Building a model of commitment to the natural environment to predict ecological behavior and willingness to sacrifice

We examined the connection between individuals’ relationships with the natural environment and their environmental behaviors with a focus on commitment to the environment, defined as psychological attachment and long-term orientation to the natural world. Commitment is theorized to emerge from structural interdependence with the environment and to lead to pro-environmental behaviors. Close relationships research has identified three key antecedents to commitment (satisfaction, alternatives, and investments). We developed environment-specific measures of these constructs, and factor analysis verified three distinct factors. A path analysis revealed that satisfaction with the environment and investments in the environment, but not alternatives to the environment, predicted commitment to the environment. Moreover, commitment mediated the effects of satisfaction and investments on general ecological behavior and willingness to sacrifice for the environment. In regression analyses, commitment predicted general ecological behavior and willingness to sacrifice for the environment, even when controlling for ecological worldview, inclusion of nature in the self, connectedness to nature, and environmental identity. Individuals who are satisfied with and invested in the natural world are likely to be committed to the environment and act with the well-being of the environment in mind.     

“Hot” versus “Enlarged” Electrostatic Precipitation of Fly Ash: A Cost-Effectiveness Study

An article in the February 1974 issue of the Journal of the Air Pollution Control Association entitled “Hot” versus “Enlarged” Electrostatic Precipitation of Fly Ash: A Cost Effectiveness Study,¹ by D. R. Selzler and W. D. Watson, Jr., arrives at the generalized conclusion that “enlarged” precipitation is likely to be a less costly method of attaining high collection efficiencies for low sulfur fly ash. The basis of this conclusion is a multivariate regression analysis of 37 full-scale cold electrostatic precipitators. Using the predictive ability of the resulting equation, modified to include a 95% probability of attaining design efficiency, together with functions describing capital and operating costs, the authors arrived at the above conclusion.

It is our contention that while the overall approach presented is a good attempt to develop a more systematic method of attacking the problem and arriving at a generalized solution, there are many errors in the development which have resulted in incorrect conclusions. Among the more serious errors in this work is the development and acceptance of a regression model based on cold precipitation performance data which is not compatible with the observed performance of cold precipitators. The use of the same equation for hot precipitator sizing can also be shown to be invalid. Additionally, one of the basic parameters used by the authors to distinguish precipitation performance of coals is not meaningful for hot precipitation and of questionable validity for cold precipitation. And, finally, the authors do not appear to recognize that power input to the precipitator (actually power density) is a constrained function which can hardly ever be increased to levels defined by their “optimum” precipitator sizing.     

Sizing and Costing of Electrostatic Precipitators

This is the second of a two-part article that reviews electrostatic precipitation theory, presents size estimating methods, and gives costing procedures for a variety of electrostatic precipitator (ESP) types and sizes. Part I of the article, which appeared in the April 1988 issue of JAPCA, discussed theory and sizing; this part presents costing. Information is given for estimating total capital investment including separate costs for the bare ESP (five types) and auxiliaries. Factors are given for installation and for indirect costs. Direct and indirect annual costs are discussed. An example problem is given.