Chinese Agricultural Science Bulletin ›› 2018, Vol. 34 ›› Issue (1): 159-164.doi: 10.11924/j.issn.1000-6850.casb16110044
Special Issue: 现代农业发展与乡村振兴
曾伟 and
Received:
2016-11-09
Revised:
2016-12-22
Accepted:
2016-12-23
Online:
2018-01-12
Published:
2018-01-12
CLC Number:
曾伟 and . Effect of Agricultural Technical Training on Pesticide Usage Under Heterogeneity: A Study Based on the Propensity Score Matching Method[J]. Chinese Agricultural Science Bulletin, 2018, 34(1): 159-164.
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URL: https://www.casb.org.cn/EN/10.11924/j.issn.1000-6850.casb16110044
[1] 农业部.农业部关于印发《到2020年化肥使用量零增长行动方案》和《到2020年农药使用量零增长行动方案》的通知[EB/OL].http://www.moa.gov.cn/zwllm/tzgg/tz/201503/t20150318_4444765.htm,2015. [2] 王常伟,顾海英.市场VS政府,什么力量影响了我国菜农农药用量的选择[J].管理世界,2013(11):50-66. [3] Van asselt, Meuwissen M P M. Selection of Critical Factors for Identifying Emerging Food Safety Risks in Dynamic Food Production Chains[J].Food Control,2010(21):919-926. [4] 娄博杰,宋敏,张庆文,等.农户高毒农药施用行为影响因素分析——以东部六省调研数据为例[J].农村经济,2014(7):108-112. [5] 王秀清,孙云峰.我国食品市场上的质量信号问题[J].中国农村经济,2002(5):27-32 [6] 卜元卿,孔源,智勇,等.化学农药对环境的污染及其防控对策建议[J].中国农业科技导报,2014,16(2):19-25. [7] 黄季焜,齐亮,陈瑞剑.技术信息知识、风险偏好与农民施用农药[J].管理世界,2008(5):71-76. [8] 应瑞瑶,朱勇.农业技术培训方式对农户农业化学投入品使用行为的影响—源自实验经济学的证据[J].中国农村观察,2015(1):50-58. [9] 张伟,朱玉春.基于logistic模型的蔬菜种植户农药安全施用行为影响因素分析[J].广东农业科学,2013(4):216-220. [10] 王建华,马玉婷,李俏.农业生产者农药施用行为选择与农产品安全[J].公共管理学报,2015,12(1):117-125. [11] 潘丹,农业技术培训对农村居民收入的影响:基于倾向得分匹配方法的研究[J],南京农业大学学报:社会科学版,2014(5):62-69. [12] 毛飞,孔祥智.农户安全农药选配行为影响因素分析——基于陕西5个苹果主产县的调查[J].农业技术经济,2011(5):4-12. [13] 吴林海,侯博,高申荣.基于结构方程模型的分散农户农药残留认知与主要影响因素分析[J].中国农村经济.2011(3):35-48. [14] Goodhue R, Klonsky K. Can an Education Program Be a Substitute for a Regulatory Program that bans pesticides? Evidence from a panel selection model”[J]. American Journal of Agricultural Economics,2010,92(4):956-971. [15] 许竹青,郑风田,陈洁.“数字鸿沟”还是“信息红利”?信息的有效供给与农民的销售价格-一个微观角度的实证研究[J].经济学,2013(4):1514-1535. [16] Rosenbaum P, Rubin D. The Central Role of the Propensity Score in Observational Studies for Causal Effects[J].Biometrika,1983,70(1):41-55. [17] Sascha O Becker, Andrea Ichino. Estimation of average treatment effects based on propensity scores[J].The stata Journal,2002,2(4):358-377. |
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