Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Harry Bloch F inancial assistance from ARC Discovery Grant.

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Presentation transcript:

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Harry Bloch F inancial assistance from ARC Discovery Grant is gratefully acknowledged Technical Change in Australian Manufacturing 20 November 2012

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Outline  Modelling Technical Change  Empirical Results – Rates of Technical Change  Empirical Results – Investment and Labour Productivity  Conclusions  Interpretation  Policy Implications

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Modelling Technical Change  Vintage-capital models Output depends on the time at which capital is installed Newer equipment more productive, but not necessarily in all dimensions  Leontief technology Fixed factor proportions Q = aL’, K’ ≥ Q/b, M’ ≥ Q/c  Factor-augmenting technical change L’ = Le αt, K’ = Ke βt,M’ = Me γt

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Modelling Technical Change  Leontief cost function unit cost = aw’ + br’ + cm’  Factor augmentation and costs w’ = we -αt, r’ = re - βt. m’ = me - γt  Using price data Price = (1 + net margin) * (unit cost) Net margin depends on market demand and oligopoly conjectures

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Empirical Results – Rates of Technical Change  Data for 38 Australian manufacturing industries (3-digit)  Cover through (32 years)  Estimate separate price equation for each industry  The hypothesis of price = unit cost is rejected in only four industries

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Empirical Results – Rates of Technical Change  Technical change is significantly labour saving in all industries Average = 2.9% pa  Variation in material saving across industries Average = 0.3% pa  Wide variation in capital saving across industries Average = -4.5% pa (capital using)  Overall cost savings found in 2/3 of industries Average = 0.5% pa (as share of total cost)

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Empirical Results – Investment and Labour Productivity  Salter (1965) Examines effect of capital-embodied technical change as modelled above on labour productivity Finds labour productivity rises with investment in new capital equipment Implies that average labour productivity falls with average age of equipment (holding technical change constant)

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Empirical Results – Investment and Labour Productivity  Bloch, Courvisanos and Mangano (2011) extend the Salter model to examine implications for optimal obsolescence Obsolescence quicker with higher labour saving in technical change Implies higher gross investment share when greater labour saving, given output growth rate Find significant positive relationship between proxy for rate of labour saving (past labour productivity growth rate, average 1968 to 1999) and investment share ( ) across 36 industries

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Conclusions  Technical change is labour saving and capital using in Australian manufacturing  There is a positive impact of past labour productivity growth on gross investment share

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Interpretation  Results are consistent with model in which technical change is embodied in capital equipment  Suggests rising labour saving results from product development by equipment suppliers Driven by buyers desire to economise on increasingly expensive labour  Interpretation is contrary to a model of input substitution driven by relative input prices and has different implications

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Policy Implications  Productivity growth Labour productivity rises with investment in new equipment (albeit, with an installation lag) Labour productivity is counter cyclical (falls with capacity utilisation) Labour productivity falls with equipment age (not necessarily plant age) Testing these propositions in manufacturing complicated by imperfect competition (unexploited scale economies, inflexible work rules)

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J Policy Implications  International competitiveness Can’t compete with low-wage countries unless have special access to equipment or markets Exacerbated by inflexible work rules impeding effective use of new equipment

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J THANK YOU COMMENTS AND QUESTIONS

Curtin University is a trademark of Curtin University of Technology CRICOS Provider Code 00301J References  Harry Bloch (2010), Technological Change in Australian Manufacturing, Australian Economic Review, 43:1, 28–38  Harry Bloch, Jerry Courvisanos & Maria Mangano (2011), The Impact of Technical Change and Profit on Investment in Australian Manufacturing, Review of Political Economy, 23:3,  Harry Bloch and Garry Madden (1995), Productivity Growth in Australian Manufacturing: A Vintage Capital Model, International Journal of Manpower, 16:1, 21-30