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| Kaza, Nikhil; Towe, Charles A.; Ye, Xin. |
| The need for models that forecast land use change spans many disciplines and encompasses many approaches. Pattern-based models were the first in which projections of change at specific locations in actual landscapes could be predicted. In contrast, recent economic models have modeled the underlying behavioral process that produces land use change. This paper combines attributes from each approach into a hybrid model using a multiple discrete continuous extreme value formulation that allows for multiple conversion types, while also estimating the intensity of each type of conversion, which is an important but often overlooked dimension. We demonstrate the simulation routine, which successfully predicts a majority of growth by type, time, and location at a... |
| Tipo: Article |
Palavras-chave: MDCEV; Land conversion; Regional planning; Urban growth policy; Land Economics/Use. |
| Ano: 2011 |
URL: http://purl.umn.edu/120447 |
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| Towe, Charles A.; Nickerson, Cynthia J.; Bockstael, Nancy E.. |
| Many studies have examined the effects of land use regulations on land prices and urban spatial form. Increasingly, jurisdictions have adopted incentive based mechanisms, such as purchase of development rights (PDR) programs, to manage the pace and pattern of urban growth and the conversion of agricultural land. PDR programs provide a third option to landowners in urbanizing areas: in addition to deciding whether to develop or not, landowners can decide whether to preserve their land. To our knowledge no studies have explored how the existence of an option to participate in a PDR program affects landowners' development decisions. This research provides empirical evidence of a previously untested prediction of real options theory: that additional... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Agricultural preservation programs; Real options; Land conversion; Land Economics/Use. |
| Ano: 2005 |
URL: http://purl.umn.edu/19125 |
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| Nelson, Gerald C; University of Illinois; gnelson@uiuc.edu; Bennett, Elena; McGill University;; Berhe, Asmeret A; University of California at Berkeley;; Cassman, Kenneth; University of Nebraska;; DeFries, Ruth; University of Maryland;; Dietz, Thomas; Michigan State University;; Dobermann, Achim; University of Nebraska;; Dobson, Andrew; Princeton University;; Janetos, Anthony; Joint Global Change Research Institute;; Levy, Marc; Columbia University;; Nakicenovic, Nebojsa; Vienna University of Technology;; O'Neill, Brian; International Institute for Applied Systems Analysis;; Norgaard, Richard; University of California at Berkeley;; Petschel-Held, Gerhard; ;; Ojima, Dennis; Colorado State University;; Pingali, Prabhu; FAO;; Watson, Robert; World Bank;; Zurek, Monika; FAO;. |
| This paper provides an overview of what the Millennium Ecosystem Assessment (MA) calls “indirect and direct drivers” of change in ecosystem services at a global level. The MA definition of a driver is any natural or human-induced factor that directly or indirectly causes a change in an ecosystem. A direct driver unequivocally influences ecosystem processes. An indirect driver operates more diffusely by altering one or more direct drivers. Global driving forces are categorized as demographic, economic, sociopolitical, cultural and religious, scientific and technological, and physical and biological. Drivers in all categories other than physical and biological are considered indirect. Important direct drivers include changes in climate,... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Ecosystem services; Drivers of change; Direct drivers; Indirect drivers; Demographic drivers; Economic drivers; Sociopolitical drivers; Cultural and religious drivers; Scientific and technological drivers; Physical and biological drivers; Climate change; Plant nutrient use; Land conversion; Diseases; Invasive species. |
| Ano: 2006 |
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| Sudaryanto, Tahlim; Susilowati, Sri Hery; Sumaryanto, Sony. |
| According to agricultural cencus data, the percentage of small farms (holding <0.5 ha) has increased from 48.5% in 1993 to 56.5% in 2003. Evidence from micro panel data is also inline with this observation. In rice farming region of Java, average farm size has declined from 0.49 ha in 1995 to 0.36 ha in 2007. In the off-Java region, average farm size declined from 1.49 ha in 1995 to 1.35 ha in 2007. The increasing trend of small farm is due to several factors, namely: high population presure coupled with limited non-farm employment, persistent trend of land conversion to non-farm use, and traditional practice of land inheritance. Due to small farm size, rural farm household have to diversify their income to meet their family needs. In Java, 51.7% of... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Small farm; Land conversion; Non-farm employment; Labor and Human Capital; Land Economics/Use. |
| Ano: 2009 |
URL: http://purl.umn.edu/52808 |
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