Tracking Food Flows

How and why we are looking at these basic dynamics of the regional food system.

Flows in the Food System

One of our projects is to better understand the governance system for food in Atlantic Canada–that is, the landscape of rules and decisions that influence what food gets produced where, how that food moves through the region, and who holds the power to gain access and make choices about food.

What do we need in order to develop this better understanding? The first step is define the system we are trying to understand. Lawmakers and policymakers have conventionally approached their work on environmental and related problems as a process of crafting rules to govern human behaviours that affect the natural world. But this way of thinking is being superseded by a new perspective. Instead of viewing human and natural systems as wholly distinct, and instead of presuming that cause-and-effect works mostly one way (humans shape their environments), thinking in terms of social-ecological systems (SESs) invites us to see these two components as an integrated system–one whose component parts adapt to one another over time.

To put this idea of an SES to work for food policy, we want to assemble and analyze the available empirical data on how food moves (or “flows”) through the regional system. Just as those who study water management emphasize the need for a deep understanding of how physical water sources and flows influence the dynamics of watershed governance, we see a similar need to understand food flows as a basis for mapping regional food governance and identifying opportunities for changes in how collective decisions are made.

We were inspired to start exploring food flows in the Halifax Regional Municipality (HRM) by a recent study from Metro Vancouver that sets out to quantify food consumption and sources of supply for aggregate categories of food (e.g. vegetables, fish, fruits, etc.) in the region. The author of the Metro Vancouver report has generously shared insights from their methodology to get us started on the project. This post describes how we are approaching the HRM food flows analysis and describes some challenges and questions we are confronting as we get started.

Some Initial Questions

What are Food Flows?

Tracking food flows tells us how–and how much–food moves into, out of, and around a regional food system (Moschitz and Frick 2020). It is a way to understand the movements of the “resource units” at the heart of the system. Within any geographic region, some food will be produced, caught, processed, eaten and discarded close to home. Some food produced or caught locally will be sent elsewhere, and other food from elsewhere will be brought in (and, in some cases, sent out again).

We can investigate these food flows at many possible scales. For example, international trade data can tell us what quantity or value of certain foods is imported into and exported from Canada every year. Other sources of data might tell us how much food flows between different provinces and territories, or between smaller units like city-regions. At a very small scale, we might learn how food flows between individual actors like farms, fisheries, grocery stores, farmers markets, hospitals, universities, restaurants and waste disposal facilities.

What Can We Learn From Studying Food Flows?

What a food flow analysis can tell us will depend on (a) our goals and methods for studying them and (b) the available data. Some types of analysis are relatively easy. If our goal is to understand the flow of food imported into and exported from Canada as a whole every year, robust annual international trade data are generally available from reliable sources. These data can generate snapshots of international flows such as this:

Chart Data Source and Notes

Note: the United States is by far Canada’s largest trading partner in food. More than 60 percent of Canada’s food imports come from the United States, and it is the destination for nearly 85 percent of Canada’s food exports. Because such an overwhelming proportion of Canadian food is traded with the U.S., those flows are excluded from the figures above to make other flows easier to observe.

Trading PartnerExports (thousands $USD)Imports (thousands $USD)
Afghanistan38685
Albania3449
Algeria6181520
American Samoa00
Andorra02
Angola160
Antigua and Barbuda515191
Argentina5280121664
Armenia2839286
Aruba10711
Australia78709200460
Austria124331979
Azerbaijan12321
Bahamas, The76321
Bahrain147023
Bangladesh20053679
Barbados260210230
Belarus448112
Belgium37980203361
Belize18337
Benin1110
Bermuda1327131
Bhutan03
Bolivia42934
Bosnia and Herzegovina6291
Brazil30893348866
British Virgin Islands9712
Bulgaria24295706
Burkina Faso24201
Cambodia5676
Cameroon1574
Cape Verde270
Cayman Islands8011
Central African Republic01
Chile13280139742
China676339503662
Colombia1044028138
Congo, Dem. Rep.41
Costa Rica1409625124
Cote d’Ivoire155203058
Croatia21416650
Cuba78408971
Cyprus837367
Czech Republic976312244
Denmark1766160021
Djibouti00
Dominican Republic179615854
Ecuador179027826
Egypt, Arab Rep.273913309
El Salvador51634015
Equatorial Guinea260
Eritrea00
Estonia21745521
Eswatini3140
Ethiopia(excludes Eritrea)851073
Falkland Island00
Fiji234752
Finland53585511
France64148815053
French Polynesia3701
Gabon470
Gambia, The018
Georgia1991355
Germany62187247647
Ghana615553359
Greece348870307
Greenland160
Grenada2757
Guam1700
Guatemala598094981
Guinea361
Guyana34619772
Haiti293686
Honduras20784222
Hong Kong4727223633
Hungary173521246
Iceland27146385
India3721136378
Indonesia1376982344
Iran, Islamic Rep.11722961
Iraq2966184
Ireland37658142237
Israel1798117802
Italy17304769199
Jamaica812129598
Japan13079273908
Jordan22052190
Kazakhstan76487
Kenya261311
Korea, Dem. Rep.041
Kuwait474013
Kyrgyz Republic2740
Lao PDR1010
Latvia192010579
Lebanon153917787
Liberia82
Libya7170
Lithuania18601615
Luxembourg1572255
Macao101245
Madagascar0424
Malawi5438
Malaysia622357967
Mali21824
Malta426979
Mauritania05
Mauritius84517
Mexico136967550675
Moldova243526
Mongolia1213
Montenegro75150
Montserrat70
Morocco44711012
Mozambique154137
Myanmar103920
Namibia00
Nauru00
Nepal58888
Netherlands106166202220
New Caledonia5913
New Zealand35578126794
Nicaragua62922181
Niger028
Nigeria126098269
North Macedonia1875071
Norway658219480
Oman916905
Other Asia, nes5262761517
Pakistan160014285
Panama40251805
Papua New Guinea0439
Paraguay1015195
Peru454535361
Philippines4314270189
Poland1239975206
Portugal372267247
Qatar18851
Romania45192682
Russian Federation4466929624
Rwanda57
Saint Maarten (Dutch part)572191
Saint Pierre and Miquelon16005949
Saudi Arabia19264678
Senegal84311
Serbia, FR(Serbia/Montenegro)2583039
Sierra Leone25583
Singapore1452629509
Slovak Republic37531398
Slovenia1324937
Somalia035
South Africa838348890
South Asia8110162094
South Korea138200107428
Spain24070235976
Sri Lanka2756777
St. Kitts and Nevis689265
St. Lucia500182
St. Vincent and the Grenadines18214
Sudan22115
Suriname2121
Sweden1597961158
Switzerland4766173386
Syrian Arab Republic8331176
Tajikistan7467
Tanzania0964
Thailand10841402699
Togo4137
Tonga012
Trinidad and Tobago97996715
Tunisia8062137
Turkey519157433
Turkmenistan015
Uganda9591
Ukraine673520142
United Arab Emirates194425029
United Kingdom157572380300
United States1312767611931233
United States Minor Outlying I9221
Unspecified051586
Uruguay933276
Uzbekistan10700
Vanuatu00
Venezuela1364112
Vietnam45837119282
Yemen2550
Zambia23243
Zimbabwe12930

Other types of analysis are extremely difficult to conduct with any accuracy. If our goal is to understand what proportion of food served in a city’s restaurants is produced and delivered directly from sources within a 100 kilometer radius, such detailed data are unlikely to be readily accessible or easily compiled (though we may be able to develop ways of estimating answers to such questions with a reasonable degree of confidence). Between these extremes there are any number of possibilities and challenges, and other variables–like which foods to include or exclude–will also affect the difficulty and accuracy of the analysis (Moschitz and Frick 2020).

Why Are We Studying Food Flows?

The reason(s) for undertaking an analysis of food flows will shape how we conduct that analysis and what we will learn. There are several possible reasons why we might want to analyze food flows. We might, for example, want to identify strengths and weaknesses in the supply chain for certain foods to assist with emergency or disaster management planning (Schreiber et al. 2021). Or we might want to understand or promote the degree to which food consumed in a region is produced locally, driven by concerns about food access, healthy eating and environmental and economic sustainability (Wertheim-Heck et al. 2018).

So why are we undertaking a study of food flows in HRM? Our aim is unique. We are using food flows to help clarify the policy environment around food in the Halifax Region – to identify and understand the network of collective decisions involved in governing that food system. As we describe in more detail here, policymaking around food increasingly takes place within networks of government, non-government and private actors. Building up a realistic picture of those networks involves tracing the connections between seemingly disconnected issues (like food safety regulation and food waste), complex legal and policy instruments, and different actors working across the system. We can trace (and are tracing) these connections by linking up issues, policies or decision-making forums to one another. But we can only fully understand these networks by also tracing the flow of food (the system’s “resource units”) itself.

For example, some proportion of food consumed in HRM, like in all cities, is sourced from international imports. Studying food flows in the region might tell us what proportion of certain foods are imported internationally (versus inter-provincially and intra-provincially). But, for a coastal city like Halifax, studying international food flows can also reveal who is an important actor in governing the region’s food system. Seeing how much of HRM’s food moves through the Port of Halifax raises the question of how key decisions taken by the Halifax Port Authority (HPA)–a federally regulated Crown corporation–shape or impact the region’s food supply. Putting food flows in this context helps us to situate the HPA in the network of actors and decisions that govern food in the region

Sources Cited

Moschitz, Heidrun, and Rebekka Frick. 2020. “City Food Flow Analysis. A New Method to Study Local Consumption.” Renewable Agriculture and Food Systems 35: 1–13.

Schreiber, Kerstin, Gordon M Hickey, Geneviève S Metson, Brian E Robinson, and Graham K MacDonald. 2021. “Quantifying the Foodshed: A Systematic Review of Urban Food Flow and Local Food Self-Sufficiency Research.” Environmental Research Letters 16 (2): 023003.

Wertheim-Heck, Sigrid, Melika Levelt, Lisa Ten Brug, and Jessica Van Bossum. 2018. Advancing the Evidence Base for Sustainable City-Region Food Systems. MDPI.

Jamie Baxter
Jamie Baxter
Associate Professor

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