Culture Creative Industry Agglomeration Dynamic Mechanism Research

In the context of a knowledge-based economy, creativity has become animportant force to change the world. On one hand, as the output capacity of thetraditional industries is restricted by resources, environment, and the evolution law ofeconomic structure, the positive feedback effects of economic growth has faced agreat challenge. On the other hand, due to the extensive use of IT, the developmenttrend of the integration between industries has become more and more mature. In theprocess of transforming from the industrialization stage to the post-industrializationstage, the economic structure of cities also transforms gradually from the productioncenter to the services and innovation centers. This transformation provides a suitablesoil as well as good financial and environmental conditions for the beginning anddevelopment of cultural and creative industries. The rapid growth of the cultural andcreative industries has become a flag of the new economy booming that has the coreof “knowledge”,“technology”, and “culture”.In recent years, many theoretical studies have focused on the emerging style ofcultural and creative industries. However, there are few systematic studies of theirspatial agglomeration form. In fact, as a new concept, the cultural and creativeindustries are actually in order to emphasize the policy-oriented significance for acollection of a wide range of industries. The form of the spatial agglomeration ofindustries is an important “foothold” of policy to become a carrier and a pushing handof government action. It is true that for different types of industries covered by thecultural and creative industries, whether they are clustered or not has different trends.At the same time, for the enterprises of different sizes, different types, and differentdevelopment stages within a particular industry, they also have different strategicoptions for agglomeration. Overall, the spatial agglomeration of the cultural andcreative industries still has a consensus within a certain range and to some extent.Based on the particularity of the cultural and creative industries and based on theagglomeration theories of general manufacturing and traditional services, this thesiswill discuss the mechanism of the spatial agglomeration of the cultural and creativeindustries via the research ideas and methods of industrial economics, spatialeconomics, and system dynamics.This thesis will demonstrate from the four following levels: status description, theoretical study, practical discussion, and case analysis.Firstly, in reality, this thesis has illustrated the present situation of cultural andcreative industries clustering, and summarized several forms and regulars for thosespace agglomerations. For example, cultural and creative industries have features withlayered agglomeration on the scale and geographical distribution. They have featureswith evolutionary agglomeration on the development process. They have featureswith heterogeneity from the view of industrial refining. After comparing theagglomerations between cultural and creative industries and traditional manufacturingindustries, it is concluded that they have several differences on many fields, likelocation choice、 way of clustering connection、 personnel turnover、 networkorganization、value creation、focus of attention、output characteristics、essentialattributes.Secondly, at the theoretical level, we analyze step by step the dynamicmechanism of the cultural and creative industries agglomeration. The theoreticalframework of the cluster rent of “LEN” is constructed and the combination oflocation rent, field rent, and network rent is adopted to explain dynamics of the spatialagglomeration of the cultural and creative industries. From three different dimensionsof region, society, and system, we refine nine dynamic factors, i.e. cultural factors,market factors, policy factors, personnel factors, financial factors, overflow factors,public-brand factors, complementary factors, and service-platform factors, anddiscuss one by one the relations between cultural factors and regional embeddings,market factors and demand proximity, policy factors and fields of business incubators,personnel factors and knowledge fields, capital factors and financial fields, overflowfactors and producer networks, public-brand factors and the end network of themarket, complementary factors and specialized networks, service-platform factors andsocial support networks. Furthermore, subdivision index system is derived from thenine dynamic factors and the “causality loop” is constructed using the systemdynamics. Logical relationship and mechanism between the various observations arealso studied to analyze the dynamic mechanism of the cultural and creative industriesagglomeration.Thirdly, we discuss the dynamic mechanism of the cultural and creativeindustries agglomeration through different industries. Using the “Rule of Thirds” ofthe cultural and creative industries, i.e. handmade class, creative service class, contentproduction class, we divide the types of agglomeration into different agglomeration-driven types of origin, production, and consumption. Combining theindustries of art, animation, and entertainment, we compare different dynamicmechanisms, like the interaction-type of creation agglomeration, the attachment-typeof the incubator agglomeration, the collaborative-type of the chain agglomeration, andthe experiment-type of consumption agglomeration.Our results show the following three points:1) the common features of thesetypes of agglomeration is that the environment and field of the agglomeration requirenot only efficient infrastructure, but also creative infrastructure;2) the networkgeneration of the agglomeration is based not only on the production networks of theenterprises, but also on the professional comment system of “Art Watchmen”;3) themain body of agglomeration is not only the supply side of the art, but also depends onthe art intermediaries. However, for the aspects of the dynamics of the core, clusterrental preferences, agglomeration characteristics, and the relationship, evolution, andinnovation among the main bodies of the agglomeration, there are differences fordifferent types and modes of the agglomeration.Finally, we will discuss and validate the conclusions and results obtained fromthe theoretical study and practical discussion via the case analysis. We chooseShanghai Zhangjiang innopark as the object of the case analysis; dynamically exploreits agglomeration power. By tracking the Zhangjiang policy changes as well as thecultural and creative industries development trend, we will launch dynamicmechanism research, combining the theoretical model and the clustering status for thenetwork game industry.