Pollution prevention practices in Oregon's electronics industry.
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| Title: | Pollution prevention practices in Oregon's electronics industry. |
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| Authors: | Jones CL (AUTHOR), Harding AK (AUTHOR) |
| Source: | Journal of Environmental Health. Jan/Feb1997, Vol. 59 Issue 6, p21-27. 7p. |
| Abstract: | The purpose of this research was to identify pollution prevention strategies that are currently being used by the electronics industry in Oregon and to assess the industry's interest in switching to less hazardous practices, A survey was distributed to 180 businesses, including all companies affiliated with the Oregon Electronics Association, and additional electronics corporations listed in Oregon phone directories. Forty-seven percent of the respondents indicated their organization had attempted substituting less hazardous compounds for those used previously, Factors influencing the movement towards cleaner practices included the desire to find safer products that work as well as current products, ethical concerns, and long term financial benefits. Common problems that discouraged the industry from changing to less hazardous practices included; (1) the new product did not function as well as the original material; (2) the respondents did not believe current practices were harmful; and, (3) initial costs were prohibitive. Representatives from within this industry are encouraged to share information about methodologies that have been successful, as well as strategies that may not have lead to intended goals; to clarify 'green' terminology for use in this industry; and to establish a reward system for recognizing those who have instituted pollution prevention strategies into their operations. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Environmental Health is the property of National Environmental Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| URL: | 9701216688 |
| Database: | Engineering Source |
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