Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. In an attempt to disentangle the impact of sanitary and phytosanitary (SPS) measures on trade patterns, we estimate a Heckman selection model on the HS4 disaggregated level of trade. We find that aggregated SPS measures constitute barriers to agricultural and food trade consistently to all exporters. But conditional on market entry, trade flows are positively affected by SPS measures. Additionally, we find that SPS measures related to conformity assessment hamper market entry and trade flows, while SPS measures related to product characteristics pose an entry barrier but increase bilateral trade flows conditional on meeting the standard. Terms of use: Documents in EconStor mayJEL Code: C23, F14, Q17.
In recent years, the economic consequences of disasters and global climate change have received increasing attention, most recently thanks to the activism of young people around the world. The increased impacts of disasters and climate change have significant effects on human and economic development, particularly on the distribution of income and wealth, and on poverty. These impacts raise serious economic, political and social concerns, which have generated a new interest in research both on the factors that contribute to increased poverty and inequality, in this context of disasters and extreme weather, and on the policies designed to reduce them. This special issue, "Poverty, Inequality, and Disasters," consists mostly of papers presented in the CESifo Venice Summer Institute Workshop on Poverty, Inequality and their Associations with Disasters and Climate Change, held in June 2019 on the island of San Servolo in the Bay of Venice, Italy. The empirical analysis of how extreme natural hazard events impact the poor, and affect the distribution of economic outcomes was the main theme of the workshop. Based on much previous work they have undertaken for the World Bank, Hallegatte and coauthors review the literature on poverty and disasters and describe the plethora of evidence that it is the poor that are disproportionally affected by disasters. They further describe the roles of exposure, vulnerability and socioeconomic resilience as factors explaining the vicious circle they identify, whereby disasters increase poverty, and the poor are more vulnerable to disasters. In their telling, public policy should therefore consider poverty reduction as a credible disaster risk management strategy, and vice versa. Aldrich and Tan explore the water resilience of Mexican households after a major earthquake in "Oasis of resilience?". Their empirical investigation of rain water harvesting systems takes place in a high poverty peripheral community in Mexico City. In exploring the drivers of demand, adoption and speed of diffusion of a policy intervention for increased rain water harvesting, they find that vulnerability plays a major role.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.