Which Moral Foundations Predict Willingness to Make Lifestyle Changes to Avert Climate Change in the USA?

نویسندگان

  • Janis L. Dickinson
  • Poppy McLeod
  • Robert Bloomfield
  • Shorna Allred
چکیده

Jonathan Haidt's Moral Foundations Theory identifies five moral axes that can influence human motivation to take action on vital problems like climate change. The theory focuses on five moral foundations, including compassion, fairness, purity, authority, and ingroup loyalty; these have been found to differ between liberals and conservatives as well as Democrats and Republicans. Here we show, based on the Cornell National Social Survey (USA), that valuations of compassion and fairness were strong, positive predictors of willingness to act on climate change, whereas purity had a non-significant tendency in the positive direction (p = 0.07). Ingroup loyalty and authority were not supported as important predictor variables using model selection ([Formula: see text]). Compassion and fairness were more highly valued by liberals, whereas purity, authority, and in-group loyalty were more highly valued by conservatives. As in previous studies, participants who were younger, more liberal, and reported greater belief in climate change, also showed increased willingness to act on climate change. Our research supports the potential importance of moral foundations as drivers of intentions with respect to climate change action, and suggests that compassion, fairness, and to a lesser extent, purity, are potential moral pathways for personal action on climate change in the USA.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Willingness to take action toward climate change in Agriculture Experts in Khuzestan Province.

Greenhouse emissions from agricultural as a consequence of human activities are causing climate change. Small changes in agricultural practices have a large potential for reducing greenhouse gas emissions. Intention of Agriculture Experts in order to mitigation climate change Can play an important role in finding appropriate solutions for each region in climate change mitigation and deliver the...

متن کامل

Earth as Humans’ Habitat: Global Climate Change and the Health of Populations

Human-induced climate change, with such rapid and continuing global-scale warming, is historically unprecedented and signifies that human pressures on Earth’s life-supporting natural systems now exceed the planet’s bio-geo-capacity. The risks from climate change to health and survival in populations are diverse, as are the social and political ramifications. Although attributing observed health...

متن کامل

Explanation of Security Sequences of Climate Change (Case Study: Iran’s Central Drainage Basin)

Efforts to provide security have always been of great importance to human being. In recent decades, the security issues of climate change have attracted attentions due to its sustainable consequences on the lives and civilization of humans. Among all countries, the ones which are placed in draught belt, like our country Iran, have hurt a lot because of low precipitations and also mismanagements...

متن کامل

Climate change effects on wheat yield and water use in oasis cropland

Agriculture of the inland arid region in Xinjiang depends on irrigation, which forms oasis of Northwest China. The production and water use of wheat, a dominant crop there, is significantly affected by undergoing climate variability and change. The objective of this study is to quantify inter-annual variability of wheat yield and water use from 1955 to 2006. The farming systems model APSIM (Agr...

متن کامل

Prediction of Climate Change Induced Hydrogeomorphology by using SDSM in CAN Watershed

Climate change is one of the most important challenges that has affected various parts of human life on Earth. In the present study, in order to investigate the climate change, three synoptic stations of Karaj, Mehrabad and Dashan Tepeh with the help of the statistical statistic downscaling model (SDSM) model were used to predict the statistical period of 2016-2045. Finally, the effects of clim...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 11  شماره 

صفحات  -

تاریخ انتشار 2016