A backward region is a geographically defined area characterized by pervasive economic stagnation, low standards of living, structural institutional gaps, and underutilized resource potential relative to national or state averages. In Indian economic geography, regional backwardness is not merely a reflection of low per capita income but a multi-dimensional manifestation of historical, physical, demographic, and structural vulnerabilities.
Socio-Economic Indicators of Backwardness
- Demographic Stress: High infant mortality rates (IMR), low female literacy, high dependency ratios, and high out-migration rates of working-age populations.
- Economic Structure: Over-dependence on primary sector activities, low cropping intensity, negligible industrial output, and a low percentage of main workers.
- Infrastructural Deficits: Low per capita power consumption, poor road density per 100 square kilometers, and inadequate access to safe drinking water and banking services.
Physical and Ecological Indicators
- Physiographic Isolation: Rugged terrain, high altitudes, or desert conditions that impede communication networks (e.g., Ladakh, Lahaul and Spiti).
- Climatic Extremes: High vulnerability to recurrent meteorological disasters like droughts (e.g., Bundelkhand) or chronic flooding (e.g., Kosi basin in Bihar).
- Resource Curse: Regions rich in mineral wealth but suffering from low human development indices due to poor wealth redistribution (e.g., Bastar in Chhattisgarh, Kalahandi in Odisha).
Institutional Committees on Delineating Backwardness
The identification of backward areas for fiscal devolution and targeted planning has been guided by several landmark committees appointed by the Central Government.
B. Sivaraman Committee (National Committee on Development of Backward Areas, 1981)
This committee moved away from purely administrative criteria to classify backward regions based on fundamental environmental and spatial handicaps. It identified six distinct problem areas:
- Chronically drought-prone areas.
- Desert areas (hot and cold).
- Tribal areas.
- Hill areas.
- Chronically flood-affected basins.
- Coastal areas facing salinity ingress.
E.K. Nayanar Committee (1997)
Focused on identifying backward blocks using infrastructure indices, recommending targeted capital investment in roads, communication, and primary healthcare networks to bridge regional disparities.
Raghuram Rajan Committee (2013)
Introduced a Multi-Dimensional Backwardness Index (MDBI) to allocate central funds objectively. The index calculated scores between 0 (least backward) and 1 (most backward) based on ten equal-weighted parameters including education, health, household amenities, and female literacy. It classified Indian states into three distinct tiers:
- Relatively Developed: Goa, Kerala, Tamil Nadu, Maharashtra.
- Less Developed: West Bengal, Odisha, Rajasthan, Chhattisgarh.
- Least Developed: Bihar, Jharkhand, Uttar Pradesh, Madhya Pradesh.
Typology of Backward Regions in India
Indian geographers categorize backwardness into distinct geographic typologies, each requiring tailored policy interventions.
Historical Backwardness (The BIMARU and Purvanchal Phenonmenon)
This refers to regions in the Indo-Gangetic plains and central India (Bihar, Madhya Pradesh, Rajasthan, Uttar Pradesh) that suffered from exploitative land tenure systems during the colonial era (such as Permanent Settlement Zamindari). Despite fertile alluvial soils and high groundwater potential, these regions exhibit low agricultural productivity per capita and severe institutional inertia.
Tribal and Forest-Belt Backwardness (The Red Corridor)
Concentrated in the central Indian plateau—spanning parts of Jharkhand, Odisha, Chhattisgarh, and Telangana—these regions possess rich mineral and forest resources but suffer from extreme isolation, poor land records, and displacement, which historically fueled left-wing extremism.
Frontier and Border Area Backwardness
Geographically peripheral regions along international borders (e.g., Jammu & Kashmir, Northeast India, parts of Rajasthan and Ladakh) that suffer from physical isolation, high transport costs, and security-related investment disincentives.
Comparative Matrix of Highly Vulnerable Backward Pockets
| Region | Primary Geographical/Economic Vulnerability | States Covered | Key Institutional Focus / Interventions |
| Bundelkhand | Rocky terrain, low water-retention capacity of soil, high rainfall variability. | Uttar Pradesh, Madhya Pradesh | Ken-Betwa River Interlinking Project, Bundelkhand Package. |
| KBK Region | Extreme poverty, high tribal concentration, historical starvation vulnerabilities. | Odisha (Kalahandi, Balangir, Koraput) | Special Plan for KBK, Revised Long-Term Action Plan (RLTAP). |
| Purvanchal | High population density, fragmented landholdings, annual flood damage. | Eastern Uttar Pradesh | Purvanchal Expressway economic corridors, groundwater irrigation expansion. |
| Marathwada | Located in the rain-shadow zone of the Western Ghats, severe groundwater depletion. | Maharashtra | Jalyukt Shivar Abhiyan, Marathwada Water Grid Project. |
Constitutional and Policy Frameworks for Balanced Regional Development
The Constitution of India incorporates specific provisions to guard against spatial discrimination and ensure equitable distribution of financial resources.
Constitutional Provisions
- Article 275: Grants-in-aid from the Union to specific states to promote the welfare of Scheduled Tribes or raise the level of administration in scheduled areas.
- Article 371 to 371-J: Special provisions for backward regions within states, including the establishment of separate development boards for Vidarbha and Marathwada (Maharashtra), Saurashtra and Kutch (Gujarat), and the Hyderabad-Karnataka region.
- Fifth and Sixth Schedules: Provision for autonomous governance mechanisms (such as Tribal Advisory Councils and Autonomous District Councils) to prevent economic exploitation of indigenous resource bases.
Central Sector and Centrally Sponsored Schemes
- Backward Regions Grant Fund (BRGF): Designed to redress regional imbalances by providing financial resources for bridging critical infrastructural gaps that local bodies cannot fulfill through traditional funding.
- Aspirational Districts Programme (ADP): Launched in 2018 by NITI Aayog, this scheme monitors 112 under-developed districts dynamically across 49 key performance indicators, fostering competitive and cooperative federalism.
- Pradhan Mantri Khanij Kshetra Kalyan Yojana (PMKKKY): Utilizes funds collected under District Mineral Foundations (DMF) to implement developmental and welfare projects in mining-affected backward areas.
Spatial Analysis Techniques for Mapping Backwardness
Planners utilize specific quantitative tools in regional analysis to isolate and prioritize backward geographical blocks.
Principal Component Analysis (PCA)
A statistical technique used to compress a large set of socio-economic variables (e.g., literacy, road length, infant mortality) into a single composite index of development, eliminating multi-collinearity.
Location Quotient (LQ)
Measures the concentration of a particular industry or economic activity in a region relative to the national average. A low LQ across manufacturing sectors signifies industrial backwardness.
Gini Coefficient and Lorenz Curve
Applied to spatial data to measure the degree of inequality in infrastructure distribution or income across different districts within a state.
Core Issues in Planning for Backward Regions
- The Resource Curse Paradigm: High mineral and resource exploitation without structural reinvestment in local healthcare, skills, or secondary industries, creating economic enclaves with minimal local economic spillover.
- Top-Down Administrative Duplication: Overlapping schemes run by central and state governments often lead to fragmented resource utilization without addressing root ecological bottlenecks.
- Capital Flight and Brain Drain: Persistent infrastructural deficits trigger a cycle where educated youth and local financial capital migrate outward to highly urbanized economic cores, perpetuating peripheral stagnation.