Foundations of Economic Growth Theory

Understanding Economic Growth and Living Standards

Our interest in economic growth stems from its direct link to living standards. When analyzing economic well-being over time or across nations, the crucial variable to focus on is output per capita, rather than total output.

GDP Per Capita: A Key Indicator

The primary indicator of living standards is Gross Domestic Product (GDP) per capita, calculated as: GDPpc = GDP / Population.

Why Exchange Rates Fail for Comparison

When comparing living standards (measured by GDP per capita) between two countries, simply converting one country’s GDP from its local currency to another using the current exchange rate is incorrect. This method does not accurately assess living standards for two main reasons:

  • Exchange rates vary greatly: For instance, if the Pound depreciates by 30% against the Dollar, the value of the UK’s GDP expressed in Dollars also falls by 30%. However, the actual standard of living in the UK has not necessarily fallen by 30% compared to the US.
  • Differences in purchasing power: Beyond exchange rate fluctuations, countries with lower per capita output generally have lower prices for food and basic services. What truly matters is the purchasing power parity. For example, in 2019, the income per person was $2,100 in India and $44,330 in the UK, yet $2,100 could buy significantly more in India than in the UK.

The Importance of Purchasing Power Parity (PPP)

To accurately compare the GDP per capita of various countries, we must use a common set of prices for all countries. These adjusted real GDP figures, which measure a country’s purchasing power, are known as Purchasing Power Parity (PPP) adjusted figures.


Post-1950 Economic Growth in Developed Nations

Since 1950, rich countries have experienced significant economic transformations:

  • Production has seen a massive increase.
  • A notable decline in growth rates occurred around 1970.
  • The output per person across different countries has converged.
  • There has been a huge increase in living standards since 1950.
  • Real output per capita has increased dramatically, ranging from 3 to 11 times in various countries.
  • The importance of cumulative growth is evident: even a modest growth rate of 1% per year can lead to a 48% higher standard of living after 40 years.

The Phenomenon of Convergence

A negative relationship exists between the initial level of output per person and the subsequent growth rate observed since 1960. This convergence of per capita output levels extends across all OECD countries, indicating that poorer developed nations tend to grow faster and catch up to richer ones.


Historical Perspectives on Global Economic Growth

Global Growth Patterns and Convergence

Analyzing global economic patterns reveals three key conclusions:

  1. Almost all OECD countries started from high levels of output per person and show clear signs of convergence.
  2. Convergence is also evident in Asian countries: all nations with growth rates above 4% during that period were in Asia. Starting in the 1960s, a group of four countries—Singapore, Taiwan, Hong Kong, and South Korea—known as the Four Asian Tigers, began to rapidly catch up with Japan. These economies, characterized by high growth rates but initially low output per person, are often referred to as emerging economies.
  3. In contrast, convergence is not the norm in Africa.

The Malthusian Era and Modern Growth

The period of stagnant output per person is frequently termed the Malthusian era. Historically, Europe was caught in a Malthusian trap, unable to significantly increase its output per person.

Considering the entire history of humanity, the sustained growth of per capita output is a relatively recent phenomenon. Economic growth has not always been present:

  • From the end of the Roman Empire until 1500, output per person in Europe barely grew.
  • Between 1500 and 1700, per person output growth turned positive, at approximately 0.1% per year.
  • Between 1700 and 1820, this rate increased to about 0.2% per year, coinciding with the Industrial Revolution.

Introduction to the Solow Growth Model

For analyzing long-term economic growth, the model developed by Robert Solow in the late 1950s is predominantly used. This foundational model seeks to answer critical questions:

  • What are the primary determinants of economic growth?
  • What is the specific role of capital accumulation in this process?
  • How does technological progress contribute to sustained growth?

The Aggregate Production Function Explained

The aggregate production function specifies the relationship between total aggregate output and the factors of production. It is typically represented as: Y = F(K, N)

  • Y: Represents aggregate output (total goods and services produced).
  • K: Denotes capital, which is the sum of all machines, plants, and office buildings in the economy.
  • N: Represents labor, specifically the number of workers in an economy.
  • F: Is the function itself, indicating how much output is produced with given quantities of capital and labor.

Technology’s Role in Output

Crucially, the aggregate production function also depends on the state of technology. A more advanced technology allows for greater output to be produced with the same amounts of capital (K) and labor (N). The state of technology encompasses the set of available projects that define the variety of products and the techniques used to produce them.


Returns to Scale and Factor Productivity

Constant Returns to Scale

Constant returns to scale is a property of economic production functions. It implies that if the scale of operation is doubled—meaning both capital (K) and labor (N) are doubled—then the aggregate output (Y) will also double. This can be expressed as: 2Y = F(2K, 2N).

Decreasing and Increasing Factor Returns

Returns on individual factors of production can vary:

  • Decreasing returns occur when increasing one variable factor (while holding others constant) leads to progressively smaller increases in output.
  • Increasing returns occur when increases in a variable factor generate progressively higher levels of output.

Output and Capital Per Worker Dynamics

Given constant returns to scale, the aggregate production function can be rewritten to show that the quantity of output per worker (Y/N) depends on the amount of capital per worker (K/N). Specifically, when capital per worker increases, output per worker also increases.

Limits of Capital Accumulation for Growth

However, increases in capital per worker lead to progressively smaller increases in output per worker due to diminishing returns on capital. To maintain a constant increase in output per worker, an ever-increasing level of capital per worker is required. Eventually, an economy may become unwilling or unable to save and invest enough to continue increasing capital. The savings rate, which is the proportion of income saved, directly influences capital accumulation.

Therefore, capital accumulation alone cannot sustain indefinite economic growth.

The Imperative of Technological Progress

For economic growth to be durable and sustained, technological progress is essential. The long-term rate of growth of output per person is fundamentally dependent on the rate of technological progress.


Solow Model: Key Concepts and Implications

1. Savings rate is equal to the investment rate.

TRUE. According to Solow’s model, in a closed economy without government intervention, savings equal investment. This implies that all income saved is subsequently invested.

2. Investment Rate and Long-Term Output Growth

FALSE. While an increase in investment leads to a higher level of output, it does not result in a higher long-run growth rate. Only sustained technological progress can achieve long-term growth in output per worker.

3. Capital Depreciation and Sustained Growth

FALSE. Even in the absence of capital depreciation, the principle of diminishing returns to capital still applies. Without technological progress, capital accumulation alone cannot sustain indefinite growth.

4. Savings Rate and Steady-State Consumption

FALSE. While higher savings lead to lower consumption in the short run, in the long run, consumption may actually increase due to higher capital and output, up to the “Golden Rule” level of savings. Beyond this point, further increases in the savings rate would indeed reduce steady-state consumption.

5. Savings Rate and Steady-State Consumption Levels

UNCERTAIN. This statement is true only up to the “Golden Rule” level of savings. Beyond that optimal point, further increases in the savings rate will actually reduce the steady-state consumption level.

6. Social Security Reform and Consumption

UNCERTAIN. Switching to a funded system might increase national savings and lead to higher capital and output in the future. However, this transition could potentially lower consumption today, depending on how it is financed. The overall effects vary significantly by country, timing, and demographic factors.

7. Tax Breaks to Encourage Saving

TRUE. If the capital stock is significantly below the Golden Rule level, increasing the savings rate will raise capital per worker, leading to higher levels of both output and consumption in the long run. Tax incentives designed to encourage saving can help an economy move towards this optimal Golden Rule level.

8. Savings Rates and Country Growth Speed

UNCERTAIN. In the short or medium term, higher savings can indeed lead to faster economic growth. However, in the long run, the growth rate of output per worker is primarily determined by the rate of technological progress, not by the savings rate. Therefore, this statement is not universally true and depends on the specific time frame and other economic conditions.


Understanding Free Trade Benefits

1. Free Trade and International Competition

INCORRECT. Free trade can benefit all countries, even those that are less productive overall, provided they specialize according to their comparative advantage, not absolute advantage. Trade allows countries to consume beyond their domestic production possibilities and encourages learning and growth. Conversely, if a country adopts protectionist policies, consumers often face higher prices, domestic companies experience less pressure to innovate and improve, and overall growth and innovation may slow down.


Growth Theory: Production and Convergence

1. Capital Per Worker and Output Increases

FALSE. Due to “diminishing returns to capital,” each additional unit of capital per worker leads to a smaller and smaller increase in output per worker than the previous one. If Y = F(K, N) per worker is expressed as Y/N = f(K/N), then the marginal product of capital, f'(K/N), decreases as K/N increases. Therefore, output per worker will increase by decreasing amounts, not by a constant amount.

2. Defining the Convergence Phenomenon

The convergence phenomenon in growth theory refers to the tendency for poorer countries, with lower GDP per capita, to grow faster than richer ones. This allows them to “catch up” in terms of income and living standards over time. For example, OECD countries have demonstrated convergence over time. This phenomenon implies that income gaps between countries can be reduced if poorer countries adopt similar technologies and policies as richer ones.

3. Permanent Increase in Output Per Worker

FALSE. While a permanent increase in output per worker cannot be sustained through capital accumulation alone, it is possible with technological progress. Without technological progress, growth eventually slows and stops. However, with ongoing technological advancements, permanent increases in output per worker are indeed possible. This is a core conclusion of the Solow Growth Model.


Environmental Economics and Sustainable Growth

1. Poverty, Pollution, and Environmental Damage

UNCERTAIN. In some instances, poverty can contribute to environmental degradation, for example, through reliance on unsustainable resource extraction. However, wealthier societies also generate significant large-scale industrial pollution. The Environmental Kuznets Curve (EKC) hypothesis suggests that pollution initially increases with income but then decreases after a certain income level. Therefore, while a relationship exists, it is not always linear or universally applicable.

2. Green tax policies negatively affect low-income households.

TRUE. Green taxes, by raising the cost of energy and other goods, can be regressive, disproportionately affecting lower-income households. Governments can mitigate this impact through targeted subsidies or progressive redistribution mechanisms.

3. Economic growth always leads to an increase in CO2 emissions.

FALSE. While historical economic growth has often been linked to increased CO2 emissions, this is not an inherent necessity. Modern economic growth can incorporate the adoption of new technologies, such as clean energy solutions, improved energy efficiency, and renewable energy sources, which can significantly reduce CO2 emissions.

4. Encouraging Renewable Energy with Feed-in Tariffs

TRUE. Feed-in tariffs guarantee producers of renewable energy a fixed price for their electricity, often above the market rate. This policy provides investors with greater certainty and profitability, thereby strongly encouraging the adoption and expansion of renewable energy projects.

5. Is Sustainable Growth a Contradiction?

UNCERTAIN. Some argue that infinite economic growth on a planet with finite resources is inherently unsustainable. Others contend that growth can be decoupled from resource depletion and environmental damage through continuous technological innovation, efficiency improvements, and shifts towards a circular economy. The feasibility depends on the definition of “growth” and the extent of technological and societal adaptation.