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mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Non-controllable and non-commercial resources in agricultural production models
  name:
    name part: Stroud, Janice Mary.
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: xx
    date issued: 1996
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: x, 132 leaves : illustrations ; 28 cm.
  abstract: This dissertation considers resources which affect or are
  abstract: affected by agricultural production processes, but which are
  abstract: not usually included in agricultural economic models. The
  abstract: second chapter considers the impact of rainfall on the mean
  abstract: and variability of yield, and the implications of these
  abstract: effects for agricultural household decisions. Using
  abstract: household-level data, the empirical study employs production
  abstract: function estimates to determine household risk preference
  abstract: characteristics under nonlinear mean-variance utility. The
  abstract: results indicate that rainfall accounts for a considerable
  abstract: portion of risk otherwise attributed to household inputs.
  abstract: When risk and production parameters are estimated jointly,
  abstract: the model supports decreasing absolute and increasing
  abstract: relative risk aversion. The results also suggest potential
  abstract: returns to low-cost forms of irrigation to mitigate growing
  abstract: season rainfall shortages. The third chapter utilizes the
  abstract: same household data set to explore a method for jointly
  abstract: estimating production function and distribution parameters
  abstract: for beta-distributed yields. Using agricultural household
  abstract: input and yield data from the Indian semi-arid tropics,
  abstract: parameters for the conditional beta distribution for crop
  abstract: yields are estimated. Results indicate a peaked, positively-
  abstract: skewed density function. The proposed method requires fewer
  abstract: coefficient estimates and has a higher explanatory power than
  abstract: approaches previously suggested. Predicted yield
  abstract: distributions for various farm sizes suggest that mean yields
  abstract: are inversely related to size and labor households have
  abstract: considerably lower mean yield and higher variance than farm
  abstract: households. The fourth chapter addresses the problem of
  abstract: interactions between commercially harvested and non-
  abstract: commercial resources, focusing on issues of long term
  abstract: resource management. Survival of a non-harvested resource
  abstract: may depend upon stocks of a commecially harvested resource,
  abstract: but play no economic role in determining optimal harvests.
  abstract: This chapter exan-tines the two-resource system in an optimal
  abstract: control framework, and introduces the concept of minimum
  abstract: viable population. By including in the system a penalty
  abstract: based on the non-harvested resource stock, that resource
  abstract: becomes integral to the equilibrium steady state harvest.
  abstract: Time paths to the steady state may have instantaneous, short-
  abstract: , and long-term phases with different directions of movement,
  abstract: suggesting caution in implementing policy based on short term
  abstract: trends.
  note: by Janice Mary Stroud.
  note: Vita.
  note: "Major Subject: Agricultural Economics".
  note: Issued also on microfiche from University Microfilms Inc.
  note: Includes bibliographical references: pages 101-105.
  note: Ph. D. Texas A&M University 1996.
  subject:
    topic: Major agricultural economics
  identifier: 97-18464 UMI
  identifier: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  record info:
    record content source: TXA
    record creation date: 970808
    record change date: 20190325093322.0
    record identifier: in00001362984