2020
DOI: 10.1073/pnas.1920998117
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Assessing multidimensional sustainability: Lessons from Brazil’s social protection programs

Abstract: Examining linkages among multiple sustainable development outcomes is key for understanding sustainability transitions. Yet rigorous evidence on social and environmental outcomes of sustainable development policies remains scarce. We conduct a national-level analysis of Brazil’s flagship social protection program, Zero Hunger (ZH), which aims to reduce food insecurity and poverty. Using data from rural municipalities across Brazil and quasi-experimental causal inference techniques, we assess relationships betw… Show more

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Cited by 23 publications
(32 citation statements)
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References 58 publications
(58 reference statements)
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“…Infant and late fetal mortality is often used to assess the national and social protection levels ( 15 ). If miR-26a predicts septic death, it may help doctors to take steps in a timely manner, saving lives.…”
Section: Discussionmentioning
confidence: 99%
“…Infant and late fetal mortality is often used to assess the national and social protection levels ( 15 ). If miR-26a predicts septic death, it may help doctors to take steps in a timely manner, saving lives.…”
Section: Discussionmentioning
confidence: 99%
“…Since 1995, the National Program for Strengthening Family Agriculture (Programa Nacional de Fortalecimento da Agricultura Familiar -PRONAF) has been implemented, an agricultural public policy fundamental to this type of agriculture, which provides differentiated financing conditions (Bühler et al, 2016;Dyngeland et al, 2020), providing the farmer with the opportunity to expand production and/or increase productivity. On the other hand, the resources arising from this financing are largely used in the purchase of pesticides (Grisa, 2012;Bühler et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…Some studies find that social assistance may create incentives to stay and invest in locations and livelihoods that may become unviable in the future under increased climate risks, when the long-term impacts of climate change are not considered in design and planning phases (Kuriakose et al 2013;Béné et al 2014;FAO and Red Cross Red Crescent Climate Centre 2019;Solórzano and Cárdenes 2019;Aleksandrova 2020). Moreover, some studies find cash transfers and input subsidy programmes to be associated with increased natural resource extraction, land clearances, loss of natural vegetation cover, deforestation, and soil degradation (Alix-Garcia et al 2013;Weldegebriel and Prowse, 2013;Haug and Wold 2017;Dyngeland et al 2020); for example, through cash access and new inputs enabling intensification of agricultural production. In contrast, other studies find social assistance to be associated with decreased natural resource exploitation, by reducing dependence on revenues linked to environmental resources (Malerba 2020).…”
Section: Maladaptationmentioning
confidence: 99%
“…Access to social assistance programmes, especially in the form of cash transfers, public works schemes, and crop insurance, has been associated with agricultural intensification, shifts from subsistence to commercial crop production (e.g. from rice to cotton cultivation), mono-cropping, and in turn increased dependencies on high-cost inputs and vulnerabilities to price fluctuations, as well increased exploitation of water resources and biodiversity loss (Panda 2013; Jha et al 2017;Asfaw and Davis 2018;Godfrey-Wood and Flower 2018;Dyngeland et al 2020;Yiridomoh et al 2021). Some authors note that public works programmes might have maladaptive effects, in that public works projects may be linked to large-scale infrastructure development, intensified/expanded agricultural production (including commercial crops), and in some cases re-greening initiatives such as reforestation/tree planting, which in some cases could lead to negative ecological impacts; for instance, increased water use through expansion and intensification of irrigation and cultivated land area (Panda 2013;del Ninno et al 2016;Steinbach et al 2016;Jha et al 2017;Asfaw and Davis 2018;Godfrey-Wood and Flower 2018;Kaur et al 2019;Bowen et al 2020;Dyngeland et al 2020;Fischer 2020;Norton et al 2020;Yiridomoh et al 2021).…”
Section: Maladaptationmentioning
confidence: 99%