[IFC-PJSI] Indicator Frameworks for Sustainability - Closeread Prize

[IFC-PJSI] Indicator Frameworks for Sustainability

Authors: K. R. Hari Krishna


Read the closeread article: GitHub - HariKrishnaKR1/IFC-PJSI: Indicator Frameworks for Sustainability - Localising and Adapting SDG frameworks Using National Public Datasets - Peace, Justice and Strong Institutions
Reproducible repo: Indicator Frameworks for Sustainability


Abstract

The IFC-PJSI adapts UN SDGs to India, focusing on Peace, Justice, and Strong Institutions. Using datasets like NCRB and NJDG, it creates a localised framework, rescaling indicators on a 0-100 scale. Results are displayed in a colour-coded format, making it intuitive for creating interventions towards sustainable development.

Indicator Framework for Sustainability (ICF-PJSI)

The Indicator Framework for Sustainability (IFC-PJSI) is designed to adapt the United Nations Sustainable Development Goals (SDGs) to India, focusing on Peace, Justice, and Strong Institutions. The framework uses national public datasets like the National Crime Records Bureau (NCRB) and National Judicial Data Grid (NJDG) to create clear, measurable indicators for assessing progress in these areas.

Methodology

The methodology of the IFC-PJSI involves several steps:

1. Rescaling Data

Data from the indicators is rescaled on a 0-100 scale for consistency and comparability. A score of 100 represents the best possible outcome, while 0 indicates the worst. This allows for easy comparison of performance across regions. The lower boundary is set at the 2.5th percentile of the data, and the upper boundary is based on various criteria:

  • Where possible, absolute SDG targets like zero poverty or full school enrolment are used to set the upper bound.
  • For indicators without clear SDG targets, the “Leave-No-One-Behind” principle is applied, aiming for universal access or zero deprivation.
  • For science-based targets (such as reducing emissions), the upper bound is set according to these targets, like the goal of zero emissions by 2050.

2. Grouping Indicators

The indicators are grouped under specific SDG targets. For example, targets related to ending violence, improving judicial services, and strengthening institutions. Each indicator is colour-coded:

  • Green: Target is met or on track.
  • Yellow: Some issues remain.
  • Orange: Significant problems persist.
  • Red: Major challenges need to be addressed.

3. Setting Targets

The framework uses a realistic target-setting approach, aiming for the performance level of the top five regions or countries for each indicator. This ensures that the targets are practical and achievable within a reasonable timeframe, like the 2030 target for the SDGs.

4. Visualisation

The results are displayed through an interactive dashboard. The dashboard includes heatmaps, bar charts, and tables, making it easier to see which regions are performing well and which are struggling. This helps users quickly identify areas needing attention.

Data Sources and Implementation

The framework relies on national datasets like:

  • National Crime Records Bureau (NCRB): Offers data on crime rates and safety, such as incidents of IPC/SLL crimes.
  • National Judicial Data Grid (NJDG): Provides information on court cases, backlogs, and judicial performance.

The data from these sources is combined and analysed to give a clear picture of India’s performance on peace, justice, and institutions. The framework is initially implemented at the state level, but can be expanded to district-level analysis for more detailed insights.