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Effects of air quality regulation on the destination choice of relocating plants

  • John A. List
  • W. Warren McHone
  • Daniel L. Millimet

Whether lax environmental regulations are an important attraction for mobile capital remains one of the most controversial issues in the area of regulatory federalism. While the extant literature does a nice job of estimating the effects of environmental regulation on the spatial allocation of new plant births, one neglected area of research is the effect that environmental regulation has on plant relocation decisions. This paper uses an annual (1980--90) county level panel data set to examine the relationship between air quality regulatory stringency and the destination choice of relocating plants. We estimate empirical models using both parametric and semi-nonparametric specifications. Empirical results from both models suggest that air quality regulations alter significantly the destination choices of relocating plants. Copyright 2003, Oxford University Press.

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Article provided by Oxford University Press in its journal Oxford Economic Papers.

Volume (Year): 55 (2003)
Issue (Month): 4 (October)
Pages: 657-678

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Handle: RePEc:oup:oxecpp:v:55:y:2003:i:4:p:657-678
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  1. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-38, July.
  2. John Mullahy, 1997. "Instrumental-Variable Estimation Of Count Data Models: Applications To Models Of Cigarette Smoking Behavior," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 586-593, November.
  3. Tim Jeppesen & John A. List & Henk Folmer, 2002. "Environmental Regulations and New Plant Location Decisions: Evidence from a Meta-Analysis," Journal of Regional Science, Wiley Blackwell, vol. 42(1), pages 19-49.
  4. John A. List, 2001. "Do Explicit Warnings Eliminate the Hypothetical Bias in Elicitation Procedures? Evidence from Field Auctions for Sportscards," American Economic Review, American Economic Association, vol. 91(5), pages 1498-1507, December.
  5. Frank Windmeijer & Joao Santos Silva, 1996. "Endogeneity in count data models; an application to demand for health care," IFS Working Papers W96/15, Institute for Fiscal Studies.
  6. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
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