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。     

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。     

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.     

2020年河北省蔬菜监督抽检数据分析

目的:分析2020年河北省市场监督管理局发布的蔬菜监督抽检数据.方法:下载2020年河北省市场监督管理局发布的食品抽检相关通告,从蔬菜品种、蔬菜细类、不合格蔬菜检出详情及不合格项目等方面进行分析.结果:1199批次蔬菜10个蔬菜品种中,检出62批次不合格,平均不合格率为5.17％.鳞茎类蔬菜、芽菜类蔬菜等不合格率较高,不合格突出的蔬菜细类为韭菜、豆芽、芹菜等,不合格项目主要为农药残留,且禁用农药残留占总不合格项次的50％.结论:河北省蔬菜质量安全水平相对较好,但低于全国平均水平,超剂量使用农药、违规使用禁用农药仍是蔬菜质量安全的主要问题,仍需加强韭菜、豆芽、芹菜等高风险蔬菜的监管力度.     

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.     

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.     

Stated Willingness-to-Pay for Organic Fruit and Pesticide Ban

Abstract

Income growth in highly industrialised countries has resulted in consumer choice of foodstuffs no longer being primarily influenced by basic factors such as price and organoleptic features. From this perspective, the present study sets out to evaluate how and to what extent consumer choice is influenced by the possible negative effects on health and environment caused by the consumption of fruit containing deposits of pesticides and chemical products.

The study describes the results of a survey which explores and estimates consumer willingness to pay in two forms: a yearly contribution for the abolition of the use of pesticides on fruit, and a premium price for organically grown apples guaranteed by a certified label. The same questionnaire was administered to two samples. The first was a conventional face-to-face survey of customers of large retail outlets located around Bologna (Italy); the second was an Internet sample. The discrete choice data were analysed by means of probit and tobit models to estimate the utility consumers attribute to organically grown fruit and to a pesticide ban. The research also addresses questions of validity and representativeness as a fundamental problem in web-based surveys.     

农药使用负面影响管理中的政府、市场与组织

中国以国家干预、政府主导为特征的农药管理政策,在维护国家粮食安全、环境影响控制和农产品质量安全方面已经取得了较大进展,但目前政府主导、事前监管为主的农药负面影响管理忽视了市场和组织的力量及其在事中和事后监管中的优势,效率亟待提高。文章构建了一个政府监督、调控衣药负面影响的分析框架,应用这一新的分析框架加强和改善政府对农药负面影响的管理和调控,就需要以政府为主体,创新农药管理体制;同时重视发挥、培育市场和组织的力量。     

论农药企业的社会责任

农药企业与其他企业一样必须承担社会责任。本文阐述了企业社会责任的内涵,探讨了农药企业社会责任内容设定的几个原则,从核心层、延伸层和超越层责任三个层面讨论了农药企业社会责任的内容,指出了各层面社会责任的联系与区别。