Using paired survey (N = 533) and in-depth interview (N = 87) data from the Resilience in Survivors of Katrina (RISK) Project—a fifteen-year (2003–2018) panel study of low-income mothers affected by Hurricane Katrina, this study examines how peri- and post-disaster factors influence long-run perceptions of disaster recovery in marginalized populations.
This study used China’s provincial panel dataset during period 2003–2015 and employed the “Threshold-STIRPAT” model to investigate the impact of urbanization on carbon emissions under different urbanization thresholds, with the intermediate effect model combined.
In this paper, two studies examine how belief in the climate-induced migration phenomenon could influence Americans’ opinions on climate change and immigration.
Using panel data from 1996 to 2019, this paper explores the heterogeneous effect of urbanization and nonrenewable energy consumption on the environment in 54 African nations.
Using panel data from 2000 to 2018 for 992 counties located in humid zone in the south of China, this paper analyses the impact of seasonal rainfall fluctuations on rural poverty.
The authors combine data from household surveys, key informant interviews, and secondary sources related to regional disaster, demographic, resource, and economic trends between 1990 and 2020 from north central and central dryland Namibia to investigate (i) human migration flows and the influence of climate hazards on these flows and (ii) the benefits and dis-benefits of migration in supporting climate change adaptation, from the perspective of migrants (personal factors and intervening obstacles), areas of origin, and areas of destination.
The authors conducted a household survey in Nuevo Leon, Mexico, to understand the extent to which climate change perceptions and the sociodemographic characteristics of households influence their reported mitigation performances and their perceived mitigation efforts.
The authors expand the STIRPAT model to empirically analyse the effects of China’s urbanization and urban sprawl on CO2 emissions from 1997 to 2018 in order to identify policy recommendations for addressing both how to reduce China’s carbon and how to encourage future low-carbon development.
This paper makes an attempt to examine whether poverty is a factor determining forest degradation in the state of Odisha in India by using micro level data.
Because of the impacts of the growing population in Lebanon together with the changing climate, the Bekaa Valley’s water resources is in a precarious situation. In this study, the impacts on water balance and water quality for a 2013 baseline and future scenarios are simulated using the Water Evaluation And Planning model.
