A study on evaluation framework and strategies of smart industrial park

• Main Authors: Lin, Chiao-Fang, 林巧芳
• Other Authors: Pai, Jen-Te
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/8anrey

碩士 === 國立政治大學 === 地政學系  === 106 === Traditional industrial parks were only set up to assemble manufacturers. When internal and external environments changed, industrial parks were faced with bottlenecks. Countries had introduced the concepts of “Smart”, information and communication technology, into industrial park in order to improve operation efficiency in industrial parks. Further, many countries had designed evaluation frameworks as a reference. In addition, the development of smart industrial park would interact with smart city and form a two-way interactive link between resources, technology, and talent circulation. Related to the concept of smart industrial parks, Taiwan has not yet provided a deeper research and evaluation framework for reference. In this study, using expert questionnaires to established an evaluation framework for Taiwan's smart industrial parks. The framework was divided into three major aspects: “smart operation management”, “smart information and resources” and “smart infrastructure”, and it extends downwards to 21 evaluation indicators. With this evaluation framework, 62 industrial parks set up by Industrial Development Bureau, Ministry of Economic Affairs were investigated to grasp the level of smart development and weaknesses; at the same time, using a hierarchical regression model to analyze the relevance between Taiwan’s smart industrial parks and the external environment in order to understand the degree of interaction between Taiwan's smart industrial parks and smart city. First, the results of the questionnaire showed that the most important aspect of the evaluation framework was mart information and resources, and followed by smart infrastructure, smart operation management. The detailed evaluation indicators for the highest weight value are “smart industrial park promotion organizations and projects”; secondly, according to the evaluation results, the smart industrial parks with a score higher than the overall average score of 0.280 were mainly concentrated in the southern district. Among them, the highest score was 0.746 in the Tainan Technology Industrial Park; finally, in the hierarchical regression model, this study used three levels: “the conditions of the park itself” and “environmental characteristics of the city where the park was located” and “the development degree of smart city where the park was located”. Model analysis results showed that the development degree of smart city had a greater influence on smart industrial park than the other two levels. However, the explanatory power of the three hierarchical models is low, that is, the current development degree of smart industrial park in Taiwan had a greater correlation with the internal organizational driving force.