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Environmental performance spillovers among Mexican industrial facilities: The case of greenhouse gases

  • Ana R. Leal(corresponding author)
    ,
  • Bryan W. Husted
    ,
  • Miguel Alejandro Flores Segovia
*Corresponding author for this work
Research Output:
Contribution to journal
Article
Peer-review

Publication metrics

Metrics

Scopus
Citations
SciVal
Citations
4
SciVal
FWCI
0.08
SciVal
Author count
3
SciVal
Paper percentile
24

Abstract

Although explanations of environmental performance in management include a geographical dimension (Buysse & Verbeke, 2003; Hart, 1995; Joy & Bansal, 2003; Sharma & Henriques, 2005; Shrivastava, 1995), this dimension has been underdeveloped in management research. In this paper, we use the theoretical lens of agglomeration economies to explain how a facility's location generates environmental performance spillovers for nearby facilities. In order to do so, geographically weighted regressions were used to study spillovers at the facility level at two different spatial scales (intra-urban and metropolitan spatial scales). Even though several theories can help to explain spillovers, agglomeration economies supply some of the precise mechanisms through which such spillovers occur at different spatial scales. Evidence suggests that environmental performance spillovers can be found in Mexican facilities at both spatial scales when environmental performance is measured as greenhouse gases.

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 711-720 (10 pages)

Journal (Volume, Issue Number)

Journal of Business Research (Volume 135)

Publication milestones

  • Published - 10/2021

Publication status

Published - 10/2021

ISSN

0148-2963

Publication IDs

  • Scopus: 85110192936

Funding Details

We thank our colleagues Araceli Ortega from Escuela de Gobierno y Transformación Pública, and Ivan Montiel from Baruch College who provided great insights that assisted the research. We would like to show our special gratitude to Dr. Denis Aigner for sharing his wisdom during the course of the research and for his assistance with the conceptualization of the paper, the methodology and for comments that greatly improved the manuscript.