Local Governance and Environmental Outcomes in Rural India: A Descriptive Analysis of Gram Panchayats in Andhra Pradesh

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ABSTRACT

Local governance performance plays a key role in delivering environmental outcomes, particularly in decentralised systems where service provision and environmental management are key responsibilities of local governments. Using a descriptive framework, this study examines the association between local governance and environmental outcomes at the Gram Panchayat (GP) level, focussing on the state of Andhra Pradesh, by drawing on the Panchayat Advancement Index (PAI-1.0) for the 2022-23 assessment cycle. The PAI is a multi-sector composite indicator comprising nine themes, released by the Ministry of Panchayati Raj (MoPR), with the aim of tracking Panchayat performance on the United Nations’ Sustainable Development Goals (SDGs). To assess this association, the study focuses on two themes: Theme-8 (Panchayat with Good Governance) and Theme-5 (Clean and Green Panchayat), used as proxies for local governance capacity and environmental performance respectively. The association is examined using rank-based correlation analysis, descriptive visualisations and spatial mapping of the PAI score across more than 13,000 GPs in Andhra Pradesh. The results reveal a positive and statistically significant correlation alongside a positive monotonic association between local governance quality (Theme-8) and environmental performance (Theme-5). However, environmental outcomes remain heavily concentrated in lower grade categories, and substantial variation is observed across Panchayats with similar governance performance. Given the cross-sectional and composite nature of the data, the findings are interpreted as descriptive associations rather than causal effects.

1. INTRODUCTION

The Panchayat Advancement Index (PAI) is a new national framework developed by the Ministry of Panchayati Raj (MoPR) to assess the progress of Gram Panchayats (GPs) in achieving Localised Sustainable Development Goals (SDGs). Unlike state and national level sustainability metrics, the PAI compiles validated village-level indicators across nine themes of Localised SDGs (LSDGs) on governance, service delivery, social development, women safety and environmental conditions, making it one of the first large-scale datasets capable of capturing how institutional capacity varies across rural India.

This paper examines whether stronger governance performance is correlated with better environmental outcomes at the village level, and visualises their spatial patterns. India is a valuable setting for examining this due to its highly decentralised governance system, with over 250,000 village administrations responsible for water access, sanitation and service delivery, creating significant variations at the local level. The empirical analysis is limited to the state of Andhra Pradesh, which has substantial PAI coverage with over 13,000 validated Gram Panchayats.

2. LITERATURE REVIEW

The Imperative for Localisation

The adoption of the Sustainable Development Goals (SDGs) by the United Nations in 2015 was built on the shortcomings of the Millennium Development Goals (MDGs). Although the MDGs achieved considerable success — halving extreme poverty, expanding access to clean drinking water for over 2 million people, and making significant strides against tuberculosis and malaria — improvements were uneven, leading to persistent gaps in sanitation, maternal health, and institutional capacity (Slack, 2014). A key critique of the MDG framework was its top-down approach, with limited participation or ownership at the local level (UNDP, 2014), resulting in weak alignment between global targets and local implementation (Reddy, 2016). These limitations informed the design of the SDGs, which place greater emphasis on empowering local institutions as a core pillar of sustainable development.

Elinor Ostrom (1990) famously challenged the prevailing notion of the ‘tragedy of the commons’ by demonstrating that local institutions can manage public goods effectively through monitoring, rule enforcement and collective decision-making, examining diverse CPR systems including irrigation systems in Nepal, Spain and the Philippines; groundwater basins in California; forest commons in Japan; and Alpine grazing commons in Switzerland. Recent empirical research has reinforced these findings: Bisogno et al. (2025) demonstrated a strong positive association between governance scores and SDG attainment across 35 European nations; Wright et al. (2016) found that decentralised territories in Bolivia exhibited more stable forest cover than Peru’s centrally administered counterparts; Kata et al. (2022) found that municipalities in southern Poland with stronger administrative capacity saw higher adoption of household renewables; and Marenco and Kern (2025) found that municipalities in Brazil with functioning environmental councils were nearly five times more likely to adopt environmental management laws.

In development economics literature, governance is understood as the system of rules, institutions and decision-making processes that shape how power is exercised (Wingqvist et al., 2012). This conceptualisation closely aligns with Theme-8 of the PAI (Panchayat with Good Governance), which captures key dimensions of local institutional capacity including participatory planning, transparency, accountability mechanisms, institutional functioning, and administrative effectiveness.