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| Albers, Heidi J.; Ando, Amy Whritenour. |
| Few economic analyses examine land trusts, their decisions, and the land-trust "industry," despite their growing importance. For example, statistics on the wide variation in the number of trusts in different regions of the United States raise questions about whether such variation makes economic sense. This paper builds a model to identify the optimal number of private conservation agents. The model depicts two competing forces: regional spatial externalities in conservation benefits that increase the efficiency of having fewer agents and organizational costs, and fund-raising specialization, which increases the efficiency of having more agents. Using state-level variables, we perform a count-data analysis of the number of trusts conserving land in each... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Land trusts; Public goods; Organizational size; Conservation benefits; U.S. land conservation; Land Economics/Use. |
| Ano: 2001 |
URL: http://purl.umn.edu/10873 |
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| Albers, Heidi J.. |
| This paper discusses the application of a spatial-intertemporal model for tropical forest management to Khao Yai National Park in Thailand. This type of model, especially the spatial components, finds different optimal land allocations than do traditional models at empirically relevant levels of benefits. The spatial analysis here suggests that most of this park can be best used as a preserved area and also provides support for expanding the park into an adjacent unpopulated area. The analysis demonstrates that the park's benefits to regional agriculture and villagers are large enough that preservation can proceed without international support, and that local people, as a group, have incentives to maintain most of the area as preserved land. Although the... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Parks; Protected areas; People-park conflict; Spatial; Biodiversity; Option value; Resource /Energy Economics and Policy; Q2; Q15; O13. |
| Ano: 2001 |
URL: http://purl.umn.edu/10751 |
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| Konoshima, Masashi; Montgomery, Claire A.; Albers, Heidi J.; Arthur, Jeffrey L.. |
| This paper integrates a spatial fire behavior model and a stochastic dynamic optimization model to determine the optimal spatial pattern of fuel management and timber harvest. Each years fire season causes the loss of forest values and lives in the western US. This paper uses a multi-plot analysis and incorporates uncertainty about fire ignition locations and weather conditions to inform policy by examining the role of spatial endogenous risk - where management actions on one stand affect fire risk in that and adjacent stands. The results support two current strategies, but question two other strategies, for managing forests with fire risk. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Resource /Energy Economics and Policy. |
| Ano: 2007 |
URL: http://purl.umn.edu/9700 |
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| Blackman, Allen; Albers, Heidi J.; Sartorio, Beatriz Avalos; Crooks, Lisa. |
| Managed forest ecosystems-agroforestry systems in which crops such as coffee and bananas are planted side-by-side with woody perennials-are being touted as a means of safeguarding forests along with the ecological services they provide. Yet we know little about the determinants of land cover in such systems, information needed to design effective forest conservation policies. This paper presents a first-ever spatial regression analysis of land cover in a managed forest ecosystem-a shade coffee region of coastal Mexico. Using high-resolution land cover data derived from aerial photographs, along with data on the institutional, geophysical, socioeconomic, and agronomic characteristics of the study area, we find that plots in close proximity to urban centers... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Deforestation; Managed forest ecosystem; Agroforestry; Shade-grown coffee; Mexico; Spatial econometrics; Land cover; Resource /Energy Economics and Policy; O13; Q15; Q23. |
| Ano: 2003 |
URL: http://purl.umn.edu/10493 |
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| Blackman, Allen; Albers, Heidi J.; Avalos-Sartorio, Beatriz; Crooks, Lisa. |
| More than three-quarters of Mexico's coffee is grown on small plots shaded by the existing forest. Because they preserve forest cover, shade coffee farms provide vital ecological services including harboring biodiversity and preventing soil erosion. Unfortunately, tree cover in Mexico's shade coffee areas is increasingly being cleared to make way for subsistence agriculture, a direct result of the unprecedented decline of international coffee prices over the past decade. This paper summarizes the key findings of a three-year study of deforestation in Oaxaca, one of Mexico's prime regions for growing shade coffee. First, we find that deforestation during the 1990s was significant. Second, the loss of tree cover can likely be slowed by promoting... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Deforestation; Agroforestry; Shade-grown coffee; Mexico; Land cover; Resource /Energy Economics and Policy; O13; Q15; Q23. |
| Ano: 2005 |
URL: http://purl.umn.edu/10799 |
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| Batz, Michael B.; Albers, Heidi J.; Avalos-Sartorio, Beatriz; Blackman, Allen. |
| Shade-grown coffee provides a livelihood to many farmers, protects biodiversity, and creates environmental services. Many shade-coffee farmers have abandoned production in recent years, however, in response to declines in international coffee prices. This paper builds a farmer decision model under price uncertainty and uses simulation analysis of that model to examine the likely impact of various policies on abandonment of shade-coffee plantations. Using information from coastal Oaxaca, Mexico, this paper examines the role of various constraints in abandonment decisions, reveals the importance of the timing of policies, and characterizes the current situation in the study region. |
| Tipo: Working or Discussion Paper |
Palavras-chave: Coffee farming; Decision analysis; Numerical modeling; Monte Carlo; Price variability; Crop Production/Industries; O13; Q17; Q12; Q23; Q24. |
| Ano: 2005 |
URL: http://purl.umn.edu/10511 |
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