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India vs China: Shankar Sharma flags education leadership gap behind technology divide

Дата публикации: 28-08-2026 14:32:27

India and China have followed markedly different paths in building their education and technology ecosystems, and ace investor Shankar Sharma believes the quality of education leadership deserves closer scrutiny. His analysis of successive education ministers points to a potential leadership gap, while the comparable levels of education spending raise a bigger question.

Основное содержимое страницы с новостью.

A decline in India’s scores

The India data shows a sharp contrast across decades. Several education ministers in the early post-Independence period received relatively high scores. The average score reached 86 during 1957-62 and 83 during 1998-2004. But several subsequent periods recorded much lower scores, including 16 during 1980-84, 23.5 during 1991-96, 16 during 2004-09 and 18.75 for 2014-26.

China’s scores, by comparison, remain relatively strong in the more recent period. The analysis gives its education ministers scores ranging from 13 to 93, with several ministers scoring above 60 and the current ministerial score at 90. Sharma points to the professional profiles of Chinese ministers, many of whom had backgrounds in science, engineering, academia or technical administration.

The argument is not that a minister’s qualifications alone determine a country’s educational performance. Rather, Sharma is highlighting the importance of who makes long-term decisions on universities, research, technical education and human capital.

I understand that nobody in the Indian stock market is even remotely interested in stuff like " Education" etc, from a policy angle. We value trains & roads more. (Some people also suggest education is a waste of time. ).

So we ran a quant model to rank India and China 's… pic.twitter.com/HbgC2aN5ZP

— Shankar Sharma (@1shankarsharma) August 27, 2026

That becomes particularly significant when education is viewed as an input into technological competitiveness. China has built considerable strength in engineering, scientific research, advanced manufacturing and emerging technologies, while India continues to grapple with gaps in research capacity, university quality and high-end technical talent.

Sr. No. Government Period Average Score
1 Congress 1947–52 60
2 Congress 1952–57 60
3 Congress 1957–62 86
4 Congress 1962–67 72
5 Congress 1967–72 70
6 Congress 1972–77 61
7 Janata Party 1977–80 63
8 Congress 1980–84 16
9 Congress 1984–89 30
10 National Front 1989–91 24
11 Congress 1991–96 23.5
12 BJP, United Front 1996–98 27
13 NDA 1998–04 83
14 UPA 2004–09 16
15 UPA 2009–14 49.5
16 NDA 2014–26 18.75

The spending puzzle

Sharma also highlights a second puzzle: spending. His third exhibit compares education expenditure as a share of GDP in India and China across decades. The chart shows India’s spending exceeding China’s in several periods, with the two broadly comparable in the latest period. Yet, Sharma argues, India’s lag has continued to widen.

That raises a question beyond budgets: what does the money produce?

Education outcomes depend on much more than ministerial credentials. Governance, teacher quality, curriculum, university autonomy, research funding, institutional capacity and links between academia and industry all matter. China’s technological rise also reflects decades of industrial policy, infrastructure investment and strategic state support.

China’s education ministerial quality score

Sr. No. Name Period Score
1 Ma Xulun 1949–52 69
2 Zhang Xiruo 1952–58 76
3 Yang Xiufeng 1958–65 50
4 He Wei 1965–66 13
5 Liu Xiyao 1977–82 42
6 Jiang Nanxiang (Higher Ed) 1965–66 & 1979–82 62
7 He Dongchang 1982–85 62
8 Li Peng 1985–88 56
9 Li Tieying 1988–93 66
10 Zhu Kaixuan 1993–98 63
11 Chen Zhili 1998–2003 79
12 Zhou Ji 2003–09 93
13 Yuan Guiren 2009–16 76
14 Chen Baosheng 2016–21 46
15 Huai Jinping 2021–present 90

Still, Sharma’s central warning is clear. India cannot treat education as a secondary policy area while aspiring to compete with China in artificial intelligence, semiconductors, defence technology and advanced manufacturing.

For Sharma, the education “bear market” is therefore more consequential than a stock-market downturn. A weak equity cycle can reverse. A prolonged deterioration in human capital and research capability can take decades to repair.

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