Talissa Watson and Brendan Sweeney

As Ontario communities continue their phased-in approach to re-opening the economy, manufacturers have become increasingly preoccupied with maintaining the production of necessary goods while ensuring the safety of employees, contractors, and the general public. Manufacturing is a critical component of Ontario’s economy, accounting for approximately 12 percent of GDP. Furthermore, according to a recent Trillium Network for Advanced Manufacturing study, Ontario is home to one of the most diverse manufacturing sectors in North America. The level of risk related to COVID-19 is similarly diverse across different segments of manufacturing. As such, manufacturers may require risk mitigation strategies tailored to each segment. 

The purpose of this project is to assess the level of risk faced by different sectors and sub-sectors of Ontario manufacturing. Some recent work, notably that of Green, Siu, and their colleagues at the University of British Columbia, provides a useful starting point for such assessments. However, our goal was to develop a tool that incorporates multiple variables that reflect the reality of production and employment in specific sub-sectors of manufacturing. This may inform and support efforts to develop sector-specific strategies to mitigate risk. 

The modelled results are generally consistent with the experiences of Ontario manufacturers during the COVID-19 pandemic. Food manufacturing industries – especially meat processing and bakeries – ranked high on our risk assessment index. The automotive industry also ranked high, largely due to the large number of persons working on-site and the substantial proportion of production-focused employees relative to professional and managerial employees. However, the sophisticated and proactive approaches taken by automotive industry stakeholders is proving highly successful in mitigating risk. Continuous process industries, such as petro-chemical manufacturing, tended to rank low, as did pharmaceutical and aerospace product manufacturing. 

The Trillium COVID-19 Risk Assessment Index

We used four variables to assess the level of risk in specific sub-sectors of Ontario manufacturing. These include: 

  1. Capital Intensity. The more capital intensive, the lower the level of risk (and vice versa).
  2. Ability to Work Remotely. The higher the proportion of employees that are able to work remotely some or most of the time, the lower the level of risk.
  3. Employee Behaviour. Many employees may have the ability to work remotely, but do not. The more likely an employee who is able to work remotely actually does work remotely, the lower the level of risk. 
  4. Work Context and Activities. A number of contextual factors impact an employee’s level of risk. These include exposure to contaminants, the extent to which they handle materials, the use of personal protective equipment (PPE), and the extent to which they interact with others. These are all important factors in assessing risk.

To develop the index, we assigned a weight to each variable in order to compute a score for each segment. The indexed scores ranged from 0 to 100, where the higher the score, the greater the risk. In general, we found that occupational characteristics within a sub-sector played a more significant role in the level of risk within an industry than did capital intensity. This is evidenced by the high ranking attributed to the highly-capital intensive automotive industry, where a small proportion of employees are able to work remotely, large numbers employees work in relatively close proximity, and employees are required to handle material frequently. A full review of our methodology is available here

Results

The graphic immediately below illustrates the assessed level of risk within different sectors and sub-sectors of Ontario manufacturing relative to those sectors’ proportion of manufacturing employment. (Note that only 11 sectors of Ontario manufacturing are illustrated – these sectors span 53 sub-sectors that comprise over 80 percent of Ontario manufacturing employment when combined). As is evident, many of the largest sub-sectors of Ontario manufacturing in terms of employment – specifically those within transportation equipment and food manufacturing – rank among the highest according to our index. These data are also available in the sortable/searchable table at the bottom of this post. 

Note: the interactive graphic is optimally viewed in landscape/horizontally on phones and/or tablets.

Implications  

The Trillium COVID-19 Risk Assessment Index provides detailed insight into the level of risk within manufacturing industry sub-sectors in the context of the COVID-19 pandemic. While capital intensity is a factor, the occupational characteristics of each sub-sector are most relevant. 

Many manufacturers have developed new protocols to mitigate risk and keep employees safe as the result of the COVID-19 pandemic. Automotive industry employers provide an excellent example of the types of practices and protocols that are effective in mitigating risk, and should be lauded for their proactive efforts. The food manufacturing industry – especially meat processing and bakeries – may find value in exploring similar approaches customized for context, and to do so in a timely manner. Maple Leaf Foods, one of Canada’s largest manufacturing employers, has published a guidebook similar in intent to those published by automotive manufacturers such as General Motors, Ford, and Magna (Canada’s largest manufacturing employer). 

It is also possible that many of the new protocols and practices implemented to mitigate risk during the COVID-19 pandemic will become the ‘next normal’. If this is indeed the case Ontario manufacturers’ demand for PPE will be substantial. This index can help manufacturers, governments, and other stakeholders forecast the demand for PPE, which could potentially lay the groundwork for local investments in PPE manufacturing capacity. Moreover, the index can be modified to assess the risk in other important sectors of Ontario’s economy, such as healthcare, power generation, education, and retail. 

Manufacturing is critical to Ontario’s well-being. It is thus critical to mitigate the risks present within all sectors and sub-sectors of manufacturing in order to ensure public health and maintain the production of important goods. Better understanding risk plays an important role here, and we are looking forward to learning more about the practices and protocols that firms implement to mitigate risks in the near future. 

SectorSub-SectorScoreEmployment
FoodMeat Products 10020,866
Transportation EquipmentMotor Vehicles97.2437,658
FoodBakeries & Tortillas97.0823,738
Primary MetalsFoundries92.54,257
Transportation EquipmentMotor Vehicle Bodies & Trailers 90.224,512
Metal FabricationMachine Shops89.0514,908
Primary MetalsAlumina & Aluminum Products87.992,725
Metal FabricationForging & Stamping87.493,633
Plastic & Rubber ProductsRubber Products 87.425,477
Transportation EquipmentMotor Vehicle Parts 87.3966,416
FoodSeafood Products87.37634
Furniture & Related ProductsHousehold Furniture & Cabinetry87.2513,274
Primary MetalsIron & Steel Mills85.213,276
Plastic & Rubber ProductsPlastic Products 85.0343,235
Metal FabricationCoating, Engraving, Cold & Heat Treating84.595,884
FoodSugar & Confectionery Products 80.144,109
Metal FabricationArchitectural & Structural Metals 80.0722,609
Metal FabricationSpring & Wire Products 79.982,035
Metal FabricationBoiler, Tank & Shipping Containers79.754,250
FoodDairy Products 78.889,855
Primary MetalsSteel Products 78.714,542
Furniture & Related ProductsOther Furniture Related Products 77.441,888
FoodFruit, Vegetable & Specialty Food Products76.176,256
MachineryMetalworking Machinery 75.7115,683
Furniture & Related ProductsOffice Furniture (Including Fixtures) 74.7113,108
Metal FabricationHardware74.214,513
Primary MetalsNon-Ferrous Metals (Except Aluminum)74.174,285
FoodOther Food Products72.2613,917
Metal FabricationCutlery & Hand Tools71.2412,339
Transportation EquipmentRailroad Rolling Stock69.183,074
FoodGrain & Oilseed Milling68.23,087
MachineryHVAC & Refrigeration Equipment 66.816,158
ChemicalsResin & Synthetic Rubber, Fibres & Filaments65.432,914
MachineryAgricultural, Construction & Mining Machinery 64.459,109
FoodAnimal Food63.414,150
Beverage & Tobacco ProductsBeverage & Tobacco Products60.2320,223
MachineryEngine, Turbine & Power Transmission Equipment 57.191,608
Miscellaneous ProductsOther Miscellaneous Products56.5415,869
ChemicalsPaint, Coatings & Adhesives56.073,808
Petroleum & Coal Products Petroleum & Coal Products 55.936,750
MachineryOther General-Purpose Machinery 54.5816,468
ChemicalsSoap, Cleaning & Toilet Preparation Products50.549,657
ChemicalsPesticide, Fertilizer & Agricultural Chemicals48.381,539
ChemicalsOther Chemicals 48.265,025
Transportation EquipmentAerospace Products & Parts 44.7514,145
ChemicalsBasic Chemicals 40.415,927
MachineryIndustrial, Commercial & Service Industry Machinery38.2214,926
Computers & ElectronicsSemiconductor & Other Electronic Components35.427,856
Miscellaneous ProductsMedical Equipment & Supplies 21.9410,019
ChemicalsPharmaceuticals & Medicine 20.0815,623
Computers & ElectronicsCommunications Equipment 13.36,783
Computers & ElectronicsOther Electronic Products12.786,430
Computers & ElectronicsComputer & Peripheral Equipment 03,972