Economic return to quality-enhancing research : the case of dark-cutting beef in Australia

Research output: Journal PublicationsJournal Article (refereed)Researchpeer-review

Abstract

An aggregated trading model is developed for assessing the size and distribution of benefits from research that reduces dark-cutting (DC) beef in Australia. The Australian beef industry has the potential to obtain gross research benefits in the range A$105-133 million per year from a 50% (or 4 percentage point) reduction in the incidence of beef with DC syndrome. The bulk of these benefits accrues to beef producers. The calculated level of benefits gives a guide to the maximum sum that could rationally be spent to obtain the requited reduction in DC.
Original languageEnglish
Pages (from-to)63-69
Number of pages7
JournalIrish Journal of Agricultural and Food Research
Volume31
Issue number1
Publication statusPublished - 1 Jan 1992
Externally publishedYes

Fingerprint

beef
Economics
economics
Research
beef industry
incidence
Industry
industry
Red Meat
cutting (process)
Incidence
distribution

Keywords

  • Beef
  • Economics
  • Research (Benefits)

Cite this

@article{8d1bb5e29950422b9a86791b12a1d41a,
title = "Economic return to quality-enhancing research : the case of dark-cutting beef in Australia",
abstract = "An aggregated trading model is developed for assessing the size and distribution of benefits from research that reduces dark-cutting (DC) beef in Australia. The Australian beef industry has the potential to obtain gross research benefits in the range A$105-133 million per year from a 50{\%} (or 4 percentage point) reduction in the incidence of beef with DC syndrome. The bulk of these benefits accrues to beef producers. The calculated level of benefits gives a guide to the maximum sum that could rationally be spent to obtain the requited reduction in DC.",
keywords = "Beef, Economics, Research (Benefits)",
author = "VOON, {Jan Piaw, Thomas}",
year = "1992",
month = "1",
day = "1",
language = "English",
volume = "31",
pages = "63--69",
journal = "Irish Journal of Agricultural and Food Research",
issn = "0791-6833",
publisher = "Teagasc",
number = "1",

}

Economic return to quality-enhancing research : the case of dark-cutting beef in Australia. / VOON, Jan Piaw, Thomas.

In: Irish Journal of Agricultural and Food Research, Vol. 31, No. 1, 01.01.1992, p. 63-69.

Research output: Journal PublicationsJournal Article (refereed)Researchpeer-review

TY - JOUR

T1 - Economic return to quality-enhancing research : the case of dark-cutting beef in Australia

AU - VOON, Jan Piaw, Thomas

PY - 1992/1/1

Y1 - 1992/1/1

N2 - An aggregated trading model is developed for assessing the size and distribution of benefits from research that reduces dark-cutting (DC) beef in Australia. The Australian beef industry has the potential to obtain gross research benefits in the range A$105-133 million per year from a 50% (or 4 percentage point) reduction in the incidence of beef with DC syndrome. The bulk of these benefits accrues to beef producers. The calculated level of benefits gives a guide to the maximum sum that could rationally be spent to obtain the requited reduction in DC.

AB - An aggregated trading model is developed for assessing the size and distribution of benefits from research that reduces dark-cutting (DC) beef in Australia. The Australian beef industry has the potential to obtain gross research benefits in the range A$105-133 million per year from a 50% (or 4 percentage point) reduction in the incidence of beef with DC syndrome. The bulk of these benefits accrues to beef producers. The calculated level of benefits gives a guide to the maximum sum that could rationally be spent to obtain the requited reduction in DC.

KW - Beef

KW - Economics

KW - Research (Benefits)

UR - http://www.jstor.org/stable/25562177

UR - http://commons.ln.edu.hk/sw_master/6241

M3 - Journal Article (refereed)

VL - 31

SP - 63

EP - 69

JO - Irish Journal of Agricultural and Food Research

JF - Irish Journal of Agricultural and Food Research

SN - 0791-6833

IS - 1

ER -