Presentation by Rajesh Mathur, Vice Chairman, Esri India (NIIT GIS Ltd) at 'ICT for Urban Governance' conference on how GIS can be used by municipal corporations / urban local bodies for enhancing revenue collection and management. The presentaion addresses following key aspects:
• How can ICT help in the collection and management of ULB revenues, especially property tax?
• What have been some of the more successful initiatives in this regard?
• What are the key issues and challenges in the Indian context?
1. Revenue Collection and Management
Rajesh C Mathur
Vice Chairman,
NIIT GIS Ltd (Esri India)
2. Agenda
• Charter for a Municipal corporation
• Realizing potential of Property Tax
• GIS for Property taxation
• Case study
• Learning’s, Recommendations and Way forward
3. The World Is Facing Many Challenges
Increasing
• Population
• Consumption
• Land Use Conflicts
• Pollution
• Health Needs
Declining
• Resources
• Diversity
• Natural Areas
• Security
. . . GIS Provides Many Solutions To Help
4. 48% of World Population Lived in
Urban Areas in 2003
( 3 Billion People)
Source: World Bank
5. 48% of World Population Lived in
Urban Areas in 2003 ( 3 Billion
People)
4.1 Billion People (55% of population)
Will Live in Cities by 2020
Source: World Bank
6. As High as 40% of India’s
Population will Live in Cities by
2021
Source: Economic Times
7. Challenges for the City Planners
• Housing
• Public Utilities:
- Water
- Power
- Sewerage
- Solid Waste Management
• Transportation
• Healthcare
• Environment Protection
• Law Enforcement
• Disaster Management
• Security
And Raising Capital to Fund the Investment
8. Municipal revenues sources
• Exclusive taxes
- Property tax
- Profession tax
- Entertainment tax*
- Advertisement tax*
• Revenue-shared taxes
- All taxes on goods and services levied by the state government**
• Non-tax revenue
- User charges
- Trade licensing fee
- FSI charge/Betterment charge/Impact fee/Development charge
*if not subsumed under the GST.
** including value added tax (VAT)/sales tax, stamp duty, electricity, purchase tax, luxury tax, taxes on lottery, betting and gambling, entry laxes in lieu of
octroi, etc.
Note: FSI stands for floor space index.
10. Property tax not being realized to its full potential
• Poor assessment rate
• Weak collection efficiency
• Need for better methods for property valuation
• Loss on account of exemptions
How to overcome these challenges?
11. GIS can help in increasing property tax realization
• Link data visually on a common
platform
• Easy, accurate collection of
information
• Covered areaPlot Area, Locality
details, Width of facing roads etc
• Less field visit for complaint
redressal and other assessment
purpose
• Greater visibility through multiple
dashboards
• Transparency and consistency in tax
assessment
12. Municipal GIS Solution for Property Tax Management
Case of Kanpur Nagar Nigam
Objective
• Check property tax collection and track tax
About KNN
evaders • One of the largest
industrial and commercial
• Migrate to unit value tax system municipal corporations in
Uttar Pradesh
• Enhance quality of citizen services • Area: ~ 450 sq km
• Population: 3 million
• Improve efficiency, transparency and • Property tax is the primary
accountability in their functioning source of Revenue
Generation for Nagar
Nigam
15. Municipal GIS Solution for Property Tax Management
Case of Kanpur Nagar Nigam
Approach
• Creation of a GIS based spatial property
database
• Assessment data preparation using
existing details and contact surveys
• Re-numbering of properties
• Applications for property database
repository management and tax
assessment
• Interactive web-GIS system for online
property tax calculation and payment
16. GIS Implementation Process
1 2
Needs GIS
3 4 5
Implementation Pilot Full
Assessment Requirements Alternatives and Project Implementation
Analysis Specifications
17. Project Implementation Phases
PHASE – I : Requirement Analysis
• User Requirement Study
• System Design
• Database Modeling
• Database and Application Design
• Functional Design
PHASE – II: Development
• Data Creation
• Configuration
• Customization/Application Development
• Test cases and Testing
• Integration
• Pilot Implementation
• User Acceptance Test
PHASE – III: Implementation
• Enterprise Wide Implementation
• User Training
• Transfer of Technology
• Support
18. Realizing returns from GIS investments
“3 times increase in
property based tax
revenues”
19. Challenges
• Limited awareness amongst local residents about their key property
details
• Change Management {Internal & External -- building awareness on
long-term benefits}
• Support of staff in survey and data collection
• Accessing and integrating legacy data from various other departments
• Need to build long-term vision, phased approach and management
buy-in
20. Learning’s, Recommendations and Way forward
• Re-engineer business processes to implement key IT initiatives
• Creation of standardized workflows e.g. mandate GIS updates in any
property related transactions
• Maintain active and accurate database of taxpayers to minimize
leakages
• Regular revaluation of base for levying property tax
• Web-enablement of tax collection through online payment /
computerized collection centres
• Opportunities to reuse GIS database across other initiatives for ULBs
21. SLA One map
An integrated online geospatial platform for providing reliable, timely and
accurate location-based/GIS information and services to the public
Notes de l'éditeur
• How can ICT help in the collection and management of ULB revenues, especially property tax?• What have been some of the more successful initiatives in this regard?• What are the key issues and challenges in the Indian context?
In developed countries like Canada and the US, property tax revenues reach up to 3 to 4 per cent of GDP
A recent study based on a survey of 36 largest cities in India shows that the major factors contributing to poor realisation from property tax are poor assessment rate (56 per cent of the properties covered), weak collection efficiency (37 per cent of the property tax demand raised), flawed methods for property valuation, loss on account of exemptions (11.7 per cent), and poorenforcement (Mathur et al. 2009).
GIS based systems has the potential to link data visually on a common platformTransparency and consistency in tax assessment by reducing human interventionsEasy and accurate way of collecting key parameters required for tax calculation purpose, such as Covered area\\Plot Area, Locality details, Width of facing roads etcLess field visit for complaint redressal and other assessment purpose.Better report preparation facility such as mapping of defaulters or non- assessed propertiesFacility to calculate tax based on digitized areasBetter way of assigning new property / house numbers