No abstract

T he "resource-based view of the firm" has become an important conceptual framework in strategic management but has been widely criticized for lack of an empirical base. To address this deficit, we utilize a new method for identifying interfirm differences in efficiency within the context of stochastic frontier production functions. Using data on Japanese and U.S. automobile manufacturers, we develop measures of resources and capabilities and test for linkages with firm performance. The results show the influence of manufacturing proficiency and scale economies at the firm and plant level. We apply the parameter estimates to account for Toyota's superior efficiency relative to other producers.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: So far, the literature on dynamic stochastic general equilibrium models with energy price shocks uses energy on the production side only. In these models, energy shocks are responsible for only a negligible share of output fluctuations. We study the robustness of this finding by explicitly modeling private consumption of energy at the household level in addition to energy use at the firm level to account for total energy use in the economy. Additionally, we distinguish between investment in consumer durables and investment in capital goods. The model economy is calibrated to match total energy use and durable goods consumption as observed in the U.S. data. Simulation results indicate that, despite higher total energy use, this economy has an even smaller proportion of output fluctuations attributable to energy price shocks. Productivity shocks continue to be the primary force behind business cycle fluctuations. The driving force behind our results is that the household now has the flexibility to rebalance its investment portfolio. Specifically, the energy price hike is absorbed by reducing durable goods investment more than investment in capital goods, thereby cushioning the hit to future production at the expense of current consumption. Hence, our model better matches the consumption volatility observed in the data. Terms of use: Documents inJEL classification: E32, Q43

T he "resource-based view of the firm" has become an important conceptual framework in strategic management but has been widely criticized for lack of an empirical base. To address this deficit, we utilize a new method for identifying interfirm differences in efficiency within the context of stochastic frontier production functions. Using data on Japanese and U.S. automobile manufacturers, we develop measures of resources and capabilities and test for linkages with firm performance. The results show the influence of manufacturing proficiency and scale economies at the firm and plant level. We apply the parameter estimates to account for Toyota's superior efficiency relative to other producers.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: So far, the literature on dynamic stochastic general equilibrium models with energy price shocks uses energy on the production side only. In these models, energy shocks are responsible for only a negligible share of output fluctuations. We study the robustness of this finding by explicitly modeling private consumption of energy at the household level in addition to energy use at the firm level to account for total energy use in the economy. Additionally, we distinguish between investment in consumer durables and investment in capital goods. The model economy is calibrated to match total energy use and durable goods consumption as observed in the U.S. data. Simulation results indicate that, despite higher total energy use, this economy has an even smaller proportion of output fluctuations attributable to energy price shocks. Productivity shocks continue to be the primary force behind business cycle fluctuations. The driving force behind our results is that the household now has the flexibility to rebalance its investment portfolio. Specifically, the energy price hike is absorbed by reducing durable goods investment more than investment in capital goods, thereby cushioning the hit to future production at the expense of current consumption. Hence, our model better matches the consumption volatility observed in the data. Terms of use: Documents inJEL classification: E32, Q43