Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China.
School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China.
Environ Sci Pollut Res Int. 2022 Jul;29(35):52590-52604. doi: 10.1007/s11356-022-19533-z. Epub 2022 Mar 9.
Typical non-parametric frontier analysis based on material balance principle (MBP) is superior for measuring agricultural economic-environmental trade-offs when considering the flow of materials, but fails to incorporate the serious health effects caused by excessive use of pesticides. Here, using MBP-based data envelopment analysis, we measure the economic-environmental-health performances and trade-offs of agricultural production in China during 2006-2016. Evaluation results indicate that (i) the average agricultural sector would be able to produce current output with 16.3% fewer inputs; (ii) 17 million tons CO reduction potentials (9.6% of total emissions in 2016) could be realized through technical efficiency promotion without damaging environmental, health, and economic performances; (iii) synergistic effects on agricultural performance promotion exist in 12 regions indicating that the improvement of technical efficiency and the adjustment of input mix would simultaneously lead to 0.2-74.3% reductions on costs and pollutions; and (iv) improving cost efficiency in 18 regions and improving pollution efficiency in another 11 regions would be the most beneficial strategies for their agricultural sectors which would lead to additional reductions on total (economic, environmental, and health) costs by 10.3-22.5%.
基于物质平衡原理（MBP）的典型非参数前沿分析在考虑物质流动时更适合衡量农业经济-环境权衡，但未能纳入过度使用农药所造成的严重健康影响。在这里，我们使用基于 MBP 的数据包络分析来衡量 2006-2016 年中国农业生产的经济-环境-健康绩效和权衡。评估结果表明：（i）农业部门平均可减少 16.3%的投入来生产当前的产出；（ii）通过提高技术效率，可实现 1700 万吨 CO 的减排潜力（占 2016 年总排放量的 9.6%），而不会损害环境、健康和经济绩效；（iii）在 12 个地区存在农业绩效提升的协同效应，这表明技术效率的提高和投入组合的调整将同时导致成本和污染降低 0.2-74.3%；（iv）在 18 个地区提高成本效率和在另外 11 个地区提高污染效率将是其农业部门最有利的策略，这将导致总（经济、环境和健康）成本额外降低 10.3-22.5%。
