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is: 13 where is the level of net returns above CRP or hay production over time, C j is the contract length in years, H j is the biomass harvest option, I j is biomass crop insurance availability, and S ... above hay production or CRP rental payments as a base (assumed to be about $40 per acre based on the level of average net returns from Kansas Farm Management Association Farms (KFMA) in the study region(s) ...doi:10.1016/j.eneco.2016.01.015 fatcat:g5jc7mww6ndcvemtyv7mm6nivq
In most cases, a researcher is more likely concerned about Oluwarotimi Odeh is an assistant professor at Virginia State University; Allen Featherstone and Jason Bergtold are, respectively, professor and ... ) the correlation procedure in S-Plus. ...doi:10.1093/ajae/aaq068 fatcat:3rfd6sobfrbb7kcqumut54iiie
Supporting information S1 Author Contributions Conceptualization: Jason S. Bergtold, Elizabeth A. Yeager. Formal analysis : analysis Jason S. Bergtold, Elizabeth A. Yeager. Methodology: Jason S. ... Bergtold, Terry W. Griffin. Writing -original draft: Jason S. Bergtold, Elizabeth A. Yeager. Writing -review & editing: Jason S. Bergtold, Elizabeth A. Yeager, Terry W. Griffin. ...doi:10.1371/journal.pone.0226953 pmid:31891630 pmcid:PMC6938342 fatcat:d3mt33ahwrd7bi6dtzxlsl5zzi
Miller, Jason S. Bergtold, Allen M. Featherstone. Data curation: Noah J. Miller, Jason S. Bergtold. Formal analysis: Noah J. Miller, Jason S. Bergtold, Allen M. Featherstone. ... Funding acquisition: Jason S. Bergtold. Investigation: Noah J. Miller. Methodology: Noah J. Miller, Jason S. Bergtold. Resources: Allen M. Featherstone. Software: Noah J. Miller. ...doi:10.1371/journal.pone.0220478 pmid:31393895 pmcid:PMC6687138 fatcat:nxhajkbkcvd3vfavguwbvfofva
Error Canales, Bergtold, and Featherstone / Journal of Applied Farm Economics 4, no. 1 (Fall 2021) Canales, Bergtold, and Featherstone / Journal of Applied Farm Economics 4, no. 1 (Fall ... The production possibility set S t containing the feasible set of inputs transformed into a set of outputs for each time period t is defined as , : S x y x can produce y t t t t t =^h " , (Shephard, 1970 ...doi:10.7771/2331-9151.1053 fatcat:fucp24zjgvdrxiw6k6om4xfoa4
Water use for ethanol production can impact water availability, quality, and conservation through increased demand for feedstock and increased input usage (Bergtold et al. 2017 ). ... 𝑖𝑡 = 𝐴 𝑖𝑡 𝑁 𝑖𝑡 . (1) We where 𝒙 𝑖𝑡 is a vector of observable field characteristics that vary through time (e.g., weather) and 𝑐𝑎𝑝𝑎𝑐𝑖𝑡𝑦 𝑖𝑡 is the cumulative capacity of ethanol plant(s) ...doi:10.1016/j.reseneeco.2021.101249 fatcat:jv5vfkp6nbakvlxxd57c6kkqty
K s t i t i s t s K s i i x x x x u u u x x α α β η x (18) The index function given by equation (18) can be made linear in the parameters via reparameterization of the model by letting ( u , α β β = ... These assumptions can then be tested to check tatistical adequ Let be a s the probability s (Bernoulli), nd Bernoul A The PR approach views statistical models as a parameterization of the joint distribution ...doi:10.1016/s1755-5345(13)70033-2 fatcat:wgzqlgnvm5f2zpxtumf7suxnxy
AbstractA growing biofuels industry requires the devel- opment of effective methods to educate farmers, govern- ment, and agribusiness about biofuel feedstock produc- tion if the market is going to significantly expand beyond first generation biofuels. Extension and outreach educa- tion provides a conduit for important research, knowledge and information to be disseminated to producers and agri- business that can utilize the information to help establish biofuel feedstock enterprises anddoi:10.1515/opag-2016-0004 fatcat:5zkipmlqz5aatjzlcf6mlpmrky
more »... . This paper presents the results of a survey administered to extension and outreach agents in 10 western states in the United States to assess the current state of knowledge of exten- sion and outreach agents, their needs regarding feedstock production, and mechanisms used for outreach to their clientele. Results indicate that extension and outreach agents require additional training on biofuel feedstock production, especially economic and logistical aspects. In addition, extension and outreach agents showed a pref- erence for learning using alternative methods, including field days, seminars, face-to-face, community education events, and the internet. Results differ by region and type of extension and outreach agent.
The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in ... Copyright © 2020 Dennis, Ajewole, Bergtold and Schroeder. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). ...doi:10.3389/fvets.2020.00611 pmid:33102554 pmcid:PMC7494847 fatcat:l5feltljkvgqbc2b6tiprgmllq
Previous research in the literature suggests that practices may be adopted by farmers independently and in a stepwise form (Byerlee and Hesse de Polanco 1986, Bergtold and Molnar 2010) . ... choice of conservation tillage in a joint framework are Cooper (2003) , who used a multinomial probit model to estimate the use and nonuse of different practices including conservation tillage; and Bergtold ...doi:10.1017/age.2017.23 fatcat:jeorqclhjvcr7a2vfkdudrnv7u
exp −β i,k,s,r,0 − β ′ r x −1 (10) β i,k,s,r,0 = β 0,r + θ ′ r z s,r + σ β r u i,k,s,r (11) P s,r,j = 1 + exp −β s,r,0 −β ′ r x j −1 (12) β s,r,0 =β 0,r + z ′ s,rθ r , where A W k,s,r is the total area ... For sub-region s in region r, the vector z ′ s,r = t 2013 d 1 d 2 · · · d S r , where t 2013 is the survey-year dummy variable and d s for s = 1, . . . , S r are the dummy variables for sub-regions within ...doi:10.1186/s13705-021-00308-2 fatcat:6wcuttciifdurcqw6wwgkgb4ze
99 RESUMO O aumento na demanda por biocombustíveis aliado às políticas públicas têm promovido a expansão da cana no Cerrado, especialmente em Goiás e Mato Grosso do Sul. As especificidades geográficas, temporais e físicas dos ativos limita a área de onde advem a cana, tornando usinas e produtores dependents uns nos outros. Com isso, contratos são uma prática comum no setor sucroalcoleiro e seu sucesso tem consequências diretas para a sustentabilidade da expansão da cana no Cerrado. Preenchemos,doi:10.18540/rever62201798-117 fatcat:a4ie4446ljalbol7jem3vpp5be
more »... neste estudo, a lacuna na literatura sobre a aceitação de contratos e confiança, determinando os fatores que alteram a percepção do produtor quanto ao contrato e quanto à confiança na usina. Usando dados primários de Goiás e Mato Grosso do Sul estimamos modelos logit ordenados usando as percepções e características dos produtores e de seus estabelecimentos. Lucro e tradição foram identificados como importantes para a aceitação de um contrato. Comunicação, transparência e a opinião demais produtores foram importantes fatores no desenvolvimento de confiança na usina. Logo, usinas que querem melhorar suas a aceitação de seus contratos devem se esforçar em participar mais na comunidade local e na melhoria da comunicação com os fazendeiros. ABSTRACT An increase in biofuel demand aligned with public policies has fueled the expansion of sugarcane into Goiás and Mato Grosso do Sul in the Cerrado. Geographic, temporal and physical asset specificities delimit the area from which mills can procure sugarcane, making sugarcane producers and mills dependent on each other. Thus contracting is a common practice in sugarcane production in the Cerrado and its success directly impacts the sustainability of the ethanol expansion. We fill a gap in the literature on producers' contract acceptance and trust by determining the factors that affect contract perception and trust with contractors. Using primary data from the states of Goiás and Mato Grosso do Sul we estimate ordered logit models using producer's perceptions, their characteristics and that of their enterprise. Profits and experience are important factors for a producer when considering a contract. Communication, transparency and other farmer's perception of a mill were important in building trust. Mills wanting to improve their chances of signing a contract should focus on more participation in the community and on better communication with farmers.
× V 4 4.3 0.0040 V × S 2 0.6 0.5648 Year × V × S 4 0.9 0.4807 Tillage (T) 1 1.2 0.2951 Year × T 2 11.2 0.0001 S × T 1 0.6 0.4343 Year × S × T 2 0.6 0.5465 V × T 2 0.4 0.6723 ... × S 4 1.0 0.4012 1.3 0.2629 Tillage (T) 1 3.1 0.0899 4.6 0.0449 Year × T 2 14.0 ≤0.0001 21.6 ≤0.0001 S × T 1 5.5 0.0273 4.2 0.0543 Year × S × T 2 0.6 0.5329 0.2 0.8440 V × ...doi:10.1016/j.fcr.2010.03.003 fatcat:3royspxyx5gyzk6kmn6xjs7vje
Net return distributions were constructed using Equation 1. (1) NR ijk 5 S 2 j51 Y ijk Â EP ij À C jk À HC ijk À Á =2 where NR ijk ¼ net return to land and management $=acre ð Þ for observation i of crop ...doi:10.1017/s1074070800024111 fatcat:zypxbu5azvartlaz5ehmylglae
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