Supply of Hunting Leases from Non-Industrial Private Forest Lands in Alabama
Bibliographic Data
| ID | 15327280 |
|---|---|
| Authors | Daowei Zhang (0000-0002-6695-7679, Auburn University, corresponding author), Anwar Hussain (0000-0001-7131-1613, Mississippi State University), James B Armstrong (Auburn University) |
| Year | 2006 |
| Volume | 11 |
| Issue | 1 |
| Pages | 1-14 |
| Publication date | 2006-02-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Human Dimensions of Wildlife (JOURNAL) |
| Journal identifiers | ISSN: 1087-1209 • E-ISSN: 1533-158X |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/10871200500470910 |
| OpenAlex | W2105337146 |
| Language | EN |
| Citations received | 16 |
| References cited | 14 |
We used a two-step approach to jointly analyze participation of non-industrial private forest landowners in hunting leases and the determinants of hunting lease fees. Data for this study were obtained from a survey of landowners in Alabama (n = 227). The results show that land ownership type, tract size, and landowners’ place of residence, employment status, and concern for personal safety are determinants of participation in hunting leases. Factors influencing hunting lease fees include site-specific characteristics such as share of agricultural land relative to forest land, tract size, year-round water availability, type of access, and enhanced features such as streamside management zone, habitat improvement desirable to wildlife, and provision of services. The study has implications for landowners’ land use decisions and economic returns
Agricultural economics · Agriculture · Business · Economics · Environmental resource management · Forest management · Geography · Land tenure · Land use · Lease · Natural resource economics · Residence · Wildlife · Conservation, Biodiversity, and Resource Management · Economic and Environmental Valuation · Forest Management and Policy · Ecology · Finance · Forestry
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| Unique citing works | 16 |
|---|---|
| Citations per year | 0,89 |
| Citation span | 2008 - 2025 (18) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 16 |