Lecture 1: Introduction to the political economy of natural resources Lecture 2: Theories of collective action, cooperation, and common property



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Property Rights and Collective Action in Natural Resources with Application to Mexico

  • Lecture 1: Introduction to the political economy of natural resources

  • Lecture 2: Theories of collective action, cooperation, and common property

  • Lecture 3: Principal-agent analysis and institutional organization

  • Lecture 4: Incomplete contracts with application to Mexico

  • Lecture 5: A political economy model

  • Lecture 6: Power and the distribution of benefits with application to Mexico

  • Lecture 7: Problems with empirical measurement with application to Mexico

  • Lecture 8: Beyond economics: An interdisciplinary perspective


Why property rights important

  • Allow markets to function

  • Increase incentives to invest

  • If transaction costs = 0, fully defining property rights gets us to an efficient outcome



Transaction costs

  • If transaction costs > 0, asset ownership confers power

  • Transaction costs of an exchange:

    • Negotiating the agreement
    • Writing a contract
    • Observing/monitoring the agreement
    • Enforcing agreement of contract is broken


What is a property right?

  • Residual rights of control

  • Ability to specify unspecified uses

  • Ability to alienate others from use of the property

  • Who owns what determines efficiency if transaction costs > 0

  • Incomplete contract (IC) theory: concerned with the most efficient allocation of property rights.



What is an incomplete contract?

  • Transaction costs make contracts incomplete

  • Bounded rationality:

    • Background assumption to incomplete contracts.
    • Cannot think through all branches of a decision tree.
    • Cannot represent everything in a contract.
    • E.g. complicated bilateral relations.
  • People deal with this bounded rationality in a substantively rational way.



Incomplete Contract Theory

  • Grossman and Hart (1986)

  • Hart and Moore (1990)

  • Hart (1995)

  • Different than Williamsonian transaction costs analysis

  • Allows renegotiation



Model

  • 2 parties: i = A and B

  • Each party may be an “expert” to work with some physical asset KA and KB respectively

  • Both parties A and B can expend investments (a and b, respectively) in human capital

  • These investments are nonverifiable

  • Other party cannot buy this capital



Timeline of Production Relationship



Model Notation

  • Let K = {KA, KB}

  • Ki is set of asset owned by i

  • Denote KA  KB = K

  • Denote KA  KB = 



Default payoffs

  • Individual payoffs if do NOT work together:

  • VA[KA, a, 0]  VA[KA,a]

  • VB[KB, 0, b]  VB[KB,b]



Payoffs with Trade

  • Total payoffs if work together:

  • V[K, a, b]

  • Payoff to us: less notation!



Physical Asset versus Human Capital (or Relationship) Specificity

  • Investment ai party i is:

  • Nonspecific when the marginal return does not depend on Kj nor aj

  • Purely relationship specific when the marginal return is 0 unless parties work together

  • Relationship specific when the marginal return positively depends on access to aj

  • Purely asset specific if the marginal return depends (only) on party i’s access to Kj



Basic Assumptions

  • V[K, a, b] > VA[KA,a] + VB[KB,b]  Ki

    • GAINS TO TRADE: it is efficient to work together
    • Let ai = {a if i=A, b if i=B}
  • Vai [.]  Viai [ K, ai]  Viai [ Ki, ai]  Vai [Kj, ai]  Vai [, ai]

    • Marginal returns from investments are weakly larger the more human and physical capital a party has access to, i.e. relationship specificity exists.


Asset complementarity

  • An asset is complementary when:

  • Viai [K, ai] > Viai [Ki, ai]

  • (access to both assets K makes you more productive)

  • An asset is strictly complementary when:

  • Viai [Ki, ai] goes to 0

  • (you need access to Kj as well)

  • An asset is independent when:

  • Viai [K, ai] = Viai [Ki, ai]

  • (one asset suffices for your productivity)



Equilibrium analysis

  • Backwards induction: start with Date 2

  • Date 2: Investments a and b are “sunk”

  • Since V(.) > VA (.) + VB(.)  a,b,Ki, then parties will agree on “working together” but choose investments noncooperatively  ex post efficiency

  • Division of joint surplus V(.): Nash bargaining solution

  • Party i obtains:

    • Default payoff: Vi[Ki , ai]
    • Fraction i  [0,1] of “excess surplus”:
  • V = V(.) - VA (.) - VB(.)



Who should own what?

  • Compare investments levels under various ownership configurations and contracting conditions (e.g. specificity, complementarity, cooperative v. noncooperative investments)

  • The configuration yielding highest total surplus (both A and B’s payoffs combined) is most efficient given the conditions.



A owns KA and KB: Integration

  • UIA = VA[K, a] + A[V[K,a,b] - VA[KA,a] -VB[,b] ] - a

  • UIB = VB[0, b] + (1-A)[V[K,a,b] - VA[KA,a] -VB[,b] ] – b

  • FOCs:

  • A: (1- A) VAa [ K, a] + A Va [ K, a, b] = 1  aI

  • B: A VBb [,b] + (1- A) Vb [ K, a, b] = 1 bI



A owns KA, B owns KB: Nonintegration

  • UNIA = VA[KA, a] + A[V[K,a,b] - VA[KA,a] -VB[KB,b] ] - a

  • UNIB = VB[KB, b] + (1-A)[V[K,a,b] - VA[KA,a] -VB[KB,b] ] – b

  • FOCs:

  • A: (1- A) VAa [KA, a] + A Va [ K, a, b] = 1  aNI

  • B: A VBb [KB,b] + (1- A) Vb [ K, a, b] = 1 bNI



First-Best Efficient Outcomes

  • Parties “work together” and choose investments cooperatively  first-best outcome

  • Investment levels are:

  • [a*, b*] = argmaxa,b V{K,a,b] – a – b

  • FOCs: Va = 1 ; Vb = 1

  • Simple!



First Result

  • Under any ownership structure (i.e. integration or nonintegration) there is underinvestment in relationship-specific investments (Hart 1995), that is:

  • a* > aI or aNI

  • and

  • b* > bNI or bI



Marginal productivity of investments



Other Results

  • If investments by one party are inelastic, then integration by the other party is optimal

  • If assets are independent, then nonintegration is optimal

  • If assets are complementary, then some form of integration is desirable.

  • If one party’s HK is essential, then integration by that party is optimal

  • If both parties’ HK are essential, then all ownership types are equally optimal.



Critique of Incomplete Contracts

  • Maskin and Tirole (1999):

    • Agents have bounded rationality but deal with noncontractibility in a rational way
    • does BR constrain set of feasible contracting outcomes relative to complete contracts?
    • Counter-theorem: Nondescribability is irrelevant under certain conditions
  • Segal and Hart: as number of possible states of world increase, null (incomplete) contract is optimal.



Application to Mexico Community Forestry Production

  • What explains the vertical integration pattern across Mexican communities with forest?

  • Apply and extend incomplete contract model

  • Assume two parties:

    • A = community
    • B = downstream firm/buyer
  • Assets:

    • Forest land, extraction equipment, milling and processing equipment.


Assets and investments: Forest management



Assets and investments: Extraction



Assets and investments: Milling



Assets and investments: Secondary processing



Examples of Unforeseeables

  • Rainy season

  • Access problems

  • Equipment failure

  • Scheduling problems

  • Timber condition

  • Failure to pay, deliver

  • Un-monitored extraction



An IC Model

  • Survey data from 43 observations in Oaxaca (see Antinori (2000))

  • Ownership possibilities:

    • Assume communities can own forest land and any downstream equipment
    • Assume outside private firms can own any downstream equipment for wood production and can contract with communities for raw material.
  • Tradeoffs: need for specialized expertise and overcoming collective action hurdles v. benefits of ownership (see Antinori and Rausser (2007) for details)



Econometric Model of Vertical Integration

  • Ordered logit (see paper for details)

  • Dependent variable: level of community vertical integration (sale of stumpage, roundwood, lumber of secondary goods)

  • Independent variables:

  • Influences on ability to coordinate, produce:

    • Past mechanical training (+ and significant)
    • Initial logging roads (not significant)
    • Parastatal existence (+ and significant)
  • Contracting costs, valuation:

    • Forested hectares (+ and significant)
    • Forest quality (initial) (+ and significant)
    • Distance to pop center (+ and significant)
    • Non-commercial timber forest uses (not significant)


Conclusions

  • Ownership of assets critical for control over benefits when transaction costs present

  • Limitations of PR approach:

    • Collective decisionmaking still not completely modeled in firm.
    • Beyond property rights as control over assets


Asset Wealth

  • Oliver and Shapiro: Black Wealth/White Wealth:

    • Persistent wealth gap versus income gap in the United States between black and white
    • Limits opportunities


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