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Record W3144520813

Economic Incentives, Transaction Costs and Carbon Trading: The Economics of Alberta’s Reduced Age to Harvest Protocol

2016· article· en· W3144520813 on OpenAlexaboutno aff
Paul J. Thomassin

Bibliographic record

Venue2016 Annual Meeting, July 31-August 2, Boston, Massachusetts · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsnot available
Fundersnot available
KeywordsGreenhouse gasCarbon offsetIncentiveCarbon creditEmissions tradingPurchasingKyoto ProtocolBusinessAgricultureNatural resource economicsTransaction costClimate changeAgricultural economicsEnvironmental scienceEconomicsFinanceGeographyEcology
DOInot available

Abstract

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Economic Incentives, Transaction Costs and Carbon Trading: The Economics of Alberta’s Reduced Age to Harvest Protocol. Climate change is a global problem that requires individual countries to take action to reduce their greenhouse gas (GHG) emissions. Canada’s GHG emissions have increased from 613 megatonnes (Mt) in 1990 to 726Mt in 2013; an 18 percent increase (Environment and Climate Change Canada, 2015). The agriculture sector produces approximately 10 percent of the GHG emissions in Canada and methane and nitrous oxide are the two largest sources of emissions (AAFC, 2015). The main sources of methane emissions are from cattle and sheep production and animal manure. The amount of methane produced during the production process can be reduced by changing the animal’s diet, the age at harvest and the addition of various agents and compounds to the feed (AAFC, 2014a). GHG emissions in the province of Alberta increased from 175Mt in 1990 to 267 Mt in 2013 (Environment and Climate Change Canada, 2015). To address this increase in GHG emissions, Alberta introduced a carbon traded system where large emitters of GHG emissions are regulated (Boyle, 2008-09). Regulated firms can satisfied their required reductions by: (1) reducing their GHG emission intensity, (2) purchasing Emission Performance Credits from other regulated firms, (3) purchasing Technical Fund Credits or (4) purchasing Carbon Offset Credits. The province of Alberta has been active in the development of agricultural protocols that can be used to produce Carbon Offset Credits. However, agricultural producers will only undertake these management changes if there are economic incentives to do so. This paper investigates the transaction costs that will be incurred in generating Carbon Offset Credits from the Reduce Age to Harvest protocol and the economic incentives that will be generated for the aggregator and the feedlot operator. The Reduce Age to Harvest (RAH) Protocol was designed to quantify the GHG emissions that result from reducing the age of cattle when harvested. The protocol is designed to measure the GHG emissions per kilogram of carcass weight of beef. The RAH protocol includes the GHG emissions from the pasture, backgrounding, and feedlot operation as well as manure storage and handling. When the age to harvest is decreased the amount of GHG emissions also decreases (AESRD, 2011). A greenhouse gas calculator that was specifically designed for the feedlot industry was used to estimate the impact of decreasing the age of harvest from 19 months to 15 months. The change in management required bringing steer or heifer calves into the feedlot instead of yearling animals. This change in management resulted in a reduction of 2.3 tCO2e per head for steers and 2.49 tCO2e for heifers. The transaction costs of developing Carbon Offset Credits plays an important role in estimating the economic incentives of the RAH protocol. The RAH protocol will require the services of an aggregator who will manage the transaction costs of generating the Carbon Offset Credits from the feedlot operator to selling the Offset Credits on the market. In order to estimate the costs of the aggregation function, a series of semi structured and structured surveys and interviews were undertaken with aggregators who worked with feedlot operators as project developers. The semi-structure survey was an open discussion with one aggregator to define the types of costs that would be associated with developing a project using the RAH protocol. These costs were broken down into three categories. The first category was fixed costs that would be required no-matter the number of credits that would be generated and included: legal costs, accounting costs, office space, project planning, website development, computer software development, computer storage, etc. The second category of costs varied with the number of carbon offset credits that are generated. These included data collecting costs, de-listing costs, registration costs, and insurance costs. The third set of costs was based on the number of projects in the aggregator’s portfolio. These included the project listing costs and the verification costs. Once these detailed costs were identified a group of aggregators were surveyed to provide estimates of the various costs. Once these estimates were received, a consensus group of estimates were developed. These were then reviewed by the aggregators to provide an indication of the accuracy of the estimates. Once these costs were deemed acceptable a net present value calculation was undertaken to determine the economic feasibility of providing project development services for a RAH project. This analysis includes a sensitivity analyses on the variables that had an impact on the economic feasibility of being an aggregator. The economic incentive for the feedlot operator was also investigated. This included variations in the carbon price, the share of carbon revenue between the aggregator and the feedlot operator and the change in the cost of production from the change in management. This study estimated the benefits and costs for the aggregator and the feedlot operator of generating Carbon Offset Credits using the RAH protocol in the Alberta Carbon Market. Three carbon price scenarios were investigated and a sensitivity analysis was undertaken on some of the key variables that would impact the results. The analysis indicated that there are economic incentives for aggregators to get involved in the Carbon Offset Market with the RAH protocol. The economic incentives change with the carbon price, quantity of offset credits generated and the share of carbon revenue going to the aggregator. There are also favourable economic incentives for the feedlot operator. These results are sensitive to the carbon offset price, the share of offset revenue received and the change in the cost of production. The analysis indicated that the economics from carbon offset generation is positive, however, the revenue generated is substantially less significant than the revenue from the cattle production.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.562
Threshold uncertainty score0.870

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0070.004
Open science0.0020.003
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0160.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.250
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2016
Admission routes1
Has abstractyes

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