Sustainability Transitions

Measuring Sustainability

Why measure? The popular management adage holds: what gets measured gets managed. In sustainability, measurement is foundational to governance — without it, we cannot know whether we are improving or worsening conditions for climate, pollution, biodiversity, or inequality. But measurement is inherently tricky when dealing with nature, equity, and systems spanning decades. Questions expose the difficulty:

• A city recycles 50% of its waste: sustainable if it pollutes the river?
• A company is carbon neutral: sustainable if it underpays workers?
• Are we more sustainable today than 10 years ago — how would we know?

These push us to examine the tools, frameworks, and assumptions behind sustainability measurement. The session explores indicators, rating systems, market instruments (e.g., carbon credits), and policy tools, applied (and sometimes misapplied) in India and globally. The goal is not to memorise metrics but to understand what they reveal and what they hide.

Evolution of Sustainability Measurement Tools

Measurement tools did not arrive all at once. Over the last 50 years, frameworks, tools, and indicators were created by governments, scientists, companies, and activists — each capturing a piece of the puzzle. Below is a decade-wise chronology.

1970s: Early Warning & Environmental Impact

• Club of Rome report Limits to Growth (1972) warned that economic growth without environmental limits would lead to collapse.
• First Environmental Impact Assessments (EIA) introduced — not global tools, but started to measure harm.
• US National Environmental Protection Act (NEPA) made EIA mandatory for major federal projects, setting a precedent for integrating environmental considerations into development decisions.

1980s: From Environment to Sustainable Development

• World Conservation Strategy (1980) by IUCN, WWF, and UNEP introduced the idea of sustainable development.
• Brundtland Report (1987) mainstreamed sustainable development.
• Natural resource accounting proposed in Norway and the Netherlands → green GDP (environmental accounting).
• Environmental valuation methods developed (e.g., contingent valuation — asking people what they would pay to protect nature).
• Key insight: to develop sustainably, we had to learn to measure trade-offs.

1990s: Institutionalising Sustainability Metrics

• 1992 Rio Earth Summit put sustainability on the global map; Agenda 21 called for indicators of sustainable development.
• Triple Bottom Line (Elkington): firms urged to track people, planet, profit.
• Human Development Index (HDI) launched by UNDP — early composite index covering health, education, income.
• Global Reporting Initiative (GRI) (founded 1997) provided guidelines for corporate environmental and social disclosure; first used in 2000 by 31 companies.
• Ecological Footprint introduced — calculates land/water area a population requires to produce its consumption.
• Result: the first generation of sustainability indicators, many still in use.

2000s: Market-Based & Corporate Metrics

• Kyoto Protocol – Clean Development Mechanism (CDM) allowed industrialised countries to buy carbon credits from developing countries, spurring voluntary carbon markets.
• First instance of voluntary carbon offset: 1988–89 AES corporation partnered with NGO CARE to offset emissions via plantations in Guatemala.
• Lifecycle Assessment (LCA) moved from academia to business — tracking products from cradle to grave.
• Carbon footprint popularised (term appeared in 2000 in BBC Vegetarian Food magazine; later in BP’s 2005 advertising campaign).
• Water footprint (2002, Arjen Hoekstra) — categories: blue water (surface/groundwater), green water (rainwater), grey water (pollution assimilation).
• Corporate sustainability reporting expanded globally, especially Europe and parts of Asia.
• Risk: sustainability became measurable in tons, litres, dollars — but also oversimplified.

2010s: ESG, Integrated Thinking & Professionalisation

• Environmental, Social, Governance (ESG) metrics adopted by banks, pension funds, investors to assess risk.
• Integrated Reporting (IR) — combined financial and non-financial disclosures.
• Sustainable Development Goals (SDGs) adopted in 2015 — 17 goals and 169 indicators.
• In India: SEBI introduced voluntary Business Responsibility Reports (BRR).
• New tools: SASB standards (industry-specific), TCFD (climate risk disclosure), Social Return on Investment (SROI).
• Professionalised sustainability — but raised questions about transparency, comparability, and impact.

2020s: Accountability, Critique & Justice

• Business Responsibility and Sustainability Reporting (BRSR) became mandatory for top 1000 companies in India (2023).
• Carbon markets expanding rapidly — yet communities (e.g., forest carbon projects in Bastar, cookstoves in Karnataka) feel left out or misled.
• Greenwashing concerns exposed by academic critiques and journalism.
• Push for just sustainability metrics — measuring not only outputs but benefit sharing, governance, ethics.
• Emerging technologies: AI, blockchain, earth observation satellites → real-time environmental monitoring.
• Central question: Are we measuring what really matters?

Exam tip: The timeline is a high-yield structure. For each decade, remember at least one landmark tool or event and its significance (e.g., 1990s → triple bottom line and GRI; 2010s → ESG and SDGs). The 2020s critique about justice is increasingly tested.

Real-World Example

• India’s waste mountain — 270 million tonnes fly ash, 36 million tonnes red mud, 130 million tonnes bagasse annually. Steel slag can replace river sand; press mud can produce biogas; waste paper recovery saves water, energy, forests.
• Forest carbon projects in Bastar — communities feel left out or misled (cited as a greenwashing/critique example).
• Cookstoves in Karnataka — similar community impact concerns.
• Down to Earth February cover story on waste and circularity.

Key Takeaways

• Measurement is foundational to sustainability governance; “what gets measured gets managed.”
• Tools evolved from simple environmental impact assessments to complex, multi-dimensional frameworks (LCA, ESG, SDGs).
• The 1990s gave us the triple bottom line, HDI, GRI, and ecological footprint — still widely used.
• Market-based tools (carbon credits, water footprints) emerged in the 2000s but risk oversimplification.
• The 2010s professionalised sustainability (ESG, SDGs) but raised transparency issues.
• The 2020s centre on accountability, justice, and the question: are we measuring what really matters?

The Environmental Kuznets Curve: Hope or Illusion?

The Environmental Kuznets Curve (EKC) proposes that environmental degradation first rises and then falls as a country’s income grows – things get worse before they get better. The idea originates from Simon Kuznets (1950s), who observed a similar inverted‑U relationship between income inequality and economic development. In the 1990s, economists applied the same logic to pollution.

Why it would make sense: Early growth involves rapid industrialisation, urbanisation and infrastructure building, often without strong environmental safeguards. Once a country crosses a certain income threshold (roughly upper‑middle income), citizens demand cleaner air and water, governments enact stricter regulations, and technology improves, causing pollution to decline. The curve implies a natural progression: grow first, clean up later. In a sense, it also suggests that less‑developed countries have a right to pollute during their catch‑up phase.

Reality check – different pollutants, different stories

Exam tip: The EKC does not hold for global, long‑lived pollutants like CO₂. It is most often observed for local, visible pollutants (e.g. SO₂, particulate matter). Be ready to explain why – global externalities are harder to regulate unilaterally.

India’s example (2000‑2020): Mapping GDP per capita against CO₂ (red line) shows a steady rise – no turning point. PM₂.5 (blue line) first rises then declines, suggesting a partial EKC driven by air‑quality regulation. This demonstrates that different pollutants follow different paths.

Critique: the hidden costs

• The EKC does not explain who suffers during the polluting phase. Poor communities, informal workers, rural and tribal populations often bear the health and environmental costs of early‑stage growth.
• Waiting for income to solve environmental problems can mask social and ethical costs. Instead of assuming automatic improvement, policy should decouple growth from pollution from the start.

Key takeaways

• EKC: inverted‑U relationship between income and environmental degradation.
• Works for some local pollutants (SO₂, PM₂.5), fails for global ones (CO₂).
• India shows partial EKC for PM₂.5 (due to regulation), but rising CO₂.
• The curve can legitimise environmental injustice – the poor pay for early growth.
• Active policy design, not passive waiting, is needed to decouple growth from pollution.

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What Do We Measure in Sustainability?

There is no single measure of sustainability. Instead, we use a toolkit of indicators, composite indices, ecosystem services concepts, and payment mechanisms. Each tells a different part of the story.

Indicators – specific, numerical snapshots

• Carbon footprint: Total CO₂ and other greenhouse gases emitted directly or indirectly (e.g., per product, per person, per organisation).
• Water footprint: Total fresh water used to produce goods and services (e.g., 1 kg rice ≈ 2,500 L; 1 kg ragi ≈ 600–1,000 L).
• Ecological footprint: Land and sea area required to sustain a given lifestyle.

Worked numbers:

• A 1‑hour flight emits ≈250 kg CO₂ per passenger – roughly equivalent to driving a car >1,000 km. Context matters: if the same flight replaces a car ride for five people, the per‑person impact may be lower.
• A company’s direct emissions may appear low, but if it outsources production, the carbon footprint shifts elsewhere.

Indicators give clear, trackable numbers but not the full picture – they miss system boundaries and distributional effects.

Composite Indices – one number from many

A composite index combines multiple indicators into a single rank or score. Examples:

• Happy Planet Index (hpi.org): India ranks low (“battle side”). The US lags behind other G7 nations due to high ecological footprint. Data for 2021 shows a slide (post‑pandemic effect). India’s HDI is below global average, but its ecological footprint per capita is low – raising the question: is that sustainable living or poverty/under‑consumption?
• Green GDP gained momentum in the early 2000s (e.g., China) but faces data limitations, valuation controversies and political sensitivities.

Indices force thinking beyond money, but they can mask inequality and local realities.

Exam tip: When evaluating any index, ask what it includes, what it omits, and whose perspective it privileges. The Happy Planet Index highlights that high GDP does not guarantee high wellbeing or low environmental impact.

Ecosystem Services – what nature does for us

Ecosystem services are the benefits people obtain from nature, grouped into four types:

1. Provisioning – food, water, timber, fibre
2. Regulating – climate control, flood prevention, air purification (e.g., trees in a neighbourhood)
3. Cultural – recreation, spirituality, heritage
4. Supporting – soil formation, nutrient cycling

A landmark 1997 study estimated the total value of the world’s ecosystem services at $33 trillion per year – nearly double global GDP at that time.

Real example: Mangroves along India’s west coast reduce cyclone damage by acting as a natural buffer. Replacing them with concrete barriers would cost crores of rupees.

These services are often not priced in markets, but they are arguably the most valuable things we have.

Payment for Ecosystem Services (PES)

PES is a market‑based mechanism to compensate those who protect or restore nature. It involves three actors:

• Service provider (e.g., forest community)
• Service user (e.g., city, company, water board)
• Intermediary (government, NGO, private platform)

Case study 1: Mahogany Project in Bastar (MVAPL) – a flawed PES

• Agroforestry on community land using fast‑growing mahogany; farmers promised a share of carbon‑credit revenue.
• Project registered with international registries (e.g., RERA) to sell voluntary carbon credits.
• Investigation (Down To Earth) revealed farmers did not fully understand the carbon component. The company retained most revenue citing expenses and risk; only 12% reached the farmers. The service providers were undercompensated.

Case study 2: Sukhomajri Watershed Project (Haryana) – a successful PES‑like initiative

• Late 1970s–80s; community‑led soil conservation, reforestation, water harvesting in the catchment hills of Chandigarh.
• Drastically reduced sedimentation in Sukhna Lake (Chandigarh’s water supply).
• Government granted villagers exclusive use rights over forest resources (grazing, non‑timber forest products). Not called PES at the time, but the principle was clear: communities provided an ecosystem service and were compensated with legal access and shared benefits.
• Why it worked: locally driven, not dependent on opaque carbon markets. Benefits were tangible and directly negotiated.

Key takeaways

• Indicators (carbon/water/ecological footprint) give precise numbers but miss context and system boundaries.
• Composite indices (HDI, Happy Planet Index, Green GDP) allow cross‑country comparison but can conceal inequality.
• Ecosystem services value nature’s contributions; the $33 trillion/year estimate is a benchmark.
• PES can align incentives, but success depends on transparency, local ownership and fair benefit‑sharing – the Bastar project failed (12% to farmers), Sukhomajri succeeded (community‑led, clear non‑monetary compensation).

Carbon Credits and Offsets – From Theory to India’s Ground Reality

A carbon credit is a certificate representing one ton of CO₂ avoided or removed from the atmosphere. Credits can be bought and sold, letting emitters offset their emissions by supporting reduction projects elsewhere.

Market types

Common project types: renewable energy, reforestation/agroforestry, methane reduction (biogas), improved cookstoves.

Conditions for a project to generate credits

1. Additionality – must go beyond business‑as‑usual.
2. Baseline – counterfactual: what emissions would be without the project.
3. Permanence – stored carbon must not be quickly re‑released.
4. Leakage – emissions must not simply shift elsewhere.
5. MRV – monitoring, reporting, verification.

Projects are certified by international registries (e.g., Verra, Gold Standard) and sold via brokers/platforms.

Global snapshot

• Global voluntary carbon market: ≈ $2\,billion (2021), projected$50–100 billion by 2030.
• Dominated by forestry, cookstoves, biogas, renewables.
• Credit prices range $2-$30/ton; quality and certification often unclear.
• Over 170 countries participate in carbon trading or carbon taxes.

India in carbon markets

• One of the top suppliers of voluntary credits (~1,700 registered projects under Verra/Gold Standard).
• Upcoming Carbon Credit Trading Scheme (CCTS) aims to formalise a domestic market.
• Project types: agroforestry, cookstoves, biogas, alternate wetting and drying (AWD) of rice, wetland restoration.

International cap‑and‑trade comparison

Exam tip: Success of cap‑and‑trade depends on price level, coverage, and enforcement. Low prices and weak enforcement outside the EU often cause markets to fall short.

Critiques and ground realities

• Critics argue offset projects overstate impact, use unverified baselines, and become a license to pollute.
• In 2023, reports revealed ~90% of Verra‑certified forest offsets had no meaningful climate impact; sold to Disney, Shell, Gucci.
• India case studies (Down to Earth):
  • Mahogany project (Bastar): Farmers promised 50% share of carbon revenue, received only 12%. Used default carbon estimates, not real monitoring.
  • Biogas/cookstoves (Madhya Pradesh): Units distributed but many broken or unused; credits still sold.
  • AWD paddy (Telangana): Farmers adopted method but never received payments.
• Result: carbon becomes a commodity controlled by intermediaries, with farmers doing the work but not sharing the profit.

India’s path forward

• CCTS under the Energy Conservation Act (2022). Concerns remain: compliance vs. voluntary, verification, small‑producer access.
• Must design not only for climate but also for equity and justice.

Key takeaways

• Carbon credits represent 1 tCO₂ avoided/removed; traded in compliance or voluntary markets.
• Credits require additionality, baseline, permanence, leakage prevention, MRV.
• Global prices vary widely ($2-$90/ton); low prices weaken effectiveness.
• India is a major supplier but ground‑level case studies show revenue leakage, poor monitoring, and inequitable benefit sharing.
• Critics warn of greenwashing: offsets can delay real emission cuts.

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Corporate Sustainability Metrics and Reporting

Companies report on sustainability due to stakeholder pressure (customers, investors, regulators) and risk management (climate, social unrest, supply chain).

Major reporting frameworks

Example: Indian companies

Problems with corporate sustainability reporting

• Inconsistent ESG ratings – same company gets different scores from different agencies.
• Greenwashing risk – reports used for PR, not real transformation.
• Measurement bias – focus on what is easy to measure, not what matters.
• Impact unclear – reporting does not always lead to emission reductions or equity.

Future directions

• Mandatory disclosures – SEBI (India), EU CSRD.
• Real‑time, tech‑driven data – automation, AI verification.
• Integrated reporting – financial + ESG in one framework.
• Stronger assurance – third‑party verification, possibly AI validation.
• Tying climate targets to financial reporting – green bond disclosures, carbon market registries.

Exam tip: A high ESG score does not guarantee sustainability – it often reflects how well a company discloses risks, not how effectively it reduces harm.

Key takeaways

• Companies report due to stakeholder pressure and risk management.
• GRI, ESG, and BRSR are dominant frameworks, each with different audiences and depth.
• Indian companies like Wipro and ITC show sophisticated reporting, but gaps in verification and supply chain coverage persist.
• Critiques: greenwashing, inconsistent ratings, focus on disclosure over performance.
• Future: mandatory, real‑time, integrated, and assured reporting.

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Credibility, Ratings and Greenwashing

ESG scores (from MSCI, Sustainalytics, Refinitiv, ISS) help investors and regulators evaluate corporate sustainability. However:

• Each agency uses different indicators, weights, and data sources.
• Often rely on self‑reported data, not verifiable audits.
• Scores may reflect disclosure quality rather than actual performance.

Example: Tesla scores high on environment but low on social/governance; ExxonMobil has scored higher on some ESG indices due to strong disclosure systems, not cleaner operations.

Exam tip: ESG is designed to assess risk to the company, not harm done by the company. This mismatch is a central credibility challenge.

Greenwashing tactics

• Highlight minor achievements while hiding larger impacts.
• Use vague language (“eco‑friendly”, “green”).
• Publish glossy reports while continuing harmful practices.
• Use sustainability reporting as a substitute for sustainability performance.

Reforms and pushback

• Some agencies now include impact‑based metrics and supply chain audits.
• Still, the ESG space is often described as a “wild west” – too many standards, too little enforcement.

Key takeaways

• ESG ratings are inconsistent, often measuring disclosure not performance.
• Greenwashing is widespread; tactics include vague language and PR‑focused reports.
• Regulators are tightening standards (EU, India) but enforcement remains weak.
• The goal is to act green, not just look green.

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Recap and Summary

All measurement tools – LCA, ESG, GRI, carbon pricing, indices – rest on the idea that “what gets measured gets managed.” A recurring tension is that what is measured is often what is convenient, not what is important.

Themes and tensions

Dilemma: Should we measure more things, or measure better?

What sustainability measurement should do

• Reflect real‑world impact.
• Be transparent and verifiable.
• Include local and ecological justice.
• Avoid becoming a checkbox or PR tool.

A quote often attributed to Einstein:

“Not everything that counts can be counted, and not everything that can be counted counts.”

Exam tip: For essays, link this quote to the central critique: numbers alone cannot capture equity, justice, or ecological integrity.

Key takeaways

• Sustainability measurement is as much about power and values as about numbers.
• Current tools often prioritise convenience over importance.
• The field is nascent and evolving – we must ask what is measured, who measures, and what gets left out.
• Real change requires going beyond reporting to verified, equitable, and impact‑focused action.

What is a sustainability transition?

A sustainability transition is a fundamental shift in how a system — energy, transport, agriculture, housing — is organized, managed, and experienced. It goes beyond replacing one product with another; it requires rethinking the system from the ground up, including its technologies, policies, institutions, behaviours, and values.

Definition: A sustainability transition is a long-term, multi-dimensional transformation of a socio-technical system toward more sustainable modes of production and consumption — not just a technical fix.

Example: Cooking in Indian households (40-year shift)

• Path: firewood → kerosene → LPG → electric induction (in some homes).
• What enabled it: not just new stoves; required government subsidies (PM Ujjwala Yojana), distribution networks, affordability, awareness, and behavioural change.
• Shows that a transition involves technology + institutions + culture simultaneously.

Why are sustainability transitions necessary?

The problems we face (climate change, air pollution, water crisis, biodiversity loss) are symptoms of deeper structural issues:

• Fossil fuel dependency
• Unsustainable production and consumption patterns
• Unequal distribution of environmental costs and benefits

Isolated technical fixes cannot solve these. Deep transitions are needed — changes that transform institutions and cultures alongside technologies.

Technology ≠ System change

A technology alone fails without aligned system elements:

• A rooftop solar panel is useless if the grid refuses to buy back power.
• An e-rickshaw fails if battery-charging stations are missing.
• Composting fails if waste is not segregated at source.

Example: Natural farming in Gujarat

• Green Revolution succeeded because new seeds were paired with a public agricultural extension system.
• Agroecology (natural farming) requires community-based knowledge transfer — not just demonstrations, but ongoing support.
• The state promoted natural farming without reforming the extension system → old institutions hinder the new practice.

Comparing system elements across sectors

Key characteristics of sustainability transitions

• Long-term – often 10–50 years (e.g., landlines → smartphones, centralized grids → distributed renewables).
• Contested and uneven – stakeholders disagree on problems, solutions, and who bears costs.
• Multi-actor – governments, citizens, civil society, entrepreneurs all play roles.
• Directed toward a goal – reducing emissions, improving equity, enhancing resilience.

Note on terminology

The field uses sustainability transitions, not "sustainable transitions". The former emphasizes environmental sustainability; "sustainable" in business contexts often refers to financial sustainability. The focus here is ecological and social transformation.

Key takeaways

• A sustainability transition transforms entire systems (technology, institutions, behaviours, values), not just products.
• Success depends on aligning all elements: infrastructure, policies, norms, and incentives.
• Historical example: India’s cooking fuel shift from firewood to LPG required subsidies, distribution, and awareness.
• Technology alone is insufficient; the institutional context must also change.
• Transitions are long-term (decades), contested, and require multi-actor collaboration.

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The Growth of the Field of Sustainability Transitions

Origins: From innovation pipeline to systemic thinking

• Early 1990s: Scholars questioned why some innovations succeed while others fail.
• Traditional pipeline model of innovation: research → development → extension → adoption. It assumes one-directional flow and no feedback.
  • Example of failure: System of Rice Intensification (SRI) originated in Madagascar, but was resisted in India because it did not come from the official research system. The pipeline had no mechanism to accept external ideas.
• Researchers (Arie Rip, Rene Kemp, Netherlands) argued that technologies are embedded in regimes – stable systems with rules, expectations, habits, and power structures.

The Multi-Level Perspective (MLP)

• Frank Geels (2002) published a landmark paper introducing the multi-level perspective (MLP).
• MLP analyses transitions across three levels:
  • Niches – protected spaces where radical innovations develop.
  • Regimes – dominant, stable systems that resist change.
  • Landscape – exogenous forces (climate change, economic shocks, pandemics) that can disrupt regimes.
• (Full MLP framework is covered in a later segment; introduced here as a key concept.)

Disciplinary roots

Sustainability transitions research combines:

• Science and Technology Studies (STS) – technologies are shaped by society, not autonomous.
• Evolutionary economics – habits and routines create lock-in.
• Environmental policy – how institutions adapt (or fail to).
• Innovation studies – scaling and diffusion of new ideas.

Global networks and growth

• 2010: Sustainability Transitions Research Network (SDRN) formed. It brings together >3000 scholars (concentrated in Europe), publishes a transitions research agenda, organizes annual conferences, and launched the journal Environmental Innovation and Societal Transitions in 2011.
• NEST (Newcomers to Sustainability Transitions Network) supports early-career researchers, especially from the Global South, and raises questions about power, colonial legacies, and whose knowledge counts.
• Both networks have globalized the field, originally a European niche.

India’s participation – low but growing

• Of >4000 peer-reviewed articles on sustainability transitions, contributions from and about India are very low, especially in agriculture and rural livelihoods.
• In 2023, IRMA and IIT Delhi hosted the International Conference on Managing Sustainability Transitions in Agriculture at Anand.
• There is a clear need for India-specific perspectives and more Indian researchers in this interdisciplinary field.

Example from the field: Oslo conference (2024)

• 500+ scholars; very few Indians.
• Conference practices reflected sustainability values:
  • No non-vegetarian food served.
  • University of Oslo runs a student-driven green office, mapping and reducing campus carbon footprint.
  • Suppliers met unprecedented sustainability criteria.
• IIM Bangalore has also begun mapping campus emissions.

Why this field matters for India

India is already living through transitions (500 GW non-fossil energy target, agroecology in Gujarat, clean mobility in Kochi/Bengaluru). But these are uneven, contested, and sometimes captured by elites. Sustainability transitions research provides:

• Concepts to understand why systems resist change.
• Tools to spot transition windows (opportunities for innovation).
• Frameworks to design better experiments and policies.
• Support for actors at multiple levels – from local innovators to national planners.

Key takeaways

• The field emerged in the 1990s from critiques of the linear innovation pipeline; SRI is a classic case of systemic resistance.
• The Multi-Level Perspective (Geels, 2002) is a foundational framework: niches, regimes, landscape.
• Sustainability transitions is interdisciplinary: STS, evolutionary economics, policy, innovation studies.
• Global networks (SDRN, NEST) have expanded the field, but Indian research contributions remain sparse.
• The field provides actionable tools for understanding and guiding real-world transitions in India’s energy, food, and mobility systems.

Understanding the Multi-Level Perspective (MLP)

The Multi-Level Perspective (MLP) is a framework to explain how sustainability transitions unfold through interactions across three analytical levels: niche, regime, and landscape. It addresses why deep‑entrenched systems (energy, food, mobility) resist change and how innovation can eventually reshape them.

The three levels

Transitions are like a stage play: niches at the bottom experiment, the regime in the middle holds stability, and landscape forces at the top exert pressure.

How transition happens

1. Landscape pressures (e.g., climate change, fuel shortages) destabilise the existing regime.
2. Simultaneously, niche innovations mature and become ready for wider adoption.
3. As these dynamics interact, the regime “opens up” and new practices scale from niche to regime.

Common pattern: Early experimentation and protection (e.g., incubators) → regime destabilisation (market shifts, external events) → diffusion and mainstreaming → institutionalisation into a new normal.

Transitions are not guaranteed – they can be blocked by powerful regime actors, lack of finance, policy inertia, or weak public support.

Worked example: Germany’s Energiewende

• Niche (1990s–2000s): Small communities and activists experiment with solar and wind energy.
• Landscape pressure: Rising public concern about nuclear risk and climate change.
• Regime shift: Enabled by feed‑in tariffs, public investment, and policy support → renewables became a major part of the energy system.

Applying MLP to India

• Niche: Solar microgrids in Jharkhand/Rajasthan.
• Regime: Dominant coal‑based centralised power.
• Landscape: Climate commitments, energy security, health concerns.

What the MLP helps us see

• Why transitions are slow or stuck.
• Where innovation might arise.
• The roles of diverse actors (policymakers, businesses, citizens).
• When acceleration or blockage occurs.

Exam tip: The MLP is a heuristic tool – it helps observe and reflect, not predict perfectly. It is not a recipe.

Limits of MLP

• Developed mostly in the Global North; may not fully capture power struggles, justice concerns, or local informal practices.
• Newer work (from India, South Africa, etc.) brings in equity, decolonisation, and knowledge politics.

Key takeaways

• Three levels: niche (innovation), regime (dominant system), landscape (external pressures).
• Transitions occur when landscape destabilises the regime and mature niches break through.
• Transitions are nonlinear and can be blocked.
• MLP is an analytical lens, not a predictive model.

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Why Transitions Go Beyond Technology

Technological change is necessary but not sufficient. Systems are more than tools; they are sociotechnical systems comprising:

• Technology itself – solar panel, electric bus, composting unit.
• Infrastructure – transmission lines, roads, charging points, segregation systems.
• Institutions & policies – subsidies, standards, laws.
• User habits & cultural meanings – how people engage with the technology.

Technological lock-in and path dependence

• Existing systems benefit from scale, sunk investments, and institutional support.
• Roads designed for cars, education systems train engineers for fossil fuels, agricultural research supports Green Revolution methods.
• Path dependence makes it easier to continue on the old path than switch to a new one, even when better alternatives exist.

Examples

Rooftop solar in India

• Technology is clean and affordable.
• Blockers: Lack of net‑metering policies, distribution companies (discoms) fear revenue loss, user uncertainty about service quality.

Agroecology (e.g., System of Rice Intensification – SRI, natural farming)

• Reduces input costs and water use.
• Blockers: Entrenched subsidies for chemical fertilisers, research bias, market channels favour conventional agriculture.

Social & political dimensions

• Framing transitions as purely technical ignores who benefits and who bears the cost.
  • Will rooftop solar work for tenants or only homeowners?
  • Are women included in clean cooking programs?
  • Are marginal farmers supported when markets shift?
• Transitions must be inclusive – otherwise they risk deepening existing inequalities.
• Just transitions integrate equity, participation, and fairness as core design principles, not add‑ons.

Key takeaways

• Sociotechnical systems = technology + infrastructure + institutions + user practices.
• Lock‑in and path dependence slow change even when better tech exists.
• Transitions fail without addressing power, vested interests, and social equity.
• Just transitions centre fairness and participation.

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Transition Governance and Networks

Transitions are not machines you can control – they are emergent, contested, and involve many actors. Governance here means coordination and facilitation across actors, not command‑and‑control.

Why central management fails

• Shove & Walker: “Transitions cannot be managed in the conventional sense.”
• Actors have different values, capacities, interests – they often disagree on what “sustainability” means or how fast to move.
• Governance becomes about creating shared visions, enabling spaces for experimentation, building trust, and scaling networks.

Actors in transition governance

• Government agencies (national & local)
• Private companies & investors
• Civil society groups, NGOs, activists
• Researchers & scientists
• Citizens & international networks

Network governance in practice: The SRI case in India

The System of Rice Intensification (SRI) spread not via top‑down policy but through a distributed network of actors:

• Innovative farmers testing SRI on small plots.
• Civil society organisations (PRADAN, Wassan) training farmers, documenting outcomes.
• Agricultural scientists from state universities and ICAR.
• Sympathetic government officials creating room for pilots and extension integration.
• Global knowledge infrastructure – Norman Uphoff and Cornell University maintained a free public repository of SRI knowledge online, enabling actors worldwide to adapt it.

Evolution of SRI as a network‑driven transition

Key insight: Governance meant enabling spaces, building trust, sharing knowledge, and allowing diverse pathways – not directing change.

Tensions in transition governance

Governance is about power – who decides what gets funded, which voices matter, what the future should look like. Without care, transitions become technocratic, excluding lived experience.

Exam tip: The SRI example is a classic case of network governance in sustainability transitions. Emphasise that no single actor directed the process – it was distributed learning, trust, and policy engagement.

Key takeaways

• Transitions cannot be centrally managed; governance is coordination and facilitation.
• Networks of diverse actors (farmers, NGOs, scientists, officials) are often the real engines of change.
• The SRI case shows how distributed innovation infrastructure (open knowledge, learning alliances) enables scaling.
• Transition governance must be reflexive – constantly questioning who is at the table and whose knowledge counts.

India's Energy Transition – Ambition, Reality, and Complexity

India has set one of the world’s most ambitious clean-energy targets: 500 GW of non-fossil energy capacity by 2030, from solar, wind, hydro, nuclear, and biomass. The target signals global climate leadership, energy security, and development goals — but the path is riddled with structural barriers.

Targets and current status

As of 2023, only ~180 GW of the target had been commissioned. More than 34.5 GW of announced projects (some from 2017–18) remain unbuilt due to clearance delays and financial closure issues.

Mismatch: installed capacity vs. generation

Installed capacity is shifting toward renewables, but generation is still dominated by coal. The gap persists because solar generates mostly during daylight, while peak demand occurs in the evening. Coal plants run round‑the‑clock. Projections show coal’s share decreasing but not by enough.

Five major challenges

1. Financial stress of distribution companies (DISCOMs) – Losses make them reluctant to buy variable renewable energy due to cost volatility and grid‑imbalance risk. This delays power‑purchase agreements and discourages developers.
2. Inadequate storage and round‑the‑clock (RTC) solutions – Affordable storage is not yet viable. Solar meets day‑time demand but cannot cover evening peaks without storage.
3. Uncertain policy signals and delays – Changing tender norms, slow approvals, and poor central‑state alignment create bottlenecks.
4. Land and community opposition – Large solar/wind parks face conflicts over land acquisition and ecological concerns.
5. Underutilised government schemes – PM Surya Ghar, PM KUSUM, and the PLI scheme for solar manufacturing have started but uptake is uneven and often urban/elite‑centric.

Exam tip: The five challenges illustrate that energy transitions are not only technological — finance, policy coordination, land rights, and equity are equally decisive.

What this teaches us about transitions

Transitions are messy, non‑linear, and shaped by multiple actors. Even with clear direction (500 GW), the pathway is bumpy because systems (policy, infrastructure, finance, state capacity, user trust) must align simultaneously.

Pathway plurality – There is no single path to sustainability. Different actors hold different visions (green growth vs. equity vs. ecological repair). Governance must be open to learning, contestation, and diversity — not just efficiency.

Just transitions – Transitions can exclude vulnerable groups:

• Rooftop solar bypasses tenants.
• Induction cooktops may not reach low‑income households.
• E‑buses may not serve rural areas.
• Agroecology projects stay pilot‑scale if institutions don’t shift.

A just transition asks: Who is included? Who sets the direction? Who bears the cost? Who reaps the benefit?

Your role in shaping transitions

Transitions are not reserved for policymakers or CEOs. Students, citizens, entrepreneurs, and researchers can:

• Support local renewable projects.
• Document indigenous farming practices.
• Question greenwashing.
• Work with startups or NGOs.
• Raise critical questions in public forums.

Reflection exercise: Pick a sustainability challenge near you (e.g., air pollution, waste, mobility, water). Identify who is involved, what is changing, what is being resisted, and who is resisting. Map a possible transition.

Quick recap of the module (context from this segment)

• Sustainability transitions = systemic, long‑term, directional change toward just and sustainable futures.
• Multi‑level perspective: niches, regimes, landscapes.
• Governance needs coordination, learning, trust — not control.
• Networks (e.g., SRI movement) scale change through collaboration.
• India’s energy transition shows that ambitious targets alone do not guarantee smooth pathways.
• Transitions are plural, political, and must be just.

Key takeaways

• India’s 500 GW non‑fossil target is massive; only ~180 GW commissioned by 2023.
• Generation still dominated by coal; storage and RTC solutions are critical gaps.
• Five obstacles: DISCOM finances, storage, policy delays, land conflicts, scheme underutilisation.
• Transitions are not linear; they require alignment of multiple systems and actors.
• Pathway plurality and just transitions are essential for inclusive outcomes.
• Individuals at all levels can actively shape transitions through local action and critical engagement.