Author
Listed:
- Yeong Kim
- Jae-Won Shin
- Hwa-Soo Kim
Abstract
Recently, the Republic of Korea has been concentrated on the Regeneration Project and Industrial Structure Advancement Project to activate the declining industrial complex. The main reason for such efforts is that the role of the industrial complex is crucial to the economic growth. The industrial complexes, which were created in the 1970s-1980s, have deteriorated with the aging of infrastructure and plant facilities. Therefore, the industrial complexes, which cannot keep up with the rapidly changing flow, and the companies, which were driven out of business, are increasing under the influence of the lower economic growth. As a consequence, many companies moved to the newly created industrial complex, causing the increase in vacant stores at existing industrial complexes. To solve such problems, Government and local governments try to recover the function of industrial complexes and revitalize local economy through the rearrangement of the deteriorated industrial complexes. As part of such attempt, 'Regeneration Project' has been promoted since 2009 and 18 industrial complexes have been chosen as regeneration project districts until recently. Therefore, the Jinju Sangpyeong Industrial Complex, which is the target of this study, was determined as a regeneration project zone in 2014 with a view to promoting regeneration projects, which can alter the facilities of inappropriate-use into the culture service facilities, to lead the new growth engine industry in conjunction with the innovative urban development and established urban areas, going beyond the simple factory transference or the maintenance of the urban district. The Jinju Sangpyeong Industrial Complex was created in 1981 as an industrial complex. It was the industrial complex, which had played a central role in the development of the western Gyeongnam. But it began to deteriorate due to the increase in the facility location of the inappropriate use and factory closures under the influence of the economic downturn. In addition, this industrial complex became located in the built-up area with the expansion of the city. Due to this problem, citizens are appealing for the solution to the inconvenience and their complaints are increasing. Therefore, it is judged that regeneration project is truly required. In this regard, this study attempts to draw the order of priority regarding the factors of the regeneration project from the perspectives of laborers by evaluating detailed factors for the execution of the regeneration project with the target of laborers, who can grasp the characteristics of the Jinju Sangpyeong Industrial Complex, where the regeneration project has been performed. As analytic methods, The PCSI model, and the Revised-IPA matrix, based on the Kano model through the questionnaire surveys, were applied to identify the effect of detailed factors in the regeneration project of the industrial complex. It attempted to draw the order of priority and the effect of the detailed factors, necessary for the regeneration project through the PCSI model and the Revised-IPA matrix based on the Kano model.
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Keywords
Industrial Complex;
Regeneration Project;
PCSI model;
Revised-IPA matrix;
All these keywords.
JEL classification:
- O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
- R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
- R34 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Input Demand Analysis
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