UNDP works with multiple stakeholders and institutions to adopt a bottom-up approach to support public engagement and strengthen local government service delivery and infrastructure through the project.

Key Outcomes

  • To improve local planning and service delivery, the project will identify capacity development needs of the local government authorities to develop tools to enhance participatory, gender responsive and accountable service provisions. It will further review and support the improvement of data management capacities in each of the Provinces.
  • To enable local governance systems to be innovative and inclusive to address multidimensional challenges by creating a space for collaborative co-creation with a range of stakeholders. The project will support annual learning sessions along with online platforms that will be developed to share information and support peer to peer learning.
  • To strengthen the ability of Central and Provincial institutions to support local government authorities to deliver better by issuing regulations to institutionalize good practices. This includes working closely with Ministries to issue guidelines to improve efficiency.

The Capacity Development of Local Governance project (CDLG) is part of the European Union’s Strengthening Transformation, Reconciliation and Inclusive Democratic Engagement (STRIDE) Programme . The project is supported by the European Union, The World bank, and the British Council, to strengthen the local governance system in Sri Lanka. The CDLG project is implemented in four provinces – North, North Central, Eastern and Uva, with the overall objective of strengthening the capacities of Local Authorities (LAs) to be inclusive, responsive, and countable and be able to plan, enhance resilience and deliver better services, alongside the Local Development Support (LDSP) Project.

Accountability

Every step taken for the benefit of the citizens is a clear step

How do the four provinces perform in terms of the 27 sub-indicators of Institutional Assessment

Color code

Scored <25 -
requires urgent
attention 

Scored >26 but
<50
 – average
 performance

Scored >50
but < 75 –
Good
performance

Scored >75
 – Excellent Performance


Sub Indicators 
Average 
Uva 
East 
North 
North
Central

Legal Compliance in Financial Management

87%90%86%90%83%

Good Practices in Reg. Service Delivery

78%77%80%80%
74%

Regulatory Service Delivery

71%67%77%63%77%
Partnership
69%61%60%94%60%

Service Coverage

66%63%64%66%70%

Procurement

64%53%71%68%66%

CP – Human Resources

63%42%74%
82%56%

Office Management Good Practices

63%
73%64%60%55%

Environment Management

60%
65%58%56%60%

GRM

56%43%66%68%45%

Human Resources

55%46%61%59%56%

Inclusiveness

54%51%63%57%44%

Key Vehicles

53%50%53%54%56%

Planning Capacity

53%53%53%54%52%

Revenue Collection

48%47%51%45%47%

Expenditure Management

47%44%45%49%51%

CP – Process

41%13%76%41%34%

Social Protection

41%32%47%39%44%

Budget Management

40%41%36%44%40%

Inform Dissemination

34%32%36%37%32%

Use of ICT

29%41%24%31%21%

Innovative Practices in Financial Management

22%40%14%19%16%

Delivering Social Dev. Services

19%32%10%12%23%

Allocation for Social Dev. Services

16%13%10%9%31%

Expenditure for Social Dev Services

15%19%10%8%24%

Staff for Key Services

8%4%18%2%10%

Innovation in Regulatory Services

3%9%0%1%0%

Source - Diagnostic Study on Local Government Institutions and Finances, and Capacity Needs Assessment by Asia Foundation

No major variations are observed for the majority of sub-indicators among the four provinces.

The Eastern Province records a relatively better performance for the 27 sub indicators with securing scores above 50 out of 100 for 16 sub indicators. LAs in Eastern Province reported relatively higher scores for procurement (presence of trained staff, proportion of local procurements commissioned), inclusiveness (disability access), and community participation processes (community consultations for planning and budgeting, formation of social audit committees). 

The Northern Province secured scores above 50% for 14 out of the 27 sub-indicators. LAs in Northern Province reported relatively high scores for partnerships (public-private partnerships, participation in inter-governmental meetings) and human resources deployment for community participation.

The North Central Province reported relatively higher scores for delivery of regulatory services, service coverage (delivery of mandated services) and expenditure management (efficiency and compliance).

Uva Province reported relatively high scores for legal compliance in financial management, good practices in office management and environment management.

Overall scores of seven key indicators consolidated for the project area

Source - Diagnostic Study on Local Government Institutions and Finances, and Capacity Needs Assessment

The overall objective of the CDLG project is to strengthen the capacities of Local Authorities (LA) to be inclusive, responsive, and accountable and be able to plan, enhance resilience, and deliver better services. The capacity development support, coupled with the fiscal support (through Basic Transfers and Performance Transfers provided through LDSP project) for inclusive service delivery and economic investment, is aimed at strengthening the role of elected representatives at the local level. It is about improving local governance systems and making local governments “fit for the future”, as well as increase downward accountability of elected officials and local governments. The project also aims to strengthen mechanisms for public engagement in local decision-making processes.
Towards this end, UNDP has commissioned The Asia Foundation (TAF) to conduct a ‘Diagnostic Study on Local Government Institutions and Finances, and Capacity Needs Assessment’ in the four target provinces. A key component of the assignment involves a study on the institutional systems (institutional assessment) associated with service delivery, and the finance systems to understand and profile the factors constraining effectiveness and efficiency of local service delivery, the robustness, and efficiency of local and regional level equalization measures and local government performance. Since this component was carried out by TAF for three provinces – North, East, and Uva – as part of an assignment carried out for the World Bank in 2018, the analysis was carried out for the North-Central Province (NCP) by employing the same methodological tools.

Thematic maps

The maps represented here either pertain to the project or have been generated by the CDLG project.

 

Area covered under Capacity Development of Local Governments Project: This project covers an area of 37829.53 sq. Km covering the four main provinces of the island namely North, East, North Central and Uva. Further, 12 districts belonging to the provinces are marked separately on the map.  Download Map Here      Download Spatial Data Layer Here

 

Flood Hazard Areas in the Uva Province: The distribution of flood hazards within Uva Province by its severity is illustrated in the map. Siyambalanduwa, Buttala, Thanamalwila, and Wellawaya are high hazard divisions (DSD areas).  Download Map Here        Download Spatial Data Layer Here

 

Drought and Heat Stress Hazard Areas in the Uva Province: The distribution of drought and heat stress hazards in the Uva Province by severity is illustrated in the map. Siyambalanduwa, Buttala, Thanamalwila, and Monaragala, Passara, and Uva Paranagama are seen to be high hazard Divisions (DSD areas).   Download Map Here           Download Spatial Data Layer Here

 

Landslide and Cutting Failure Hazards in Uva Province: The distribution of Landslide and Cutting Failure Hazards in Uva Province by its severity is illustrated in the map. Haali Ela and Bandarawela Divisions (DSDs) are most prone to this hazard.     Download Map Here            Download Spatial Data Layer Here

 

Lightning Hazard in the Uva Province: The distribution of Lightning Hazard in Uva Province by its severity is illustrated in the map. Haldummulla, Buttala, and Wellawaya are the Divisions (DSD areas) that are most at risk.    Download Map Here          Download Spatial Data Layer Here

 

 

 

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