The response of illegal mining to revealing its existence
| dc.audience | Researchers | eng |
| dc.audience | Students | eng |
| dc.audience | Teachers | eng |
| dc.contributor.institucion | Universidad del Rosario | es |
| dc.coverage.ciudad | Bogotá | es |
| dc.creator | Saavedra, Santiago | |
| dc.date.accessioned | 2022-05-17T20:50:10Z | |
| dc.date.available | 2022-05-17T20:50:10Z | |
| dc.date.created | 2022-05-17 | |
| dc.description | New monitoring technologies can help curb illegal activities by reducing information asymmetries between enforcing and monitoring government agents. I created a novel dataset using machine learning predictions on satellite imagery that detects illegal mining. Then I disclosed the predictions to government agents to study the response of illegal activity. I randomly assigned municipalities to one of four groups: (1) information to the observer (local government) of potential mine locations in his jurisdiction; (2) information to the enforcer (National government) of potential mine locations; (3) information to both observer and enforcer, and (4) a control group, where I informed no one. The effect of information is relatively similar regardless of who is informed: in treated municipalities, illegal mining is reduced by 11\% in the disclosed locations and surrounding areas. However, when accounting for negative spillovers --- increases in illegal mining in areas not targeted by the information --- the net reduction is only 7\%. These results illustrate the benefits of new technologies for building state capacity and reducing illegal activity. | es |
| dc.format.extent | 48 páginas | |
| dc.format.mimetype | ||
| dc.identifier.uri | https://repositorio.redinvestigadores.org/handle/Riec/111 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Documentos de Trabajo | spa |
| dc.relation.number | No. 89 | |
| dc.relation.repec | https://ideas.repec.org/p/rie/riecdt/89.html | |
| dc.relation.uri | https://repository.urosario.edu.co/bitstream/handle/10336/34088/dt282R.pdf?sequence=3&isAllowed=y | |
| dc.rights.accessRights | Open Access | eng |
| dc.rights.cc | Atribucion-NoComercial-CompartirIgual CC BY-NC-SA 4.0 | |
| dc.rights.spa | Acceso abierto | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | eng |
| dc.subject.jel | H26 - Tax Evasion and Avoidance | es |
| dc.subject.jel | K42 - Illegal Behavior and the Enforcement of Law | es |
| dc.subject.jel | O13 - Agriculture; Natural Resources; Energy; Environment; Other Primary Products | es |
| dc.subject.jel | O17 - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements | es |
| dc.subject.jel | Q53 - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste Recycling | es |
| dc.subject.keyword | Illegal mining | eng |
| dc.subject.keyword | Monitoring Technology | eng |
| dc.subject.keyword | Colombia | eng |
| dc.subject.lemb | <LEMB> | |
| dc.title | The response of illegal mining to revealing its existence | es |
| dc.type | Working paper | eng |
| dc.type.hasversion | Published Version | |
| dc.type.spa | Documentos de Trabajo | spa |
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