Cisneros, Elías

[["dc.bibliographiccitation.artnumber","102572"],["dc.bibliographiccitation.journal","Journal of Environmental Economics and Management"],["dc.bibliographiccitation.volume","111"],["dc.contributor.author","Cisneros, Elías"],["dc.contributor.author","Börner, Jan"],["dc.contributor.author","Pagiola, Stefano"],["dc.contributor.author","Wunder, Sven"],["dc.date.accessioned","2022-09-01T09:49:41Z"],["dc.date.available","2022-09-01T09:49:41Z"],["dc.date.issued","2022"],["dc.description.abstract","Conditional incentives are a promising complementary approach to conserve tropical forests, for example, in multiple-use protected areas. In this paper we analyze the environmental impacts of Bolsa Floresta, a forest conservation program that combines direct conditional payments with livelihood-focused investments in 15 multiple-use reserves in the Brazilian state of Amazonas. We use grid-based data, nearest-neighbor matching, and panel data econometrics to compare three forest-related program outcomes – deforestation, degradation, and fires – of participating and non-participating reserve areas. Forest threats were low before and after treatment, because the program prioritized low-pressure sites. Thus, we find significant but small additional conservation effects from the implementation of the program. Notwithstanding, treatment effects are relatively larger in areas with higher deforestation pressure and higher potential agricultural income. Our findings add to the growing body of evidence showing that adverse spatial targeting of conservation incentives, i.e. disproportionally enrolling low–pressure sites, is a prime cause for the low additionality found in rigorous impact evaluations of many existing initiatives."],["dc.description.sponsorship"," http://dx.doi.org/10.13039/100007843 Norwegian Agency for Development Cooperation"],["dc.description.sponsorship"," http://dx.doi.org/10.13039/501100001659 German Research Foundation"],["dc.description.sponsorship"," http://dx.doi.org/10.13039/501100002347 Federal Ministry of Education and Research Bonn Office"],["dc.identifier.doi","10.1016/j.jeem.2021.102572"],["dc.identifier.pii","S0095069621001200"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/113497"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-597"],["dc.relation","SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien)"],["dc.relation","SFB 990 | C | C10: Lokalisierte Umwelt- und Landnutzungspolitiken, Umwandlung zu Palmöl und Abholzung"],["dc.relation.issn","0095-0696"],["dc.rights","CC BY-NC-ND 4.0"],["dc.rights.uri","https://www.elsevier.com/tdm/userlicense/1.0/"],["dc.subject.gro","sfb990_journalarticles"],["dc.title","Impacts of conservation incentives in protected areas: The case of Bolsa Floresta, Brazil"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","045004"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Environmental Research Letters"],["dc.bibliographiccitation.volume","14"],["dc.contributor.affiliation","Giudice, Renzo;"],["dc.contributor.affiliation","Börner, Jan;"],["dc.contributor.affiliation","Wunder, Sven;"],["dc.contributor.affiliation","Cisneros, Elias;"],["dc.contributor.author","Giudice, Renzo"],["dc.contributor.author","Börner, Jan"],["dc.contributor.author","Wunder, Sven"],["dc.contributor.author","Cisneros, Elias"],["dc.date.accessioned","2020-12-10T18:15:58Z"],["dc.date.available","2020-12-10T18:15:58Z"],["dc.date.issued","2019"],["dc.date.updated","2022-02-09T13:18:59Z"],["dc.description.abstract","Abstract Payments for ecosystem services are becoming popular components in strategies to conserve ecosystems and biodiversity, but their effectiveness remains poorly documented. Here we present counterfactual-based evidence on the conservation outcomes of the pilot stage of Peru’s National Forest Conservation Program (NFCP). The NFCP provides direct payments to indigenous communities in the Amazon, conditional on avoided deforestation and the adoption of sustainable production systems. Using a spatially explicit quasi-experimental evaluation design, we show that the payment scheme has achieved only small conservation impacts, in terms of avoided deforestation. Counter-intuitively, these materialized largely on land not enrolled for conservation, due to spillover effects. Conservation effects on contracted land were negligible because communities were not chosen according to high deforestation threats, and they self-enrolled low-pressure forest areas for conservation. Occasional non-sanctioned contract incompliance contributed to these outcomes. We highlight implications for the design and implementation of up-scaled national conservation programs. Methodologically, we demonstrate the important role of choosing the appropriate spatial scale in evaluating area-based conservation measures."],["dc.description.abstract","Video Abstract"],["dc.description.sponsorship","Deutscher Akademischer Austauschdienst https://doi.org/10.13039/501100001655"],["dc.description.sponsorship","Direktoratet for Utviklingssamarbeid https://doi.org/10.13039/100007843"],["dc.description.sponsorship","Robert Bosch Stiftung https://doi.org/10.13039/501100001646"],["dc.description.sponsorship","Bundesministerium für Bildung und Forschung https://doi.org/10.13039/501100002347"],["dc.identifier.doi","10.1088/1748-9326/aafc83"],["dc.identifier.eissn","1748-9326"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17237"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/75010"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","IOP Publishing"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0"],["dc.title","Selection biases and spillovers from collective conservation incentives in the Peruvian Amazon"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","102178"],["dc.bibliographiccitation.journal","Forest Policy and Economics"],["dc.bibliographiccitation.volume","116"],["dc.contributor.author","Correa, Juliano"],["dc.contributor.author","Cisneros, Elías"],["dc.contributor.author","Börner, Jan"],["dc.contributor.author","Pfaff, Alexander"],["dc.contributor.author","Costa, Marcelo"],["dc.contributor.author","Rajão, Raoni"],["dc.date.accessioned","2021-06-16T05:59:34Z"],["dc.date.available","2021-06-16T05:59:34Z"],["dc.date.issued","2020"],["dc.identifier.doi","10.1016/j.forpol.2020.102178"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87226"],["dc.relation.issn","1389-9341"],["dc.title","Evaluating REDD+ at subnational level: Amazon fund impacts in Alta Floresta, Brazil"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0136402"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","PLoS One"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Cisneros, Elías"],["dc.contributor.author","Zhou, Sophie Lian"],["dc.contributor.author","Börner, Jan"],["dc.date.accessioned","2021-06-16T05:59:40Z"],["dc.date.available","2021-06-16T05:59:40Z"],["dc.date.issued","2015"],["dc.description.abstract","Deforestation in the Brazilian Amazon has dropped substantially after a peak of over 27 thousand square kilometers in 2004. Starting in 2008, the Brazilian Ministry of the Environment has regularly published blacklists of critical districts with high annual forest loss. Farms in blacklisted districts face additional administrative hurdles to obtain authorization for clearing forests. In this paper we add to the existing literature on evaluating the Brazilian anti-deforestation policies by specifically quantifying the impact of blacklisting on deforestation. We first use spatial matching techniques using a set of covariates that includes official blacklisting criteria to identify control districts. We then explore the effect of blacklisting on change in deforestation in double difference regressions with panel data covering the period from 2002 to 2012. Multiple robustness checks are conducted including an analysis of potential causal mechanisms behind the success of the blacklist. We find that the blacklist has considerably reduced deforestation in the affected districts even after controlling for the potential mechanism effects of field-based enforcement, environmental registration campaigns, and rural credit."],["dc.identifier.doi","10.1371/journal.pone.0136402"],["dc.identifier.pmid","26398096"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/87227"],["dc.language.iso","en"],["dc.relation.eissn","1932-6203"],["dc.title","Naming and Shaming for Conservation: Evidence from the Brazilian Amazon"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]