Identifying environmental and health threats in unconventional oil and gas violations: evidence from Pennsylvania compliance reports
文献类型:期刊论文
作者 | Bi, Dan1; Guo, Ju-E1; Zhao, Erlong1; Sun, Shaolong1; Wang, Shouyang2 |
刊名 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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出版日期 | 2021-11-19 |
页码 | 15 |
关键词 | Unconventional oil and gas Text mining LDA Environmental violation Decision tree Environment pollution |
ISSN号 | 0944-1344 |
DOI | 10.1007/s11356-021-17500-8 |
英文摘要 | With unconventional oil and gas booming in commercial development, its inevitable environmental damage has aroused the public's vigilance. To support the regulation improvement and early-warning system building, it is of great need to learn the regular patterns in recurrent violations both for practitioners and governments. In this respect, we utilized the "Oil and Gas Compliance Report" from the Pennsylvania Department of Environmental Protection from 2000 to 2019, a total of 5737 violation records, to dig out the historical violation patterns. Through LDA (Latent Dirichlet Allocation) analysis combined with the decision tree model, our research attained the following conclusions: first, we find that the LDA themes of violations as "Erosion and sediment" and "Water pollution" are critical factors for "Failed" enforcement results. Therefore, policymakers and practitioners should pay more attention to those two types of accidents. Second, it is noted that counties are also one of the essential features that matter the enforcement results. Third, we need to consider the role of economic punishment dialectically, while it is not a significant feature for successful enforcement results. That is to say, a monetary penalty may not necessarily improve the effectiveness of the company's measurements. |
资助项目 | National Natural Science Foundation of China[71774130] ; National Natural Science Foundation of China[71988101] ; Fundamental Research Funds for the Central Universities[xpt012020022] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000720254000003 |
出版者 | SPRINGER HEIDELBERG |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/59577] ![]() |
专题 | 中国科学院数学与系统科学研究院 |
通讯作者 | Sun, Shaolong |
作者单位 | 1.Xi An Jiao Tong Univ, Sch Management, Xian 710049, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Bi, Dan,Guo, Ju-E,Zhao, Erlong,et al. Identifying environmental and health threats in unconventional oil and gas violations: evidence from Pennsylvania compliance reports[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2021:15. |
APA | Bi, Dan,Guo, Ju-E,Zhao, Erlong,Sun, Shaolong,&Wang, Shouyang.(2021).Identifying environmental and health threats in unconventional oil and gas violations: evidence from Pennsylvania compliance reports.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,15. |
MLA | Bi, Dan,et al."Identifying environmental and health threats in unconventional oil and gas violations: evidence from Pennsylvania compliance reports".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021):15. |
入库方式: OAI收割
来源:数学与系统科学研究院
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