Date of Conferral

2021

Degree

Ph.D.

School

Public Policy and Administration

Advisor

PAUL E. RUTLEDGE

Abstract

The New York State renewable portfolio standard program failed to reach its successive targets and did not meet estimated percentage capacity in all program years. The purpose of this quantitative study was to examine the relationship between 6 predictors variables (policy standard and objective, resources and incentive, inter-organizational communication and enforcement activities, characteristics of the implementing agencies,economic,social, and political conditions and disposition of implementers) and implementation performance. Pressman and Wildavsky Implementation theory provided the framework for the study. Data were collected from 251 anonymous participants from the Qualtrics survey audience residents of New York City’s 5 counties. Multiple linear regression was the main statistical analysis method. The results indicated the 6 implementation variables were able to predict implementation performance, if applied in state Clean Energy Standard portfolios for renewable energy. Results indicated that 100% of the variance was expressed by the 6 variables The strong correlation of the 6 independent variables with implementation performance variable can be explained by the combination of the 4 presented best predictions model. Findings of this study may contribute to positive social change through Pressman and Wildavsky’s classic top down approach to policy implementation and may provide information about delivering low-cost energy supply, and green employment.

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