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ORGANIZATIONAL EVALUATION OF INDUSTRIAL WATER POLLUTION CONTROL IN THE NEW YORK REGION 1
Author(s) -
Zimmerman Rae
Publication year - 1973
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1973.tb05859.x
Subject(s) - pollution , control (management) , business , environmental economics , socioeconomic status , environmental planning , industrial pollution , environmental science , natural resource economics , economics , environmental health , population , medicine , ecology , management , biology
Non‐technological factors related to the behavior and characteristics of organizations involved in pollution control are explored here as to their importance as determinants or indicators of the level of pollution control effectiveness. Methods of evaluating the existing level of effectiveness are developed and tested using the response of a selected set of industrial establishments to state water pollution abatement action in the New York Region from 1966 to 1971. The compliance of 209 manufacturing establishments to state abatement orders in the New York Region is evaluated with respect to selected organizational and industrial characteristics and characteristics of the firms'socioeconomic environment. The influence of state policies arid programs is also discussed. It was found that the degree of compliance to state abatement action by industry in the Region is positively related to organization size, the extent of waste generation, the wealth and size of the town in which the firm is located, and the availability of waste treatment facilities in the town. The age of the firm was not related to compliance. The structure of state abatement scheduling also influences the degree of compliance. The methods of analysis used here provide a basis for a comprehensive analysis of the effectiveness of pollution control as an alternative to the case by case approach that is currently being used.