文化旅游产业创新系统集聚模型构建及效用分析研究

发布时间：2018-01-02 13:16

本文关键词：文化旅游产业创新系统集聚模型构建及效用分析研究　出处：《贵州财经大学》2014年硕士论文　论文类型：学位论文

【摘要】：全球化进程的加速为文化产业与旅游产业的快速发展铺平了道路。在中国，这一状况尤为引人注目。政策引导、经济发展、科技进步、交通便捷、人民生活水平的提高和个人文化素质的提升，都为二者的蓬勃发展以及在更深层面的融合创造了条件。综观国内外学者对文化旅游研究与讨论的相关成果，可以得到一个大家基本认同的观点，即文化是旅游的灵魂，旅游是文化的载体，二者不可拆分。目前，国内外关于文化旅游的研究成果主要集中于对单一文化旅游类型的定性描述，缺乏从概念体系、理论基础、定量研究方法等方面对文化旅游产业的深层次、系统性研究。尤其是通过构建模型进行定量研究鲜有涉及。有鉴于此，首先，本文以系统科学理论和产业融合理论为指导，认为文化旅游产业创新系统是文化产业系统和旅游产业系统在系统驱动力的作用下耦合形成的一个复杂系统，具有主体性、适应性和动态平衡性。进而在分析文化旅游产业创新系统构成要素与层级结构的基础上将其解构为内核系统和调控系统，每个系统内又包含了数量众多的下一层级子系统和要素指标，这为量测模型的构建以及逐层计算系统综合力的实现提供了前提条件；其次，综合运用矢量平行四边形法则（Parallel law）、熵值权重法（Entropy-weight Method，EWM）和模糊隶属度函数模型（FuzzyMembership Function），构建文化旅游产业创新系统集聚模型（PEF模型），并在此基础上构建相应的模型量测指标体系，旨在丰富文化旅游的定量研究方法。再次，运用PEF模型得到的量测结果也耦合了文化旅游产业创新系统动力机制与模式选择的关系，有助于为各省（市、自治区）制定文化旅游产业政策措施与模式选择提供借鉴；最后，文章还分析了PEF模型的适用范围，以及该模型在今后的研究中需要进一步着重研究的地方。本文共分为六个章节，各章节大致内容概括如下：第一章前言。在前言部分主要介绍了本文的研究背景、研究意义、研究内容、研究方法、研究思路和研究创新点。第二章国内外相关研究进展。该章节从产业融合、创新系统和文化旅游三个方面对国内外现有文化旅游相关研究成果进行了梳理，以期对本文的撰写无论是在观点还是思路上都有所启示。第三章基础理论研究。本文选取系统科学理论和产业融合理论作为文章的理论基础，试图从系统科学和产业融合的视角来厘清文化旅游产业创新系统形成、发展、演变的原因、过程以及动力机制。同时，这也为文化旅游创新系统集聚模型（PEF模型）指标体系的设计与集聚动力的量测提供理论支撑。第四章文化旅游产业创新系统集聚模型构建研究。这是本文的重点章节之一，在本章节中首先对文化产业系统、旅游产业系统和文化旅游产业创新系统的概念进行了辨析。将文化旅游产业创新系统视为文化产业系统和旅游产业系统在系统构成要素相互作用力驱动之下耦合形成的一个多层次、多要素的复杂系统。具有主体性、适应性和动态平衡性的特点。系统要素相互作用之后形成的综合力——耦合力是该系统演化发展的动力之源；系统自身存在的内稳机制为系统的演化提供了规定性；最终使整个系统的演化呈现出既有稳定又有振荡的非线性演化轨迹。在此基础上，，本章节还介绍了文化旅游产业创新系统集聚模型（PEF模型）的构建过程以及矢量平行四边形法则、熵值权重法和模糊隶属度函数模型各自的计算步骤。第五章文化旅游产业创新系统集聚模型效用分析。这也是本章的重点章节之一，在本章节中构建了文化旅游产业创新系统集聚模型（PEF模型）量测指标体系，并对各量测指标一一进行了解释，为实证研究原始数据的搜集作准备。在各指标原始数据搜集完成之后，随即进入数据处理及系统动力分值的计算环节。所用公式在第四章中已有介绍，计算过程均在excel软件中完成。最后得出内陆31个省（市、自治区）文化旅游产业创新系统综合动力、内核动力和调控动力的分值及排名。并从差异度和均衡度两个方面对比分析了各省(市、自治区)的文化旅游产业创新系统综合动力、内核动力和调控动力分值及排名情况。通过分析发现：第一，我国内陆各省（市、自治区）文化旅游产业发展状况普遍偏低，北京市处于领先地位，具有明显优势，61%以上的省（市、自治区）系统综合动力分值介于20到40分之间。第二，大部分省（市、自治区）的内核系统动力分值与调控系统动力分值的排名相对一致，调控系统动力分值对整个系统的综合分值影响较大。但是，仍有部分省（市、自治区）的内核系统动力分值与调控系统动力分值差距较大，表现出二者发展的不均衡性。第三，无论是综合动力分值、内核系统动力分值还是调控系统动力分值，西部省（市、自治区）均普遍低于东部省（市、自治区）。第六章结语。本章对全文进行总结，并提出了文章的不足之处。
[Abstract]:The acceleration of globalization has paved the way for the rapid development of cultural industry and tourism industry. In Chinese, this situation is particularly striking. The policy guidance, economic development, scientific and technological progress, the transportation is convenient, the improvement of people's living standards and improve the cultural quality, create the conditions for the vigorous development of the two and more in fusion the surface of the deep. The domestic and foreign scholars achievements on the research and discussion of cultural tourism, we can get a basic belief that culture is the soul of tourism, tourism is the carrier of culture, the two are inseparable.
At present, domestic and international research on cultural tourism mainly focused on qualitative description of a single type of cultural tourism, lack of the concept system, theoretical basis, quantitative research on the cultural tourism industry in-depth, systematic study. Especially the quantitative research rarely involved by Gou Jianmo type. In view of this, firstly, this paper the theory of system science and industrial integration theory, cultural tourism industry innovation system is a complex system of cultural industry system and tourism industry system formed in the coupling system of driving force, with subjectivity, adaptability and dynamic balance. Then form the basis elements and hierarchical structure, the kernel system and deconstruction the regulation system in the analysis of innovation system of cultural tourism industry, each system also contains the next level subsystem and a large number of factors, Provides the premise conditions to realize the measurement for model construction and comprehensive strength layer calculation system; secondly, the integrated use of vector parallelogram rule (Parallel law), entropy (Entropy-weight Method, EWM) and the fuzzy membership function model (FuzzyMembership Function), the construction of cultural tourism industry cluster innovation system model (PEF model), and on the basis of constructing model of the corresponding measurement index system, to enrich the cultural tourism quantitative research methods. Thirdly, using PEF model to get the relationship between the amount of measured results are coupling of the cultural tourism industry innovation dynamic mechanism and mode selection, help the provinces (cities, autonomous regions) to develop cultural tourism industry policy measures and model selection for reference; finally, the article also analyzes the applicability of PEF model, and the model in the study of the need for further research on This article is divided into six chapters, and the chapters are summarized as follows:
In the preface, the preface introduces the research background, research significance, research content, research methods, research ideas and research innovation points.
The second chapter is related research progress at home and abroad. This chapter combs the related research results from the three aspects of industrial convergence, innovation system and cultural tourism, hoping to enlighten the writing of this article, whether in the view or in the way of thinking.
Research on the basic theory of the third chapter. This paper selects the system science theory and industrial fusion theory as the theoretical basis of the article, trying to combine science and industry from the system perspective to clarify the cultural tourism industry innovation system formation, development and evolution of the cause, process and power mechanism. At the same time, the model for the system of cultural tourism cluster innovation model (PEF) the design of index system and agglomeration dynamic measurement to provide theoretical support.
Study on the construction of the fourth chapter of cultural tourism industry cluster innovation system model. This is one of the focus of this chapter, in this chapter first on the cultural industry system, analyzes the concept of tourism industry and cultural tourism industry innovation system. The cultural tourism industry innovation system as a multi-level system of cultural industry and tourism industry system a driver under the coupling interaction formed in the system, a complex system with many elements. With the main characteristics, adaptability and dynamic balance. After the formation of the interaction system of elements of the comprehensive force coupling force is the system evolution and development of the power source; provide provisions of the system itself is the mechanism for internal stability the evolution of the system; the evolution of the whole system reflects both nonlinear evolution of stable and oscillatory trajectories. On this basis, this chapter also lies The construction process of cultural tourism industry innovation system agglomeration model (PEF model) is introduced, and the calculation steps of vector parallelogram rule, entropy weight method and fuzzy membership function model are calculated.
The utility model of the fifth chapter analysis of agglomeration of cultural tourism industry innovation system. It is also one of the key sections of this chapter, in this chapter constructs a model of cultural tourism industry cluster innovation system (PEF model) measurement index system, and the measurement index of 11 is explained, in preparation for the empirical Research on the raw data collection. After the original data of each index collected, then enter the score calculation of dynamic data processing and system. The formula has been introduced in the fourth chapter, the calculation process was completed by Excel software. Finally 31 inland provinces (municipalities, autonomous regions) the power of cultural tourism industry innovation system, the kernel power and control dynamic score and ranking. And the difference from the two aspects of equilibrium degrees and comparative analysis of the provinces (municipalities, autonomous regions) of the cultural tourism industry innovation system integrated power, power and power control kernel The scores and rankings. Through the analysis found that: first, China's inland provinces (municipalities, autonomous regions) development of cultural tourism industry is generally low, the city of Beijing in a leading position, has obvious advantages, more than 61% provinces (cities, autonomous regions) system integrated power score ranged from 20 to 40. Second, most of the province (city, autonomous region) of the core system and control system of dynamic power score score ranking is relatively consistent, comprehensive score control system dynamic score of the whole system has great influence. However, there are still some provinces (cities, autonomous regions) within the nuclear power system and control system of the dynamic score score showed a larger gap, unbalanced of the two development. Third, whether it is the integrated power system dynamic score or scores, the kernel control system of power points, western province (city, autonomous region) are generally lower than the eastern province (city, autonomous region).
The sixth chapter is the conclusion. This chapter summarizes the full text, and puts forward the shortcomings of the article.

【学位授予单位】：贵州财经大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：G124;F592

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