Asset accumulation,interdependence and technological change: evidence from pharmaceutical drug discovery

Although the resource‐based view of the firm has been written about extensively, the process by which firm assets are accumulated has not been explored in detail. That is, we know little about the micro‐level mechanisms by which assets are built, nor do we have sufficient empirical evidence why some assets are more difficult to imitate, trade, or substitute. In this exploratory paper, we attempt to provide a better understanding of asset accumulation via an empirical research program in pharmaceutical drug discovery. Using a combination of field research, discovery data from nine pharmaceutical firms, and data on 218 alliances involving new technologies for experimentation and testing, three causes affecting asset accumulation are identified and described. First, the difficulty of imitating a particular asset is affected by interdependencies with other assets. Second, trading of assets can be impeded by structural inertia in the core of a firm that is adopting the technology asset. And third, fully specifying all factors affecting imitation and trading ex ante is very difficult, if not nearly impossible, under conditions of rapid technological change. We propose that the complex interactions of these causes can give rise to imperfections in factor markets. Finally, implications for further research are discussed as well. Copyright © 2002 John Wiley & Sons, Ltd.     

Increasing the price variation in a repeated cross section

Insufficient price variation seriously hampers many applications of consumer demand models. This paper examines the empirical performance of a potential remedy for this problem that was suggested by [Lewbel, A., 1989. Identification and estimation of equivalence scales under weak separability. Review of Economic Studies 56, 311–316], the construction of individual specific price indices for bundles of goods. These individual specific price indices allow for a population with heterogeneity in preferences for goods within a given bundle of goods. We confine ourselves to heterogeneous Cobb Douglas within bundle preferences, while between bundles, we allow for several parametric and even general nonparametric specifications. In a variety of settings, we show that such prices produce superior empirical results than the ones obtained through the traditional practice of using aggregate price indices. Our empirical analysis is based on the British Family Expenditure Survey data, and uses several categories of food. Both in parametric as well as nonparametric models, we obtain higher precision of estimates for parameters or functions, as well as economically more plausible results.     

Industry evolution and R&D externalities

R&D externalities can imply ranges of aggregate increasing returns to scale in R&D. As a consequence several equilibria can exist involving different numbers of firms and different R&D investment levels. In a theoretical model the equilibrium dynamics are analyzed, showing that cyclical fluctuations of the number of firms and R&D investment may be expected, and that the long-run equilibrium is highly sensitive to investors' initial beliefs. The model is tested empirically using a unique database comprising competing firms in various R&D races.     

Structural measurement errors in nonseparable models

This paper considers measurement error from a new perspective. In surveys, response errors are often caused by the fact that respondents recall past events and quantities imperfectly. We explore the consequences of limited recall for the identification of marginal effects. Our identification approach is entirely nonparametric, using Matzkin-type nonseparable models that nest a large class of potential structural models. We show that measurement error due to limited recall will generally exhibit nonstandard behavior, in particular be nonclassical and differential, even for left-hand side variables in linear models. We establish that information reduction by individuals is the critical issue for the severity of recall measurement error. In order to detect information reduction, we propose a nonparametric test statistic. Finally, we propose bounds to address identification problems resulting from recall errors. We illustrate our theoretical findings using real-world data on food consumption.     

Stakeholder management in sustainable supply chains: A case study of the bioenergy industry

Engaging with stakeholders and managing their issues when striving for a sustainable supply chain (SC) is a significant challenge. Although most studies on sustainable supply chain management (SSCM) consider stakeholder management necessary, little is known about related stakeholder management practices in SSCM. Thus, this paper seeks to enrich the theoretical debate on stakeholder management practices in SSCM through a case study approach to bioenergy SCs in Chile. Based on 28 interviews with SC actors and representatives from the surrounding stakeholder environment, the deductive–inductive analysis reveals that stakeholder management combines different practices to discuss stakeholder concerns, address them, and evaluate the process at the SC's external and internal levels. We propose structuring these practices based on two dimensions: “practices to address stakeholder requirements” and “practices whereby stakeholders are integrated.” The analysis' results indicate that although two-way communication with stakeholders can be seen as the core of stakeholder management, a certain willingness to learn and transform SC design is a prerequisite for true orientation toward stakeholder management in SSCM. Additionally, linkage development and local anchoring are practices used to obtain further legitimacy at the external level. Building on these findings, this study can guide practitioners in engaging with stakeholders and managing their issues across the SC.     

减少汽车业的浪费

汽车制造商和零件供应商可以节省巨大开支，但前提是双方要更为紧密地合作在一起麦肯锡的研究表明，北美汽车业每年在产品开发和组装过程中由于汽车生产商与供应商缺乏良好的计划和协调不当，造成了超过100亿美元的浪费。事实上．这只是较为保守的估算。因为我们的研究仅涵盖了供应商发生的成本，如：附加设计、生产工具最后改型和零件自身的附加成本。这还不包括因设计问题生产商需额外支付的改型费用、生产问题引发的车辆最终成本的增加或质保支出。这几项每年给汽车行业带来的浪费约为120亿美元。     

Structural production layer decomposition: a new method to measure differences between MRIO databases for footprint assessments

Recent empirical assessments revealed that footprint indicators calculated with various multi-regional input–output (MRIO) databases deliver deviating results. In this paper, we propose a new method, called structural production layer decomposition (SPLD), which complements existing structural decomposition approaches. SPLD enables differentiating between effects stemming from specific parts in the technology matrix, e.g. trade blocks vs. domestic blocks, while still allowing to link the various effects to the total region footprint. Using the carbon footprint of the EU-28 in 2011 as an example, we analyse the differences between EXIOBASE, Eora, GTAP and WIOD. Identical environmental data are used across all MRIO databases. In all model comparisons, variations in domestic blocks have a more significant impact on the carbon footprint than variations in trade blocks. The results provide a wealth of information for MRIO developers and are relevant for policy makers designing climate policy measures targeted to specific stages along product supply chains.     

The Effect of Employment while in High School on Educational Attainment: A Conditional Difference‐in‐Differences Approach*

Using American panel data from the National Education Longitudinal Study of 1988, this article investigates the effect of working during grade 12 on attainment. We employ, for the first time in the related literature, a semiparametric propensity score matching approach combined with difference‐in‐differences. We address selection on both observables and unobservables associated with part‐time work decisions, without the need for instrumental variable. Once such factors are controlled for, little to no effects on reading and math scores are found. Overall, our results therefore suggest a negligible academic cost from part‐time working by the end of high school.