气候变化领域集成服务门户(CCPortal): Assessing multidimensional sustainability: Lessons from Brazil’s social protection programs

CCPortal

DOI	10.1073/pnas.1920998117
	Assessing multidimensional sustainability: Lessons from Brazil’s social protection programs
	Dyngeland C.; Oldekop J.A.; Evans K.L.
发表日期	2020
ISSN	0027-8424
起始页码	20511
结束页码	20519
卷号	117 期号:34
英文摘要	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 between social protection investment and outcomes related to sustainable development goals (SDGs): "no poverty" (SDG 1), "zero hunger" (SDG 2), and "health and well being" (SDG 3). We also assess potential perverse outcomes arising from agricultural development impacting "climate action" (SDG 13) and "life on land" (SDG 15) via clearance of natural vegetation. Despite increasing daily per capita protein and kilocalorie production, summed ZH investment did not alleviate child malnutrition or infant mortality and negligibly influenced multidimensional poverty. Higher investment increased natural vegetation cover in some biomes but increased losses in the Cerrado and especially the Pampa. Effects varied substantially across subprograms. Conditional cash transfer (Bolsa Familia [BF]) was mainly associated with nonbeneficial impacts but increased protein production and improved educational participation in some states. The National Program to Strengthen Family Farming (PRONAF) was typically associated with increased food production (protein and calories), multidimensional poverty alleviation, and changes in natural vegetation. Our results inform policy development by highlighting successful elements of Brazil’s ZH program, variable outcomes across divergent food security dimensions, and synergies and trade-offs between sustainable development goals, including environmental protection. © 2020 National Academy of Sciences. All rights reserved.
英文关键词	Environmental impact; Food security; Impact estimation; Land use change; Rural development
语种	英语
scopus关键词	Article; Brazil; climate change; environmental protection; environmental sustainability; food industry; food insecurity; food security; human; infant mortality; investment; malnutrition; poverty; priority journal; quasi experimental study; risk factor; social aspects and related phenomena; social protection; vegetation; catering service; infant; nutritional disorder; preschool child; public policy; rain forest; sustainable development; Brazil; Child Nutrition Disorders; Child, Preschool; Food Supply; Humans; Infant; Infant Mortality; Poverty; Public Policy; Rainforest; Sustainable Development
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160837
作者单位	Dyngeland, C., Department of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, United Kingdom; Oldekop, J.A., Global Development Institute, University of Manchester, Manchester, M13 9PL, United Kingdom; Evans, K.L., Department of Animal and Plant Sciences, University of Sheffield, Sheffield, S10 2TN, United Kingdom
推荐引用方式 GB/T 7714	Dyngeland C.,Oldekop J.A.,Evans K.L.. Assessing multidimensional sustainability: Lessons from Brazil’s social protection programs[J],2020,117(34).
APA	Dyngeland C.,Oldekop J.A.,&Evans K.L..(2020).Assessing multidimensional sustainability: Lessons from Brazil’s social protection programs.Proceedings of the National Academy of Sciences of the United States of America,117(34).
MLA	Dyngeland C.,et al."Assessing multidimensional sustainability: Lessons from Brazil’s social protection programs".Proceedings of the National Academy of Sciences of the United States of America 117.34(2020).