HEALTH COST OF PESTICIDE USE ON RICE CULTIVATION IN THE SOUTH-WEST REGION OF BANGLADESH

Fariha Farjana, Jahangir Polash, Sabiha Ferdousy
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Abstract

The study concentrates on assessing health hazards caused by pesticide spray in rice cultivation in the South-west region of Bangladesh. The data particularized that the probability of facing discomfort due to pesticide exposure is 79 percent. The cost-of-illness (Mitigation cost and income loss due to sickness) and avertive action are considered to estimate pesticide use costs. For health cost estimation, a household survey on rice fanners was conducted. The data were collected through an interview method by using a well-structured questionnaire. Logit, Probit, Poission regression, and Negative binomial regression models have been applied in this study. The predicted probability of falling sick from pesticide-related symptoms is significantly higher among individuals who apply pesticides with high chemical concentrations. For both the logit and probit models, it is statistically significant at a 5 percent significance level. On the other hand, an Integrated Pest Management (IPM) application, first aid knowledge, avertive action, treatment facilities, and knowledge level help reduce the probability of diseases caused by pesticide exposure. Finally, the study finds BDT 5273 per person per season as the health cost for pesticide application-oriented health hazard.
孟加拉国西南地区水稻种植中农药使用的健康成本
该研究的重点是评估孟加拉国西南地区水稻种植中农药喷洒造成的健康危害。数据特别指出,由于接触农药而面临不适的可能性为79%。在估算农药使用成本时,考虑了疾病成本(缓解成本和因疾病造成的收入损失)和预防行动。为估计卫生费用,对稻农进行了家庭调查。数据收集采用访谈法,采用结构合理的问卷调查。本研究采用Logit、Probit、Poission和负二项回归模型。在使用高化学浓度农药的个体中,因农药相关症状而患病的预测概率明显更高。对于logit和probit模型,在5%的显著性水平上具有统计显著性。另一方面,虫害综合防治(IPM)的应用、急救知识、预防行动、治疗设施和知识水平有助于减少农药暴露引起的疾病的可能性。最后,研究发现农药使用对健康危害的健康成本为每人每季5273 BDT。
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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