Chinese Journal of Sociology ›› 2011, Vol. 31 ›› Issue (1): 35-52.

• Articles • Previous Articles     Next Articles

Constructing a Model for Measuring Environmental Concern: Based on the 2003 CGSS Dataset

Author 1：Lu Chuntian，Department of Sociology, Michigan State University; Author 2：Hong Dayong，Department of Sociology， Renmin University of  China；Sociology Division ,eInstitute of Shanghai University.     

  1. Author 1：Lu Chuntian，Department of Sociology, Michigan State University; Author 2：Hong Dayong，Department of Sociology， Renmin University of  China；Sociology Division ,eInstitute of Shanghai University.
  • Online:2011-01-20 Published:2011-01-20
  • Contact: Author 1：Lu Chuntian，Department of Sociology, Michigan State University; E-mail:luchunti@msu.edu
  • About author:Author 1：Lu Chuntian，Department of Sociology, Michigan State University.） Email: luchunti@msu.edu； Author 2：Hong Dayong，Department of Sociology， Renmin University of China；Sociology Division ，eInstitute of Shanghai University.
  • Supported by:

    This research  belongs to a preliminary achievement of 2007 “Build Environmental Friendly and Resource Saving Society” (N0．07JJD840197)，the project which  supported  by the MOE Project of Key Research Institute of Humanities and Social Sciences in Universities of China.

PDF

584

Cited

11

Abstract:

The debate on the dimensionality of environmental concern is still going on. Inferring from the definition of the concept of
environmental concern, this study did a CFA analysis of the empirical data collected in the 2003 Chinese General Social Survey to verify the
 measurement of environmental concern. The finding supported the first order measurement model with four latent factors, which fit the data
and the conceptual definition better than the second order measurement model. The study further examined the relationships of social,
demographic, and economic variables with those four latent factors. The correlational strengths and directions indicate that the construct of
 environmental concern is not a consistent attitudinal system, which suggests the structural complexity of this construct. This complexity is
 in turn reflected in its social, demographic, and economic characteristics.