Growth, Inequality, and Well-Being: Intertemporal and Global Comparisons

We use several well-being measures that combine average incomewith a measure of inequality to undertake intertemporal andglobal comparisons of wellbeing. The conclusions emerging fromthe intertemporal analysis are that the impact of these measureson temporal trends in well-being is relatively small on average,but changing across the decades. In particular, it suggeststhat changes in well-being were understated in the 1960s and1970s and overstated in the 1980s and 1990s. Our global analysiscovering ca. 81 per cent of the world's population demonstratesthat global well-being is at least 50 per cent smaller thanworld per capita income if the unequal income distribution isalso factored in. Conversely, growth in world well-being hasbeen larger than world income growth between 1970–1998.Since the inclusion of inequality has an important impact onwell-being comparisons, it is of great importance to generatemore consistent and intertemporally as well as internationallycomparable data on inequality. (JEL I31, D63)     

Overlapping Generations or Infinitely-Lived Agents: Intergenerational Altruism and the Economics of Global Warming

Do we need an overlapping generations model for the economics of global warming? To answer this question, an infinitely-lived agent (ILA) approach and an overlapping generations (OLG) model are contrasted. ILA and OLG can be viewed as polar representations of intergenerational altruism. With ILA an immortal agent acts through his investment/savings decisions as trustee on the behalf of the future generations. With OLG, agents need not behave altruistic. They simply save during working years and dissave completely during retirement. Nevertheless, ILA and OLG must not differ in their implication for greenhouse policy. Greenhouse gas abatement is a straightforward alternative to physical capital formation and, even without altruism, each age cohort has an incentive to provide current abatement in order to reduce future damages attributable to climate change. Indeed, under reasonable assumptions and parameter values, our simulations reveal such an invariance result. Provided carbon taxes are the only policy tool and tax revenues are recycled through socially mandated rules, projections of economic growth, climate change and energy consumption are only insignificantly affected by the choice of approach.     

Disclosure of Private Information and Reduction of Uncertainty: Environmental Liabilities in the Chemical Industry

We investigate the potential uncertainty-reducing role of accounting information in the context of contingent Superfund liability valuation. We first develop theoretical arguments for the way reduction of uncertainty regarding these contingent liabilities is expected to affect security prices. Empirical proxies are developed for two types of uncertainty surrounding contingent Superfund liabilities: site uncertainty and allocation uncertainty. In a valuation framework, we then investigate whether financial statement disclosures and accruals reduce uncertainty and thereby affect security valuation. Specifically, we analyze the interaction of private information contained in firm disclosures and accruals with inherent uncertainty surrounding contingent Superfund liabilities. Results suggest that in a regulatory environment allowing substantial reporting discretion, firm-provided financial statement information affects valuation of contingent Superfund liabilities by reducing uncertainty. Further, we find that information revealed through accruals versus disclosures is differentially effective at reducing site and allocation uncertainty.     

Involving suppliers in product development: Insights from R&D directors and project managers

While there is increasing evidence that involving suppliers in new product development (NPD) is important, and for many firms even inevitable, there is also evidence that not all such efforts are successful. Firms aiming at implementing this strategy effectively have to pay close attention to several contingency factors on the organizational level and properly manage supplier involvement on the project level. The exploratory case study research underlying this article explores key issues to be considered when involving suppliers in NPD and the counter measures they can take. Our research shows that companies differentiate between so-called “know-how” and “capacity” projects, and that they manage them differently. Furthermore, this research shows that firms outside the automotive and high-tech manufacturing industries are likely to intensify supplier involvement in the future.     

Determinants of idea sharing in crowdsourcing: evidence from the automotive industry

Drawing on external ideas through crowdsourcing has become common practice for firms that seek to improve and extend their product portfolios. As these initiatives often address the users of products, it is essential for firms to recognize those attributes that determine these individuals' willingness to share their ideas. This study takes the example of the automotive industry to examine how three attributes of car drivers determine their sharing behavior – that is, altruism, psychological ownership of ideas, and trust in car manufacturers. Our findings suggest that trust and altruism strengthen idea sharing, while psychological ownership weakens it. Furthermore, we find that car drivers' perception of sharing‐related risk acts as an important boundary condition for these relationships.     

Trade and Industrial Policies with Heterogeneous Firms: The Role of Country Asymmetries

This paper explores the role of country asymmetries for trade and industrial policies with heterogeneous firms. The analysis delivers a number of novel results. First, trade policies, infrastructure policies and industrial policies which improve the business conditions in one country have negative productivity and welfare effects on the trading partner. Second, symmetric trade liberalization is immiserizing for a trading partner whose business conditions are inferior. Third, there are gains from trade even for a country whose monopolistically competitive sector with heterogeneous firms is wiped out by switching from autarky to trade.     

Vis-à-vis vs. mixed dock door assignment: A comparison of different cross dock layouts

An important decision problem during the layout phase of a cross dock is related to the arrangement of inbound and outbound operations within a terminal. Either one side of the terminal is exclusively dedicated to inbound and the other to outbound destinations (vis-à-vis policy) or inbound and outbound destinations can facultatively be assigned all around the terminal (mix policy). The latter policy promises more flexibility, when finally assigning dock doors to truck destinations during operational planning, but comes for the price of ambiguous material flows and potential congestions inside the terminal. Both policies are compared with regard to their impact on operational planning, where deterministic, stochastic and unknown inbound loads are differentiated. Our results show the mix policy being superior in most cases except for unknown inbound loads.     

Portfolio optimization based on GARCH-EVT-Copula forecasting models

This study uses GARCH-EVT-copula and ARMA-GARCH-EVT-copula models to perform out-of-sample forecasts and simulate one-day-ahead returns for ten stock indexes. We construct optimal portfolios based on the global minimum variance (GMV), minimum conditional value-at-risk (Min-CVaR) and certainty equivalence tangency (CET) criteria, and model the dependence structure between stock market returns by employing elliptical (Student-$t$ and Gaussian) and Archimedean (Clayton, Frank and Gumbel) copulas. We analyze the performances of 288 risk modeling portfolio strategies using out-of-sample back-testing. Our main finding is that the CET portfolio, based on ARMA-GARCH-EVT-copula forecasts, outperforms the benchmark portfolio based on historical returns. The regression analyses show that GARCH-EVT forecasting models, which use Gaussian or Student-$t$ copulas, are best at reducing the portfolio risk.