软木胶合板行业公共研究的边际生产力:双重方法

IF 1.5 4区 农林科学 Q2 FORESTRY
Barry J. Seldon, David H. Newman
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引用次数: 0

摘要

对农业研究中常用的生产函数方法进行了修改,以估算政府资助的林业研究的收益。该方法使用一个同步、受约束的供需系统间接估算生产函数系数。根据这些估算结果,利用软木胶合板公共研究的边际产品价值 (VMP) 计算出公共资助研究的边际内部收益率 (MIRR)。农业文献中的类似研究使用的短期 VMP 仅基于研究与开发的初始影响,而我们开发的长期 VMP 则包含了随着时间推移而产生的研究影响。不过,我们也定义了短期 VMP,并将其与农业文献中报告的结果进行了比较。软木胶合板的短期 VMP 估计值与玉米和家禽等其他综合研究案例相似。然而,估计的长期增值市场潜力很大;根据最保守的假设,以 1967 年的美元计算,软木胶合板公共研究的增值市场潜力估计为 33.11 美元。市场投资回报率也很大,估计值较低,为 236%。For.33(4):872-888.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Marginal Productivity of Public Research in the Softwood Plywood Industry: A Dual Approach
The production function approach commonly used in agricultural studies is modified to estimate returns from publicly funded forestry research. The method indirectly estimates production function coefficients using a simultaneous, constrained supply and demand system. From these estimates the value of the marginal product (VMP) of public research involving softwood plywood is used to calculate a marginal internal rate of return (MIRR) on publicly funded research. Whereas similar studies in the agricultural literature use a short-run VMP based solely on the initial impact of R&D, we develop a long-run VMP, which incorporates research impacts over time. A short-run VMP is also defined, however, and compared to the results reported in the agricultural literature. Estimates of the short-run VMP for softwood plywood are similar to other aggregate research cases, such as corn and poultry. The estimated long-run VMP, however, is large; the most conservative assumptions yield an estimated VMP of public research in softwood plywood of $33.11 in 1967 dollars. The MIRR is also large with a lower estimate of 236%. For. Sci. 33(4):872-888.
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来源期刊
Forest Science
Forest Science 农林科学-林学
CiteScore
2.80
自引率
7.10%
发文量
45
审稿时长
3 months
期刊介绍: Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management. Forest Science is published bimonthly in February, April, June, August, October, and December.
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