Economic Aspects of the Forest Regeneration Delay Decision

1985 ◽  
Vol 9 (2) ◽  
pp. 91-94 ◽  
Author(s):  
Thomas J. Straka ◽  
James E. Hotvedt

Abstract Regeneration lag, the cost resulting from a delay in reestablishment of a forest stand, represents an important opportunity cost̶the cost of the foregone opportunity to grow timber over the period of the delay. The land expectation value (Le) criterion is used to evaluate the costs associated with one-time-only and perpetual lags. Significant decreases in wealth, or bare land value, were found using a simplified example with real-world cost and price data. Changes in required land bases resulting from regeneration delays were also reviewed. The additional land requirements resulting from scheduled delays in regeneration can be costly.

EDIS ◽  
2019 ◽  
Vol 2019 (6) ◽  
pp. 3
Author(s):  
Andres Susaeta ◽  
Chris Demers

Traditionally, the land expectation value (LEV) formula, the present value of perpetual cash inflows of timber revenues minus the present value of cash outflows of costs, has been employed as the main indicator of the value of a forest investment. However, when a forest stand is already established, the LEV approach is incomplete because it applies only to bare land. Thus, it is necessary to determine the value of a property with an existing forest stand. This 3-page fact sheet written by Andres Susaeta and Chris Demers and published by the UF/IFAS School of Forest Resources and Conservation provides the formula to determine the value of an already established forest stand at any stage of its development. This approach, known as the forest value formula, includes the value of the timber and the land. It can be used to compare the value of the stand when it is immediately harvested or when it is economically immature. http://edis.ifas.ufl.edu/fr423


1988 ◽  
Vol 12 (3) ◽  
pp. 186-189 ◽  
Author(s):  
Jon P. Caulfield ◽  
Lawrence D. Teeter

Abstract A break-even technique based on land expectation value is used to evaluate the economic consequences of plantation replant/no-replant decisions following a catastrophic loss. The after-tax break-even point, defined as the percentage volume loss incurred before it pays to replant, initially increases with stand age, levels off for several years, then decreases late in the rotation. The cost of an incorrect replant/no-replant decision follows a similar pattern, and is small when actual mortality is close to the break-even point. The break-even point and the cost of a wrong decision at a given stand age are both strongly influenced by the cost of capital. South. J. Appl. For. 12(3):186-189.


1985 ◽  
Vol 15 (4) ◽  
pp. 680-687 ◽  
Author(s):  
W. J. Reed ◽  
D. Errico

The problem of determining the effects of forest fire on stand yields is often neglected in forest yield analyses. Using previous theoretical results, "fire-adjusted, volume–rotation curves" can be developed which provide a graphical technique for determining optimal rotation age and long-run yield when the risk of fire is present. For white spruce of the northern interior of British Columbia it is shown that even modest rates of fire can result in very large reductions in long-run yield. Similar results are established for the effects of fire on land expectation value, which is dissipated very quickly under the risk of fire.


The results revealed that on an overall average size of landholding was estimated to be 0.97 ha. The total cultivated area at all categories of sample farms were found to be irrigated. Overall average, cost of cultivation was estimated `27819.43 per ha. The cost of cultivation showed positive relation with size of holding. The cost of cultivation was highest on medium farms (`32549.25) followed by small (`31528.40 and marginal (`29171.74), respectively. Overall average, cost of production was estimated `2446.44 per hectare. On an average input-output ratio on the basis Costs A1/A2, B1, B2, C1, and C2 were recorded 1:2.86, 1:2.77, 1:1.91, 1:1.89 and 1:1.46, respectively. On the basis of Cost C2 input-output ratio was highest on marginal farms (1:1.47) followed by small (1:1.44) and medium (1:1.43), respectively. Overall average, net income and gross income were found `9859.33 and 40028.69 per ha, respectively.


Author(s):  
Marcus Shaker ◽  
Edmond S. Chan ◽  
Jennifer LP. Protudjer ◽  
Lianne Soller ◽  
Elissa M. Abrams ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e19551-e19551
Author(s):  
Hongbo Yang ◽  
Cynthia Zhengyun Qi ◽  
Anand Dalal ◽  
Vamsi Bollu ◽  
Jie Zhang ◽  
...  

e19551 Background: The AE rates and HRU reported in multiple real-world evidence (RWE) studies of chimeric antigen receptor T-cell (CAR-T) therapies tisa-cel and axi-cel in r/r DLBCL have differed from those in their clinical trials. However, the cost implications from these findings are not well understood in existing literature. This study summarizes information from these RWE studies of tisa-cel and axi-cel and quantifies the associated costs. Methods: A literature review was conducted to identify RWE studies reporting AE rates and HRU of tisa-cel and axi-cel in the United States (US). AE rates and HRU were summarized and the associated costs were estimated using a micro-costing approach. Costs of AE management included hospitalization and pharmacy costs, such as intensive care unit (ICU) stays, inpatient admissions, and medications for the treatment of cytokine release syndrome (CRS) and neurotoxicity events (NE). HRU costs included hospitalization, ICU stays, and outpatient visit costs. Unit costs were from public health databases that are representative of US healthcare system and from literature. Costs were inflated to 2020 US dollars. A range was reported to present evidence if inputs are available from multiple studies. Results were summarized for tisa-cel and axi-cel separately. Results: Four publications were identified: Jaglowski 2019, Pasquini 2019, Riedell 2019, and Jacobson 2020. Across studies, grade 3+ CRS and NE occurred in 1%-4% and 0%-5% of tisa-cel-treated patients and 7%-16% and 20%-35% of axi-cel-treated patients, respectively. Tocilizumab usage was reported in 14%-20% of tisa-cel- and 62%-71% of axi-cel-treated patients. CAR-T infusion was inpatient for 36% of tisa-cel- and 92%-100% of axi-cel-treated patients. The median hospitalization days was 2 for tisa-cel and 15-16 for axi-cel. ICU transfer was observed for 7% and 28%-38% of tisa-cel- and axi-cel-treated patients, respectively, with median stays of 4 and 5 days, respectively. The median number of outpatient visits within 28 days after infusion was 6 for tisa-cel and 4 for axi-cel. The total estimated costs for managing AEs per patient were $843-$1,962 for tisa-cel and $5,979-$10,878 for axi-cel. The total estimated HRU costs per patient were $3,321 for tisa-cel and $32,394-33,166 for axi-cel. Conclusions: RWE studies suggest that patients with r/r DLBCL receiving tisa-cel had numerically lower AE rates, HRU, and cost burden than those receiving axi-cel in the US. The additional cost burden for axi-cel was primarily driven by the incremental ICU and hospitalization care due to a higher proportion of inpatient infusion among patients receiving axi-cel. Further research is warranted to compare the costs associated with the two CAR-Ts in r/r DLBCL.


Author(s):  
Roman Bresson ◽  
Johanne Cohen ◽  
Eyke Hüllermeier ◽  
Christophe Labreuche ◽  
Michèle Sebag

Multi-Criteria Decision Making (MCDM) aims at modelling expert preferences and assisting decision makers in identifying options best accommodating expert criteria. An instance of MCDM model, the Choquet integral is widely used in real-world applications, due to its ability to capture interactions between criteria while retaining interpretability. Aimed at a better scalability and modularity, hierarchical Choquet integrals involve intermediate aggregations of the interacting criteria, at the cost of a more complex elicitation. The paper presents a machine learning-based approach for the automatic identification of hierarchical MCDM models, composed of 2-additive Choquet integral aggregators and of marginal utility functions on the raw features from data reflecting expert preferences. The proposed NEUR-HCI framework relies on a specific neural architecture, enforcing by design the Choquet model constraints and supporting its end-to-end training. The empirical validation of NEUR-HCI on real-world and artificial benchmarks demonstrates the merits of the approach compared to state-of-art baselines.


BMJ Open ◽  
2015 ◽  
Vol 5 (5) ◽  
pp. e006535-e006535 ◽  
Author(s):  
T. Butt ◽  
A. Lee ◽  
C. Lee ◽  
A. Tufail ◽  
W. Xing ◽  
...  

2021 ◽  
Author(s):  
Jesus Gomez Rossi ◽  
Ben Feldberg ◽  
Joachim Krois ◽  
Falk Schwendicke

BACKGROUND Research and Development (R&D) of Artificial Intelligence (AI) in medicine involve clinical, technical and economic aspects. Better understanding the relationship between these dimensions seems necessary to coordinate efforts of R&D among stakeholders. OBJECTIVE To assess systematically existing literature on the cost-effectiveness of Artificial Intelligence (AI) from a clinical, technical and economic perspective. METHODS A systematic literature review was conducted to study the cost-effectiveness of AI solutions and summarised within a scoping framework of health policy analysis developed to study clinical, technical and economic dimensions. RESULTS Of the 4820 eligible studies, 13 met the inclusion criteria. Internal medicine and emergency medicine were the most studied clinical disciplines. Technical R&D aspects have not been uniformly disclosed in the studies we analysed. Monetisation aspects such as payment models assumed have not been reported in the majority of cases. CONCLUSIONS Existing scientific literature on the cost-effectiveness of AI currently does not allow to draw conclusive recommendations. Further research and improved reporting on technical and economic aspects seem necessary to assess potential use-cases of this technology, as well as to secure reproducibility of results. CLINICALTRIAL Not applicable


Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Elizabeth Baraban ◽  
Richard Nelson ◽  
Alexandra Lesko ◽  
Jennifer Majersik ◽  
Archit Bhatt ◽  
...  

Objective: An obstacle for community hospitals in joining a telestroke network is often the cost of implementation. Yet, previous analyses examining the cost and cost-effectiveness have only used estimates from the literature. Using real-world data from a Pacific Northwest telestroke network, we examined the cost-effectiveness of telestroke for spokes by level of financial responsibility for these costs and how this changes with patient stroke severity. Methods: We constructed a decision analytic model and parameterized it using patient-level clinical and financial data from the Providence Telestroke Network (PTN) pre and post telestroke implementation. Data included patients presenting at 17 spokes within 4.5 hours of symptom onset. Probability inputs included observed IV-tPA treatment rates, transfer status and hospital costs and reimbursements. Effectiveness, measured as quality-adjusted life years (QALYs), and cost per patient were used to calculate incremental cost effectiveness ratios (ICERs). ICER’s of <$50,000-$120,000/QALY are considered cost-effective. Outcomes were generated overall and separately by admit NIHSS, defined as low (0-10), medium (11-20) and high (>20) and percentage of implementation costs paid by spokes (0%, 50%, 100%). Results: Data for 594 patients, 105 pre- and 489 post-implementation, were included. See Table 1. Conclusions: Our results support previous theoretic models showing good value, overall. However, costs and ICERs varied by stroke severity, with telestroke being most cost-effective for severe strokes. Telestroke was least cost effective if spokes paid for half or more of implementation costs.


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