Total factor productivity

Also called: TFP, Multifactor productivity · Topic: Economic Growth Theories and Business Cycles · NCERT: Beyond NCERT

Meaning

Total factor productivity (TFP) is the part of output growth that more capital and more labour cannot explain. It measures how well an economy uses its inputs, through better technology, efficiency, management and innovation.

It is found with growth accounting (splitting GDP growth into its sources):

g_Y = α·g_K + (1 − α)·g_L + g_A, so TFP growth (g_A) = g_Y − α·g_K − (1 − α)·g_L

• g_Y = GDP growth. g_K and g_L = growth of capital and labour.
• α = capital's share of income.

TFP matters because it is the only lasting source of growth in output per worker. Growth that comes only from adding more machines and workers runs into diminishing returns and slows down.

Explanation

How TFP is measured: the "residual"

• Capital and labour are counted first, and each is weighted by its share of income. Whatever growth is left over is TFP.
• That is why it is also called the Solow residual, after Robert Solow's study of 1957.

• Solow found that about 7/8 of the growth in US output per hour of work (1909-49) did not come from more capital. It came from technical change.

• TFP is never observed directly. It is worked out by subtracting. So critics call it "a measure of our ignorance". Anything the inputs miss ends up inside it, including measurement errors.

• Worked example: GDP growth = 7%, α = 0.4, capital growth = 8%, labour growth = 2%.
• Contribution of capital = 0.4 × 8 = 3.2 points
• Contribution of labour = 0.6 × 2 = 1.2 points
• TFP = 7 − 3.2 − 1.2 = 2.6 points, so about 37% of growth comes from TFP.

Why TFP is so important: the Solow model

• In the Solow-Swan model (1956), capital faces diminishing returns (each extra machine adds less output than the one before).
• More saving → more capital per worker → a higher level of income per worker

• But no lasting rise in the growth rate. Growth goes back to zero at the new steady state (the long-run point where capital per worker stops changing).

• So in Solow, lasting per-capita growth comes only from technical progress, which is TFP.

• In Solow, this technical progress is exogenous, meaning the model assumes it happens but does not explain why.

What makes TFP rise or fall

• Technology and new ideas. In Romer's (1990) model, ideas are non-rival: one person's use does not reduce another's, as with a formula or software code. This gives increasing returns for the economy as a whole. R&D feeds TFP.
• Human capital (workers' skills, education and health). In Lucas's (1988) model, skilled workers also make the people around them more productive. This is a spillover.
• Competition and creative destruction (new firms and technologies replacing old ones), as in Aghion-Howitt (1992).
• Easy entry and exit of firms → resources move from weak firms to better ones → average efficiency rises.

• Dominant firms that block new entrants pull TFP down.

• Better management and efficiency, meaning more output from the same machines and workers.

• Endogenous growth theory says these drivers come from inside the economy and respond to incentives. So policy can raise TFP and therefore the long-run growth rate.

Input-led vs TFP-led growth: the Krugman-Young critique (1994-95)

• East Asia's "miracle" was mostly input-driven: very high investment, more workers and more schooling, with little TFP growth.

• Input-led growth → diminishing returns → growth must slow. The Soviet Union showed the same pattern earlier.

• Lesson: growth from "perspiration" (inputs) has limits. Growth from "inspiration" (TFP) can last.

In India

• India KLEMS database: hosted by the RBI. KLEMS stands for Capital (K), Labour (L), Energy (E), Materials (M) and Services (S).
• It gives Labour Productivity (LP) and TFP for each industry and for the whole economy, from 1980-81 onwards [1].
• It covers 27 industries. The Data Manual 2018 runs from 1980-81 to 2016-17, and later releases extend the series [1].
• It is built from National Accounts Statistics (NAS), Annual Survey of Industries (ASI), NSSO rounds and Input-Output tables [1].

• It uses the EU KLEMS method, so India's TFP can be compared with other countries' [1].

• R&D, a key driver of TFP, is weak:

• GERD (Gross Expenditure on R&D) was 0.66% of GDP (2019-20) and 0.64% (2020-21) [3]. China spent 2.4% (2020-21) [3].

• Government spends about 64% of GERD and the private sector only about 36% [2][3].

• Policy push for TFP:

• The Research, Development and Innovation (RDI) Scheme of ₹1 lakh crore was approved by the Cabinet on 1 July 2025 [2].
• It gives long-term loans or refinancing at low or nil interest, not grants, to raise private R&D in strategic and sunrise sectors [2].
• The money sits in a Special Purpose Fund within ANRF (Anusandhan National Research Foundation, Act 2023), whose Governing Board is chaired by the Prime Minister [2].

Don't confuse with

• Labour productivity: output per worker. It can rise just from capital deepening (more machines per worker) with zero TFP growth. TFP counts only the gain that is left after all inputs are counted.
• Capital deepening: a rise in capital per worker. This is growth from inputs, which faces diminishing returns. TFP is growth from using inputs better.
• ICOR (Incremental Capital-Output Ratio): the extra capital needed to produce one extra unit of output. It comes from the Harrod-Domar model (g = s / v), where saving drives growth. In the Solow model, TFP is what drives long-run growth.
• Level effect vs growth effect: in Solow, a higher saving rate raises only the level of income. TFP growth raises the long-run growth rate.

Prelims Hooks

• TFP = Solow residual = output growth minus the weighted growth of capital and labour: g_A = g_Y − α·g_K − (1 − α)·g_L. Another name for it is multifactor productivity.
• Solow (1957): about 7/8 of the growth in US output per hour of work (1909-49) came from technical change, not from more capital.
• In the Solow model, long-run per-capita growth comes only from (exogenous) technical progress. A higher saving rate changes only the level.
• India KLEMS is maintained by the RBI (not MoSPI or NITI Aayog). It covers 27 industries from 1980-81 and follows the EU KLEMS method [1].
• Krugman-Young critique (1994-95): the East Asian miracle was input-driven, with little TFP growth.
• Trap: a rise in labour productivity does not by itself mean TFP has risen. It may only reflect capital deepening.

Mains Points

• India's risk of the Krugman-Young trap: growth driven by public capex and PLI is input-led and will face diminishing returns if TFP stays weak. Viksit Bharat 2047 needs innovation-led growth: higher GERD (only 0.64% of GDP in 2020-21) [3], more private R&D through the ₹1 lakh crore RDI Fund under ANRF [2], and a better-skilled workforce.
• Levers to raise TFP: Romer-style support for ideas (R&D funding), Lucas-style human capital (education and skilling), and Aghion-Howitt-style competition (strong CCI enforcement, a smooth IBC exit process, openness to AI and deep-tech). Workers who lose jobs to creative destruction need safety nets and reskilling.
• Measurement debate: TFP is a residual, a "measure of our ignorance", so errors in counting capital, labour or quality flow straight into it. Tracking it regularly through India KLEMS [1] makes productivity-led policy based on evidence, but TFP figures should be read with care.

Related concepts

• Solow growth model
• Steady state
• Capital deepening
• Growth accounting
• Convergence
• Endogenous growth theory

Read more

• Neoclassical and endogenous growth: Solow, TFP and ideas