Influences on the Work Desire of Cultural Industry Employees-Based on the SEM with the Data of 303 Questionnaires

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Cultural industry is an important part of national economy, but it is still not the mainstay industry of national economy in our country, which is closely connected with the shortage of culture industry talent. Based on the 500 college graduates of Shaanxi province, it explores the relationship among pressure perception,social support and work desire of Cultural industry practitioners, and then checks the moderation of social support. The results show that: stress perception and social support play a significant impact on the work desire of cultural industry personnel employed, and the stress perception is negative related to the work desire, while the social support is positive; social support has moderating effect between stress perception and work desire, low social support plays a negative moderation between them, while the moderation of high social support is not significant. Question Introduction “To be a cultural power” is a long-run strategy of cultural development of the Party Central Committee and the State Council of China. The development degree of culture decides the competitive power of a country in global cultural exchanges[1][2]. According to the UNESCO and the GATT, cultural industry is an industry involving the creation, production and distribution of products and services with cultural attributes, which holds an important position in the tertiary industry. It was proposed at the fifth plenary session of the 17th CPC Central Committee to “promote the cultural industry, and make it a pillar industry in national economy”. Besides, it was pointed out in the 2013 government work report that the increment in the cultural industry reached 15%, in the amount of RMB210 million based on conservative estimation, which showed that the cultural industry was expected to become the next pillar industry in national economy. Shaanxi Province is taken as an example. In 2013, the sectors in the cultural industry which had obtained high investment included the cultural leisure and entertainment service (50.7%), the culture and art service (17.6%), and the production of culture articles (12.4%); in respect of employment, the scientific research and technology support service sector provided most job posts (47.0%), followed by the information transmission, software and information technology service sector (31.6%), and the culture, sports and entertainment sector (21.3%). It shows that Shaanxi Province's cultural industry investment focused on the cultural leisure and entertainment service sector. Through analyses, the proportion tendency of job posts provided by each sector in the cultural industry from 1987 to 2013 has been figured out, as shown in Diagram 1. International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2016) © 2016. The authors Published by Atlantis Press 186 Fig.1. Proportion Tendency of Job Posts of the Cultural industry to that of the Tertiary Industry of Shaanxi Province from 1987 to 2013 According to Diagram 1, it is found that the proportion of job posts provided by the cultural industry takes on a rising tendency. What are the factors affecting the participation desire of practitioners in the cultural industry? In view of this, it is planned to construct a relevant conceptual model in this article. With the college graduates in Shaanxi Province as an example, a structural equation model (SEM) will be adopted, to discuss their perception of stress, and participation desire in the cultural industry under social support, to draw a constructive conclusion. Theory and Hypothesis Introduction to Conceptual Model Through summarizing the existing documents, it is found that the research on the influence factors of the growth of talent in the cultural industry is advancing day after day. For example, LI Yin et al (2014) [3] divided the talents in the cultural industry into four types by value creation: the creative, the operating, the managing, and the content; while Kaufmann.G et al (1997) [4] proposed that “the way that the external factors influencing the growth of the aforementioned four types of talents were basically consistent” long ago. HE Liwen et al (2015) [5] found that, based on the analysis of the input and output efficiency in the cultural industry in 2010 with DEA model, the school enrollments could directly reflect the level of education of residents, and believed that the raising of education level was the key factor that led to the increase of cultural consumption. DENG Yufan et al (2009) [6] have traced out the geographical distribution law of employees engaged in creative industry in Guangzhou through comparative analysis and research of the whole urban space, the urban regional and spatial structure, and the distribution space of different creative sectors; ZHAO Ruifeng et al (2011) [7] have provided a scientific method of forecasting the development of practitioners in the cultural industry in Guangxi by constructing a grey predication model for analyzing the development tendency of practitioners in the cultural industry in Guangxi. A hypothesis is built as shown in Diagram 2. Fig. 2. Research Model