Evan Hjerpe
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Evan Hjerpe has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Anne Mottek Lucas
Mottek Consulting , Flagstaff, AZ , USA
1 shared publication Anwar Hussain
Conservation Economics Institute, Twin Falls, ID, USA
1 shared publication- Anwar Hussain1 shared publication
Eric White
Pacific Northwest Research Station, U.S. Forest Service, Olympia, Washington, USA
1 shared publicationHenry Eichman
US Forest Service, Ecosystem Management Coordination , Duluth, MN , USA
1 shared publicationThomas Holmes
U.S. Forest Service, Southern Research Station, Asheville, NC, USA
1 shared publication
Latest Publications
- Open Access
- 7 May 2021
- Published by Springer Nature in Journal of Forestry
- Vol. 119 (5) , 439-453
Modeling Regional Economic Contributions of Forest Restoration: A Case Study of the Four Forest Restoration Initiative
Forest restoration positively affects rural economies by facilitating employment and income generation with logging, wood utilization, and other restoration activities. To investigate economic effects and modeling of forest restoration, a regional contribution analysis of the Four Forest Restoration Initiative (4FRI) in Arizona was conducted. With over 12,000 acres mechanically thinned in 2017, 4FRI treatments led to the processing of 400,000 green tons of sawlogs and biomass. Restoration activities spurred more than 900 full-time equivalent jobs in the region, $50 million in regional labor income, and affected over 140 different industry sectors in the region. When compared to the US Forest Service Treatments for Restoration Economic Analysis Tool model estimates for 4FRI economic contributions, we found that using primary data from 4FRI contractors provided more conservative results. Primary considerations for modeling forest restoration contributions include contractor surveys, appropriate investigation of the regional context, methodological transparency in bridging restoration expenditures to input-output models, and consideration of how to enhance restoration contributions.
- 7 May 2021
- Published by Springer Nature in Journal of Forestry
- Vol. 119 (5) , 439-453
Open AccessModeling Regional Economic Contributions of Forest Restoration: A Case Study of the Four Forest Restoration Initiative
Forest restoration positively affects rural economies by facilitating employment and income generation with logging, wood utilization, and other restoration activities. To investigate economic effects and modeling of forest restoration, a regional contribution analysis of the Four Forest Restoration Initiative (4FRI) in Arizona was conducted. With over 12,000 acres mechanically thinned in 2017, 4FRI treatments led to the processing of 400,000 green tons of sawlogs and biomass. Restoration activities spurred more than 900 full-time equivalent jobs in the region, $50 million in regional labor income, and affected over 140 different industry sectors in the region. When compared to the US Forest Service Treatments for Restoration Economic Analysis Tool model estimates for 4FRI economic contributions, we found that using primary data from 4FRI contractors provided more conservative results. Primary considerations for modeling forest restoration contributions include contractor surveys, appropriate investigation of the regional context, methodological transparency in bridging restoration expenditures to input-output models, and consideration of how to enhance restoration contributions.
- 27 April 2020
- Published by Springer Nature in Environmental Management
- Vol. 66 (1) , 56-71
Amenity Migration and Public Lands: Rise of the Protected Areas
Rural amenity migration, or the relocation for quality of life purposes as opposed to monetary enhancement, has been occurring for decades and has been particularly pronounced in the American West where the phenomenon peaked in the 1990s. Researchers have illustrated that some places are more attractive for migrants than others and that certain regional amenities hold considerable influence on where migrants relocate. Increased migration levels typically result in increased economic growth indicators, making amenity migration an attractive rural development strategy. But comprehensive econometric analysis focused on amenity migration in the American West has been lacking. To address this, we conducted an econometric analysis of attributes that influenced migration to rural Western counties from 1980 to 2010. Over 20 potential amenity supply categories were collated for 356 rural counties from 11 Western states, with a focus on public lands. Descriptive statistics and OLS regressions were estimated and interpreted. Traditional amenities of climate, water area, and regional access were highly associated with migration levels, while designated natural amenities of Wilderness and National Monuments were the most influential public lands for migration to rural Western counties. Farming and oil and gas dependency were negatively associated with migration levels. Increasing the amount of protected areas, and branding campaigns based on natural amenities, can be a critical development strategy for rural communities.
- 27 April 2020
- Published by Springer Nature in Environmental Management
- Vol. 66 (1) , 56-71
Amenity Migration and Public Lands: Rise of the Protected Areas
Rural amenity migration, or the relocation for quality of life purposes as opposed to monetary enhancement, has been occurring for decades and has been particularly pronounced in the American West where the phenomenon peaked in the 1990s. Researchers have illustrated that some places are more attractive for migrants than others and that certain regional amenities hold considerable influence on where migrants relocate. Increased migration levels typically result in increased economic growth indicators, making amenity migration an attractive rural development strategy. But comprehensive econometric analysis focused on amenity migration in the American West has been lacking. To address this, we conducted an econometric analysis of attributes that influenced migration to rural Western counties from 1980 to 2010. Over 20 potential amenity supply categories were collated for 356 rural counties from 11 Western states, with a focus on public lands. Descriptive statistics and OLS regressions were estimated and interpreted. Traditional amenities of climate, water area, and regional access were highly associated with migration levels, while designated natural amenities of Wilderness and National Monuments were the most influential public lands for migration to rural Western counties. Farming and oil and gas dependency were negatively associated with migration levels. Increasing the amount of protected areas, and branding campaigns based on natural amenities, can be a critical development strategy for rural communities.
- 13 July 2016
- Published by Taylor & Francis in Society & Natural Resources
- Vol. 30 (3) , 265-280
National and Community Market Contributions of Wilderness
Wilderness attracts tourists and generates visitor spending in proximate communities as people enjoy Wilderness for outdoor recreation. Wilderness also attracts amenity migrants and out-of-region investments into surrounding regional economies. To investigate the amount and types of employment and income generated by Wilderness visitation, we conducted an economic contribution analysis of aggregate national visitor expenditures. The U.S. Forest Service National Visitor Use and Monitoring (NVUM) economic spending profiles were used to construct types and amounts of Wilderness visitor spending and were applied to an estimated 9.9 million annual visitors across federal agencies. IMPLAN modeling software was used to estimate total effects and multipliers for output, employment, income, and value added. Results show that some $500 million is annually spent in communities adjacent to Wilderness, generating a direct effect of 5,700 jobs and a total output effect over $700 million across numerous industries ($2012 including indirect and induced effects).
- 13 July 2016
- Published by Taylor & Francis in Society & Natural Resources
- Vol. 30 (3) , 265-280
National and Community Market Contributions of Wilderness
Wilderness attracts tourists and generates visitor spending in proximate communities as people enjoy Wilderness for outdoor recreation. Wilderness also attracts amenity migrants and out-of-region investments into surrounding regional economies. To investigate the amount and types of employment and income generated by Wilderness visitation, we conducted an economic contribution analysis of aggregate national visitor expenditures. The U.S. Forest Service National Visitor Use and Monitoring (NVUM) economic spending profiles were used to construct types and amounts of Wilderness visitor spending and were applied to an estimated 9.9 million annual visitors across federal agencies. IMPLAN modeling software was used to estimate total effects and multipliers for output, employment, income, and value added. Results show that some $500 million is annually spent in communities adjacent to Wilderness, generating a direct effect of 5,700 jobs and a total output effect over $700 million across numerous industries ($2012 including indirect and induced effects).
- Open Access
- 1 January 2016
- Published by Resilience Alliance, Inc. in Ecology and Society
- Vol. 21 (2)
Willingness to pay for ecosystem conservation in Alaska’s Tongass National Forest: a choice modeling study
Hjerpe, E. E., and A. Hussain. 2016. Willingness to pay for ecosystem conservation in Alaska’s Tongass National Forest: a choice modeling study. Ecology and Society 21(2):8.http://dx.doi.org/10.5751/ES-08122-210208
- 1 January 2016
- Published by Resilience Alliance, Inc. in Ecology and Society
- Vol. 21 (2)
Open AccessWillingness to pay for ecosystem conservation in Alaska’s Tongass National Forest: a choice modeling study
Hjerpe, E. E., and A. Hussain. 2016. Willingness to pay for ecosystem conservation in Alaska’s Tongass National Forest: a choice modeling study. Ecology and Society 21(2):8.http://dx.doi.org/10.5751/ES-08122-210208