2018, Vol.99, No.

The Korea Spatial Planning Review 2023 KCI Impact Factor : 1.2

pISSN : 1229-8638
https://journal.kci.go.kr/krihs

The purposes of this study are to develop an index capable of allowing one to evaluate the competitiveness of old industrial complexes comprehensively and to analyze characteristics and problems of non-competitive and old industrial complexes. First, this study assessed the competitiveness of old industrial complexes using the specific indicators of labor productivity, employment, and innovation. It was found that the evaluation results for each indicator are both different and complementary. Second, this study developed the Composite Competitiveness Index (CCI) by means of linear transformation. CCI reflects the characteristics of each indicator and most of the old industrial complexes were less competitive. Third, this study classified old industrial complexes into high-, middle- and low-competitiveness groups using a rank-size distribution and compared the characteristics of each group. As a result, the industrial complexes in the lowest competitive group were highly vulnerable with regard to labor productivity, employment and innovation. Moreover, the lowest group showed weaknesses in agglomeration economies as well as restructuring, and there was also the problem of the weakening of the competitiveness of the company level due to the increased number of small-size enterprises and a lack of supporting facilities. On the other hand, comprehensive competitiveness was not significantly related to operating period or developer. The results provide a framework with which to evaluate competitiveness in old industrial complexes efficiently and present implications with regard to establishing desirable policies for old industrial complexes.

The government-run rural development project aims to ensure basic quality of life for residents and to maintain local communities through community activations by improving the aging and uncomfortable living environment in rural areas. Unlike previous studies comparing the quality of life between rural areas, urban and rural areas, this paper was conducted to examine the satisfaction level of life of real people through projects such as the unit maintenance project. Social capital was used as a parameter to analyze life quality factors and community activations related to items by function of business. As a result of the analysis, social capital showed partial effects on quality of life satisfaction, followed by a significant impact on quality of life in a stepwise regression, the most significant impact factors of quality of life are based on basic living, regional capacity, and the network Regional capacity enhancement did not appear statistically significant in direct effects, but it was shown to be a significant influence in direct effects with social capital. Thus, for local residents to improve their quality of life through business and to promote community, it was important to ensure basic quality of life through basic living standards and to accumulate social capital such as participation and trust through network deployment.

Whether we use our own vehicle or use public transportation or walking when we choose an individual modes of transportation is influenced by a variety of factors. In this study, we analyze the effects of the initial condition of transportation on the selection of individuals after the passage of time. Panel data are used to develop and estimate models that can take into account dynamic changes to reflect these state dependencies. In this study, the factors affecting the choice of the individual’s modes of transportation are considered human factors such as gender, age, and income level and reflect the random effect on the assumption that there are unobserved heterogeneity such as individual tendency or habits. In order to solve the problem of the initial condition in which the initial condition without previous information is misinterpreted as the unobserved heterogeneity, we use the dynamic random effect probit model using the Heckman estimator. The results of this study suggest that there is a significant state dependence, which means that the initial condition of transport will not change over time. It is suggested that the early formation of transportation is important for the transportation policy, and the development of the policy that is compatible with the initial formation is necessary.