-shaped, trend reverting impulse responses to transitory shocks found in US output (Cogley and Nason, Am. Econom. Rev. 85 (1995) 492); the large forecastable movements and comovements of output, consumption and hours (Rotemberg and Woodford, Am. Econom. Rev. 86 (1996) 71); and the fact that consumption appears to lead output and investment over the business cycle. Indeterminacy arises in our model due to capacity utilization and mild increasing returns to scale.     

Economic and Household Impacts of Projected Policy Changes for the Irish Agri‐food Sector

The policy environment for the Irish agri‐food sector could change rapidly in the coming decade. A potentially positive factor will be the elimination of milk quotas in 2015, although a potentially negative factor will be further trade liberalisation and increased import competition. These changes come on top of the move to decouple direct aids to farmers in 2005 as part of the Mid‐Term Review of the EU's Common Agricultural Policy agreed in 2003. This paper examines these reforms and their impacts on the Irish economy and income distribution using a CGE model particularly rich in detail on the agri‐food sectors, differentiated household groups, and agricultural policy instruments including their links to productive factors and households. The results suggest that the past and projected changes in the policy environment have, in sum, a small positive impact on GDP and household income. However, the gains and losses are unequally distributed across sectors and household groups due to the highly differentiated distribution of support and protection. Although all households generally gain from the sequence of policy reforms in the long run, some experience strong adverse effects from particular reforms and in the medium term.     

The U.S. health care expenditure: evidence from 2001 to 2009

This study utilizes state-level data from 2001 to 2009 to estimate the impact of the 2007 financial crisis upon health care expenditures. Higher death rates are consistently found to have a positive and statistically significant impact on health expenditures. While mental health and COPD are not generally found to impact expenditures, increases in the percentage of the population diagnosed with cholesterol and obesity tend to increase health expenditures. Increases in health expenditures slowed considerably after the financial crisis. Even though recessions (high unemployment rates) are generally found to have a positive impact on health expenditures, the post-financial crisis time period is estimated to have much lower health expenditures than in other time periods. Our results can be used to give insight into the conditions under which the slower rate of increase in health expenditures can be expected to increase. More research will be needed to be able to more completely explore not only the reasons for these changes in health expenditures but also whether they are likely to continue into the future.