Using both objective and subjective indicators to investigate the impacts of coal mining on wellbeing of host communities: a case-study in Shanxi Province, China

Li, Qian, Stoeckl, Natalie, King, David, and Gyuris, Emma (2018) Using both objective and subjective indicators to investigate the impacts of coal mining on wellbeing of host communities: a case-study in Shanxi Province, China. Social Indicators Research, 137 (3). pp. 895-921.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://doi.org/10.1007/s11205-017-1624-2
 
1
1


Abstract

This paper uses both objective and subjective indicators to investigate the impacts of coal mining on the wellbeing of host communities. It also looks at the relationship between these two measurements of wellbeing. Both objective and subjective indicators show that coal mining has no obvious impact on family income, but negative impacts on air quality. Subjective wellbeing indicators also reveal the negative impacts of coal mining on water safety, inflation rate, price of necessities and income disparity. The only positive impact associated with coal mining is the improvement of housing conditions, revealed by only objective indicators. Some objective indicators are good predictors of subjective wellbeing indicators (e.g. income and air quality) using both aggregated data and individual data, others not (e.g. housing and education). The inconsistency between objective and subjective indicators might be attributed to scope issues, scale discordance etc. This paper empirically confirms both sets of indicators are needed when measuring wellbeing, and illustrates approaches to examine the relationship between objective and subjective wellbeing indicators.

Item ID: 48776
Item Type: Article (Research - C1)
ISSN: 1573-0921
Keywords: coal mining; wellbeing; objective indicators; subjective indicators
Funders: James Cook University (JCU), China Scholarship Council (CSC), Sun-Yat sen University, China
Date Deposited: 25 Apr 2017 22:53
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050205 Environmental Management @ 50%
14 ECONOMICS > 1402 Applied Economics > 140205 Environment and Resource Economics @ 50%
SEO Codes: 96 ENVIRONMENT > 9606 Environmental and Natural Resource Evaluation > 960699 Environmental and Natural Resource Evaluation not elsewhere classified @ 60%
91 ECONOMIC FRAMEWORK > 9199 Other Economic Framework > 919902 Ecological Economics @ 40%
Downloads: Total: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page