Poverty, Inequality, Unemployment, and Human Resources
- **Poverty** is the inability to meet basic needs — Nepal measures **absolute poverty** as living below Rs 3,222 per person per month (poverty line, NLSS 2010/11)
- the poverty rate fell from 42% (1995/96) to 18.7% (2022/23, NPC estimate). **Inequality** is measured by the Lorenz curve and the **Gini coefficient** (Nepal's Gini is 0.30 — moderate). **Unemployment** is when willing and able workers cannot find jobs
- Nepal's unemployment rate is around 6% (NLSS), but **underemployment** in agriculture is far higher. Types of unemployment: frictional, structural, cyclical, seasonal, disguised. **Human resources** are the population equipped with education, skills and health. Nepal's **Human Development Index (HDI)** for 2023/24 is **0.602** with **rank 143 out of 193** countries — medium human development but with large gaps between provinces (Bagmati 0.632 vs Karnali 0.484).
In this chapter
Poverty — Meaning & Types
- Absolute poverty — when income is below a fixed minimum level needed to buy a basic basket of goods. In Nepal, the official poverty line is Rs 3,222 per person per month at 2013/14 prices (NLSS-III); the Fourth NLSS (2022/23) estimated the poverty rate at 18.7%, down from 25.2% in 2010/11 and 42% in 1995/96.
- Relative poverty — when income is below a certain percentage (often 60%) of the median national income; relative poverty exists even in rich countries. A third concept is multidimensional poverty** (UNDP), which adds health, education, and living-standard deprivations — Nepal's Multidimensional Poverty Index (MPI) 2018 was 0.074, meaning 28.6% of Nepalis were multidimensionally poor
Causes & Measures of Poverty in Nepal
- investment in agriculture — irrigation, improved seeds, extension services
- microfinance and cooperative credit to poor women (Chhimek, Nirdhan)
- education and skill training — technical & vocational education (CTEVT courses)
- social protection — senior citizen allowance Rs 4,000/month, Dalit allowance, child grant
- infrastructure — rural roads (PM's Agricultural Road Programme), electricity (micro-hydro)
- foreign employment & remittance — pulls families out of poverty
- tourism promotion in rural areas (homestay programmes in Ghalegaun, Sirubari)
Major causes and measures of poverty in Nepal
| Category | Causes | Measures |
|---|---|---|
| Economic | Low agri productivity, no industry, underemployment | Irrigation, industrialisation, microfinance |
| Social | Caste/gender discrimination, low literacy | Education for girls/Dalits, awareness |
| Geographical | Rugged terrain, poor roads (Karnali) | Rural roads, micro-hydro, bridges |
| Political | Conflict 1996-2006, instability | Stable govt, peace, decentralisation |
| Demographic | High population growth, large families | Family planning, women empowerment |
| Social protection | No safety net for poor/old/disabled | Senior allowance, child grant, insurance |
Inequality — Lorenz Curve & Gini Coefficient
Inequality is the unequal distribution of income or wealth among individuals or households in an economy. The Lorenz curve, developed by Max O. Lorenz in 1905, is a graphical measure — it plots the cumulative percentage of population (on x-axis) against the cumulative percentage of income they receive (on y-axis). The line of perfect equality is a 45° diagonal — the bottom 10% get 10% of income, the bottom 50% get 50%, etc. The actual Lorenz curve bows below the diagonal — the more it bows, the greater the inequality. The Gini coefficient, developed by Corrado Gini in 1912, summarises the Lorenz curve into a single number between 0 (perfect equality) and 1 (perfect inequality). Nepal's Gini coefficient for consumption was 0.328 in 2010/11 (NLSS-III), 0.30 in 2022/23 — moderate inequality, lower than South Asian neighbours like India (0.35) and Bangladesh (0.39).
Gini coefficient (A = area between diagonal and Lorenz curve; B = area under Lorenz curve)
Unemployment — Types
- Frictional unemployment — workers temporarily between jobs (a fresh SEE graduate looking for a first job);
- Structural unemployment — mismatch between skills workers have and skills demanded (e.g. a typist jobless when computers replace typewriters);
- Cyclical unemployment — caused by recession or downturn in the business cycle (rare in Nepal);
- Seasonal unemployment — agriculture work only during planting/harvesting seasons; common in Terai paddy farming;
- Disguised (hidden) unemployment** — more workers than needed on the same job, so removing some does not reduce output; very common in Nepali family farms where 4 brothers work the same 1 ropani field. Migration to foreign jobs (especially Gulf, Malaysia) is partly a response to disguised unemployment in agriculture
Five types of unemployment with examples
| Type | Meaning | Nepal Example |
|---|---|---|
| Frictional | Temporarily between jobs | +2 graduate looking for first job |
| Structural | Skill mismatch | Handloom weaver jobless after mill closes |
| Cyclical | Due to recession | Construction worker during 2015 earthquake slowdown |
| Seasonal | Off-season in agriculture | Paddy farmer idle in winter (Terai) |
| Disguised | Surplus labour, no output loss | 4 brothers on 1 ropani family farm |
Human Resources & Human Development Index (HDI)
- long and healthy life — measured by life expectancy at birth (Nepal: 71.3 years)
- knowledge — measured by expected years of schooling (12.2) and mean years of schooling (5.1)
- decent standard of living — measured by Gross National Income per capita (Nepal: USD 4,640 in PPP terms). Within Nepal, there are huge provincial disparities — Bagmati (0.632) is highest, Karnali (0.484) is lowest — a gap of 0.148
HDI = geometric mean of life-expectancy, education, and income indices
Nepal's HDI Snapshot (2023/24)
HDI value 0.602; rank 143 / 193; category medium human development. Life expectancy at birth 71.3 years; expected years of schooling 12.2; mean years of schooling 5.1; GNI per capita (PPP USD) 4,640. Nepal's HDI has steadily improved (0.358 in 1990 → 0.602 in 2023), but the country still trails South Asian average (0.633) and lags Sri Lanka (0.782), India (0.644), and Bangladesh (0.670).
Practice Problem
A small economy has 100 households. The bottom 20% receive 5% of total income, the next 20% receive 10%, the next 20% receive 15%, the next 20% receive 25%, and the top 20% receive 45%. (a) Tabulate the cumulative percentage of population against cumulative percentage of income (the Lorenz-curve coordinates). (b) Use the simple trapezoid method to estimate the area B under the Lorenz curve, and hence compute the Gini coefficient (G = A / (A+B) = 1 − 2B).
Practice Problem
In a Nepali district, the labour force is 2,00,000. Of these, 1,86,000 are employed and 14,000 are looking for work but cannot find jobs. Another 6,000 people have given up looking (discouraged workers) and are not in the labour force. The total working-age population is 2,80,000. (a) Calculate the unemployment rate. (b) Calculate the labour force participation rate (LFPR). (c) If 2,000 of the employed are working only 2 hours a week (severely underemployed), what is the combined unemployment + severe underemployment rate?