Public policies in a pluralistic society should be able to clarify and cope with the complicated nature of public issues dominated by ¡§multiple parties, multiple values, and subjective judgment.¡¨ (Farkas & Anderson, 1974) Therefore, instead of merely concluding with the outcome, we should also take input into account when evaluating resource allocation or assessing policy effectiveness. In addition, since the public and the government differ in their judgment criteria and indicators, and multiple parties also have different understandings, the controversy of ¡§inequity¡¨ thus arises. In short, to conduct fairness measurement, we should focus on defining the parties as well as the input and outcome indicators.
This research adopted the Public Affairs Management framework to analyze Cijin Seaside Park in Kaohsiung City and Tamshi Fishers¡¦ Wharf in New Taipei City.
We have conducted a fairness measurement and cross-domain analysis to explore the equity perception in three aspects: economic equity, social fairness, and procedure justice. Moreover, we conducted a secondary data analysis, analyzed expert interviews, and generalized the carrier condition and factual judgment of the PAM framework. Furthermore, we explored the value judgment and interpersonal judgment in PAM framework with fairness measurement of the information integration theory. Our theory is based on the equity rule proposed by Anderson, which also emphasizes the individual and interpersonal comparison of individual input and outcome. Our results are demonstrated as follows:
1. In the individual value analysis of economic equity, both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf have over 10 local stores and tourists that fits one-factor rule of the tourist number factor.
2. In the individual value analysis of social fairness, Cijin Seaside Park has 10 local stores that support one-factor rule of the public support factor. However, Cijin Seaside Park has over eight tourists that fit the adding rule of public support factor and actual request factor, whereas Tamshi Fishers¡¦ Wharf has over eight local
stores and tourists that fit the same rule.
3. In individual value analysis of procedure justice, both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf have over 14 local stores and tourists that fit the unequal-weight averaging rule of policy support factor and administrative cooperation factor.
4. In interpersonal comparison of economic equity, the experimental result shows that the local stores and tourists in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf fit the unequal-weight averaging rule of the integration of their tourist number factors. Also, the local stores and tourists in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf fit the unequal-weight averaging rule of the integration of their revenue (consumption) factors. Moreover, the local stores and tourists in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf both fit the adding rule of their respective tourist number factor and revenue (consumption) factor. This result also supports the ¡§rule of inequity integration.¡¨
5. In interpersonal comparison of social fairness, the local stores in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf fit the unequal-weight averaging rule of the public support factor. They also fit the unequal-weight averaging rule of the actual request factor. As for the tourists, those in both two places fit the unequal-weight averaging rule of the public support factor. Also, they fit the unequal-weight averaging rule of the actual request factor.
6. In interpersonal comparison of procedure justice, the local stores in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf fit the unequal-weight averaging rule of policy support factor. They also fit the unequal-weight averaging rule of the administrative cooperation factor. As for the tourists, those in both Cijin Seaside Park and Tamshi Fishers¡¦ Wharf fit the unequal-weight averaging rule of policy support factor. Also, they fit the unequal-weight averaging rule of the administrative cooperation factor.
We continued to conduct a cross-domain analysis to integrate the above research results, as well as the results of secondary data analysis and expert interviews. As a result, we thereby propose related suggestions and generalize the operation steps of fairness measurement.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0618112-101714 |
| Date | 18 June 2012 |
| Creators | Huang, Yu-tien |
| Contributors | Hong-Wung Wang, Ming-Shen Wang, Fisher S. Chang, Han-Hwa Juang, Shu-Hsiang Hsu, Ben-Chu Sun, Yen-Wen Peng |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618112-101714 |
| Rights | user_define, Copyright information available at source archive |
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