Business Economics Group, Wageningen University and Research, Wageningen, Netherlands.
PLoS One. 2021 Apr 23;16(4):e0250494. doi: 10.1371/journal.pone.0250494. eCollection 2021.
Differences in technical efficiency across farms are one of the major factors explaining differences in farm survival and growth and changes in farm industry structure. This study employs Data Envelopment Analysis (DEA) to compute technical inefficiency scores for output, energy, materials, pesticides and fertiliser of a sample of Dutch indoor vegetable farms within the period 2006-2016. A bootstrap truncated regression model is used to determine statistical associations between producer-specific characteristics and technical inefficiency scores for the specified inputs. For the sample of indoor growers, the average technical inefficiency was about 14% for energy, 23% for materials, 24% for pesticides and 22% for fertilisers. The bootstrap truncated regression suggested that the degree of specialisation exerts adverse effects on the technical inefficiency of variable inputs. While age, short-term, long-term debt and subsidy were statistically significant, the coefficients were not economically significant. Building the capacity of farmers to reduce input inefficiency will enable farmers to be competitive and reduce the adverse effects of input overuse on the environment.
农场之间的技术效率差异是解释农场生存和成长差异以及农场产业结构变化的主要因素之一。本研究采用数据包络分析（DEA）方法，计算了 2006 年至 2016 年期间荷兰室内蔬菜农场样本的产出、能源、材料、农药和肥料的技术无效率得分。使用 bootstrap 截断回归模型确定了生产者特定特征与指定投入的技术无效率得分之间的统计关联。对于室内种植者样本，能源的平均技术无效率约为 14%，材料为 23%，农药为 24%，肥料为 22%。bootstrap 截断回归表明，专业化程度对可变投入的技术无效率产生不利影响。虽然年龄、短期、长期债务和补贴具有统计学意义，但系数在经济上并不显著。提高农民减少投入效率的能力将使农民具有竞争力，并减少投入过度使用对环境的不利影响。
