IDEAS home Printed from https://ideas.repec.org/p/ags/nccewp/264974.html
   My bibliography  Save this paper

Voluntary programs to encourage refuges for pesticide resistance management: lessons from a quasi-experiment

Author

Listed:
  • Brown, Zachary S.

Abstract

Economists often treat pesticide resistance as a common-pool resource problem. While pecuniary economic incentives are the standard prescription for open-access market failures arising with such resources, non-pecuniary behavioral approaches are also effective in some cases. Yet non-pecuniary instruments have not previously been evaluated for managing pesticide resistance. I empirically evaluate the performance of such an intervention to manage pest resistance to genetically engineered Bacillus thuringiensis (Bt) corn. Regulations by the US Environmental Protection Agency mandate refuges to delay the evolution of Bt resistance. To satisfy Bt product permitting requirements with the EPA, the agricultural company Monsanto piloted a social marketing program to promote refuge in 17 North Carolina counties in 2013-2014. Using seed sales data from 2013 to 2016 for the whole of North Carolina, I estimate multiple econometric models, including linear difference-in-differences (DID), fractional DID, discrete changes-in-changes, and matching to identify the average treatment effect (ATE) of the program on growers’ refuge planting decisions. Results suggest that if it had covered all corn growers in North Carolina, the intervention would have led the average grower to plant between 2.6% and 5.8% (depending on model) more refuge in the 2014 season immediately following the program, than would have been the case without the program. The ATE roughly halves in 2015 and vanishes by 2016. Econometric analysis suggests the program increased by 12% the average probability of planting any refuge in 2014. Evidence is mixed for effects of the intervention on grower compliance with mandated refuge thresholds. Informed by behavioral economics research on other environmental and resource policies, I discuss the implications of these findings for pesticide resistance management.

Suggested Citation

Handle: RePEc:ags:nccewp:264974
DOI: 10.22004/ag.econ.264974
as

Download full text from publisher

File URL: https://ageconsearch.umn.edu/record/264974/files/WP-2017-015-1.pdf
Download Restriction: no

File URL: https://ageconsearch.umn.edu/record/264974/files/WP-2017-015-1.pdf?subformat=pdfa
Download Restriction: no

File URL: https://libkey.io/10.22004/ag.econ.264974?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

Environmental Economics and Policy;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:nccewp:264974. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/dancsus.html .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.