A Reappraisal of the Role of Agriculture in Economic Growth in Melanesian Countries

Fortunes in the agricultural sectors of four of the largest South Pacific countries are traced in recent decades by estimating the single factoral terms of trade index. The single factoral terms of trade are measured for agriculture in four Melanesian countries-Fiji, Papua New Guinea, Solomon Islands and Vanuatu-over the period, 1970 to 2002. This index provides a useful method to assess changes in returns to factors employed in agricultural production in these countries. Except in Solomon Islands, farmers experienced a deteriorating index, indicating that they have reaped progressively lower returns to their resources. In Solomon Islands, returns to resources are shown to have increased slightly. A sustained contribution by the agricultural sector to economic growth requires a major improvement in returns to farm resources. Of the three components of the factoral terms of trade index, product price increases and cost decreases are argued to be unlikely to yield great dividends in the foreseeable future. Most potential lies in increasing TFP, which will depend on more effective work from the national research and extension services, and greater transfer of improved technologies from international research centres than achieved to date.factoral terms of trade, Melanesia, smallholders, total factor productivity, International Development, D24, O12, O47, Q17,

Evidence on trends in the single factoral terms of trade in African agricultural commodity production

The ability of African countries to achieve sustained improvements in agricultural incomes depends on their ability to generate total factor productivity (TFP) change in their agricultural sectors and adjust to movements in agricultural output and input prices. The single factoral terms of trade index measures these changes, calculated as changes in the product of TFP and the agricultural terms of trade. Estimates of the single factoral terms of trade index for the selected commodities over the period 1970-2002 are reported and discussed for 33 African countries for which data sets are available. The index is estimated for producers of coffee, cocoa, copra, palm kernel oil, coconut oil, palm oil, rice, cotton and sugar using annual agricultural sector data. Few countries managed to achieve an increase in the index over this period and it declined in many countries. In the light of the empirical evidence assembled, three broad strategic options are considered, covering agricultural trade reform, economic diversification strategies and strategies to improve total factor productivity in commodity production.Crop Production/Industries, International Relations/Trade,

Evaluating the Impacts of Information and Communication Technology (ICT) on Trade in Fruit and Vegetables within the APEC Countries

The global food marketing network is being constantly reshaped, providing opportunities and challenges to the use of information and communication technology (ICT) to develop international trade in food products. ICT is likely to be especially important for food products such as fresh fruit and vegetables that are differentiated and sensitive to timeliness in supply, possess varied quality dimensions, and involve considerable supply accumulation and assortment. Digital ICT (Internet and mobile phones), in particular, is expected to facilitate international trade and encourage efficiency in the fruit and vegetables marketing system in two main ways. First, it reduces communication and search costs through cheaper and more effective media. Second, it improves market information and corrects information externalities along the supply chain, by promoting greater price transparency and enabling consumer preferences and tastes to be more precisely met. We employed a gravity model of international trade to test the hypothesis that ICT positively affects bilateral international trade in fruit and vegetables between member Asia-Pacific Economic Cooperation (APEC) economies in the period from 1997 to 2006. Explanatory variables include the usage of the Internet, mobile telephones and fixed telephone lines, and a broad range of factors that might determine the value of bilateral trade such as income per capita, population, distance between trading partners and common language. A Poisson pseudo-maximum likelihood model was estimated in order to handle zero trade observations and reduce biases caused by heteroskedasticity. Empirical results were not quite as expected, with relatively minor impact of digital ICT. They suggest that using digital ICT has significant positive effects on trade in fruit and vegetables between APEC countries only for the Internet in exporting countries. A stronger positive impact was discerned for the traditional form of ICT, fixed telephone lines in exporting importing countries. Nevertheless, fostering the development of digital ICT infrastructure and its diffusion should make exporters in APEC countries more competitive in the fruit and vegetables supply chain through the Internet effect, and boost their trade values in these products.International Relations/Trade,

Measuring Regional Productivity Differences in the Australian Wool Industry: A Metafrontier Approach

Using panel data, we estimate technology gaps for four distinct sheep-producing regions in Eastern Australia (Northern New South Wales, Central and South-Eastern New South Wales, South-Western New South Wales and South-West Victoria) that reflect spatial environmental and technological differences in wool production. A deterministic stochastic metafrontier production function model is estimated that envelops the stochastic frontiers of the four regions. This metafrontier approach enables us to estimate the environment-technology gap ratio that reflects these spatial differences in the environment and variations in production technologies in the wool enterprise for benchmarked farmers in each region. As a result, a more accurate estimation is possible of changes in total factor productivity on farms in the different regions. The major findings are that environment-technology gaps do exist between regions but they are relatively small. Greater variation is apparent within regions. Variation in technical efficiency seems to depend on the harshness of the production environment and whether consultancy advice is regularly received by the benchmarking group.Efficiency, Productivity, Metafrontier, Technology Gaps, Wool Production, Spatial, Livestock Production/Industries, Productivity Analysis, Research Methods/ Statistical Methods,

Evidence of Scope Economies in the Australian Wheat-Sheep Zone

Scope economies can be used in studies of farming systems to provide a measure of synergies between different farm enterprises and between activities within farm enterprises. In this paper, they are reported for farms in a benchmarking group in the Wheat-Sheep Zone in New South Wales, Australia, by estimating a stochastic input distance function and calculating an ‘economies of scope parameter’. Evidence is presented of scope economies between sheep and beef enterprises, sheep and crop enterprises, and beef and crop enterprises.Australia, crops, livestock, scope economies,

Use of the single factoral terms of trade to analyse agricultural production

The aim in this note is to reintroduce the single factoral terms of trade into the policy arena. This economic concept has scarcely been used by analysts or policy makers over the past three decades. It is defined and compared favourably with other terms of trade concepts in terms of their usefulness to agricultural policy makers in Australia. A distinction is made between the single factoral terms of trade from the viewpoint of the farm business and from the viewpoint of the farm household, but only slightly different indices are specified in each case because of the very high positive correlation between farm prices paid and consumer prices. Developing industry-level indices appears to be a more attractive way to proceed given the substantially different rates of growth in total factor productivity (TFP) between agricultural industries. Despite its usefulness, challenges lie ahead in accurately estimating each of the two components of the single factoral terms of trade, the net barter terms of trade and TFP, and the relations between these two components.net barter terms of trade, single factoral terms of trade, total factor productivity, Farm Management, International Relations/Trade,

Interactive Digital Image Manipulation System (IDIMS)

The implementation of an interactive digital image manipulation system (IDIMS) is described. The system is run on an HP-3000 Series 3 minicomputer. The IDIMS system provides a complete image geoprocessing capability for raster formatted data in a self-contained system. It is easily installed, documentation is provided, and vendor support is available

Evidence of Scope Economies in Australian Agriculture

Scope economies can be used in studies of farming systems to provide a measure of synergies between different farm enterprises and between activities within farm enterprises. In this paper, they are reported for farms in three benchmarking groups in Australia by estimating stochastic input distance functions and calculating an 'economies of scope parameter'. Evidence of significant scope economies between sheep and crop enterprises, and between beef and crop enterprises, is presented and discussed. Similar evidence is reported between wool and lamb activities and wool and mature sheep trading activities within the sheep enterprise.Australia, Crops, Livestock, Sheep, Scope Economics, Crop Production/Industries, Livestock Production/Industries, Research Methods/ Statistical Methods, Industrial Organization,

Interacting staggered domain wall fermions

The behavior of staggered domain wall fermions in the presence of gauge fields is presented. In particular, their response to gauge fields with nontrivial topology is discussed.Comment: Lattice2002(Chiral) proceedings, LaTeX, 3 pages 2 eps figure

Computational steering of a multi-objective genetic algorithm using a PDA

The execution process of a genetic algorithm typically involves some trial-and-error. This is due to the difficulty in setting the initial parameters of the algorithm – especially when little is known about the problem domain. The problem is magnified when applied to multi-objective optimisation, as care is needed to ensure that the final population of candidate solutions is representative of the trade-off surface. We propose a computational steering system that allows the engineer to interact with the optimisation routine during execution. This interaction can be as simple as monitoring the values of some parameters during the execution process, or could involve altering those parameters to influence the quality of the solutions produce by the optimisation process