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Hidden Benefits of End-of-Pipe Waste Treatment Nilanjana Dutt & Andrew King Duke University & Tuck School of Business Alliance for Research on Corporate Sustainability May 11, 2011 My Research Organizational Search How firms


  1. Hidden Benefits of End-of-Pipe Waste Treatment Nilanjana Dutt & Andrew King Duke University & Tuck School of Business Alliance for Research on Corporate Sustainability May 11, 2011

  2. My Research • Organizational Search – How firms decide where to search for information i.e. search space • Utility companies expanding into renewable electricity – Survey combined with archival data

  3. Connection to this Research • Organizational Search – How firms decide where to search for information? – What affects selection + use of information? • organizational conditions • accidents and spills

  4. Our goals for this talk • Are we correctly characterizing previous research? • How can we strengthen the analysis? • Endogeneity threats? • How can we strengthen the conclusions?

  5. Waste Management 1 Process On site EoP 2 (energy, recycle, treat) 3 Off site

  6. Conceptual Context • Incentives: – Lower incentives for waste reduction as employees can always manage waste at end  considered bad for waste reduction (DeCanio, 1993) • Information: – Problem and analysis separated in time, space, and person. (MacDuffie, 1995) But where is the empirical evidence??

  7. Conceptual Context • Failure is an opportunity to improve (Levitt & March 1988, Haunschild et al. 2002, Baum et al. 2007) – Failure directs attention to problem  provides feedback to improve – Different organizational conditions lead to different amounts of improvement (Sitkin1992) How do the three waste management options stack up?

  8. Hypothesis • Environmental Management wisdom – Lack of incentives impedes waste reduction  On site EoP reduces waste reduction • Organizational Learning wisdom – Feedback increases waste reduction  On site EoP increases waste reduction H1: the greater the presence of on-site end of pipe, the greater the waste reduction

  9. Data and Method

  10. Data and Measures • Unbalanced longitudinal panel from 1992-2004 (27,503 facilities constituting 581,902 facility year obs.) – Use EPA’s Toxic Release Inventory at the chemical level – FE at the chemical-facility level; cluster at facility level • DV: improvement: approximately percentage change in waste reduction [(log waste (year t +1)/ log waste(year t))*100] • IV: spill: 0,1 dummy; waste mgmt: dummy measuring two types of waste processing (base case is no management) • Controls: size, age, growth, time since last spill, tenure of officers, EMS certification, time, chemical, facility dummies

  11. What We Expect Pre accident dummies Post accident dummies

  12. Rates of Improvement Year to year improvement: • Facilities with no treatment are increasing waste 6.65%/year • Those with on site treatment are reducing waste by 7.2%/year • Those with off site treatment are reducing waste by 8.27%/year Failure based improvement: • No improvement for no treatment; off site treatment • Significant improvement for on site EoP

  13. Changes Following Accidents

  14. Problems • Endogenity about choice of treatment – Not likely to be an issue based on interviews – Need to create matched sample • Addressed problems – Regression to the mean – Unobserved intention to improve – Within plant effect

  15. Implications • Incentives are important for learning but may be less so than feedback • Firms should choose waste treatment based on: – Need for learning and improvement – Occurrence of failure – Costs of On site EoP vs. Costs of failure?

  16. Questions?

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