Why Pakistan Fell Behind: From Regional Leader to Laggard

Key Takeaways

  • Pakistan started wealthier but fell behind: In 1990, Pakistan's GDP per capita ($3,200 PPP) was higher than India, Bangladesh, and China. By 2018, all three had overtaken Pakistan.[1]
  • Labor productivity grew by only 47.7% between 1991 and 2018 - while India's grew by 232%, Bangladesh's by 147%, and China's by 924%.[2]
  • Growth came from "sweat, not smarts": Total factor productivity contributed just 0.8 percentage points annually to Pakistan's 4.4% average growth (2000-2020), and has shrunk to near zero in recent years.[5]
  • Structural transformation stalled: The share of employment in agriculture fell by only 3.2 percentage points in Pakistan (1991-2018), compared to declines of 22 pp in India, 29 pp in Bangladesh, and 36 pp in Vietnam.[3]
  • Trade policy made matters worse: Pakistan sits in the 90th percentile of trade restrictions globally, and tariffs actually increased from below 15% in FY15 to 20% in FY21.[5]

The Puzzle: Starting Ahead, Falling Behind

In the early 1990s, Pakistan was arguably ahead of its regional peers. In 1990, Pakistan's GDP per capita (at $3,200 in constant 2021 PPP dollars) was higher than India ($2,203), Bangladesh ($2,070), and China ($1,667).[1] Pakistan had a more developed industrial base, better infrastructure, and higher literacy rates than Bangladesh. Vietnam was still recovering from decades of war. China had only recently begun its reform era.

A generation later, the picture has reversed dramatically.

By 2018, India's GDP per capita had reached $7,714, Bangladesh's $6,393, and China's $17,807. Pakistan? Just $5,255.[1]

GDP per Capita: Pakistan vs. Regional Peers (1990-2018)

Constant 2021 PPP $

Source: World Bank NY.GDP.PCAP.PP.KD

Country GDP per Capita 1990 GDP per Capita 2018 Growth
Pakistan $3,200 $5,255 64%
India $2,203 $7,714 250%
Bangladesh $2,070 $6,393 209%
China $1,667 $17,807 968%
Vietnam $2,468 $10,937 343%

The math of compound growth is unforgiving. Between 2000 and 2022, Pakistan's GDP per capita grew at an average of 1.9% per year.[5] At this rate, income doubles in 37 years. Bangladesh grew at 4.5% annually—income doubles in 16 years. India at 4.9%, Vietnam at 5%. Over four decades, the gap becomes transformational.

This is not merely a technical observation. It represents millions of Pakistanis who could have had better healthcare, education, housing, and economic opportunity—but do not.

Growth Accounting: Where Did Growth Come From?

Economists use "growth accounting" to decompose economic growth into its constituent parts: more physical capital (factories, machinery, infrastructure), more workers putting in more hours, better productivity from workers and capital (total factor productivity, or TFP), and improvements in worker skills (human capital).

Pakistan's growth decomposition reveals a troubling pattern.

The Decomposition (2000-2020)

According to IMF analysis, Pakistan's average annual growth of roughly 4.4% between 2000 and 2020 came from:[5]

Factor Annual Contribution
Physical capital accumulation +1.9 percentage points
Employment (hours worked) +1.15 percentage points
Total factor productivity (TFP) +0.8 percentage points
Labor quality (human capital) +0.5 percentage points

Total factor productivity (TFP) measures how efficiently an economy uses its inputs to produce output. High TFP growth suggests an economy is getting better at producing more from the same resources, whether through better technology, improved management, or more efficient resource allocation.

Pakistan's TFP contribution of 0.8 percentage points annually was modest. And the trend is worsening: in FY20-24, TFP contribution has shrunk to approximately zero.[5]

"Sweat, Not Smarts"

The pattern is clear. Pakistan's growth came primarily from adding more inputs—more capital and more workers—rather than from using existing resources more efficiently.

This matters because growth through factor accumulation eventually encounters diminishing returns. There is a limit to how much capital can be added and how many additional hours workers can put in. Sustained long-term growth requires improvements in productivity. Countries that grew faster than Pakistan—Vietnam, China, India—derived a larger share of their growth from TFP improvements.

The weak contribution from labor quality (0.5 percentage points) also stands out. This reflects Pakistan's underinvestment in education and health.

The Productivity Gap: A Closer Look

The consequences of Pakistan's development model show up starkly in productivity data. Labor productivity—measured as GDP per worker—is the most direct measure of how much economic value an average worker creates.

In 1991, a Pakistani worker produced $11,787 worth of output (in constant 2021 PPP dollars).[2] By 2018, this had risen to $17,413—an increase of 47.7%.[2]

That might sound respectable until you compare it to regional peers:

Labor Productivity Growth (1991-2018)

GDP per person employed, constant 2021 PPP $

Source: World Bank SL.GDP.PCAP.EM.KD

Country Labor Productivity 1991 Labor Productivity 2018 Growth
Pakistan $11,787 $17,413 47.7%
India $6,601 $21,902 231.8%
Bangladesh $6,538 $16,162 147.2%
China $3,280 $33,601 924.4%
Vietnam $5,416 $18,936 249.7%

The pattern is striking. Pakistan started with the highest labor productivity in this group—nearly double China's. But China's productivity grew by 924%, transforming it into an industrial powerhouse. Even Bangladesh nearly tripled its productivity.

Pakistan's 47.7% growth over 27 years translates to a compound annual growth rate of approximately 1.5% per year. This is not stagnation—but it is far too slow to converge with middle-income economies.

Within-Sector vs. Between-Sector Productivity

Productivity growth can come from two sources: workers moving to more productive sectors (structural transformation), or existing sectors becoming more efficient (within-sector improvement).

Academic research using UNU-WIDER data suggests that Pakistan's within-sector productivity growth averaged only 0.73% per year (1990-2018)—meaning existing industries failed to become more efficient.[15] Furthermore, when workers did leave agriculture, they often moved to sectors with limited productivity growth potential—a "negative dynamic reallocation effect."

Structural Transformation: Why Labor Does Not Move

A standard pattern in economic development is structural transformation: workers move from agriculture to manufacturing and services, where productivity is higher. This happened in China, Vietnam, Bangladesh, and India. It has not happened to the same degree in Pakistan.

The Scale of Stagnation

The share of employment in agriculture barely moved in Pakistan—falling from 40.7% in 1991 to 37.4% in 2018, a decline of just 3.2 percentage points.[3]

Compare this to:

  • China: dropped 34 percentage points (from 60% to 26%)[3]
  • Vietnam: dropped 36 percentage points[3]
  • India: dropped 22 percentage points[3]
  • Bangladesh: dropped 29 percentage points[3]

Agricultural Employment Share Change (1991-2018)

Percentage point decline

Source: World Bank SL.AGR.EMPL.ZS

Agriculture has the lowest labor productivity among major sectors in Pakistan. Yet Pakistan has seen the smallest reallocation of labor away from agriculture relative to its peers.[5]

Where Are Workers Going?

If workers are leaving agriculture—even slowly—where are they going? This question is central to understanding Pakistan's development trajectory.

Workers are moving into sectors with low productivity growth rather than high-growth manufacturing or tradable services. Construction, wholesale and retail trade, and transport have absorbed much of the labor leaving agriculture. While these sectors offer somewhat higher wages than farming, they tend to have limited scope for the technological upgrading and export competition that drive sustained productivity gains.

Manufacturing, by contrast, has failed to absorb workers at the rate seen in successful Asian economies. Pakistan's manufacturing sector remains small relative to peers.

Why Labor Does Not Move

Several policies keep resources calcified in agriculture:

Support prices: The government sets guaranteed minimum prices for key crops like wheat and sugarcane. This reduces the risk of farming and discourages labor from seeking higher-return activities elsewhere.

Tax preferences: Most agricultural income is effectively untaxed in Pakistan. This creates a tax advantage for agriculture relative to manufacturing and services, distorting investment decisions.

Subsidized credit: The State Bank of Pakistan operates concessional financing schemes for agriculture. While intended to support farmers, these subsidies further tilt incentives toward agriculture.

The cumulative effect is resource misallocation. Capital and labor that could be more productively employed in manufacturing or services remain in agriculture.

The Complexity Trap: Why Pakistan Does Not Make Complex Things

One way to measure an economy's productive capabilities is through the Economic Complexity Index (ECI). Developed by researchers at Harvard and MIT, the ECI measures how diverse and sophisticated a country's export basket is. Countries that export a wide variety of complex products—products that require significant know-how and are made by few other countries—score higher.

Pakistan's Stagnant Complexity

Pakistan ranked 84th on the Economic Complexity Index in 2022.[6] This ranking is roughly unchanged from where Pakistan stood in 2000—meaning the economy has not become measurably more sophisticated in over two decades.

The contrast with peers is stark. Vietnam improved from approximately 60th to the top 30 over the same period. Bangladesh also improved significantly. These countries diversified into more complex products; Pakistan did not.

What Pakistan Exports

Pakistan's export basket remains dominated by textiles, apparel, and agricultural products. The top exports include cotton yarn, rice, ready-made garments, leather goods, and sports goods. These are "low complexity" products—they require relatively simple production processes and are exported by many countries.

Knowledge-intensive exports—machinery, electronics, pharmaceuticals, precision instruments—remain a small fraction of Pakistan's total.

Why Complexity Matters

Economic research shows that complex economies grow faster. Countries that make complex products tend to have higher wages, because those products require skills that are in limited global supply. They also tend to be more resilient, because diversified economies are less vulnerable to price shocks in any single commodity.

Pakistan's specialization in textiles and agriculture limits its ability to diversify. The IMF analysis notes that products "within reach"—those that are technologically related to current exports—include glassware, paints, chemicals, industrial fabrics, paper, cosmetics, and rubber products.[5] But moving into these products requires a level playing field, not continued protection of existing industries.

Protection Breeds Stagnation: Trade Policy Failure

Pakistan's trade policy has been a significant contributor to economic underperformance. The country is among the most protected economies in the world, and protection has increased rather than decreased in recent years.

The Scale of Protection

Pakistan sits in the 90th percentile of trade restrictions globally on the Multilateral Applied Tariff Restrictions (MATR) index.[5][9] Pakistan's weighted average tariff is the second highest among its peers.[5]

Perhaps most concerningly, protection has been increasing rather than decreasing. Tariffs rose from below 15% in FY15 to approximately 20% in FY21, reflecting the addition of Additional Custom Duties (ACDs) and Regulatory Duties (RDs).[5][7]

How Protection Hurts

High tariffs create two problems for economic growth.

First, they create an "anti-export bias." When import tariffs on final goods are high, domestic firms can charge higher prices in the local market. This makes selling domestically more attractive than exporting, where they must compete at world prices. Firms rationally prioritize domestic sales over export development.

Second, high tariffs on intermediate inputs—components, raw materials, machinery—make Pakistani manufacturers uncompetitive. A Pakistani firm that pays high tariffs on imported inputs cannot produce goods as cheaply as a Vietnamese or Bangladeshi competitor that faces lower input costs.

Exchange Rate Misalignment

Protection was compounded by periods of exchange rate overvaluation. The IMF estimated the real exchange rate was overvalued by 10-20% in 2017 and 7-33% in 2018 (depending on methodology).[10] An overvalued exchange rate acts like a tax on exports and a subsidy for imports, further discouraging export-oriented activity.

The Result

Pakistan's export growth stagnated, particularly in the 2010s. Domestic firms remained protected from international competition, reducing pressure to innovate, cut costs, or improve quality. The coefficient of variation of net taxes—a measure of how unevenly trade policy treats different sectors—is 1.76 in Pakistan, the highest among its peers.[5][13]

Global Value Chains: A Missing Link

Another dimension of Pakistan's development challenge is its limited integration into global value chains (GVCs). GVC participation involves both "forward linkages" (providing inputs to other countries' exports) and "backward linkages" (importing inputs for domestic production and export).

Research suggests that Pakistan's GVC participation is among the lowest in the developing world.[15] Backward linkages—importing specialized components and materials for processing and re-export—have been associated with technology transfer, productivity gains, and reduced domestic resource misallocation.

Countries like Vietnam and Bangladesh have integrated deeply into global manufacturing networks, particularly in textiles and electronics. This has provided both demand for their exports and access to foreign technology and management practices.

Pakistan's limited GVC integration may reflect multiple factors: infrastructure constraints, energy costs, regulatory barriers, and the same structural transformation failures that have slowed manufacturing growth more broadly.

The Remittance Economy

One factor that may help explain Pakistan's unusual development path is the role of remittances. Pakistan is one of the world's largest recipients of remittances, and these inflows have grown substantially over time.

In 2000, remittances were just 1.08% of Pakistan's GDP.[4] By 2015, they had reached 6.44% of GDP.[4] By 2022, remittances exceeded 8% of GDP.[4]

This surge in remittances has complex effects on the economy. Remittance income flows primarily to households, who tend to spend it on housing, land, and consumer goods rather than productive investment. This can fuel growth in construction and services while providing less stimulus to manufacturing.

Some economists argue that large remittance flows can contribute to "Dutch disease"—where an inflow of foreign currency raises the real exchange rate, making exports less competitive. Whether this has occurred in Pakistan is debated, but the structural pattern of growth in non-tradable sectors is consistent with such dynamics.

The Capital Deepening Puzzle

Beyond sectoral shifts, productivity growth depends heavily on capital deepening—equipping workers with more and better tools, machinery, and equipment. A farmer with a tractor is more productive than one with a hand plow; a factory with modern equipment outproduces one with outdated machinery.

Academic research using Penn World Table data has documented a troubling pattern: Pakistan's capital-output ratio appears to have declined over several decades, while successful Asian economies saw dramatic increases.[15]

If accurate, this suggests that Pakistan has not been accumulating capital at rates sufficient to raise productivity. The reasons for this pattern could include low domestic savings, capital flight, poor investment climate, or misallocation of investment toward unproductive sectors like real estate speculation.

The Enabling Environment That Does Not Enable

Beyond trade policy, Pakistan's business environment imposes additional costs on productive activity.

Public Investment Failure

Pakistan has a significant public investment efficiency gap. According to an IMF Public Investment Management Assessment (PIMA) conducted in 2018, only 62% of public investment spending translates into actual productive public capital—a 38% efficiency gap.[11]

The project pipeline is severely backed up. The "throw forward"—the estimated time to complete all currently approved projects at current funding rates—is 14 years.[5] The cost to complete all projects in the development budget is approximately 10 times the FY25 allocation.[5]

State-Owned Enterprises

Pakistan has 82 commercial state-owned enterprises (SOEs). Since 2016, these enterprises have collectively been loss-making and net recipients of government support.[5][14] They absorb fiscal resources that could otherwise be invested in education, health, or infrastructure.

Human Capital Underinvestment

Pakistan underinvests in human capital relative to peers. Education spending as a share of GDP is low. Health indicators lag: Pakistan has the highest infant mortality rate in the region.[5] Adult literacy rates and the proportion of trained teachers are among the lowest in the region.

The consequences compound over time. Workers who do not receive quality education and healthcare are less productive. Their lower productivity translates into lower wages and slower growth, reducing the tax revenue available for public investment in the next generation's human capital.

The Potential: What Could Pakistan Achieve?

The gap between Pakistan's current trajectory and what it could achieve is substantial.

The Human Capital Dividend

The World Bank estimates that if Pakistan invested in human capital at levels comparable to its peers, GDP per capita could be 15 percentage points higher by 2047.[8] This is a measure of the opportunity cost of underinvestment—the growth that Pakistan is forgoing by not adequately educating and caring for its population.

Products Within Reach

Pakistan's current export basket, while dominated by low-complexity products, nonetheless provides a foundation for diversification. Products that are technologically related to current exports—and therefore "within reach"—include glassware, paints, chemicals, industrial fabrics, paper, cosmetics, and rubber products.[5]

But moving into these products requires policy reform. Firms need access to imported inputs at world prices. They need a stable and predictable regulatory environment. They need infrastructure that works. And they need workers with appropriate skills.

What the Data Cannot Tell Us

Why Reforms Fail to Stick

Pakistan has attempted reforms multiple times. IMF programs, World Bank structural adjustment loans, and domestic reform initiatives have come and gone. Yet the fundamental patterns persist. The data can show that Pakistan remains protected and unproductive, but it cannot fully explain why political economy constraints prevent sustained reform.

Who Benefits from Protection?

High tariffs and restricted trade must benefit someone, or they would not persist. Import-competing industries, their workers, and associated political interests presumably gain from protection. But the data on who specifically benefits—and how much—is not systematically available.

The Informal Economy

Pakistan's large informal sector—estimated at 30-40% of GDP—is imperfectly captured in productivity statistics. Workers in informal enterprises may be more productive than formal data suggest, or less. Resource misallocation within the informal sector is not measurable with available data.

Quality Versus Quantity of Human Capital

The data show that Pakistan underinvests in education and health. But the efficiency of that spending—whether Pakistani schools and hospitals deliver value for money—is harder to measure.

Why FDI Avoids Pakistan

Foreign direct investment in Pakistan is low relative to peers, despite the country's large population and potential market. Survey evidence and anecdotal reports point to regulatory uncertainty, security concerns, and macroeconomic instability. But the precise weights that foreign investors assign to each factor are not directly observable.

Causation Versus Correlation

This analysis presents correlations between policies (protection, underinvestment) and outcomes (slow growth, stagnant complexity). The claim that these policies caused poor outcomes is supported by economic theory and cross-country evidence. But Pakistan is one country with one history, and counterfactuals cannot be observed.

Sectoral Data Verification

Claims about within-sector productivity growth, capital-output ratios, and GVC participation come from academic research using UNU-WIDER and Penn World Table data. These specific figures have not yet been verified against primary sources and should be treated with appropriate caution.

Data Notes

  1. World Bank Open Data. Indicator: NY.GDP.PCAP.PP.KD (GDP per capita, PPP, constant 2021 international $). Countries: Pakistan, India, Bangladesh, China, Vietnam. Years: 1990-2022. Accessed: 2026-02-22. data.worldbank.org
  2. World Bank Open Data. Indicator: SL.GDP.PCAP.EM.KD (GDP per person employed, constant 2021 PPP $). Countries: Pakistan, India, Bangladesh, China, Vietnam. Years: 1991-2022. Accessed: 2026-02-22. data.worldbank.org
  3. World Bank Open Data. Indicator: SL.AGR.EMPL.ZS (Employment in agriculture, % of total employment, ILO modeled estimate). Countries: Pakistan, India, Bangladesh, China, Vietnam. Years: 1991-2022. Accessed: 2026-02-22. data.worldbank.org
  4. World Bank Open Data. Indicator: BX.TRF.PWKR.DT.GD.ZS (Personal remittances received, % of GDP). Countries: Pakistan. Years: 1990-2022. Accessed: 2026-02-22. data.worldbank.org
  5. IMF Selected Issues Paper, September 2024. "Pakistan: Economic Performance and Road Ahead." Part of the 2024 Article IV Consultation package. Provides primary analysis of Pakistan's growth decomposition, trade policy, economic complexity, and comparison with peers.
  6. Observatory of Economic Complexity (OEC). Economic Complexity Index rankings and product space data. oec.world
  7. World Bank (2021). Trade policy analysis cited in IMF Selected Issues Paper regarding tariff increases and additional custom duties.
  8. World Bank (2023). Human capital investment scenarios and GDP per capita projections for Pakistan.
  9. Estefania-Flores et al. (2022). Multilateral Applied Tariff Restrictions (MATR) index methodology and country rankings.
  10. IMF Article IV Consultations (2017, 2019). Real exchange rate misalignment estimates for Pakistan.
  11. IMF Public Investment Management Assessment (PIMA), 2018. Public investment efficiency gap estimate of 38%.
  12. Economic Transformation Database (GGDC). Sectoral labor productivity and employment share data.
  13. ADB Input-Output Tables. Used for coefficient of variation of net taxes calculation across countries.
  14. Pakistan Ministry of Finance. SOE performance data and government support figures.
  15. Pirzada, M.D.S., Sherazi, J.M., Sherazi, A.Z., and Sherazi, S.I. (2024). "Pakistan and the Rest: Why Has It Fallen Behind?" University of Bristol Discussion Paper 24/778. Note: This academic paper is used for analytical framing and context only. Claims from this paper about within-sector productivity, capital-output ratios, TFP, and GVC participation require verification against primary data sources (Penn World Table 10.01, UNU-WIDER ETD, UNCTAD-Eora).
  16. Methodology Notes: Agriculture employment share data uses ILO modeled estimates, which may differ from UNU-WIDER Economic Transformation Database figures cited in academic literature. Labor productivity is calculated as real GDP divided by total employment, both in constant 2021 PPP terms. The verified labor productivity growth figure for Pakistan (47.7%) differs slightly from the 45% cited in Pirzada et al., likely due to different PPP base years and data vintages.
  17. Unverified Claims Requiring Primary Data: Within-sector productivity growth of 0.73% per year (requires UNU-WIDER ETD). Capital-output ratio decline from 3.0 to 1.61 (requires Penn World Table 10.01). GVC participation rates and backward linkage effects (requires UNCTAD-Eora or ADB MRIO data).