基于产业竞争力的厦门市光电产业发展趋势研究

发布时间：2018-11-26 11:57

【摘要】：光电产业作为战略性新兴产业，近年来在厦门得到了快速的发展，并已成为厦门地区的支柱性产业，对当地整体经济的发展产生着重要的推动作用，所以对厦门光电产业发展相关问题的研究将有很重要的现实意义。本文试图通过对厦门光电产业的研究，预测其未来发展趋势，深入挖掘厦门光电产业发展的规律及其发展过程中的关键影响因素，找出厦门光电产业发展过程中存在的问题，并以此为依据为产业发展政策的制定提供参考。本文从产业竞争力的角度出发分析光电产业发展的影响因素，应用灰色关联分析及灰色关联聚类对台湾光电产业发展的相关数据进行实证分析，挑选出对光电产业发展具有关键性影响作用的因素指标，并建立台湾光电产业的BP神经网络预测模型，以此模型为基础，在保持网络结构不变的前提下对其进行调整后建立了厦门光电产业的预测模型，还将这个新模型的预测效果与灰色预测模型进行了比较分析，，最后使用MIV分析了影响厦门光电产业发展的各主要因素的作用强度，并提出了提升厦门光电产业竞争力的针对性对策。通过本文的研究得到了以下几点关键性的结论：（1）厦门光电产业的发展与台湾光电产业的发展具有相似性，遵循着共同的规律性；（2）新建立的厦门光电产业神经网络预测模型具有很好的预测精度，比灰色预测模型具有更大的优越性；（3）对外贸易是影响厦门光电产业发展的最重要因素，其次是科技人员。这些结论将为厦门光电产业发展战略的制定提供有益的指导作用。
[Abstract]:As a strategic emerging industry, optoelectronic industry has been developing rapidly in Xiamen in recent years, and has become a pillar industry in Xiamen, which plays an important role in promoting the development of the local economy as a whole. Therefore, the study on the development of optoelectronic industry in Xiamen will be of great practical significance. This paper attempts to forecast the future development trend of Xiamen optoelectronic industry through the research of Xiamen optoelectronic industry, deeply excavate the law of Xiamen optoelectronic industry development and the key influencing factors in its development process, and find out the problems existing in the process of Xiamen optoelectronic industry development. And this as the basis for industrial development policy to provide reference. This paper analyzes the influencing factors of the development of optoelectronic industry from the point of view of industrial competitiveness, and makes an empirical analysis of the relevant data of the development of optoelectronic industry in Taiwan by using grey correlation analysis and grey correlation clustering. Select the factors that have a key effect on the development of optoelectronic industry, and set up a BP neural network prediction model for Taiwan's optoelectronic industry, which is based on this model. On the premise of keeping the network structure unchanged, the prediction model of Xiamen optoelectronic industry is established, and the prediction effect of this new model is compared with that of grey forecasting model. Finally, the paper analyzes the action intensity of the main factors influencing the development of optoelectronic industry in Xiamen by using MIV, and puts forward some countermeasures to enhance the competitiveness of optoelectronic industry in Xiamen. The key conclusions are as follows: (1) the development of optoelectronic industry in Xiamen is similar to that in Taiwan and follows the same rules; (2) the newly established forecasting model of Xiamen photoelectric industry neural network has good prediction accuracy and has more advantages than the grey forecasting model; (3) Foreign trade is the most important factor affecting the development of optoelectronic industry in Xiamen, followed by scientific and technological personnel. These conclusions will provide useful guidance for the development strategy of optoelectronic industry in Xiamen.
【学位授予单位】：华侨大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F426.61;F224

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