Research on Coupling and Coordinating Development of Big Data Industry and Ecological Civilization in Guizhou

In order to promote the coordinated development of Guizhou's big data industry and the construction of ecological civilization, this paper combines qualitative analysis with quantitative analysis. First, it creatively introduces the search engine data-Baidu index into the evaluation system, and establishes a large data industry water including three first-level indicators: industrial scale, infrastructure and Baidu index. The level rating index system and the level evaluation index system of ecological civilization construction including four first-level indicators of ecological economy, ecological environment, ecological livability and ecological culture. Then, using the panel data of nine cities in Guizhou Province from 2013 to 2017, the coupling and coordination model of large data industry system and ecological civilization construction system is constructed. According to the grey relational projection value calculated, the differences of the development level of big data industry and the level of ecological civilization construction in each prefecture and city are compared and analyzed, and then the corresponding measures are put forward according to the regional differences. Finally, nine prefectures in Guizhou are calculated by using the coupling coordination model. The change and development trend of coupling coordination degree between big data industry and ecological civilization construction in five years in the city of Guizhou are analyzed quantitatively. The development situation of coupling between big data industry system and ecological civilization construction system in Guizhou prefecture-level cities from 2013 to 2017 is analyzed, and relevant policy suggestions are put forward to further promote the construction of big data industry and ecological civilization in Guizhou. Deep and coordinated development. Keywords—Search Engine Data; Large Data Industry Level Evaluation; Ecological Civilization Construction Level Evaluation; Coupling and Coordination 摘要—为促进贵州大数据产业与生态文明建设协调发展, 本文以定性分析与定量分析相结合的方法,首先创造性地将 搜索引擎数据-百度指数引入到评价体系中,建立了包含产业 规模、基础设施、百度指数三个一级指标的大数据产业水平 评级指标体系和包含生态经济、生态环境、生态宜居和生态 文化四个一级指标的生态文明建设水平评价指标体系;然 后,采用 2013-2017 年贵州省九个地州市的面板数据,构建 出大数据产业系统与生态文明建设系统的耦合协调模型,并 运用熵权法赋予各指标权重,根据计算所得的灰色关联投影 值,比较分析各个地州市的大数据产业发展水平和生态文明 建设水平的差异,进而针对地区的差异提出针对性的措施; 最后,运用耦合协调模型计算贵州九个地州市五年内的大数 据产业和生态文明建设的耦合协调度变化情况与发展趋势, 定量分析贵州地级市 2013-2017 年大数据产业系统与生态文 明建设系统耦合的发展情况,并提出相关政策建议,进一步 促进贵州大数据产业与生态文明建设的深度协调发展。 关键词—搜索引擎数据,大数据产业水平评级,生态文明 建设水平评价,耦合协调