International site selection for manufacturing plants is a complex proposition. Companies that are seeking to build or lease manufacturing facilities across borders need to investigate many factors to ensure that they make location decisions with the appropriate level of rigor, accuracy, and, ultimately, confidence.
One of the most important site-selection factors—one that sometimes is not fully considered—is the foreign enterprise income tax. This is a corporate income tax that a company is required to pay to federal, state/provincial, and local governments based on the level of taxable income it has generated in a country.
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[Figure 1] Before- and after-tax financial model outputEnlarge this image
In our experience, it is important for international manufacturers to take a holistic approach that considers both before- and after-tax profit when assessing the merits of potential plant locations. There are good reasons to do so. For one thing, direct-investment projects by manufacturing companies, especially those that produce high-margin products, commonly result in a large amount of taxable income and a potentially significant tax liability in the country in which they establish operations. For another, the answer to the question of which is the best location for an investment can differ depending on tax factors.
Framing location trade-offs
Any company that is seeking to establish international manufacturing operations must carefully weigh the impact of operating-cost inputs that will affect the project's financial performance. Examples include labor, transportation, logistics, utility costs, land costs, taxes, and so forth. Performance measures vary depending on the organization, but they often include return on invested capital (ROIC), the project's impact on earnings per share, and pre- and post-tax cost per unit of production.
For many manufacturing companies, labor as well as transportation and logistics are the geographically variable considerations that exert the greatest influence on a project's financials. In high-margin industries that produce large amounts of taxable income, however, foreign enterprise income tax can have an even greater impact on project financials than either of those factors. In those types of industries, therefore, a location decision can be heavily influenced by in-country tax rates and the country's permitted investment structures. Examples of permitted investment structures, which vary from country to country, include wholly owned foreign enterprises and "toll manufacturing." The latter, in which a firm processes raw materials or semi-finished goods for another firm, is an arrangement that can reduce taxable income.
Although manufacturing companies must consider many factors when making site-selection decisions, they often find that a single geographically variable cost input most heavily influences the location decision. For the purposes of this discussion, we refer to this type of critical cost driver as an "investment optimization model." Three common examples include:
Labor optimization model—This model is common to industries or products in which the most significant geographically variable cost input is labor. Such an operation is likely to be labor-intensive, with low levels of automation, low margins, and a shipping profile that typically is characterized by high-volume, low-weight products. Countries that might be favorable locations for a company with this type of profile include India, China, Thailand, and Vietnam, among others.
Logistics optimization model—This type of model is common to industries or products in which the most significant geographically variable cost input is transportation. Such an operation is often characterized by heavy or bulky goods that are costly to transport, a more automated production process (which reduces labor content), low- to moderatemargin products, and a need for production to be proximate to the destination—that is, the revenueproducing—markets. Some examples of countries that currently align with this profile include Mexico (in support of the United States) and Central and Eastern Europe (in support of Western Europe).
Tax optimization model—This model is common to industries in which the most significant geographically variable cost input is direct tax. Such an operation is likely to be a manufacturer with a highly automated manufacturing process producing high-margin products that are regulated in some form. Just two examples of products that fit this profile include onpatent drugs and medical devices. Countries that would be appropriate locations for companies with this operating profile are those that apply a low tax on foreign investors' net income. They include Ireland, with a tax rate of 12 percent, and Singapore, Switzerland, and Puerto Rico, all of which assess tax rates as low as 0 percent.
These are not the only models for manufacturing companies to consider when they are making international site-selection decisions. As noted earlier, in practice, optimizing a directinvestment decision requires companies to consider a complex set of factors. Moreover, some optimization considerations are specific to certain industries; one example is the cost of electricity for the solar manufacturing industry.
Taxes change the cost picture
The only way to capture the true impact of corporate income tax on a location decision is to develop a financial model that shows both the before- and aftertax implications of the proposed investment. One company's experience, outlined below, illustrates how the tax-cost factor can affect the overall cost of a high-margin, direct-investment manufacturing project. (The company cannot be identified, but the siteselection project and the results discussed here reflect its actual experience.)
The company, a manufacturer of medical devices, needed a new location for a manufacturing plant. The project's objective was to establish the operation in a location that would be globally cost-competitive over 10- and 15-year analysis periods. The project's leadership was charged with determining whether a taxadvantaged, low-operating-cost, or customer-proximate location represented the best option.
Figure 1 illustrates the influence of income tax on project financials and the extent to which it affected the relative attractiveness of the locations under consideration. This graphic clearly illustrates the potential risk in developing a location strategy without considering income tax.
The following key observations emerge from the before- and after-tax assessment:
Location A (tax-advantaged location): This was the highest-cost option before tax. But when tax was incorporated into the financial analysis, Location A's low corporate income tax made it competitive.
Location B (tax-incentivized location): Despite having higher before-tax costs, significant tax incentives— zero income tax for a period of 10 years, in this case—made Location B the most cost-competitive of the four locations.
Location C (low-operating-cost location): The lowest-cost location before tax, Location C became less competitive due to its burdensome corporate income-tax structure.
The United States: The United States was the second-lowest-cost location before tax, but it became the most expensive site candidate after taxes were factored in.
As you might imagine, modeling the tax impact of these sorts of international site-selection projects is not easy. Complicating matters is the fact that the modeling tools that many companies use to help them select facility locations commonly focus on pre-tax operating costs and do not consider the impact of direct taxes. To compensate for this shortcoming, companies can (and should) assemble an internal team of professionals from their supply chain, procurement, tax, finance, sales and marketing, engineering, real estate, and human resources organizations to provide the subject-matter expertise that will be needed to develop a complete view of an investment's financials.
Consider the cost consequences
For industries producing high-margin products, it is critical to incorporate corporate income tax into any financial assessment of potential manufacturing locations. Failure to do so can result in the selection of a financially disadvantaged location. But this advice is not limited to manufacturers of high-margin products. It is also prudent for industries producing lower-margin products to include tax analysis in their location strategies. This is because many countries offer incentives that have the potential to reduce investors' tax liability for an extended period and, as a result, could change the desirability of a candidate location for manufacturing.
In a statement, DCA airport officials said they would open the facility again today for flights after planes were grounded for more than 12 hours. “Reagan National airport will resume flight operations at 11:00am. All airport roads and terminals are open. Some flights have been delayed or cancelled, so passengers are encouraged to check with their airline for specific flight information,” the facility said in a social media post.
An investigation into the cause of the crash is now underway, being led by the National Transportation Safety Board (NTSB) and assisted by the Federal Aviation Administration (FAA). Neither agency had released additional information yet today.
First responders say nearly 70 people may have died in the crash, including all 60 passengers and four crew on the American Airlines flight and three soldiers in the military helicopter after both aircraft appeared to explode upon impact and fall into the Potomac River.
Editor's note:This article was revised on February 3.
Artificial intelligence (AI) and the economy were hot topics on the opening day of SMC3 Jump Start 25, a less-than-truckload (LTL)-focused supply chain event taking place in Atlanta this week. The three-day event kicked off Monday morning to record attendance, with more than 700 people registered, according to conference planners.
The event opened with a keynote presentation from AI futurist Zack Kass, former head of go to market for OpenAI. He talked about the evolution of AI as well as real-world applications of the technology, furthering his mission to demystify AI and make it accessible and understandable to people everywhere. Kass is a speaker and consultant who works with businesses and governments around the world.
The opening day also featured a slate of economic presentations, including a global economic outlook from Dr. Jeff Rosensweig, director of the John Robson Program for Business, Public Policy, and Government at Emory University, and a “State of LTL” report from economist Keith Prather, managing director of Armada Corporate Intelligence. Both speakers pointed to a strong economy as 2025 gets underway, emphasizing overall economic optimism and strong momentum in LTL markets.
Other highlights included interviews with industry leaders Chris Jamroz and Rick DiMaio. Jamroz is executive chairman of the board and CEO of Roadrunner Transportation Systems, and DiMaio is executive vice president of supply chain for Ace Hardware.
Jump Start 25 runs through Wednesday, January 29, at the Renaissance Atlanta Waverly Hotel & Convention Center.
That is important because the increased use of robots has the potential to significantly reduce the impact of labor shortages in manufacturing, IFR said. That will happen when robots automate dirty, dull, dangerous or delicate tasks – such as visual quality inspection, hazardous painting, or heavy lifting—thus freeing up human workers to focus on more interesting and higher-value tasks.
To reach those goals, robots will grow through five trends in the new year, the report said:
1 – Artificial Intelligence. By leveraging diverse AI technologies, such as physical, analytical, and generative, robotics can perform a wide range of tasks more efficiently. Analytical AI enables robots to process and analyze the large amounts of data collected by their sensors. This helps to manage variability and unpredictability in the external environment, in “high mix/low-volume” production, and in public environments. Physical AI, which is created through the development of dedicated hardware and software that simulate real-world environments, allows robots to train themselves in virtual environments and operate by experience, rather than programming. And Generative AI projects aim to create a “ChatGPT moment” for Physical AI, allowing this AI-driven robotics simulation technology to advance in traditional industrial environments as well as in service robotics applications.
2 – Humanoids.
Robots in the shape of human bodies have received a lot of media attention, due to their vision where robots will become general-purpose tools that can load a dishwasher on their own and work on an assembly line elsewhere. Start-ups today are working on these humanoid general-purpose robots, with an eye toward new applications in logistics and warehousing. However, it remains to be seen whether humanoid robots can represent an economically viable and scalable business case for industrial applications, especially when compared to existing solutions. So for the time being, industrial manufacturers are still focused on humanoids performing single-purpose tasks only, with a focus on the automotive industry.
3 – Sustainability – Energy Efficiency.
Compliance with the UN's environmental sustainability goals and corresponding regulations around the world is becoming an important requirement for inclusion on supplier whitelists, and robots play a key role in helping manufacturers achieve these goals. In general, their ability to perform tasks with high precision reduces material waste and improves the output-input ratio of a manufacturing process. These automated systems ensure consistent quality, which is essential for products designed to have long lifespans and minimal maintenance. In the production of green energy technologies such as solar panels, batteries for electric cars or recycling equipment, robots are critical to cost-effective production. At the same time, robot technology is being improved to make the robots themselves more energy-efficient. For example, the lightweight construction of moving robot components reduces their energy consumption. Different levels of sleep mode put the hardware in an energy saving parking position. Advances in gripper technology use bionics to achieve high grip strength with almost no energy consumption.
4 – New Fields of Business.
The general manufacturing industry still has a lot of potential for robotic automation. But most manufacturing companies are small and medium-sized enterprises (SMEs), which means the adoption of industrial robots by SMEs is still hampered by high initial investment and total cost of ownership. To address that hurdle, Robot-as-a-Service (RaaS) business models allow enterprises to benefit from robotic automation with no fixed capital involved. Another option is using low-cost robotics to provide a “good enough” product for applications that have low requirements in terms of precision, payload, and service life. Powered by the those approaches, new customer segments beyond manufacturing include construction, laboratory automation, and warehousing.
5 – Addressing Labor Shortage.
The global manufacturing sector continues to suffer from labor shortages, according to the International Labour Organisation (ILO). One of the main drivers is demographic change, which is already burdening labor markets in leading economies such as the United States, Japan, China, the Republic of Korea, or Germany. Although the impact varies from country to country, the cumulative effect on the supply chain is a concern almost everywhere.
Cargo theft activity across the United States and Canada reached unprecedented levels in 2024, with 3,625 reported incidents representing a stark 27% increase from 2023, according to an annual analysis from CargoNet.
The estimated average value per theft also rose, reaching $202,364, up from $187,895 in 2023. And the increase was persistent, as each quarter of 2024 surpassed previous records set in 2023.
According to Cargonet, the data suggests an evolving and increasingly sophisticated threat landscape in cargo theft, with criminal enterprises demonstrating tactical adaptability in both their methods and target selection.
For example, notable shifts occurred in targeted commodities during 2024. While 2023 saw frequent theft of engine oils, fluids, solar energy products, and energy drinks, 2024 marked a strategic pivot by criminal enterprises. New targets included raw and finished copper products, consumer electronics (particularly audio equipment and high-end servers), and cryptocurrency mining hardware. The analysis also revealed increased targeting of specific consumable goods, including produce like avocados and nuts, along with personal care products ranging from cosmetics to vitamins and supplements, especially protein powder.
Geographic trends show California and Texas experiencing the most significant increases in theft activity. California reported a 33% rise in incidents, while Texas saw an even more dramatic 39% surge. The five most impacted counties all reported substantial increases, led by Dallas County, Texas, with a 78% spike in reported incidents. Los Angeles County, California, traditionally a high-activity area, saw a 50% increase while neighboring San Bernardino County experienced a 47% rise.
Manufacturing and logistics workers are raising a red flag over workplace quality issues according to industry research released this week.
A comparative study of more than 4,000 workers from the United States, the United Kingdom, and Australia found that manufacturing and logistics workers say they have seen colleagues reduce the quality of their work and not follow processes in the workplace over the past year, with rates exceeding the overall average by 11% and 8%, respectively.
The study—the Resilience Nation report—was commissioned by UK-based regulatory and compliance software company Ideagen, and it polled workers in industries such as energy, aviation, healthcare, and financial services. The results “explore the major threats and macroeconomic factors affecting people today, providing perspectives on resilience across global landscapes,” according to the authors.
According to the study, 41% of manufacturing and logistics workers said they’d witnessed their peers hiding mistakes, and 45% said they’ve observed coworkers cutting corners due to apathy—9% above the average. The results also showed that workers are seeing colleagues take safety risks: More than a third of respondents said they’ve seen people putting themselves in physical danger at work.
The authors said growing pressure inside and outside of the workplace are to blame for the lack of diligence and resiliency on the job. Internally, workers say they are under pressure to deliver more despite reduced capacity. Among the external pressures, respondents cited the rising cost of living as the biggest problem (39%), closely followed by inflation rates, supply chain challenges, and energy prices.
“People are being asked to deliver more at work when their resilience is being challenged by economic and political headwinds,” Ideagen’s CEO Ben Dorks said in a statement announcing the findings. “Ultimately, this is having a determinantal impact on business productivity, workplace health and safety, and the quality of work produced, as well as further reducing the resilience of the nation at large.”
Respondents said they believe technology will eventually alleviate some of the stress occurring in manufacturing and logistics, however.
“People are optimistic that emerging tech and AI will ultimately lighten the load, but they’re not yet feeling the benefits,” Dorks added. “It’s a gap that now, more than ever, business leaders must look to close and support their workforce to ensure their staff remain safe and compliance needs are met across the business.”