THE RETURNS TO INVESTMENT IN RESEARCH ON AUSTRALIAN WOOL PRODUCTION*

A production function approach is used to estimate growth in farm productivity in the Australian wool industry from an estimated level of expenditure on wool production R & D. A market equilibrium model of the wool industry is then used to measure the share of total benefits from this productivity growth accruing to Australia and its wool growers. A net return is estimated after allowing for lags in the development and adoption of technology.     

ON THE GROWTH OF THE AGRICULTURAL FIRM*

Theoretical problems involved in the reconciliation of the assumption of constant returns to scale with determinacy of firm size are discussed with particular reference to Australian farms. Various techniques for examining changes in the size distribution of firms are examined and their use demonstrated. The work is stochastic rather than deterministic. B.A.E. sheep industry survey data is used and flock size is used as the measure of farm size. The results do not suggest that inequality in the distribution of farm sizes is increasing. Growth differs between flock sizes within the same region and for the same flock size between regions. Profitability seems to be relatively larger in the medium flock sizes.     

RISK AND FARM SIZE IN THE PASTORAL ZONE

Variable performance over time is an important feature of wool growing in the eastern pastoral zone of Australia. An analysis of time series data from the Australian Sheep Industry Survey indicates that standard deviation of net farm income is related more or less linearly to size of firm and increases with size at about the same rate as does average net income. A tentative conclusion is drawn that large farms have had a slight tendency to experience less variable rates of return than small farms. However, it is found that farms that have experienced relatively variable returns have tended to enjoy average rates of return above those of other farms of similar size.     

Productivity and farm size in Australian agriculture: reinvestigating the returns to scale

A positive relationship between farm size and farm productivity is often considered to be largely due to increasing returns to scale in farm production. However, using farm‐level data for the Australian broadacre industry, we found that constant or mildly decreasing returns to scale is the more typical scenario. In this study, the marginal returns to various farm inputs are compared across farms with different sizes. We found that large farms achieved higher productivity by changing production technology rather than increasing scale alone. The results highlight the disparity between ‘returns to scale’ and ‘returns to size’ in the industry, suggesting that productivity improvement among smaller farms can be made through increasing their ability to access advanced technologies, rather than simply expanding their scale.     

ECONOMIC EFFECTS OF RESEARCH INTO TRADED GOODS: THE CASE OF AUSTRALIAN WOOL

The final incidence of benefits and costs of wool industry research and development (R&D) undertaken in Australia depends greatly on the nature of the R&D and the way it is funded. Using preferred parameter values, the Australian share of benefits from farm-level R&D is 58 per cent (falling to 40 per cent if there is 50 per cent adoption of the new technology by producers overseas); the Australian shares of benefits from wool-processing R&D ere 24 per cent (topmaking) and 27 per cent (textile-processing). Under current funding arrangements, an Australian wool tax provides about one-eighth of total R&D funds, a matching government grant provides another one-eighth, and other public sector funds make up the remaining three-quarters. Under these arrangements, the final incidence of the costs is 95 per cent on Australians (mostly taxpayers at large), and the wool industry bears only 12.5 per cent of the costs of its R&D. One implication is that a wool tax alone is a more equitable and efficient means of financing wool-industry R&D than the current arrangements.     

Profitability of incremental generic promotion of Australian dairy products

The motivation for this study rests on two factors. First, Australian dairy farmers spend around $20 million annually on generic promotion and estimates of the returns from this expenditure are required to facilitate efficient investment decisions. Second, while the Australian dairy industry has been highly regulated, there has been a substantial reduction in assistance over the past decade and farm‐gate milk prices were deregulated on 1 July 2000. The profit potential of promotion may vary with the degree of regulation, so past estimates of the returns from promotion may not hold in the competitive environment of the future. Hence, the aim of this study is to examine the effects of government intervention on the profitability for dairy farmers of incremental changes in generic dairy promotion expenditure using a perfectly competitive market as a reference point. Competitive market price and quantity outcomes for the Australian dairy industry are estimated. The impacts of increments in dairy product and competing product generic promotion expenditures on dairy farmers’ profits are assessed using equilibrium displacement modelling. Finally, graphical procedures are used to examine the effects of dairy industry regulation on the profitability of dairy promotion.     

WOOL POLICY IN THE UNITED STATES: ITS DIRECT IMPACT ON AUSTRALIAN EXPORTS

Australian apparel wool exports to the United States are less than they might be because of two protective policies of the U.S. government: a fixed tariff and a system of direct price.support payments to U.S. wool producers. Dismantling these policies, though difficult, could mean $10 million to $21 million worth of additional Australian wool sales to the United States, over 1966 levels. Most of the increase would come from tariff cuts. Such amounts are worth negotiating for but would not solve the industry's problems.     

ON THE HIDDEN REVENUE EFFECTS OF WOOL PRICE STABILISATION IN AUSTRALIA: INITIAL RESULTS

A preliminary analysis of demand in eight major OECD wool-consuming countries is used to provide up-to-date estimates of price elasticities of demand for wool. Those elasticities are employed to calculate ex ante market prices, assuming no wool price stabilisation in Australia. The computed ex ante prices are used in a dynamic simulation to estimate demand and, hence, revenue from wool sales to the eight countries in the absence of reserve price operations in Australia. Based on the preferred semi-log demand curve, the variability of wool prices is estimated to have been reduced by 44 per cent, due to Australian intervention in the market up to 1977/78. However, price stabilisation is estimated to have lowered the revenue from Australian wool sales to the eight countries by S139m, or by 2 per cent, in the period up to 1977/78.     

Technology choice and efficiency on Australian dairy farms*

Deregulation of the Australian dairy industry, specifically the removal of price subsidies to ‘market milk’, as well as ongoing drought in many dairy regions, has placed considerable pressure on farm cash income and a search for ways in which dairy farms can be made to operate more efficiently. Using traditional farm survey data and a unique biannual data set on farm technology use, this paper estimates a stochastic production frontier and technical efficiency model for dairy farms in New South Wales and Victoria, determining the relative importance of each input in dairy production, the effects of key technology variables on farm efficiency, and overall farm profiles based on the efficiency rankings of dairy producers. Results show that production exhibits constant returns to scale and although feed concentration and the number of cows milked at peak season matter, the key determinants of differences in dairy farm efficiency are the type of dairy shed used and the proportion of irrigated farm area. Overall farm profiles indicate that those in the ‘high efficiency group’ largely employ either rotary or swing‐over dairy shed technology and have almost three times the proportional amount of land under irrigation.     

Farmer responses to changing risk aversion,enterprise variability and resource endowments

The focus of this article is on assessing how risk aversion, enterprise variability and resource endowments affect farm land‐use decisions and economic returns. A theoretical model of a two‐enterprise, two‐constraint farm is developed, and then, an empirical illustration for an Australian farm is provided. The methodology used builds on previous expected mean‐variance (EV) models by incorporating land and budget constraints. The Kuhn–Tucker conditions of the EV model are examined to highlight that changes in resource endowments have larger effects on economic returns, than do changes in risk aversion or enterprise gross margin variability. It was also found that combinations of enterprise mixes that do not use all available resources can produce higher economic returns, relative to some enterprise mixes that use all available resources.     

Deregulation reforms,resource reallocation and aggregate productivity growth in the Australian dairy industry

Deregulation reforms in the Australian dairy industry had long‐lasting repercussions for Australian agriculture and the wider Australian economy. Using farm‐level data from 1979 to 2013, we investigate the effect of these reforms on productivity in the Australian dairy industry which arose from correcting resource misallocation between farms and across segregated state milk markets. Our results demonstrate that after the dairy reforms in 2000, relative market share shifted from less productive farms to more productive ones, and between farms using different production systems – generating additional productivity gains for the farm sector, but imposing some costs on downstream manufacturers by strengthening the seasonality of milk supply. Lessons from the Australian experience provide timely guidance for those countries exploring deregulation now or in the future to improve the industry‐level agricultural productivity growth through facilitating resource reallocation from less efficient to more efficient farms.     

ESTIMATING SOURCES OF FLUCTUATIONS IN THE AUSTRALIAN WOOL MARKET: AN APPLICATION OF VAR METHODS

Vector autoregression (VAR) methods are used to analyse the contribution of supply, demand and policy shocks to unpredictable fluctuations in the market for Australian wool. VAR procedures are compared with conventional structural econometric models as methods for decomposing sources of instability. While each has advantages and disadvantages, VAR procedures might be viewed as preferable when the underlying market structure is complex and uncertain, as it is in the case of wool. Based on the results obtained, demand shocks are the dominant source of uncertainty in the wool market in the absence of Australian Wool Corporation intervention, but intervention has blunted their effects, reducing market uncertainty and increasing the average level of prices and revenues.     

Who gains from Australian generic wine promotion and R&D?

The present paper estimates the distributions of aggregate returns from different types of research and promotion investments by the Australian grape and wine industry among grapegrowers, winemakers, domestic and foreign consumers, and the tax office. The results show that most of the gains from cost-reducing R&D in grape and wine production go to producers and that producers get a far larger share of the benefit from export promotion than that from domestic promotion. Foreign consumers of Australian wine also enjoy a significant share of the benefits from Australian R&D. Sensitivity analysis shows that the key results hold for a wide range of parameter values.     

When China strikes: Quantifying Australian companies' stock price responses to China's trade restrictions

In early 2020, China, Australia's top export market, unilaterally imposed trade restrictions on Australian barley, beef, coal, cotton, timber, copper and wine. However, convincing evidence regarding the effects of such trade restrictions on firms is scarce. Leveraging data on daily stock returns from 20 listed Australian and 32 listed Chinese firms that produce the restricted commodities, we provide the first systematic analysis of the firm-level economic impacts of China's trade restrictions on Australian and Chinese firms. We find significant adverse effects on Australian firms' stock returns, leading to almost 20% loss within 10 trading days; however, most firms' stock returns immediately rebounded. In contrast, Chinese firms usually saw significant positive stock returns, leading to almost 30% gains, and the positive abnormal returns continuously increased within 10 trading days. Media coverage and trade dependence substantially impact Australian and Chinese firms' stock returns—industries with stronger trade dependence on China saw greater losses in Australian firms' stock returns. Our results suggest that trade reallocation and deflection are two effective mitigation mechanisms for Australian exporters facing China's trade restrictions.     

THE COST-PRICE SQUEEZE ON AUSTRALIAN FARM INCOME

Relative price movements for major agricultural commodity groups are reviewed. Estimates of the movement in real farm income per farmer are presented for Australian agriculture over the period 1949 to 1969, and for the sheep industry for the period 1953 to 1967. Increased productivity has offset the adverse price movements experienced by farmers over the period examined. The effect of the cost-price squeeze on farm investment and adjustment is discussed. The continuing cost-price squeeze has not prevented sustained investment by farmers.     

UNDERWRITING ASSISTANCE TO THE AUSTRALIAN WHEAT INDUSTRY — AN APPLICATION OF OPTION PRICING THEORY

For the ten crop seasons 1979-80 to 1988-89, returns to producers in the Australian wheat industry were underwritten by a government-guaranteed price floor. Similar schemes operate in other rural industries (dairy, apples and pears, dried fruits). Although the underwriting provisions have only been triggered once (in the 1986-87 season), the provision of this scheme has acted to reduce the risk normally associated with returns to producers of wheat in all years of its operation. This reduction in risk has been granted free-of-charge by the Commonwealth Government. The guaranteed price can be viewed as a put option taken out by the Government on behalf of growers — it gives growers the option to sell to the Australian Wheat Board at this floor price. The aim of this paper is to apply to this underwriting arrangement the Black-Scholes formula for valuing options, in order to estimate the cost that growers would otherwise have had to pay to obtain cover (through put options) equivalent to the guaranteed price. We also estimate the magnitude of this form of assistance to the industry, which (until now) has not been taken into account unless the returns to growers fell below the guaranteed price.     

Agriculture: a case study in industrial relations reform

Organised Australian labour first demonstrated its power in the shearing industry just over 100 years ago. The system of arbitration developed over the last century continues to have a profound impact on agriculture. This article profiles the Australian rural labour market and identifies some continuing regulatory impediments to the proper functioning of the rural labour market. A brief review of the links between agriculture and other industries in Australia concludes that the greatest improvement in farm profitability from a better functioning labour market is to be had from productivity increases in industries outside the farm gate.     

SOME ASPECTS OF INCOME STABILIZATION FOR PRIMARY PRODUCERS

The objectives of this paper are two-fold. The first is to discuss the basic economics of an aggregate industry income stabilization policy for primary producers. The second is to examine post-World War II income instability in Australian wool, wheat, and beef and to apportion it into its price and output components. This analysis provides a basis for discussing income stabilization in the Australian context.     

Simulating economic values of a genetic improvement program for Australian farmed saltwater crocodiles*

In genetic improvement programs, candidates for breeders are ranked by the profitability of their offspring, expressed as a weighted sum of the genetic gain from selection. In this paper, we estimate the economic values of a genetic improvement program for Australian farmed saltwater crocodiles. A bioeconomic profit function for a representative breeding pair is used to determine the optimal slaughter age following genetic improvement in each selection objective. The results indicate that estimated farm profitability increases by nearly $A111 for a 1‐week reduction in juvenile slaughter age, $A78 for a 1 per cent increase in the proportion of first‐grade skins produced, and $A33 for an increase in the number of viable hatchlings per clutch. The implications of the analysis for the Australian crocodile industry and the limitations of the research are explored.     

Probability distributions for economic surplus changes: the case of technical change in the Australian wool industry

Mullen, Alston and Wohlgenant (1989) (MAW) examined the distribution of the benefits of technical change in the Australian wool industry. Their conclusions are revisited by examining the probability distributions of changes in the welfare measures, given uncertainty about their model parameters. Subjective probability distributions are specified for the parameters and correlations among some of the parameters are imposed. Hierarchical distributions are also used to model diverse views about the specification of the subjective distributions. A sensitivity elasticity is defined through the estimation of a response surface to measure the sensitivity of the estimated research benefits to individual parameters. MAW's conclusions are found to be robust under the stochastic approach to sensitivity analysis demonstrated in this article.