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    Rights statement: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in American Journal of Agricultural Economics following peer review. The definitive publisher-authenticated version Dakshina G. De Silva, Timothy P. Hubbard, and Anita R. Schiller Entry and Exit Patterns of “Toxic” Firms Am. J. Agr. Econ. (2016) 98 (3): 881-909 first published online February 29, 2016 doi:10.1093/ajae/aaw012 is available online at: http://http://ajae.oxfordjournals.org/content/98/3/881

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Entry and exit patterns of "toxic" firms

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Entry and exit patterns of "toxic" firms. / De Silva, Dakshina Garfield; Hubbard, Timothy; Schiller, Anita.
In: American Journal of Agricultural Economics, Vol. 98, No. 3, 01.04.2016, p. 881-909.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

De Silva, DG, Hubbard, T & Schiller, A 2016, 'Entry and exit patterns of "toxic" firms', American Journal of Agricultural Economics, vol. 98, no. 3, pp. 881-909. https://doi.org/10.1093/ajae/aaw012

APA

De Silva, D. G., Hubbard, T., & Schiller, A. (2016). Entry and exit patterns of "toxic" firms. American Journal of Agricultural Economics, 98(3), 881-909. https://doi.org/10.1093/ajae/aaw012

Vancouver

De Silva DG, Hubbard T, Schiller A. Entry and exit patterns of "toxic" firms. American Journal of Agricultural Economics. 2016 Apr 1;98(3):881-909. Epub 2016 Feb 29. doi: 10.1093/ajae/aaw012

Author

De Silva, Dakshina Garfield ; Hubbard, Timothy ; Schiller, Anita. / Entry and exit patterns of "toxic" firms. In: American Journal of Agricultural Economics. 2016 ; Vol. 98, No. 3. pp. 881-909.

Bibtex

@article{144e92f131a744f7b1c40cda08292cac,
title = "Entry and exit patterns of {"}toxic{"} firms",
abstract = "We pair an establishment-level dataset from Texas with public information available in the Toxics Release Inventory (TRI) to evaluate the standing of dirty industries in Texas census tracts with a focus on environmental justice concerns. The share of nonwhite residents in a tract is positively correlated with the number of TRI-reporting firms and an inverse-U-shaped relationship characterizes the number of TRI-reporting firms and a tract's median income. Even after controlling for factor prices and other covariates which might drive firm location decisions, entrants that report to the TRI are more likely to locate in areas with a higher share of nonwhite residents. Firms that report to the TRI are also more likely to enter areas with a low share college graduates. In contrast, the number of entrants from industries which do not have TRI reporters is negatively related to the percent of nonwhite residents in a tract. Firms in these non-reporting industries are also more likely to enter areas with a high share of college graduates. Polluters appear to agglomerate, raising concerns about both chemical releases being concentrated in certain tracts and also affecting nonwhite-dense areas disproportionately. The strength of these effects often depend on an urban/rural classification, with rural areas experiencing the most pronounced concerns. Moreover, TRI-reporting firms are less likely to exit the market relative to their peers which operate in the same industry but do not need to file TRI reports, suggesting releases may affect a region in the long-run. ",
keywords = "environmental justice, environmental Kuznets curve, rm entry and exit",
author = "{De Silva}, {Dakshina Garfield} and Timothy Hubbard and Anita Schiller",
note = "This is a pre-copy-editing, author-produced PDF of an article accepted for publication in American Journal of Agricultural Economics following peer review. The definitive publisher-authenticated version Dakshina G. De Silva, Timothy P. Hubbard, and Anita R. Schiller Entry and Exit Patterns of “Toxic” Firms Am. J. Agr. Econ. (2016) 98 (3): 881-909 first published online February 29, 2016 doi:10.1093/ajae/aaw012 is available online at: http://http://ajae.oxfordjournals.org/content/98/3/881 ",
year = "2016",
month = apr,
day = "1",
doi = "10.1093/ajae/aaw012",
language = "English",
volume = "98",
pages = "881--909",
journal = "American Journal of Agricultural Economics",
issn = "0002-9092",
publisher = "Oxford University Press",
number = "3",

}

RIS

TY - JOUR

T1 - Entry and exit patterns of "toxic" firms

AU - De Silva, Dakshina Garfield

AU - Hubbard, Timothy

AU - Schiller, Anita

N1 - This is a pre-copy-editing, author-produced PDF of an article accepted for publication in American Journal of Agricultural Economics following peer review. The definitive publisher-authenticated version Dakshina G. De Silva, Timothy P. Hubbard, and Anita R. Schiller Entry and Exit Patterns of “Toxic” Firms Am. J. Agr. Econ. (2016) 98 (3): 881-909 first published online February 29, 2016 doi:10.1093/ajae/aaw012 is available online at: http://http://ajae.oxfordjournals.org/content/98/3/881

PY - 2016/4/1

Y1 - 2016/4/1

N2 - We pair an establishment-level dataset from Texas with public information available in the Toxics Release Inventory (TRI) to evaluate the standing of dirty industries in Texas census tracts with a focus on environmental justice concerns. The share of nonwhite residents in a tract is positively correlated with the number of TRI-reporting firms and an inverse-U-shaped relationship characterizes the number of TRI-reporting firms and a tract's median income. Even after controlling for factor prices and other covariates which might drive firm location decisions, entrants that report to the TRI are more likely to locate in areas with a higher share of nonwhite residents. Firms that report to the TRI are also more likely to enter areas with a low share college graduates. In contrast, the number of entrants from industries which do not have TRI reporters is negatively related to the percent of nonwhite residents in a tract. Firms in these non-reporting industries are also more likely to enter areas with a high share of college graduates. Polluters appear to agglomerate, raising concerns about both chemical releases being concentrated in certain tracts and also affecting nonwhite-dense areas disproportionately. The strength of these effects often depend on an urban/rural classification, with rural areas experiencing the most pronounced concerns. Moreover, TRI-reporting firms are less likely to exit the market relative to their peers which operate in the same industry but do not need to file TRI reports, suggesting releases may affect a region in the long-run.

AB - We pair an establishment-level dataset from Texas with public information available in the Toxics Release Inventory (TRI) to evaluate the standing of dirty industries in Texas census tracts with a focus on environmental justice concerns. The share of nonwhite residents in a tract is positively correlated with the number of TRI-reporting firms and an inverse-U-shaped relationship characterizes the number of TRI-reporting firms and a tract's median income. Even after controlling for factor prices and other covariates which might drive firm location decisions, entrants that report to the TRI are more likely to locate in areas with a higher share of nonwhite residents. Firms that report to the TRI are also more likely to enter areas with a low share college graduates. In contrast, the number of entrants from industries which do not have TRI reporters is negatively related to the percent of nonwhite residents in a tract. Firms in these non-reporting industries are also more likely to enter areas with a high share of college graduates. Polluters appear to agglomerate, raising concerns about both chemical releases being concentrated in certain tracts and also affecting nonwhite-dense areas disproportionately. The strength of these effects often depend on an urban/rural classification, with rural areas experiencing the most pronounced concerns. Moreover, TRI-reporting firms are less likely to exit the market relative to their peers which operate in the same industry but do not need to file TRI reports, suggesting releases may affect a region in the long-run.

KW - environmental justice

KW - environmental Kuznets curve

KW - rm entry and exit

U2 - 10.1093/ajae/aaw012

DO - 10.1093/ajae/aaw012

M3 - Journal article

VL - 98

SP - 881

EP - 909

JO - American Journal of Agricultural Economics

JF - American Journal of Agricultural Economics

SN - 0002-9092

IS - 3

ER -