Precision agriculture technology adoption and technical efficiency

被引:39
|
作者
DeLay, Nathan D. [1 ]
Thompson, Nathanael M. [1 ]
Mintert, James R. [1 ]
机构
[1] Purdue Univ, Dept Agr Econ, W Lafayette, IN 47907 USA
基金
美国食品与农业研究所;
关键词
precision agriculture; stochastic frontier analysis; stochastic meta-frontier analysis; technology adoption; technical efficiency; METAFRONTIER PRODUCTION FUNCTION; FRONTIER PRODUCTION FUNCTION; VARIABLE-RATE TECHNOLOGY; SEQUENTIAL ADOPTION; INEFFICIENCY; INFORMATION; TESTS; SIZE;
D O I
10.1111/1477-9552.12440
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
We explore the relationship between precision agriculture (PA) technology adoption and technical efficiency using the 2016 USDA Agricultural Resource Management Survey (ARMS). Efficiency gains from PA are likely cumulative, that is, the true impact of precision farming depends on the integration of complementary tools. To examine the efficiency benefits of different PA bundles, we perform a two-step analysis. First, we use cluster analysis to identify distinct producer groups based on patterns in PA technology adoption. These producer groups map naturally onto the classic technology adoption curve (laggards, late majority, early majority, innovators). Second, we use stochastic frontier analysis (SFA) and stochastic meta-frontier analysis (SMFA) to estimate differences in technical efficiency between PA adoption groups. We find that farms with advanced PA technology bundles are significantly more technically efficient than non-adopters. Differences in technical efficiency are not found to be driven by heterogeneous production technologies, but rather inefficiencies in input usage at the farm level. Our results have strong implications for farm consolidation in US agriculture.
引用
收藏
页码:195 / 219
页数:25
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