TY - GEN
T1 - Likelihood of adoption of arsenic-mitigation technologies under perceived risks to health, income, and social discrimination to arsenic contamination
AU - Singh, S. K.
AU - Taylor, R. W.
N1 - Publisher Copyright:
© 2018, CRC Press/Balkema. All rights reserved.
PY - 2018
Y1 - 2018
N2 - This study aims to assess the likelihood of adoption of arsenic-mitigation technologies under perceived risks in an Indian rural region that confronts severe and chronic groundwater arsenic contamination. A total of 340 households were surveyed in three arsenic-affected villages of Bihar, India. The average population perceives greater health risks and economic risks to arsenic-contaminated groundwater than social discrimination risk, therefore, are willing to adopt arsenic-mitigation technologies. Caste, education, income, sanitation practices, people’s prioritization of socio-environmental problems, arsenic awareness, and social capital, were the strongest predictors of perceived economic risk. The same variables as above (with the exception of income, sanitation practices, and social capital) with additional factors like agricultural landholdings, and social trust, were the strongest predictors of perceived health risks. However, in the case of perceived social discrimination risk, the respondents’ agricultural landholdings, people’s prioritization of social problems, arsenic awareness, and social capital, were the strongest predictors.
AB - This study aims to assess the likelihood of adoption of arsenic-mitigation technologies under perceived risks in an Indian rural region that confronts severe and chronic groundwater arsenic contamination. A total of 340 households were surveyed in three arsenic-affected villages of Bihar, India. The average population perceives greater health risks and economic risks to arsenic-contaminated groundwater than social discrimination risk, therefore, are willing to adopt arsenic-mitigation technologies. Caste, education, income, sanitation practices, people’s prioritization of socio-environmental problems, arsenic awareness, and social capital, were the strongest predictors of perceived economic risk. The same variables as above (with the exception of income, sanitation practices, and social capital) with additional factors like agricultural landholdings, and social trust, were the strongest predictors of perceived health risks. However, in the case of perceived social discrimination risk, the respondents’ agricultural landholdings, people’s prioritization of social problems, arsenic awareness, and social capital, were the strongest predictors.
UR - http://www.scopus.com/inward/record.url?scp=85079217510&partnerID=8YFLogxK
U2 - 10.1201/9781351046633-208
DO - 10.1201/9781351046633-208
M3 - Conference contribution
AN - SCOPUS:85079217510
SN - 9781138486096
T3 - Environmental Arsenic in a ChangingWorld - 7th International Congress and Exhibition Arsenic in the Environment, 2018
SP - 525
EP - 529
BT - Environmental Arsenic in a ChangingWorld - 7th International Congress and Exhibition Arsenic in the Environment, 2018
A2 - Zhu, Yong-Guan
A2 - Zhu, Yong-Guan
A2 - Guo, Huaming
A2 - Guo, Huaming
A2 - Bhattacharya, Prosun
A2 - Bhattacharya, Prosun
A2 - Bundschuh, Jochen
A2 - Ahmad, Arslan
A2 - Ahmad, Arslan
A2 - Ahmad, Arslan
A2 - Naidu, Ravi
A2 - Naidu, Ravi
PB - CRC Press/Balkema
T2 - 7th International Congress and Exhibition Arsenic in the Environment, 2018
Y2 - 1 July 2018 through 6 July 2018
ER -
