Capitalization versus Expensing: Evidence on the Uncertainty of Future Earnings from Capital Expenditures versus R&D Outlays

We propose and implement a new method to estimate the relation between R&D investments and the uncertainty of future benefits from those investments. The empirical analysis compares the relative contributions of current investments in R&D and PP&E to future earnings variability using a sample of roughly 50,000 firm-year observations from 1972–1997. Evidence is strongly consistent with the hypothesis that R&D investments generate future benefits that are far more uncertain than benefits from investments in PP&E. Our results should help the current discussion on accounting for R&D and the methodology might be helpful in standard setting in other contexts as well.     

HUMANITARIAN CRISES AND ADOLESCENT WELL-BEING: KNOWLEDGE,GAPS, AND PROSPECTS

Adolescence constitutes the second and final window of human growth and a period of specific vulnerabilities, such as early pregnancy, early marriage, HIV infection, suicide, violence, alcohol, and drugs. Only a limited body of research investigates the effects of humanitarian crises on the human capital and well-being of adolescents. The evidence focuses on the short-term effects of conflict and, to a lesser extent, natural disasters on education, physical health, and nutrition, but not on mental health. Most analyses examine the situations of individuals exposed in utero and young childhood, but rarely during adolescence. Typically missing are robust empirical identification strategies and estimates on heterogeneous effects across age or gender. The lack of quality data and challenges in defining adolescence, establishing causality, or ensuring ethical research explain the knowledge gaps. Possible ways to expand the evidence base include mixing georeferenced data on individual location with georeferenced data on crises, sharpening quasi-experimental analytical techniques, and reconsidering the current timing of demographic data collection, now spanning 4- or 5-year intervals. The failure to make such adjustments will end by ignoring specific vulnerabilities among adolescents and render sustainable progress in well-being globally, narrowing inequalities, and guaranteeing human rights to all more difficult to achieve.     

Nonlinear mapping: An alternative to multidimensional scaling for product positioning

This study tests and contrasts the ability of multidimensional scaling (MDS) and nonlinear mapping (NLM) in recovering complex data structures in attribute space, and aiding researchers and practitioners in making neighborhood interpretations. The relative merits of both MDS and NLM for product positioning are explored and discussed. A formal comparison of the performance of NLM versus MDS is presented using both simulated and actual data. The results of this study provide direction as to the conditions under which a nonlinear mapping algorithm is preferable over MDS.     

Multi-level governance for sustainable innovation in smart communities: an ecosystems approach

International Entrepreneurship and Management Journal - This paper analyses the TrentoSmartCity project to redefine Trento (an Italian municipality) as a smart community according to an ecosystems...     

Frontiers of commercial real estate portfolio performance: Are sector-region-efficient diversification strategies a myth or reality?

This paper departs from the traditional optimisation methods used to evaluate portfolio performance. Rather, the Stochastic Frontier Analysis approach is used to econometrically determine the benchmark real estate portfolio frontier and subsequently assess the gains from diversifying real estate portfolios along regional and sectoral dimensions in the UK. Portfolio specific inefficiency measures are obtained which indicate whether a portfolio is efficiently diversified and therefore places on the benchmark frontier and if not, the degree to which performance can be improved is quantified. Portfolio-specific efficiencies average at 85–91%, indicating scope to further improve performance. Further, diversification be it on a sectoral or regional dimension, contributes to significantly lower variability in portfolio efficiencies.     

Regional infrastructure and firm investment: theory and empirical evidence for Italy

The authors model the channels through which public expenditure on infrastructure influences firm value and shapes its investment decisions via both adjustment costs and marginal profitability of capital. The authors test these hypotheses using a large panel of Italian firms. Empirical results show that infrastructure interacts with revenues and costs in shaping firm??s capital profitability and influences its adjustment costs. Finally, the authors find that infrastructure expenditure contributes to the reduction of the economic gap between the North and the South of Italy. These effects vary across regions and sectors.     

Some complications in the measurement of environmental control impacts: A case study of water pollution controls

This paper examines several complications in the measurement of the impact of government regulations on industry. It focuses on problems of water pollution control, but its lessons apply to almost any exogenous and discontinuous change in factor costs whether regulation induced or not. Among the problems addressed are: estimation of industry cost curves; economic criteria for identifying the technical alternatives to be included in engineering studies of regulatory impact; choice of minimum cost abatement methods; sensitivity of findings to factor price changes; managerial criteria for selection of control methods; intra-industry disaggregation of impacts; dynamic economic process of adjustment to controls. The methods demonstrated are microanalytical in nature. This paper does not examine the larger social questions regarding the effectiveness of regulation.     

Forecasting the effect of an environmental change on market performance: An intervention time-series approach

Forecasting the effects of changes in advertising or pricing strategies on a company's sales or market share is an important task faced by marketing managers. This paper applies a time series approach, intervention analysis, to several marketing policy applications illustrating the flexibility and value of the method for testing hypotheses and providing forecasts. Empirical evidence is presented for two different marketing situations, one that involves a change in advertising and another that involves offering price specials.