Green Ship Program Process and Outcome Evaluation Design (Case Study Sample)
The pilot data collection/validation and analysis memo will require
that you collect pilot data that tests the data collection instruments
or provide a data validation strategy for data that is already
collected by the program. For proposed primary data collection, the
pilot data memo should include the measures and metrics, data
collection strategy, and analysis of your pilot data. For proposed
secondary data analysis, you should focus on a data acquisition
and validation procedure. Data analysis should focus on improving
the data collection instruments or creating a procedure for data
validation and analysis for data already being collected by the
To: Port of Long Beach
From: Port of Long Beach Air Quality Team, Administrator
Date: July 25, 2021
Subject: Green Ship Program Process and Outcome Evaluation Design
The Green Ship Incentive is a program lunched aiming to purify the air by encouraging the use of greenest / cleanest ships with clean engines that reduce hazardous emissions from the ships.
The process will adopt interviews and questionnaires as the primary data collection methods and websites as the secondary means of gathering any other relevant information. The results of the program will be determined by comparing the air quality data before and after the program initiation. POLB Air Quality Monitoring Program and Current Air Quality Data will be sourced to collect data concerning air quality and emissions reduction. This memo will outline how the Green Ship Incentive program data acquisition process, schedule, validation procedures, and analysis strategies are involved.
Program Description and Summary of Proposed Process and Outcome Evaluation Designs
Green Ship Incentive Program aims at purifying air by encouraging the use of the greenest / cleanest clean engines that reduce hazardous emissions from the ships that pollute the air (Sun, Yan, Yuan & Bai, 2018). The program works by giving incentives to the registered ship's operators based on ship data the Port collects. The program aims to reduce emissions from ships, which are considered the largest source of air pollution. These incentives are paid to ship operators who invest in clean engines for their ships. The proposed program will use fidelity to measure and evaluate information and outputs such as name, number of ships, ship size, load capacity, fuel consumption, and engine displacement. The proposed outcome evaluation design will analyze all the information regarding the ships that qualify for incentives compared to newer ships and retrofitted ships to reduce air pollution.
Process Evaluation Data Acquisition Tool and Schedule
Data will be collected systematically and uniformly, with the appropriate procedures, practices, and processes in order to produce quality information without disruption of services administered (Li, Yi & Zhang, 2010). The online registration system will provide the information for each ship, including size of engines, load capacity, fuel consumption rate, for a period of three months, indicating the number of ships that received payment (Appendix D). Interviews will provide many open-ended questions, to give the POLB staff a more comprehensive understanding of ship owners. Process evaluation data will be acquired for the ships which will be reviewed to determine the program's progress and align it with the current reporting. POLB Air Quality Monitoring Program and Current Air Quality Data will be used for outcome/impact evaluation,
Process Evaluation Data Validation Strategy
The process evaluation data collected will be validated by comparing the collected ship information from the POLB register system for ships that qualify the tier 2 or Tier 3 engines. Data from the environmental Ship Index system will be used to validate the data collected from the POLB register system. Data from the fidelity questionnaires administered will be used to validate the ship information recorded by the POLB .Data from the questioners will be used to analyze which part of the program needs improvement or modifications.
The results will be analyzed using a Gantt chart and statistical analysis techniques such as SPSS to get descriptive and inferential statistics and determine how the change from a shipper's behavior impacts the environment and the community. It will involve determining if the participating shippers pol
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