Does poverty cause forest degradation? Evidence from a poor state in India
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.
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.
Provides readers theoretical perspectives (both macro and micro), data, methods and research findings that would help readers better understand the complexities within population-environment connections.
In this research, the authors propose a supervised machine learning approach, Random Forest, for population density appraisal in a large and dense developing city.
This article provides an easily readable summary of the Simkin et al. paper (https://doi.org/10.1073/pnas.2117297119), with discussion of its important findings and implications.
The study provides evidence that rapidly urbanizing regions are increasingly posing a serious and growing threat to global biodiversity by using a recently developed suite of land-use projections to provide an assessment of projected habitat that will be lost to urban land expansion for 30,393 species of terrestrial vertebrates from 2015 to 2050 across three shared socioeconomic pathway (SSP) scenarios.
This study considered the combined influence from external regions and examines urbanization and its influence on vegetation carbon pool (vegetation carbon storage and NPP) from the perspective of tele-coupling based utilising domestic trade data, land-use images, vegetation carbon densities, NPP data, and using the MRIO model and spatial analysis.
This study examines the impacts of rubber expansion on the migration of rural labor using two-wave panel data collected from more than 600 smallholder rubber farmers in southwest China.
Using survey data were collected from 657 married women between April and July 2018, the study investigates whether fertility decline was significantly higher in neighborhoods containing known Zika cases, compared to unexposed neighborhoods in the city state of Singapore.
By exploring the relationship between economic growth, urbanization, energy consumption, trade openness, human capital and ecological footprints for the period 1972–2018 in Bangladesh, this study has examined the validity of the EKC hypothesis.
Using Landsat images covering the area for 1986, 2000 and 2016, and social surveys (questionnaire administration and key informant interviews), this study examined change in the form and attributes of areas under different land cover in a relatively homogenous Yoruba ethnic group community in Southwestern Nigeria.