This study contributes to our understanding of granting requests for government information by clarifying the mechanisms through which factors influence granting requests linked to each other. In particular, we find that the relationship between granting requests for government information and 3 independent categories as the supply-side ‘push factors’, demand-side ‘pull factors’, and ‘context factors’; the ‘push factors’ is about the properties of local government, the political characteristics of mayor, the power structure of local council, and the nature of administrative officials. The ‘pull factors’ included the election and the local residents. And the ‘context factors’ included the local tax rate and the practice of granting information requests. To test the questions raised by this study, the data of 229 Korea local governments were collected from 2007 to 2010. To analyze empirically, we used the Pooled OLS Model. The analysis results are as followings. First, the estimated coefficient of ‘Freedom of Information Ordinance’ has significantly positive effect on the granting rate of information requests, while ‘the ratio of senior officials’ has negative effect. Secondly, ‘the number of requests’ has significantly negative effect on the granting rate of information requests. Thirdly,‘the granting rate of the previous year’ has significantly positive effect on the granting rate of information requests.
This study contributes to our understanding of granting requests for government information by clarifying the mechanisms through which factors influence granting requests linked to each other. In particular, we find that the relationship between granting requests for government information and 3 independent categories as the supply-side ‘push factors’, demand-side ‘pull factors’, and ‘context factors’; the ‘push factors’ is about the properties of local government, the political characteristics of mayor, the power structure of local council, and the nature of administrative officials. The ‘pull factors’ included the election and the local residents. And the ‘context factors’ included the local tax rate and the practice of granting information requests. To test the questions raised by this study, the data of 229 Korea local governments were collected from 2007 to 2010. To analyze empirically, we used the Pooled OLS Model. The analysis results are as followings. First, the estimated coefficient of ‘Freedom of Information Ordinance’ has significantly positive effect on the granting rate of information requests, while ‘the ratio of senior officials’ has negative effect. Secondly, ‘the number of requests’ has significantly negative effect on the granting rate of information requests. Thirdly,‘the granting rate of the previous year’ has significantly positive effect on the granting rate of information requests.
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