中国农药施用与农业经济增长脱钩状态：时空特征与影响因素

[目的]明确农药施用与农业经济增长关联状态及其影响因素,为实现"控药减害增收"的目标提供借鉴。[方法]基于2005—2015年数据利用脱钩理论和对数平均分解指数法分解进行分析。[结果]中国农业经济增长伴生大量农药施用,仅少数省域表现出农药施用和农业经济增长扩张绝对脱钩的理想状态,东北西北部分省域农业经济增长则以更大幅度的农药投入增长为代价。中西部地区劳动力规模和技术进步效应是推动农药施用与农业经济增长脱钩的因素;东部地区种植规模变化、劳动力规模和技术进步因素均是推动农药施用和农业经济增长脱钩的因素;东北地区仅劳动力规模效应成为推动脱钩的力量。[结论]推动农药施用与农业经济增长脱钩需要强化农业科技的创新与普及,完善农业生产过程中的技术支撑,推动农业病虫害监测预警,加大对环境友好型低污染农药和肥料的推广度;构建农户施药的多重约束机制,完善农业病虫灾害保险减少农户对生产过程的风险感知,发挥农业合作社对农户施药行为的规制作用,完善产品分级认证和安全准入制度;通过农地合理流转和农业机械化等方式集约利用农业生产资源;因地制宜推动农药施用与农业经济增长脱钩,结合区域资源优势和农业发展阶段有针对性地设计对策措施。     

Neighbourhood Effects in Pesticide Use: Evidence from the Rural Philippines

This study investigates how pesticide use by neighbouring farmers affects a given farmer's pesticide use. Although it is common knowledge that pesticide use has spatial externalities, few empirical economic studies explicitly analyse this issue. Applying a spatial panel econometric model to plot‐level panel data for Bohol, Philippines, this study shows that pesticide use, especially for herbicides, is spatially correlated, although there is no statistically significant spatial correlation in unobserved shocks. This implies that farmers apply pesticides by referring to the behaviour of neighbouring farmers rather than responding directly to the intensity of their own infestation.     

2001-2002年山东省农药工业回顾

本文在广泛调查与深入分析的基础上 ,对山东省近两年的农药生产、科研、销售和应用情况进行了综述。为企业及有关部门提供了详实可靠的资料。     

国内外果品农残监测的分析

本文分析了我国及欧、美、日、澳、巴西等国家果品农药残留的监管措施，并就我国果品等农产品的农残监测提出建议。     

农药企业社会责任指标体系与评价方法

企业社会责任评价体系是企业履行社会责任的指南和准则,是引导和规范企业行为的信息工具,是农药企业社会责任从定性研究到定量评价、从理论到实践的桥梁和纽带。本文在构建指标体系原则指导下,设计了农药企业社会责任综合评价指标体系,从经济效益、创新能力、产品质量、售后服务、环境保护、员工权益、社区关系和慈善公益八个方面设计指标反映农药企业社会责任评价所包含的主要内容,并利用层次分析法确定了不同子目标和指标的权重,同时就企业间横向比较和单一企业纵向比较两种情形,分别给出了社会责任综合评价的方法。     

生物农药——21世纪农药的生力军

生物农药是人们减少污染、回归自然的一个必然选择。与化学农药相比,生物农药具有无可比拟的优越性,在农作物病虫害的防治和清除杂草方面,生物农药的应用前景广阔。介绍了生物农药的种类(植物源农药,微生物农药,生物体农药),独特的作用机理和在可持续发展中的地位,并展望了它的发展前景。     

The influence of risk preferences,knowledge, land consolidation,and landscape diversification on pesticide use

Researchers have spent substantial effort to identify factors influencing pesticide use intensity. However, few studies have compared the relative importance of these factors. This study examines four categories of factors that potentially influence farmers’ pesticide use decisions by evaluating incentivized experiment data, farm survey data, and remote sensing data in China. Our results suggest that land diversification has the largest effect on farmers’ pesticide use. Compared with the most rice-intensive landscape type, less rice-intensive systems cause farmers to spray less on middle rice. Heavy pesticide use intensity is associated with land fragmentation as small-scale farms still dominate crop production. Farmers’ integrated pest management knowledge has significant effects on pesticide use. We also find that loss and ambiguity preferences, rather than risk preferences, are more likely to affect pesticide use intensity.     

A Meta‐Analysis on the Elasticity of Demand for Pesticides

There is an increasing policy interest in pesticide taxation schemes as a measure to reduce harmful effects of pesticide use. The effectiveness of such tax depends, however, on the price elasticity of demand for pesticides. Moreover, information on these demand elasticities and their determinants is of crucial relevance for policy‐making and normative modeling approaches. In this article, we present a meta‐analysis based on studies that have estimated pesticide demand elasticities in Europe and North America. Our meta‐analysis reveals that the own‐price elasticities of demand for pesticides are, with a median of ?0.28, significantly smaller than zero, but also significantly larger than ?1, i.e. to be inelastic. We find that the demand for pesticides for special crops is less elastic than that for arable and grassland. In addition, the demand for herbicides is more elastic than for other pesticides. Studies that consider only short‐term horizons and little flexibility for farmers to adjust to price changes generate significantly less elastic pesticide demands. The results also indicate that more recent studies identify lower pesticide price elasticities of demand. Furthermore, we find that peer‐reviewed studies tend to find more inelastic results compared to grey literature.     

农户风险感知与施药行为的响应关系研究——基于辽宁省菜农数据的实证检验

本文基于辽宁省蔬菜主产区434户菜农调研数据,运用结构方程模型验证了农户风险感知与施药行为的响应关系。研究结果表明,农户风险感知潜变量正向影响农户的施药行为响应,但是风险感知和施药行为潜变量中各个因子的影响路径和显著程度存在差异;农户是否加入合作社对农户风险感知与施药行为的作用关系起到一定的调节效应。基于研究结论,本文提出风险意识提升、保障条件供给和发展新型农业经营主体三方面的建议。     

Ecosystem impacts of pesticide reductions through Bt cotton adoption

This article examines the ecosystem impacts of transgenic Bt cotton technology resulting from reduced chemical pesticide use. Employing unique panel data from smallholder farmers in India, negative environmental and health effects of pesticide use are quantified with the environmental impact quotient (EIQ), with and without Bt technology. An environmentally sensitive dynamic production function is estimated, treating the environmental risk of pesticide toxicity as an undesirable output in the production process. Negative externalities are significantly lower in Bt than in conventional cotton. The reduction in EIQ through Bt technology adoption has increased from 39 per cent during 2002–2004 to 68 per cent during 2006–2008. Bt adoption has also contributed to higher environmental efficiency. Environmental efficiency is influenced by the quality of Bt technology: high‐quality Bt seeds are associated with higher environmental efficiency than lower‐quality seeds.