Lead markets, innovation differentials and growth

This article suggests that the specialization of countries in international trade is determined by the lead-lag market pattern of national markets. Many internationally successful innovations have been adopted first in one country while other countries initially either preferred other designs or an established product. A model for the international diffusion of innovations is presented in which nationally preferred innovation designs compete to become a globally dominant design. In this model, there are country-specific market attributes that increase the likelihood that the choice a country makes among alternative technologies is followed around the world. It is argued that technological knowledge gaps are not the origin of an international competitive advantage. Instead, a country gains a competitive advantage because a specific innovation design was adopted earlier than in any other country. This gives local firms a head start in producing, gathering marketing intelligence and securing the property rights of a globally successful innovation. In countries with lag market characteristics, domestic innovations are less likely to get adopted worldwide. Lag markets often switch from a domestic innovation design to a foreign innovation design, which increases imports. The lead-lag market explanation of trade specialization has implications for national policies. In this model domestic innovations do not always foster exports; idiosyncratic innovations induced by lag market contexts can hamper the export chances of local firms and in the end lead to an increase in imports. It is suggested that in order to increase exports, national policies have to distinguish between a domestic lead and lag market context in each industry. While in a lead market context, traditional policy instruments that enhance the rate of innovations are effective, in a lag market situation national follower strategies are more appropriate.     

Choice of Distribution System in the New Zealand Life Insurance Industry

Using 1988–93 panel data drawn from the New Zealand life insurance industry, this paper examines empirically the notion that the choice of distribution system is an efficient contracting solution to incentive conflicts between owners, managers and sales agents in life insurance firms. Consistent with what was hypothesised, the empirical results suggest that choice of distribution system is distinguished by organisational form, firm size, and sales commission. However, contrary to expectations, the variables representing product diversity and asset specificity were found not to be statistically significant. The empirical results thus lend mixed support for prior predictions.     

Procedures for revising management judgments forecasts

Forecast improvement is often approached by attempting to find the “best” model for a given situation. Less attention has been paid to the possibility of examining past prediction errors for patterns that may suggest forecast adjustments for the future. This empirical study involves one firm’s management judgment forecasts for product sales and the attempts made to improve their accuracy by removing certain types of bias. In three of the five series examined, error reduction averaging close to thirty percent occurs as a result of the adjustment procedure. The other two series proved to be relatively free from bias and were therefore not in need of the correction method described.     

Market and institutional forces in industrial relations: the development of national collective bargaining, 1910–1920

This article reviews recent trends in the historiography of British industrial relations, and highlights a growing emphasis on the influence of employers and impersonal economic forces. In response, the article argues for a renewed recognition of trade unions as a proactive force in the development of industrial relations systems. This view is supported by analysis of the influence of market and institutional forces upon the spread of national collective bargaining. The conclusion is that commercial pressures on employers were relatively unimportant in a process driven by human agency, institutional forces, and wider economic pressures.     

Does individualization help productivity of transition agriculture?

There are large differences across transition countries with respect to agricultural‐sector performance and corresponding scope of farm restructuring and shift to individual farming. In this article we analyze the impact of individualization on productivity growth within an augmented neoclassical growth model framework. This approach allows us to circumvent criticisms on the grounds of lack of theoretical and objective criteria for inclusion of explanatory variables. Furthermore, in the empirical analysis using a panel data covering 15 transition countries over the period 1990–2001 and applying a generalized method of moments with instrumental variable estimator we are able to control for the impact of various factors and the potential endogeneity of variables. Our estimation results are robust and support the view that the shift to individual farming, as well as the overall economic reforms, has positively contributed to the productivity growth in agriculture during the first decade of transition.     

Societal preferences for fertility treatment in Australia: a stated preference discrete choice experiment

Objective: To investigate preferences for fertility treatment from the Australian general population with the aims of calculating the willingness to pay in tax contribution for attributes (characteristics) that make up treatment and for an “ideal” fertility treatment program. We also assessed whether willingness-to-pay varies by the relationship status or sexual orientation of the patient.

Methods: A stated preference discrete choice experiment was administered to a panel of 801 individuals representative of the Australian general population. Seven attributes of fertility treatment under three broad categories were included: outcome, process, and cost. Attributes were identified through published literature, focus group discussions, expert knowledge, and a pilot study. A Bayesian fractional experimental design was used, and data analysis was performed using a generalized multinomial logit model. Further analyses included interaction terms and latent class modeling.

Results: Six of the seven attributes influenced the choice of a treatment program. Under process attributes, individuals preferred: continuity of care of clinic staff, where patients are seen by the same doctor but different nurses at each visit; “alternative” treatments being offered to all patients; and onsite clinic counseling and peer-support groups. Personalization and tailoring of the treatment journey were not important. Among outcome attributes, the improved success rate of having a baby per cycle and significant side-effects were considered important. Cost of treatment also influenced the choice of treatment program. Individual preferences for fertility treatment were not associated with patients’ relationship status or sexual orientation. Latent class modeling revealed sub-groups with distinct fertility treatment preferences.

Conclusion: This study provides important insights into the attributes that influence the preferences of fertility treatment in Australia. It also estimates socially-inclusive willingness-to-pay values in tax contributions for an “ideal” package of treatment. The results can inform economic evaluations of fertility treatment programs.