Eco-Efficiency of Agriculture in the Amazon Biome: Robust Indices and Determinants

Carlos Rosano-Peña, João Vitor Borges Silva, A. Serrano, José Eustáquio Ribeiro Vieira Filho, Herbert Kimura
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Abstract

This study analyzes the municipal agriculture eco-efficiency in the Amazon biome and the influence of exogenous factors. We use a two-stage data envelopment analysis (DEA) method with bootstrap. The results indicate that: (i) the density curve of the corrected eco-efficiency indices is statistically different from the deterministic score curves, suggesting the presence of bias in the latter; (ii) there is evidence of constant returns, demonstrating that small, medium and large municipalities can be equally eco-efficient; (iii) there are relevant eco-inefficient behaviors, showing that it is possible to increase the products (gross revenue and preserved area) and simultaneously reduce environmental damage (impact on biodiversity and greenhouse gas emission indices) with the same inputs, by replicating the best practices; and (iv) eco-efficiency scores are also substantially affected by exogenous factors. Based on the results, strategies can be defined by decision-makers to harmonize economic growth and environmental preservation; in addition, adaptive policies and actions can be adopted to optimize the sustainability of regional agriculture.
亚马逊生物群农业生态效率:稳健指数和决定因素
本研究分析了亚马逊地区城市农业生态效率及其外源因素的影响。我们使用了带bootstrap的两阶段数据包络分析(DEA)方法。结果表明:(1)修正后的生态效率指数密度曲线与确定性得分曲线存在统计学差异,表明确定性得分曲线存在偏差;(ii)有持续回报的证据,表明小型、中型和大型城市可以同样具有生态效率;(iii)存在相关的生态低效行为,表明通过复制最佳实践,可以在相同投入的情况下增加产品(总收入和保护面积),同时减少环境破坏(对生物多样性的影响和温室气体排放指数);(4)生态效率得分也受外生因素的显著影响。根据研究结果,决策者可以制定协调经济增长和环境保护的策略;此外,可采取适应性政策和行动,优化区域农业的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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