MEASURING PRODUCTIVITY GROWTH IN AUSTRALIAN BROADACRE AGRICULTURE

An important source of growth for Australian broadacre agriculture has been technical progress. We compare alternative measures of productivity growth including the traditional Tornqvist-Thiel total factor productivity index; variants of this approach that allow decreasing returns to scale; the Fisher ideal index; other nonparametric measures that do not impose particular functional forms and an econometric estimate from a translog industry cost function. The annual growth in productivity in broadacre agriculture over the period from 1953 to 1994 was in the range of 2.4 to 2.6 per cent and hence was quite robust to measurement technique.     

Do Agricultural Commodity Prices Respond to Bans against Bioengineered Crops?

Bans against bioengineered food ingredients by major food companies have been broadly reported and have been often taken to signal demand shifts away from commodities in favor of identity-preserved non-bioengineered crops. Yet, the impacts of such bans have not been quantified and, indeed, the market size for non-bioengineered crops remains unknown. We tested whether either the Chicago Board of Trade soybean futures prices (commodity) or the Tokyo Grain Exchange non-GMO soybean futures prices (identity preserved market) responded to firm bans of bioengineered food ingredients. Neither the Chicago Board of Trade soybean futures prices nor the Tokyo Grain Exchange non-GMO soybean futures prices respond to bans.     

The Phoenix Process at Fluke Corporation

When the end of the Cold War threatened Fluke Corporation's future growth, it developed a structured process to achieve continuous reincarnation...     

Social capital and social economics

The “discovery” of social capital in the early 1990s led to an upsurge of research into the economic impact of social cohesion and governmental effectiveness. This paper outlines key developments in the social capital literature over the past 13 years. It then examines theory and evidence of the links between social cohesion, quality of governance, economic performance and human welfare. The literature indicates that social capital makes a measurable contribution to economic development and overall wellbeing, particularly in developing countries. Partly in response to this emerging body of evidence, there has been increased interest in the application of community development principles to economic development initiatives. This paper argues that the advent of social capital theory represents a partial convergence between social economics and mainstream economics, and signifies an increased acceptance that economic activity cannot be meaningfully “disembedded” from social and political context.     

Alternative Policy Instruments for Agriculture Support: Consequences for Trade, Farm Income and Competitiveness

The views expressed are solely those of the authors and should not be attributed to the Organisation for Economic Co-operation and Development or Agriculture and Agri-Food Canada.     

The influence of project novelty on the new product development process

In this paper we review the range of formal tools and techniques available to support the new product development process, and examine the use and usefulness of these by means of a survey of 50 projects in 25 firms. For each firm, we compare routine and novel development projects, and identify the influence of project novelty on the frequency of use and perceived usefulness of a range of different tools and methods. In terms of usefulness, focus groups, partnering customers and lead users and prototyping are all considered to be more effective for high novelty projects, and segmentation least useful. Cross-functional development teams are commonplace for all types of project, but are significantly more effective for the high novelty cases. In addition, many tools rated as useful are not commonly used, and conversely some tools in common use are considered to be of limited use.     

Automotive supplier parks: An imperative for build-to-order?

Build-to-order (BTO) has been hailed as a production strategy that fits the demands of the 21st century where a considerable challenge for the industry is how to achieve flexibility from extended supply chains that span the globe and retain elements of make-to-forecast. A study of 8 European manufacturers examines whether supplier parks are an imperative for BTO using a conceptual framework developed from the literature. The findings question the idea that simply locating suppliers in close proximity to original equipment manufacturer assembly plants reduces delivery lead time and inventory. Hence, not all types of supplier parks are an imperative for BTO, where the cases reveal a wide variety of types ranging in scale and proximity. The originality of the paper is a unique study which redefines both automotive supplier park terminology and the relationships with BTO. It questions received wisdom and offers practical measures for industry.     

An integrated model of service experience design improvement

Service experience design, addressing an overall experience problem with user-centered design thinking is a critical issue. This study proposes an integrated model of service experience assessment that addresses the relationship between user value and experience based on the importance and satisfaction concept. Refined improvement index of this study was developed for the determination of improvement priority. The paper then presents an empirical study of 3C (computer, communication, consumer-electronics) retail stores in which the proposed model was used to identify the critical servicescape items requiring improvement, and ranked on the strategies of improvement. The model requires a systematic approach to (i) examine the performance of these retail service processes; (ii) determine the items to be improved; and (iii) select appropriate and feasible strategies to improve these items. This integrated model is valuable for practical implementation in service firms to investigate and prioritize service design actions based on user experience data gathered from service sites.     

Nonparametric discrimination of time series data

A normality assumption is usually made for the discrimination between two stationary time series processes. A nonparametric approach is desirable whenever there is doubt concerning the validity of this normality assumption. In this paper a nonparametric approach is suggested based on kernel density estimation firstly on (p+1) sample autocorrelations and secondly on (p+1) consecutive observations. A numerical comparison is made between Fishers linear discrimination based on sample autocorrelations and kernel density discrimination for AR and MA processes with and without Gaussian noise. The methods are applied to some seismological data.