High-growth, young businesses have received increased attention in the research and policy sphere because of their job creation potential. However, relatively less attention has focused on the effects of high growth on firm survival and its implications for job creation and destruction dynamics. This paper analyzes the effect of high employment growth on the survival of new establishments and the survival patterns of high-growth firms in the U.S. State of Georgia. We use the National Establishment Time-Series (NETS) data to examine the new establishments that started between 1990 and 1999 and trace their employment dynamics through 2008. We analyze how early-stage employment growth impacts the survival rate of these establishments. Our analysis provides evidence that high employment growth early in their life cycle significantly reduces the likelihood of subsequent failure.

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Summary Electronic waste (e‐waste) recycling is a critical sector for sustainable urban industrial systems. U.S. residents and businesses generate an estimated 3.2 million tons of electronic waste each year; most is not recycled and is generated in urban areas. However, adoption of state environmental regulations for e‐waste recycling is increasing. Between 2003 and mid‐2011, 25 states passed e‐waste laws. There are a growing number of e‐waste collectors and certified processors in U.S. urban areas. While the landscape of e‐waste recycling is changing, there is little analysis on the economic impacts of this industry. The research presented here synthesizes e‐waste management policy developments and growth of the e‐waste recycling industry. We present an economic impact analysis at the metropolitan level through constructing an extended input‐output (IO) model that specifies an e‐waste recycling sector. In a case study, we examine changes in e‐waste recycling activities in the Seattle metropolitan area and provide simulation results of new regional economic impacts.

This article reports the authors’ efforts to construct a baseline input—output (IO) model with environmental accounts for use in modeling geographically specific e-waste recycling systems. The authors address conceptual and practical issues that arise when recyclable end-of-life (EOL) commodities and related activities are incorporated into the traditional IO model including: (1) shortcomings of existing industry and commodity accounts that do not explicitly represent recycling activities and recyclable EOL products; (2) accounting challenges related to flows of EOL products observed mainly in physical volumes; and (3) valuing EOL products whose transactions prices vary widely. These three issues complicate the incorporation of EOL commodities within the conventional IO framework. The authors present a way to record the transactions of EOL products in both physical and monetary terms in an IO model with environmental accounts. Specifically, the authors present the case of e-waste recycling for the Atlanta metropolitan area (AMA) with an empirically based hypothetical scenario.

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. www.econstor.eu Abstract: This paper reports the results of a study of the characteristics and direct employment impact of high-growth firms operating in Georgia. The longitudinal data used in this study are from the National Establishment Time-Series (NETS) database. Using a standard definition of high employment growth to classify firms, we track the direct employment contribution of high-growth firms in the state from 1989 to 2009. We find that only a small fraction of firms satisfied the high-growth employment criteria in any year, but these rapidly growing firms made a disproportionately large contribution to overall job creation in the state. We discover that, as has been found for the United States as a whole, the number of high-growth firms and their average job creation has declined during last decade. We also find that the incidence of high growth and the resulting job creation differ significantly according to size, age, industry, type of organizational structure, and ownership as well as location. A separate analysis focusing on firms with rapid sales revenue growth reveals that firms with fast-growing revenue-are not necessarily firms with fast-growing employment. Terms of use: Documents inJEL classification: R11, R12