
We use a stochastic production frontier model to investigate the presence of heterogeneous production and its impact on fleet capacity and capacity utilization in a multi-species fishery. Furthermore, we propose a new fleet capacity estimate that incorporates complete information on the stochastic differences between each vessel-specific technical efficiency distribution. Results indicate that ignoring heterogeneity in production technologies within a multi-species fishery, as well as the complete distribution of a vessel’s technical efficiency score, may yield erroneous fleet-wide production profiles and estimates of capacity. Furthermore, our new estimate of capacity enables out-of-sample production predictions predicated on either homogeneity or heterogeneity modeling which may be utilized to facilitate policy.
fishery capacity, heterogeneous production, latent class modeling, Economics, Stochastic frontier, tbd, heterogeneous production, latent class modeling, Efficiency probability, fishery capacity, Mathematics, jel: jel:C23, jel: jel:N50, jel: jel:D24
fishery capacity, heterogeneous production, latent class modeling, Economics, Stochastic frontier, tbd, heterogeneous production, latent class modeling, Efficiency probability, fishery capacity, Mathematics, jel: jel:C23, jel: jel:N50, jel: jel:D24
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 23 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
