Professur für Internationale Wirtschaftspolitik

[["dc.bibliographiccitation.firstpage","94"],["dc.bibliographiccitation.journal","Journal of Development Economics"],["dc.bibliographiccitation.lastpage","106"],["dc.bibliographiccitation.volume","117"],["dc.contributor.author","Kis-Katos, Krisztina"],["dc.contributor.author","Sparrow, Robert"],["dc.date.accessioned","2017-09-07T11:49:29Z"],["dc.date.available","2017-09-07T11:49:29Z"],["dc.date.issued","2015"],["dc.description.abstract","We measure the effects of trade liberalization over the period of 1993–2002 on regional poverty levels in 259 Indonesian districts, and investigate the labor market mechanisms behind these effects. The identification strategy relies on combining information on initial regional labor and product market structure with the exogenous tariff reduction schedule over four three-year periods. We add to the literature on local labor market effects of trade policies by distinguishing between tariffs for output markets and for intermediate inputs, and finding that poverty reduced especially in districts with a greater sector exposure to input tariff liberalization. Among the potential channels behind this effect, we show that low-skilled work participation and middle-skilled wages were more responsive to reductions in import tariffs on intermediate goods than to reductions in import tariffs on final outputs. These results point towards increasing firm competitiveness as a driving factor behind the beneficial poverty effects."],["dc.identifier.doi","10.1016/j.jdeveco.2015.07.005"],["dc.identifier.gro","3149669"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/6358"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0304-3878"],["dc.relation.workinggroup","RTG 2654: Sustainable Food Systems (Related Publications)"],["dc.title","Poverty, labor markets and trade liberalization in Indonesia"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","471"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Environmental and Resource Economics"],["dc.bibliographiccitation.lastpage","494"],["dc.bibliographiccitation.volume","54"],["dc.contributor.author","da Silva, Jorge Hargrave Gonçalves"],["dc.contributor.author","Kis-Katos, Krisztina"],["dc.date.accessioned","2017-09-07T11:49:42Z"],["dc.date.available","2017-09-07T11:49:42Z"],["dc.date.issued","2012"],["dc.description.abstract","We use under-explored municipality level datasets to assess the recent economic and policy determinants of deforestation in the Brazilian Amazon. We estimate yearly panel data models (from 2002 to 2009) for 457 municipalities in the region. The results show that recent deforestation is related to economic incentives, and especially to fluctuations in product (meat and soybean) prices. Moreover, we document that the increasing monitoring efforts of the Brazilian environmental police (IBAMA) were effective in reducing deforestation rates."],["dc.identifier.doi","10.1007/s10640-012-9610-2"],["dc.identifier.gro","3147378"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/4975"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0924-6460"],["dc.title","Economic Causes of Deforestation in the Brazilian Amazon: A Panel Data Analysis for the 2000s"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Kis-Katos, Krisztina"],["dc.date.accessioned","2018-02-27T14:39:37Z"],["dc.date.available","2018-02-27T14:39:37Z"],["dc.date.issued","2010"],["dc.description.abstract","This book investigates the effects of globalization on child labor from a theoretical and empirical perspective, focusing more strongly on the empirical evidence. From the multitude of aspects of globalization, the book concentrates on the effects propagated through the channel of goods trade. Trade liberalization affects child labor outcomes primarily through shifting goods and factor prices. In a developing country, these price changes can increase the demand for unskilled labor, but at the same time they can be expected to raise the income of the poor; the resulting income and substitution effects will also affect household decisions on child labor supply. After presenting the regulatory environment and an overview of the main factors leading to child labor, the book addresses supply side determinants by emphasizing the gender-specific differences in the trade-off between different forms of work and schooling (based on North Indian evidence). The subsequent analysis of the determinants of child labor in Indonesian small scale manufacturing explores the interplay of supply and demand side factors by addressing explicitly firm location decisions, and hence the demand for child labor. It demonstrates that increases in economic activity, although beneficial per se, can also raise the demand for child labor. The theoretical analysis on the effects of trade liberalization on child labor supply emphasizes the role of relative price changes and poverty. It argues that the redistributive effects of more open trade are reducing child labor incidence, but potentially not in the poorest countries; the presented empirical analysis (based on a country panel) supports this claim. The last part of the book addresses the causal effects of trade liberalization on regional child labor and schooling outcomes in Indonesia over the time-span of 1993-2002. It finds that child labor reduced significantly more in those Indonesian regions that were more strongly exposed to trade liberalization, which can be attributed to larger reductions in poverty in those regions. From a policy perspective, the book argues that child labor bans, induced by the threat of trade restrictions or otherwise, might be less effective in addressing the global child labor problem than other policy instruments. The forward-looking policy response to child labor should entail promoting consequential pro-poor policies, improving significantly the school system, and shifting the incentives in favor of education. Globalization, more specifically trade liberalization, can both increase and reduce child labor and thus its effects on working children are context specific. But if the poor can reap the benefits from the increasing production, while at the same time policies actively promote schooling, the reduction of trade barriers can contribute to the eradication of child labor."],["dc.format.extent","1-172"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/12654"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.title","Globalization and child labor"],["dc.type","thesis"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]

[["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","511"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Sustainability"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Rodríguez, Lily"],["dc.contributor.author","Cisneros, Elías"],["dc.contributor.author","Pequeño, Tatiana"],["dc.contributor.author","Fuentes, Maria"],["dc.contributor.author","Zinngrebe, Yves"],["dc.date.accessioned","2019-07-09T11:45:09Z"],["dc.date.available","2019-07-09T11:45:09Z"],["dc.date.issued","2018"],["dc.description.abstract","Building resilient sustainable social-ecological systems (SES) requires communities to enhance their adaptive capacities. Communal participative land-use planning (Zonificación Participativa Comunal—ZPC) is a tool designed for communities to integrating local and scientific knowledge to sustainably organize and manage their SES. Between 2006 and 2011, a ZPC was developed with communities in the buffer zone of Cordillera Azul National Park (Peru), where rapid demographic changes are converting pre-montane seasonally dry forest into agricultural land. Herein, we analyse how the ZPC enhanced adaptive capacity, enabling the SES to cope with environmental, political and economic changes. Based on qualitative, semi-structured interviews, communities are analysed along their capacities in the dimensions social capital, learning, adaptive management and governance. An analysis of yearly high-resolution forest cover data supports our findings. Deforestation activities in biologically sensitive zones decreased rapidly during the time of the ZPC implementation. We find that particularly the long-term presence of the bridging institution and the continuous testing and reflection of the integrated “hybrid knowledge” enabled communities to develop adaptive capacities. The analysis of ZPC our results reveals the enabling conditions for promoting the learning process to develop a sustainable land-use management in the context of migration and rapid changes."],["dc.identifier.doi","10.3390/su10020511"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15045"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59169"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.publisher","MDPI"],["dc.relation.eissn","2071-1050"],["dc.relation.issn","2071-1050"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.subject.ddc","630"],["dc.title","Building Adaptive Capacity in Changing Social-Ecological Systems: Integrating Knowledge in Communal Land-Use Planning in the Peruvian Amazon"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","International Journal of Data Science and Analytics"],["dc.contributor.author","Kant, Gillian"],["dc.contributor.author","Wiebelt, Levin"],["dc.contributor.author","Weisser, Christoph"],["dc.contributor.author","Kis-Katos, Krisztina"],["dc.contributor.author","Luber, Mattias"],["dc.contributor.author","Säfken, Benjamin"],["dc.date.accessioned","2022-06-01T09:40:08Z"],["dc.date.available","2022-06-01T09:40:08Z"],["dc.date.issued","2022"],["dc.description.abstract","Abstract Conspiracy theories have seen a rise in popularity in recent years. Spreading quickly through social media, their disruptive effect can lead to a biased public view on policy decisions and events. We present a novel approach for LDA-pre-processing called Iterative Filtering to study such phenomena based on Twitter data. In combination with Hashtag Pooling as an additional pre-processing step, we are able to achieve a coherent framing of the discussion and topics of interest, despite of the inherent noisiness and sparseness of Twitter data. Our novel approach enables researchers to gain detailed insights into discourses of interest on Twitter, allowing them to identify tweets iteratively that are related to an investigated topic of interest. As an application, we study the dynamics of conspiracy-related topics on US Twitter during the last four months of 2020, which were dominated by the US-Presidential Elections and Covid-19. We monitor the public discourse in the USA with geo-spatial Twitter data to identify conspiracy-related contents by estimating Latent Dirichlet Allocation (LDA) Topic Models. We find that in this period, usual conspiracy-related topics played a marginal role in comparison with dominating topics, such as the US-Presidential Elections or the general discussions about Covid-19. The main conspiracy theories in this period were the ones linked to “Election Fraud” and the “Covid-19-hoax.” Conspiracy-related keywords tended to appear together with Trump-related words and words related to his presidential campaign."],["dc.identifier.doi","10.1007/s41060-022-00321-4"],["dc.identifier.pii","321"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/108641"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-572"],["dc.relation.eissn","2364-4168"],["dc.relation.issn","2364-415X"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter"],["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","rssa.12866"],["dc.bibliographiccitation.journal","Journal of the Royal Statistical Society: Series A (Statistics in Society)"],["dc.contributor.author","Seufert, Jacqueline D."],["dc.contributor.author","Python, Andre"],["dc.contributor.author","Weisser, Christoph"],["dc.contributor.author","Cisneros, Elías"],["dc.contributor.author","Kis‐Katos, Krisztina"],["dc.contributor.author","Kneib, Thomas"],["dc.date.accessioned","2022-09-01T09:50:45Z"],["dc.date.available","2022-09-01T09:50:45Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1111/rssa.12866"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/113797"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-597"],["dc.relation.eissn","1467-985X"],["dc.relation.issn","0964-1998"],["dc.title","Mapping ex ante risks of COVID‐19 in Indonesia using a Bayesian geostatistical model on airport network data"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","71"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","The Journal of International Trade & Economic Development"],["dc.bibliographiccitation.lastpage","92"],["dc.bibliographiccitation.volume","16"],["dc.contributor.author","Kis-Katos, Krisztina"],["dc.date.accessioned","2017-09-07T11:49:59Z"],["dc.date.available","2017-09-07T11:49:59Z"],["dc.date.issued","2007"],["dc.description.abstract","This paper considers the effects of trade liberalization on child labor that arises out of subsistence needs. It argues that favorable income effects are most likely to reduce the need for child labor in the South, even when export goods have a necessity character. However, in very poor economies, aggregate hours of child labor can also increase as a result of more open trade. Although the poorest families are the ones who benefit the most from trade in a Heckscher - Ohlin setting, their income gains might not be high enough to make them withdraw their children from work, while adverse income effects can raise the incidence of child labor among the less poor. The paper provides empirical support for the argument by finding that in a country panel, increases in trade openness are associated with significantly smaller reductions in child labor among the poorest food exporters than among food exporters on average."],["dc.identifier.doi","10.1080/09638190601165558"],["dc.identifier.gro","3147490"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5030"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","0963-8199"],["dc.title","Does globalization reduce child labor?"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0121544"],["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","PLOS ONE"],["dc.bibliographiccitation.lastpage","19"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Börner, Jan"],["dc.contributor.author","Kis-Katos, Krisztina"],["dc.contributor.author","Hargrave, Jorge"],["dc.contributor.author","König, Konstantin"],["dc.date.accessioned","2017-09-07T11:49:59Z"],["dc.date.available","2017-09-07T11:49:59Z"],["dc.date.issued","2015"],["dc.description.abstract","Regulatory enforcement of forest conservation laws is often dismissed as an ineffective approach to reducing tropical forest loss. Yet, effective enforcement is often a precondition for alternative conservation measures, such as payments for environmental services, to achieve desired outcomes. Fair and efficient policies to reducing emissions from deforestation and forest degradation (REDD) will thus crucially depend on understanding the determinants and requirements of enforcement effectiveness. Among potential REDD candidate countries, Brazil is considered to possess the most advanced deforestation monitoring and enforcement infrastructure. This study explores a unique dataset of over 15 thousand point coordinates of enforcement missions in the Brazilian Amazon during 2009 and 2010, after major reductions of deforestation in the region. We study whether local deforestation patterns have been affected by field-based enforcement and to what extent these effects vary across administrative boundaries. Spatial matching and regression techniques are applied at different spatial resolutions. We find that field-based enforcement operations have not been universally effective in deterring deforestation during our observation period. Inspections have been most effective in reducing large-scale deforestation in the states of Mato Grosso and Pará, where average conservation effects were 4.0 and 9.9 hectares per inspection, respectively. Despite regional and actor-specific heterogeneity in inspection effectiveness, field-based law enforcement is highly cost-effective on average and might be enhanced by closer collaboration between national and state-level authorities."],["dc.identifier.doi","10.1371/journal.pone.0121544"],["dc.identifier.gro","3147488"],["dc.identifier.pmid","25875656"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5029"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1932-6203"],["dc.title","Post-Crackdown Effectiveness of Field-Based Forest Law Enforcement in the Brazilian Amazon"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]