0% found this document useful (0 votes)
19 views12 pages

AIReport

The document is an economic analysis of Canadian canola oil, focusing on demand and supply shifts influenced by various factors, including international trade dynamics and domestic processing capacity. It discusses the potential impact of a 25% U.S. tariff on Canadian canola exports, highlighting the resulting market distortions and pressures on prices. The analysis also examines the market structure of the Canadian canola industry, emphasizing its vulnerability to policy shocks and the implications for producers.

Uploaded by

megwejohnmwangi
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
19 views12 pages

AIReport

The document is an economic analysis of Canadian canola oil, focusing on demand and supply shifts influenced by various factors, including international trade dynamics and domestic processing capacity. It discusses the potential impact of a 25% U.S. tariff on Canadian canola exports, highlighting the resulting market distortions and pressures on prices. The analysis also examines the market structure of the Canadian canola industry, emphasizing its vulnerability to policy shocks and the implications for producers.

Uploaded by

megwejohnmwangi
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 12

Page 1 of 12 - Cover Page Submission ID trn:oid:::29034:90338354

Submission
My Files

My Files

University

Document Details

Submission ID

trn:oid:::29034:90338354 10 Pages

Submission Date 2,007 Words

Apr 9, 2025, 2:45 AM GMT+5:30


12,307 Characters

Download Date

Apr 9, 2025, 2:46 AM GMT+5:30

File Name

Economic_Analysis_of_Canadian_Canola_in_the_Context_of_Domestic.docx

File Size

128.0 KB

Page 1 of 12 - Cover Page Submission ID trn:oid:::29034:90338354


Page 2 of 12 - AI Writing Overview Submission ID trn:oid:::29034:90338354

0% detected as AI Caution: Review required.

The percentage indicates the combined amount of likely AI-generated text as It is essential to understand the limitations of AI detection before making decisions
well as likely AI-generated text that was also likely AI-paraphrased. about a student’s work. We encourage you to learn more about Turnitin’s AI detection
capabilities before using the tool.

Detection Groups
1 AI-generated only 0%
Likely AI-generated text from a large-language model.

2 AI-generated text that was AI-paraphrased 0%


Likely AI-generated text that was likely revised using an AI-paraphrase tool
or word spinner.

Disclaimer
Our AI writing assessment is designed to help educators identify text that might be prepared by a generative AI tool. Our AI writing assessment may not always be accurate (it may misidentify
writing that is likely AI generated as AI generated and AI paraphrased or likely AI generated and AI paraphrased writing as only AI generated) so it should not be used as the sole basis for
adverse actions against a student. It takes further scrutiny and human judgment in conjunction with an organization's application of its specific academic policies to determine whether any
academic misconduct has occurred.

Frequently Asked Questions

How should I interpret Turnitin's AI writing percentage and false positives?


The percentage shown in the AI writing report is the amount of qualifying text within the submission that Turnitin’s AI writing
detection model determines was either likely AI-generated text from a large-language model or likely AI-generated text that was
likely revised using an AI-paraphrase tool or word spinner.

False positives (incorrectly flagging human-written text as AI-generated) are a possibility in AI models.

AI detection scores under 20%, which we do not surface in new reports, have a higher likelihood of false positives. To reduce the
likelihood of misinterpretation, no score or highlights are attributed and are indicated with an asterisk in the report (*%).

The AI writing percentage should not be the sole basis to determine whether misconduct has occurred. The reviewer/instructor
should use the percentage as a means to start a formative conversation with their student and/or use it to examine the submitted
assignment in accordance with their school's policies.

What does 'qualifying text' mean?


Our model only processes qualifying text in the form of long-form writing. Long-form writing means individual sentences contained in paragraphs that make up a
longer piece of written work, such as an essay, a dissertation, or an article, etc. Qualifying text that has been determined to be likely AI-generated will be
highlighted in cyan in the submission, and likely AI-generated and then likely AI-paraphrased will be highlighted purple.

Non-qualifying text, such as bullet points, annotated bibliographies, etc., will not be processed and can create disparity between the submission highlights and the
percentage shown.

Page 2 of 12 - AI Writing Overview Submission ID trn:oid:::29034:90338354


Page 3 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354

Economic Analysis of Canadian Canola in the Context of Domestic and

International Trade Dynamics

Student’s Name

Institution Affiliation

Professor’s name

Course

Date

Page 3 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354


Page 4 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354

Economic Analysis of Canadian Canola in the Context of Domestic and

International Trade Dynamics

Question 1: Demand Shifts for Canadian Canola Oil

Demand for Canadian canola oil is influenced by multiple economic and structural

factors. First, international consumption trends, particularly in China and the U.S., directly

impact export demand. Canada is projected to export 7.5 million tonnes of canola in 2025, with

the U.S. being a key market (Danielson, 2025). Any geopolitical disruption or import restriction

in these markets results in a decrease in demand. Second, competition from substitute products,

especially soy and palm oil, has intensified. According to Danielson (2025), with global soybean

production up and prices falling, canola oil faces a price disadvantage, which can further

suppress demand.

Third, domestic processing expansion is driving internal demand growth. In 2025,

Canada is expected to reach a record 12.0 million tonnes of canola crushed domestically,

supporting food, biofuel, and industrial sectors (AAFC, February 2025). This leads to a demand

increase from processors. Fourth, climate-induced nutritional decline in canola oil is emerging as

a demand risk. A study shows a reduction in essential fatty acid content due to warming trends,

potentially reducing health-conscious consumer uptake and thus lowering demand (Bukowski et

al., 2025). These four factors—global consumption, substitute prices, domestic crush capacity,

and nutritional quality—critically define the direction of demand shifts for Canadian canola oil

in 2025.

Question 2: Supply Shifts for Canadian Canola Oil

The supply of Canadian canola oil is directly shaped by agro-economic and trade factors.

First, adverse climatic conditions—particularly drought in the Prairie provinces—have caused

Page 4 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354


Page 5 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354

significant yield reductions. AAFC (February 2025) reports a drop in national average yield from

2.17 to 2.02 tonnes per hectare, resulting in a 7% decline in overall canola production, thereby

decreasing supply. Second, elevated input costs for fertilizers, fuel, and chemicals are

discouraging cultivation. The same report forecasts a 3% decline in seeded area to 8.5 million

hectares, as producers cut back due to tight margins, leading to a further supply contraction.

Third, expansion in domestic crushing capacity is a positive supply driver. Canada’s 2025

canola crush is projected to reach a record 12.0 million tonnes, signaling strong industrial

demand and incentives for future production increases (Danielson, 2025). This would increase

supply through improved market access and value chain integration. Fourth, trade uncertainty—

particularly China's anti-dumping case—has undermined producer confidence and export

stability (Slade & Kerr, 2025). This volatility constrains future supply, especially from export-

dependent producers. While processing expansion supports supply, climate, cost pressures, and

geopolitical risks are causing a net decline in Canadian canola oil supply in 2025.

Question 3: Impact of a 25% U.S. Tariff on Canadian Canola Oil

Imposing a 25% tariff on Canadian canola oil by the U.S.—Canada’s key trading

partner—would significantly distort market equilibrium. In 2024-25, Canada’s canola exports

were forecasted at 7.5 million tonnes, with the U.S. being a major destination (AAFC, February

2025). A tariff would raise the landed price of Canadian canola oil in the U.S. market, leading to

a leftward shift in the demand curve from U.S. importers as American buyers reduce purchases

due to higher costs. This would directly decrease export demand, placing downward pressure on

Canadian prices.

From a supply perspective, domestic producers would be faced with a surplus as their

product becomes less competitive internationally. This surplus would exert downward pressure

Page 5 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354


Page 6 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354

on prices, and the supply curve would not immediately shift, but producers may reduce future

planting or hold inventory in anticipation of price recovery. AAFC (2025) projected carry-out

stocks at 1.3 million tonnes in 2024-25; such a shock would likely increase these figures

significantly, reducing revenues and profitability for producers, especially in Saskatchewan and

Alberta.

Additionally, the domestic market may see moderate gains in processing activity as more

raw canola is diverted to crushers. However, even with record domestic crush forecasts of 12.0

million tonnes (Danielson, 2025), processing infrastructure has limitations. The net effect is a

short-term supply glut and price suppression, with longer-term consequences including acreage

reduction, delayed investment, and market reorientation. The tariff distorts both domestic and

export demand, compresses margins, and generates broader inefficiencies across the Canadian

canola value chain.

Question 4: Market Structure and Tariff Effects on Canadian Canola Oil

The Canadian canola oil industry operates under a perfectly competitive market structure

at the farm production level. This structure is characterized by the presence of many small

producers, each too small to influence market prices individually. In 2025, major production

regions such as Saskatchewan and Alberta are dominated by thousands of independent farms

producing canola on standardized terms (AAFC, February 2025).

First, a large number of sellers ensures that no single farm has pricing power. Farmers are

price takers, accepting prevailing global prices set by commodity markets. Second, homogeneity

of product defines this sector. Canola oil, especially after refining, is standardized for oil content

and fatty acid composition, as specified by international quality benchmarks. Even though

Bukowski et al. (2025) document climate-induced declines in essential fatty acid content, the

Page 6 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354


Page 7 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354

product remains largely undifferentiated in global markets. Third, there is free entry and exit, as

minimal regulatory or capital barriers exist for new entrants, though economies of scale still

benefit larger producers. Fourth, perfect information exists among buyers and sellers, with

market pricing, export volumes, and input costs widely disseminated through government

publications like the AAFC’s Outlook reports.

The nature of perfect competition magnifies the industry’s exposure to tariffs, as

individual producers cannot adjust prices to maintain margins. A 25% U.S. tariff significantly

reduces export demand, causing the demand curve for Canadian canola oil to shift leftward. With

price rigidity and no price-setting ability, producers absorb the full brunt of revenue loss, which

discourages further production and leads to suppressed prices in the domestic market (Danielson,

2025). The inability to restrict output in the short run results in surpluses, pushing prices toward

or below average variable cost (AVC).

Under perfect competition, the shutdown point occurs when the market price falls below

AVC. This point indicates that producers are unable to cover even their variable costs such as

seeds, fuel, and fertilizer. AAFC (2025) notes a drop in seeded area and yield forecasts for 2025-

26, implying that smaller or less efficient producers are already responding to unprofitable

conditions. If the post-tariff domestic price of canola oil drops below the threshold of sustainable

marginal costs, rational producers should halt production to minimize losses. Hence, the market

structure not only dictates vulnerability to policy shocks like tariffs but also determines the exit

mechanism for unsustainable operations.

Question 5: Graphical Representation and Tariff Impact

The graph below illustrates the demand and supply dynamics for Canadian canola oil

before and after the imposition of a 25% U.S. tariff. Initially, the market was in equilibrium at

Page 7 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354


Page 8 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354

point E, where the original demand (D) and supply (S) curves intersect. According to Agriculture

and Agri-Food Canada’s (AAFC) (2025), this reflects the balance of export demand and

domestic supply under normal trade conditions, with exports projected at 7.5 million tonnes and

a carry-out of 1.3 million tonnes.

Once the tariff is imposed, the demand curve shifts leftward to D1 due to reduced U.S.

import demand. This contraction reflects price sensitivity in export markets, where the added

25% cost reduces competitiveness. The new equilibrium point E1 shows a lower price and

quantity, aligning with Danielson’s (2025) forecast that global canola prices would decline under

adverse trade pressures.

Although supply may not shift immediately, in the medium term, some producers might

marginally increase domestic supply due to surplus redirection from export markets. This

potential minor outward movement is reflected in the dashed S1 curve. However, capacity

constraints in domestic crushers limit this response. The net effect is price suppression, excess

inventory, and producer strain, validating the economic repercussions of demand shocks in a

perfectly competitive export-dependent sector.

Page 8 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354


Page 9 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354

Question 6: Summary and Critical Impact of Five 2025 Canadian Articles on Canola Oil

The first article, Canada: Outlook for Principal Field Crops, 2025 by Agriculture and

Agri-Food Canada (AAFC, February 2025), presents current data on canola acreage, yields, and

market forecasts. The report highlights a 3% decline in canola seeded area due to weather

volatility and input cost concerns. It also projects total production at 17.2 million tonnes and

forecasts a domestic crush record of 12.0 million tonnes. This article directly informed my

analysis in Questions 1 and 2 by providing credible figures on supply constraints, processing

capacity, and the market's structural shifts. It clarified how droughts and rising costs reduce

output and how expanded crush demand drives partial recovery in domestic supply.

The second source, Danielson’s Oilseeds and Products Annual (2025), offers granular

insights into global market dynamics and Canada's canola export exposure. The report

documents Canada’s export forecast at 7.5 million tonnes and shows increasing pressure on

prices from competing oilseeds, especially soybeans. It also stresses the risk posed by tariff-

induced demand contractions in major markets. This directly influenced my discussion in

Question 3, where I used Danielson’s data to support the analysis of reduced U.S. demand and

the downward price pressure stemming from a 25% tariff. It also reinforced the logic of how

limited export market diversification heightens exposure to trade shocks.

The third article by Bukowski, Goslee, and Barthet (2025) presents a scientific

assessment of climate-driven nutrient degradation in canola oil. The study finds a measurable

decline in essential fatty acid content, notably linoleic and alpha-linolenic acids, linked to

changing climatic conditions across the Prairies. This source shaped my argument in Question 1

by providing a factual basis for why long-term demand might weaken among health-conscious

Page 9 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354


Page 10 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354

consumers. It substantiates the hypothesis that even a homogeneous commodity like canola oil

can suffer demand-side quality erosion due to non-market factors such as environmental change.

The fourth article by Slade and Kerr (2025) analyzes China’s anti-dumping actions

against Canadian canola. It details how trade disputes not only restrict market access but

generate long-term reputational damage and policy uncertainty for exporters. The authors

emphasize the chilling effect such trade actions have on producer confidence and investment.

This article significantly supported my discussion in Questions 2 and 3 by providing a real-world

case of how geopolitical trade tensions can suppress supply responses and lower price

expectations, especially under conditions of perfect competition.

Finally, Nadon et al. (2025) explore the nutritional impact of canola meal versus soybean

meal in dairy cows. The study finds comparable nitrogen flow levels, validating canola’s utility

in animal nutrition. This supported my broader understanding of canola's demand in feed

markets and was relevant in Question 1, as it shows consistent demand from the livestock sector

regardless of export trends. It demonstrated the resilience of industrial demand, even amid

international volatility.

Together, these five articles anchored every section of my analysis in empirical,

Canadian, and timely data. They offered critical, discipline-specific insight into supply

dynamics, trade policy, climatic effects, and industrial utility, all essential to evaluating Canadian

canola oil within its domestic and international trade context.

Page 10 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354


Page 11 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354

Reference

Agriculture and Agri-Food Canada’s (AAFC). (2025, January 20). CANADA: OUTLOOK FOR

PRINCIPAL FIELD CROPS, 2025. Language selection - Agriculture and Agri-Food

Canada / Sélection de la langue - Agriculture et Agroalimentaire

Canada. https://agriculture.canada.ca/sites/default/files/documents/2025-

01/Canada_Outlook_for_Principal_Field_Crops_202501.pdf

Agriculture and Agri-Food Canada’s (AAFC). (2025, February 19). CANADA: OUTLOOK FOR

PRINCIPAL FIELD CROPS, 2025. Publications du gouvernement du Canada |

Government of Canada

Publications. https://publications.gc.ca/collections/collection_2025/aac-aafc/A77-1-2025-

2-19-eng.pdf

Bukowski, M. R., Goslee, S., & Barthet, V. J. (2025). Longitudinal cohort study of Canola

composition demonstrates changes in the climate and the food system are decreasing the

essential fatty acid content of Canola. The American Journal of Clinical

Nutrition, 121(2), 304-314. https://doi.org/10.1016/j.ajcnut.2024.11.021

Erin Danielson. (2025). Oilseeds and Products

Annual. https://apps.fas.usda.gov/newgainapi/api/Report/DownloadReportByFileName?fi

leName=Oilseeds%20and%20Products%20Annual_Ottawa_Canada_CA2025-0017.pdf

Nadon, F., Charbonneau, É., Lapierre, H., Binggeli, S., & Ouellet, D. (2025). Effects of Canola

meal or soybean meal on duodenal flow of nitrogen fractions in dairy cows. Journal of

Dairy Science. https://doi.org/10.3168/jds.2024-25773

Page 11 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354


Page 12 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354

10

Slade, P., & Kerr, W. A. (2025). Collateral damage: China's anti‐dumping case against Canadian

Canola. Canadian Journal of Agricultural Economics/Revue canadienne

d'agroeconomie, 73(1), 5-15. https://doi.org/10.1111/cjag.12381

Page 12 of 12 - AI Writing Submission Submission ID trn:oid:::29034:90338354

You might also like