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How China's Factories Change Women's Lives

Blog Post | Wealth & Poverty

How China's Factories Change Women's Lives

"In the ongoing debate about globalization, what's been missing is the voice of the workers themselves."

China experienced the greatest advancement out of poverty of all time, partly thanks to the manufacturing boom which followed economic liberalization in the 1980s. But there is a common misconception regarding the consequent working conditions: many imagine all Chinese factories to be “sweatshops” in which workers toil to serve the “greed” of capitalists. 

That, however, is to overlook the workers’ own experiences. 

“This simple narrative equating Western demand and Chinese suffering is appealing,” says the writer Leslie T. Chang. “But it’s also inaccurate and disrespectful.” 

“Chinese workers are not forced into factories because of our insatiable desire for iPods,” Chang explains in a TED talk. “They choose to leave their homes [in rural China] in order to earn money, to learn new skills and to see the world.” 

A few years ago, Chang, formerly a journalist for the Wall Street Journal, spent two years in China getting to know factory workers in order to make their stories known. 

“In the ongoing debate about globalization, what’s been missing is the voice of the workers themselves,” Chang says. “Certainly the factory conditions are really tough, and it’s nothing you or I would want to do, but from their perspective, where they’re coming from is much worse … I just wanted to give that context of what’s going on in their minds, not what necessarily is going on in yours.” 

The book Chang wrote as a result of her research, Factory Girls: From Village to City in a Changing China, presents an intimate picture of how global capitalism changed the lives of women in her ancestral country.  The portraits that emerge of independent, ambitious young women contrast sharply with the widespread narrative of victimhood. 

Women make up a third of China’s internal economic migrants, but accounted for 70 per cent of rural transplants to the factory city that Chang visited. Women travel farther from home and stay longer in urban areas than their male counterparts.

Women “are more likely to value migration for its life-changing possibilities” than men, since gender roles are less restrictive in cities than in the traditional countryside. Even though it was initially considered risky, or shameful, for a single woman to go out on her own, today migration to cities is practically a rite of passage for rural Chinese. 

In the city, Chang was surprised to find that social mobility was strong, with many assembly-line women moving into administrative roles or other fields. Factory turnover was high, as women frequently moved from one job to another in search of better prospects. Chang observed that some evening classes in business etiquette, English, or computer skills could catapult an ambitious woman into white-collar work. 

The book neatly illustrates how urbanization not only offers an escape from poverty, but has the knock-on effect of improving migrants’ home villages. And it demolishes the idea that being poor in the city is just as bad if not worse than being poor in the countryside. 

“When you’ve lived in the city for a while, your thinking changes,” remarked one female economic migrant, “You’re constantly thinking about how to improve the countryside. The village is home, but I don’t feel comfortable there anymore.” 

When Min, a handbag factory employee accustomed to modern city life, visited her home in the countryside, she found herself faced with this scene: 

Electricity was used sparingly to save money, and most dinners were eaten in near-darkness. There was no plumbing and no heating. In the wet chill of the Hubei winter, the whole family wore their coats and gloves indoors, and the cement walls and floors soaked up the cold like a sponge. If you sat too long, your toes went numb, and your fingers too…

Min made it her mission to modernize the farm home where she grew up.

“Min walked through the house pointing out improvements she wanted: a hot-water dispenser, a washing machine, a walk of poured concrete across the muddy yard.” She plans on eventually paying for the construction of an indoor bathroom and an electric hot-water heater so that her family might bathe in the winter without being cold.

Migrants like Min act as the chief source of village income by sending earnings home. That year, Min and her older sister Guimin sent home more than double the amount of money that the small family farm brought in through the sale of pigs and cotton. The sisters’ money paid for the schooling of their younger siblings. 

The money also gave the two women a voice in family affairs, letting them insist their younger sisters attend school longer than was usual for girls. While the oldest sister only received a middle-school education, the family expects the youngest two will even be able to afford to go to college if they choose. 

As Chang says, most migrants never return permanently to the countryside. “The ones who do well will likely buy apartments and settle in their adopted cities; the others may eventually move to towns and cities near their home villages and set up stores, restaurants and small businesses like hairdressing salons or tailoring shops.” Very few go back to farming. 

But urban life does more than simply raise a woman’s expectations with regard to social status and influence. According to Chang, migration makes rural women more likely to seek equality in marriage. And this is one example of how, in the factory towns of the south, young women “came to believe that they mattered, despite their humble origins”. 

So as economic opportunity swept across China, it also brought with it a sense of self-worth. As Chang says, the older and more rural Chinese she interviewed did not believe their stories were worth telling, but the young women in the city deemed themselves to be worthy subjects. 

It is thanks to economic liberalisation and so-called capitalist greed that a generation of women, as Chang’s book shows, were given the opportunity to change their fate, take hold of their own destinies and make their own decisions. Globalization didn’t imprison them in sweatshops, it set them free.

This first appeared in CapX.

Blog Post | Energy & Natural Resources

The Simon Abundance Index 2024

The Earth was 509.4 percent more abundant in 2023 than it was in 1980.

The Simon Abundance Index (SAI) quantifies and measures the relationship between resources and population. The SAI converts the relative abundance of 50 basic commodities and the global population into a single value. The index started in 1980 with a base value of 100. In 2023, the SAI stood at 609.4, indicating that resources have become 509.4 percent more abundant over the past 43 years. All 50 commodities were more abundant in 2023 than in 1980.

Figure 1: The Simon Abundance Index: 1980–2023 (1980 = 100)

The SAI is based on the ideas of University of Maryland economist and Cato Institute senior fellow Julian Simon, who pioneered research on and analysis of the relationship between population growth and resource abundance. If resources are finite, Simon’s opponents argued, then an increase in population should lead to higher prices and scarcity. Yet Simon discovered through exhaustive research over many years that the opposite was true. As the global population increased, virtually all resources became more abundant. How is that possible?

Simon recognized that raw materials without the knowledge of how to use them have no economic value. It is knowledge that transforms raw materials into resources, and new knowledge is potentially limitless. Simon also understood that it is only human beings who discover and create knowledge. Therefore, resources can grow infinitely and indefinitely. In fact, human beings are the ultimate resource.

Visualizing the Change

Resource abundance can be measured at both the personal level and the population level. We can use a pizza analogy to understand how that works. Personal-level abundance measures the size of an individual pizza slice. Population-level abundance measures the size of the entire pizza pie. The pizza pie can get larger in two ways: the slices can get larger, or the number of slices can increase. Both can happen at the same time.

Growth in resource abundance can be illustrated by comparing two box charts. Create the first chart, representing the population on the horizontal axis and personal resource abundance on the vertical axis. Draw a yellow square to represent the start year of 1980. Index both population and personal resource abundance to a value of one. Then draw a second chart for the end year of 2023. Use blue to distinguish this second chart. Scale it horizontally for the growth in population and vertically for the growth in personal resource abundance from 1980. Finally, overlay the yellow start-year chart on the blue end-year chart to see the difference in resource abundance between 1980 and 2023.

Figure 2: Visualization of the Relationship between Global Population Growth and Personal Resource Abundance of the 50 Basic Commodities (1980–2023)

Between 1980 and 2023, the average time price of the 50 basic commodities fell by 70.4 percent. For the time required to earn the money to buy one unit of this commodity basket in 1980, you would get 3.38 units in 2023. Consequently, the height of the vertical personal resource abundance axis in the blue box has risen to 3.38. Moreover, during this 43-year period, the world’s population grew by 3.6 billion, from 4.4 billion to over 8 billion, indicating an 80.2 percent increase. As such, the width of the blue box on the horizontal axis has expanded to 1.802. The size of the blue box, therefore, has grown to 3.38 by 1.802, or 6.094 (see the middle box in Figure 2).

As the box on the right shows, personal resource abundance grew by 238 percent; the population grew by 80.2 percent. The yellow start box has a size of 1.0, while the blue end box has a size of 6.094. That represents a 509.4 percent increase in population-level resource abundance. Population-level resource abundance grew at a compound annual rate of 4.3 percent over this 43-year period. Also note that every 1-percentage-point increase in population corresponded to a 6.35-percentage-point increase in population-level resource abundance (509.4 ÷ 80.2 = 6.35).

Individual Commodity Changes: 1980–2023

As noted, the average time price of the 50 basic commodities fell by 70.4 percent between 1980 and 2023. As such, the 50 commodities became 238.1 percent more abundant (on average). Lamb grew most abundant (675.1 percent), while the abundance of coal grew the least (30.7 percent).

Figure 3: Individual Commodities, Percentage Change in Time Price and Percentage Change in Abundance: 1980–2023

Individual Commodity Changes: 2022–2023

The SAI increased from a value of 520.1 in 2022 to 609.4 in 2023, indicating a 17.1 percent increase. Over those 12 months, 37 of the 50 commodities in the data set increased in abundance, while 13 decreased in abundance. Abundance ranged from a 220.8 percent increase for natural gas in Europe to a 38.9 percent decrease for oranges.

Figure 4: Individual Commodities, Percentage Change in Abundance: 2022–2023

Conclusion

After a sharp downturn between 2021 and 2022, which was caused by the COVID-19 pandemic, government lockdowns and accompanying monetary expansion, and the Russian invasion of Ukraine, the SAI is making a strong recovery. As noted, since 1980 resource abundance has been increasing at a much faster rate than population. We call that relationship superabundance. We explore this topic in our book Superabundance: The Story of Population Growth, Innovation, and Human Flourishing on an Infinitely Bountiful Planet.

Appendix A: Alternative Figure 1 with a Regression Line, Equation, R-Square, and Population

Appendix B: The Basic 50 Commodities Analysis: 1980–2023

Appendix C: Why Time Is Better Than Money for Measuring Resource Abundance

To better understand changes in our standard of living, we must move from thinking in quantities to thinking in prices. While the quantities of a resource are important, economists think in prices. This is because prices contain more information than quantities. Prices indicate if a product is becoming more or less abundant.

But prices can be distorted by inflation. Economists attempt to adjust for inflation by converting a current or nominal price into a real or constant price. This process can be subjective and contentious, however. To overcome such problems, we use time prices. What is most important to consider is how much time it takes to earn the money to buy a product. A time price is simply the nominal money price divided by the nominal hourly income. Money prices are expressed in dollars and cents, while time prices are expressed in hours and minutes. There are six reasons time is a better way than money to measure prices.

First, time prices contain more information than money prices do. Since innovation lowers prices and increases wages, time prices more fully capture the benefits of valuable new knowledge and the growth in human capital. To just look at prices without also looking at wages tells only half the story. Time prices make it easier to see the whole picture.

Second, time prices transcend the complications associated with converting nominal prices to real prices. Time prices avoid subjective and disputed adjustments such as the Consumer Price Index (CPI), the GDP Deflator or Implicit Price Deflator (IPD), the Personal Consumption Expenditures price index (PCE), and the Purchasing Power Parity (PPP). Time prices use the nominal price and the nominal hourly income at each point in time, so inflation adjustments are not necessary.

Third, time prices can be calculated on any product with any currency at any time and in any place. This means you can compare the time price of bread in France in 1850 to the time price of bread in New York in 2023. Analysts are also free to select from a variety of hourly income rates to use as the denominator when calculating time prices.

Fourth, time is an objective and universal constant. As the American economist George Gilder has noted, the International System of Units (SI) has established seven key metrics, of which six are bounded in one way or another by the passage of time. As the only irreversible element in the universe, with directionality imparted by thermodynamic entropy, time is the ultimate frame of reference for almost all measured values.

Fifth, time cannot be inflated or counterfeited. It is both fixed and continuous.

Sixth, we have perfect equality of time with exactly 24 hours in a day. As such, we should be comparing time inequality, not income inequality. When we measure differences in time inequality instead of income inequality, we get an even more positive view of the global standards of living.

These six reasons make using time prices superior to using money prices for measuring resource abundance. Time prices are elegant, intuitive, and simple. They are the true prices we pay for the things we buy.

The World Bank and the International Monetary Fund (IMF) track and report nominal prices on a wide variety of basic commodities. Analysts can use any hourly wage rate series as the denominator to calculate the time price. For the SAI, we created a proxy for global hourly income by using data from the World Bank and the Conference Board to calculate nominal GDP per hour worked.

With this data, we calculated the time prices for all 50 of the basic commodities for each year and then compared the change in time prices over time. If time prices are decreasing, personal resource abundance is increasing. For example, if a resource’s time price decreases by 50 percent, then for the same amount of time you get twice as much, or 100 percent more. The abundance of that resource has doubled. Or, to use the pizza analogy, an individual slice is twice as large. If the population increases by 25 percent over the same period, there will be 25 percent more slices. The pizza pie will thus be 150 percent larger [(2.0 x 1.25) – 1].

Board of Governors of the Federal Reserve System | Economic Growth

Income Growth Over Five Generations of Americans

“We find that each of the past four generations of Americans was better off than the previous one, using a post-tax, post-transfer income measure constructed annually from 1963-2022 based on the Current Population Survey Annual Social and Economic Supplement.”

From Board of Governors of the Federal Reserve System.

Blog Post | Human Development

1,000 Bits of Good News You May Have Missed in 2023

A necessary balance to the torrent of negativity.

Reading the news can leave you depressed and misinformed. It’s partisan, shallow, and, above all, hopelessly negative. As Steven Pinker from Harvard University quipped, “The news is a nonrandom sample of the worst events happening on the planet on a given day.”

So, why does Human Progress feature so many news items? And why did I compile them in this giant list? Here are a few reasons:

  • Negative headlines get more clicks. Promoting positive stories provides a necessary balance to the torrent of negativity.
  • Statistics are vital to a proper understanding of the world, but many find anecdotes more compelling.
  • Many people acknowledge humanity’s progress compared to the past but remain unreasonably pessimistic about the present—not to mention the future. Positive news can help improve their state of mind.
  • We have agency to make the world better. It is appropriate to recognize and be grateful for those who do.

Below is a nonrandom sample (n = ~1000) of positive news we collected this year, separated by topic area. Please scroll, skim, and click. Or—to be even more enlightened—read this blog post and then look through our collection of long-term trends and datasets.

Agriculture

Aquaculture

Farming robots and drones

Food abundance

Genetic modification

Indoor farming

Lab-grown produce

Pollination

Other innovations

Conservation and Biodiversity

Big cats

Birds

Turtles

Whales

Other comebacks

Forests

Reefs

Rivers and lakes

Surveillance and discovery

Rewilding and conservation

De-extinction

Culture and tolerance

Gender equality

General wellbeing

LGBT

Treatment of animals

Energy and natural Resources

Fission

Fusion

Fossil fuels

Other energy

Recycling and resource efficiency

Resource abundance

Environment and pollution

Climate change

Disaster resilience

Air pollution

Water pollution

Growth and development

Education

Economic growth

Housing and urbanization

Labor and employment

Health

Cancer

Disability and assistive technology

Dementia and Alzheimer’s

Diabetes

Heart disease and stroke

Other non-communicable diseases

HIV/AIDS

Malaria

Other communicable diseases

Maternal care

Fertility and birth control

Mental health and addiction

Weight and nutrition

Longevity and mortality 

Surgery and emergency medicine

Measurement and imaging

Health systems

Other innovations

Freedom

    Technology 

    Artificial intelligence

    Communications

    Computing

    Construction and manufacturing

    Drones

    Robotics and automation

    Autonomous vehicles

    Transportation

    Other innovations

    Science

    AI in science

    Biology

    Chemistry and materials

      Physics

      Space

      Violence

      Crime

      War