MFL Landowners #5: Past Timber Harvest Experience & Satisfaction

 This is the fifth in a series of posts on findings from a study of Managed Forest Law (MFL) participants. For other posts, click the tag, "MFL-stats." If you'd like to receive an e-mail when new posts are available, please contact me. Over half of all those surveyed had harvested timber in the past. Those in the largest landholding size category* were more likely to have done so in the past (> 80%). For those who had harvested, nearly two-third of the harvests were MFL mandatory practices. Chart of Satisfaction with Past Harvest Experience by Ownership Size Category We then ask respondent to assess their harvest experiences on three dimensions: financial return, post-harvest conditions, and their control over the sale. For all three, respondents' satisfaction scores** were positive, but not overwhelmingly so. Satisfaction appears to increase slightly with landholding size category, but I have yet to test this statistically. Moreover, satisfaction levels for the three dimensions spans the full range (i.e., “extremely dissatisfied” to “extremely satisfied”). Analyzing respondents' experiences might yield some additional insights. *The study design relies on a sampling from three ownership size categories within the MFL: small (10-80 ac), medium (81-160 ac), and large (161-640 ac). **Satisfaction was measured on a 7-point scale (-3 = "Extremely dissatisfied", -2 = "Very dissatisfied", -1 = "Somewhat dissatisfied", 0 = "Neither", 1 = "Somewhat satisfied", 2 = "Very satisfied", and 3 = "Extremely satisfied").

NIFA temp logoThis project was supported by the Agriculture and Food Research Initiative of the National Institute of Food and Agriculture, USDA, Grant #2006-55618-17022.

timber sale satisfaction

more interesting results... any relationship between "mandatory" and satisfaction level? i.e., if people were made to harvest, were they more likely to be less satisfied?


rather than plot what appears to be mean satisfaction level by ownership size, by the three dimensions of satisfaction, how about showing the full distribution of satisfaction responses, so we can see them spanning the full range.

this continues to be interesting stuff..

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