Ascertaining land allocation decisions of farmers about the adoption of carinata as a potential crop for sustainable aviation fuel production in the Southern United States. Issue 7 (26th April 2022)
- Record Type:
- Journal Article
- Title:
- Ascertaining land allocation decisions of farmers about the adoption of carinata as a potential crop for sustainable aviation fuel production in the Southern United States. Issue 7 (26th April 2022)
- Main Title:
- Ascertaining land allocation decisions of farmers about the adoption of carinata as a potential crop for sustainable aviation fuel production in the Southern United States
- Authors:
- Ullah, Kazi Masel
Dwivedi, Puneet - Abstract:
- Abstract: The adoption of a bioenergy crop is affected by various factors, including but not limited to the characteristics of farmers, farm economics, market forces, and physical environment. This study develops a spatially explicit agent‐based model for ascertaining the adoption rate of carinata ( Brassica carinata ) among the farmers in the Little River Experimental Watershed located in the southern state of Georgia in the United States. Each farmer's adoption behavior is modeled using the profitability difference between traditional crop rotations (with and without carinata at different contract prices), the adoption rate of neighboring farmers, and their land allocation decisions from managing a risky portfolio of enterprises. Carinata production in the winter season once every 3 years has no conflict with the most profitable and popular traditional row crop rotations, such as cotton‐cotton‐cotton and cotton‐cotton‐peanut, to a larger extent. The results show that 28% and 85% of farmers in the watershed will adopt carinata after 33 years at a contract price of $13/bushel (bu) under two different assumptions of low (2.5%) and high (5%) initial neighborhood adoption rates. The proportions of land allocated to carinata to the total farmland under field crops are 38% and 85% after 33 years under the same low and high neighborhood adoption rates, respectively. Our results suggest that fixing the appropriate contract price of carinata will bring additional profits to farmersAbstract: The adoption of a bioenergy crop is affected by various factors, including but not limited to the characteristics of farmers, farm economics, market forces, and physical environment. This study develops a spatially explicit agent‐based model for ascertaining the adoption rate of carinata ( Brassica carinata ) among the farmers in the Little River Experimental Watershed located in the southern state of Georgia in the United States. Each farmer's adoption behavior is modeled using the profitability difference between traditional crop rotations (with and without carinata at different contract prices), the adoption rate of neighboring farmers, and their land allocation decisions from managing a risky portfolio of enterprises. Carinata production in the winter season once every 3 years has no conflict with the most profitable and popular traditional row crop rotations, such as cotton‐cotton‐cotton and cotton‐cotton‐peanut, to a larger extent. The results show that 28% and 85% of farmers in the watershed will adopt carinata after 33 years at a contract price of $13/bushel (bu) under two different assumptions of low (2.5%) and high (5%) initial neighborhood adoption rates. The proportions of land allocated to carinata to the total farmland under field crops are 38% and 85% after 33 years under the same low and high neighborhood adoption rates, respectively. Our results suggest that fixing the appropriate contract price of carinata will bring additional profits to farmers without any significant foreseeable agronomic risks, thereby increasing the adoption rate of carinata at a regional level. Abstract : An individual farmer adopts carinata based on three economic and behavioral principles ‐ profit maximization, neighborhood influence, and risk aversion. The initial carinata adoption rate in the watershed and its contract price are two key determinants that influence the adoption rates in the long run. … (more)
- Is Part Of:
- Global change biology. Volume 14:Issue 7(2022)
- Journal:
- Global change biology
- Issue:
- Volume 14:Issue 7(2022)
- Issue Display:
- Volume 14, Issue 7 (2022)
- Year:
- 2022
- Volume:
- 14
- Issue:
- 7
- Issue Sort Value:
- 2022-0014-0007-0000
- Page Start:
- 824
- Page End:
- 839
- Publication Date:
- 2022-04-26
- Subjects:
- agent‐based modelling -- aviation sector -- diffusion theory -- economic modeling -- energy crop -- farm economics -- risk portfolio -- sustainability
Biomass energy -- Periodicals
Biomass energy -- Environmental aspects -- Periodicals
Energy crops -- Periodicals
662.88 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1757-1707 ↗
http://www3.interscience.wiley.com/journal/122199997/home ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/gcbb.12945 ↗
- Languages:
- English
- ISSNs:
- 1757-1693
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4095.343410
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 21811.xml