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Data · dataset · 2001

Empirical Study of the Budgetary Process in Executive Yuan R.O.C.

Listed in Harvard Dataverse

The major purpose of this project is to investigate the budgeting preparation process in Executive Yuan of Republic of China,in searching for the fact how the public budget has been prepared and organized before it being submitted to the Legislature Yuan.

Description

Various budgeting models, such as rational budgeting model,incremental budgeting model,role theory,maximizing budgeting model,have been utilized and discussed in past five decades.

However,these literature are almost case studies based on the context of United States. For the academic reasons,this project attempts to explore the factors that shape budgeting decision-making of bureaucracy in Taiwan in order to contribute native research in public budgeting. To clarify the casual relations of those factors, our research strategy seeks to combine historical-institutional analysis and quantitative methods as follows:literature review,collection of government publications, interview with key persons,questionnaire survey,and statistical analysis.

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By employing the integrated research design,this research also analyzes the key factors determining budgeting decision-making of bureaucracy in budgetary process. The results of interview with key persons and statistical analysis show that three major actors,including leaders of departments in central government ( 74.5%),the Office of Budgeting and Accounting (66%),and Legislative Yuan (45. 1%),have significant influence on the budgeting preparation of Executive Yuan.

It indicates that the concept of both microbudgeting and macrobudgeting,and legislative influence have been considered in budgetary decision-making. On the other hand,this research suggests that the budgeting behavior of bureaucracy is formed on the combination of rational budgeting model, incrementalism model, and budget-maximizing model,rather than on the basis of a single model.

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Provenance · 1 source records, 5 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.6141/TW-SRDA-E88054-114 d agoJSON v1
FieldAssertionExtractorEvidence
created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0