A STOCHASTIC FRONTIER ANALYSIS TO EXAMINE RESEARCH PRIORITIES FOR GENETICALLY ENGINEERED PEANUTS

Author:

AFFUSO ERMANNO,HITE DIANE,WILSON NORBERT W.L.

Abstract

AbstractPesticide applications are essential for peanut production to control insects, weeds, and other plant pathogens and for a profitable operation. We use a stochastic frontier analysis/primal system approach to test the hypothesis of the overuse of fungicides among peanut farmers. With nationally representative data available from the Agricultural and Resource Management Survey, we find evidence that U.S. peanut growers used excessive amounts of fungicides to prevent fungal infections. If those farmers adopt a new cultivar resistant to fungal pathogens, they could reduce the total cost of chemicals up to 36.2%. The reduction in fungicide use would have spillover environmental benefits.

Publisher

Cambridge University Press (CUP)

Subject

Economics and Econometrics,Agricultural and Biological Sciences (miscellaneous)

Reference44 articles.

1. U.S. Food and Drug Administration (FDA). “CPG Sec. 683.100 Action Levels for Aflatoxins in Animal Feeds.” Internet site: http://www.fda.gov/ICECI/ComplianceManuals/CompliancePolicyGuidanceManual/ucm074703.htm (Accessed March 9, 2015).

2. Estimation of von Liebig Response Functions

3. Southeastern Peanut-Production Cost Efficiency Under the Quota System: Implications for the Farm-Level Impacts of the 2002 Farm Act

4. Estimation of technical and allocative inefficiency: A primal system approach

5. U.S. Department of Agriculture, National Agricultural Statistics Service (USDA-NASS). “Quick Stats Tools.” Internet site: http://www.nass.usda.gov/Quick_Stats/ (Accessed May 20, 2015).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3