中国经济正在进行的转型在塑造文化和创意产业(CCI)的格局中发挥着关键作用。以其环境可持续属性而闻名,再加上高生产率,CCI在不同的社会阶层中引起了相当大的关注。本研究试图描绘影响CCI发展轨迹的决定因素,以城市A为主要调查对象,与城市G并列,D,B,H,和X进行比较分析,利用2021年的发展数据。最初,该研究阐明了支撑CCI的概念框架及其在促进城市变态中的内在意义。随后,强调了CCI通过深度学习和信息管理技术的积极影响,构建了基于LSTM算法的文化创意推荐模型。通过绩效评估,文创项目推荐准确率达94.74%。然后通过对相关影响者的细致因子分析,构建了一个稳健的CCI发展评估模型。采用因子分析技术,该研究确定了影响CCI发展的两个主要决定因素:可持续盈利能力因素和文化影响因素。影响A市CCI发展的因素中值得注意的是固定资产投资,文化产业融资,大学研究机构的激增,居民人均文化支出。其中,固定资产投资,文化产业融资,大学研究机构的密度显著影响了可持续盈利能力,在CCI开发的评估框架中,可识别的影响权重为0.738,从而显著塑造了它的轨迹。此外,消费者心理因素,特别是市场消费模式,观察到对CCI演化产生明显的影响。这项研究预示着对CCI发展领域的新见解,注入新的生机和活力。此外,它强调了各种研究因素之间固有的相互依存和正相关,提供与城市CCI发展密切相关的新颖观点和方法。
The ongoing transition within the Chinese economy assumes a pivotal role in shaping the landscape of the cultural and creative industries (CCI). Renowned for its environmentally sustainable attributes, coupled with high productivity, CCI has garnered considerable attention across diverse societal strata. This study endeavors to delineate the determinants influencing the developmental trajectory of CCI, with a focal point on City A as the primary subject of investigation, juxtaposed against Cities G, D, B, H, and X for comparative analysis, leveraging developmental data from the year 2021. Initially, the study elucidates the conceptual framework underpinning CCI and its intrinsic significance in facilitating urban metamorphosis. Subsequently, the positive impact of CCI through deep learning and information management technology is emphasized, and a cultural and creative recommendation model based on LSTM algorithm is constructed. Through performance evaluation, the recommendation accuracy for cultural and creative projects reaches 94.74 %. A robust developmental assessment model for CCI is then constructed via meticulous factor analysis of pertinent influencers. Employing factor analysis techniques, the study identifies two primary determinants exerting sway over CCI development: sustainable profitability factors and cultural influence factors. Noteworthy among the factors influencing CCI development within City A are fixed asset investment, cultural industry financing, the proliferation of university-based research institutions, and per capita cultural expenditure by residents. Of these, fixed asset investment, cultural industry financing, and the density of university research institutions prominently impinge upon sustainable profitability, with a discernible impact weight of 0.738 in the evaluative framework of CCI development, thus significantly shaping its trajectory. Moreover, consumer psychological factors, particularly market consumption patterns, are observed to exert a discernible influence on CCI evolution. This study augurs fresh insights into the realm of CCI development, infusing it with renewed vigor and vitality. Moreover, it underscores the inherent interdependence and positive correlation among the various research factors, offering novel perspectives and methodologies germane to the advancement of urban CCI.