Quarterly data from 1962 to 1983 for beef, lamb, mutton, pig meat and poultry were used to test for constancy in the structure of meat demand in Australia. The cumulative sum, cumulative sum of squares and Farley-Hinich tests were applied to a range of models to ensure that any rejection of...

Examines the productivity performance of the wholesale and retail trade sectors in light of their significant contribution to Australia’s record productivity performance in the 1990s. Fundamental changes in the nature and operations of wholesale trade, in particular, have brought marked...

The effects of the 1964 and 1979 beef import laws on the beef industries of the aggregate United States and Hawaii are simulated for 1972-81 by linking Hawaii and national econometric models. Although impacts are slight for both models, Hawaii beef prices and production appear to be less...

This paper shows that research on international agricultural trade reform can make much greater contributions to understanding than was feasible in earlier trade negotiations. Part of this is due to improvements in the basic data on production, consumption and trade associated with the...

Recent discussion of the process of policy reform has tended to focus on public and private interest theories of public choice as alternative models. The analysis of Australian agricultural policy presented in this paper draws on several extensions of the private interest model including the...

Interest has grown in analyzing the impact of national imports of foreign beef on state agricultural sectors. In this study, an interfaced Hawaiian-national model is simulated for a change in national beef imports. Hawaiian and national impacts demonstrate wide variation in both sign and...

A successful agreement on agriculture is critical for an overall agreement under the Doha negotiations. But before the final agreement is known, some critical decisions must be made about issues such as resumption of the negotiations, and the key tradeoffs to be made following resumption. We...