The induced innovation hypothesis and its applicability to the high rainfall zone of the Australian sheep industry
Abstract
The subject of this thesis is the Induced Innovation Hypothesis
in which it is proposed that the direction (or bias) of technical change
is determined by changes in relative factor (input) prices acting as a
"spur to invention" (Hicks, 1932, p.124). In addition to reviewing
important theoretical developments in this hypothesis, a test of induced
innovation was conducted on data for the High Rainfall Zone of the
Australian sheep industry over the period 1952/53 to 1976/77.
Estimates of biased technical change for five recognized
categories of inputs - labour, capital, materials and services, livestock
and land - were obtained using the translog cost function model proposed
by Binswanger (1974a,b) and adapted by McKay et al. (1980). This model
also permitted estimates of the elasticities of factor substitution and
factor demand. On average, technical change was found to have been biased
towards the saving of labour and land, the using of livestock, and neutral
in regard to capital (and possibly materials and services). From the ranking test of induced innovation conducted it was
found that all inputs, with the exception of capital, were in general
conformity with the predictions of the Induced Innovation Hypothesis.
Despite a substantial increase in the relative price of capital, neutral
technical change for this input was evident. It was concluded that whilst
the majority of technical change biases evident could be explained in
terms of induced innovation, the result for capital called into question
the general applicability of this hypothesis. Explanations other than
changing relative input prices were required to explain the neutral
technical change evident for the capital input. The test conducted was considered a rather "blunt instrument"
for the purpose, encountering problems categorized as conceptual,
methodological and estimational. Further work was considered necessary
to confirm the above results. In addition to extending the above study,
it was considered that micro-level studies investigating the factors
influencing the decision-maker in his choice of technology were required.
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