Ricardo's "comparative advantage" still holds true today
The 19th-century British economist David Ricardo recognized that even when a nation is more efficient than another at producing all goods, it benefits by focusing on the one for which it is internally most efficient, and trading for the others.
Globalization, connectivity, trade liberalization, and technological innovation have all had a deep and lasting effect on international trade patterns and supply chain dynamics over the last 20 years. Although the way we conduct business in general and world trade in particular has changed a great deal, the fundamental principle that determines the direction of trade—that is, which countries produce what, and who imports from whom—has not changed. The major driver of world trade integration today continues to be the 19th-century British economist David Ricardo's often cited but little understood idea of "comparative advantage."
Ricardo (1772-1823) is best known for his classic work On the Principles of Political Economy and Taxation (1817), in which he adapted, reworked, and extended the works of other economist-philosophers such as Adam Smith, author of the seminal 1776 book The Wealth of Nations, and Ricardo's mentor, James Mill.
[Figure 2] Purchasing managers' indexes for manufacturingEnlarge this image
While David Ricardo's main contributions related to the "labor theory of value" (an economic theory, first proposed by Smith, that the value of a product depends upon the labor required to produce it) he also extended Smith's and other 18th-century free-traders' advocacy of free trade, anti-protectionism, and the importance of free interplay in the international division of labor.
Smith and other free traders had emphasized "absolute advantage," which said that nations should specialize in whatever they are best or most efficient at producing. Ricardo, however, demonstrated that "comparative advantage" also influences free trade. This principle holds that a country will profit by producing the product or commodity for which it enjoys a lower **italic{relative internal} opportunity cost, and then trading it for the ones other countries can produce at a lower relative internal opportunity cost.
Ricardo demonstrated that even when a nation is more efficient than another at producing all goods, it should focus on the one for which it is internally most efficient, and trade for the others. He brilliantly showed this with his famous example of English and Portuguese cloth and wine production.
In his example (Figure 1), Portugal could produce both wine and cloth with fewer resources (labor) than England could, but Portugal required **italic{relatively} more resources to produce cloth than wine. Ricardo used simple, deductive logic to show that since wine was harder to produce in England than cloth, both countries would increase both the volume and profits from trade if Portugal focused on wine production while England focused on the production of cloth, and they imported each other's product.
In Ricardo's example, it is assumed that cloth and wine are exchanged in standardized quantities at a homogenous international price. According to the law of comparative advantage, gains will be maximized if England exports cloth, which involves 100 labor hours, while importing Portuguese wine, which requires 80 work hours in Portugal (compared to 120 in England). Even though Portugal can produce cloth with less labor than England does, it has a greater comparative advantage in production costs for wine than for cloth. Portugal should therefore export wine and import cloth from England, thereby reducing its labor hours by 10. In other words, through free trade Portugal and England can both reduce their labor hours and redirect those resources to their best relative use.
Thus, the direction of trade is not determined by the absolute advantage in the production process that one country has compared to another, but rather by the internal, relative advantage necessary to produce alternative products. The key implication of the law of comparative advantage is that if free trade is allowed, then all nations can and will be integrated through the international division of labor. No nation is so poor or inefficient that it cannot gain from free trade.
The perils of overspecialization
There have been many modern, theoretical extensions of Ricardo's work on free trade, as well as qualifications related to transaction costs. However, as is easily seen from the above example, free trade generates a high degree of specialization that has the added benefits of economies of scale via the division of labor, as described by Adam Smith:
"As it is the power of exchanging that gives occasion to the division of labor, so the extent of this division must always be limited by the extent of that power, or, in other words, by the extent of the market."
Therefore, as the size of the market expands, so do the extent of labor specialization and the overall benefit to society.
The level of trade globalization and integration has increased at a rapid pace in the last three decades. The entry of China into the World Trade Organization (WTO) and the economic paradigm shifts of India and many other developing countries toward free-market economies have increased global trade volumes and supply chain dynamics. Clearly—as predicted by Ricardo—the world has moved closer to a highly specialized universe of comparative advantage.
A look at world trade patterns today supports that observation. Certain areas of China, for example, are producing the vast majority of the world's low-end, traded consumer goods; Thailand is a key source of electronic component production; India hosts a cluster of call centers and outsourced information technology services. Many of these centers benefit from economies of scale and agglomeration, and are a key source of world profits for multinational corporations.
The combination of specialized, globalized production and, to a lesser extent, the adoption of "lean" inventory practices (such as just-in-time and build-to-order) has helped many companies achieve significant financial success and has provided many countries with development opportunities. However, such specialization has its downside. In Ricardo's example, a storm that would wipe out the clothing industry in England would leave both countries without new clothing, while a drop in the price of wine due to changing tastes or prohibition in England would devastate the Portuguese economy.
As the events of the past several years have shown lean, inventory-constrained global supply chains have become more vulnerable to highly disruptive supply-side shocks, such as natural disasters, political unrest, government instability, or exchange-rate volatility, in addition to the impacts of the usual demand-side shocks. One example is that of the extreme flooding in Thailand in October 2011, which devastated a key global center of hard disk-drive production. According to some estimates, Thailand produces more than 70 percent of the world's hard drives.
As Ricardo's theory suggests, the impact of a negative event in one source country can have wide-ranging impacts on trade flows across the world. This is especially true today since all advanced economies, as well as most developing ones, are highly integrated with each other via trade and financial markets. This connection can be seen through the highly correlated Purchasing Managers' Indexes (PMI) for manufacturing in the United States, the euro zone, the United Kingdom, China, and Brazil (Figure 2). While emerging markets have recently led the global expansion, they have not been able to decouple from the more advanced economies. This illustrates the fact that economic or political events in one country or region can have significant consequences around the world.
The key point is that companies that keep inventories lean and depend on a limited number of specialized centers of production remain highly vulnerable to supply chain disruptions. They can be negatively and significantly affected by small cracks in the supply chain that iterate throughout the international trade system.
Given that specialization of labor and production will continue to drive global trade integration, as noted by David Ricardo two centuries ago, supply chain managers must recognize that their trade networks will remain vulnerable, exposed to events in distant places where little control can be exerted. And since they cannot evade these global economic forces, supply chain managers should focus on what they can do: building key redundancies and backup plans, and avoiding an over-reliance on what may appear efficient but is in fact very fragile.
Businesses engaged in international trade face three major supply chain hurdles as they head into 2025: the disruptions caused by Chinese New Year (CNY), the looming threat of potential tariffs on foreign-made products that could be imposed by the incoming Trump Administration, and the unresolved contract negotiations between the International Longshoremen’s Association (ILA) and the U.S. Maritime Alliance (USMX), according to an analysis from trucking and logistics provider Averitt.
Each of those factors could lead to significant shipping delays, production slowdowns, and increased costs, Averitt said.
First, Chinese New Year 2025 begins on January 29, prompting factories across China and other regions to shut down for weeks, typically causing production to halt and freight demand to skyrocket. The ripple effects can range from increased shipping costs to extended lead times, disrupting even the most well-planned operations. To prepare for that event, shippers should place orders early, build inventory buffers, secure freight space in advance, diversify shipping modes, and communicate with logistics providers, Averitt said.
Second, new or increased tariffs on foreign-made goods could drive up the cost of imports, disrupt established supply chains, and create uncertainty in the marketplace. In turn, shippers may face freight rate volatility and capacity constraints as businesses rush to stockpile inventory ahead of tariff deadlines. To navigate these challenges, shippers should prepare advance shipments and inventory stockpiling, diversity sourcing, negotiate supplier agreements, explore domestic production, and leverage financial strategies.
Third, unresolved contract negotiations between the ILA and the USMX will come to a head by January 15, when the current contract expires. Labor action or strikes could cause severe disruptions at East and Gulf Coast ports, triggering widespread delays and bottlenecks across the supply chain. To prepare for the worst, shippers should adopt a similar strategy to the other potential January threats: collaborate early, secure freight, diversify supply chains, and monitor policy changes.
According to Averitt, companies can cushion the impact of all three challenges by deploying a seamless, end-to-end solution covering the entire path from customs clearance to final-mile delivery. That strategy can help businesses to store inventory closer to their customers, mitigate delays, and reduce costs associated with supply chain disruptions. And combined with proactive communication and real-time visibility tools, the approach allows companies to maintain control and keep their supply chains resilient in the face of global uncertainties, Averitt said.
Specifically, the new global average robot density has reached a record 162 units per 10,000 employees in 2023, which is more than double the mark of 74 units measured seven years ago.
Broken into geographical regions, the European Union has a robot density of 219 units per 10,000 employees, an increase of 5.2%, with Germany, Sweden, Denmark and Slovenia in the global top ten. Next, North America’s robot density is 197 units per 10,000 employees – up 4.2%. And Asia has a robot density of 182 units per 10,000 persons employed in manufacturing - an increase of 7.6%. The economies of Korea, Singapore, mainland China and Japan are among the top ten most automated countries.
Broken into individual countries, the U.S. ranked in 10th place in 2023, with a robot density of 295 units. Higher up on the list, the top five are:
The Republic of Korea, with 1,012 robot units, showing a 5% increase on average each year since 2018 thanks to its strong electronics and automotive industries.
Singapore had 770 robot units, in part because it is a small country with a very low number of employees in the manufacturing industry, so it can reach a high robot density with a relatively small operational stock.
China took third place in 2023, surpassing Germany and Japan with a mark of 470 robot units as the nation has managed to double its robot density within four years.
Germany ranks fourth with 429 robot units for a 5% CAGR since 2018.
Japan is in fifth place with 419 robot units, showing growth of 7% on average each year from 2018 to 2023.
Progress in generative AI (GenAI) is poised to impact business procurement processes through advancements in three areas—agentic reasoning, multimodality, and AI agents—according to Gartner Inc.
Those functions will redefine how procurement operates and significantly impact the agendas of chief procurement officers (CPOs). And 72% of procurement leaders are already prioritizing the integration of GenAI into their strategies, thus highlighting the recognition of its potential to drive significant improvements in efficiency and effectiveness, Gartner found in a survey conducted in July, 2024, with 258 global respondents.
Gartner defined the new functions as follows:
Agentic reasoning in GenAI allows for advanced decision-making processes that mimic human-like cognition. This capability will enable procurement functions to leverage GenAI to analyze complex scenarios and make informed decisions with greater accuracy and speed.
Multimodality refers to the ability of GenAI to process and integrate multiple forms of data, such as text, images, and audio. This will make GenAI more intuitively consumable to users and enhance procurement's ability to gather and analyze diverse information sources, leading to more comprehensive insights and better-informed strategies.
AI agents are autonomous systems that can perform tasks and make decisions on behalf of human operators. In procurement, these agents will automate procurement tasks and activities, freeing up human resources to focus on strategic initiatives, complex problem-solving and edge cases.
As CPOs look to maximize the value of GenAI in procurement, the study recommended three starting points: double down on data governance, develop and incorporate privacy standards into contracts, and increase procurement thresholds.
“These advancements will usher procurement into an era where the distance between ideas, insights, and actions will shorten rapidly,” Ryan Polk, senior director analyst in Gartner’s Supply Chain practice, said in a release. "Procurement leaders who build their foundation now through a focus on data quality, privacy and risk management have the potential to reap new levels of productivity and strategic value from the technology."
Businesses are cautiously optimistic as peak holiday shipping season draws near, with many anticipating year-over-year sales increases as they continue to battle challenging supply chain conditions.
That’s according to the DHL 2024 Peak Season Shipping Survey, released today by express shipping service provider DHL Express U.S. The company surveyed small and medium-sized enterprises (SMEs) to gauge their holiday business outlook compared to last year and found that a mix of optimism and “strategic caution” prevail ahead of this year’s peak.
Nearly half (48%) of the SMEs surveyed said they expect higher holiday sales compared to 2023, while 44% said they expect sales to remain on par with last year, and just 8% said they foresee a decline. Respondents said the main challenges to hitting those goals are supply chain problems (35%), inflation and fluctuating consumer demand (34%), staffing (16%), and inventory challenges (14%).
But respondents said they have strategies in place to tackle those issues. Many said they began preparing for holiday season earlier this year—with 45% saying they started planning in Q2 or earlier, up from 39% last year. Other strategies include expanding into international markets (35%) and leveraging holiday discounts (32%).
Sixty percent of respondents said they will prioritize personalized customer service as a way to enhance customer interactions and loyalty this year. Still others said they will invest in enhanced web and mobile experiences (23%) and eco-friendly practices (13%) to draw customers this holiday season.
The practice consists of 5,000 professionals from Accenture and from Avanade—the consulting firm’s joint venture with Microsoft. They will be supported by Microsoft product specialists who will work closely with the Accenture Center for Advanced AI. Together, that group will collaborate on AI and Copilot agent templates, extensions, plugins, and connectors to help organizations leverage their data and gen AI to reduce costs, improve efficiencies and drive growth, they said on Thursday.
Accenture and Avanade say they have already developed some AI tools for these applications. For example, a supplier discovery and risk agent can deliver real-time market insights, agile supply chain responses, and better vendor selection, which could result in up to 15% cost savings. And a procure-to-pay agent could improve efficiency by up to 40% and enhance vendor relations and satisfaction by addressing urgent payment requirements and avoiding disruptions of key services
Likewise, they have also built solutions for clients using Microsoft 365 Copilot technology. For example, they have created Copilots for a variety of industries and functions including finance, manufacturing, supply chain, retail, and consumer goods and healthcare.
Another part of the new practice will be educating clients how to use the technology, using an “Azure Generative AI Engineer Nanodegree program” to teach users how to design, build, and operationalize AI-driven applications on Azure, Microsoft’s cloud computing platform. The online classes will teach learners how to use AI models to solve real-world problems through automation, data insights, and generative AI solutions, the firms said.
“We are pleased to deepen our collaboration with Accenture to help our mutual customers develop AI-first business processes responsibly and securely, while helping them drive market differentiation,” Judson Althoff, executive vice president and chief commercial officer at Microsoft, said in a release. “By bringing together Copilots and human ambition, paired with the autonomous capabilities of an agent, we can accelerate AI transformation for organizations across industries and help them realize successful business outcomes through pragmatic innovation.”