2017 Fiscal Year Annual Research Report
| Project/Area Number |
17F17309
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
真渕 勝 立命館大学, 政策科学部, 教授 (70165934)
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| Co-Investigator(Kenkyū-buntansha) |
Kwon TAEUK 立命館大学, OIC総合研究機構, 外国人特別研究員
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| Project Period (FY) |
2017-11-10 – 2020-03-31
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| Keywords | Public administration / political environment / goal ambiguity / policy program |
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| Outline of Annual Research Achievements |
During fiscal year 2017, the official research performance like journal articles or presentations was not produced yet by this project. As described in the submitted research plan, the period of four months was used for preliminary investigations on diverse sources of objective data, collecting governmental documents, and further literature review to develop more proper measures of goal ambiguity in Japanese policy programs.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
Focusing on the policy evaluation data of Japanese government, first of all, we gathered the program performance report of central ministries and guidelines of the Ministry of Internal Affairs and Communications, and examined thoroughly the characteristics of goal structure in policy programs described in the official documents of government. Second, within the original purpose of this research, the coding scheme for measuring the level of major variables was modified for the distinctive property of Japanese policy process and goals. Third, with collection and processing objective data, we performed several pilot tests of the relations among political factors and goal ambiguity variables, using limited data set of one period. The result of statistical analysis indicated that the occurrence and level of goal ambiguity varied among individual ministries.
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| Strategy for Future Research Activity |
With adding points and periods of data and identifying concrete statistical model, first, we test the goal ambiguity hypotheses on the Japanese politics-bureaucracy relations using repeated multi-level data set and refined statistical methods. Because our definitive data set has nested data structure, policy programs within organizational groups, the multilevel regression techniques will be used for avoiding some kinds of fallacies. Second, to access various data sources and complement limitations of quantitative analysis, we collect directly archival data in the Diet Library in Tokyo and conduct in-depth interviews with the bureaucrats of central ministries. Finally, mainly existing theory-driven, the implications of the results are discussed, and unique findings are to be interpreted by qualitative data, such as the result of interview survey with main actors of Japanese policy making process.
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