Builds directly on prior discussion of public goods (e.g., greenhouse-gas mitigation).
Shifts focus from public goods (non-excludable, non-rivalrous) to common resources (non-excludable but rivalrous).
Definition: Goods that anyone can theoretically access, yet each unit consumed diminishes what remains for others.
Non-excludable ➔ hard to keep users out.
Rivalrous ➔ one user’s extraction lowers availability for the next.
Canonical incentive: “Use it before others do.”
Leads to overuse because individual payoff from extra use exceeds individual share of future loss.
Outcome: Tragedy of the Commons
Open access + rivalrous consumption = depletion or outright destruction of the resource.
Users recognize:
If I restrain, others may not ➔ I lose relative gain.
If everyone thinks that way, aggregate extraction skyrockets.
Resource degradation is externalized; costs are diffused among all users, benefits captured by each extractor.
End state can be complete collapse of the resource (e.g., barren pasture, fishery collapse).
Roommates’ shared space
Everyone can dump items; clutter reduces usable space until none remains.
Shared pasture (original Hardin example)
Each herder adds livestock because marginal private benefit > marginal private cost ⇒ over-grazing.
Transform resource toward a private good or regulated common:
Licensing systems (e.g., fishing permits).
Quotas/total allowable catch; fines for violations.
Declaration of protected areas: complete exclusion of extractive use.
Usage fees to internalize externality.
Direct state ownership & management.
Governments possess coercive power (legislation, enforcement) within borders, making these fixes feasible.
Local users often craft informal norms/rules when government is absent or weak.
Shared understanding of extraction limits, rotational grazing, seasonal closures, etc.
Incentive to cooperate arises because the same group bears both costs and benefits.
Empirical examples: small-scale fishing villages, irrigation associations, apartment cleaning rotas.
No world government to impose binding rules or penalties.
States are economic competitors; benefits of over-extraction accrue domestically while costs are partially global.
Domestic political pressures (industry lobbies, consumers) resist restrictions that appear to disadvantage national firms.
Collective action must emerge via voluntary cooperation (treaties, soft law) rather than unilateral coercion.
High-seas fisheries = textbook common resource: non-excludable (no sovereign territory) & rivalrous (finite fish stocks).
Observed trend: Significant decline in many wild fish populations; dire media predictions of total collapse.
Domestic driver: National fishing industries lobby for minimal regulation to maximize catch.
World Trade Organization (WTO)
Uses trade-policy lever: restricts/negotiates limits on fisheries subsidies that lower operating costs and encourage over-capacity.
Idea: Removing subsidies raises private cost of distant-water fishing → reduces pressure on stocks.
United Nations (UN)
Initiated high-seas biodiversity treaty negotiations ≈ 5-year process culminating in 2023 agreement.
Aims: Establish marine protected areas, share benefits of marine genetic resources, mandate environmental impact assessments.
Limitations: Implementation still depends on national ratification, funding, and enforcement capacity.
Environmental challenges often revolve around goods that are non-excludable (public goods or common resources).
For both categories, individual (or national) incentives skew toward under-provision (public goods) or over-exploitation (common resources).
International politics compounds the problem:
Decentralized system, sovereignty norm, competitive interests.
Absence of automatic enforcement → reliance on negotiation, reputation, reciprocity.
Subsequent lectures will examine:
How treaty design (monitoring, side payments, flexibility mechanisms) can alter incentives.
Role of international organizations (e.g., UNEP, FAO) in facilitating compliance and data gathering.
Interaction with domestic politics: leaders balance global commitments vs. internal constituencies.
Central question: How can we engineer institutions and incentives so that states voluntarily move from tragedy toward sustainable governance of shared environmental resources?
International Environmental Agreement Negotiation Factors
Builds on earlier lectures examining international cooperation problems.
Focus: factors that enable or hinder negotiation and membership in International Environmental Agreements (IEAs), a.k.a. Multilateral Environmental Agreements (MEAs).
Central question: How do states overcome collective-action problems & the tragedy of the commons to manage transboundary environmental issues?
International Environmental Agreement (IEA) / Multilateral Environmental Agreement (MEA)
Formal, negotiated treaty among \ge 3 states to address a cross-border environmental problem.
Bilateral Environmental Agreements: only two parties; mentioned but not central today.
Collective-Action Problem
Situation where individual states have incentives to free-ride on others’ efforts, producing under-provision of a public good (clean environment).
Tragedy of the Commons
Over-exploitation of shared resources when property rights & monitoring are weak.
Not every environmental issue receives a treaty.
Wide dispersion in:
Topics covered (species, pollution, climate, water, etc.).
Number & identity of signatories.
Depth/strength of commitments & enforcement.
Research goal: explain when negotiations start, why they succeed/fail, and which countries join.
Visibility
Highly visible degradation (smog, oil spills) → easier to mobilize domestic & international pressure → more likely treaty initiation.
Example offered: urban haze that is literally seen by citizens.
Crisis / Disaster Triggers
Acute events (chemical spills, river fires) galvanize public & political will.
Science-based evidence accumulation
As data mount, perceptions of urgency ↑.
Agreement on Underlying Goal / Problem Definition
Upstream vs. downstream river users illustrate divergent perceptions.
If states disagree on whether a problem exists → negotiations stall.
Similarity of Stakes
Unequal impacts → asymmetry in willingness to act.
Convergence can occur over time as damage becomes widespread or highly documented.
Consensus on Solutions & Burden Sharing
Who should reduce emissions? Who bears costs? Upstream vs. downstream parallels again.
Generates data, forecasts, causal attributions.
Builds epistemic consensus → narrows uncertainty → fosters common diagnosis/solutions.
Limitation: internal scientific disputes can slow action.
U.S., EU, etc. can act as agenda setters; leverage economic & diplomatic carrots/sticks.
E.g., UN system: convene conferences, circulate reports, solidify terminology.
Cannot coerce but can lower transaction costs & increase issue salience.
Allies imitate or pressure one another (both government channels & societal linkages).
Mobilize domestic publics; lobby negotiators.
Partner with IOs to stage meetings, side-events, hearings.
Economic stakeholders lobby for/against agreements depending on cost-benefit calculus.
Existence of countervailing industries (e.g., renewables) can shift alignment over time.
Ideological orientation shapes belief in regulation & multilateralism.
U.S. case: alternating presidential administrations illustrate policy swings.
Justice dimensions: upstream vs. downstream, developed vs. developing world, historical responsibility.
Legitimacy: need inclusive negotiation processes to avoid power imbalances.
Precautionary principle: act amid scientific uncertainty to forestall irreversible damage.
Dataset aggregates all signed MEAs; two visualizations discussed.
Shows time-series escalation then potential plateau/decline.
Useful proxy for overall tempo of environmental treaty-making.
Pre-1960s: majority in species protection.
Post-1960s: rise of pollution-oriented agreements—aligned with visibility narrative (urban smog, acid rain).
New issue domains emerge over decades; older ones fade as solved or deprioritized.
Reinforces earlier material on anarchy, lack of centralized enforcement, & need for institutions.
Concrete case of how issue characteristics interact with international politics to enable cooperation.
Track current negotiations (e.g., plastic pollution treaty, climate COPs) to map theory → practice.
Compare visibility/crisis & interest-alignment hypotheses against ongoing cases (Amazon deforestation, Arctic shipping lanes).
Create matrices listing: issue visibility, stake symmetry, scientific consensus, dominant actors, domestic politics to predict negotiation outcomes.
Collective-action payoff structure: Benefiti<Costi if alone cooperating, but \sumi \text{Benefit}i > \sumi \text{Cost}i collectively.
Treaty growth function (heuristic): IEAt=f(Visibilityt,Crisist,InterestAlignmentt,IOActivationt,DomesticSupportt).
Transformation of industry positions over time.
Enforcement & compliance mechanisms post-signature.
Quantitative modeling of ratification and effectiveness.