Picture the world in 2050, just 25 years from now. Will factories in Bangladesh produce goods as efficiently as those in Japan? Will India's economy finally rival that of the United States? These aren't just abstract questions, they're about the economic futures of billions.🧵👇
For decades, economists held what seemed like ironclad logic, poor countries should grow faster than rich ones. If you're starting from almost nothing, you have enormous room to grow, right? You can copy technologies, learn from mistakes, and leapfrog entire stages of development.
This "convergence hypothesis" suggested developing nations would naturally catch up to developed ones. It painted a picture of a world where global inequality was just a temporary phase. It was a beautiful, hopeful theory. Unfortunately, reality has been far more complicated.
When researchers Paul Johnson and Chris Papageorgiou analyzed data from 182 countries, they found little evidence that national economies are catching up to their richest peers. High-income countries tended to grow faster than middle-income countries.
Even worse, low-income countries actually experienced negative growth rates during the 1980s and 1990s. "The consensus that we find in the literature leads us to believe that poor countries, unless something changes, are destined to stay poor," one researcher noted.
Instead of poor countries catching up, we've seen "convergence clubs," countries that started with similar income levels in 1960 and still had similar income levels in 2010. The convergence hypothesis did not seem to be playing out in practice.
But there's a catch. While countries as a whole aren't converging, something fascinating is happening within specific industries. New research shows that manufacturing industries exhibit strong convergence over time.
Researchers analyzed 99 countries across 22 manufacturing industries over four decades. Manufacturing industries that start far behind their global leaders can grow dramatically faster, sometimes seeing an extra boost that's absolutely massive compared to average growth rates.
This convergence pattern holds across virtually every manufacturing industry studied. But some sectors catch up much faster than others. If you're making cigarettes, you'll gradually close the gap. But if you're building cars or smartphones, you can catch up almost five times faster.
Why such huge variation? It was observed that industries that rely more on human capital, skilled educated workers, are driving convergence. Meanwhile, dependence on physical capital like machines and equipment doesn't seem to matter as much.
Think about the difference between a cigarette factory and a smartphone factory. The cigarette factory mostly needs machines and basic labor. The smartphone factory needs engineers who understand complex circuits, technicians who can troubleshoot sophisticated assembly lines.
Industries requiring highly educated workforces, like making chemicals, advanced machinery, and communication equipment, catch up with global leaders much faster than industries that rely mainly on manual labor, like textiles or food processing.
When you're trying to adopt cutting-edge manufacturing techniques, you need workers who can understand, implement, and improve upon those techniques. A highly educated workforce can absorb and adapt new technologies much faster, read technical manuals, troubleshoot problems.
But human capital alone isn't the defining factor. Industries that need massive, expensive equipment, think steel mills or oil refineries, can catch up rapidly, but only if the country has a sophisticated financial system.
In countries with weak banks and limited capital markets, these industries actually fall further behind global leaders over time. They simply can't get the huge loans needed to buy modern equipment. But in countries with well-developed banking systems, these same industries catch up rapidly.
The path of development shapes convergence too. As economies shift from agriculture to industrial and service sectors, they rely more on human capital. Since human capital-intensive activities converge faster, this structural transformation drives overall economic convergence.
Look at Vietnam, among the world's poorest countries in the 1960s, but by the 1990s one of the fastest-growing economies globally. How? By moving millions of workers from rice paddies into factories making textiles, electronics, and other manufactured goods.
China's transformation is perhaps the most dramatic example. In the 1960s, China actually had negative economic growth. But by focusing on manufacturing and moving workers from agriculture into factories, it became the world's fastest-growing major economy.
Here's a crucial insight, economic growth in developing countries isn't smooth and predictable. It's "episodic," characterized by sudden bursts of rapid growth followed by sharp declines. A country's growth rate in one decade is almost completely useless for predicting the next.
Poor countries can catch up, but only if they get the fundamentals right AND sustain them over time. Countries that invest in their people while building modern financial systems and fostering the right kinds of industries, those will close the gap with wealthy nations.
We cover this and one more interesting story in today's edition of The Daily Brief. Watch on YouTube, read on Substack, or listen on Spotify, Apple Podcasts, or wherever you get your podcasts.
While headlines focus on farmer distress and export restrictions, the latest RBI bulletin reveals a quieter transformation across India's farmlands, a story about how Indian agriculture has grown over the past three decades that matters for nearly half a billion people.🧵👇
Agriculture remains central to India's economy in ways GDP numbers don't capture. While farming contributes less than one-fifth of GDP, it still employs 46.1% of India's workforce, that's almost half the population affecting food security for 1.4 billion Indians.
The RBI study examines agricultural growth from 1992-93 to 2022-23, breaking it down into four key drivers, expanding farmland, improving yields, price changes, and crop diversification. The standout finding is farm growth came primarily from two sources.
Something fascinating is happening in Andhra Pradesh. Companies across sectors, from clean energy to electronics to oil, keep announcing massive projects there. We noticed this pattern in conference calls and interviews, and we're not alone.🧵👇
SOIC founder Ishmohit spotted the same trend. Why is a single Indian state getting this much attention? What's driving this investment rush? The answer lies in a story that began 11 years ago with a painful division.
In 2014, old Andhra Pradesh was split into Telangana and a smaller AP. This wasn't equal, Hyderabad, the capital that made up 30% of the old state's GDP, now belonged to Telangana. Most economic heft was gone overnight.
There's a fundamental question about our fate as an economy that we all keep coming back to, how did China, a country as complex as ours, beginning from roughly the same point in the 1980s, leave us so far behind?🧵👇
Many different answers have been offered, ranging from our political systems, to our respective cultures, to when and how our two countries liberalised their laws. And all of them get to some of the truth.
Today we're looking at a piece of this puzzle that generally receives less attention, the different choices we made in developing the human capital of our two countries. A fascinating paper by Nitin Kumar Bharti and Li Yang reveals the story.
The Reserve Bank of India makes decisions that impact 140+ crore people in almost every aspect of their financial lives. So how do we know if the RBI is doing a good job? Turns out, the RBI has something resembling a report card.🧵👇
Back in 2016, Parliament amended the RBI Act to give it a crystal clear mandate, keep prices stable while supporting growth. This was to be measured by how well it stuck to a target, keeping consumer price inflation at 4%, with a tolerance band of 2%.
This target is reviewed every five years. It happened once in March 2021, where it was kept steady at 4% ± 2%. But now, it's review time again. The RBI just released a Discussion Paper ahead of the March 2026 deadline.
In its heyday, Evergrande was the world's most valuable real estate developer, the engine behind China's urbanisation push. Its founder Hui Ka Yan became China's richest man from nothing. On Monday, it was quietly kicked out of Hong Kong Stock Exchange.🧵👇
This marks the end of perhaps the world's greatest corporate fall from grace. Four million workers relied on Evergrande for their livelihood, with 200,000 directly employed. Its name adorned thousands of skyscrapers across hundreds of Chinese cities.
Evergrande began in Guangzhou in 1996 when China first liberalised its housing market after four decades of state control. Private players entered urban property markets, unleashing a nationwide construction boom that companies like Evergrande were set up to service.
From Japan's demographic challenge, let's turn to India where the picture looks very different. The share of working women in India, particularly in manufacturing, has been stagnating.
This isn't just about diversity - higher female participation is key to economic development. 🧵👇
Women in India face barriers from family attitudes to workplace discrimination. But there's also a legal side. Many Indian laws actively prohibit women from some work - like night shifts. Delhi bans women from working after 9 PM in summer, 8 PM in winter.
The intention was women's safety, but this is increasingly seen as a systemic barrier to employment. Between 2016-2023, 8 Indian states including Gujarat and Karnataka changed this, amending laws to remove night-shift bans. The impacts were complex.