Authors : Sang-Kill Lee, Dae Ho Kim, Kyung-Sin Kim and Jung-Yeon Im
Abstract: This study analyzes the behavior of main actors in the specialized zone designation process of Seocho-gu district based on Resource Dependency Theory (RDT) to find what the effective policy method deployed in the process of policy making is. To test this research, we interviewed 4 major companies: Hyundai-Kia Motors, Samsung, LG and KT which are located in Seocho-gu and we performed bibliographic research on the related issues and the specialized business plan issued by Seocho-gu, cluster and RDT paper. Also, we joined a public hearing process. The basic assumption of RDT is that the behaviors of performers may be different according to resources in detail importance, control and discretion and concentration. In this case, we find performers lacking two factors: control and discretion and concentration. To be in the R&D special zone, like cluster, companies and SMEs are necessary as the main players of clusters. Seocho-gu office is one of the main actors. Inhabitants and SMEs of Seocho-gu are also important players. Also, we find some important resources that can be used for the involvement of the main players of the area. Deregulation of floor area ratio. By designation of the R&D specialized zone, the company or people who joined a specialized business plan can benefit from the deregulation of the floor area ratio to more than three times of the current floor area ratio. Political support. The head of the local government could be re-elected by the support of the citizens. Development merit. By designation, citizens who own property in the area can get benefit indirectly or directly. Government contribution. Some SMEs can get government contribution by the agency. This study finds that performers who lack two resource factors-control and discretion and concentration-join the plan positively. Through this research, RDT development is made.
Sang-Kill Lee, Dae Ho Kim, Kyung-Sin Kim and Jung-Yeon Im, 2018. Analysis of Participant Behavior Based on Resource Dependency Theory in the Process of Deregulation by Designation of R&D Special Zone. Journal of Engineering and Applied Sciences, 13: 3877-3881.