{"title":"露天煤矿开采区的呼吸系统健康与空气污染:印度奥迪沙马哈纳迪煤田研究","authors":"I. Chowdhury, Anusree Paul","doi":"10.1177/00194662241235489","DOIUrl":null,"url":null,"abstract":"The present study is based on the remote opencast coal mining region of a mineral-rich Indian state, Odisha. Our estimation confirms our primary hypothesis that proximity to opencast mining, triggers the likelihood of respiratory illness (RI). Moreover, our investigation affirms the presence of selection bias possibly due to underreporting in the self-reported RI episodes. We try to address the above causality through the pathways of both exogeneity and endogeneity of RI. After controlling for the endogeneity of RI episodes, it is evident that the effect of RI reporting on related health expenditure is grossly overestimated under the assumption of exogeneity. In the regressions, the variable of prime importance, that is, the distance from mine, treatment dummy and per capita income are statistically significant, indicating the high likelihood of RI episodes in closer proximity to the mining region, in the treatment villages over control villages. The positive significance of per capita income also supports the presence of selection bias possibly associated with self-reported RI episodes. Both estimation methods indicate that the proximity to the pollution source increases the health expenditure on RI. For treatment villages, a higher distance to healthcare facilities reduces health expenditure. The pollution load and healthcare inaccessibility are implicated through a latent burden of disease which warrants a serious policy intervention towards partial correction of the externalities for achieving sustainable and equitable development. JEL Codes: C36, I15, Q53","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"65 s93","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Respiratory Health and Air Pollution in Opencast Coal Mining Region: A Study in Mahanadi Coalfield, Odisha, India\",\"authors\":\"I. Chowdhury, Anusree Paul\",\"doi\":\"10.1177/00194662241235489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study is based on the remote opencast coal mining region of a mineral-rich Indian state, Odisha. Our estimation confirms our primary hypothesis that proximity to opencast mining, triggers the likelihood of respiratory illness (RI). Moreover, our investigation affirms the presence of selection bias possibly due to underreporting in the self-reported RI episodes. We try to address the above causality through the pathways of both exogeneity and endogeneity of RI. After controlling for the endogeneity of RI episodes, it is evident that the effect of RI reporting on related health expenditure is grossly overestimated under the assumption of exogeneity. In the regressions, the variable of prime importance, that is, the distance from mine, treatment dummy and per capita income are statistically significant, indicating the high likelihood of RI episodes in closer proximity to the mining region, in the treatment villages over control villages. The positive significance of per capita income also supports the presence of selection bias possibly associated with self-reported RI episodes. Both estimation methods indicate that the proximity to the pollution source increases the health expenditure on RI. For treatment villages, a higher distance to healthcare facilities reduces health expenditure. The pollution load and healthcare inaccessibility are implicated through a latent burden of disease which warrants a serious policy intervention towards partial correction of the externalities for achieving sustainable and equitable development. JEL Codes: C36, I15, Q53\",\"PeriodicalId\":509033,\"journal\":{\"name\":\"The Indian Economic Journal\",\"volume\":\"65 s93\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Indian Economic Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/00194662241235489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Indian Economic Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00194662241235489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究以印度矿产丰富的奥迪沙邦的偏远露天采煤区为基础。我们的估计结果证实了我们的主要假设,即靠近露天开采的煤矿会引发呼吸道疾病(RI)。此外,我们的调查还证实了选择偏差的存在,这可能是由于在自我报告的 RI 事件中存在漏报。我们试图通过 RI 的外生性和内生性途径来解决上述因果关系。在控制了风险 感染事件的内生性后,可以明显看出,在外生性假设下,风险感染报告对相关医疗支出的影 响被严重高估。在回归中,最重要的变量(即与矿区的距离)、治疗虚拟变量和人均收入在统计上显著,表明治疗村比对照村更接近矿区,更有可能发生区域感染事件。人均收入的正显著性也支持了可能与自我报告的 RI 事件相关的选择偏差的存在。两种估算方法都表明,距离污染源越近,用于 RI 的医疗支出就越高。对于治疗村而言,与医疗设施的距离越远,医疗支出就越少。污染负荷和医疗保健的不可得性与潜在的疾病负担有关,需要采取严肃的政策干预措施,以部分纠正外部效应,实现可持续的公平发展。JEL Codes:C36, I15, Q53
Respiratory Health and Air Pollution in Opencast Coal Mining Region: A Study in Mahanadi Coalfield, Odisha, India
The present study is based on the remote opencast coal mining region of a mineral-rich Indian state, Odisha. Our estimation confirms our primary hypothesis that proximity to opencast mining, triggers the likelihood of respiratory illness (RI). Moreover, our investigation affirms the presence of selection bias possibly due to underreporting in the self-reported RI episodes. We try to address the above causality through the pathways of both exogeneity and endogeneity of RI. After controlling for the endogeneity of RI episodes, it is evident that the effect of RI reporting on related health expenditure is grossly overestimated under the assumption of exogeneity. In the regressions, the variable of prime importance, that is, the distance from mine, treatment dummy and per capita income are statistically significant, indicating the high likelihood of RI episodes in closer proximity to the mining region, in the treatment villages over control villages. The positive significance of per capita income also supports the presence of selection bias possibly associated with self-reported RI episodes. Both estimation methods indicate that the proximity to the pollution source increases the health expenditure on RI. For treatment villages, a higher distance to healthcare facilities reduces health expenditure. The pollution load and healthcare inaccessibility are implicated through a latent burden of disease which warrants a serious policy intervention towards partial correction of the externalities for achieving sustainable and equitable development. JEL Codes: C36, I15, Q53