Research On Improving The Coordination Mechanism Of Service Industry Statistics Of Jinjiang City

As the new engine of modern economy, the service industry becomes more and more important in the whole national economy. Its development level and situation has become an important symbol reflecting the level of modernization and competitiveness of countries and regions. And finally the development level of service industry is reflected by the statistical data. So the importance of the service industry statistical work is self-evident. However the current statistical system of service industry has many flaws and imperfections, which resulted in the existing service industry statistics can’t accurately reflect the development level. And furthermore the result can’t meet ruling party and social public demands of information services. Therefore, improving current statistics system has become more and more important. As the base of all statistical work, the working quality of basic-level statistics organizations has become more and more important.Based on the above, the author wrote this paper on the basis of seriously studying and consulting relevant books and documents, and combining with the research on the economy and statistics work of Jinjiang City. And the paper described the current system and importance of basic-level services industry statistics work, clarified the concept and relationship of comprehensive government statistics and department statistics. The study theory of the paper was cross-sector coordination theory. On the study of theory, the author analyzed and evaluated the current service industry statistics work. Furthermore combining with the current quo of Jinjiang City, the author analyzed and summarized that there were lacking coordination in longitudinal relationship and lateral relationship. Finally the paper summed up the causes behind the lack of coordination, and put forward suggestions to improve the work mechanism to service industry statistics of Jinjiang City. The paper hopes to provide reference to collaborative optimization of Jinjiang service industry statistics work.